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Cluster information is now derived from the job archive.\n 19→- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n 20→ restricted.\n 21→\n 22→### Architecture changes\n 23→\n 24→- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n 25→ router. This should be transparent to users but affects how middleware and\n 26→ routes are composed. A proper 404 handler is now in place.\n 27→- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n 28→ to `pkg/` as it is now part of the public API.\n 29→- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n 30→- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n 31→ and renamed to \"Cleanup\" for clarity.\n 32→- **`minRunningFor` filter removed**: This undocumented filter has been removed\n 33→ from the API and frontend.\n 34→\n 35→### Dependency changes\n 36→\n 37→- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n 38→- **cclib NATS client**: Now using the cclib NATS client implementation\n 39→- Removed obsolete `util.Float` usage from cclib\n 40→\n 41→## Major new features\n 42→\n 43→### NATS API Integration\n 44→\n 45→- **Real-time job events**: Subscribe to job start/stop events via NATS\n 46→- **Node state updates**: Receive real-time node state changes via NATS\n 47→- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n 48→- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n 49→\n 50→### Public Dashboard\n 51→\n 52→- **Public-facing interface**: New public dashboard route for external users\n 53→- **DoubleMetricPlot component**: New visualization component for comparing metrics\n 54→- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n 55→\n 56→### Enhanced Node Management\n 57→\n 58→- **Node state tracking**: New node table in database with timestamp tracking\n 59→- **Node state filtering**: Filter jobs by node state in systems view\n 60→- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n 61→- **Nodestate retention and archiving**: Node state data is now subject to configurable\n 62→ retention policies and can be archived to Parquet format for long-term storage\n 63→- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n 64→\n 65→### Health Monitoring\n 66→\n 67→- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n 68→ showing per-node metric health across the cluster\n 69→- **CCMS health check**: Support for querying health status of external\n 70→ cc-metric-store (CCMS) instances via the API\n 71→- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n 72→- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n 73→\n 74→### Log Viewer\n 75→\n 76→- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n 77→ backend log output directly from the browser without shell access\n 78→- **Accessible from header**: Quick access link from the navigation header\n 79→\n 80→### MetricStore Improvements\n 81→\n 82→- **Memory tracking worker**: New worker for CCMS memory usage tracking\n 83→- **Dynamic retention**: Support for job specific dynamic retention times\n 84→- **Improved compression**: Transparent compression for job archive imports\n 85→- **Parallel processing**: Parallelized Iter function in all archive backends\n 86→\n 87→### Job Tagging System\n 88→\n 89→- **Job tagger option**: Enable automatic job tagging via configuration flag\n 90→- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n 91→- **Job classification**: Automatic detection of pathological jobs\n 92→- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n 93→- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n 94→ without restarting the backend\n 95→\n 96→### Archive Backends\n 97→\n 98→- **Parquet archive format**: New Parquet file format for job archiving, providing\n 99→ columnar storage with efficient compression for analytical workloads\n 100→- **S3 backend**: Full support for S3-compatible object storage\n 101→- **SQLite backend**: Full support for SQLite backend using blobs\n 102→- **Performance improvements**: Fixed performance bugs in archive backends\n 103→- **Better error handling**: Improved error messages and fallback handling\n 104→- **Zstd compression**: Parquet writers use zstd compression for better\n 105→ compression ratios compared to the previous snappy default\n 106→- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n 107→ cluster, subcluster, and start time for efficient range queries\n 108→\n 109→### Unified Archive Retention and Format Conversion\n 110→\n 111→- **Uniform retention policy**: Job archive retention now supports both JSON and\n 112→ Parquet as target formats under a single, consistent policy configuration\n 113→- **Archive manager tool**: The `tools/archive-manager` utility now supports\n 114→ format conversion between JSON and Parquet job archives\n 115→- **Parquet reader**: Full Parquet archive reader implementation for reading back\n 116→ archived job data\n 117→\n 118→## New features and improvements\n 119→\n 120→### Frontend\n 121→\n 122→- **Loading indicators**: Added loading indicators to status detail and job lists\n 123→- **Job info layout**: Reviewed and improved job info row layout\n 124→- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n 125→- **Filter presets**: Move list filter preset to URL for easy sharing\n 126→- **Job comparison**: Improved job comparison views and plots\n 127→- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n 128→- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n 129→ replaces the removed undocumented `minRunningFor` filter\n 130→- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n 131→ plots in a job list row for easier cross-metric comparison\n 132→- **Disabled metrics handling**: Improved handling and display of disabled metrics\n 133→ across job view, node view, and list rows\n 134→- **\"Not configured\" info cards**: Informational cards shown when optional features\n 135→ are not yet configured\n 136→- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n 137→- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n 138→\n 139→### Backend\n 140→\n 141→- **Progress bars**: Import function now shows progress during long operations\n 142→- **Better logging**: Improved logging with appropriate log levels throughout\n 143→- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n 144→- **Configuration defaults**: Sensible defaults for most configuration options\n 145→- **Documentation**: Extensive documentation improvements across packages\n 146→- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n 147→\n 148→### Security\n 149→\n 150→- **LDAP security hardening**: Improved input validation, connection handling, and\n 151→ error reporting in the LDAP authenticator\n 152→- **OIDC security hardening**: Stricter token validation and improved error handling\n 153→ in the OIDC authenticator\n 154→- **Auth schema extensions**: Additional schema fields for improved auth configuration\n 155→\n 156→### API improvements\n 157→\n 158→- **Role-based metric visibility**: Metrics can now have role-based access control\n 159→- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n 160→- **Improved error messages**: Better error messages and documentation in REST API\n 161→- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n 162→- **Stop job lookup order**: Reversed lookup order in stop job requests for\n 163→ more reliable job matching (cluster+jobId first, then jobId alone)\n 164→\n 165→### Performance\n 166→\n 167→- **Database indices**: Optimized SQLite indices for better query performance\n 168→- **Job cache**: Introduced caching table for faster job inserts\n 169→- **Parallel imports**: Archive imports now run in parallel where possible\n 170→- **External tool integration**: Optimized use of external tools (fd) for better performance\n 171→- **Node repository queries**: Reviewed and optimized node repository SQL queries\n 172→- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n 173→\n 174→### Developer experience\n 175→\n 176→- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n 177→- **Example API payloads**: Added example JSON API payloads for testing\n 178→- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n 179→- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n 180→ to avoid state pollution between test runs\n 181→- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n 182→\n 183→## Bug fixes\n 184→\n 185→- Fixed nodelist paging issues\n 186→- Fixed metric select drag and drop functionality\n 187→- Fixed render race conditions in nodeList\n 188→- Fixed tag count grouping including type\n 189→- Fixed wrong metricstore schema (missing comma)\n 190→- Fixed configuration issues causing shutdown hangs\n 191→- Fixed deadlock when NATS is not configured\n 192→- Fixed archive backend performance bugs\n 193→- Fixed continuous scroll buildup on refresh\n 194→- Improved footprint calculation logic\n 195→- Fixed polar plot data query decoupling\n 196→- Fixed missing resolution parameter handling\n 197→- Fixed node table initialization fallback\n 198→- Fixed reactivity key placement in nodeList\n 199→- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n 200→- Fixed job always being transferred to main job table before archiving\n 201→- Fixed AppTagger error handling and logging\n 202→- Fixed log endpoint formatting and correctness\n 203→- Fixed automatic refresh in metric status tab\n 204→- Fixed NULL value handling in `health_state` and `health_metrics` columns\n 205→- Fixed bugs related to `job_cache` IDs being used in the main job table\n 206→- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n 207→- Fixed 404 handler route for sub-routers\n 208→\n 209→## Configuration changes\n 210→\n 211→### New configuration options\n 212→\n 213→```json\n 214→{\n 215→ \"main\": {\n 216→ \"enable-job-taggers\": true,\n 217→ \"resampling\": {\n 218→ \"minimum-points\": 600,\n 219→ \"trigger\": 180,\n 220→ \"resolutions\": [240, 60]\n 221→ },\n 222→ \"api-subjects\": {\n 223→ \"subject-job-event\": \"cc.job.event\",\n 224→ \"subject-node-state\": \"cc.node.state\"\n 225→ }\n 226→ },\n 227→ \"nats\": {\n 228→ \"address\": \"nats://0.0.0.0:4222\",\n 229→ \"username\": \"root\",\n 230→ \"password\": \"root\"\n 231→ },\n 232→ \"cron\": {\n 233→ \"commit-job-worker\": \"1m\",\n 234→ \"duration-worker\": \"5m\",\n 235→ \"footprint-worker\": \"10m\"\n 236→ },\n 237→ \"metric-store\": {\n 238→ \"cleanup\": {\n 239→ \"mode\": \"archive\",\n 240→ \"interval\": \"48h\",\n 241→ \"directory\": \"./var/archive\"\n 242→ }\n 243→ },\n 244→ \"archive\": {\n 245→ \"retention\": {\n 246→ \"policy\": \"delete\",\n 247→ \"age\": \"6months\",\n 248→ \"target-format\": \"parquet\"\n 249→ }\n 250→ },\n 251→ \"nodestate\": {\n 252→ \"retention\": {\n 253→ \"policy\": \"archive\",\n 254→ \"age\": \"30d\",\n 255→ \"archive-path\": \"./var/nodestate-archive\"\n 256→ }\n 257→ }\n 258→}\n 259→```\n 260→\n 261→## Migration notes\n 262→\n 263→- Review and update your `config.json` to use kebab-case attribute names\n 264→- If using NATS, configure the new `nats` and `api-subjects` sections\n 265→- If using S3 archive backend, configure the new `archive` section options\n 266→- Test the new public dashboard at `/public` route\n 267→- Review cron worker configuration if you need different frequencies\n 268→- If using the archive retention feature, configure the `target-format` option\n 269→ to choose between `json` (default) and `parquet` output formats\n 270→- Consider enabling nodestate retention if you track node states over time\n 271→\n 272→## Known issues\n 273→\n 274→- The new dynamic memory management is not bullet proof yet across restarts. We\n 275→ will fix that in a subsequent patch release\n 276→- Currently energy footprint metrics of type energy are ignored for calculating\n 277→ total energy.\n 278→- With energy footprint metrics of type power the unit is ignored and it is\n 279→ assumed the metric has the unit Watt.\n 280→"}]},"uuid":"032814a4-6372-43ec-8dec-f867095b6384","timestamp":"2026-03-12T05:37:46.035Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md","content":"# `cc-backend` version 1.5.1\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n }\n },\n \"archive\": {\n \"retention\": {\n \"policy\": \"delete\",\n \"age\": \"6months\",\n \"target-format\": \"parquet\"\n }\n },\n \"nodestate\": {\n \"retention\": {\n \"policy\": \"archive\",\n \"age\": \"30d\",\n \"archive-path\": \"./var/nodestate-archive\"\n }\n }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts. 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Sanitize sqlite config and make it configurablex. Allow to cancel queries.\nc8d8f708 Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix\ndc7407d0 fix: prevent segvault if enable-job-taggers option is tru but tagger config directories are missing\neba39956 Add Analyse on db startup\nf8831e70 Fixed merge errors\n1cf99206 Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix\n5d3d7762 fix: Add defer.close for all queries\n5c726641 bump frontend patch versions\nf3e796f3 add nullsafes to node view\ncc38b174 fix wrong field checked vor json validity\n282197eb fix: Round floats in tagger message\nd2bc046f fix ranged filter GT and LT conditions, reduce energy filter preset","is_error":false}]},"uuid":"bf39d08e-5b3a-4b8e-82b0-d94e9bf1e318","timestamp":"2026-03-12T05:37:47.283Z","toolUseResult":{"stdout":"2506a92c Remove entire log\n972b1403 add db migration 11, optimizing index count\naf78f06c fix: Reduce complexity for groupBy stats queries\n6e0fe625 Add new db config options to README\ne70310dc fix: Segvault when taggers are enabled but rule directories missing\n00d2f97c fix: Large heap allocations in sqlite driver. Sanitize sqlite config and make it configurablex. Allow to cancel queries.\nc8d8f708 Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix\ndc7407d0 fix: prevent segvault if enable-job-taggers option is tru but tagger config directories are missing\neba39956 Add Analyse on db startup\nf8831e70 Fixed merge errors\n1cf99206 Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix\n5d3d7762 fix: Add defer.close for all queries\n5c726641 bump frontend patch versions\nf3e796f3 add nullsafes to node view\ncc38b174 fix wrong field checked vor json validity\n282197eb fix: Round floats in tagger message\nd2bc046f fix ranged filter GT and LT conditions, reduce energy filter preset","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"817f7f5f-9f44-4c6f-833a-79346755812e"} 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+{"parentUuid":"712801ce-097a-4e8a-8b8e-142458bbf7f3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ff9dfa67-f76a-4fef-88c2-6f742aa095ee","version":"2.1.72","gitBranch":"hotfix","slug":"tranquil-splashing-swan","message":{"model":"claude-opus-4-6","id":"msg_01TWy9NrZkxiQqX49LemUEmt","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check what's already staged/modified in ReleaseNotes and look at the diff."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4395,"cache_read_input_tokens":18397,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4395},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYxeSEuhjv921cogWyMyy","type":"assistant","uuid":"aefa24ee-91aa-4984-b10a-cee73669f0ab","timestamp":"2026-03-12T05:37:51.873Z"} 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ReleaseNotes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4395,"cache_read_input_tokens":18397,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4395},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYxeSEuhjv921cogWyMyy","type":"assistant","uuid":"7dbe6bcd-2ad6-4400-a8d4-7c731de3124f","timestamp":"2026-03-12T05:37:56.586Z"} +{"parentUuid":"7dbe6bcd-2ad6-4400-a8d4-7c731de3124f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ff9dfa67-f76a-4fef-88c2-6f742aa095ee","version":"2.1.72","gitBranch":"hotfix","slug":"tranquil-splashing-swan","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0127JzZkTVhyzasuZVJF9ep6","type":"tool_result","content":"diff --git a/ReleaseNotes.md b/ReleaseNotes.md\nindex 5447167e..fef824e8 100644\n--- a/ReleaseNotes.md\n+++ b/ReleaseNotes.md\n@@ -1,8 +1,8 @@\n-# `cc-backend` version 1.5.0\n+# `cc-backend` version 1.5.1\n \n-Supports job archive version 3 and database version 10.\n+Supports job archive version 3 and database version 11.\n \n-This is a feature release of `cc-backend`, the API backend and frontend\n+This is a bugfix release of `cc-backend`, the API backend and frontend\n implementation of ClusterCockpit.\n For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n \n@@ -34,7 +34,7 @@ For release specific notes visit the [ClusterCockpit Documentation](https://clus\n \n ### Dependency changes\n \n-- **cc-lib v2.5.1**: Switched to cc-lib version 2 with updated APIs (currently at v2.5.1)\n+- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n - **cclib NATS client**: Now using the cclib NATS client implementation\n - Removed obsolete `util.Float` usage from cclib","is_error":false}]},"uuid":"c1ce031e-30fd-42cf-a4b2-1985ab106b12","timestamp":"2026-03-12T05:37:56.626Z","toolUseResult":{"stdout":"diff --git a/ReleaseNotes.md b/ReleaseNotes.md\nindex 5447167e..fef824e8 100644\n--- a/ReleaseNotes.md\n+++ b/ReleaseNotes.md\n@@ -1,8 +1,8 @@\n-# `cc-backend` version 1.5.0\n+# `cc-backend` version 1.5.1\n \n-Supports job archive version 3 and database version 10.\n+Supports job archive version 3 and database version 11.\n \n-This is a feature release of `cc-backend`, the API backend and frontend\n+This is a bugfix release of `cc-backend`, the API backend and frontend\n implementation of ClusterCockpit.\n For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n \n@@ -34,7 +34,7 @@ For release specific notes visit the [ClusterCockpit Documentation](https://clus\n \n ### Dependency changes\n \n-- **cc-lib v2.5.1**: Switched to cc-lib version 2 with updated APIs (currently at v2.5.1)\n+- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n - **cclib NATS client**: Now using the cclib NATS client implementation\n - Removed obsolete `util.Float` usage from cclib","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7dbe6bcd-2ad6-4400-a8d4-7c731de3124f"} +{"parentUuid":"c1ce031e-30fd-42cf-a4b2-1985ab106b12","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ff9dfa67-f76a-4fef-88c2-6f742aa095ee","version":"2.1.72","gitBranch":"hotfix","slug":"tranquil-splashing-swan","message":{"model":"claude-opus-4-6","id":"msg_01TWy9NrZkxiQqX49LemUEmt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016k6RxB9cQp5FbjAhTB3BXB","name":"Bash","input":{"command":"git log --oneline v1.5.0..HEAD --format=\"%h %s\" | head -40","description":"Full commit list since 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Sanitize sqlite config and make it configurablex. 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fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes","originalFile":"# `cc-backend` version 1.5.1\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n }\n },\n \"archive\": {\n \"retention\": {\n \"policy\": \"delete\",\n \"age\": \"6months\",\n \"target-format\": \"parquet\"\n }\n },\n \"nodestate\": {\n \"retention\": {\n \"policy\": \"archive\",\n \"age\": \"30d\",\n \"archive-path\": \"./var/nodestate-archive\"\n }\n }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts. We\n will fix that in a subsequent patch release\n- Currently energy footprint metrics of type energy are ignored for calculating\n total energy.\n- With energy footprint metrics of type power the unit is ignored and it is\n assumed the metric has the unit Watt.\n","structuredPatch":[{"oldStart":6,"oldLines":6,"newStart":6,"newLines":38,"lines":[" implementation of ClusterCockpit."," For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/)."," ","+## Changes in 1.5.1","+","+### Database","+","+- **New migration (version 11)**: Optimized database index count for better performance","+- **ANALYZE on startup**: Database statistics are now refreshed on startup for improved query planning","+- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver","+- **Query cancellation**: Long-running database queries can now be cancelled","+- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets","+","+### Bug fixes","+","+- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing","+- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries","+- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters","+- **Energy filter preset**: Reduced energy filter preset to a more practical default","+- **JSON validity check**: Fixed wrong field being checked for JSON validity","+- **Tagger float rounding**: Fixed rounding of floats in tagger messages","+- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors","+","+### Frontend","+","+- **Bumped patch versions**: Updated frontend dependencies to latest patch versions","+","+### Documentation","+","+- **New DB config options**: Added new database configuration options to README","+","+---","+","+*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*","+"," ## Breaking changes"," "," ### Configuration changes"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5a37fed3-3708-4b22-95a8-2e4359164bd2"} +{"parentUuid":"c186310a-0aff-43c1-be98-46bba0d06442","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ff9dfa67-f76a-4fef-88c2-6f742aa095ee","version":"2.1.72","gitBranch":"hotfix","slug":"tranquil-splashing-swan","message":{"model":"claude-opus-4-6","id":"msg_012nZuZYUK6C3pSXNukiS935","type":"message","role":"assistant","content":[{"type":"text","text":"The ReleaseNotes have been updated with a new **Changes in 1.5.1** section that highlights:\n\n- **Database**: Migration 11 (index optimization), ANALYZE on startup, SQLite config hardening with query cancellation, resource leak fixes\n- **Bug fixes**: Segfault with missing tagger directories, groupBy query complexity, ranged filter GT/LT conditions, JSON validity check, tagger float rounding, node view null safety\n- **Frontend**: Bumped patch versions\n- **Documentation**: New DB config options in README\n\nThe existing 1.5.0 content is preserved below with a separator note."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":963,"cache_read_input_tokens":23769,"output_tokens":144,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":963,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYxeUo6mJPrVtamo4t8L2","type":"assistant","uuid":"82444d76-c16f-4e74-9db6-b8f22caeaed8","timestamp":"2026-03-12T05:38:26.258Z"} +{"parentUuid":"82444d76-c16f-4e74-9db6-b8f22caeaed8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ff9dfa67-f76a-4fef-88c2-6f742aa095ee","version":"2.1.72","gitBranch":"hotfix","slug":"tranquil-splashing-swan","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"f905779a-0fc4-4c36-b6bb-c28f32a64b9d","toolUseID":"f905779a-0fc4-4c36-b6bb-c28f32a64b9d","timestamp":"2026-03-12T05:38:26.321Z","uuid":"e760894f-f9a0-4982-8f4f-277700d791bd"} +{"parentUuid":"e760894f-f9a0-4982-8f4f-277700d791bd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ff9dfa67-f76a-4fef-88c2-6f742aa095ee","version":"2.1.72","gitBranch":"hotfix","slug":"tranquil-splashing-swan","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":422}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-12T05:38:26.743Z","uuid":"18380d7c-192b-4ee0-b212-173da3098b41","toolUseID":"f905779a-0fc4-4c36-b6bb-c28f32a64b9d"} +{"parentUuid":"18380d7c-192b-4ee0-b212-173da3098b41","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"ff9dfa67-f76a-4fef-88c2-6f742aa095ee","version":"2.1.72","gitBranch":"hotfix","slug":"tranquil-splashing-swan","type":"system","subtype":"turn_duration","durationMs":41791,"timestamp":"2026-03-12T05:38:26.744Z","uuid":"a9bf8197-e0ad-4059-b474-45991cb75819","isMeta":false} diff --git a/15/cc90a0347a/0/metadata.json b/15/cc90a0347a/0/metadata.json new file mode 100644 index 00000000..5a3e28ef --- /dev/null +++ b/15/cc90a0347a/0/metadata.json @@ -0,0 +1,35 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "15cc90a0347a", + "session_id": "ff9dfa67-f76a-4fef-88c2-6f742aa095ee", + "strategy": "manual-commit", + "created_at": "2026-03-12T05:40:36.523558Z", + "branch": "hotfix", + "checkpoints_count": 1, + "files_touched": [ + "Makefile", + "ReleaseNotes.md" + ], + "agent": "Claude Code", + "model": "claude-opus-4-6", + "turn_id": "1a27777398be", + "token_usage": { + "input_tokens": 6, + "cache_creation_tokens": 18228, + "cache_read_tokens": 71462, + "output_tokens": 1499, + "api_call_count": 4 + }, + "session_metrics": { + "turn_count": 1 + }, + "initial_attribution": { + "calculated_at": "2026-03-12T05:40:36.483727Z", + "agent_lines": 27, + "human_added": 0, + "human_modified": 5, + "human_removed": 0, + "total_committed": 32, + "agent_percentage": 84.375 + } +} diff --git a/15/cc90a0347a/0/prompt.txt b/15/cc90a0347a/0/prompt.txt new file mode 100644 index 00000000..3d67edcf --- /dev/null +++ b/15/cc90a0347a/0/prompt.txt @@ -0,0 +1 @@ +Update the ReleaseNotes for the bugfix release 1.5.1 . Keep the existing information and highlight changes and fixes. \ No newline at end of file diff --git a/15/cc90a0347a/metadata.json b/15/cc90a0347a/metadata.json new file mode 100644 index 00000000..ad6096e8 --- /dev/null +++ b/15/cc90a0347a/metadata.json @@ -0,0 +1,26 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "15cc90a0347a", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 1, + "files_touched": [ + "Makefile", + "ReleaseNotes.md" + ], + "sessions": [ + { + "metadata": "/15/cc90a0347a/0/metadata.json", + "transcript": "/15/cc90a0347a/0/full.jsonl", + "content_hash": "/15/cc90a0347a/0/content_hash.txt", + "prompt": "/15/cc90a0347a/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 6, + "cache_creation_tokens": 18228, + "cache_read_tokens": 71462, + "output_tokens": 1499, + "api_call_count": 4 + } +} diff --git a/35/f06df74b51/0/content_hash.txt b/35/f06df74b51/0/content_hash.txt new file mode 100644 index 00000000..e4230c7b --- /dev/null +++ b/35/f06df74b51/0/content_hash.txt @@ -0,0 +1 @@ +sha256:b99c9b469fa38a87819748fa634a401dfd0c2b14393b77824abc59c9e0f5dcec \ No newline at end of file diff --git a/35/f06df74b51/0/full.jsonl b/35/f06df74b51/0/full.jsonl new file mode 100644 index 00000000..9bccd505 --- /dev/null +++ b/35/f06df74b51/0/full.jsonl @@ -0,0 +1,232 @@ +{"type":"file-history-snapshot","messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"70a112de-87e3-427c-a118-14893d28b404","toolUseID":"70a112de-87e3-427c-a118-14893d28b404","timestamp":"2026-03-13T13:23:59.350Z","uuid":"df60955c-f9ff-4dab-a61c-5f1dfbe81b17","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"df60955c-f9ff-4dab-a61c-5f1dfbe81b17","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3643a384-f90b-4f89-9ba0-2e5861a4674c.jsonl"},"uuid":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","timestamp":"2026-03-13T13:23:56.397Z","planContent":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EokCCkYICxgCKkCdG8qTncIMduu4zwRjj7Z6HD4E3ibSocGCEFy+okymW5hfegj+cwP+HURWuVT4O1mWtXVgfpBHoKX+2oLylj9sEgwzPGsPnXjYFcxrKFMaDAev4ooJ446eDxy1ByIw8Y/W4j3SnXno88TnaXfVze4x2NJ/fsEAd4xKVdz7anms4SsFMwuqBGzhkkNcE6cIKnFjrmygWDzz8SeuNa+3x/VHQgewNhEDgadxFWXFeP12LS0UWwVyFceHfznPgkQfzLjsXeu8yquLwdiYpbc7X4K47PYdHYV90GCwv/a1IwOBq1n9oZLjbgVCMGXto3AuEFw9aE+wxdxG40sfQfQOqepm1hgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"d570cc63-fff0-4997-aee5-0171d2050e1c","timestamp":"2026-03-13T13:24:02.290Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d570cc63-fff0-4997-aee5-0171d2050e1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the key files first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"d16731dc-9a95-47b3-bcee-11eed8eac424","timestamp":"2026-03-13T13:24:02.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d16731dc-9a95-47b3-bcee-11eed8eac424","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","timestamp":"2026-03-13T13:24:03.594Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","toolUseID":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","timestamp":"2026-03-13T13:24:03.607Z","uuid":"4362feed-5761-4afe-9d12-74e8a7e8bb6b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n 25→// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n 26→// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n 27→// - Version 10: Node table\n 28→//\n 29→// Migration files are embedded at build time from the migrations directory.\n 30→const Version uint = 13\n 31→\n 32→//go:embed migrations/*\n 33→var migrationFiles embed.FS\n 34→\n 35→// checkDBVersion verifies that the database schema version matches the expected version.\n 36→// This is called automatically during Connect() to ensure schema compatibility.\n 37→//\n 38→// Returns an error if:\n 39→// - Database version is older than expected (needs migration)\n 40→// - Database version is newer than expected (needs app upgrade)\n 41→// - Database is in a dirty state (failed migration)\n 42→//\n 43→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 44→// This requires manual intervention to fix the database and force the version.\n 45→func checkDBVersion(db *sql.DB) error {\n 46→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 47→\tif err != nil {\n 48→\t\treturn err\n 49→\t}\n 50→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 51→\tif err != nil {\n 52→\t\treturn err\n 53→\t}\n 54→\n 55→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 56→\tif err != nil {\n 57→\t\treturn err\n 58→\t}\n 59→\n 60→\tv, dirty, err := m.Version()\n 61→\tif err != nil {\n 62→\t\tif err == migrate.ErrNilVersion {\n 63→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 64→\t\t} else {\n 65→\t\t\treturn err\n 66→\t\t}\n 67→\t}\n 68→\n 69→\tif v < Version {\n 70→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 71→\t} else if v > Version {\n 72→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 73→\t}\n 74→\n 75→\tif dirty {\n 76→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 77→\t}\n 78→\n 79→\treturn nil\n 80→}\n 81→\n 82→// getMigrateInstance creates a new migration instance for the given database file.\n 83→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 84→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 85→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 86→\tif err != nil {\n 87→\t\treturn nil, err\n 88→\t}\n 89→\n 90→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 91→\tif err != nil {\n 92→\t\treturn nil, err\n 93→\t}\n 94→\n 95→\treturn m, nil\n 96→}\n 97→\n 98→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 99→// This should be run with the -migrate-db flag before starting the application\n 100→// after upgrading to a new version that requires schema changes.\n 101→//\n 102→// Process:\n 103→// 1. Checks current database version\n 104→// 2. Applies all migrations from current version to target Version\n 105→// 3. Updates schema_migrations table to track applied migrations\n 106→//\n 107→// Important:\n 108→// - Always backup your database before running migrations\n 109→// - Migrations are irreversible without manual intervention\n 110→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 111→//\n 112→// Usage:\n 113→//\n 114→//\tcc-backend -migrate-db\n 115→func MigrateDB(db string) error {\n 116→\tm, err := getMigrateInstance(db)\n 117→\tif err != nil {\n 118→\t\treturn err\n 119→\t}\n 120→\n 121→\tv, dirty, err := m.Version()\n 122→\tif err != nil {\n 123→\t\tif err == migrate.ErrNilVersion {\n 124→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 125→\t\t} else {\n 126→\t\t\treturn err\n 127→\t\t}\n 128→\t}\n 129→\n 130→\tif v < Version {\n 131→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 132→\t}\n 133→\n 134→\tif dirty {\n 135→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 136→\t}\n 137→\n 138→\tif err := m.Up(); err != nil {\n 139→\t\tif err == migrate.ErrNoChange {\n 140→\t\t\tcclog.Info(\"DB already up to date!\")\n 141→\t\t} else {\n 142→\t\t\treturn err\n 143→\t\t}\n 144→\t}\n 145→\n 146→\tm.Close()\n 147→\treturn nil\n 148→}\n 149→\n 150→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 151→// This is primarily used for testing or emergency rollback scenarios.\n 152→//\n 153→// Warning:\n 154→// - This may cause data loss if newer schema added columns/tables\n 155→// - Always backup before reverting\n 156→// - Not all migrations are safely reversible\n 157→//\n 158→// Usage:\n 159→//\n 160→//\tcc-backend -revert-db\n 161→func RevertDB(db string) error {\n 162→\tm, err := getMigrateInstance(db)\n 163→\tif err != nil {\n 164→\t\treturn err\n 165→\t}\n 166→\n 167→\tif err := m.Migrate(Version - 1); err != nil {\n 168→\t\tif err == migrate.ErrNoChange {\n 169→\t\t\tcclog.Info(\"DB already up to date!\")\n 170→\t\t} else {\n 171→\t\t\treturn err\n 172→\t\t}\n 173→\t}\n 174→\n 175→\tm.Close()\n 176→\treturn nil\n 177→}\n 178→\n 179→// ForceDB forces the database schema version to the current Version without running migrations.\n 180→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 181→//\n 182→// When to use:\n 183→// - After manually fixing a failed migration\n 184→// - When you've manually applied schema changes and need to update the version marker\n 185→//\n 186→// Warning:\n 187→// - This does NOT apply any schema changes\n 188→// - Only use after manually verifying the schema is correct\n 189→// - Improper use can cause schema/version mismatch\n 190→//\n 191→// Usage:\n 192→//\n 193→//\tcc-backend -force-db\n 194→func ForceDB(db string) error {\n 195→\tm, err := getMigrateInstance(db)\n 196→\tif err != nil {\n 197→\t\treturn err\n 198→\t}\n 199→\n 200→\tif err := m.Force(int(Version)); err != nil {\n 201→\t\treturn err\n 202→\t}\n 203→\n 204→\tm.Close()\n 205→\treturn nil\n 206→}\n 207→"}]},"uuid":"5b8ee254-de84-46c5-8a9d-26b77f4443ad","timestamp":"2026-03-13T13:24:03.607Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":207,"startLine":1,"totalLines":207}},"sourceToolAssistantUUID":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5b8ee254-de84-46c5-8a9d-26b77f4443ad","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","timestamp":"2026-03-13T13:24:04.177Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","toolUseID":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","timestamp":"2026-03-13T13:24:04.186Z","uuid":"26758fad-e9a2-40f3-bf96-47654bd998e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tif len(filter.State) == 1 {\n 201→\t\t\tsingleStat := string(filter.State[0])\n 202→\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n 203→\t\t} else {\n 204→\t\t\tstates := make([]string, len(filter.State))\n 205→\t\t\tfor i, val := range filter.State {\n 206→\t\t\t\tstates[i] = string(val)\n 207→\t\t\t}\n 208→\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 209→\t\t}\n 210→\t}\n 211→\tif filter.Shared != nil {\n 212→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 213→\t}\n 214→\tif filter.Project != nil {\n 215→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 216→\t}\n 217→\tif filter.User != nil {\n 218→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 219→\t}\n 220→\tif filter.NumNodes != nil {\n 221→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 222→\t}\n 223→\tif filter.NumAccelerators != nil {\n 224→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 225→\t}\n 226→\tif filter.NumHWThreads != nil {\n 227→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 228→\t}\n 229→\tif filter.ArrayJobID != nil {\n 230→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 231→\t}\n 232→\tif filter.StartTime != nil {\n 233→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 234→\t}\n 235→\tif filter.Duration != nil {\n 236→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 237→\t}\n 238→\tif filter.Energy != nil {\n 239→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 240→\t}\n 241→\t// Indices on Tag Table\n 242→\tif filter.Tags != nil {\n 243→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 244→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 245→\t}\n 246→\t// No explicit Indices\n 247→\tif filter.JobID != nil {\n 248→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 249→\t}\n 250→\t// Queries Within JSONs\n 251→\tif filter.MetricStats != nil {\n 252→\t\tfor _, ms := range filter.MetricStats {\n 253→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 254→\t\t}\n 255→\t}\n 256→\tif filter.Node != nil {\n 257→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 258→\t}\n 259→\tif filter.JobName != nil {\n 260→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 261→\t}\n 262→\tif filter.Schedule != nil {\n 263→\t\tinteractiveJobname := \"interactive\"\n 264→\t\tswitch *filter.Schedule {\n 265→\t\tcase \"interactive\":\n 266→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 267→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 268→\t\tcase \"batch\":\n 269→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 270→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 271→\t\t}\n 272→\t}\n 273→\n 274→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 275→\tif filter.MinRunningFor != nil {\n 276→\t\tnow := time.Now().Unix()\n 277→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 278→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 279→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 280→\t}\n 281→\treturn query\n 282→}\n 283→\n 284→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 285→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 286→\tif cond.From != 1 && cond.To != 0 {\n 287→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 288→\t} else if cond.From != 1 && cond.To == 0 {\n 289→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 290→\t} else if cond.From == 1 && cond.To != 0 {\n 291→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 292→\t} else {\n 293→\t\treturn query\n 294→\t}\n 295→}\n 296→\n 297→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 298→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 299→\tif cond.From != 1.0 && cond.To != 0.0 {\n 300→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 301→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 302→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 303→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 304→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 305→\t} else {\n 306→\t\treturn query\n 307→\t}\n 308→}\n 309→\n 310→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 311→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 312→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 313→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 314→\tif cond.From != nil && cond.To != nil {\n 315→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 316→\t} else if cond.From != nil {\n 317→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 318→\t} else if cond.To != nil {\n 319→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 320→\t} else if cond.Range != \"\" {\n 321→\t\tnow := time.Now().Unix()\n 322→\t\tvar then int64\n 323→\t\tswitch cond.Range {\n 324→\t\tcase \"last6h\":\n 325→\t\t\tthen = now - (60 * 60 * 6)\n 326→\t\tcase \"last24h\":\n 327→\t\t\tthen = now - (60 * 60 * 24)\n 328→\t\tcase \"last7d\":\n 329→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 330→\t\tcase \"last30d\":\n 331→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 332→\t\tdefault:\n 333→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 334→\t\t\treturn query\n 335→\t\t}\n 336→\t\treturn query.Where(field+\" >= ?\", then)\n 337→\t} else {\n 338→\t\treturn query\n 339→\t}\n 340→}\n 341→\n 342→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 343→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 344→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 345→\tif cond.From != 1.0 && cond.To != 0.0 {\n 346→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 347→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 349→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 350→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 351→\t} else {\n 352→\t\treturn query\n 353→\t}\n 354→}\n 355→\n 356→// buildStringCondition creates filters for string fields supporting equality,\n 357→// inequality, prefix, suffix, substring, and IN list matching.\n 358→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 359→\tif cond.Eq != nil {\n 360→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 361→\t}\n 362→\tif cond.Neq != nil {\n 363→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 364→\t}\n 365→\tif cond.StartsWith != nil {\n 366→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 367→\t}\n 368→\tif cond.EndsWith != nil {\n 369→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 370→\t}\n 371→\tif cond.Contains != nil {\n 372→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 373→\t}\n 374→\tif cond.In != nil {\n 375→\t\tqueryElements := make([]string, len(cond.In))\n 376→\t\tcopy(queryElements, cond.In)\n 377→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 378→\t}\n 379→\treturn query\n 380→}\n 381→\n 382→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 383→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 384→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 385→\tif cond.Eq != nil {\n 386→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 387→\t}\n 388→\tif cond.Neq != nil {\n 389→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 390→\t}\n 391→\tif cond.StartsWith != nil {\n 392→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 393→\t}\n 394→\tif cond.EndsWith != nil {\n 395→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 396→\t}\n 397→\tif cond.Contains != nil {\n 398→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 399→\t}\n 400→\treturn query\n 401→}\n 402→\n 403→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 404→// Uses json_each to search within array elements.\n 405→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 406→\tquery = query.Where(\"JSON_VALID(resources)\")\n 407→\tif cond.Eq != nil {\n 408→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 409→\t}\n 410→\tif cond.Neq != nil { // Currently Unused\n 411→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 412→\t}\n 413→\tif cond.StartsWith != nil { // Currently Unused\n 414→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 415→\t}\n 416→\tif cond.EndsWith != nil { // Currently Unused\n 417→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 418→\t}\n 419→\tif cond.Contains != nil {\n 420→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 421→\t}\n 422→\treturn query\n 423→}\n 424→\n 425→var (\n 426→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 427→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 428→)\n 429→\n 430→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 431→// Includes security checks to prevent SQL injection attempts.\n 432→// Panics if potentially dangerous characters are detected.\n 433→func toSnakeCase(str string) string {\n 434→\tfor _, c := range str {\n 435→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 436→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 441→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 442→\treturn strings.ToLower(snake)\n 443→}\n 444→"}]},"uuid":"05d5a5ee-cecf-4697-839a-b3bf8970dacf","timestamp":"2026-03-13T13:24:04.185Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {\n\t\t\tstates := make([]string, len(filter.State))\n\t\t\tfor i, val := range filter.State {\n\t\t\t\tstates[i] = string(val)\n\t\t\t}\n\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t\t}\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","numLines":444,"startLine":1,"totalLines":444}},"sourceToolAssistantUUID":"5810ecbf-ac9a-44ac-86a2-74647d424b28","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}\n 229→\n 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tcol := groupBy2column[*groupBy]\n 242→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 243→\n 244→\tquery, err := SecurityCheck(ctx, query)\n 245→\tif err != nil {\n 246→\t\treturn nil, err\n 247→\t}\n 248→\n 249→\tif sortBy != nil {\n 250→\t\tsortBy := sortBy2column[*sortBy]\n 251→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 252→\t}\n 253→\tif page != nil && page.ItemsPerPage != -1 {\n 254→\t\tlimit := uint64(page.ItemsPerPage)\n 255→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 256→\t}\n 257→\n 258→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 259→\tif err != nil {\n 260→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 261→\t\treturn nil, err\n 262→\t}\n 263→\tdefer rows.Close()\n 264→\n 265→\tstats := make([]*model.JobsStatistics, 0, 100)\n 266→\n 267→\tfor rows.Next() {\n 268→\t\tvar id sql.NullString\n 269→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 270→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 271→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 272→\t\t\treturn nil, err\n 273→\t\t}\n 274→\n 275→\t\tif id.Valid {\n 276→\t\t\tstats = append(stats,\n 277→\t\t\t\t&model.JobsStatistics{\n 278→\t\t\t\t\tID: id.String,\n 279→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 280→\t\t\t\t\tTotalUsers: int(users.Int64),\n 281→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 282→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 283→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 284→\t\t\t\t\tTotalCores: int(cores.Int64),\n 285→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 286→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 287→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 288→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 289→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 290→\t\t\t\t})\n 291→\t\t}\n 292→\t}\n 293→\n 294→\tif err := rows.Err(); err != nil {\n 295→\t\treturn nil, err\n 296→\t}\n 297→\n 298→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 299→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 300→\t\tusernames := make([]any, len(stats))\n 301→\t\tfor i, s := range stats {\n 302→\t\t\tusernames[i] = s.ID\n 303→\t\t}\n 304→\n 305→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 306→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 307→\t\tif err != nil {\n 308→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 309→\t\t\t// Non-fatal: stats are still valid without display names\n 310→\t\t} else {\n 311→\t\t\tdefer nameRows.Close()\n 312→\t\t\tnameMap := make(map[string]string, len(stats))\n 313→\t\t\tfor nameRows.Next() {\n 314→\t\t\t\tvar username, name string\n 315→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 316→\t\t\t\t\tnameMap[username] = name\n 317→\t\t\t\t}\n 318→\t\t\t}\n 319→\t\t\tfor _, s := range stats {\n 320→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 321→\t\t\t\t\ts.Name = name\n 322→\t\t\t\t}\n 323→\t\t\t}\n 324→\t\t}\n 325→\t}\n 326→\n 327→\treturn stats, nil\n 328→}\n 329→\n 330→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 331→//\n 332→// This method provides a single aggregate view of job metrics, useful for dashboard\n 333→// summaries and overall system utilization reports.\n 334→//\n 335→// Parameters:\n 336→// - ctx: Context for security checks and cancellation\n 337→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 338→//\n 339→// Returns a single-element slice containing aggregate statistics:\n 340→// - totalJobs, totalUsers, totalWalltime\n 341→// - totalNodeHours, totalCoreHours, totalAccHours\n 342→//\n 343→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 344→// Security checks are applied via SecurityCheck to respect user access levels.\n 345→func (r *JobRepository) JobsStats(\n 346→\tctx context.Context,\n 347→\tfilter []*model.JobFilter,\n 348→\treqFields map[string]bool,\n 349→) ([]*model.JobsStatistics, error) {\n 350→\tstart := time.Now()\n 351→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 352→\tquery, err := SecurityCheck(ctx, query)\n 353→\tif err != nil {\n 354→\t\treturn nil, err\n 355→\t}\n 356→\n 357→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 358→\tstats := make([]*model.JobsStatistics, 0, 1)\n 359→\n 360→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 361→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 362→\t\tcclog.Warn(\"Error while scanning rows\")\n 363→\t\treturn nil, err\n 364→\t}\n 365→\n 366→\tif jobs.Valid {\n 367→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 368→\n 369→\t\tif nodeHours.Valid {\n 370→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 371→\t\t}\n 372→\t\tif coreHours.Valid {\n 373→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 374→\t\t}\n 375→\t\tif accHours.Valid {\n 376→\t\t\ttotalAccHours = int(accHours.Int64)\n 377→\t\t}\n 378→\t\tstats = append(stats,\n 379→\t\t\t&model.JobsStatistics{\n 380→\t\t\t\tTotalJobs: int(jobs.Int64),\n 381→\t\t\t\tTotalUsers: int(users.Int64),\n 382→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 383→\t\t\t\tTotalNodeHours: totalNodeHours,\n 384→\t\t\t\tTotalCoreHours: totalCoreHours,\n 385→\t\t\t\tTotalAccHours: totalAccHours,\n 386→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 387→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 388→\t\t\t})\n 389→\t}\n 390→\n 391→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 392→\treturn stats, nil\n 393→}\n 394→\n 395→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 396→// Returns 0.0 if the metric is not found or statType is invalid.\n 397→//\n 398→// Parameters:\n 399→// - job: Job struct with populated Statistics field\n 400→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 401→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 402→//\n 403→// Returns the requested statistic value or 0.0 if not found.\n 404→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 405→\tif stats, ok := job.Statistics[metric]; ok {\n 406→\t\tswitch statType {\n 407→\t\tcase \"avg\":\n 408→\t\t\treturn stats.Avg\n 409→\t\tcase \"max\":\n 410→\t\t\treturn stats.Max\n 411→\t\tcase \"min\":\n 412→\t\t\treturn stats.Min\n 413→\t\tdefault:\n 414→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 415→\t\t}\n 416→\t}\n 417→\n 418→\treturn 0.0\n 419→}\n 420→\n 421→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 422→//\n 423→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 424→// avoiding the overhead of calculating walltime and resource usage metrics.\n 425→//\n 426→// Parameters:\n 427→// - ctx: Context for security checks\n 428→// - filter: Filters to apply\n 429→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 430→//\n 431→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 432→func (r *JobRepository) JobCountGrouped(\n 433→\tctx context.Context,\n 434→\tfilter []*model.JobFilter,\n 435→\tgroupBy *model.Aggregate,\n 436→) ([]*model.JobsStatistics, error) {\n 437→\tstart := time.Now()\n 438→\tcol := groupBy2column[*groupBy]\n 439→\tquery := r.buildCountQuery(filter, \"\", col)\n 440→\tquery, err := SecurityCheck(ctx, query)\n 441→\tif err != nil {\n 442→\t\treturn nil, err\n 443→\t}\n 444→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 445→\tif err != nil {\n 446→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 447→\t\treturn nil, err\n 448→\t}\n 449→\tdefer rows.Close()\n 450→\n 451→\tstats := make([]*model.JobsStatistics, 0, 100)\n 452→\n 453→\tfor rows.Next() {\n 454→\t\tvar id sql.NullString\n 455→\t\tvar cnt sql.NullInt64\n 456→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 457→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 458→\t\t\treturn nil, err\n 459→\t\t}\n 460→\t\tif id.Valid {\n 461→\t\t\tstats = append(stats,\n 462→\t\t\t\t&model.JobsStatistics{\n 463→\t\t\t\t\tID: id.String,\n 464→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 465→\t\t\t\t})\n 466→\t\t}\n 467→\t}\n 468→\n 469→\tif err := rows.Err(); err != nil {\n 470→\t\treturn nil, err\n 471→\t}\n 472→\n 473→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 474→\treturn stats, nil\n 475→}\n 476→\n 477→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 478→//\n 479→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 480→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 481→//\n 482→// Parameters:\n 483→// - ctx: Context for security checks\n 484→// - filter: Filters to apply\n 485→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 486→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 487→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 488→//\n 489→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 490→// Groups without matching jobs will have 0 for the added field.\n 491→func (r *JobRepository) AddJobCountGrouped(\n 492→\tctx context.Context,\n 493→\tfilter []*model.JobFilter,\n 494→\tgroupBy *model.Aggregate,\n 495→\tstats []*model.JobsStatistics,\n 496→\tkind string,\n 497→) ([]*model.JobsStatistics, error) {\n 498→\tstart := time.Now()\n 499→\tcol := groupBy2column[*groupBy]\n 500→\tquery := r.buildCountQuery(filter, kind, col)\n 501→\tquery, err := SecurityCheck(ctx, query)\n 502→\tif err != nil {\n 503→\t\treturn nil, err\n 504→\t}\n 505→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 506→\tif err != nil {\n 507→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 508→\t\treturn nil, err\n 509→\t}\n 510→\tdefer rows.Close()\n 511→\n 512→\tcounts := make(map[string]int)\n 513→\n 514→\tfor rows.Next() {\n 515→\t\tvar id sql.NullString\n 516→\t\tvar cnt sql.NullInt64\n 517→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 518→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 519→\t\t\treturn nil, err\n 520→\t\t}\n 521→\t\tif id.Valid {\n 522→\t\t\tcounts[id.String] = int(cnt.Int64)\n 523→\t\t}\n 524→\t}\n 525→\n 526→\tif err := rows.Err(); err != nil {\n 527→\t\treturn nil, err\n 528→\t}\n 529→\n 530→\tswitch kind {\n 531→\tcase \"running\":\n 532→\t\tfor _, s := range stats {\n 533→\t\t\ts.RunningJobs = counts[s.ID]\n 534→\t\t}\n 535→\tcase \"short\":\n 536→\t\tfor _, s := range stats {\n 537→\t\t\ts.ShortJobs = counts[s.ID]\n 538→\t\t}\n 539→\t}\n 540→\n 541→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 542→\treturn stats, nil\n 543→}\n 544→\n 545→// AddJobCount augments existing overall statistics with additional job counts by category.\n 546→//\n 547→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 548→// to all statistics entries (typically just one).\n 549→//\n 550→// Parameters:\n 551→// - ctx: Context for security checks\n 552→// - filter: Filters to apply\n 553→// - stats: Existing statistics to augment (modified in-place)\n 554→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 555→//\n 556→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 557→func (r *JobRepository) AddJobCount(\n 558→\tctx context.Context,\n 559→\tfilter []*model.JobFilter,\n 560→\tstats []*model.JobsStatistics,\n 561→\tkind string,\n 562→) ([]*model.JobsStatistics, error) {\n 563→\tstart := time.Now()\n 564→\tquery := r.buildCountQuery(filter, kind, \"\")\n 565→\tquery, err := SecurityCheck(ctx, query)\n 566→\tif err != nil {\n 567→\t\treturn nil, err\n 568→\t}\n 569→\tvar cnt sql.NullInt64\n 570→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 571→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 572→\t\treturn nil, err\n 573→\t}\n 574→\n 575→\tcount := int(cnt.Int64)\n 576→\n 577→\tswitch kind {\n 578→\tcase \"running\":\n 579→\t\tfor _, s := range stats {\n 580→\t\t\ts.RunningJobs = count\n 581→\t\t}\n 582→\tcase \"short\":\n 583→\t\tfor _, s := range stats {\n 584→\t\t\ts.ShortJobs = count\n 585→\t\t}\n 586→\t}\n 587→\n 588→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 589→\treturn stats, nil\n 590→}\n 591→\n 592→// AddHistograms augments statistics with distribution histograms for job properties.\n 593→//\n 594→// Generates histogram data for visualization of job duration, node count, core count,\n 595→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 596→// on the requested resolution.\n 597→//\n 598→// Parameters:\n 599→// - ctx: Context for security checks\n 600→// - filter: Filters to apply to jobs included in histograms\n 601→// - stat: Statistics struct to augment (modified in-place)\n 602→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 603→//\n 604→// Populates these fields in stat:\n 605→// - HistDuration: Job duration distribution (zero-padded bins)\n 606→// - HistNumNodes: Node count distribution\n 607→// - HistNumCores: Core (hwthread) count distribution\n 608→// - HistNumAccs: Accelerator count distribution\n 609→//\n 610→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 611→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 612→func (r *JobRepository) AddHistograms(\n 613→\tctx context.Context,\n 614→\tfilter []*model.JobFilter,\n 615→\tstat *model.JobsStatistics,\n 616→\tdurationBins *string,\n 617→) (*model.JobsStatistics, error) {\n 618→\tstart := time.Now()\n 619→\n 620→\tvar targetBinCount int\n 621→\tvar targetBinSize int\n 622→\tswitch *durationBins {\n 623→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 624→\t\ttargetBinCount = 60\n 625→\t\ttargetBinSize = 60\n 626→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 627→\t\ttargetBinCount = 72\n 628→\t\ttargetBinSize = 600\n 629→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 630→\t\ttargetBinCount = 48\n 631→\t\ttargetBinSize = 3600\n 632→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 633→\t\ttargetBinCount = 12\n 634→\t\ttargetBinSize = 21600\n 635→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 636→\t\ttargetBinCount = 14\n 637→\t\ttargetBinSize = 43200\n 638→\tdefault: // 24h\n 639→\t\ttargetBinCount = 24\n 640→\t\ttargetBinSize = 3600\n 641→\t}\n 642→\n 643→\tvar err error\n 644→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 645→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 646→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 647→\tif err != nil {\n 648→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 649→\t\treturn nil, err\n 650→\t}\n 651→\n 652→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 653→\tif err != nil {\n 654→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 655→\t\treturn nil, err\n 656→\t}\n 657→\n 658→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 659→\tif err != nil {\n 660→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 661→\t\treturn nil, err\n 662→\t}\n 663→\n 664→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 665→\tif err != nil {\n 666→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 667→\t\treturn nil, err\n 668→\t}\n 669→\n 670→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 671→\treturn stat, nil\n 672→}\n 673→\n 674→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 675→//\n 676→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 677→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 678→// use footprint data from database.\n 679→//\n 680→// Parameters:\n 681→// - ctx: Context for security checks\n 682→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 683→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 684→// - stat: Statistics struct to augment (modified in-place)\n 685→// - targetBinCount: Number of histogram bins (default: 10)\n 686→//\n 687→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 688→//\n 689→// Binning algorithm:\n 690→// - Values normalized to metric's peak value from cluster configuration\n 691→// - Bins evenly distributed from 0 to peak\n 692→// - Pre-initialized with zeros for consistent visualization\n 693→//\n 694→// Limitations:\n 695→// - Running jobs: Limited to 5000 jobs for performance\n 696→// - Requires valid cluster configuration with metric peak values\n 697→// - Uses footprint statistic (avg/max/min) configured per metric\n 698→func (r *JobRepository) AddMetricHistograms(\n 699→\tctx context.Context,\n 700→\tfilter []*model.JobFilter,\n 701→\tmetrics []string,\n 702→\tstat *model.JobsStatistics,\n 703→\ttargetBinCount *int,\n 704→) (*model.JobsStatistics, error) {\n 705→\tstart := time.Now()\n 706→\n 707→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 708→\tfor _, f := range filter {\n 709→\t\tif f.State != nil {\n 710→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 711→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 712→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 713→\t\t\t\treturn stat, nil\n 714→\t\t\t}\n 715→\t\t}\n 716→\t}\n 717→\n 718→\t// All other cases: Query and make bins in sqlite directly\n 719→\tfor _, m := range metrics {\n 720→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 721→\t\tif err != nil {\n 722→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 723→\t\t\tcontinue\n 724→\t\t}\n 725→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 726→\t}\n 727→\n 728→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\treturn stat, nil\n 730→}\n 731→\n 732→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 733→//\n 734→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 735→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 736→//\n 737→// Parameters:\n 738→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 739→// - filters: Job filters to apply\n 740→//\n 741→// Returns histogram points with Value (from column) and Count (number of jobs).\n 742→func (r *JobRepository) jobsStatisticsHistogram(\n 743→\tctx context.Context,\n 744→\tvalue string,\n 745→\tfilters []*model.JobFilter,\n 746→) ([]*model.HistoPoint, error) {\n 747→\tstart := time.Now()\n 748→\tquery, qerr := SecurityCheck(ctx,\n 749→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 750→\n 751→\tif qerr != nil {\n 752→\t\treturn nil, qerr\n 753→\t}\n 754→\n 755→\tfor _, f := range filters {\n 756→\t\tquery = BuildWhereClause(f, query)\n 757→\t}\n 758→\n 759→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 760→\tif err != nil {\n 761→\t\tcclog.Error(\"Error while running query\")\n 762→\t\treturn nil, err\n 763→\t}\n 764→\tdefer rows.Close()\n 765→\n 766→\tpoints := make([]*model.HistoPoint, 0)\n 767→\t// is it possible to introduce zero values here? requires info about bincount\n 768→\tfor rows.Next() {\n 769→\t\tpoint := model.HistoPoint{}\n 770→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 771→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 772→\t\t\treturn nil, err\n 773→\t\t}\n 774→\n 775→\t\tpoints = append(points, &point)\n 776→\t}\n 777→\n 778→\tif err := rows.Err(); err != nil {\n 779→\t\treturn nil, err\n 780→\t}\n 781→\n 782→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 783→\treturn points, nil\n 784→}\n 785→\n 786→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 787→//\n 788→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 789→// histograms which only return bins with data. The value parameter should compute\n 790→// the bin number from job duration.\n 791→//\n 792→// Parameters:\n 793→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 794→// - filters: Job filters to apply\n 795→// - binSizeSeconds: Width of each bin in seconds\n 796→// - targetBinCount: Number of bins to pre-initialize\n 797→//\n 798→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 799→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 800→//\n 801→// Algorithm:\n 802→// 1. Pre-initialize targetBinCount bins with zero counts\n 803→// 2. Query database for actual counts per bin\n 804→// 3. Match query results to pre-initialized bins by value\n 805→// 4. Bins without matches remain at zero\n 806→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 807→\tctx context.Context,\n 808→\tvalue string,\n 809→\tfilters []*model.JobFilter,\n 810→\tbinSizeSeconds int,\n 811→\ttargetBinCount *int,\n 812→) ([]*model.HistoPoint, error) {\n 813→\tstart := time.Now()\n 814→\tquery, qerr := SecurityCheck(ctx,\n 815→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 816→\n 817→\tif qerr != nil {\n 818→\t\treturn nil, qerr\n 819→\t}\n 820→\n 821→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 822→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 823→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 824→\tfor i := 1; i <= *targetBinCount; i++ {\n 825→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 826→\t\tpoints = append(points, &point)\n 827→\t}\n 828→\n 829→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 830→\tbinMap := make(map[int]int, len(points))\n 831→\tfor i, p := range points {\n 832→\t\tbinMap[p.Value] = i\n 833→\t}\n 834→\n 835→\tfor _, f := range filters {\n 836→\t\tquery = BuildWhereClause(f, query)\n 837→\t}\n 838→\n 839→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 840→\tif err != nil {\n 841→\t\tcclog.Error(\"Error while running query\")\n 842→\t\treturn nil, err\n 843→\t}\n 844→\tdefer rows.Close()\n 845→\n 846→\t// Match query results to pre-initialized bins using map lookup.\n 847→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 848→\tfor rows.Next() {\n 849→\t\tpoint := model.HistoPoint{}\n 850→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 851→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 852→\t\t\treturn nil, err\n 853→\t\t}\n 854→\n 855→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 856→\t\t\tpoints[idx].Count = point.Count\n 857→\t\t}\n 858→\t}\n 859→\n 860→\tif err := rows.Err(); err != nil {\n 861→\t\treturn nil, err\n 862→\t}\n 863→\n 864→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 865→\treturn points, nil\n 866→}\n 867→\n 868→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 869→//\n 870→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 871→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 872→// and computing bin assignments in SQL.\n 873→//\n 874→// Parameters:\n 875→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 876→// - filters: Job filters to apply\n 877→// - bins: Number of bins to generate\n 878→//\n 879→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 880→//\n 881→// Algorithm:\n 882→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 883→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 884→// 3. Pre-initialize bins with min/max ranges based on peak value\n 885→// 4. Query database for counts per bin\n 886→// 5. Match results to pre-initialized bins\n 887→//\n 888→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 889→// peak by 0.999999999 to avoid creating an extra bin.\n 890→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 891→\tctx context.Context,\n 892→\tmetric string,\n 893→\tfilters []*model.JobFilter,\n 894→\tbins *int,\n 895→) (*model.MetricHistoPoints, error) {\n 896→\t// Peak value defines the upper bound for binning: values are distributed across\n 897→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 898→\t// scan all clusters to find the maximum peak value.\n 899→\tvar metricConfig *schema.MetricConfig\n 900→\tvar peak float64\n 901→\tvar unit string\n 902→\tvar footprintStat string\n 903→\n 904→\t// Try to get metric config from filtered cluster\n 905→\tfor _, f := range filters {\n 906→\t\tif f.Cluster != nil {\n 907→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 908→\t\t\tpeak = metricConfig.Peak\n 909→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 910→\t\t\tfootprintStat = metricConfig.Footprint\n 911→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 912→\t\t}\n 913→\t}\n 914→\n 915→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 916→\t// This ensures histogram can accommodate all possible values\n 917→\tif peak == 0.0 {\n 918→\t\tfor _, c := range archive.Clusters {\n 919→\t\t\tfor _, m := range c.MetricConfig {\n 920→\t\t\t\tif m.Name == metric {\n 921→\t\t\t\t\tif m.Peak > peak {\n 922→\t\t\t\t\t\tpeak = m.Peak\n 923→\t\t\t\t\t}\n 924→\t\t\t\t\tif unit == \"\" {\n 925→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 926→\t\t\t\t\t}\n 927→\t\t\t\t\tif footprintStat == \"\" {\n 928→\t\t\t\t\t\tfootprintStat = m.Footprint\n 929→\t\t\t\t\t}\n 930→\t\t\t\t}\n 931→\t\t\t}\n 932→\t\t}\n 933→\t}\n 934→\n 935→\t// Construct SQL histogram bins using normalized values.\n 936→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 937→\tstart := time.Now()\n 938→\n 939→\t// Bin calculation formula:\n 940→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 941→\t// Special case: value == peak would create bin N+1, so we test for equality\n 942→\t// and multiply peak by 0.999999999 to force it into bin N.\n 943→\tbinQuery := fmt.Sprintf(`CAST(\n 944→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 945→\t\t* %v as INTEGER )`,\n 946→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 947→\n 948→\tmainQuery := sq.Select(\n 949→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 950→\t\t`count(*) as count`,\n 951→\t).From(\"job\").Where(\n 952→\t\t\"JSON_VALID(footprint)\",\n 953→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 954→\n 955→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 956→\tif qerr != nil {\n 957→\t\treturn nil, qerr\n 958→\t}\n 959→\n 960→\tfor _, f := range filters {\n 961→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 962→\t}\n 963→\n 964→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 965→\n 966→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 967→\tif err != nil {\n 968→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 969→\t\treturn nil, err\n 970→\t}\n 971→\tdefer rows.Close()\n 972→\n 973→\t// Pre-initialize bins with calculated min/max ranges.\n 974→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 975→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 976→\tbinStep := int(peak) / *bins\n 977→\tfor i := 1; i <= *bins; i++ {\n 978→\t\tbinMin := (binStep * (i - 1))\n 979→\t\tbinMax := (binStep * i)\n 980→\t\tidx := i\n 981→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 982→\t\tpoints = append(points, &epoint)\n 983→\t}\n 984→\n 985→\t// Build a map from bin number to slice index for O(1) lookup.\n 986→\tbinMap := make(map[int]int, len(points))\n 987→\tfor i, p := range points {\n 988→\t\tif p.Bin != nil {\n 989→\t\t\tbinMap[*p.Bin] = i\n 990→\t\t}\n 991→\t}\n 992→\n 993→\t// Match query results to pre-initialized bins using map lookup.\n 994→\tfor rows.Next() {\n 995→\t\trpoint := model.MetricHistoPoint{}\n 996→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 997→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 998→\t\t\treturn nil, err\n 999→\t\t}\n 1000→\n 1001→\t\tif rpoint.Bin != nil {\n 1002→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1003→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1004→\t\t\t}\n 1005→\t\t}\n 1006→\t}\n 1007→\n 1008→\tif err := rows.Err(); err != nil {\n 1009→\t\treturn nil, err\n 1010→\t}\n 1011→\n 1012→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1013→\n 1014→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1015→\treturn &result, nil\n 1016→}\n 1017→\n 1018→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1019→//\n 1020→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1021→// fetching current metric averages from the metric backend (via metricdispatch).\n 1022→//\n 1023→// Parameters:\n 1024→// - metrics: List of metric names\n 1025→// - filters: Job filters (should filter to running jobs only)\n 1026→// - bins: Number of histogram bins\n 1027→//\n 1028→// Returns slice of MetricHistoPoints, one per metric.\n 1029→//\n 1030→// Limitations:\n 1031→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1032→// - Requires metric backend availability\n 1033→// - Bins based on metric peak values from cluster configuration\n 1034→//\n 1035→// Algorithm:\n 1036→// 1. Query first 5001 jobs to check count limit\n 1037→// 2. Load metric averages for all jobs via metricdispatch\n 1038→// 3. For each metric, create bins based on peak value\n 1039→// 4. Iterate averages and count jobs per bin\n 1040→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1041→\tctx context.Context,\n 1042→\tmetrics []string,\n 1043→\tfilters []*model.JobFilter,\n 1044→\tbins *int,\n 1045→) []*model.MetricHistoPoints {\n 1046→\t// Get Jobs\n 1047→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1048→\tif err != nil {\n 1049→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1050→\t\treturn nil\n 1051→\t}\n 1052→\tif len(jobs) > 5000 {\n 1053→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1054→\t\treturn nil\n 1055→\t}\n 1056→\n 1057→\t// Get AVGs from metric repo\n 1058→\tavgs := make([][]schema.Float, len(metrics))\n 1059→\tfor i := range avgs {\n 1060→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1061→\t}\n 1062→\n 1063→\tfor _, job := range jobs {\n 1064→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1065→\t\t\tcontinue\n 1066→\t\t}\n 1067→\n 1068→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1069→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1070→\t\t\treturn nil\n 1071→\t\t}\n 1072→\t}\n 1073→\n 1074→\t// Iterate metrics to fill endresult\n 1075→\tdata := make([]*model.MetricHistoPoints, 0)\n 1076→\tfor idx, metric := range metrics {\n 1077→\t\t// Get specific Peak or largest Peak\n 1078→\t\tvar metricConfig *schema.MetricConfig\n 1079→\t\tvar peak float64\n 1080→\t\tvar unit string\n 1081→\n 1082→\t\tfor _, f := range filters {\n 1083→\t\t\tif f.Cluster != nil {\n 1084→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1085→\t\t\t\tpeak = metricConfig.Peak\n 1086→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1087→\t\t\t}\n 1088→\t\t}\n 1089→\n 1090→\t\tif peak == 0.0 {\n 1091→\t\t\tfor _, c := range archive.Clusters {\n 1092→\t\t\t\tfor _, m := range c.MetricConfig {\n 1093→\t\t\t\t\tif m.Name == metric {\n 1094→\t\t\t\t\t\tif m.Peak > peak {\n 1095→\t\t\t\t\t\t\tpeak = m.Peak\n 1096→\t\t\t\t\t\t}\n 1097→\t\t\t\t\t\tif unit == \"\" {\n 1098→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1099→\t\t\t\t\t\t}\n 1100→\t\t\t\t\t}\n 1101→\t\t\t\t}\n 1102→\t\t\t}\n 1103→\t\t}\n 1104→\n 1105→\t\t// Make and fill bins\n 1106→\t\tpeakBin := int(peak) / *bins\n 1107→\n 1108→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1109→\t\tfor b := 0; b < *bins; b++ {\n 1110→\t\t\tcount := 0\n 1111→\t\t\tbindex := b + 1\n 1112→\t\t\tbmin := peakBin * b\n 1113→\t\t\tbmax := peakBin * (b + 1)\n 1114→\n 1115→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1116→\t\t\tfor _, val := range avgs[idx] {\n 1117→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1118→\t\t\t\t\tcount += 1\n 1119→\t\t\t\t}\n 1120→\t\t\t}\n 1121→\n 1122→\t\t\t// Append Bin to Metric Result Array\n 1123→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1124→\t\t\tpoints = append(points, &point)\n 1125→\t\t}\n 1126→\n 1127→\t\t// Append Metric Result Array to final results array\n 1128→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1129→\t\tdata = append(data, &result)\n 1130→\t}\n 1131→\n 1132→\treturn data\n 1133→}\n 1134→"}]},"uuid":"8e648dca-247d-4294-b32e-57b625e2752a","timestamp":"2026-03-13T13:24:04.576Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn 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generating and any unknown code will be moved to the end.\n 6→// Code generated by github.com/99designs/gqlgen version v0.17.87\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"math\"\n 13→\t\"regexp\"\n 14→\t\"slices\"\n 15→\t\"strconv\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→)\n 29→\n 30→// Partitions is the resolver for the partitions field.\n 31→func (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n 32→\treturn r.Repo.Partitions(obj.Name)\n 33→}\n 34→\n 35→// StartTime is the resolver for the startTime field.\n 36→func (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n 37→\ttimestamp := time.Unix(obj.StartTime, 0)\n 38→\treturn ×tamp, nil\n 39→}\n 40→\n 41→// Tags is the resolver for the tags field.\n 42→func (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n 43→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n 44→}\n 45→\n 46→// ConcurrentJobs is the resolver for the concurrentJobs field.\n 47→func (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n 48→\t// FIXME: Make the hardcoded duration configurable\n 49→\tif obj.Shared != \"none\" && obj.Duration > 600 {\n 50→\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n 51→\t}\n 52→\n 53→\treturn nil, nil\n 54→}\n 55→\n 56→// Footprint is the resolver for the footprint field.\n 57→func (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n 58→\trawFootprint, err := r.Repo.FetchFootprint(obj)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while fetching job footprint data\")\n 61→\t\treturn nil, err\n 62→\t}\n 63→\n 64→\tres := []*model.FootprintValue{}\n 65→\tfor name, value := range rawFootprint {\n 66→\n 67→\t\tparts := strings.Split(name, \"_\")\n 68→\t\tstatPart := parts[len(parts)-1]\n 69→\t\tnameParts := parts[:len(parts)-1]\n 70→\n 71→\t\tres = append(res, &model.FootprintValue{\n 72→\t\t\tName: strings.Join(nameParts, \"_\"),\n 73→\t\t\tStat: statPart,\n 74→\t\t\tValue: value,\n 75→\t\t})\n 76→\t}\n 77→\n 78→\treturn res, err\n 79→}\n 80→\n 81→// EnergyFootprint is the resolver for the energyFootprint field.\n 82→func (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n 83→\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n 84→\tif err != nil {\n 85→\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n 86→\t\treturn nil, err\n 87→\t}\n 88→\n 89→\tres := []*model.EnergyFootprintValue{}\n 90→\tfor name, value := range rawEnergyFootprint {\n 91→\t\t// Suboptimal: Nearly hardcoded metric name expectations\n 92→\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n 93→\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n 94→\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n 95→\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n 96→\n 97→\t\thwType := \"\"\n 98→\t\tswitch test := name; { // NOtice ';' for var declaration\n 99→\t\tcase matchCPU.MatchString(test):\n 100→\t\t\thwType = \"CPU\"\n 101→\t\tcase matchAcc.MatchString(test):\n 102→\t\t\thwType = \"Accelerator\"\n 103→\t\tcase matchMem.MatchString(test):\n 104→\t\t\thwType = \"Memory\"\n 105→\t\tcase matchCore.MatchString(test):\n 106→\t\t\thwType = \"Core\"\n 107→\t\tdefault:\n 108→\t\t\thwType = \"Other\"\n 109→\t\t}\n 110→\n 111→\t\tres = append(res, &model.EnergyFootprintValue{\n 112→\t\t\tHardware: hwType,\n 113→\t\t\tMetric: name,\n 114→\t\t\tValue: value,\n 115→\t\t})\n 116→\t}\n 117→\treturn res, err\n 118→}\n 119→\n 120→// MetaData is the resolver for the metaData field.\n 121→func (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n 122→\treturn r.Repo.FetchMetadata(obj)\n 123→}\n 124→\n 125→// UserData is the resolver for the userData field.\n 126→func (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n 127→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n 128→}\n 129→\n 130→// Name is the resolver for the name field.\n 131→func (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n 132→\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n 133→}\n 134→\n 135→// CreateTag is the resolver for the createTag field.\n 136→func (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n 137→\tuser := repository.GetUserFromContext(ctx)\n 138→\tif user == nil {\n 139→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 140→\t}\n 141→\n 142→\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 143→\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n 144→\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n 145→\t\tuser.Username == scope {\n 146→\t\t// Create in DB\n 147→\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n 148→\t\tif err != nil {\n 149→\t\t\tcclog.Warn(\"Error while creating tag\")\n 150→\t\t\treturn nil, err\n 151→\t\t}\n 152→\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n 153→\t} else {\n 154→\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n 155→\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n 156→\t}\n 157→}\n 158→\n 159→// DeleteTag is the resolver for the deleteTag field.\n 160→func (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n 161→\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n 162→\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n 163→}\n 164→\n 165→// AddTagsToJob is the resolver for the addTagsToJob field.\n 166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 167→\tuser := repository.GetUserFromContext(ctx)\n 168→\tif user == nil {\n 169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 170→\t}\n 171→\n 172→\tjid, err := strconv.ParseInt(job, 10, 64)\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"Error while adding tag to job\")\n 175→\t\treturn nil, err\n 176→\t}\n 177→\n 178→\ttags := []*schema.Tag{}\n 179→\tfor _, tagID := range tagIds {\n 180→\t\t// Get ID\n 181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 182→\t\tif err != nil {\n 183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 184→\t\t\treturn nil, err\n 185→\t\t}\n 186→\n 187→\t\t// Test Exists\n 188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 189→\t\tif !exists {\n 190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 192→\t\t}\n 193→\n 194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 197→\t\t\tuser.Username == tscope {\n 198→\t\t\t// Add to Job\n 199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n 200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n 201→\t\t\t\treturn nil, err\n 202→\t\t\t}\n 203→\t\t} else {\n 204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n 205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n 206→\t\t}\n 207→\t}\n 208→\n 209→\treturn tags, nil\n 210→}\n 211→\n 212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n 213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 214→\tuser := repository.GetUserFromContext(ctx)\n 215→\tif user == nil {\n 216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 217→\t}\n 218→\n 219→\tjid, err := strconv.ParseInt(job, 10, 64)\n 220→\tif err != nil {\n 221→\t\tcclog.Warn(\"Error while parsing job id\")\n 222→\t\treturn nil, err\n 223→\t}\n 224→\n 225→\ttags := []*schema.Tag{}\n 226→\tfor _, tagID := range tagIds {\n 227→\t\t// Get ID\n 228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 229→\t\tif err != nil {\n 230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 231→\t\t\treturn nil, err\n 232→\t\t}\n 233→\n 234→\t\t// Test Exists\n 235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 236→\t\tif !exists {\n 237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 239→\t\t}\n 240→\n 241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 244→\t\t\tuser.Username == tscope {\n 245→\t\t\t// Remove from Job\n 246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n 247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 248→\t\t\t\treturn nil, err\n 249→\t\t\t}\n 250→\t\t} else {\n 251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 253→\t\t}\n 254→\n 255→\t}\n 256→\n 257→\treturn tags, nil\n 258→}\n 259→\n 260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n 261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n 262→\t// Needs Contextuser\n 263→\tuser := repository.GetUserFromContext(ctx)\n 264→\tif user == nil {\n 265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 266→\t}\n 267→\n 268→\ttags := []int{}\n 269→\tfor _, tagID := range tagIds {\n 270→\t\t// Get ID\n 271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 272→\t\tif err != nil {\n 273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n 274→\t\t\treturn nil, err\n 275→\t\t}\n 276→\n 277→\t\t// Test Exists\n 278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 279→\t\tif !exists {\n 280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 282→\t\t}\n 283→\n 284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n 285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n 286→\t\t\t// Remove from DB\n 287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n 288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 289→\t\t\t\treturn nil, err\n 290→\t\t\t} else {\n 291→\t\t\t\ttags = append(tags, int(tid))\n 292→\t\t\t}\n 293→\t\t} else {\n 294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 296→\t\t}\n 297→\t}\n 298→\treturn tags, nil\n 299→}\n 300→\n 301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n 302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n 303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n 304→\t\tcclog.Warn(\"Error while updating user config\")\n 305→\t\treturn nil, err\n 306→\t}\n 307→\n 308→\treturn nil, nil\n 309→}\n 310→\n 311→// ID is the resolver for the id field.\n 312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n 313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n 314→}\n 315→\n 316→// SchedulerState is the resolver for the schedulerState field.\n 317→func (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n 318→\tif obj.NodeState != \"\" {\n 319→\t\treturn obj.NodeState, nil\n 320→\t} else {\n 321→\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n 322→\t}\n 323→}\n 324→\n 325→// HealthState is the resolver for the healthState field.\n 326→func (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n 327→\tif obj.HealthState != \"\" {\n 328→\t\treturn string(obj.HealthState), nil\n 329→\t} else {\n 330→\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n 331→\t}\n 332→}\n 333→\n 334→// MetaData is the resolver for the metaData field.\n 335→func (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n 336→\tif obj.MetaData != nil {\n 337→\t\treturn obj.MetaData, nil\n 338→\t} else {\n 339→\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n 340→\t\temptyMeta := make(map[string]string, 0)\n 341→\t\treturn emptyMeta, nil\n 342→\t}\n 343→}\n 344→\n 345→// HealthData is the resolver for the healthData field.\n 346→func (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n 347→\tif obj.HealthData != nil {\n 348→\t\treturn obj.HealthData, nil\n 349→\t} else {\n 350→\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n 351→\t\temptyHealth := make(map[string][]string, 0)\n 352→\t\treturn emptyHealth, nil\n 353→\t}\n 354→}\n 355→\n 356→// Clusters is the resolver for the clusters field.\n 357→func (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n 358→\treturn archive.Clusters, nil\n 359→}\n 360→\n 361→// Tags is the resolver for the tags field.\n 362→func (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n 363→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n 364→}\n 365→\n 366→// GlobalMetrics is the resolver for the globalMetrics field.\n 367→func (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n 368→\tuser := repository.GetUserFromContext(ctx)\n 369→\n 370→\tif user != nil {\n 371→\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n 372→\t\t\treturn archive.GlobalUserMetricList, nil\n 373→\t\t}\n 374→\t}\n 375→\n 376→\treturn archive.GlobalMetricList, nil\n 377→}\n 378→\n 379→// User is the resolver for the user field.\n 380→func (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n 381→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n 382→}\n 383→\n 384→// AllocatedNodes is the resolver for the allocatedNodes field.\n 385→func (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n 386→\tdata, err := r.Repo.AllocatedNodes(cluster)\n 387→\tif err != nil {\n 388→\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n 389→\t\treturn nil, err\n 390→\t}\n 391→\n 392→\tcounts := make([]*model.Count, 0, len(data))\n 393→\tfor subcluster, hosts := range data {\n 394→\t\tcounts = append(counts, &model.Count{\n 395→\t\t\tName: subcluster,\n 396→\t\t\tCount: len(hosts),\n 397→\t\t})\n 398→\t}\n 399→\n 400→\treturn counts, nil\n 401→}\n 402→\n 403→// Node is the resolver for the node field.\n 404→func (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n 405→\trepo := repository.GetNodeRepository()\n 406→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n 407→\tif err != nil {\n 408→\t\tcclog.Warn(\"Error while parsing job id\")\n 409→\t\treturn nil, err\n 410→\t}\n 411→\treturn repo.GetNodeByID(numericID, false)\n 412→}\n 413→\n 414→// Nodes is the resolver for the nodes field.\n 415→func (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n 416→\trepo := repository.GetNodeRepository()\n 417→\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n 418→\tcount := len(nodes)\n 419→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n 420→}\n 421→\n 422→// NodesWithMeta is the resolver for the nodesWithMeta field.\n 423→func (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n 424→\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n 425→\trepo := repository.GetNodeRepository()\n 426→\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n 427→\tcount := len(nodes)\n 428→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n 429→}\n 430→\n 431→// NodeStates is the resolver for the nodeStates field.\n 432→func (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n 433→\trepo := repository.GetNodeRepository()\n 434→\n 435→\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n 436→\tif serr != nil {\n 437→\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n 438→\t\treturn nil, serr\n 439→\t}\n 440→\n 441→\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n 442→\tif herr != nil {\n 443→\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n 444→\t\treturn nil, herr\n 445→\t}\n 446→\n 447→\tallCounts := append(stateCounts, healthCounts...)\n 448→\n 449→\treturn allCounts, nil\n 450→}\n 451→\n 452→// NodeStatesTimed is the resolver for the nodeStatesTimed field.\n 453→func (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n 454→\trepo := repository.GetNodeRepository()\n 455→\n 456→\tif typeArg == \"node\" {\n 457→\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n 458→\t\tif serr != nil {\n 459→\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n 460→\t\t\treturn nil, serr\n 461→\t\t}\n 462→\t\treturn stateCounts, nil\n 463→\t}\n 464→\n 465→\tif typeArg == \"health\" {\n 466→\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n 467→\t\tif herr != nil {\n 468→\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n 469→\t\t\treturn nil, herr\n 470→\t\t}\n 471→\t\treturn healthCounts, nil\n 472→\t}\n 473→\n 474→\treturn nil, errors.New(\"unknown Node State Query Type\")\n 475→}\n 476→\n 477→// Job is the resolver for the job field.\n 478→func (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n 479→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n 480→\tif err != nil {\n 481→\t\tcclog.Warn(\"Error while parsing job id\")\n 482→\t\treturn nil, err\n 483→\t}\n 484→\n 485→\tjob, err := r.Repo.FindByID(ctx, numericID)\n 486→\tif err != nil {\n 487→\t\tcclog.Warn(\"Error while finding job by id\")\n 488→\t\treturn nil, err\n 489→\t}\n 490→\n 491→\tif user := repository.GetUserFromContext(ctx); user != nil &&\n 492→\t\tjob.User != user.Username &&\n 493→\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 494→\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n 495→\t}\n 496→\n 497→\treturn job, nil\n 498→}\n 499→\n 500→// JobMetrics is the resolver for the jobMetrics field.\n 501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n 502→\tif resolution == nil { // Load from Config\n 503→\t\tif config.Keys.EnableResampling != nil {\n 504→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 505→\t\t\tresolution = &defaultRes\n 506→\t\t} else { // Set 0 (Loads configured metric timestep)\n 507→\t\t\tdefaultRes := 0\n 508→\t\t\tresolution = &defaultRes\n 509→\t\t}\n 510→\t}\n 511→\n 512→\tjob, err := r.Query().Job(ctx, id)\n 513→\tif err != nil {\n 514→\t\tcclog.Warn(\"Error while querying job for metrics\")\n 515→\t\treturn nil, err\n 516→\t}\n 517→\n 518→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n 519→\tif err != nil {\n 520→\t\tcclog.Warn(\"Error while loading job data\")\n 521→\t\treturn nil, err\n 522→\t}\n 523→\n 524→\tres := []*model.JobMetricWithName{}\n 525→\tfor name, md := range data {\n 526→\t\tfor scope, metric := range md {\n 527→\t\t\tres = append(res, &model.JobMetricWithName{\n 528→\t\t\t\tName: name,\n 529→\t\t\t\tScope: scope,\n 530→\t\t\t\tMetric: metric,\n 531→\t\t\t})\n 532→\t\t}\n 533→\t}\n 534→\n 535→\treturn res, err\n 536→}\n 537→\n 538→// JobStats is the resolver for the jobStats field.\n 539→func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n 540→\tjob, err := r.Query().Job(ctx, id)\n 541→\tif err != nil {\n 542→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n 543→\t\treturn nil, err\n 544→\t}\n 545→\n 546→\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 547→\tif err != nil {\n 548→\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n 549→\t\treturn nil, err\n 550→\t}\n 551→\n 552→\tres := []*model.NamedStats{}\n 553→\tfor name, md := range data {\n 554→\t\tres = append(res, &model.NamedStats{\n 555→\t\t\tName: name,\n 556→\t\t\tData: &md,\n 557→\t\t})\n 558→\t}\n 559→\n 560→\treturn res, err\n 561→}\n 562→\n 563→// ScopedJobStats is the resolver for the scopedJobStats field.\n 564→func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n 565→\tjob, err := r.Query().Job(ctx, id)\n 566→\tif err != nil {\n 567→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n 568→\t\treturn nil, err\n 569→\t}\n 570→\n 571→\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n 572→\tif err != nil {\n 573→\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n 574→\t\treturn nil, err\n 575→\t}\n 576→\n 577→\tres := make([]*model.NamedStatsWithScope, 0)\n 578→\tfor name, scoped := range data {\n 579→\t\tfor scope, stats := range scoped {\n 580→\n 581→\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n 582→\t\t\tfor _, stat := range stats {\n 583→\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n 584→\t\t\t\t\tHostname: stat.Hostname,\n 585→\t\t\t\t\tID: stat.ID,\n 586→\t\t\t\t\tData: stat.Data,\n 587→\t\t\t\t})\n 588→\t\t\t}\n 589→\n 590→\t\t\tres = append(res, &model.NamedStatsWithScope{\n 591→\t\t\t\tName: name,\n 592→\t\t\t\tScope: scope,\n 593→\t\t\t\tStats: mdlStats,\n 594→\t\t\t})\n 595→\t\t}\n 596→\t}\n 597→\n 598→\treturn res, nil\n 599→}\n 600→\n 601→// Jobs is the resolver for the jobs field.\n 602→func (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n 603→\tif page == nil {\n 604→\t\tpage = &model.PageRequest{\n 605→\t\t\tItemsPerPage: 50,\n 606→\t\t\tPage: 1,\n 607→\t\t}\n 608→\t}\n 609→\n 610→\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n 611→\tif err != nil {\n 612→\t\tcclog.Warn(\"Error while querying jobs\")\n 613→\t\treturn nil, err\n 614→\t}\n 615→\n 616→\tcount, err := r.Repo.CountJobs(ctx, filter)\n 617→\tif err != nil {\n 618→\t\tcclog.Warn(\"Error while counting jobs\")\n 619→\t\treturn nil, err\n 620→\t}\n 621→\n 622→\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n 623→\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n 624→\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n 625→\t/*\n 626→\t Example Page 4 @ 10 IpP : Does item 41 exist?\n 627→\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n 628→\t*/\n 629→\thasNextPage := false\n 630→\tif page.ItemsPerPage != -1 {\n 631→\t\tnextPage := &model.PageRequest{\n 632→\t\t\tItemsPerPage: 1,\n 633→\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n 634→\t\t}\n 635→\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n 636→\t\tif err != nil {\n 637→\t\t\tcclog.Warn(\"Error while querying next jobs\")\n 638→\t\t\treturn nil, err\n 639→\t\t}\n 640→\t\thasNextPage = len(nextJobs) == 1\n 641→\t}\n 642→\n 643→\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n 644→}\n 645→\n 646→// JobsStatistics is the resolver for the jobsStatistics field.\n 647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n 648→\tvar err error\n 649→\tvar stats []*model.JobsStatistics\n 650→\n 651→\t// Top Level Defaults\n 652→\tdefaultDurationBins := \"1h\"\n 653→\tdefaultMetricBins := 10\n 654→\n 655→\t// Build requested fields map for selective column computation\n 656→\tstatsFields := []string{\n 657→\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n 658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n 659→\t}\n 660→\treqFields := make(map[string]bool, len(statsFields))\n 661→\tfetchedMainStats := false\n 662→\tfor _, f := range statsFields {\n 663→\t\tif requireField(ctx, f) {\n 664→\t\t\treqFields[f] = true\n 665→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n 666→\t\t\t\tfetchedMainStats = true\n 667→\t\t\t}\n 668→\t\t}\n 669→\t}\n 670→\n 671→\tif fetchedMainStats {\n 672→\t\tif groupBy == nil {\n 673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n 674→\t\t} else {\n 675→\t\t\tstartGrouped := time.Now()\n 676→\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n 677→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n 678→\t\t}\n 679→\t} else {\n 680→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 681→\t\tstats = append(stats, &model.JobsStatistics{})\n 682→\t}\n 683→\n 684→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n 685→\t// Only run separate count queries if main stats were not fetched.\n 686→\tif !fetchedMainStats {\n 687→\t\tif groupBy != nil {\n 688→\t\t\tif requireField(ctx, \"shortJobs\") {\n 689→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n 690→\t\t\t}\n 691→\t\t\tif requireField(ctx, \"runningJobs\") {\n 692→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n 693→\t\t\t}\n 694→\t\t} else {\n 695→\t\t\tif requireField(ctx, \"shortJobs\") {\n 696→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n 697→\t\t\t}\n 698→\t\t\tif requireField(ctx, \"runningJobs\") {\n 699→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n 700→\t\t\t}\n 701→\t\t}\n 702→\t}\n 703→\n 704→\tif err != nil {\n 705→\t\treturn nil, err\n 706→\t}\n 707→\n 708→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n 709→\n 710→\t\tif numDurationBins == nil {\n 711→\t\t\tnumDurationBins = &defaultDurationBins\n 712→\t\t}\n 713→\n 714→\t\tif groupBy == nil {\n 715→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n 716→\t\t\tif err != nil {\n 717→\t\t\t\treturn nil, err\n 718→\t\t\t}\n 719→\t\t} else {\n 720→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n 721→\t\t}\n 722→\t}\n 723→\n 724→\tif requireField(ctx, \"histMetrics\") {\n 725→\n 726→\t\tif numMetricBins == nil {\n 727→\t\t\tnumMetricBins = &defaultMetricBins\n 728→\t\t}\n 729→\n 730→\t\tif groupBy == nil {\n 731→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n 732→\t\t\tif err != nil {\n 733→\t\t\t\treturn nil, err\n 734→\t\t\t}\n 735→\t\t} else {\n 736→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n 737→\t\t}\n 738→\t}\n 739→\n 740→\treturn stats, nil\n 741→}\n 742→\n 743→// JobsMetricStats is the resolver for the jobsMetricStats field.\n 744→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n 745→\t// No Paging, Fixed Order by StartTime ASC\n 746→\torder := &model.OrderByInput{\n 747→\t\tField: \"startTime\",\n 748→\t\tType: \"col\",\n 749→\t\tOrder: \"ASC\",\n 750→\t}\n 751→\n 752→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n 753→\tif err != nil {\n 754→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n 755→\t\treturn nil, err\n 756→\t}\n 757→\n 758→\tres := []*model.JobStats{}\n 759→\tfor _, job := range jobs {\n 760→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 761→\t\tif err != nil {\n 762→\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n 763→\t\t\tcontinue\n 764→\t\t\t// return nil, err\n 765→\t\t}\n 766→\n 767→\t\tsres := []*model.NamedStats{}\n 768→\t\tfor name, md := range data {\n 769→\t\t\tsres = append(sres, &model.NamedStats{\n 770→\t\t\t\tName: name,\n 771→\t\t\t\tData: &md,\n 772→\t\t\t})\n 773→\t\t}\n 774→\n 775→\t\tnumThreadsInt := int(job.NumHWThreads)\n 776→\t\tnumAccsInt := int(job.NumAcc)\n 777→\t\tres = append(res, &model.JobStats{\n 778→\t\t\tID: int(*job.ID),\n 779→\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n 780→\t\t\tStartTime: int(job.StartTime),\n 781→\t\t\tDuration: int(job.Duration),\n 782→\t\t\tCluster: job.Cluster,\n 783→\t\t\tSubCluster: job.SubCluster,\n 784→\t\t\tNumNodes: int(job.NumNodes),\n 785→\t\t\tNumHWThreads: &numThreadsInt,\n 786→\t\t\tNumAccelerators: &numAccsInt,\n 787→\t\t\tStats: sres,\n 788→\t\t})\n 789→\t}\n 790→\treturn res, err\n 791→}\n 792→\n 793→// JobsFootprints is the resolver for the jobsFootprints field.\n 794→func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 795→\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n 796→\treturn r.jobsFootprints(ctx, filter, metrics)\n 797→}\n 798→\n 799→// RooflineHeatmap is the resolver for the rooflineHeatmap field.\n 800→func (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n 801→\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n 802→}\n 803→\n 804→// NodeMetrics is the resolver for the nodeMetrics field.\n 805→func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n 806→\tuser := repository.GetUserFromContext(ctx)\n 807→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 808→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 809→\t}\n 810→\n 811→\tdefaultMetrics := make([]string, 0)\n 812→\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 813→\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n 814→\t}\n 815→\tif metrics == nil {\n 816→\t\tmetrics = defaultMetrics\n 817→\t} else {\n 818→\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n 819→\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n 820→\t\t})\n 821→\t}\n 822→\n 823→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n 824→\tif err != nil {\n 825→\t\tcclog.Warn(\"error while loading node data\")\n 826→\t\treturn nil, err\n 827→\t}\n 828→\n 829→\tnodeRepo := repository.GetNodeRepository()\n 830→\tstateMap, _ := nodeRepo.MapNodes(cluster)\n 831→\n 832→\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n 833→\tfor hostname, metrics := range data {\n 834→\t\thost := &model.NodeMetrics{\n 835→\t\t\tHost: hostname,\n 836→\t\t\tState: stateMap[hostname],\n 837→\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n 838→\t\t}\n 839→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n 840→\t\tif err != nil {\n 841→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n 842→\t\t}\n 843→\n 844→\t\tfor metric, scopedMetrics := range metrics {\n 845→\t\t\tfor _, scopedMetric := range scopedMetrics {\n 846→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n 847→\t\t\t\t\tName: metric,\n 848→\t\t\t\t\tScope: schema.MetricScopeNode,\n 849→\t\t\t\t\tMetric: scopedMetric,\n 850→\t\t\t\t})\n 851→\t\t\t}\n 852→\t\t}\n 853→\n 854→\t\tnodeMetrics = append(nodeMetrics, host)\n 855→\t}\n 856→\n 857→\treturn nodeMetrics, nil\n 858→}\n 859→\n 860→// NodeMetricsList is the resolver for the nodeMetricsList field.\n 861→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n 862→\tif resolution == nil { // Load from Config\n 863→\t\tif config.Keys.EnableResampling != nil {\n 864→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 865→\t\t\tresolution = &defaultRes\n 866→\t\t} else { // Set 0 (Loads configured metric timestep)\n 867→\t\t\tdefaultRes := 0\n 868→\t\t\tresolution = &defaultRes\n 869→\t\t}\n 870→\t}\n 871→\n 872→\tuser := repository.GetUserFromContext(ctx)\n 873→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 874→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 875→\t}\n 876→\n 877→\tnodeRepo := repository.GetNodeRepository()\n 878→\t// nodes -> array hostname\n 879→\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n 880→\tif nerr != nil {\n 881→\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n 882→\t}\n 883→\n 884→\tif metrics == nil {\n 885→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 886→\t\t\tmetrics = append(metrics, mc.Name)\n 887→\t\t}\n 888→\t}\n 889→\n 890→\t// data -> map hostname:jobdata\n 891→\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n 892→\tif err != nil {\n 893→\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n 894→\t\treturn nil, err\n 895→\t}\n 896→\n 897→\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n 898→\tfor _, hostname := range nodes {\n 899→\t\thost := &model.NodeMetrics{\n 900→\t\t\tHost: hostname,\n 901→\t\t\tState: stateMap[hostname],\n 902→\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n 903→\t\t}\n 904→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n 905→\t\tif err != nil {\n 906→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n 907→\t\t}\n 908→\n 909→\t\tfor metric, scopedMetrics := range data[hostname] {\n 910→\t\t\tfor scope, scopedMetric := range scopedMetrics {\n 911→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n 912→\t\t\t\t\tName: metric,\n 913→\t\t\t\t\tScope: scope,\n 914→\t\t\t\t\tMetric: scopedMetric,\n 915→\t\t\t\t})\n 916→\t\t\t}\n 917→\t\t}\n 918→\n 919→\t\tnodeMetricsList = append(nodeMetricsList, host)\n 920→\t}\n 921→\n 922→\tnodeMetricsListResult := &model.NodesResultList{\n 923→\t\tItems: nodeMetricsList,\n 924→\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n 925→\t\tTotalNodes: &countNodes,\n 926→\t\tHasNextPage: &hasNextPage,\n 927→\t}\n 928→\n 929→\treturn nodeMetricsListResult, nil\n 930→}\n 931→\n 932→// ClusterMetrics is the resolver for the clusterMetrics field.\n 933→func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n 934→\tuser := repository.GetUserFromContext(ctx)\n 935→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 936→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 937→\t}\n 938→\n 939→\tif metrics == nil {\n 940→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 941→\t\t\tmetrics = append(metrics, mc.Name)\n 942→\t\t}\n 943→\t}\n 944→\n 945→\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n 946→\tscopes := []schema.MetricScope{\"node\"}\n 947→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n 948→\tif err != nil {\n 949→\t\tcclog.Warn(\"error while loading node data\")\n 950→\t\treturn nil, err\n 951→\t}\n 952→\n 953→\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n 954→\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n 955→\n 956→\tcollectorTimestep := make(map[string]int)\n 957→\tcollectorUnit := make(map[string]schema.Unit)\n 958→\tcollectorData := make(map[string][]schema.Float)\n 959→\n 960→\tfor _, metrics := range data {\n 961→\t\tclusterMetrics.NodeCount += 1\n 962→\t\tfor metric, scopedMetrics := range metrics {\n 963→\t\t\tfor _, scopedMetric := range scopedMetrics {\n 964→\t\t\t\t// Collect Info Once\n 965→\t\t\t\t_, okTimestep := collectorTimestep[metric]\n 966→\t\t\t\tif !okTimestep {\n 967→\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n 968→\t\t\t\t}\n 969→\t\t\t\t_, okUnit := collectorUnit[metric]\n 970→\t\t\t\tif !okUnit {\n 971→\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n 972→\t\t\t\t}\n 973→\t\t\t\t// Collect Data\n 974→\t\t\t\tfor _, ser := range scopedMetric.Series {\n 975→\t\t\t\t\t_, okData := collectorData[metric]\n 976→\t\t\t\t\t// Init With Datasize > 0\n 977→\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n 978→\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n 979→\t\t\t\t\t} else if !okData {\n 980→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n 981→\t\t\t\t\t}\n 982→\t\t\t\t\t// Sum if init'd and matching size\n 983→\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n 984→\t\t\t\t\t\tfor i, val := range ser.Data {\n 985→\t\t\t\t\t\t\tif val.IsNaN() {\n 986→\t\t\t\t\t\t\t\tcontinue\n 987→\t\t\t\t\t\t\t} else {\n 988→\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n 989→\t\t\t\t\t\t\t}\n 990→\t\t\t\t\t\t}\n 991→\t\t\t\t\t} else if okData {\n 992→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n 993→\t\t\t\t\t}\n 994→\t\t\t\t}\n 995→\t\t\t}\n 996→\t\t}\n 997→\t}\n 998→\n 999→\tfor metricName, data := range collectorData {\n 1000→\t\t// use ccUnits for backend normalization to \"Tera\"\n 1001→\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n 1002→\t\tp_new := ccunit.NewPrefix(\"T\")\n 1003→\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n 1004→\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n 1005→\n 1006→\t\troundedData := make([]schema.Float, 0)\n 1007→\t\tfor _, v_old := range data {\n 1008→\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n 1009→\t\t\troundedData = append(roundedData, schema.Float(v_new))\n 1010→\t\t}\n 1011→\n 1012→\t\tcm := model.ClusterMetricWithName{\n 1013→\t\t\tName: metricName,\n 1014→\t\t\tUnit: &u_new,\n 1015→\t\t\tTimestep: collectorTimestep[metricName],\n 1016→\t\t\tData: roundedData,\n 1017→\t\t}\n 1018→\n 1019→\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n 1020→\t}\n 1021→\n 1022→\treturn &clusterMetrics, nil\n 1023→}\n 1024→\n 1025→// NumberOfNodes is the resolver for the numberOfNodes field.\n 1026→func (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n 1027→\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n 1028→\tif err != nil {\n 1029→\t\treturn 0, err\n 1030→\t}\n 1031→\treturn nodeList.NodeCount(), nil\n 1032→}\n 1033→\n 1034→// Cluster returns generated.ClusterResolver implementation.\n 1035→func (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n 1036→\n 1037→// Job returns generated.JobResolver implementation.\n 1038→func (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n 1039→\n 1040→// MetricValue returns generated.MetricValueResolver implementation.\n 1041→func (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n 1042→\n 1043→// Mutation returns generated.MutationResolver implementation.\n 1044→func (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n 1045→\n 1046→// Node returns generated.NodeResolver implementation.\n 1047→func (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n 1048→\n 1049→// Query returns generated.QueryResolver implementation.\n 1050→func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n 1051→\n 1052→// SubCluster returns generated.SubClusterResolver implementation.\n 1053→func (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n 1054→\n 1055→type (\n 1056→\tclusterResolver struct{ *Resolver }\n 1057→\tjobResolver struct{ *Resolver }\n 1058→\tmetricValueResolver struct{ *Resolver }\n 1059→\tmutationResolver struct{ *Resolver }\n 1060→\tnodeResolver struct{ *Resolver }\n 1061→\tqueryResolver struct{ *Resolver }\n 1062→\tsubClusterResolver struct{ *Resolver }\n 1063→)\n 1064→"}]},"uuid":"933214bf-62de-45d4-9b28-2162f768f0a7","timestamp":"2026-03-13T13:24:05.028Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype (\n\tclusterResolver struct{ *Resolver }\n\tjobResolver struct{ *Resolver }\n\tmetricValueResolver struct{ *Resolver }\n\tmutationResolver struct{ *Resolver }\n\tnodeResolver struct{ *Resolver }\n\tqueryResolver struct{ *Resolver }\n\tsubClusterResolver struct{ *Resolver }\n)\n","numLines":1064,"startLine":1,"totalLines":1064}},"sourceToolAssistantUUID":"d3e42f29-d9b9-4e5b-ab97-5f8241c416ec","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package main provides the entry point for the ClusterCockpit backend server.\n 7→// This file contains HTTP server setup, routing configuration, and\n 8→// authentication middleware integration.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"crypto/tls\"\n 14→\t\"encoding/json\"\n 15→\t\"errors\"\n 16→\t\"fmt\"\n 17→\t\"net\"\n 18→\t\"net/http\"\n 19→\t\"os\"\n 20→\t\"strings\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/99designs/gqlgen/graphql/handler\"\n 24→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n 25→\t\"github.com/99designs/gqlgen/graphql/playground\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 34→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/go-chi/chi/v5\"\n 39→\t\"github.com/go-chi/chi/v5/middleware\"\n 40→\t\"github.com/go-chi/cors\"\n 41→\thttpSwagger \"github.com/swaggo/http-swagger\"\n 42→)\n 43→\n 44→var buildInfo web.Build\n 45→\n 46→// Environment variable names\n 47→const (\n 48→\tenvDebug = \"DEBUG\"\n 49→)\n 50→\n 51→// Server encapsulates the HTTP server state and dependencies\n 52→type Server struct {\n 53→\trouter chi.Router\n 54→\tserver *http.Server\n 55→\trestAPIHandle *api.RestAPI\n 56→\tnatsAPIHandle *api.NatsAPI\n 57→}\n 58→\n 59→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n 60→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 61→\trw.WriteHeader(http.StatusUnauthorized)\n 62→\tjson.NewEncoder(rw).Encode(map[string]string{\n 63→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n 64→\t\t\"error\": err.Error(),\n 65→\t})\n 66→}\n 67→\n 68→// NewServer creates and initializes a new Server instance\n 69→func NewServer(version, commit, buildDate string) (*Server, error) {\n 70→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n 71→\n 72→\ts := &Server{\n 73→\t\trouter: chi.NewRouter(),\n 74→\t}\n 75→\n 76→\tif err := s.init(); err != nil {\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn s, nil\n 81→}\n 82→\n 83→func (s *Server) init() error {\n 84→\t// Setup the http.Handler/Router used by the server\n 85→\tgraph.Init()\n 86→\tresolver := graph.GetResolverInstance()\n 87→\tgraphQLServer := handler.New(\n 88→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n 89→\n 90→\tgraphQLServer.AddTransport(transport.POST{})\n 91→\n 92→\tif os.Getenv(envDebug) != \"1\" {\n 93→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n 94→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n 95→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n 96→\t\t\tswitch e := err.(type) {\n 97→\t\t\tcase string:\n 98→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n 99→\t\t\tcase error:\n 100→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n 101→\t\t\t}\n 102→\n 103→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n 104→\t\t})\n 105→\t}\n 106→\n 107→\tauthHandle := auth.GetAuthInstance()\n 108→\n 109→\t// Middleware must be defined before routes in chi\n 110→\ts.router.Use(func(next http.Handler) http.Handler {\n 111→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 112→\t\t\tstart := time.Now()\n 113→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n 114→\t\t\tnext.ServeHTTP(ww, r)\n 115→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n 116→\t\t\t\tr.Method, r.URL.RequestURI(),\n 117→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n 118→\t\t\t\ttime.Since(start).Milliseconds())\n 119→\t\t})\n 120→\t})\n 121→\ts.router.Use(middleware.Compress(5))\n 122→\ts.router.Use(middleware.Recoverer)\n 123→\ts.router.Use(cors.Handler(cors.Options{\n 124→\t\tAllowCredentials: true,\n 125→\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n 126→\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n 127→\t\tAllowedOrigins: []string{\"*\"},\n 128→\t}))\n 129→\n 130→\ts.restAPIHandle = api.New()\n 131→\n 132→\tinfo := map[string]any{}\n 133→\tinfo[\"hasOpenIDConnect\"] = false\n 134→\n 135→\tif auth.Keys.OpenIDConfig != nil {\n 136→\t\topenIDConnect := auth.NewOIDC(authHandle)\n 137→\t\topenIDConnect.RegisterEndpoints(s.router)\n 138→\t\tinfo[\"hasOpenIDConnect\"] = true\n 139→\t}\n 140→\n 141→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n 142→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 143→\t\tcclog.Debugf(\"##%v##\", info)\n 144→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n 145→\t})\n 146→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n 147→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 148→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n 149→\t})\n 150→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n 151→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 152→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n 153→\t})\n 154→\n 155→\tif !config.Keys.DisableAuthentication {\n 156→\t\t// Create login failure handler (used by both /login and /jwt-login)\n 157→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n 158→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 159→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 160→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 161→\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n 162→\t\t\t\tMsgType: \"alert-warning\",\n 163→\t\t\t\tMessage: err.Error(),\n 164→\t\t\t\tBuild: buildInfo,\n 165→\t\t\t\tInfos: info,\n 166→\t\t\t})\n 167→\t\t}\n 168→\n 169→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 170→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 171→\n 172→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n 173→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 174→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 175→\t\t\t\trw.WriteHeader(http.StatusOK)\n 176→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 177→\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n 178→\t\t\t\t\tMsgType: \"alert-info\",\n 179→\t\t\t\t\tMessage: \"Logout successful\",\n 180→\t\t\t\t\tBuild: buildInfo,\n 181→\t\t\t\t\tInfos: info,\n 182→\t\t\t\t})\n 183→\t\t\t})).ServeHTTP)\n 184→\t}\n 185→\n 186→\tif flagDev {\n 187→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n 188→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n 189→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n 190→\t}\n 191→\n 192→\t// Secured routes (require authentication)\n 193→\ts.router.Group(func(secured chi.Router) {\n 194→\t\tif !config.Keys.DisableAuthentication {\n 195→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n 196→\t\t\t\treturn authHandle.Auth(\n 197→\t\t\t\t\tnext,\n 198→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n 199→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 200→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 201→\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n 202→\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n 203→\t\t\t\t\t\t\tMessage: err.Error(),\n 204→\t\t\t\t\t\t\tBuild: buildInfo,\n 205→\t\t\t\t\t\t\tInfos: info,\n 206→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n 207→\t\t\t\t\t\t})\n 208→\t\t\t\t\t})\n 209→\t\t\t})\n 210→\t\t}\n 211→\n 212→\t\tsecured.Handle(\"/query\", graphQLServer)\n 213→\n 214→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n 215→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n 216→\t\t})\n 217→\n 218→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n 219→\t})\n 220→\n 221→\t// API routes (JWT token auth)\n 222→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n 223→\t\t// Main API routes with API auth\n 224→\t\tapiRouter.Group(func(securedapi chi.Router) {\n 225→\t\t\tif !config.Keys.DisableAuthentication {\n 226→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n 227→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n 228→\t\t\t\t})\n 229→\t\t\t}\n 230→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n 231→\t\t})\n 232→\n 233→\t\t// Metric store API routes with separate auth\n 234→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n 235→\t\t\tif !config.Keys.DisableAuthentication {\n 236→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n 237→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n 238→\t\t\t\t})\n 239→\t\t\t}\n 240→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n 241→\t\t})\n 242→\t})\n 243→\n 244→\t// User API routes\n 245→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n 246→\t\tif !config.Keys.DisableAuthentication {\n 247→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n 248→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n 249→\t\t\t})\n 250→\t\t}\n 251→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n 252→\t})\n 253→\n 254→\t// Config API routes (uses Group with full paths to avoid shadowing\n 255→\t// the /config page route that is registered in the secured group)\n 256→\ts.router.Group(func(configapi chi.Router) {\n 257→\t\tif !config.Keys.DisableAuthentication {\n 258→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n 259→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n 260→\t\t\t})\n 261→\t\t}\n 262→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n 263→\t})\n 264→\n 265→\t// Frontend API routes\n 266→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n 267→\t\tif !config.Keys.DisableAuthentication {\n 268→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n 269→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n 270→\t\t\t})\n 271→\t\t}\n 272→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n 273→\t})\n 274→\n 275→\tif config.Keys.APISubjects != nil {\n 276→\t\ts.natsAPIHandle = api.NewNatsAPI()\n 277→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n 278→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n 279→\t\t}\n 280→\t}\n 281→\n 282→\t// 404 handler for pages and API routes\n 283→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n 284→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n 285→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n 286→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n 287→\t\t\trw.WriteHeader(http.StatusNotFound)\n 288→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n 289→\t\t\t\t\"status\": \"Resource not found\",\n 290→\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n 291→\t\t\t})\n 292→\t\t\treturn\n 293→\t\t}\n 294→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n 295→\t\trw.WriteHeader(http.StatusNotFound)\n 296→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n 297→\t\t\tTitle: \"Page Not Found\",\n 298→\t\t\tBuild: buildInfo,\n 299→\t\t})\n 300→\t}\n 301→\n 302→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n 303→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n 304→\ts.router.NotFound(notFoundHandler)\n 305→\n 306→\tif config.Keys.EmbedStaticFiles {\n 307→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n 308→\t\t\tif i.IsDir() {\n 309→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n 310→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n 311→\t\t\t}\n 312→\t\t}\n 313→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n 314→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 315→\t\t\tif web.StaticFileExists(r.URL.Path) {\n 316→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 317→\t\t\t\treturn\n 318→\t\t\t}\n 319→\t\t\tnotFoundHandler(rw, r)\n 320→\t\t}))\n 321→\t} else {\n 322→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n 323→\t\tfileServer := http.FileServer(staticDir)\n 324→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 325→\t\t\tf, err := staticDir.Open(r.URL.Path)\n 326→\t\t\tif err == nil {\n 327→\t\t\t\tf.Close()\n 328→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 329→\t\t\t\treturn\n 330→\t\t\t}\n 331→\t\t\tnotFoundHandler(rw, r)\n 332→\t\t}))\n 333→\t}\n 334→\n 335→\treturn nil\n 336→}\n 337→\n 338→// Server timeout defaults (in seconds)\n 339→const (\n 340→\tdefaultReadTimeout = 20\n 341→\tdefaultWriteTimeout = 20\n 342→)\n 343→\n 344→func (s *Server) Start(ctx context.Context) error {\n 345→\t// Use configurable timeouts with defaults\n 346→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n 347→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n 348→\n 349→\ts.server = &http.Server{\n 350→\t\tReadTimeout: readTimeout,\n 351→\t\tWriteTimeout: writeTimeout,\n 352→\t\tHandler: s.router,\n 353→\t\tAddr: config.Keys.Addr,\n 354→\t}\n 355→\n 356→\t// Start http or https server\n 357→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n 358→\tif err != nil {\n 359→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n 360→\t}\n 361→\n 362→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n 363→\t\tgo func() {\n 364→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n 365→\t\t}()\n 366→\t}\n 367→\n 368→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n 369→\t\tcert, err := tls.LoadX509KeyPair(\n 370→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n 371→\t\tif err != nil {\n 372→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n 373→\t\t}\n 374→\t\tlistener = tls.NewListener(listener, &tls.Config{\n 375→\t\t\tCertificates: []tls.Certificate{cert},\n 376→\t\t\tCipherSuites: []uint16{\n 377→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n 378→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n 379→\t\t\t},\n 380→\t\t\tMinVersion: tls.VersionTLS12,\n 381→\t\t\tPreferServerCipherSuites: true,\n 382→\t\t})\n 383→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n 384→\t} else {\n 385→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n 386→\t}\n 387→\t//\n 388→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n 389→\t// be established first, then the user can be changed, and after that,\n 390→\t// the actual http server can be started.\n 391→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n 392→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n 393→\t}\n 394→\n 395→\t// Handle context cancellation for graceful shutdown\n 396→\tgo func() {\n 397→\t\t<-ctx.Done()\n 398→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n 399→\t\tdefer cancel()\n 400→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 401→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 402→\t\t}\n 403→\t}()\n 404→\n 405→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n 406→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n 407→\t}\n 408→\treturn nil\n 409→}\n 410→\n 411→func (s *Server) Shutdown(ctx context.Context) {\n 412→\t// Create a shutdown context with timeout\n 413→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n 414→\tdefer cancel()\n 415→\n 416→\tnc := nats.GetClient()\n 417→\tif nc != nil {\n 418→\t\tnc.Close()\n 419→\t}\n 420→\n 421→\t// First shut down the server gracefully (waiting for all ongoing requests)\n 422→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 423→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 424→\t}\n 425→\n 426→\t// Archive all the metric store data\n 427→\tms := metricstore.GetMemoryStore()\n 428→\n 429→\tif ms != nil {\n 430→\t\tmetricstore.Shutdown()\n 431→\t}\n 432→\n 433→\t// Shutdown archiver with 10 second timeout for fast shutdown\n 434→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 435→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n 436→\t}\n 437→}\n 438→"}]},"uuid":"00363808-b3e5-478d-91c4-0f1a2749621e","timestamp":"2026-03-13T13:24:11.088Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","numLines":438,"startLine":1,"totalLines":438}},"sourceToolAssistantUUID":"66dad0f2-fc58-44e5-977a-5d74ad681ef4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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210→ {/each}\n 211→ \n 212→ \n 213→ \n 214→ \n 215→ {\n 218→ pagingState = { page: 1, itemsPerPage: 10 };\n 219→ selectedHistograms = [...$state.snapshot(selectedHistograms)];\n 220→ }}\n 221→ />\n 222→ \n 223→\n 224→\n 225→
\n 226→\n 227→\n 228→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 229→ \n 230→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 231→ \n 232→ \n 233→ {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n 234→ \n 248→ {/key}\n 249→ \n 250→ \n 251→
\n 252→

Top Users: Jobs

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\n 266→ \n 267→ \n 268→ \n 269→ \n 270→ \n 271→ \n 272→ \n 273→ \n 274→ {#each $topStatsQuery.data.topUserJobs as tu, i}\n 275→ \n 276→ \n 279→ \n 288→ {#if tu?.name}\n 289→ {scrambleNames ? scramble(tu.name) : tu.name}\n 294→ {/if}\n 295→ \n 296→ \n 297→ {/each}\n 298→
UserJobs
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\n 299→ \n 300→\n 301→ \n 302→

Top Projects: Jobs

\n 303→ tp[\"totalJobs\"],\n 310→ )}\n 311→ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n 312→ scrambleNames ? scramble(tp.id) : tp.id,\n 313→ )}\n 314→ />\n 315→ \n 316→ \n 317→ \n 318→ \n 319→ \n 320→ \n 321→ \n 322→ \n 323→ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n 324→ \n 325→ \n 328→ \n 337→ \n 338→ \n 339→ {/each}\n 340→
ProjectJobs
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\n 341→ \n 342→ \n 343→{:else}\n 344→ Cannot render job status charts: No data!\n 347→{/if}\n 348→\n 349→
\n 350→\n 351→\n 352→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 353→ \n 354→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 355→ \n 356→ \n 357→ \n 369→ \n 370→ \n 371→
\n 372→

Top Users: Nodes

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UserNodes
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Top Projects: Nodes

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ProjectNodes
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\n 492→

Top Users: GPUs

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UserGPUs
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Top Projects: GPUs

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ProjectGPUs
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Top Users: Jobs

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Top Projects: Jobs

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ProjectJobs
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\n

Top Users: Nodes

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\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
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Top Projects: Nodes

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ProjectNodes
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\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

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UserGPUs
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\n \n\n \n

Top Projects: GPUs

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ProjectGPUs
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columns\n 3→-- These indexes allow the status views to be served entirely from index scans.\n 4→\n 5→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n 6→ ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 7→\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n 9→ ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 10→\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n 12→ ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 13→\n 14→-- Drop 3-col indexes that are now subsumed by the covering indexes above\n 15→DROP INDEX IF EXISTS jobs_cluster_jobstate_user;\n 16→DROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n 17→\n 18→PRAGMA optimize;\n 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"math\"\n 12→\t\"slices\"\n 13→\n 14→\t\"github.com/99designs/gqlgen/graphql\"\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 19→)\n 20→\n 21→const MAX_JOBS_FOR_ANALYSIS = 500\n 22→\n 23→// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\n 24→func (r *queryResolver) rooflineHeatmap(\n 25→\tctx context.Context,\n 26→\tfilter []*model.JobFilter,\n 27→\trows int, cols int,\n 28→\tminX float64, minY float64, maxX float64, maxY float64,\n 29→) ([][]float64, error) {\n 30→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 31→\tif err != nil {\n 32→\t\tcclog.Error(\"Error while querying jobs for roofline\")\n 33→\t\treturn nil, err\n 34→\t}\n 35→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 36→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 37→\t}\n 38→\n 39→\tfcols, frows := float64(cols), float64(rows)\n 40→\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n 41→\ttiles := make([][]float64, rows)\n 42→\tfor i := range tiles {\n 43→\t\ttiles[i] = make([]float64, cols)\n 44→\t}\n 45→\n 46→\tfor _, job := range jobs {\n 47→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 48→\t\t\tcontinue\n 49→\t\t}\n 50→\n 51→\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 52→\t\t// resolution := 0\n 53→\n 54→\t\t// for _, mc := range metricConfigs {\n 55→\t\t// \tresolution = max(resolution, mc.Timestep)\n 56→\t\t// }\n 57→\n 58→\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n 59→\t\tif err != nil {\n 60→\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n 61→\t\t\treturn nil, err\n 62→\t\t}\n 63→\n 64→\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n 65→\t\tif flops_ == nil && membw_ == nil {\n 66→\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n 67→\t\t\tcontinue\n 68→\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n 69→\t\t}\n 70→\n 71→\t\tflops, ok1 := flops_[\"node\"]\n 72→\t\tmembw, ok2 := membw_[\"node\"]\n 73→\t\tif !ok1 || !ok2 {\n 74→\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 75→\t\t\tcontinue\n 76→\t\t\t// TODO/FIXME:\n 77→\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 78→\t\t}\n 79→\n 80→\t\tfor n := 0; n < len(flops.Series); n++ {\n 81→\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n 82→\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n 83→\t\t\t\tif i >= len(membwSeries.Data) {\n 84→\t\t\t\t\tbreak\n 85→\t\t\t\t}\n 86→\n 87→\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n 88→\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n 89→\t\t\t\t\tcontinue\n 90→\t\t\t\t}\n 91→\n 92→\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n 93→\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n 94→\t\t\t\t\tcontinue\n 95→\t\t\t\t}\n 96→\n 97→\t\t\t\ttiles[int(y)][int(x)] += 1\n 98→\t\t\t}\n 99→\t\t}\n 100→\t}\n 101→\n 102→\treturn tiles, nil\n 103→}\n 104→\n 105→// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\n 106→func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 107→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 108→\tif err != nil {\n 109→\t\tcclog.Error(\"Error while querying jobs for footprint\")\n 110→\t\treturn nil, err\n 111→\t}\n 112→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 113→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 114→\t}\n 115→\n 116→\tavgs := make([][]schema.Float, len(metrics))\n 117→\tfor i := range avgs {\n 118→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 119→\t}\n 120→\n 121→\ttimeweights := new(model.TimeWeights)\n 122→\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n 123→\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n 124→\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n 125→\n 126→\tfor _, job := range jobs {\n 127→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 128→\t\t\tcontinue\n 129→\t\t}\n 130→\n 131→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 132→\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n 133→\t\t\treturn nil, err\n 134→\t\t}\n 135→\n 136→\t\t// #166 collect arrays: Null values or no null values?\n 137→\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n 138→\t\tif job.NumAcc > 0 {\n 139→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n 140→\t\t} else {\n 141→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n 142→\t\t}\n 143→\t\tif job.NumHWThreads > 0 {\n 144→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n 145→\t\t} else {\n 146→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n 147→\t\t}\n 148→\t}\n 149→\n 150→\tres := make([]*model.MetricFootprints, len(avgs))\n 151→\tfor i, arr := range avgs {\n 152→\t\tres[i] = &model.MetricFootprints{\n 153→\t\t\tMetric: metrics[i],\n 154→\t\t\tData: arr,\n 155→\t\t}\n 156→\t}\n 157→\n 158→\treturn &model.Footprints{\n 159→\t\tTimeWeights: timeweights,\n 160→\t\tMetrics: res,\n 161→\t}, nil\n 162→}\n 163→\n 164→// func numCoresForJob(job *schema.Job) (numCores int) {\n 165→\n 166→// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n 167→// \tif scerr != nil {\n 168→// \t\treturn 1\n 169→// \t}\n 170→\n 171→// \ttotalJobCores := 0\n 172→// \ttopology := subcluster.Topology\n 173→\n 174→// \tfor _, host := range job.Resources {\n 175→// \t\thwthreads := host.HWThreads\n 176→// \t\tif hwthreads == nil {\n 177→// \t\t\thwthreads = topology.Node\n 178→// \t\t}\n 179→\n 180→// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n 181→// \t\ttotalJobCores += len(hostCores)\n 182→// \t}\n 183→\n 184→// \treturn totalJobCores\n 185→// }\n 186→\n 187→func requireField(ctx context.Context, name string) bool {\n 188→\tfields := graphql.CollectAllFields(ctx)\n 189→\n 190→\treturn slices.Contains(fields, name)\n 191→}\n 192→"}]},"uuid":"db646daa-34ea-4154-8717-ff7edd8d6297","timestamp":"2026-03-13T13:24:25.772Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/util.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"slices\"\n\n\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst MAX_JOBS_FOR_ANALYSIS = 500\n\n// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) rooflineHeatmap(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\trows int, cols int,\n\tminX float64, minY float64, maxX float64, maxY float64,\n) ([][]float64, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for roofline\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tfcols, frows := float64(cols), float64(rows)\n\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n\ttiles := make([][]float64, rows)\n\tfor i := range tiles {\n\t\ttiles[i] = make([]float64, cols)\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\t\t// resolution := 0\n\n\t\t// for _, mc := range metricConfigs {\n\t\t// \tresolution = max(resolution, mc.Timestep)\n\t\t// }\n\n\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n\t\tif flops_ == nil && membw_ == nil {\n\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n\t\t\tcontinue\n\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n\t\t}\n\n\t\tflops, ok1 := flops_[\"node\"]\n\t\tmembw, ok2 := membw_[\"node\"]\n\t\tif !ok1 || !ok2 {\n\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t\tcontinue\n\t\t\t// TODO/FIXME:\n\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t}\n\n\t\tfor n := 0; n < len(flops.Series); n++ {\n\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n\t\t\t\tif i >= len(membwSeries.Data) {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\ttiles[int(y)][int(x)] += 1\n\t\t\t}\n\t\t}\n\t}\n\n\treturn tiles, nil\n}\n\n// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for footprint\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\ttimeweights := new(model.TimeWeights)\n\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// #166 collect arrays: Null values or no null values?\n\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n\t\tif job.NumAcc > 0 {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n\t\t} else {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n\t\t}\n\t\tif job.NumHWThreads > 0 {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n\t\t} else {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n\t\t}\n\t}\n\n\tres := make([]*model.MetricFootprints, len(avgs))\n\tfor i, arr := range avgs {\n\t\tres[i] = &model.MetricFootprints{\n\t\t\tMetric: metrics[i],\n\t\t\tData: arr,\n\t\t}\n\t}\n\n\treturn &model.Footprints{\n\t\tTimeWeights: timeweights,\n\t\tMetrics: res,\n\t}, nil\n}\n\n// func numCoresForJob(job *schema.Job) (numCores int) {\n\n// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n// \tif scerr != nil {\n// \t\treturn 1\n// \t}\n\n// \ttotalJobCores := 0\n// \ttopology := subcluster.Topology\n\n// \tfor _, host := range job.Resources {\n// \t\thwthreads := host.HWThreads\n// \t\tif hwthreads == nil {\n// \t\t\thwthreads = topology.Node\n// \t\t}\n\n// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n// \t\ttotalJobCores += len(hostCores)\n// \t}\n\n// \treturn totalJobCores\n// }\n\nfunc requireField(ctx context.Context, name string) bool {\n\tfields := graphql.CollectAllFields(ctx)\n\n\treturn slices.Contains(fields, name)\n}\n","numLines":192,"startLine":1,"totalLines":192}},"sourceToolAssistantUUID":"bb4cee48-160d-4e3d-957c-91f58a93a5ef","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"db646daa-34ea-4154-8717-ff7edd8d6297","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QDpSNXthH6vjKCRzDgErj9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":420,"cache_read_input_tokens":74934,"output_tokens":150,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":420},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19pqstPvnu6qgBfPxQn","type":"assistant","uuid":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","timestamp":"2026-03-13T13:24:26.834Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","toolUseID":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","timestamp":"2026-03-13T13:24:26.843Z","uuid":"54e8e6cf-0a05-4e19-882e-23c3925f06e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","type":"tool_result","content":" 1→-- Reverse migration 13: Remove covering status indexes, restore 3-col indexes\n 2→\n 3→DROP INDEX IF EXISTS jobs_cluster_jobstate_user_stats;\n 4→DROP INDEX IF EXISTS jobs_cluster_jobstate_project_stats;\n 5→DROP INDEX IF EXISTS jobs_cluster_jobstate_subcluster_stats;\n 6→\n 7→-- Restore the original 3-col indexes\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user\n 9→ ON job (cluster, job_state, hpc_user);\n 10→\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project\n 12→ ON job (cluster, job_state, project);\n 13→"}]},"uuid":"8c63ac53-7436-4918-9440-ff1f29fd03ca","timestamp":"2026-03-13T13:24:26.843Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql","content":"-- Reverse migration 13: Remove covering status indexes, restore 3-col indexes\n\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user_stats;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project_stats;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_subcluster_stats;\n\n-- Restore the original 3-col indexes\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user\n ON job (cluster, job_state, hpc_user);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project\n ON job (cluster, job_state, project);\n","numLines":13,"startLine":1,"totalLines":13}},"sourceToolAssistantUUID":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8c63ac53-7436-4918-9440-ff1f29fd03ca","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Wbwe2fcD5CLLr1PabXJs9o","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the context. Let me implement all 4 changes. I'll work on them in parallel where possible.\n\n**Change 1: Migration files + version bump + inline literal state value**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3435,"cache_read_input_tokens":75354,"cache_creation":{"ephemeral_5m_input_tokens":3435,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19q87hcEUMnUZKb5HYa","type":"assistant","uuid":"92561e1e-f513-4ee3-a35c-5f31b11fe754","timestamp":"2026-03-13T13:24:32.104Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"92561e1e-f513-4ee3-a35c-5f31b11fe754","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Wbwe2fcD5CLLr1PabXJs9o","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VdN8yEKfzDLi1uWrgcFndg","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql","content":"-- Migration 14: Partial covering indexes for running jobs\n-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n-- the full-table indexes from migration 13. SQLite uses them when the query\n-- contains the literal `job_state = 'running'` (not a parameter placeholder).\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA optimize;\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3435,"cache_read_input_tokens":75354,"cache_creation":{"ephemeral_5m_input_tokens":3435,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19q87hcEUMnUZKb5HYa","type":"assistant","uuid":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","timestamp":"2026-03-13T13:24:36.202Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01VdN8yEKfzDLi1uWrgcFndg","toolUseID":"toolu_01VdN8yEKfzDLi1uWrgcFndg","timestamp":"2026-03-13T13:24:36.211Z","uuid":"95f5caf0-f3c0-4e9d-b2fa-5f5e31554fb3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VdN8yEKfzDLi1uWrgcFndg","type":"tool_result","content":"File created successfully at: /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql"}]},"uuid":"6b556178-372e-467f-88a9-988b0b171353","timestamp":"2026-03-13T13:24:36.211Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql","content":"-- Migration 14: Partial covering indexes for running jobs\n-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n-- the full-table indexes from migration 13. SQLite uses them when the query\n-- contains the literal `job_state = 'running'` (not a parameter placeholder).\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA optimize;\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"8db79658-fbad-4246-ac37-3f76c1f35785","timestamp":"2026-03-13T13:24:44.810Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","oldString":"// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13","newString":"// Version history:\n// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 14","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","structuredPatch":[{"oldStart":21,"oldLines":13,"newStart":21,"newLines":14,"lines":[" // is added to internal/repository/migrations/sqlite3/."," //"," // Version history:","+// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)"," // - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)"," // - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)"," // - Version 11: Optimize job table indexes (reduce from ~78 to 48)"," // - Version 10: Node table"," //"," // Migration files are embedded at build time from the migrations directory.","-const Version uint = 13","+const Version uint = 14"," "," //go:embed migrations/*"," var migrationFiles embed.FS"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ff233541-cb1b-437d-b5a1-5c4735dc3e48","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8db79658-fbad-4246-ac37-3f76c1f35785","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WEj69zhEqjxedFRgfHz39g","type":"message","role":"assistant","content":[{"type":"text","text":"Now inline the literal state value in `BuildWhereClause` for single-state filters:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"cache_creation":{"ephemeral_5m_input_tokens":535,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"e36bd6c7-6a8a-49d1-95ec-a8ff8995502e","timestamp":"2026-03-13T13:24:47.701Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"baf6c3cd-6efa-4688-b896-009e95b689ce","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"e36bd6c7-6a8a-49d1-95ec-a8ff8995502e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WEj69zhEqjxedFRgfHz39g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Mff9BC491Wna1x7Xmo5CPR","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","old_string":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {","new_string":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n\t\t} else {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"output_tokens":310,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":535},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","timestamp":"2026-03-13T13:24:51.160Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Mff9BC491Wna1x7Xmo5CPR","toolUseID":"toolu_01Mff9BC491Wna1x7Xmo5CPR","timestamp":"2026-03-13T13:24:51.181Z","uuid":"aaf70037-b52c-4e04-8720-23c5116cdcb7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Mff9BC491Wna1x7Xmo5CPR","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go has been updated successfully."}]},"uuid":"a67b6524-44f4-4584-a05d-caa94055263a","timestamp":"2026-03-13T13:24:51.181Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","oldString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {","newString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n\t\t} else {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {\n\t\t\tstates := make([]string, len(filter.State))\n\t\t\tfor i, val := range filter.State {\n\t\t\t\tstates[i] = string(val)\n\t\t\t}\n\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t\t}\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":198,"oldLines":8,"newStart":198,"newLines":10,"lines":[" }"," if filter.State != nil {"," if len(filter.State) == 1 {","+ // Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').","+ // Safe: values come from validated GraphQL enum (model.JobState)."," singleStat := string(filter.State[0])","- query = query.Where(\"job.job_state = ?\", singleStat)","+ query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))"," } else {"," states := make([]string, len(filter.State))"," for i, val := range filter.State {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"baf6c3cd-6efa-4688-b896-009e95b689ce","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a67b6524-44f4-4584-a05d-caa94055263a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CvDFCtvYPhBkgsFKujEt5y","type":"message","role":"assistant","content":[{"type":"text","text":"**Change 2: Request-scoped stats cache**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"cache_creation":{"ephemeral_5m_input_tokens":373,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","timestamp":"2026-03-13T13:24:53.881Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CvDFCtvYPhBkgsFKujEt5y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"output_tokens":791,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":373},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","timestamp":"2026-03-13T13:25:03.438Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","toolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","timestamp":"2026-03-13T13:25:03.453Z","uuid":"35832531-83f3-4f3f-b96d-59c2bd91a447","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","type":"tool_result","content":"File created successfully at: /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"}]},"uuid":"a042ca02-488c-424e-88b6-069c298261e5","timestamp":"2026-03-13T13:25:03.453Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a042ca02-488c-424e-88b6-069c298261e5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012GEWpKRU5Mx73pN747mUiF","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the AroundOperations middleware in server.go:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":835,"cache_read_input_tokens":80382,"cache_creation":{"ephemeral_5m_input_tokens":835,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19spbaYEQzgCGokHNGn","type":"assistant","uuid":"a38a34f7-b90a-4457-997a-d4f7a5167e08","timestamp":"2026-03-13T13:25:06.451Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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next(graph.WithStatsGroupCache(ctx))\n\t})"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":835,"cache_read_input_tokens":80382,"output_tokens":260,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":835},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19spbaYEQzgCGokHNGn","type":"assistant","uuid":"2ce24c06-01d6-4a1d-b5cd-ab18359a28d4","timestamp":"2026-03-13T13:25:09.370Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"fbc68978-0297-4973-88de-579028c2ffd2","timestamp":"2026-03-13T13:25:09.395Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\tgraphQLServer.AddTransport(transport.POST{})","newString":"\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":89,"oldLines":6,"newStart":89,"newLines":12,"lines":[" "," graphQLServer.AddTransport(transport.POST{})"," ","+ // Inject a per-request stats cache so that grouped statistics queries","+ // sharing the same (filter, groupBy) pair are executed only once.","+ graphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {","+ return next(graph.WithStatsGroupCache(ctx))","+ })","+"," if os.Getenv(envDebug) != \"1\" {"," // Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed."," // The problem with this is that then, no more stacktrace is printed to stderr."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2ce24c06-01d6-4a1d-b5cd-ab18359a28d4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"fbc68978-0297-4973-88de-579028c2ffd2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"text","text":"I need to add the `graphql` import and export the `WithStatsGroupCache` function. Let me fix the export name first:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","timestamp":"2026-03-13T13:25:12.976Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","new_string":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"output_tokens":229,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":564},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","timestamp":"2026-03-13T13:25:14.266Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","toolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","timestamp":"2026-03-13T13:25:14.291Z","uuid":"5d48dcd7-ac33-4c65-897d-bbd7bee95abd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated. All occurrences of '// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {' were successfully replaced with '// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {'."}]},"uuid":"7614be57-18de-43d4-8812-f22a8e194b90","timestamp":"2026-03-13T13:25:14.291Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","newString":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":39,"oldLines":8,"newStart":39,"newLines":8,"lines":[" }"," }"," ","-// withStatsGroupCache injects a new cache into the context.","-func withStatsGroupCache(ctx context.Context) context.Context {","+// WithStatsGroupCache injects a new cache into the context.","+func WithStatsGroupCache(ctx context.Context) context.Context {"," return context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())"," }"," "]}],"userModified":false,"replaceAll":true},"sourceToolAssistantUUID":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7614be57-18de-43d4-8812-f22a8e194b90","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the `graphql` import in server.go:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"cache_creation":{"ephemeral_5m_input_tokens":350,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","timestamp":"2026-03-13T13:25:30.522Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PzrJcsrW34E3y19BM8FzMD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","old_string":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","new_string":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"output_tokens":281,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":350},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"a6793013-5aa1-4d87-a824-43b6009afa64","timestamp":"2026-03-13T13:25:32.363Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a6793013-5aa1-4d87-a824-43b6009afa64","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01PzrJcsrW34E3y19BM8FzMD","toolUseID":"toolu_01PzrJcsrW34E3y19BM8FzMD","timestamp":"2026-03-13T13:25:32.387Z","uuid":"54a7e373-160a-4ddc-9921-14e27f812a2c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a6793013-5aa1-4d87-a824-43b6009afa64","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PzrJcsrW34E3y19BM8FzMD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go has been updated successfully."}]},"uuid":"6d6d3ad3-8652-4f69-9bc0-dd5b55b31967","timestamp":"2026-03-13T13:25:32.387Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","newString":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":20,"oldLines":6,"newStart":20,"newLines":7,"lines":[" \"strings\""," \"time\""," ","+ \"github.com/99designs/gqlgen/graphql\""," 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continued):"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"cache_creation":{"ephemeral_5m_input_tokens":437,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"49f112dc-32cc-47cb-af63-4592d0b45fff","timestamp":"2026-03-13T13:25:35.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"output_tokens":576,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":437},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"eac31e9f-039b-463c-bc87-91c1da020980","timestamp":"2026-03-13T13:25:41.577Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"868f10fc-48dc-488e-9133-b1d838599dee","timestamp":"2026-03-13T13:25:41.604Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","newString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype (\n\tclusterResolver struct{ *Resolver }\n\tjobResolver struct{ *Resolver }\n\tmetricValueResolver struct{ *Resolver }\n\tmutationResolver struct{ *Resolver }\n\tnodeResolver struct{ *Resolver }\n\tqueryResolver struct{ *Resolver }\n\tsubClusterResolver struct{ *Resolver }\n)\n","structuredPatch":[{"oldStart":673,"oldLines":7,"newStart":673,"newLines":20,"lines":[" stats, err = r.Repo.JobsStats(ctx, filter, reqFields)"," } else {"," startGrouped := time.Now()","- stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ // Use request-scoped cache: multiple aliases with same (filter, groupBy)","+ // but different sortBy/page hit the DB only once.","+ if cache := getStatsGroupCache(ctx); cache != nil {","+ key := statsCacheKey(filter, groupBy)","+ var allStats []*model.JobsStatistics","+ allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {","+ return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)","+ })","+ if err == nil {","+ stats = sortAndPageStats(allStats, sortBy, page)","+ }","+ } else {","+ stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ }"," cclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))"," }"," } else {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"eac31e9f-039b-463c-bc87-91c1da020980","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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Let me add it to `stats_cache.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"cache_creation":{"ephemeral_5m_input_tokens":622,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","timestamp":"2026-03-13T13:25:44.663Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WD557D88SP67vegFoJ5jCV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":622},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","timestamp":"2026-03-13T13:25:44.761Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","toolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","timestamp":"2026-03-13T13:25:44.779Z","uuid":"6e102bc2-3188-4ad4-a6af-1a0a4ffd0e72","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"sync\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 14→)\n 15→\n 16→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n 17→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n 18→// frontend requests multiple sort/page slices of the same underlying data\n 19→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n 20→type statsGroupCache struct {\n 21→\tmu sync.Mutex\n 22→\tentries map[string]*cacheEntry\n 23→}\n 24→\n 25→type cacheEntry struct {\n 26→\tonce sync.Once\n 27→\tresult []*model.JobsStatistics\n 28→\terr error\n 29→}\n 30→\n 31→type ctxKey int\n 32→\n 33→const statsGroupCacheKey ctxKey = iota\n 34→\n 35→// newStatsGroupCache creates a new empty cache.\n 36→func newStatsGroupCache() *statsGroupCache {\n 37→\treturn &statsGroupCache{\n 38→\t\tentries: make(map[string]*cacheEntry),\n 39→\t}\n 40→}\n 41→\n 42→// WithStatsGroupCache injects a new cache into the context.\n 43→func WithStatsGroupCache(ctx context.Context) context.Context {\n 44→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n 45→}\n 46→\n 47→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n 48→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n 49→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n 50→\t\treturn c\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// cacheKey builds a deterministic string key from filter + groupBy.\n 56→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n 57→\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n 58→}\n 59→\n 60→// getOrCompute returns cached results for the given key, computing them on\n 61→// first access via the provided function.\n 62→func (c *statsGroupCache) getOrCompute(\n 63→\tkey string,\n 64→\tcompute func() ([]*model.JobsStatistics, error),\n 65→) ([]*model.JobsStatistics, error) {\n 66→\tc.mu.Lock()\n 67→\tentry, ok := c.entries[key]\n 68→\tif !ok {\n 69→\t\tentry = &cacheEntry{}\n 70→\t\tc.entries[key] = entry\n 71→\t}\n 72→\tc.mu.Unlock()\n 73→\n 74→\tentry.once.Do(func() {\n 75→\t\tentry.result, entry.err = compute()\n 76→\t})\n 77→\treturn entry.result, entry.err\n 78→}\n 79→"}]},"uuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","timestamp":"2026-03-13T13:25:44.779Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","numLines":79,"startLine":1,"totalLines":79}},"sourceToolAssistantUUID":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PnHsnU6gt2LhjfXhTEZjDR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","new_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1741,"cache_read_input_tokens":82568,"output_tokens":222,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1741},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vsJ8tk4gF7rPLFDyq","type":"assistant","uuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","timestamp":"2026-03-13T13:25:49.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","toolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","timestamp":"2026-03-13T13:25:49.256Z","uuid":"b6bc947a-7db4-4b1b-afd4-da33f15aa784","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","timestamp":"2026-03-13T13:25:49.256Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","newString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" import ("," \"context\""," \"fmt\"","+ \"slices\""," \"sync\""," "," \"github.com/ClusterCockpit/cc-backend/internal/graph/model\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QAa4fwohhpymL9HqVikZH5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"\treturn entry.result, entry.err\n}","new_string":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":267,"cache_read_input_tokens":84309,"output_tokens":918,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":267},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19wCRKxfGtevGTc85v1","type":"assistant","uuid":"edf51814-e2de-4d4f-9baa-2741808df2db","timestamp":"2026-03-13T13:26:01.047Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","toolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","timestamp":"2026-03-13T13:26:01.069Z","uuid":"d9abe7ec-fb44-449a-9f18-f86e4c55ff14","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"d11ac660-7a96-420c-8886-d5b6cc230188","timestamp":"2026-03-13T13:26:01.068Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"\treturn entry.result, entry.err\n}","newString":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":77,"oldLines":3,"newStart":77,"newLines":59,"lines":[" })"," return entry.result, entry.err"," }","+","+// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)","+// and returns the requested page slice.","+func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {","+ // Work on a shallow copy so the cached slice order is not mutated.","+ sorted := make([]*model.JobsStatistics, len(allStats))","+ copy(sorted, allStats)","+","+ if sortBy != nil {","+ getter := statsFieldGetter(*sortBy)","+ slices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {","+ return getter(b) - getter(a) // descending","+ })","+ }","+","+ if page != nil && page.ItemsPerPage != -1 {","+ start := (page.Page - 1) * page.ItemsPerPage","+ if start >= len(sorted) {","+ return nil","+ }","+ end := start + page.ItemsPerPage","+ if end > len(sorted) {","+ end = len(sorted)","+ }","+ sorted = sorted[start:end]","+ }","+","+ return sorted","+}","+","+// statsFieldGetter returns a function that extracts the sortable int field","+// from a JobsStatistics struct for the given sort key.","+func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {","+ switch sortBy {","+ case model.SortByAggregateTotaljobs:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ case model.SortByAggregateTotalusers:","+ return func(s *model.JobsStatistics) int { return s.TotalUsers }","+ case model.SortByAggregateTotalwalltime:","+ return func(s *model.JobsStatistics) int { return s.TotalWalltime }","+ case model.SortByAggregateTotalnodes:","+ return func(s *model.JobsStatistics) int { return s.TotalNodes }","+ case model.SortByAggregateTotalnodehours:","+ return func(s *model.JobsStatistics) int { return s.TotalNodeHours }","+ case model.SortByAggregateTotalcores:","+ return func(s *model.JobsStatistics) int { return s.TotalCores }","+ case model.SortByAggregateTotalcorehours:","+ return func(s *model.JobsStatistics) int { return s.TotalCoreHours }","+ case model.SortByAggregateTotalaccs:","+ return func(s *model.JobsStatistics) int { return s.TotalAccs }","+ case model.SortByAggregateTotalacchours:","+ return func(s *model.JobsStatistics) int { return s.TotalAccHours }","+ default:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ }","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"edf51814-e2de-4d4f-9baa-2741808df2db","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d11ac660-7a96-420c-8886-d5b6cc230188","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"text","text":"The `slices` import: I'm using `slices.SortFunc` so it should be used. Let me check the Go version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"cache_creation":{"ephemeral_5m_input_tokens":1033,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","timestamp":"2026-03-13T13:26:04.185Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","name":"Bash","input":{"command":"head -5 /Users/jan/prg/ClusterCockpit/cc-backend/go.mod","description":"Check Go version"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"output_tokens":127,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1033},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","timestamp":"2026-03-13T13:26:04.767Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","type":"tool_result","content":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","is_error":false}]},"uuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","timestamp":"2026-03-13T13:26:04.820Z","toolUseResult":{"stdout":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"text","text":"Go 1.25 should have `slices` in stdlib. The diagnostic might be stale. Let me verify the build compiles. But first let me do **Change 3: Parallelize histogram queries**."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","timestamp":"2026-03-13T13:26:08.786Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015ABCLJxD54VJdQ4434Xb1T","name":"Bash","input":{"command":"grep 'golang.org/x/sync' go.mod","description":"Check if x/sync is a dependency"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"output_tokens":155,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":229},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"753a9235-bde6-405f-b6f4-72e439b7159b","timestamp":"2026-03-13T13:26:09.488Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"753a9235-bde6-405f-b6f4-72e439b7159b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ABCLJxD54VJdQ4434Xb1T","type":"tool_result","content":"\tgolang.org/x/sync v0.19.0 // indirect","is_error":false}]},"uuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","timestamp":"2026-03-13T13:26:09.534Z","toolUseResult":{"stdout":"\tgolang.org/x/sync v0.19.0 // indirect","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"753a9235-bde6-405f-b6f4-72e439b7159b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SxgSrbZviAMYahS9ihhLra","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `errgroup` is available. Now parallelize the histogram queries in `AddHistograms`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":274,"cache_read_input_tokens":85838,"cache_creation":{"ephemeral_5m_input_tokens":274,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xhAVSmTVBLFWNDEDi","type":"assistant","uuid":"8002f7f9-74b5-44f4-ad05-82b438d15718","timestamp":"2026-03-13T13:26:12.772Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","timestamp":"2026-03-13T13:26:16.260Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"","newString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":55,"oldLines":6,"newStart":55,"newLines":7,"lines":[" cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""," \"github.com/ClusterCockpit/cc-lib/v2/schema\""," sq \"github.com/Masterminds/squirrel\"","+ \"golang.org/x/sync/errgroup\""," )"," "," // groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0e037919-ff3a-40ad-92a5-ae71452dc934","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"text","text":"Now replace the sequential histogram calls with parallel ones:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"cache_creation":{"ephemeral_5m_input_tokens":518,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"220a991e-e26f-4040-9ea2-9834aa852105","timestamp":"2026-03-13T13:26:19.141Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"220a991e-e26f-4040-9ea2-9834aa852105","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BBxZWSii8bhD1q6UKReDX2","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","new_string":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"output_tokens":1008,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":518},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","timestamp":"2026-03-13T13:26:35.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","toolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","timestamp":"2026-03-13T13:26:35.248Z","uuid":"8e20f7f2-24f9-4d71-b275-79561ea268d7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BBxZWSii8bhD1q6UKReDX2","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"61223990-72cc-412c-a85d-bb62dd9936f9","timestamp":"2026-03-13T13:26:35.248Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","newString":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":641,"oldLines":33,"newStart":641,"newLines":48,"lines":[" targetBinSize = 3600"," }"," ","- var err error","- // Return X-Values always as seconds, will be formatted into minutes and hours in frontend","+ // Run all 4 histogram queries in parallel — each writes a distinct struct field.","+ g, gctx := errgroup.WithContext(ctx)","+"," value := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)","- stat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: job duration\")","- return nil, err","- }"," ","- stat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","- return nil, err","- }","+ g.Go(func() error {","+ var err error","+ stat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: job duration\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num acc\")","+ }","+ return err","+ })"," ","- stat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ if err := g.Wait(); err != nil {"," return nil, err"," }"," ","- stat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num acc\")","- return nil, err","- }","-"," cclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))"," return stat, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6f3e3876-3c98-41b5-b64a-64c6d537e940","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"61223990-72cc-412c-a85d-bb62dd9936f9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"text","text":"The LSP says errgroup is unused but it should be used by the code I just added. Let me run `go mod tidy` and verify compilation:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"cache_creation":{"ephemeral_5m_input_tokens":1162,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","timestamp":"2026-03-13T13:26:39.269Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","name":"Bash","input":{"command":"go mod tidy 2>&1","description":"Tidy go modules"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"output_tokens":133,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1162},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","timestamp":"2026-03-13T13:26:39.718Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"48f1c453-5abc-404d-a54a-10c240c7de17","timestamp":"2026-03-13T13:26:39.975Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"48f1c453-5abc-404d-a54a-10c240c7de17","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"text","text":"**Change 4: Frontend consolidated query**\n\nNow update the UsageDash.svelte to use 2 aliases instead of 6:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"cache_creation":{"ephemeral_5m_input_tokens":132,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","timestamp":"2026-03-13T13:26:43.648Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","new_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"output_tokens":1197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":132},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","timestamp":"2026-03-13T13:26:55.968Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"a36a94c9-929c-424a-b35a-b5d956132a5b","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v1","version":1,"backupTime":"2026-03-13T13:25:09.393Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-13T13:25:41.602Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-13T13:26:16.258Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v1","version":1,"backupTime":"2026-03-13T13:26:55.999Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","toolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","timestamp":"2026-03-13T13:26:56.002Z","uuid":"6c61ab56-2675-4f57-8ed3-df99e5e9ebdb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated successfully."}]},"uuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","timestamp":"2026-03-13T13:26:56.002Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","newString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":71,"oldLines":75,"newStart":71,"newLines":68,"lines":[" ? queryStore({"," client: client,"," query: gql`","- query ($filter: [JobFilter!]!, $paging: PageRequest!) {","- topUserJobs: jobsStatistics(","+ query ($filter: [JobFilter!]!) {","+ allUsers: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: USER"," ) {"," id"," name"," totalJobs","+ totalNodes","+ totalAccs"," }","- topProjectJobs: jobsStatistics(","+ allProjects: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: PROJECT"," ) {"," id"," totalJobs","- }","- topUserNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: USER","- ) {","- id","- name"," totalNodes","- }","- topProjectNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: PROJECT","- ) {","- id","- totalNodes","- }","- topUserAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: USER","- ) {","- id","- name"," totalAccs"," }","- topProjectAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: PROJECT","- ) {","- id","- totalAccs","- }"," }"," `,"," variables: {"," filter: statusFilter,","- paging: pagingState, // Top 10"," },"," requestPolicy: \"network-only\","," })"," : null,"," );"," ","+ // Sort + slice top-10 from the full results in the frontend","+ const topUserJobs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectJobs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topUserNodes = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectNodes = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topUserAccs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectAccs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+"," // Note: nodeMetrics are requested on configured $timestep resolution"," const nodeStatusQuery = $derived("," loadMe"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a36a94c9-929c-424a-b35a-b5d956132a5b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"text","text":"Now update all template references from `$topStatsQuery.data.topUserJobs` to `topUserJobs`, etc.:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","timestamp":"2026-03-13T13:26:59.034Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TxQQJm7gJidvyrWhuADT82","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":"$topStatsQuery.data.topUserJobs","new_string":"topUserJobs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","timestamp":"2026-03-13T13:27:00.055Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","toolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","timestamp":"2026-03-13T13:27:00.076Z","uuid":"4f47b0b4-6795-4f14-9c3c-e589f9243cb5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TxQQJm7gJidvyrWhuADT82","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated. All occurrences of '$topStatsQuery.data.topUserJobs' were successfully replaced with 'topUserJobs'."}]},"uuid":"37f50ab8-2134-46b5-af9a-4846b80c1385","timestamp":"2026-03-13T13:27:00.076Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":"$topStatsQuery.data.topUserJobs","newString":"topUserJobs","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":248,"oldLines":10,"newStart":248,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-users\""," size={colWidthJobs * 0.75}"," sliceLabel=\"Jobs\"","- quantities={$topStatsQuery.data.topUserJobs.map(","+ quantities={topUserJobs.map("," (tu) => tu[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topUserJobs.map((tu) =>","+ entities={topUserJobs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":264,"oldLines":7,"newStart":264,"newLines":7,"lines":[" User"," Jobs"," ","- {#each $topStatsQuery.data.topUserJobs as tu, i}","+ {#each topUserJobs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":298,"oldLines":10,"newStart":298,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-projects\""," size={colWidthJobs * 0.75}"," sliceLabel={\"Jobs\"}","- quantities={$topStatsQuery.data.topProjectJobs.map(","+ quantities={topProjectJobs.map("," (tp) => tp[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topProjectJobs.map((tp) =>","+ entities={topProjectJobs.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":313,"oldLines":7,"newStart":313,"newLines":7,"lines":[" Project"," Jobs"," ","- {#each $topStatsQuery.data.topProjectJobs as tp, i}","+ {#each topProjectJobs as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":368,"oldLines":10,"newStart":368,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-users\""," size={colWidthNodes * 0.75}"," sliceLabel=\"Nodes\"","- quantities={$topStatsQuery.data.topUserNodes.map(","+ quantities={topUserNodes.map("," (tu) => tu[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topUserNodes.map((tu) =>","+ entities={topUserNodes.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":384,"oldLines":7,"newStart":384,"newLines":7,"lines":[" User"," Nodes"," ","- {#each $topStatsQuery.data.topUserNodes as tu, i}","+ {#each topUserNodes as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":418,"oldLines":10,"newStart":418,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-projects\""," size={colWidthNodes * 0.75}"," sliceLabel={\"Nodes\"}","- quantities={$topStatsQuery.data.topProjectNodes.map(","+ quantities={topProjectNodes.map("," (tp) => tp[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topProjectNodes.map((tp) =>","+ entities={topProjectNodes.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":433,"oldLines":7,"newStart":433,"newLines":7,"lines":[" Project"," Nodes"," ","- {#each $topStatsQuery.data.topProjectNodes as tp, i}","+ {#each topProjectNodes as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":488,"oldLines":10,"newStart":488,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-accs-users\""," size={colWidthAccs * 0.75}"," sliceLabel=\"GPUs\"","- quantities={$topStatsQuery.data.topUserAccs.map(","+ quantities={topUserAccs.map("," (tu) => tu[\"totalAccs\"],"," )}","- entities={$topStatsQuery.data.topUserAccs.map((tu) =>","+ entities={topUserAccs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":504,"oldLines":7,"newStart":504,"newLines":7,"lines":[" User"," GPUs"," ","- {#each $topStatsQuery.data.topUserAccs as tu, i}","+ {#each topUserAccs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":538,"oldLines":10,"newStart":538,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-accs-projects\""," size={colWidthAccs * 0.75}"," sliceLabel={\"GPUs\"}","- quantities={$topStatsQuery.data.topProjectAccs.map(","+ quantities={topProjectAccs.map("," (tp) => tp[\"totalAccs\"],"," )}","- entities={$topStatsQuery.data.topProjectAccs.map((tp) =>","+ entities={topProjectAccs.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":553,"oldLines":7,"newStart":553,"newLines":7,"lines":[" Project"," GPUs"," ","- {#each $topStatsQuery.data.topProjectAccs as tp, i}","+ {#each topProjectAccs as tp, i}"," "," &1 | tail -20","description":"Build frontend","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1590,"cache_read_input_tokens":89176,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A2nfzZXwN8j6cgTWfZ","type":"assistant","uuid":"2e9f7512-1ee1-4623-9d3d-3edb8c5b4664","timestamp":"2026-03-13T13:27:09.819Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2e9f7512-1ee1-4623-9d3d-3edb8c5b4664","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016tRASuTsUjzf41JwZ7ZU75","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MA24omAMpEqrMntdBxhJyZ","name":"Bash","input":{"command":"go build ./... 2>&1","description":"Build Go backend","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1590,"cache_read_input_tokens":89176,"output_tokens":239,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1590},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1A2nfzZXwN8j6cgTWfZ","type":"assistant","uuid":"8a593b88-e5d3-447a-8b03-3a8a36540ff5","timestamp":"2026-03-13T13:27:10.608Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2e9f7512-1ee1-4623-9d3d-3edb8c5b4664","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019CMwMFkFANRe6LS8PuDuwh","type":"tool_result","content":"node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/dashpublic.js\u001b[22m in \u001b[1m3.6s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/config.entrypoint.js\u001b[22m → \u001b[1mpublic/build/config.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/config.js\u001b[22m in \u001b[1m2.7s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/logs.entrypoint.js\u001b[22m → \u001b[1mpublic/build/logs.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 35 more\n\u001b[32mcreated \u001b[1mpublic/build/logs.js\u001b[22m in \u001b[1m1.3s\u001b[22m\u001b[39m","is_error":false}]},"uuid":"430c55e4-d75b-4170-bc4c-d0396d5d5be2","timestamp":"2026-03-13T13:27:57.725Z","toolUseResult":{"stdout":"node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/dashpublic.js\u001b[22m in \u001b[1m3.6s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/config.entrypoint.js\u001b[22m → \u001b[1mpublic/build/config.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/config.js\u001b[22m in \u001b[1m2.7s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/logs.entrypoint.js\u001b[22m → \u001b[1mpublic/build/logs.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 35 more\n\u001b[32mcreated \u001b[1mpublic/build/logs.js\u001b[22m in 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Version bumped to 14. The `BuildWhereClause` now inlines the literal state value (`job.job_state = 'running'`) so SQLite matches the partial index instead of using a parameterized placeholder.\n\n2. **Request-scoped cache** — `stats_cache.go` provides a `statsGroupCache` injected per GraphQL operation via `AroundOperations` middleware. 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`$derived`."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":137,"cache_read_input_tokens":92043,"output_tokens":287,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":137},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1A7qkB8HuoEk6fsa4Xi","type":"assistant","uuid":"099804b7-9b06-4a50-a6cc-6cfaba7c63c2","timestamp":"2026-03-13T13:28:24.534Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"099804b7-9b06-4a50-a6cc-6cfaba7c63c2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: cmd/cc-backend/server.go\n\tmodified: go.mod\n\tmodified: internal/graph/schema.resolvers.go\n\tmodified: internal/repository/jobQuery.go\n\tmodified: internal/repository/migration.go\n\tmodified: internal/repository/stats.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"8c38acf0-5730-406e-9bcb-4569e2cc147c","timestamp":"2026-03-13T13:31:25.191Z","toolUseResult":{"stdout":"On branch hotfix\nYour branch is behind 'origin/hotfix' by 1 commit, and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: cmd/cc-backend/server.go\n\tmodified: go.mod\n\tmodified: internal/graph/schema.resolvers.go\n\tmodified: internal/repository/jobQuery.go\n\tmodified: internal/repository/migration.go\n\tmodified: internal/repository/stats.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"d9a9e730-dc4c-4f7a-bb76-ac63523c7115","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8c38acf0-5730-406e-9bcb-4569e2cc147c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EqVHditZ6T22Ah73pJhw7f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018XEdEYxNKn8aaiKuPimai3","name":"Bash","input":{"command":"git diff --stat","description":"Show diff summary"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":360,"cache_read_input_tokens":92180,"cache_creation":{"ephemeral_5m_input_tokens":360,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1AMao9ZqiKbKsrsxrYX","type":"assistant","uuid":"a14db320-857f-4476-8be0-3429a2a2939f","timestamp":"2026-03-13T13:31:25.639Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a14db320-857f-4476-8be0-3429a2a2939f","isSidechain":false,"promptId":"1531f999-3e8d-4bf7-bb85-4592b0d6791f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XEdEYxNKn8aaiKuPimai3","type":"tool_result","content":" cmd/cc-backend/server.go | 7 ++\n go.mod | 2 +-\n internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 deletions(-)","is_error":false}]},"uuid":"34def0fd-3190-440e-8478-b886c3b8ff2a","timestamp":"2026-03-13T13:31:25.694Z","toolUseResult":{"stdout":" cmd/cc-backend/server.go | 7 ++\n go.mod | 2 +-\n internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 deletions(-)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a14db320-857f-4476-8be0-3429a2a2939f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"34def0fd-3190-440e-8478-b886c3b8ff2a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EqVHditZ6T22Ah73pJhw7f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SgzwLdEGwQgUQYdgE1ro8Y","name":"Bash","input":{"command":"git log --oneline -5","description":"Show recent commits"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":360,"cache_read_input_tokens":92180,"output_tokens":256,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":360},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1AMao9ZqiKbKsrsxrYX","type":"assistant","uuid":"c7fff25a-0837-4973-a168-2375bff9a0f5","timestamp":"2026-03-13T13:31:26.169Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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\nEOF\n)\"","description":"Create commit"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":203,"cache_read_input_tokens":93467,"output_tokens":275,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":203},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1ANLE5P3emkTZC3jg6a","type":"assistant","uuid":"3f8e6f97-fccb-49b3-8769-2efe0534993e","timestamp":"2026-03-13T13:31:37.293Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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100644 internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n create mode 100644 internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3f8e6f97-fccb-49b3-8769-2efe0534993e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2ad46cb5-1626-42a3-99f1-4b5ac21e5c48","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011ABMfFCCtZkusEsK9CZjqt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LdKz7Sig4hCPQiKmSURdrD","name":"Bash","input":{"command":"git status","description":"Verify clean working 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clean","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6479ce8a-81ea-4194-8128-b17d135daaf6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"118b3b79-7abc-4393-adcb-d0f966fbd7fa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Axgq5BUABhHVRk6itPUtUE","type":"message","role":"assistant","content":[{"type":"text","text":"Committed as `d586fe4b`."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":553,"cache_read_input_tokens":93670,"output_tokens":13,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":553},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1APRhWkzgitwA1vXpZf","type":"assistant","uuid":"a34bd201-680c-4412-ab3d-e3dbe9c9ccab","timestamp":"2026-03-13T13:31:48.100Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a34bd201-680c-4412-ab3d-e3dbe9c9ccab","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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+{"type":"file-history-snapshot","messageId":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","snapshot":{"messageId":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":"39f0a8ec00eef836@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":"cccfd468ffeeb12d@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/stats_cache.go":{"backupFileName":"192476250d06317a@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v3","version":3,"backupTime":"2026-03-13T14:10:52.135Z"}},"timestamp":"2026-03-13T14:10:52.134Z"},"isSnapshotUpdate":false} +{"parentUuid":"c8a9689e-b6ab-473e-8908-bdcbcc4bb7d6","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":"Does it make sense to also inline the literal state value in other places?"},"uuid":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","timestamp":"2026-03-13T14:10:51.396Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LadQ1AxETvXziMrYBqj9ps","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nGood question. Let me explore where `job_state` is filtered with parameterized values across the codebase to see if there are other hot paths that would benefit."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":82126,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":82126,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DNSxjVjbYfyBxWUgBg","type":"assistant","uuid":"d5e13524-c651-4d20-b025-783abd83517c","timestamp":"2026-03-13T14:10:57.740Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d5e13524-c651-4d20-b025-783abd83517c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LadQ1AxETvXziMrYBqj9ps","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EDotFfP7XFHmDSwtCzpTYi","name":"Agent","input":{"description":"Find all job_state filter sites","subagent_type":"Explore","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":82126,"cache_read_input_tokens":14321,"output_tokens":364,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":82126},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DNSxjVjbYfyBxWUgBg","type":"assistant","uuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","timestamp":"2026-03-13T14:11:04.386Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"0452f0e0-bc7d-4e99-a6ef-5e905225bd95","timestamp":"2026-03-13T14:11:04.391Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0452f0e0-bc7d-4e99-a6ef-5e905225bd95","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files."}]},"uuid":"708853b8-ac7f-487a-aee8-1feebb810dae","timestamp":"2026-03-13T14:11:04.707Z"},"type":"agent_progress","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files.","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"d9698125-af00-4dd3-a1fa-2a66f5bb7e46","timestamp":"2026-03-13T14:11:04.707Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"188d4f7a-5686-49d2-bc3d-3fb00bddd033","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wp14PSnNiLjZX1qTuT4YyH","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→\t\"golang.org/x/sync/errgroup\"\n 59→)\n 60→\n 61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 64→var groupBy2column = map[model.Aggregate]string{\n 65→\tmodel.AggregateUser: \"job.hpc_user\",\n 66→\tmodel.AggregateProject: \"job.project\",\n 67→\tmodel.AggregateCluster: \"job.cluster\",\n 68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 69→}\n 70→\n 71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 73→// Column names match the AS aliases used in buildStatsQuery.\n 74→var sortBy2column = map[model.SortByAggregate]string{\n 75→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 76→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 77→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 78→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 80→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 82→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 83→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 84→}\n 85→\n 86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 87→//\n 88→// Parameters:\n 89→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 90→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 91→// - col: Column name to GROUP BY; empty string for total count without grouping\n 92→//\n 93→// Returns a SelectBuilder that produces either:\n 94→// - Single count: COUNT(job.id) when col is empty\n 95→// - Grouped counts: col, COUNT(job.id) when col is specified\n 96→//\n 97→// The kind parameter enables counting specific job categories:\n 98→// - \"running\": Only jobs with job_state = 'running'\n 99→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 100→// - empty: All jobs matching filters\n 101→func (r *JobRepository) buildCountQuery(\n 102→\tfilter []*model.JobFilter,\n 103→\tkind string,\n 104→\tcol string,\n 105→) sq.SelectBuilder {\n 106→\tvar query sq.SelectBuilder\n 107→\n 108→\tif col != \"\" {\n 109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 110→\t} else {\n 111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 112→\t}\n 113→\n 114→\tswitch kind {\n 115→\tcase \"running\":\n 116→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 117→\tcase \"short\":\n 118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 119→\t}\n 120→\n 121→\tfor _, f := range filter {\n 122→\t\tquery = BuildWhereClause(f, query)\n 123→\t}\n 124→\n 125→\treturn query\n 126→}\n 127→\n 128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 130→//\n 131→// Parameters:\n 132→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 133→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 134→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 135→// - reqFields: Set of requested field names; nil means compute all fields\n 136→func (r *JobRepository) buildStatsQuery(\n 137→\tfilter []*model.JobFilter,\n 138→\tcol string,\n 139→\tshortThreshold int,\n 140→\treqFields map[string]bool,\n 141→) sq.SelectBuilder {\n 142→\tnow := time.Now().Unix()\n 143→\n 144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 145→\tneed := func(field string) bool {\n 146→\t\treturn reqFields == nil || reqFields[field]\n 147→\t}\n 148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 149→\n 150→\t// Build column list\n 151→\tcolumns := make([]string, 0, 14)\n 152→\n 153→\tif col != \"\" {\n 154→\t\tcolumns = append(columns, col)\n 155→\t}\n 156→\n 157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 158→\n 159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 161→\t} else {\n 162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 163→\t}\n 164→\n 165→\tif need(\"totalWalltime\") {\n 166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 167→\t} else {\n 168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 169→\t}\n 170→\n 171→\tif need(\"totalNodes\") {\n 172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 173→\t} else {\n 174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 175→\t}\n 176→\n 177→\tif need(\"totalNodeHours\") {\n 178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 179→\t} else {\n 180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 181→\t}\n 182→\n 183→\tif need(\"totalCores\") {\n 184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 185→\t} else {\n 186→\t\tcolumns = append(columns, \"0 as totalCores\")\n 187→\t}\n 188→\n 189→\tif need(\"totalCoreHours\") {\n 190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 191→\t} else {\n 192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 193→\t}\n 194→\n 195→\tif need(\"totalAccs\") {\n 196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 197→\t} else {\n 198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 199→\t}\n 200→\n 201→\tif need(\"totalAccHours\") {\n 202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 203→\t} else {\n 204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 205→\t}\n 206→\n 207→\tif need(\"runningJobs\") {\n 208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 209→\t} else {\n 210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 211→\t}\n 212→\n 213→\tif need(\"shortJobs\") {\n 214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 215→\t} else {\n 216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 217→\t}\n 218→\n 219→\tquery := sq.Select(columns...).From(\"job\")\n 220→\tif col != \"\" {\n 221→\t\tquery = query.GroupBy(col)\n 222→\t}\n 223→\n 224→\tfor _, f := range filter {\n 225→\t\tquery = BuildWhereClause(f, query)\n 226→\t}\n 227→\n 228→\treturn query\n 229→}\n 230→\n 231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 234→func (r *JobRepository) JobsStatsGrouped(\n 235→\tctx context.Context,\n 236→\tfilter []*model.JobFilter,\n 237→\tpage *model.PageRequest,\n 238→\tsortBy *model.SortByAggregate,\n 239→\tgroupBy *model.Aggregate,\n 240→\treqFields map[string]bool,\n 241→) ([]*model.JobsStatistics, error) {\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\treturn stats, nil\n 329→}\n 330→\n 331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 332→//\n 333→// This method provides a single aggregate view of job metrics, useful for dashboard\n 334→// summaries and overall system utilization reports.\n 335→//\n 336→// Parameters:\n 337→// - ctx: Context for security checks and cancellation\n 338→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 339→//\n 340→// Returns a single-element slice containing aggregate statistics:\n 341→// - totalJobs, totalUsers, totalWalltime\n 342→// - totalNodeHours, totalCoreHours, totalAccHours\n 343→//\n 344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 345→// Security checks are applied via SecurityCheck to respect user access levels.\n 346→func (r *JobRepository) JobsStats(\n 347→\tctx context.Context,\n 348→\tfilter []*model.JobFilter,\n 349→\treqFields map[string]bool,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 388→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 389→\t\t\t})\n 390→\t}\n 391→\n 392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 393→\treturn stats, nil\n 394→}\n 395→\n 396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 397→// Returns 0.0 if the metric is not found or statType is invalid.\n 398→//\n 399→// Parameters:\n 400→// - job: Job struct with populated Statistics field\n 401→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 402→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 403→//\n 404→// Returns the requested statistic value or 0.0 if not found.\n 405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 406→\tif stats, ok := job.Statistics[metric]; ok {\n 407→\t\tswitch statType {\n 408→\t\tcase \"avg\":\n 409→\t\t\treturn stats.Avg\n 410→\t\tcase \"max\":\n 411→\t\t\treturn stats.Max\n 412→\t\tcase \"min\":\n 413→\t\t\treturn stats.Min\n 414→\t\tdefault:\n 415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 416→\t\t}\n 417→\t}\n 418→\n 419→\treturn 0.0\n 420→}\n 421→\n 422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 423→//\n 424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 425→// avoiding the overhead of calculating walltime and resource usage metrics.\n 426→//\n 427→// Parameters:\n 428→// - ctx: Context for security checks\n 429→// - filter: Filters to apply\n 430→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 431→//\n 432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 433→func (r *JobRepository) JobCountGrouped(\n 434→\tctx context.Context,\n 435→\tfilter []*model.JobFilter,\n 436→\tgroupBy *model.Aggregate,\n 437→) ([]*model.JobsStatistics, error) {\n 438→\tstart := time.Now()\n 439→\tcol := groupBy2column[*groupBy]\n 440→\tquery := r.buildCountQuery(filter, \"\", col)\n 441→\tquery, err := SecurityCheck(ctx, query)\n 442→\tif err != nil {\n 443→\t\treturn nil, err\n 444→\t}\n 445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 446→\tif err != nil {\n 447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 448→\t\treturn nil, err\n 449→\t}\n 450→\tdefer rows.Close()\n 451→\n 452→\tstats := make([]*model.JobsStatistics, 0, 100)\n 453→\n 454→\tfor rows.Next() {\n 455→\t\tvar id sql.NullString\n 456→\t\tvar cnt sql.NullInt64\n 457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 459→\t\t\treturn nil, err\n 460→\t\t}\n 461→\t\tif id.Valid {\n 462→\t\t\tstats = append(stats,\n 463→\t\t\t\t&model.JobsStatistics{\n 464→\t\t\t\t\tID: id.String,\n 465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 466→\t\t\t\t})\n 467→\t\t}\n 468→\t}\n 469→\n 470→\tif err := rows.Err(); err != nil {\n 471→\t\treturn nil, err\n 472→\t}\n 473→\n 474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 475→\treturn stats, nil\n 476→}\n 477→\n 478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 479→//\n 480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 482→//\n 483→// Parameters:\n 484→// - ctx: Context for security checks\n 485→// - filter: Filters to apply\n 486→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 487→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 488→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 489→//\n 490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 491→// Groups without matching jobs will have 0 for the added field.\n 492→func (r *JobRepository) AddJobCountGrouped(\n 493→\tctx context.Context,\n 494→\tfilter []*model.JobFilter,\n 495→\tgroupBy *model.Aggregate,\n 496→\tstats []*model.JobsStatistics,\n 497→\tkind string,\n 498→) ([]*model.JobsStatistics, error) {\n 499→\tstart := time.Now()\n 500→\tcol := groupBy2column[*groupBy]\n 501→\tquery := r.buildCountQuery(filter, kind, col)\n 502→\tquery, err := SecurityCheck(ctx, query)\n 503→\tif err != nil {\n 504→\t\treturn nil, err\n 505→\t}\n 506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 507→\tif err != nil {\n 508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 509→\t\treturn nil, err\n 510→\t}\n 511→\tdefer rows.Close()\n 512→\n 513→\tcounts := make(map[string]int)\n 514→\n 515→\tfor rows.Next() {\n 516→\t\tvar id sql.NullString\n 517→\t\tvar cnt sql.NullInt64\n 518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\tif id.Valid {\n 523→\t\t\tcounts[id.String] = int(cnt.Int64)\n 524→\t\t}\n 525→\t}\n 526→\n 527→\tif err := rows.Err(); err != nil {\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tswitch kind {\n 532→\tcase \"running\":\n 533→\t\tfor _, s := range stats {\n 534→\t\t\ts.RunningJobs = counts[s.ID]\n 535→\t\t}\n 536→\tcase \"short\":\n 537→\t\tfor _, s := range stats {\n 538→\t\t\ts.ShortJobs = counts[s.ID]\n 539→\t\t}\n 540→\t}\n 541→\n 542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 543→\treturn stats, nil\n 544→}\n 545→\n 546→// AddJobCount augments existing overall statistics with additional job counts by category.\n 547→//\n 548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 549→// to all statistics entries (typically just one).\n 550→//\n 551→// Parameters:\n 552→// - ctx: Context for security checks\n 553→// - filter: Filters to apply\n 554→// - stats: Existing statistics to augment (modified in-place)\n 555→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 556→//\n 557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 558→func (r *JobRepository) AddJobCount(\n 559→\tctx context.Context,\n 560→\tfilter []*model.JobFilter,\n 561→\tstats []*model.JobsStatistics,\n 562→\tkind string,\n 563→) ([]*model.JobsStatistics, error) {\n 564→\tstart := time.Now()\n 565→\tquery := r.buildCountQuery(filter, kind, \"\")\n 566→\tquery, err := SecurityCheck(ctx, query)\n 567→\tif err != nil {\n 568→\t\treturn nil, err\n 569→\t}\n 570→\tvar cnt sql.NullInt64\n 571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 573→\t\treturn nil, err\n 574→\t}\n 575→\n 576→\tcount := int(cnt.Int64)\n 577→\n 578→\tswitch kind {\n 579→\tcase \"running\":\n 580→\t\tfor _, s := range stats {\n 581→\t\t\ts.RunningJobs = count\n 582→\t\t}\n 583→\tcase \"short\":\n 584→\t\tfor _, s := range stats {\n 585→\t\t\ts.ShortJobs = count\n 586→\t\t}\n 587→\t}\n 588→\n 589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 590→\treturn stats, nil\n 591→}\n 592→\n 593→// AddHistograms augments statistics with distribution histograms for job properties.\n 594→//\n 595→// Generates histogram data for visualization of job duration, node count, core count,\n 596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 597→// on the requested resolution.\n 598→//\n 599→// Parameters:\n 600→// - ctx: Context for security checks\n 601→// - filter: Filters to apply to jobs included in histograms\n 602→// - stat: Statistics struct to augment (modified in-place)\n 603→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 604→//\n 605→// Populates these fields in stat:\n 606→// - HistDuration: Job duration distribution (zero-padded bins)\n 607→// - HistNumNodes: Node count distribution\n 608→// - HistNumCores: Core (hwthread) count distribution\n 609→// - HistNumAccs: Accelerator count distribution\n 610→//\n 611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 613→func (r *JobRepository) AddHistograms(\n 614→\tctx context.Context,\n 615→\tfilter []*model.JobFilter,\n 616→\tstat *model.JobsStatistics,\n 617→\tdurationBins *string,\n 618→) (*model.JobsStatistics, error) {\n 619→\tstart := time.Now()\n 620→\n 621→\tvar targetBinCount int\n 622→\tvar targetBinSize int\n 623→\tswitch *durationBins {\n 624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 625→\t\ttargetBinCount = 60\n 626→\t\ttargetBinSize = 60\n 627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 628→\t\ttargetBinCount = 72\n 629→\t\ttargetBinSize = 600\n 630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 631→\t\ttargetBinCount = 48\n 632→\t\ttargetBinSize = 3600\n 633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 634→\t\ttargetBinCount = 12\n 635→\t\ttargetBinSize = 21600\n 636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 637→\t\ttargetBinCount = 14\n 638→\t\ttargetBinSize = 43200\n 639→\tdefault: // 24h\n 640→\t\ttargetBinCount = 24\n 641→\t\ttargetBinSize = 3600\n 642→\t}\n 643→\n 644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n 645→\tg, gctx := errgroup.WithContext(ctx)\n 646→\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\n 649→\tg.Go(func() error {\n 650→\t\tvar err error\n 651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n 652→\t\tif err != nil {\n 653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 654→\t\t}\n 655→\t\treturn err\n 656→\t})\n 657→\tg.Go(func() error {\n 658→\t\tvar err error\n 659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n 660→\t\tif err != nil {\n 661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 662→\t\t}\n 663→\t\treturn err\n 664→\t})\n 665→\tg.Go(func() error {\n 666→\t\tvar err error\n 667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n 668→\t\tif err != nil {\n 669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 670→\t\t}\n 671→\t\treturn err\n 672→\t})\n 673→\tg.Go(func() error {\n 674→\t\tvar err error\n 675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n 676→\t\tif err != nil {\n 677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 678→\t\t}\n 679→\t\treturn err\n 680→\t})\n 681→\n 682→\tif err := g.Wait(); err != nil {\n 683→\t\treturn nil, err\n 684→\t}\n 685→\n 686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 687→\treturn stat, nil\n 688→}\n 689→\n 690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 691→//\n 692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 694→// use footprint data from database.\n 695→//\n 696→// Parameters:\n 697→// - ctx: Context for security checks\n 698→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 699→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 700→// - stat: Statistics struct to augment (modified in-place)\n 701→// - targetBinCount: Number of histogram bins (default: 10)\n 702→//\n 703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 704→//\n 705→// Binning algorithm:\n 706→// - Values normalized to metric's peak value from cluster configuration\n 707→// - Bins evenly distributed from 0 to peak\n 708→// - Pre-initialized with zeros for consistent visualization\n 709→//\n 710→// Limitations:\n 711→// - Running jobs: Limited to 5000 jobs for performance\n 712→// - Requires valid cluster configuration with metric peak values\n 713→// - Uses footprint statistic (avg/max/min) configured per metric\n 714→func (r *JobRepository) AddMetricHistograms(\n 715→\tctx context.Context,\n 716→\tfilter []*model.JobFilter,\n 717→\tmetrics []string,\n 718→\tstat *model.JobsStatistics,\n 719→\ttargetBinCount *int,\n 720→) (*model.JobsStatistics, error) {\n 721→\tstart := time.Now()\n 722→\n 723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 724→\tfor _, f := range filter {\n 725→\t\tif f.State != nil {\n 726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\t\t\t\treturn stat, nil\n 730→\t\t\t}\n 731→\t\t}\n 732→\t}\n 733→\n 734→\t// All other cases: Query and make bins in sqlite directly\n 735→\tfor _, m := range metrics {\n 736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 737→\t\tif err != nil {\n 738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 739→\t\t\tcontinue\n 740→\t\t}\n 741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 742→\t}\n 743→\n 744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 745→\treturn stat, nil\n 746→}\n 747→\n 748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 749→//\n 750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 752→//\n 753→// Parameters:\n 754→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 755→// - filters: Job filters to apply\n 756→//\n 757→// Returns histogram points with Value (from column) and Count (number of jobs).\n 758→func (r *JobRepository) jobsStatisticsHistogram(\n 759→\tctx context.Context,\n 760→\tvalue string,\n 761→\tfilters []*model.JobFilter,\n 762→) ([]*model.HistoPoint, error) {\n 763→\tstart := time.Now()\n 764→\tquery, qerr := SecurityCheck(ctx,\n 765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 766→\n 767→\tif qerr != nil {\n 768→\t\treturn nil, qerr\n 769→\t}\n 770→\n 771→\tfor _, f := range filters {\n 772→\t\tquery = BuildWhereClause(f, query)\n 773→\t}\n 774→\n 775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 776→\tif err != nil {\n 777→\t\tcclog.Error(\"Error while running query\")\n 778→\t\treturn nil, err\n 779→\t}\n 780→\tdefer rows.Close()\n 781→\n 782→\tpoints := make([]*model.HistoPoint, 0)\n 783→\t// is it possible to introduce zero values here? requires info about bincount\n 784→\tfor rows.Next() {\n 785→\t\tpoint := model.HistoPoint{}\n 786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 788→\t\t\treturn nil, err\n 789→\t\t}\n 790→\n 791→\t\tpoints = append(points, &point)\n 792→\t}\n 793→\n 794→\tif err := rows.Err(); err != nil {\n 795→\t\treturn nil, err\n 796→\t}\n 797→\n 798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 799→\treturn points, nil\n 800→}\n 801→\n 802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 803→//\n 804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 805→// histograms which only return bins with data. The value parameter should compute\n 806→// the bin number from job duration.\n 807→//\n 808→// Parameters:\n 809→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 810→// - filters: Job filters to apply\n 811→// - binSizeSeconds: Width of each bin in seconds\n 812→// - targetBinCount: Number of bins to pre-initialize\n 813→//\n 814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 816→//\n 817→// Algorithm:\n 818→// 1. Pre-initialize targetBinCount bins with zero counts\n 819→// 2. Query database for actual counts per bin\n 820→// 3. Match query results to pre-initialized bins by value\n 821→// 4. Bins without matches remain at zero\n 822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 823→\tctx context.Context,\n 824→\tvalue string,\n 825→\tfilters []*model.JobFilter,\n 826→\tbinSizeSeconds int,\n 827→\ttargetBinCount *int,\n 828→) ([]*model.HistoPoint, error) {\n 829→\tstart := time.Now()\n 830→\tquery, qerr := SecurityCheck(ctx,\n 831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 832→\n 833→\tif qerr != nil {\n 834→\t\treturn nil, qerr\n 835→\t}\n 836→\n 837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 840→\tfor i := 1; i <= *targetBinCount; i++ {\n 841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 842→\t\tpoints = append(points, &point)\n 843→\t}\n 844→\n 845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 846→\tbinMap := make(map[int]int, len(points))\n 847→\tfor i, p := range points {\n 848→\t\tbinMap[p.Value] = i\n 849→\t}\n 850→\n 851→\tfor _, f := range filters {\n 852→\t\tquery = BuildWhereClause(f, query)\n 853→\t}\n 854→\n 855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 856→\tif err != nil {\n 857→\t\tcclog.Error(\"Error while running query\")\n 858→\t\treturn nil, err\n 859→\t}\n 860→\tdefer rows.Close()\n 861→\n 862→\t// Match query results to pre-initialized bins using map lookup.\n 863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 864→\tfor rows.Next() {\n 865→\t\tpoint := model.HistoPoint{}\n 866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 868→\t\t\treturn nil, err\n 869→\t\t}\n 870→\n 871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 872→\t\t\tpoints[idx].Count = point.Count\n 873→\t\t}\n 874→\t}\n 875→\n 876→\tif err := rows.Err(); err != nil {\n 877→\t\treturn nil, err\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 881→\treturn points, nil\n 882→}\n 883→\n 884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 885→//\n 886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 888→// and computing bin assignments in SQL.\n 889→//\n 890→// Parameters:\n 891→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 892→// - filters: Job filters to apply\n 893→// - bins: Number of bins to generate\n 894→//\n 895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 896→//\n 897→// Algorithm:\n 898→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 899→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 900→// 3. Pre-initialize bins with min/max ranges based on peak value\n 901→// 4. Query database for counts per bin\n 902→// 5. Match results to pre-initialized bins\n 903→//\n 904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 905→// peak by 0.999999999 to avoid creating an extra bin.\n 906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 907→\tctx context.Context,\n 908→\tmetric string,\n 909→\tfilters []*model.JobFilter,\n 910→\tbins *int,\n 911→) (*model.MetricHistoPoints, error) {\n 912→\t// Peak value defines the upper bound for binning: values are distributed across\n 913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 914→\t// scan all clusters to find the maximum peak value.\n 915→\tvar metricConfig *schema.MetricConfig\n 916→\tvar peak float64\n 917→\tvar unit string\n 918→\tvar footprintStat string\n 919→\n 920→\t// Try to get metric config from filtered cluster\n 921→\tfor _, f := range filters {\n 922→\t\tif f.Cluster != nil {\n 923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 924→\t\t\tpeak = metricConfig.Peak\n 925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 926→\t\t\tfootprintStat = metricConfig.Footprint\n 927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 932→\t// This ensures histogram can accommodate all possible values\n 933→\tif peak == 0.0 {\n 934→\t\tfor _, c := range archive.Clusters {\n 935→\t\t\tfor _, m := range c.MetricConfig {\n 936→\t\t\t\tif m.Name == metric {\n 937→\t\t\t\t\tif m.Peak > peak {\n 938→\t\t\t\t\t\tpeak = m.Peak\n 939→\t\t\t\t\t}\n 940→\t\t\t\t\tif unit == \"\" {\n 941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 942→\t\t\t\t\t}\n 943→\t\t\t\t\tif footprintStat == \"\" {\n 944→\t\t\t\t\t\tfootprintStat = m.Footprint\n 945→\t\t\t\t\t}\n 946→\t\t\t\t}\n 947→\t\t\t}\n 948→\t\t}\n 949→\t}\n 950→\n 951→\t// Construct SQL histogram bins using normalized values.\n 952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 953→\tstart := time.Now()\n 954→\n 955→\t// Bin calculation formula:\n 956→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 957→\t// Special case: value == peak would create bin N+1, so we test for equality\n 958→\t// and multiply peak by 0.999999999 to force it into bin N.\n 959→\tbinQuery := fmt.Sprintf(`CAST(\n 960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 961→\t\t* %v as INTEGER )`,\n 962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 963→\n 964→\tmainQuery := sq.Select(\n 965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 966→\t\t`count(*) as count`,\n 967→\t).From(\"job\").Where(\n 968→\t\t\"JSON_VALID(footprint)\",\n 969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 970→\n 971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 972→\tif qerr != nil {\n 973→\t\treturn nil, qerr\n 974→\t}\n 975→\n 976→\tfor _, f := range filters {\n 977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 978→\t}\n 979→\n 980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 981→\n 982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 983→\tif err != nil {\n 984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 985→\t\treturn nil, err\n 986→\t}\n 987→\tdefer rows.Close()\n 988→\n 989→\t// Pre-initialize bins with calculated min/max ranges.\n 990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 992→\tbinStep := int(peak) / *bins\n 993→\tfor i := 1; i <= *bins; i++ {\n 994→\t\tbinMin := (binStep * (i - 1))\n 995→\t\tbinMax := (binStep * i)\n 996→\t\tidx := i\n 997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 998→\t\tpoints = append(points, &epoint)\n 999→\t}\n 1000→\n 1001→\t// Build a map from bin number to slice index for O(1) lookup.\n 1002→\tbinMap := make(map[int]int, len(points))\n 1003→\tfor i, p := range points {\n 1004→\t\tif p.Bin != nil {\n 1005→\t\t\tbinMap[*p.Bin] = i\n 1006→\t\t}\n 1007→\t}\n 1008→\n 1009→\t// Match query results to pre-initialized bins using map lookup.\n 1010→\tfor rows.Next() {\n 1011→\t\trpoint := model.MetricHistoPoint{}\n 1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1014→\t\t\treturn nil, err\n 1015→\t\t}\n 1016→\n 1017→\t\tif rpoint.Bin != nil {\n 1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1020→\t\t\t}\n 1021→\t\t}\n 1022→\t}\n 1023→\n 1024→\tif err := rows.Err(); err != nil {\n 1025→\t\treturn nil, err\n 1026→\t}\n 1027→\n 1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1029→\n 1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1031→\treturn &result, nil\n 1032→}\n 1033→\n 1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1035→//\n 1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1037→// fetching current metric averages from the metric backend (via metricdispatch).\n 1038→//\n 1039→// Parameters:\n 1040→// - metrics: List of metric names\n 1041→// - filters: Job filters (should filter to running jobs only)\n 1042→// - bins: Number of histogram bins\n 1043→//\n 1044→// Returns slice of MetricHistoPoints, one per metric.\n 1045→//\n 1046→// Limitations:\n 1047→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1048→// - Requires metric backend availability\n 1049→// - Bins based on metric peak values from cluster configuration\n 1050→//\n 1051→// Algorithm:\n 1052→// 1. Query first 5001 jobs to check count limit\n 1053→// 2. Load metric averages for all jobs via metricdispatch\n 1054→// 3. For each metric, create bins based on peak value\n 1055→// 4. Iterate averages and count jobs per bin\n 1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1057→\tctx context.Context,\n 1058→\tmetrics []string,\n 1059→\tfilters []*model.JobFilter,\n 1060→\tbins *int,\n 1061→) []*model.MetricHistoPoints {\n 1062→\t// Get Jobs\n 1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1064→\tif err != nil {\n 1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1066→\t\treturn nil\n 1067→\t}\n 1068→\tif len(jobs) > 5000 {\n 1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1070→\t\treturn nil\n 1071→\t}\n 1072→\n 1073→\t// Get AVGs from metric repo\n 1074→\tavgs := make([][]schema.Float, len(metrics))\n 1075→\tfor i := range avgs {\n 1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1077→\t}\n 1078→\n 1079→\tfor _, job := range jobs {\n 1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1081→\t\t\tcontinue\n 1082→\t\t}\n 1083→\n 1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1086→\t\t\treturn nil\n 1087→\t\t}\n 1088→\t}\n 1089→\n 1090→\t// Iterate metrics to fill endresult\n 1091→\tdata := make([]*model.MetricHistoPoints, 0)\n 1092→\tfor idx, metric := range metrics {\n 1093→\t\t// Get specific Peak or largest Peak\n 1094→\t\tvar metricConfig *schema.MetricConfig\n 1095→\t\tvar peak float64\n 1096→\t\tvar unit string\n 1097→\n 1098→\t\tfor _, f := range filters {\n 1099→\t\t\tif f.Cluster != nil {\n 1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1101→\t\t\t\tpeak = metricConfig.Peak\n 1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1103→\t\t\t}\n 1104→\t\t}\n 1105→\n 1106→\t\tif peak == 0.0 {\n 1107→\t\t\tfor _, c := range archive.Clusters {\n 1108→\t\t\t\tfor _, m := range c.MetricConfig {\n 1109→\t\t\t\t\tif m.Name == metric {\n 1110→\t\t\t\t\t\tif m.Peak > peak {\n 1111→\t\t\t\t\t\t\tpeak = m.Peak\n 1112→\t\t\t\t\t\t}\n 1113→\t\t\t\t\t\tif unit == \"\" {\n 1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1115→\t\t\t\t\t\t}\n 1116→\t\t\t\t\t}\n 1117→\t\t\t\t}\n 1118→\t\t\t}\n 1119→\t\t}\n 1120→\n 1121→\t\t// Make and fill bins\n 1122→\t\tpeakBin := int(peak) / *bins\n 1123→\n 1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1125→\t\tfor b := 0; b < *bins; b++ {\n 1126→\t\t\tcount := 0\n 1127→\t\t\tbindex := b + 1\n 1128→\t\t\tbmin := peakBin * b\n 1129→\t\t\tbmax := peakBin * (b + 1)\n 1130→\n 1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1132→\t\t\tfor _, val := range avgs[idx] {\n 1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1134→\t\t\t\t\tcount += 1\n 1135→\t\t\t\t}\n 1136→\t\t\t}\n 1137→\n 1138→\t\t\t// Append Bin to Metric Result Array\n 1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1140→\t\t\tpoints = append(points, &point)\n 1141→\t\t}\n 1142→\n 1143→\t\t// Append Metric Result Array to final results array\n 1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1145→\t\tdata = append(data, &result)\n 1146→\t}\n 1147→\n 1148→\treturn data\n 1149→}\n 1150→"}]},"uuid":"dd0b639f-6949-4db5-855d-6824ea0f9458","timestamp":"2026-03-13T14:11:09.514Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"5e272231-8f96-456b-843f-3ea00519dfbf","timestamp":"2026-03-13T14:11:09.575Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5e272231-8f96-456b-843f-3ea00519dfbf","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WFwXZph4GrZ6BiX1xQZmYK","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tif len(filter.State) == 1 {\n 201→\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n 202→\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n 203→\t\t\tsingleStat := string(filter.State[0])\n 204→\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n 205→\t\t} else {\n 206→\t\t\tstates := make([]string, len(filter.State))\n 207→\t\t\tfor i, val := range filter.State {\n 208→\t\t\t\tstates[i] = string(val)\n 209→\t\t\t}\n 210→\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 211→\t\t}\n 212→\t}\n 213→\tif filter.Shared != nil {\n 214→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 215→\t}\n 216→\tif filter.Project != nil {\n 217→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 218→\t}\n 219→\tif filter.User != nil {\n 220→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 221→\t}\n 222→\tif filter.NumNodes != nil {\n 223→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 224→\t}\n 225→\tif filter.NumAccelerators != nil {\n 226→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 227→\t}\n 228→\tif filter.NumHWThreads != nil {\n 229→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 230→\t}\n 231→\tif filter.ArrayJobID != nil {\n 232→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 233→\t}\n 234→\tif filter.StartTime != nil {\n 235→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 236→\t}\n 237→\tif filter.Duration != nil {\n 238→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 239→\t}\n 240→\tif filter.Energy != nil {\n 241→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 242→\t}\n 243→\t// Indices on Tag Table\n 244→\tif filter.Tags != nil {\n 245→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 246→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 247→\t}\n 248→\t// No explicit Indices\n 249→\tif filter.JobID != nil {\n 250→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 251→\t}\n 252→\t// Queries Within JSONs\n 253→\tif filter.MetricStats != nil {\n 254→\t\tfor _, ms := range filter.MetricStats {\n 255→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 256→\t\t}\n 257→\t}\n 258→\tif filter.Node != nil {\n 259→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 260→\t}\n 261→\tif filter.JobName != nil {\n 262→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 263→\t}\n 264→\tif filter.Schedule != nil {\n 265→\t\tinteractiveJobname := \"interactive\"\n 266→\t\tswitch *filter.Schedule {\n 267→\t\tcase \"interactive\":\n 268→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 269→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 270→\t\tcase \"batch\":\n 271→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 272→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 273→\t\t}\n 274→\t}\n 275→\n 276→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 277→\tif filter.MinRunningFor != nil {\n 278→\t\tnow := time.Now().Unix()\n 279→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 280→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 281→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 282→\t}\n 283→\treturn query\n 284→}\n 285→\n 286→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 287→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 288→\tif cond.From != 1 && cond.To != 0 {\n 289→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 290→\t} else if cond.From != 1 && cond.To == 0 {\n 291→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 292→\t} else if cond.From == 1 && cond.To != 0 {\n 293→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 294→\t} else {\n 295→\t\treturn query\n 296→\t}\n 297→}\n 298→\n 299→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 300→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 301→\tif cond.From != 1.0 && cond.To != 0.0 {\n 302→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 303→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 304→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 305→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 306→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 307→\t} else {\n 308→\t\treturn query\n 309→\t}\n 310→}\n 311→\n 312→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 313→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 314→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 315→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 316→\tif cond.From != nil && cond.To != nil {\n 317→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 318→\t} else if cond.From != nil {\n 319→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 320→\t} else if cond.To != nil {\n 321→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 322→\t} else if cond.Range != \"\" {\n 323→\t\tnow := time.Now().Unix()\n 324→\t\tvar then int64\n 325→\t\tswitch cond.Range {\n 326→\t\tcase \"last6h\":\n 327→\t\t\tthen = now - (60 * 60 * 6)\n 328→\t\tcase \"last24h\":\n 329→\t\t\tthen = now - (60 * 60 * 24)\n 330→\t\tcase \"last7d\":\n 331→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 332→\t\tcase \"last30d\":\n 333→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 334→\t\tdefault:\n 335→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 336→\t\t\treturn query\n 337→\t\t}\n 338→\t\treturn query.Where(field+\" >= ?\", then)\n 339→\t} else {\n 340→\t\treturn query\n 341→\t}\n 342→}\n 343→\n 344→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 345→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 346→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 347→\tif cond.From != 1.0 && cond.To != 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 349→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 350→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 351→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 352→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 353→\t} else {\n 354→\t\treturn query\n 355→\t}\n 356→}\n 357→\n 358→// buildStringCondition creates filters for string fields supporting equality,\n 359→// inequality, prefix, suffix, substring, and IN list matching.\n 360→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 361→\tif cond.Eq != nil {\n 362→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 363→\t}\n 364→\tif cond.Neq != nil {\n 365→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 366→\t}\n 367→\tif cond.StartsWith != nil {\n 368→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 369→\t}\n 370→\tif cond.EndsWith != nil {\n 371→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 372→\t}\n 373→\tif cond.Contains != nil {\n 374→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 375→\t}\n 376→\tif cond.In != nil {\n 377→\t\tqueryElements := make([]string, len(cond.In))\n 378→\t\tcopy(queryElements, cond.In)\n 379→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 380→\t}\n 381→\treturn query\n 382→}\n 383→\n 384→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 385→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 386→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 387→\tif cond.Eq != nil {\n 388→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 389→\t}\n 390→\tif cond.Neq != nil {\n 391→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 392→\t}\n 393→\tif cond.StartsWith != nil {\n 394→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 395→\t}\n 396→\tif cond.EndsWith != nil {\n 397→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 398→\t}\n 399→\tif cond.Contains != nil {\n 400→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 401→\t}\n 402→\treturn query\n 403→}\n 404→\n 405→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 406→// Uses json_each to search within array elements.\n 407→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 408→\tquery = query.Where(\"JSON_VALID(resources)\")\n 409→\tif cond.Eq != nil {\n 410→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 411→\t}\n 412→\tif cond.Neq != nil { // Currently Unused\n 413→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 414→\t}\n 415→\tif cond.StartsWith != nil { // Currently Unused\n 416→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 417→\t}\n 418→\tif cond.EndsWith != nil { // Currently Unused\n 419→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 420→\t}\n 421→\tif cond.Contains != nil {\n 422→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 423→\t}\n 424→\treturn query\n 425→}\n 426→\n 427→var (\n 428→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 429→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 430→)\n 431→\n 432→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 433→// Includes security checks to prevent SQL injection attempts.\n 434→// Panics if potentially dangerous characters are detected.\n 435→func toSnakeCase(str string) string {\n 436→\tfor _, c := range str {\n 437→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 438→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 439→\t\t}\n 440→\t}\n 441→\n 442→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 443→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 444→\treturn strings.ToLower(snake)\n 445→}\n 446→"}]},"uuid":"b51ae835-87b1-4eb2-a538-fccddaec12df","timestamp":"2026-03-13T14:11:09.347Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"016af23b-9293-4b33-81b2-287a8e5b408f","timestamp":"2026-03-13T14:11:09.576Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"016af23b-9293-4b33-81b2-287a8e5b408f","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:09.581Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Fhfb93Fhobxx5SVNqmGBrG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X9F3YaGF9o8Ujnkz4pWCH9","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":869,"cache_read_input_tokens":17392,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DPZA5cvSxMGtyDmgvH","uuid":"115bca31-4068-41e9-b9a4-5d041961dccd"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"939a2696-b97a-4b6a-abf9-d5285b66653a","timestamp":"2026-03-13T14:11:09.581Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"939a2696-b97a-4b6a-abf9-d5285b66653a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X9F3YaGF9o8Ujnkz4pWCH9","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/889ef150-c6ca-4f35-81e5-c19dc95fe399/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"17f0f64f-0891-48a3-94b8-7930d3ed96fb","timestamp":"2026-03-13T14:11:09.796Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"5c9114de-0408-440c-80b8-a10a3384e92c","timestamp":"2026-03-13T14:11:09.799Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5c9114de-0408-440c-80b8-a10a3384e92c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:09.799Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Fhfb93Fhobxx5SVNqmGBrG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019zZLoPC9GPMR4LVYfm78mD","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":869,"cache_read_input_tokens":17392,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DPZA5cvSxMGtyDmgvH","uuid":"5ae01326-7a22-470d-abb0-b29f19a27835"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a272b4ea-9d3e-418f-b098-e45c8c7d263a","timestamp":"2026-03-13T14:11:09.799Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a272b4ea-9d3e-418f-b098-e45c8c7d263a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019zZLoPC9GPMR4LVYfm78mD","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→"}]},"uuid":"208e9674-2c54-4170-a0df-e976f24b2dd3","timestamp":"2026-03-13T14:11:09.812Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a1e1ee7b-7dfb-4e17-bb5d-c1cac3e716a1","timestamp":"2026-03-13T14:11:09.981Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"93c5bcd0-f24a-4705-857c-15bca8910681","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A3ib8hMenZRABoGGvobf7k","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"5b596ba1-32f5-456c-9283-84c772345ab6","timestamp":"2026-03-13T14:11:10.005Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"13f7ed9e-592d-4462-899b-045e7a88c3a5","timestamp":"2026-03-13T14:11:10.007Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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states})\n211-\t\t}\n212-\t}"}]},"uuid":"19f8f6f8-b48d-4e5c-8b28-ccfd433578b7","timestamp":"2026-03-13T14:11:12.777Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"27e63fd8-d055-4a25-9f3a-b306dfc9dbcc","timestamp":"2026-03-13T14:11:12.947Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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?\", stopTimeTail).\n287-\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)"}]},"uuid":"d396217d-68fe-4c9d-abd0-900c276bdd47","timestamp":"2026-03-13T14:11:13.075Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"347184ac-515d-43ef-bfd0-d5f28ba6138a","timestamp":"2026-03-13T14:11:13.076Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→\t\t}\n 683→\n 684→\t\thosts, ok := subclusters[subcluster]\n 685→\t\tif !ok {\n 686→\t\t\thosts = make(map[string]int)\n 687→\t\t\tsubclusters[subcluster] = hosts\n 688→\t\t}\n 689→\n 690→\t\tfor _, resource := range resources {\n 691→\t\t\thosts[resource.Hostname] += 1\n 692→\t\t}\n 693→\t}\n 694→\n 695→\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n 696→\treturn subclusters, nil\n 697→}\n 698→\n 699→// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {"}]},"uuid":"a537c474-390f-40dc-8a0c-23c77f2dc65f","timestamp":"2026-03-13T14:11:30.365Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a05ba4c8-605c-4216-8e7e-ee658720d43a","timestamp":"2026-03-13T14:11:30.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a05ba4c8-605c-4216-8e7e-ee658720d43a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:30.580Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WsidkZ8Zwnh45fE2jsg49t","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":700,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"64d9d41e-81a9-41e1-aa7f-e71b2da957a1"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"76aafb68-f966-421a-ab8d-7f5131da7e79","timestamp":"2026-03-13T14:11:30.580Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"76aafb68-f966-421a-ab8d-7f5131da7e79","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WsidkZ8Zwnh45fE2jsg49t","type":"tool_result","content":" 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {"}]},"uuid":"ee8da5df-cc13-4034-b4c0-086f87d6f70d","timestamp":"2026-03-13T14:11:30.584Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"ba3c4f26-3e95-4f0f-9c94-86b88127cd50","timestamp":"2026-03-13T14:11:30.770Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ba3c4f26-3e95-4f0f-9c94-86b88127cd50","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:30.986Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016EzxEsAxyAkYY3CRF3BudW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":775,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"2ee8932e-e136-4653-9a5a-408e61da6dac"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"9b9a26dc-4c69-4070-915b-bab0588b2ed7","timestamp":"2026-03-13T14:11:30.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"9b9a26dc-4c69-4070-915b-bab0588b2ed7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016EzxEsAxyAkYY3CRF3BudW","type":"tool_result","content":" 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {"}]},"uuid":"2366f563-e3f2-42c4-9d48-4282e834f53a","timestamp":"2026-03-13T14:11:31.004Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"2c4e7d36-5198-4631-8626-f08cb8dfca0a","timestamp":"2026-03-13T14:11:31.193Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2c4e7d36-5198-4631-8626-f08cb8dfca0a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:31.427Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L5C3J4gfQiFcBcFeRgNAtZ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":810,"limit":70},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"d6ffe93e-d138-4cb4-9d21-a2fcd10c7f89"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"850e46fa-3d6a-4dd5-a2d2-69d800b7f46d","timestamp":"2026-03-13T14:11:31.427Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"850e46fa-3d6a-4dd5-a2d2-69d800b7f46d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L5C3J4gfQiFcBcFeRgNAtZ","type":"tool_result","content":" 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {\n 855→\tcase \"all\":\n 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→\tcase \"user\":\n 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→\t}\n 860→\n 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→\n 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→\tif err != nil {\n 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→\t}\n 868→\tdefer rows.Close()\n 869→\n 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→\tfor rows.Next() {\n 872→\t\tjob, err := scanJob(rows)\n 873→\t\tif err != nil {\n 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→\t\t}\n 877→\t\tjobs = append(jobs, job)\n 878→\t}\n 879→"}]},"uuid":"2ce8a2c7-bb58-43e8-8783-3734a983376e","timestamp":"2026-03-13T14:11:31.433Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"7ef1ae30-b504-4797-9a83-dc5ddfb6d5b2","timestamp":"2026-03-13T14:11:31.434Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7ef1ae30-b504-4797-9a83-dc5ddfb6d5b2","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:31.602Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SHLuweraH1NnZkZs9RJyoR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":1060,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"0f27e56d-9795-4f54-bc99-8889a875b91e"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"b9e03118-b10e-4c53-acd9-bf6e330530a0","timestamp":"2026-03-13T14:11:31.603Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b9e03118-b10e-4c53-acd9-bf6e330530a0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SHLuweraH1NnZkZs9RJyoR","type":"tool_result","content":" 1060→//\n 1061→// The timestamp parameter (ts) is compared against job.start_time to find\n 1062→// relevant jobs. Returns an error if the database query fails or row iteration\n 1063→// encounters errors. Individual row parsing errors are logged but don't fail\n 1064→// the entire operation.\n 1065→func (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n 1066→\t// Note: Query expects index on (job_state, start_time) for optimal performance\n 1067→\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n 1068→\t\tWhere(\"job.start_time < ?\", ts).\n 1069→\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n 1070→\n 1071→\trows, err := q.RunWith(r.stmtCache).Query()\n 1072→\tif err != nil {\n 1073→\t\tqueryString, queryVars, _ := q.ToSql()\n 1074→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 1075→\t}\n 1076→\tdefer rows.Close()\n 1077→\n 1078→\t// Use a map of sets for efficient deduplication\n 1079→\tnodeSet := make(map[string]map[string]struct{})\n 1080→\n 1081→\tvar (\n 1082→\t\tcluster string\n 1083→\t\trawResources []byte\n 1084→\t\tresources []*schema.Resource\n 1085→\t\tskippedRows int\n 1086→\t)\n 1087→\n 1088→\tfor rows.Next() {\n 1089→\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {"}]},"uuid":"90f85031-94bc-4a0f-8bfd-bb4eff8fbea6","timestamp":"2026-03-13T14:11:31.611Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"dc75125c-f284-40fb-bdd1-a3360661db17","timestamp":"2026-03-13T14:11:31.631Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"dc75125c-f284-40fb-bdd1-a3360661db17","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","toolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","timestamp":"2026-03-13T14:11:58.098Z","uuid":"b2eb28ab-8b07-4fac-b449-57cb5a409c8c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EDotFfP7XFHmDSwtCzpTYi","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information. Let me compile the comprehensive report:\n\n## Summary of `job_state` SQL Query Usage\n\nI've found **11 occurrences** of `job_state` in WHERE clauses across the repository layer. Here's the complete breakdown:\n\n### 1. **stats.go - Line 116** (buildCountQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:116`\n- **Function**: `buildCountQuery()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses `?` placeholder with \"running\" passed as parameter\n- **Context**: Counts jobs by kind; filters for running jobs when kind=\"running\". Used by AddJobCount, AddJobCountGrouped\n- **Source**: Validated - hardcoded constant \"running\" from switch statement\n\n### 2. **stats.go - Line 148** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:148`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `durationExpr := fmt.Sprintf(\"(CASE WHEN job.job_state = 'running' THEN ...\")`\n- **Parameterization**: NO - hardcoded literal 'running' in string\n- **Context**: Builds dynamic SQL for calculating duration. For running jobs: (now - start_time); for completed: duration field. Used in statistics aggregations\n- **Source**: Validated - hardcoded constant in comparison expression\n\n### 3. **stats.go - Line 208** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:208`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via SELECT clause\n- **Code**: `columns = append(columns, \"COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Counts running jobs as part of statistics aggregation\n- **Source**: Validated - hardcoded constant\n\n### 4. **stats.go - Line 647** (AddHistograms)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:647`\n- **Function**: `AddHistograms()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `value := fmt.Sprintf(\"CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value\"...)`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Duration histogram calculation; same as buildStatsQuery logic for running vs completed jobs\n- **Source**: Validated - hardcoded constant\n\n### 5. **jobQuery.go - Line 204** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:204`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))`\n- **Parameterization**: NO - inlined literal using fmt.Sprintf\n- **Context**: User filter for job state. When single state value requested, inlines for SQLite partial index matching. Comment explicitly notes this is safe because values come from GraphQL enum validation\n- **Source**: Validated - values from `filter.State[0]` which is model.JobState enum (validated GraphQL type)\n- **Security**: Comment at line 201-202 documents this is intentional for partial index optimization\n\n### 6. **jobQuery.go - Line 210** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:210`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `query = query.Where(sq.Eq{\"job.job_state\": states})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholders\n- **Context**: Multiple state filter (IN clause); when filter has multiple state values\n- **Source**: Validated - values from filter.State which is model.JobState enum array\n\n### 7. **jobFind.go - Line 132** (GetJobList)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:132`\n- **Function**: `GetJobList()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state != 'running'\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets list of non-running (completed) jobs for batch processing. Returns paginated IDs\n- **Source**: Validated - hardcoded constant\n\n### 8. **jobFind.go - Line 280** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:280`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `queryRunning := query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds running jobs overlapping with specified job's time range (for concurrent job analysis)\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 9. **jobFind.go - Line 285** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:285`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state != ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds completed jobs (not running) overlapping with specified job's time range\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 10. **job.go - Line 661** (AllocatedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:661`\n- **Function**: `AllocatedNodes()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets all currently allocated nodes across running jobs on a cluster\n- **Source**: Validated - hardcoded constant\n\n### 11. **job.go - Line 719** (StopJobsExceedingWalltimeBy)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:719`\n- **Function**: `StopJobsExceedingWalltimeBy()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Marks stuck/orphaned jobs as failed if they exceed walltime. Filters to only running jobs\n- **Source**: Validated - hardcoded constant\n\n### 12. **job.go - Line 784** (FindRunningJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:784`\n- **Function**: `FindRunningJobs()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Retrieves all running jobs for a cluster, filters by MinRunningJobDuration threshold\n- **Source**: Validated - hardcoded constant\n\n### 13. **job.go - Line 817** (UpdateDuration)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:817`\n- **Function**: `UpdateDuration()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job_state = 'running'\")` (note: missing \"job.\" prefix)\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Updates duration for all running jobs periodically (current_time - start_time)\n- **Source**: Validated - hardcoded constant\n- **Note**: Missing table prefix (\"job.\" is omitted)\n\n### 14. **job.go - Line 1069** (GetUsedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:1069`\n- **Function**: `GetUsedNodes()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `Where(sq.Eq{\"job.job_state\": \"running\"})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholder\n- **Context**: Gets nodes in use for running jobs before a timestamp. Comment notes performance requires index on (job_state, start_time)\n- **Source**: Validated - hardcoded constant \"running\"\n\n---\n\n## Summary Table\n\n| File | Line | Function | Parameterized | Value Source | Filter Type |\n|------|------|----------|----------------|-------------|------------|\n| stats.go | 116 | buildCountQuery | YES (?) | hardcoded \"running\" | Single known value |\n| stats.go | 148 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 208 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 647 | AddHistograms | NO (inlined) | hardcoded 'running' | Single known value |\n| jobQuery.go | 204 | BuildWhereClause | NO (fmt.Sprintf) | GraphQL enum validated | Single known value |\n| jobQuery.go | 210 | BuildWhereClause | YES (sq.Eq) | GraphQL enum validated | Multiple values |\n| jobFind.go | 132 | GetJobList | NO (inlined) | hardcoded 'running' | Single known value |\n| jobFind.go | 280 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| jobFind.go | 285 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| job.go | 661 | AllocatedNodes | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 719 | StopJobsExceedingWalltimeBy | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 784 | FindRunningJobs | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 817 | UpdateDuration | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 1069 | GetUsedNodes | YES (sq.Eq) | hardcoded \"running\" | Single known value |\n\n---\n\n## Key Findings\n\n1. **No user input flows directly into job_state filters** - All values come from either hardcoded constants or validated GraphQL enums\n2. **Mixed parameterization approach** - 5 use parameterized queries (Squirrel with ?), 9 use inlined literals\n3. **Intentional inlining in jobQuery.go:204** - Comment documents this is safe for SQLite partial index optimization\n4. **Consistent \"running\" state usage** - Almost all filters target the hardcoded \"running\" state for specific queries\n5. **One minor issue in job.go:817** - Missing \"job.\" table prefix in UpdateDuration query (though still safe as it's unambiguous)"},{"type":"text","text":"agentId: a7c36c0986477581c (for resuming to continue this agent's work if needed)\ntotal_tokens: 66263\ntool_uses: 17\nduration_ms: 53390"}]}]},"uuid":"eab5e799-0172-4a96-ad80-8a9ebe391648","timestamp":"2026-03-13T14:11:58.097Z","toolUseResult":{"status":"completed","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files.","agentId":"a7c36c0986477581c","content":[{"type":"text","text":"Perfect! Now I have all the information. Let me compile the comprehensive report:\n\n## Summary of `job_state` SQL Query Usage\n\nI've found **11 occurrences** of `job_state` in WHERE clauses across the repository layer. Here's the complete breakdown:\n\n### 1. **stats.go - Line 116** (buildCountQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:116`\n- **Function**: `buildCountQuery()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses `?` placeholder with \"running\" passed as parameter\n- **Context**: Counts jobs by kind; filters for running jobs when kind=\"running\". Used by AddJobCount, AddJobCountGrouped\n- **Source**: Validated - hardcoded constant \"running\" from switch statement\n\n### 2. **stats.go - Line 148** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:148`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `durationExpr := fmt.Sprintf(\"(CASE WHEN job.job_state = 'running' THEN ...\")`\n- **Parameterization**: NO - hardcoded literal 'running' in string\n- **Context**: Builds dynamic SQL for calculating duration. For running jobs: (now - start_time); for completed: duration field. Used in statistics aggregations\n- **Source**: Validated - hardcoded constant in comparison expression\n\n### 3. **stats.go - Line 208** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:208`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via SELECT clause\n- **Code**: `columns = append(columns, \"COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Counts running jobs as part of statistics aggregation\n- **Source**: Validated - hardcoded constant\n\n### 4. **stats.go - Line 647** (AddHistograms)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:647`\n- **Function**: `AddHistograms()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `value := fmt.Sprintf(\"CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value\"...)`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Duration histogram calculation; same as buildStatsQuery logic for running vs completed jobs\n- **Source**: Validated - hardcoded constant\n\n### 5. **jobQuery.go - Line 204** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:204`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))`\n- **Parameterization**: NO - inlined literal using fmt.Sprintf\n- **Context**: User filter for job state. When single state value requested, inlines for SQLite partial index matching. Comment explicitly notes this is safe because values come from GraphQL enum validation\n- **Source**: Validated - values from `filter.State[0]` which is model.JobState enum (validated GraphQL type)\n- **Security**: Comment at line 201-202 documents this is intentional for partial index optimization\n\n### 6. **jobQuery.go - Line 210** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:210`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `query = query.Where(sq.Eq{\"job.job_state\": states})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholders\n- **Context**: Multiple state filter (IN clause); when filter has multiple state values\n- **Source**: Validated - values from filter.State which is model.JobState enum array\n\n### 7. **jobFind.go - Line 132** (GetJobList)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:132`\n- **Function**: `GetJobList()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state != 'running'\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets list of non-running (completed) jobs for batch processing. Returns paginated IDs\n- **Source**: Validated - hardcoded constant\n\n### 8. **jobFind.go - Line 280** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:280`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `queryRunning := query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds running jobs overlapping with specified job's time range (for concurrent job analysis)\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 9. **jobFind.go - Line 285** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:285`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state != ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds completed jobs (not running) overlapping with specified job's time range\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 10. **job.go - Line 661** (AllocatedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:661`\n- **Function**: `AllocatedNodes()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets all currently allocated nodes across running jobs on a cluster\n- **Source**: Validated - hardcoded constant\n\n### 11. **job.go - Line 719** (StopJobsExceedingWalltimeBy)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:719`\n- **Function**: `StopJobsExceedingWalltimeBy()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Marks stuck/orphaned jobs as failed if they exceed walltime. Filters to only running jobs\n- **Source**: Validated - hardcoded constant\n\n### 12. **job.go - Line 784** (FindRunningJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:784`\n- **Function**: `FindRunningJobs()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Retrieves all running jobs for a cluster, filters by MinRunningJobDuration threshold\n- **Source**: Validated - hardcoded constant\n\n### 13. **job.go - Line 817** (UpdateDuration)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:817`\n- **Function**: `UpdateDuration()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job_state = 'running'\")` (note: missing \"job.\" prefix)\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Updates duration for all running jobs periodically (current_time - start_time)\n- **Source**: Validated - hardcoded constant\n- **Note**: Missing table prefix (\"job.\" is omitted)\n\n### 14. **job.go - Line 1069** (GetUsedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:1069`\n- **Function**: `GetUsedNodes()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `Where(sq.Eq{\"job.job_state\": \"running\"})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholder\n- **Context**: Gets nodes in use for running jobs before a timestamp. Comment notes performance requires index on (job_state, start_time)\n- **Source**: Validated - hardcoded constant \"running\"\n\n---\n\n## Summary Table\n\n| File | Line | Function | Parameterized | Value Source | Filter Type |\n|------|------|----------|----------------|-------------|------------|\n| stats.go | 116 | buildCountQuery | YES (?) | hardcoded \"running\" | Single known value |\n| stats.go | 148 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 208 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 647 | AddHistograms | NO (inlined) | hardcoded 'running' | Single known value |\n| jobQuery.go | 204 | BuildWhereClause | NO (fmt.Sprintf) | GraphQL enum validated | Single known value |\n| jobQuery.go | 210 | BuildWhereClause | YES (sq.Eq) | GraphQL enum validated | Multiple values |\n| jobFind.go | 132 | GetJobList | NO (inlined) | hardcoded 'running' | Single known value |\n| jobFind.go | 280 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| jobFind.go | 285 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| job.go | 661 | AllocatedNodes | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 719 | StopJobsExceedingWalltimeBy | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 784 | FindRunningJobs | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 817 | UpdateDuration | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 1069 | GetUsedNodes | YES (sq.Eq) | hardcoded \"running\" | Single known value |\n\n---\n\n## Key Findings\n\n1. **No user input flows directly into job_state filters** - All values come from either hardcoded constants or validated GraphQL enums\n2. **Mixed parameterization approach** - 5 use parameterized queries (Squirrel with ?), 9 use inlined literals\n3. **Intentional inlining in jobQuery.go:204** - Comment documents this is safe for SQLite partial index optimization\n4. **Consistent \"running\" state usage** - Almost all filters target the hardcoded \"running\" state for specific queries\n5. **One minor issue in job.go:817** - Missing \"job.\" table prefix in UpdateDuration query (though still safe as it's unambiguous)"}],"totalDurationMs":53390,"totalTokens":66263,"totalToolUseCount":17,"usage":{"input_tokens":5,"cache_creation_input_tokens":9264,"cache_read_input_tokens":53822,"output_tokens":3172,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":9264},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"eab5e799-0172-4a96-ad80-8a9ebe391648","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LunFsBm6KQMnHbRchWL5Qj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016KHumoJ75SUh7X9K1dBwVa","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/recursive-giggling-volcano.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3603,"cache_read_input_tokens":96447,"output_tokens":69,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3603},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DTLFJVo71xZC2C7HHC","type":"assistant","uuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","timestamp":"2026-03-13T14:12:02.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_016KHumoJ75SUh7X9K1dBwVa","toolUseID":"toolu_016KHumoJ75SUh7X9K1dBwVa","timestamp":"2026-03-13T14:12:02.443Z","uuid":"cd5ff376-d254-40fb-8a96-f6c329a0d77d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016KHumoJ75SUh7X9K1dBwVa","type":"tool_result","content":" 1→# Usage Dashboard Query Optimization\n 2→\n 3→## Change 1: Partial indexes for running jobs\n 4→\n 5→- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n 6→- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n 7→- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n 8→- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n 9→\n 10→## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n 11→\n 12→- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n 13→- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n 14→- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n 15→\n 16→## Change 3: Parallelize histogram queries\n 17→\n 18→- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n 19→\n 20→## Change 4: Frontend uses consolidated results\n 21→\n 22→- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n 23→\n 24→## Verification\n 25→```bash\n 26→cd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n 27→```\n 28→"}]},"uuid":"c7e28a29-2dbd-47c9-bb33-66828a28b0a1","timestamp":"2026-03-13T14:12:02.442Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n","numLines":28,"startLine":1,"totalLines":28}},"sourceToolAssistantUUID":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"c7e28a29-2dbd-47c9-bb33-66828a28b0a1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TZ5r3uFwnQk5WH4h6DjiNV","type":"message","role":"assistant","content":[{"type":"text","text":"The exploration found **4 parameterized sites** that filter on a hardcoded `\"running\"` value where inlining could help SQLite use the partial indexes:\n\n| File | Line | Function | Currently |\n|------|------|----------|-----------|\n| `stats.go` | 116 | `buildCountQuery` | `\"job.job_state = ?\", \"running\"` |\n| `jobFind.go` | 280 | `FindConcurrentJobs` | `\"job.job_state = ?\", \"running\"` |\n| `jobFind.go` | 285 | `FindConcurrentJobs` | `\"job.job_state != ?\", \"running\"` |\n| `job.go` | 1069 | `GetUsedNodes` | `sq.Eq{\"job.job_state\": \"running\"}` |\n\nHowever, the benefit is uneven:\n\n- **`stats.go:116` (`buildCountQuery`)** — this is the strongest candidate. It's called by `AddJobCount`/`AddJobCountGrouped` on the dashboard. Inlining here lets SQLite use the partial indexes we just created.\n- **`job.go:1069` (`GetUsedNodes`)** — also queries running jobs, could benefit.\n- **`jobFind.go:280/285` (`FindConcurrentJobs`)** — these query by specific resources/time overlap, so the partial index is less likely to be chosen by the planner (the equality on `job_state` isn't the leading selectivity driver).\n\nThe remaining 8 sites already use inlined literals (`'running'` directly in SQL strings), so they're fine."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4375,"cache_read_input_tokens":96447,"cache_creation":{"ephemeral_5m_input_tokens":4375,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DTd3r1FoaFXoLinP98","type":"assistant","uuid":"b483fbdc-1d1b-4602-9cad-0e2962d9bc73","timestamp":"2026-03-13T14:12:13.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"973ed897-bf9f-44d8-9d47-1cb82259cfee","snapshot":{"messageId":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":"39f0a8ec00eef836@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":"cccfd468ffeeb12d@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/stats_cache.go":{"backupFileName":"192476250d06317a@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v3","version":3,"backupTime":"2026-03-13T14:10:52.135Z"},"/Users/jan/.claude/plans/recursive-giggling-volcano.md":{"backupFileName":"199cf438c5ea258b@v1","version":1,"backupTime":"2026-03-13T14:12:20.753Z"}},"timestamp":"2026-03-13T14:10:52.134Z"},"isSnapshotUpdate":true} +{"parentUuid":"b483fbdc-1d1b-4602-9cad-0e2962d9bc73","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TZ5r3uFwnQk5WH4h6DjiNV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PNU1pDvBtV95Wihx8mcR3j","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4375,"cache_read_input_tokens":96447,"output_tokens":730,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4375},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DTd3r1FoaFXoLinP98","type":"assistant","uuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","timestamp":"2026-03-13T14:12:20.734Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01PNU1pDvBtV95Wihx8mcR3j","toolUseID":"toolu_01PNU1pDvBtV95Wihx8mcR3j","timestamp":"2026-03-13T14:12:20.755Z","uuid":"17905a2f-c9b5-42e4-aacd-26361f2d8016","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PNU1pDvBtV95Wihx8mcR3j","type":"tool_result","content":"The file /Users/jan/.claude/plans/recursive-giggling-volcano.md has been updated successfully."}]},"uuid":"9ea40fde-6dd4-40db-93fe-93da8108dea8","timestamp":"2026-03-13T14:12:20.755Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":27,"newStart":1,"newLines":15,"lines":["-# Usage Dashboard Query Optimization","+# Inline literal job_state in remaining parameterized sites"," ","-## Change 1: Partial indexes for running jobs","+## Files to change"," ","-- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).","-- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.","-- **`internal/repository/migration.go:30`** — `Version` 13 → 14.","-- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.","+- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.","+- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries."," ","-## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)","+## Sites intentionally NOT changed"," ","-- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.","-- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.","-- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.","+- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes."," ","-## Change 3: Parallelize histogram queries","-","-- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.","-","-## Change 4: Frontend uses consolidated results","-","-- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.","-"," ## Verification"," ```bash","-cd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...","+go build ./cmd/cc-backend && go test ./internal/repository/..."," ```"]}],"originalFile":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. 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Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":847,"cache_read_input_tokens":101680,"output_tokens":93,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":847},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DVCivmtJg9s3QZDwFb","type":"assistant","uuid":"57e16369-4d3f-448d-a795-88a884d5bbc0","timestamp":"2026-03-13T14:12:27.819Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"57e16369-4d3f-448d-a795-88a884d5bbc0","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. 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\ No newline at end of file diff --git a/35/f06df74b51/1/content_hash.txt b/35/f06df74b51/1/content_hash.txt new file mode 100644 index 00000000..c72d0231 --- /dev/null +++ b/35/f06df74b51/1/content_hash.txt @@ -0,0 +1 @@ +sha256:ff5997a8bb3dbade18a35088da30ea53f255162767f1774899110ff6e68c5f7d \ No newline at end of file diff --git a/35/f06df74b51/1/full.jsonl b/35/f06df74b51/1/full.jsonl new file mode 100644 index 00000000..5cc6c542 --- /dev/null +++ b/35/f06df74b51/1/full.jsonl @@ -0,0 +1,25 @@ +{"type":"file-history-snapshot","messageId":"541242d1-c34c-47b7-bfae-1b5638c57305","snapshot":{"messageId":"541242d1-c34c-47b7-bfae-1b5638c57305","trackedFileBackups":{},"timestamp":"2026-03-13T14:14:14.442Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"25447bed-6dc7-4751-90e9-ba917a333cc3","toolUseID":"25447bed-6dc7-4751-90e9-ba917a333cc3","timestamp":"2026-03-13T14:14:14.391Z","uuid":"f1787422-78d8-483b-822e-54024888084c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d9b09c8f-9f72-4f35-986e-fb422e1b4064","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"f1787422-78d8-483b-822e-54024888084c","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/889ef150-c6ca-4f35-81e5-c19dc95fe399.jsonl"},"uuid":"541242d1-c34c-47b7-bfae-1b5638c57305","timestamp":"2026-03-13T14:14:11.616Z","planContent":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d9b09c8f-9f72-4f35-986e-fb422e1b4064","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"541242d1-c34c-47b7-bfae-1b5638c57305","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DZDJWi1M7Dnh917xVRDDvV","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the two files to see the exact code at those 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":113,"oldLines":7,"newStart":113,"newLines":7,"lines":[" "," switch kind {"," case \"running\":","- query = query.Where(\"job.job_state = ?\", \"running\")","+ query = query.Where(\"job.job_state = 'running'\")"," case \"short\":"," query = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"77428f4f-822d-4e79-b515-0258064f1ea3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d9b09c8f-9f72-4f35-986e-fb422e1b4064","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"c22e5b4a-4e45-4528-b202-d08f19e2fc2d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01K8x1ULUAAE1z7fiQenpV7D","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PLKQdEs9GwRWEfnXYQuxeC","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","old_string":"\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})","new_string":"\t\tWhere(\"job.job_state = 'running'\")"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1075,"cache_read_input_tokens":18507,"output_tokens":274,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1075},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DdhoNakUpPyAjgxL39","type":"assistant","uuid":"604bdedd-91db-4e50-a7eb-0b541443aeda","timestamp":"2026-03-13T14:14:23.772Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d9b09c8f-9f72-4f35-986e-fb422e1b4064","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"604bdedd-91db-4e50-a7eb-0b541443aeda","snapshot":{"messageId":"541242d1-c34c-47b7-bfae-1b5638c57305","trackedFileBackups":{"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-13T14:14:22.979Z"},"internal/repository/job.go":{"backupFileName":"a76ef7bcf2fb8d2f@v1","version":1,"backupTime":"2026-03-13T14:14:23.782Z"}},"timestamp":"2026-03-13T14:14:14.442Z"},"isSnapshotUpdate":true} +{"parentUuid":"604bdedd-91db-4e50-a7eb-0b541443aeda","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01PLKQdEs9GwRWEfnXYQuxeC","toolUseID":"toolu_01PLKQdEs9GwRWEfnXYQuxeC","timestamp":"2026-03-13T14:14:23.784Z","uuid":"9fd63ebf-0746-427e-ba30-7c27669040b0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d9b09c8f-9f72-4f35-986e-fb422e1b4064","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"604bdedd-91db-4e50-a7eb-0b541443aeda","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PLKQdEs9GwRWEfnXYQuxeC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go has been updated successfully."}]},"uuid":"05c768ef-6588-4169-b423-de1c8f7cf9c1","timestamp":"2026-03-13T14:14:23.784Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","oldString":"\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})","newString":"\t\tWhere(\"job.job_state = 'running'\")","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides the data access layer for cc-backend using the repository pattern.\n//\n// The repository pattern abstracts database operations and provides a clean interface for\n// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n// operations and specialized queries.\n//\n// # Database Connection\n//\n// Initialize the database connection before using any repository:\n//\n//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n//\n// # Configuration\n//\n// Optional: Configure repository settings before initialization:\n//\n//\trepository.SetConfig(&repository.RepositoryConfig{\n//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n//\t MaxOpenConnections: 8, // Connection pool size\n//\t MinRunningJobDuration: 300, // Filter threshold\n//\t})\n//\n// If not configured, sensible defaults are used automatically.\n//\n// # Repositories\n//\n// - JobRepository: Job lifecycle management and querying\n// - UserRepository: User management and authentication\n// - NodeRepository: Cluster node state tracking\n// - Tags: Job tagging and categorization\n//\n// # Caching\n//\n// Repositories use LRU caching to improve performance. Cache keys are constructed\n// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n// mutations to maintain consistency.\n//\n// # Transaction Support\n//\n// For batch operations, use transactions:\n//\n//\tt, err := jobRepo.TransactionInit()\n//\tif err != nil {\n//\t return err\n//\t}\n//\tdefer t.Rollback() // Rollback if not committed\n//\n//\t// Perform operations...\n//\tjobRepo.TransactionAdd(t, query, args...)\n//\n//\t// Commit when done\n//\tif err := t.Commit(); err != nil {\n//\t return err\n//\t}\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"maps\"\n\t\"math\"\n\t\"sort\"\n\t\"strconv\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\t// jobRepoOnce ensures singleton initialization of the JobRepository\n\tjobRepoOnce sync.Once\n\t// jobRepoInstance holds the single instance of JobRepository\n\tjobRepoInstance *JobRepository\n)\n\n// JobRepository provides database access for job-related operations.\n// It implements the repository pattern to abstract database interactions\n// and provides caching for improved performance.\n//\n// The repository is a singleton initialized via GetJobRepository().\n// All database queries use prepared statements via stmtCache for efficiency.\n// Frequently accessed data (metadata, energy footprints) is cached in an LRU cache.\ntype JobRepository struct {\n\tDB *sqlx.DB // Database connection pool\n\tstmtCache *sq.StmtCache // Prepared statement cache for query optimization\n\tcache *lrucache.Cache // LRU cache for metadata and footprint data\n\tdriver string // Database driver name (e.g., \"sqlite3\")\n\tMutex sync.Mutex // Mutex for thread-safe operations\n}\n\n// GetJobRepository returns the singleton instance of JobRepository.\n// The repository is initialized lazily on first access with database connection,\n// prepared statement cache, and LRU cache configured from repoConfig.\n//\n// This function is thread-safe and ensures only one instance is created.\n// It must be called after Connect() has established a database connection.\nfunc GetJobRepository() *JobRepository {\n\tjobRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tjobRepoInstance = &JobRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn jobRepoInstance\n}\n\n// jobColumns defines the standard set of columns selected from the job table.\n// Used consistently across all job queries to ensure uniform data retrieval.\nvar jobColumns []string = []string{\n\t\"job.id\", \"job.job_id\", \"job.hpc_user\", \"job.project\", \"job.cluster\", \"job.subcluster\",\n\t\"job.start_time\", \"job.cluster_partition\", \"job.array_job_id\", \"job.num_nodes\",\n\t\"job.num_hwthreads\", \"job.num_acc\", \"job.shared\", \"job.monitoring_status\",\n\t\"job.smt\", \"job.job_state\", \"job.duration\", \"job.walltime\", \"job.resources\",\n\t\"job.footprint\", \"job.energy\",\n}\n\n// jobCacheColumns defines columns from the job_cache table, mirroring jobColumns.\n// Used for queries against cached job data for performance optimization.\nvar jobCacheColumns []string = []string{\n\t\"job_cache.id\", \"job_cache.job_id\", \"job_cache.hpc_user\", \"job_cache.project\", \"job_cache.cluster\",\n\t\"job_cache.subcluster\", \"job_cache.start_time\", \"job_cache.cluster_partition\",\n\t\"job_cache.array_job_id\", \"job_cache.num_nodes\", \"job_cache.num_hwthreads\",\n\t\"job_cache.num_acc\", \"job_cache.shared\", \"job_cache.monitoring_status\", \"job_cache.smt\",\n\t\"job_cache.job_state\", \"job_cache.duration\", \"job_cache.walltime\", \"job_cache.resources\",\n\t\"job_cache.footprint\", \"job_cache.energy\",\n}\n\n// scanJob converts a database row into a schema.Job struct.\n// It handles JSON unmarshaling of resources and footprint fields,\n// and calculates accurate duration for running jobs.\n//\n// Parameters:\n// - row: Database row implementing Scan() interface (sql.Row or sql.Rows)\n//\n// Returns the populated Job struct or an error if scanning or unmarshaling fails.\nfunc scanJob(row interface{ Scan(...any) error }) (*schema.Job, error) {\n\tjob := &schema.Job{}\n\n\tif err := row.Scan(\n\t\t&job.ID, &job.JobID, &job.User, &job.Project, &job.Cluster, &job.SubCluster,\n\t\t&job.StartTime, &job.Partition, &job.ArrayJobID, &job.NumNodes, &job.NumHWThreads,\n\t\t&job.NumAcc, &job.Shared, &job.MonitoringStatus, &job.SMT, &job.State,\n\t\t&job.Duration, &job.Walltime, &job.RawResources, &job.RawFootprint, &job.Energy); err != nil {\n\t\tcclog.Warnf(\"Error while scanning rows (Job): %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := json.Unmarshal(job.RawResources, &job.Resources); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw resources json\")\n\t\treturn nil, err\n\t}\n\tjob.RawResources = nil\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json: %v\", err)\n\t\treturn nil, err\n\t}\n\tjob.RawFootprint = nil\n\n\t// Always ensure accurate duration for running jobs\n\tif job.State == schema.JobStateRunning {\n\t\tjob.Duration = int32(time.Now().Unix() - job.StartTime)\n\t}\n\n\treturn job, nil\n}\n\n// Optimize performs database optimization by running VACUUM command.\n// This reclaims unused space and defragments the database file.\n// Should be run periodically during maintenance windows.\nfunc (r *JobRepository) Optimize() error {\n\tif _, err := r.DB.Exec(`VACUUM`); err != nil {\n\t\tcclog.Errorf(\"Error while executing VACUUM: %v\", err)\n\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n\t}\n\treturn nil\n}\n\n// Flush removes all data from job-related tables (jobtag, tag, job).\n// WARNING: This is a destructive operation that deletes all job data.\n// Use with extreme caution, typically only for testing or complete resets.\nfunc (r *JobRepository) Flush() error {\n\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from tag table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush tag table: %w\", err)\n\t}\n\tif _, err := r.DB.Exec(`DELETE FROM job`); err != nil {\n\t\tcclog.Errorf(\"Error while deleting from job table: %v\", err)\n\t\treturn fmt.Errorf(\"failed to flush job table: %w\", err)\n\t}\n\treturn nil\n}\n\n// FetchMetadata retrieves and unmarshals the metadata JSON for a job.\n// Metadata is cached with a 24-hour TTL to improve performance.\n//\n// The metadata field stores arbitrary key-value pairs associated with a job,\n// such as tags, labels, or custom attributes added by external systems.\n//\n// Parameters:\n// - job: Job struct with valid ID field, metadata will be populated in job.MetaData\n//\n// Returns the metadata map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchMetadata(job *schema.Job) (map[string]string, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.MetaData = cached.(map[string]string)\n\t\treturn job.MetaData, nil\n\t}\n\n\tif err := sq.Select(\"job.meta_data\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawMetaData); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job metadata (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawMetaData, &job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw metadata json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn job.MetaData, nil\n}\n\n// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\n// Also triggers archive metadata update via archive.UpdateMetadata.\n//\n// Parameters:\n// - job: Job struct with valid ID, existing metadata will be fetched if not present\n// - key: Metadata key to set\n// - val: Metadata value to set\n//\n// Returns an error if the job is nil, metadata fetch fails, or database update fails.\nfunc (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n\tif job == nil {\n\t\treturn fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n\tr.cache.Del(cachekey)\n\tif job.MetaData == nil {\n\t\tif _, err = r.FetchMetadata(job); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for job, DB ID '%v'\", *job.ID)\n\t\t\treturn fmt.Errorf(\"failed to fetch metadata for job %d: %w\", *job.ID, err)\n\t\t}\n\t}\n\n\tif job.MetaData != nil {\n\t\tcpy := make(map[string]string, len(job.MetaData)+1)\n\t\tmaps.Copy(cpy, job.MetaData)\n\t\tcpy[key] = val\n\t\tjob.MetaData = cpy\n\t} else {\n\t\tjob.MetaData = map[string]string{key: val}\n\t}\n\n\tif job.RawMetaData, err = json.Marshal(job.MetaData); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to marshal metadata for job %d: %w\", *job.ID, err)\n\t}\n\n\tif _, err = sq.Update(\"job\").\n\t\tSet(\"meta_data\", job.RawMetaData).\n\t\tWhere(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\n\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n\treturn archive.UpdateMetadata(job, job.MetaData)\n}\n\n// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n//\n// The footprint contains summary statistics (avg/min/max) for monitored metrics,\n// stored as JSON with keys like \"cpu_load_avg\", \"mem_used_max\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, footprint will be populated in job.Footprint\n//\n// Returns the footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\n\tif err := sq.Select(\"job.footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawFootprint, &job.Footprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tcclog.Debugf(\"Timer FetchFootprint %s\", time.Since(start))\n\treturn job.Footprint, nil\n}\n\n// FetchEnergyFootprint retrieves and unmarshals the energy footprint JSON for a job.\n// Energy footprints are cached with a 24-hour TTL as they are frequently accessed but rarely change.\n//\n// The energy footprint contains calculated energy consumption (in kWh) per metric,\n// stored as JSON with keys like \"power_avg\", \"acc_power_avg\", etc.\n//\n// Parameters:\n// - job: Job struct with valid ID, energy footprint will be populated in job.EnergyFootprint\n//\n// Returns the energy footprint map or an error if the job is nil or database query fails.\nfunc (r *JobRepository) FetchEnergyFootprint(job *schema.Job) (map[string]float64, error) {\n\tif job == nil {\n\t\treturn nil, fmt.Errorf(\"job cannot be nil\")\n\t}\n\n\tstart := time.Now()\n\tcachekey := fmt.Sprintf(\"energyFootprint:%d\", *job.ID)\n\tif cached := r.cache.Get(cachekey, nil); cached != nil {\n\t\tjob.EnergyFootprint = cached.(map[string]float64)\n\t\treturn job.EnergyFootprint, nil\n\t}\n\n\tif err := sq.Select(\"job.energy_footprint\").From(\"job\").Where(\"job.id = ?\", job.ID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&job.RawEnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while scanning for job energy_footprint (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to fetch energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tif len(job.RawEnergyFootprint) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tif err := json.Unmarshal(job.RawEnergyFootprint, &job.EnergyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while unmarshaling raw energy footprint json (ID=%d): %v\", *job.ID, err)\n\t\treturn nil, fmt.Errorf(\"failed to unmarshal energy footprint for job %d: %w\", *job.ID, err)\n\t}\n\n\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n\treturn job.EnergyFootprint, nil\n}\n\n// DeleteJobsBefore removes jobs older than the specified start time.\n// Optionally preserves tagged jobs to protect important data from deletion.\n// Cache entries for deleted jobs are automatically invalidated.\n//\n// This is typically used for data retention policies and cleanup operations.\n// WARNING: This is a destructive operation that permanently deletes job records.\n//\n// Parameters:\n// - startTime: Unix timestamp, jobs with start_time < this value will be deleted\n// - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns the count of deleted jobs or an error if the operation fails.\nfunc (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n\tvar cnt int\n\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\n\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n\t\treturn 0, err\n\t}\n\n\t// Invalidate cache for jobs being deleted (get job IDs first)\n\tif cnt > 0 {\n\t\tvar jobIds []int64\n\t\tselectQuery := sq.Select(\"id\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\t\tswitch omitTagged {\n\t\tcase \"all\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\t\tcase \"user\":\n\t\t\tselectQuery = selectQuery.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t\t}\n\n\t\trows, err := selectQuery.RunWith(r.DB).Query()\n\t\tif err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar id int64\n\t\t\t\tif err := rows.Scan(&id); err == nil {\n\t\t\t\t\tjobIds = append(jobIds, id)\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invalidate cache entries\n\t\t\tfor _, id := range jobIds {\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\t\t\t\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\t\t\t}\n\t\t}\n\t}\n\n\tqd := sq.Delete(\"job\").Where(\"job.start_time < ?\", startTime)\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tqd = qd.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n\t}\n\treturn cnt, err\n}\n\n// DeleteJobByID permanently removes a single job by its database ID.\n// Cache entries for the deleted job are automatically invalidated.\n//\n// Parameters:\n// - id: Database ID (primary key) of the job to delete\n//\n// Returns an error if the deletion fails.\nfunc (r *JobRepository) DeleteJobByID(id int64) error {\n\t// Invalidate cache entries before deletion\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n\n\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\n\t_, err := qd.RunWith(r.DB).Exec()\n\n\tif err != nil {\n\t\ts, _, _ := qd.ToSql()\n\t\tcclog.Errorf(\"DeleteJobById(%d) with %s : error %#v\", id, s, err)\n\t} else {\n\t\tcclog.Debugf(\"DeleteJobById(%d): Success\", id)\n\t}\n\treturn err\n}\n\n// FindUserOrProjectOrJobname attempts to interpret a search term as a job ID,\n// username, project ID, or job name by querying the database.\n//\n// Search logic (in priority order):\n// 1. If searchterm is numeric, treat as job ID (returned immediately)\n// 2. Try exact match in job.hpc_user column (username)\n// 3. Try LIKE match in hpc_user.name column (real name)\n// 4. Try exact match in job.project column (project ID)\n// 5. If no matches, return searchterm as jobname for GraphQL query\n//\n// This powers the searchbar functionality for flexible job searching.\n// Requires authenticated user for database lookups (returns empty if user is nil).\n//\n// Parameters:\n// - user: Authenticated user context, required for database access\n// - searchterm: Search string to interpret\n//\n// Returns up to one non-empty value among (jobid, username, project, jobname).\nfunc (r *JobRepository) FindUserOrProjectOrJobname(user *schema.User, searchterm string) (jobid string, username string, project string, jobname string) {\n\tif searchterm == \"\" {\n\t\treturn \"\", \"\", \"\", \"\"\n\t}\n\n\tif _, err := strconv.Atoi(searchterm); err == nil { // Return empty on successful conversion: parent method will redirect for integer jobId\n\t\treturn searchterm, \"\", \"\", \"\"\n\t} else { // Has to have letters and logged-in user for other guesses\n\t\tif user != nil {\n\t\t\t// Find username by username in job table (match)\n\t\t\turesult, _ := r.FindColumnValue(user, searchterm, \"job\", \"hpc_user\", \"hpc_user\", false)\n\t\t\tif uresult != \"\" {\n\t\t\t\treturn \"\", uresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find username by real name in hpc_user table (like)\n\t\t\tnresult, _ := r.FindColumnValue(user, searchterm, \"hpc_user\", \"username\", \"name\", true)\n\t\t\tif nresult != \"\" {\n\t\t\t\treturn \"\", nresult, \"\", \"\"\n\t\t\t}\n\t\t\t// Find projectId by projectId in job table (match)\n\t\t\tpresult, _ := r.FindColumnValue(user, searchterm, \"job\", \"project\", \"project\", false)\n\t\t\tif presult != \"\" {\n\t\t\t\treturn \"\", \"\", presult, \"\"\n\t\t\t}\n\t\t}\n\t\t// Return searchterm if no match before: Forward as jobname query to GQL in handleSearchbar function\n\t\treturn \"\", \"\", \"\", searchterm\n\t}\n}\n\nvar (\n\tErrNotFound = errors.New(\"no such jobname, project or user\")\n\tErrForbidden = errors.New(\"not authorized\")\n)\n\n// FindColumnValue performs a generic column lookup in a database table with role-based access control.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - searchterm: Value to search for (exact match or LIKE pattern)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n// - isLike: If true, use LIKE with wildcards; if false, use exact equality\n//\n// Returns the first matching value, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValue(user *schema.User, searchterm string, table string, selectColumn string, whereColumn string, isLike bool) (result string, err error) {\n\tif user == nil {\n\t\treturn \"\", fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\tcompareStr := \" = ?\"\n\tquery := searchterm\n\tif isLike {\n\t\tcompareStr = \" LIKE ?\"\n\t\tquery = \"%\" + searchterm + \"%\"\n\t}\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\ttheQuery := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+compareStr, query)\n\n\t\terr := theQuery.RunWith(r.stmtCache).QueryRow().Scan(&result)\n\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Warnf(\"Error while querying FindColumnValue (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn \"\", fmt.Errorf(\"failed to find column value: %w\", err)\n\t\t} else if err == nil {\n\t\t\treturn result, nil\n\t\t}\n\t\treturn \"\", ErrNotFound\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn \"\", ErrForbidden\n\t}\n}\n\n// FindColumnValues performs a generic column lookup returning multiple matches with role-based access control.\n// Similar to FindColumnValue but returns all matching values instead of just the first.\n// Only users with admin, support, or manager roles can execute this query.\n//\n// Parameters:\n// - user: User context for authorization check\n// - query: Search pattern (always uses LIKE with wildcards)\n// - table: Database table name to query\n// - selectColumn: Column name to return in results\n// - whereColumn: Column name to filter on\n//\n// Returns a slice of matching values, ErrForbidden if user lacks permission,\n// or ErrNotFound if no matches are found.\nfunc (r *JobRepository) FindColumnValues(user *schema.User, query string, table string, selectColumn string, whereColumn string) (results []string, err error) {\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"user cannot be nil\")\n\t}\n\n\temptyResult := make([]string, 0)\n\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\trows, err := sq.Select(table+\".\"+selectColumn).Distinct().From(table).\n\t\t\tWhere(table+\".\"+whereColumn+\" LIKE ?\", fmt.Sprint(\"%\", query, \"%\")).\n\t\t\tRunWith(r.stmtCache).Query()\n\t\tif err != nil && err != sql.ErrNoRows {\n\t\t\tcclog.Errorf(\"Error while querying FindColumnValues (table=%s, column=%s): %v\", table, selectColumn, err)\n\t\t\treturn emptyResult, fmt.Errorf(\"failed to find column values: %w\", err)\n\t\t} else if err == nil {\n\t\t\tdefer rows.Close()\n\t\t\tfor rows.Next() {\n\t\t\t\tvar result string\n\t\t\t\terr := rows.Scan(&result)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Warnf(\"Error while scanning rows in FindColumnValues: %v\", err)\n\t\t\t\t\treturn emptyResult, fmt.Errorf(\"failed to scan column value: %w\", err)\n\t\t\t\t}\n\t\t\t\tresults = append(results, result)\n\t\t\t}\n\t\t\treturn results, nil\n\t\t}\n\t\treturn emptyResult, ErrNotFound\n\n\t} else {\n\t\tcclog.Infof(\"Non-Admin User %s : Requested Query '%s' on table '%s' : Forbidden\", user.Name, query, table)\n\t\treturn emptyResult, ErrForbidden\n\t}\n}\n\n// Partitions returns a list of distinct cluster partitions for a given cluster.\n// Results are cached with a 1-hour TTL to improve performance.\n//\n// Parameters:\n// - cluster: Cluster name to query partitions for\n//\n// Returns a slice of partition names or an error if the database query fails.\nfunc (r *JobRepository) Partitions(cluster string) ([]string, error) {\n\tvar err error\n\tstart := time.Now()\n\tpartitions := r.cache.Get(\"partitions:\"+cluster, func() (any, time.Duration, int) {\n\t\tparts := []string{}\n\t\tif err = r.DB.Select(&parts, `SELECT DISTINCT job.cluster_partition FROM job WHERE job.cluster = ?;`, cluster); err != nil {\n\t\t\treturn nil, 0, 1000\n\t\t}\n\n\t\treturn parts, 1 * time.Hour, 1\n\t})\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n\treturn partitions.([]string), nil\n}\n\n// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n// Hosts with zero jobs running on them will not show up!\nfunc (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n\tstart := time.Now()\n\tsubclusters := make(map[string]map[string]int)\n\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n\t}\n\n\tvar raw []byte\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\traw = raw[0:0]\n\t\tvar resources []*schema.Resource\n\t\tvar subcluster string\n\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n\t\t}\n\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n\t\t}\n\n\t\thosts, ok := subclusters[subcluster]\n\t\tif !ok {\n\t\t\thosts = make(map[string]int)\n\t\t\tsubclusters[subcluster] = hosts\n\t\t}\n\n\t\tfor _, resource := range resources {\n\t\t\thosts[resource.Hostname] += 1\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n\treturn subclusters, nil\n}\n\n// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n// This is typically called periodically to clean up stuck or orphaned jobs.\n//\n// Jobs are marked with:\n// - monitoring_status: MonitoringStatusArchivingFailed\n// - duration: 0\n// - job_state: JobStateFailed\n//\n// Parameters:\n// - seconds: Grace period beyond walltime before marking as failed\n//\n// Returns an error if the database update fails.\n// Logs the number of jobs marked as failed if any were affected.\nfunc (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n\tstart := time.Now()\n\tcurrentTime := time.Now().Unix()\n\tres, err := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n\t\tSet(\"duration\", 0).\n\t\tSet(\"job_state\", schema.JobStateFailed).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.walltime > 0\").\n\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n\t\tRunWith(r.DB).Exec()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n\t}\n\n\trowsAffected, err := res.RowsAffected()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n\t}\n\n\tif rowsAffected > 0 {\n\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n\t}\n\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n\treturn nil\n}\n\n// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n//\n// Parameters:\n// - tagID: Database ID of the tag to search for\n//\n// Returns a slice of job IDs or an error if the query fails.\nfunc (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n\tquery := sq.Select(\"job.id\").From(\"job\").\n\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n\t}\n\tdefer rows.Close()\n\n\tjobIds := make([]int64, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar jobID int64\n\n\t\tif err := rows.Scan(&jobID); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n\t\t}\n\n\t\tjobIds = append(jobIds, jobID)\n\t}\n\n\treturn jobIds, nil\n}\n\n// FindRunningJobs returns all currently running jobs for a specific cluster.\n// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n//\n// Parameters:\n// - cluster: Cluster name to filter jobs\n//\n// Returns a slice of running job objects or an error if the query fails.\nfunc (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n\tquery := sq.Select(jobColumns...).From(\"job\").\n\t\tWhere(\"job.cluster = ?\", cluster).\n\t\tWhere(\"job.job_state = 'running'\").\n\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n\treturn jobs, nil\n}\n\n// UpdateDuration recalculates and updates the duration field for all running jobs.\n// Called periodically to keep job durations current without querying individual jobs.\n//\n// Duration is calculated as: current_time - job.start_time\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateDuration() error {\n\tstmnt := sq.Update(\"job\").\n\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n\t\tWhere(\"job_state = 'running'\")\n\n\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// FindJobsBetween returns jobs within a specified time range.\n// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n// Optionally excludes tagged jobs from results.\n//\n// Parameters:\n// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n// - startTimeEnd: Unix timestamp for range end\n// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n//\n// Returns a slice of jobs or an error if the time range is invalid or query fails.\nfunc (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n\tvar query sq.SelectBuilder\n\n\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n\t}\n\n\tif startTimeBegin == 0 {\n\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n\t} else {\n\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n\t}\n\n\tswitch omitTagged {\n\tcase \"all\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n\tcase \"user\":\n\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n\t}\n\n\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n\treturn jobs, nil\n}\n\n// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n//\n// Parameters:\n// - job: Database ID of the job to update\n// - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n//\n// Returns an error if the database update fails.\nfunc (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n\t// Invalidate cache entries as monitoring status affects job state\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", job)\n\n\tif _, err = stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while updating monitoring status for job %d: %v\", job, err)\n\t\treturn fmt.Errorf(\"failed to update monitoring status for job %d: %w\", job, err)\n\t}\n\treturn nil\n}\n\n// Execute runs a Squirrel UpdateBuilder statement against the database.\n// This is a generic helper for executing pre-built update queries.\n//\n// Parameters:\n// - stmt: Squirrel UpdateBuilder with prepared update query\n//\n// Returns an error if the execution fails.\nfunc (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n\t}\n\n\treturn nil\n}\n\n// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n// This is a builder helper used when constructing multi-field update queries.\n//\n// Parameters:\n// - stmt: Existing UpdateBuilder to modify\n// - monitoringStatus: Monitoring status value to set\n//\n// Returns the modified UpdateBuilder for method chaining.\nfunc (r *JobRepository) MarkArchived(\n\tstmt sq.UpdateBuilder,\n\tmonitoringStatus int32,\n) sq.UpdateBuilder {\n\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n}\n\n// UpdateEnergy calculates and updates the energy consumption for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// Energy calculation formula:\n// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n//\n// The calculation accounts for:\n// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n// - Rounding: Results rounded to 2 decimal places\nfunc (r *JobRepository) UpdateEnergy(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tenergyFootprint := make(map[string]float64)\n\n\t// Accumulate total energy across all energy-related metrics\n\ttotalEnergy := 0.0\n\tfor _, fp := range sc.EnergyFootprint {\n\t\t// Calculate energy for this specific metric\n\t\tmetricEnergy := 0.0\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n\t\t\tswitch sc.MetricConfig[i].Energy {\n\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n\t\t\tcase \"power\": // Metric in power units (Watts)\n\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n\t\t\t\t//\n\t\t\t\t// Breakdown:\n\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n\t\t\t\t// / 1000.0 = convert Wh to kWh\n\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n\t\t}\n\n\t\tenergyFootprint[fp] = metricEnergy\n\t\ttotalEnergy += metricEnergy\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n}\n\n// UpdateFootprint calculates and updates the performance footprint for a job.\n// This is called for running jobs during intermediate updates or when archiving.\n//\n// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n// The specific statistic type is defined in the cluster config's Footprint field.\n// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n//\n// Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\n// the average CPU load across all nodes as \"cpu_load_avg\": 85.3\nfunc (r *JobRepository) UpdateFootprint(\n\tstmt sq.UpdateBuilder,\n\tjobMeta *schema.Job,\n) (sq.UpdateBuilder, error) {\n\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n\tif err != nil {\n\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n\t\treturn stmt, err\n\t}\n\tfootprint := make(map[string]float64)\n\n\t// Build footprint map with metric_stattype as keys\n\tfor _, fp := range sc.Footprint {\n\t\t// Determine which statistic to use: avg, min, or max\n\t\t// First check global metric config, then cluster-specific config\n\t\tvar statType string\n\t\tfor _, gm := range archive.GlobalMetricList {\n\t\t\tif gm.Name == fp {\n\t\t\t\tstatType = gm.Footprint\n\t\t\t}\n\t\t}\n\n\t\t// Validate statistic type\n\t\tif statType != \"avg\" && statType != \"min\" && statType != \"max\" {\n\t\t\tcclog.Warnf(\"unknown statType for footprint update: %s\", statType)\n\t\t\treturn stmt, fmt.Errorf(\"unknown statType for footprint update: %s\", statType)\n\t\t}\n\n\t\t// Override with cluster-specific config if available\n\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n\t\t\tstatType = sc.MetricConfig[i].Footprint\n\t\t}\n\n\t\t// Store as \"metric_stattype\": value (e.g., \"cpu_load_avg\": 85.3)\n\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n\t\tfootprint[name] = LoadJobStat(jobMeta, fp, statType)\n\t}\n\n\tvar rawFootprint []byte\n\tif rawFootprint, err = json.Marshal(footprint); err != nil {\n\t\tcclog.Warnf(\"Error while marshaling footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n\t\treturn stmt, err\n\t}\n\n\treturn stmt.Set(\"footprint\", string(rawFootprint)), nil\n}\n\n// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n// that are currently in use by jobs that started before the given timestamp and\n// are still in running state.\n//\n// The timestamp parameter (ts) is compared against job.start_time to find\n// relevant jobs. Returns an error if the database query fails or row iteration\n// encounters errors. Individual row parsing errors are logged but don't fail\n// the entire operation.\nfunc (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n\t// Note: Query expects index on (job_state, start_time) for optimal performance\n\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n\t\tWhere(\"job.start_time < ?\", ts).\n\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := q.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\t// Use a map of sets for efficient deduplication\n\tnodeSet := make(map[string]map[string]struct{})\n\n\tvar (\n\t\tcluster string\n\t\trawResources []byte\n\t\tresources []*schema.Resource\n\t\tskippedRows int\n\t)\n\n\tfor rows.Next() {\n\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row in GetUsedNodes: %v\", err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tresources = resources[:0] // Clear slice, keep capacity\n\t\tif err := json.Unmarshal(rawResources, &resources); err != nil {\n\t\t\tcclog.Warnf(\"Error unmarshaling resources for cluster %s: %v\", cluster, err)\n\t\t\tskippedRows++\n\t\t\tcontinue\n\t\t}\n\n\t\tif len(resources) == 0 {\n\t\t\tcclog.Debugf(\"Job in cluster %s has no resources\", cluster)\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, ok := nodeSet[cluster]; !ok {\n\t\t\tnodeSet[cluster] = make(map[string]struct{})\n\t\t}\n\n\t\tfor _, res := range resources {\n\t\t\tnodeSet[cluster][res.Hostname] = struct{}{}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating rows: %w\", err)\n\t}\n\n\tif skippedRows > 0 {\n\t\tcclog.Warnf(\"GetUsedNodes: Skipped %d rows due to parsing errors\", skippedRows)\n\t}\n\n\t// Convert sets to sorted slices\n\tnodeList := make(map[string][]string, len(nodeSet))\n\tfor cluster, nodes := range nodeSet {\n\t\tlist := make([]string, 0, len(nodes))\n\t\tfor node := range nodes {\n\t\t\tlist = append(list, node)\n\t\t}\n\t\tsort.Strings(list)\n\t\tnodeList[cluster] = list\n\t}\n\n\treturn nodeList, nil\n}\n","structuredPatch":[{"oldStart":1066,"oldLines":7,"newStart":1066,"newLines":7,"lines":[" // Note: Query expects index on (job_state, start_time) for optimal performance"," q := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\")."," Where(\"job.start_time < ?\", ts).","- Where(sq.Eq{\"job.job_state\": \"running\"})","+ Where(\"job.job_state = 'running'\")"," "," rows, err := q.RunWith(r.stmtCache).Query()"," if err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"604bdedd-91db-4e50-a7eb-0b541443aeda","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d9b09c8f-9f72-4f35-986e-fb422e1b4064","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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parameter)."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":168,"cache_read_input_tokens":20154,"cache_creation":{"ephemeral_5m_input_tokens":168,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DfGRT9N4KtAcHeTHtx","type":"assistant","uuid":"7327fe46-73ca-4f6a-abfd-7d58a7d43d9f","timestamp":"2026-03-13T14:14:44.539Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d9b09c8f-9f72-4f35-986e-fb422e1b4064","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7327fe46-73ca-4f6a-abfd-7d58a7d43d9f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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"/35/f06df74b51/0/prompt.txt" + }, + { + "metadata": "/35/f06df74b51/1/metadata.json", + "transcript": "/35/f06df74b51/1/full.jsonl", + "content_hash": "/35/f06df74b51/1/content_hash.txt", + "prompt": "" + } + ], + "token_usage": { + "input_tokens": 18, + "cache_creation_tokens": 104308, + "cache_read_tokens": 684096, + "output_tokens": 2173, + "api_call_count": 12 + } +} diff --git a/3a/40b75edd68/0/content_hash.txt b/3a/40b75edd68/0/content_hash.txt new file mode 100644 index 00000000..6ba08e5c --- /dev/null +++ b/3a/40b75edd68/0/content_hash.txt @@ -0,0 +1 @@ +sha256:8521fb86ed5997b5ff8ac7a596760337b5fd2e358c7862295fd3556b0b2a44fa \ No newline at end of file diff --git a/3a/40b75edd68/0/full.jsonl b/3a/40b75edd68/0/full.jsonl new file mode 100644 index 00000000..c914f41f --- /dev/null +++ b/3a/40b75edd68/0/full.jsonl @@ -0,0 +1,117 @@ +{"type":"file-history-snapshot","messageId":"6b855910-ce88-4a78-83b9-0468e6707024","snapshot":{"messageId":"6b855910-ce88-4a78-83b9-0468e6707024","trackedFileBackups":{},"timestamp":"2026-03-16T11:01:41.295Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"81a1a454-42e3-406a-9b33-4db2038fa9a3","toolUseID":"81a1a454-42e3-406a-9b33-4db2038fa9a3","timestamp":"2026-03-16T11:01:41.247Z","uuid":"540f5f91-e180-4fb7-9c65-29e05e35a850","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"540f5f91-e180-4fb7-9c65-29e05e35a850","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"maps\"`\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3.jsonl"},"uuid":"6b855910-ce88-4a78-83b9-0468e6707024","timestamp":"2026-03-16T11:01:41.156Z","planContent":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"maps\"`\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"6b855910-ce88-4a78-83b9-0468e6707024","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VGMkLLJGkro7ZpB1Mrmrs3","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me start by reading the relevant files to understand the current code."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4682,"cache_read_input_tokens":14320,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4682},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eNU68SWVsJ1J6xD3EV","type":"assistant","uuid":"3188fdce-217c-469e-b584-8a5cabff8faf","timestamp":"2026-03-16T11:01:44.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"3188fdce-217c-469e-b584-8a5cabff8faf","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VGMkLLJGkro7ZpB1Mrmrs3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015zPZ6S14vQuKHUnRNB24fX","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4682,"cache_read_input_tokens":14320,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4682},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eNU68SWVsJ1J6xD3EV","type":"assistant","uuid":"10710b01-4a18-4204-bda3-b7cc53b5f7c3","timestamp":"2026-03-16T11:01:44.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"10710b01-4a18-4204-bda3-b7cc53b5f7c3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015zPZ6S14vQuKHUnRNB24fX","toolUseID":"toolu_015zPZ6S14vQuKHUnRNB24fX","timestamp":"2026-03-16T11:01:44.984Z","uuid":"eba4dc44-b2fa-4be7-9632-53f59d3ea4c8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"10710b01-4a18-4204-bda3-b7cc53b5f7c3","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015zPZ6S14vQuKHUnRNB24fX","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n 28→type natsMessage struct {\n 29→\tsubject string\n 30→\tdata []byte\n 31→}\n 32→\n 33→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 34→// It mirrors the functionality of the REST API but uses NATS messaging with\n 35→// InfluxDB line protocol as the message format.\n 36→//\n 37→// # Message Format\n 38→//\n 39→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 40→// with the following structure:\n 41→//\n 42→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 43→//\n 44→// # Job Events\n 45→//\n 46→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 47→//\n 48→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 49→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 50→//\n 51→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 52→//\n 53→// Example job start message:\n 54→//\n 55→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 56→//\n 57→// # Node State Events\n 58→//\n 59→// Node state updates use the \"nodestate\" measurement with cluster information:\n 60→//\n 61→//\tnodestate event=\"{...JSON payload...}\" \n 62→//\n 63→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 64→//\n 65→// Example node state message:\n 66→//\n 67→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 68→type NatsAPI struct {\n 69→\tJobRepository *repository.JobRepository\n 70→\t// RepositoryMutex protects job creation operations from race conditions\n 71→\t// when checking for duplicate jobs during startJob calls.\n 72→\tRepositoryMutex sync.Mutex\n 73→\t// jobCh receives job event messages for processing by worker goroutines.\n 74→\tjobCh chan natsMessage\n 75→\t// nodeCh receives node state messages for processing by worker goroutines.\n 76→\tnodeCh chan natsMessage\n 77→}\n 78→\n 79→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n 80→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n 81→func NewNatsAPI() *NatsAPI {\n 82→\tjobConc := 8\n 83→\tnodeConc := 2\n 84→\n 85→\tif s := config.Keys.APISubjects; s != nil {\n 86→\t\tif s.JobConcurrency > 0 {\n 87→\t\t\tjobConc = s.JobConcurrency\n 88→\t\t}\n 89→\t\tif s.NodeConcurrency > 0 {\n 90→\t\t\tnodeConc = s.NodeConcurrency\n 91→\t\t}\n 92→\t}\n 93→\n 94→\tapi := &NatsAPI{\n 95→\t\tJobRepository: repository.GetJobRepository(),\n 96→\t\tjobCh: make(chan natsMessage, jobConc),\n 97→\t\tnodeCh: make(chan natsMessage, nodeConc),\n 98→\t}\n 99→\n 100→\t// Start worker goroutines\n 101→\tfor range jobConc {\n 102→\t\tgo api.jobWorker()\n 103→\t}\n 104→\tfor range nodeConc {\n 105→\t\tgo api.nodeWorker()\n 106→\t}\n 107→\n 108→\treturn api\n 109→}\n 110→\n 111→// jobWorker processes job event messages from the job channel.\n 112→func (api *NatsAPI) jobWorker() {\n 113→\tfor msg := range api.jobCh {\n 114→\t\tapi.handleJobEvent(msg.subject, msg.data)\n 115→\t}\n 116→}\n 117→\n 118→// nodeWorker processes node state messages from the node channel.\n 119→func (api *NatsAPI) nodeWorker() {\n 120→\tfor msg := range api.nodeCh {\n 121→\t\tapi.handleNodeState(msg.subject, msg.data)\n 122→\t}\n 123→}\n 124→\n 125→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 126→// Messages are delivered to buffered channels and processed by worker goroutines.\n 127→// Returns an error if the NATS client is not available or subscription fails.\n 128→func (api *NatsAPI) StartSubscriptions() error {\n 129→\tclient := nats.GetClient()\n 130→\tif client == nil {\n 131→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 132→\t\treturn nil\n 133→\t}\n 134→\n 135→\tif config.Keys.APISubjects != nil {\n 136→\t\ts := config.Keys.APISubjects\n 137→\n 138→\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n 139→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n 140→\t\t}); err != nil {\n 141→\t\t\treturn err\n 142→\t\t}\n 143→\n 144→\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n 145→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n 146→\t\t}); err != nil {\n 147→\t\t\treturn err\n 148→\t\t}\n 149→\n 150→\t\tcclog.Info(\"NATS API subscriptions started\")\n 151→\t}\n 152→\treturn nil\n 153→}\n 154→\n 155→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 156→// Validates that required tags and fields are present before processing.\n 157→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 158→\tfunction, ok := msg.GetTag(\"function\")\n 159→\tif !ok {\n 160→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 161→\t\treturn\n 162→\t}\n 163→\n 164→\tswitch function {\n 165→\tcase \"start_job\":\n 166→\t\tv, ok := msg.GetEventValue()\n 167→\t\tif !ok {\n 168→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 169→\t\t\treturn\n 170→\t\t}\n 171→\t\tapi.handleStartJob(v)\n 172→\n 173→\tcase \"stop_job\":\n 174→\t\tv, ok := msg.GetEventValue()\n 175→\t\tif !ok {\n 176→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 177→\t\t\treturn\n 178→\t\t}\n 179→\t\tapi.handleStopJob(v)\n 180→\n 181→\tdefault:\n 182→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 183→\t}\n 184→}\n 185→\n 186→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 187→// The message must be in line protocol format with measurement=\"job\" and include:\n 188→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 189→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 190→//\n 191→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 192→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 193→\tif len(data) == 0 {\n 194→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 195→\t\treturn\n 196→\t}\n 197→\n 198→\td := influx.NewDecoderWithBytes(data)\n 199→\n 200→\tfor d.Next() {\n 201→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 202→\t\tif err != nil {\n 203→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 204→\t\t\treturn\n 205→\t\t}\n 206→\n 207→\t\tif !m.IsEvent() {\n 208→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 209→\t\t\tcontinue\n 210→\t\t}\n 211→\n 212→\t\tif m.Name() == \"job\" {\n 213→\t\t\tapi.processJobEvent(m)\n 214→\t\t} else {\n 215→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 216→\t\t}\n 217→\t}\n 218→}\n 219→\n 220→// handleStartJob processes job start messages received via NATS.\n 221→// The payload parameter contains JSON following the schema.Job structure.\n 222→// Jobs are validated, checked for duplicates, and inserted into the database.\n 223→func (api *NatsAPI) handleStartJob(payload string) {\n 224→\tif payload == \"\" {\n 225→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 226→\t\treturn\n 227→\t}\n 228→\treq := schema.Job{\n 229→\t\tShared: \"none\",\n 230→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 231→\t}\n 232→\n 233→\tdec := json.NewDecoder(strings.NewReader(payload))\n 234→\tdec.DisallowUnknownFields()\n 235→\tif err := dec.Decode(&req); err != nil {\n 236→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 237→\t\treturn\n 238→\t}\n 239→\n 240→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 241→\treq.State = schema.JobStateRunning\n 242→\n 243→\tif err := importer.SanityChecks(&req); err != nil {\n 244→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 245→\t\treturn\n 246→\t}\n 247→\n 248→\tvar unlockOnce sync.Once\n 249→\tapi.RepositoryMutex.Lock()\n 250→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 251→\n 252→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 253→\tif err != nil && err != sql.ErrNoRows {\n 254→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 255→\t\treturn\n 256→\t}\n 257→\tif err == nil {\n 258→\t\tfor _, job := range jobs {\n 259→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 260→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 261→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 262→\t\t\t\treturn\n 263→\t\t\t}\n 264→\t\t}\n 265→\t}\n 266→\n 267→\t// When tags are present, insert directly into the job table so that the\n 268→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 269→\tvar id int64\n 270→\tif len(req.Tags) > 0 {\n 271→\t\tid, err = api.JobRepository.StartDirect(&req)\n 272→\t} else {\n 273→\t\tid, err = api.JobRepository.Start(&req)\n 274→\t}\n 275→\tif err != nil {\n 276→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 277→\t\treturn\n 278→\t}\n 279→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 280→\n 281→\tfor _, tag := range req.Tags {\n 282→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 283→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 284→\t\t\treturn\n 285→\t\t}\n 286→\t}\n 287→\n 288→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 289→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 290→}\n 291→\n 292→// handleStopJob processes job stop messages received via NATS.\n 293→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 294→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 295→func (api *NatsAPI) handleStopJob(payload string) {\n 296→\tif payload == \"\" {\n 297→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 298→\t\treturn\n 299→\t}\n 300→\tvar req StopJobAPIRequest\n 301→\n 302→\tdec := json.NewDecoder(strings.NewReader(payload))\n 303→\tdec.DisallowUnknownFields()\n 304→\tif err := dec.Decode(&req); err != nil {\n 305→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 306→\t\treturn\n 307→\t}\n 308→\n 309→\tif req.JobID == nil {\n 310→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 311→\t\treturn\n 312→\t}\n 313→\n 314→\tisCached := false\n 315→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 316→\tif err != nil {\n 317→\t\t// Not in cache, try main job table\n 318→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 319→\t\tif err != nil {\n 320→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 321→\t\t\treturn\n 322→\t\t}\n 323→\t} else {\n 324→\t\tisCached = true\n 325→\t}\n 326→\n 327→\tif job.State != schema.JobStateRunning {\n 328→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 329→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 330→\t\treturn\n 331→\t}\n 332→\n 333→\tif job.StartTime > req.StopTime {\n 334→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 335→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 336→\t\treturn\n 337→\t}\n 338→\n 339→\tif req.State != \"\" && !req.State.Valid() {\n 340→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 341→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 342→\t\treturn\n 343→\t} else if req.State == \"\" {\n 344→\t\treq.State = schema.JobStateCompleted\n 345→\t}\n 346→\n 347→\tjob.Duration = int32(req.StopTime - job.StartTime)\n 348→\tjob.State = req.State\n 349→\tapi.JobRepository.Mutex.Lock()\n 350→\tdefer api.JobRepository.Mutex.Unlock()\n 351→\n 352→\t// If the job is still in job_cache, transfer it to the job table first\n 353→\tif isCached {\n 354→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n 355→\t\tif err != nil {\n 356→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n 357→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n 358→\t\t\treturn\n 359→\t\t}\n 360→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n 361→\t\tjob.ID = &newID\n 362→\t}\n 363→\n 364→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n 365→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n 366→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n 367→\t\treturn\n 368→\t}\n 369→\n 370→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n 371→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n 372→\n 373→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n 374→\t\treturn\n 375→\t}\n 376→\n 377→\tarchiver.TriggerArchiving(job)\n 378→}\n 379→\n 380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 381→// Updates node states in the repository for all nodes in the payload.\n 382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 383→\tv, ok := msg.GetEventValue()\n 384→\tif !ok {\n 385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 386→\t\treturn\n 387→\t}\n 388→\n 389→\tvar req UpdateNodeStatesRequest\n 390→\n 391→\tdec := json.NewDecoder(strings.NewReader(v))\n 392→\tdec.DisallowUnknownFields()\n 393→\tif err := dec.Decode(&req); err != nil {\n 394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 395→\t\treturn\n 396→\t}\n 397→\n 398→\trepo := repository.GetNodeRepository()\n 399→\trequestReceived := time.Now().Unix()\n 400→\n 401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 402→\tfor _, node := range req.Nodes {\n 403→\t\tstate := determineState(node.States)\n 404→\t\tnodeState := schema.NodeStateDB{\n 405→\t\t\tTimeStamp: requestReceived,\n 406→\t\t\tNodeState: state,\n 407→\t\t\tCpusAllocated: node.CpusAllocated,\n 408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 409→\t\t\tGpusAllocated: node.GpusAllocated,\n 410→\t\t\tHealthState: schema.MonitoringStateFull,\n 411→\t\t\tJobsRunning: node.JobsRunning,\n 412→\t\t}\n 413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 414→\t\t\tHostname: node.Hostname,\n 415→\t\t\tCluster: req.Cluster,\n 416→\t\t\tNodeState: &nodeState,\n 417→\t\t})\n 418→\t}\n 419→\n 420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n 422→\t}\n 423→\n 424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 425→}\n 426→\n 427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 429→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 430→//\n 431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 433→\tif len(data) == 0 {\n 434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 435→\t\treturn\n 436→\t}\n 437→\n 438→\td := influx.NewDecoderWithBytes(data)\n 439→\n 440→\tfor d.Next() {\n 441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 442→\t\tif err != nil {\n 443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 444→\t\t\treturn\n 445→\t\t}\n 446→\n 447→\t\tif !m.IsEvent() {\n 448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 449→\t\t\tcontinue\n 450→\t\t}\n 451→\n 452→\t\tif m.Name() == \"nodestate\" {\n 453→\t\t\tapi.processNodestateEvent(m)\n 454→\t\t} else {\n 455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 456→\t\t}\n 457→\t}\n 458→}\n 459→"}]},"uuid":"ce8667dc-45aa-4a64-9769-1f862599d2b6","timestamp":"2026-03-16T11:01:44.983Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":459,"startLine":1,"totalLines":459}},"sourceToolAssistantUUID":"10710b01-4a18-4204-bda3-b7cc53b5f7c3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"ce8667dc-45aa-4a64-9769-1f862599d2b6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VGMkLLJGkro7ZpB1Mrmrs3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QUKfqdJBfp65Z8vhVkHcQj","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4682,"cache_read_input_tokens":14320,"output_tokens":154,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4682,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eNU68SWVsJ1J6xD3EV","type":"assistant","uuid":"dd839d56-6524-4a23-a6b9-c57a0c2a7cc3","timestamp":"2026-03-16T11:01:45.146Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"dd839d56-6524-4a23-a6b9-c57a0c2a7cc3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QUKfqdJBfp65Z8vhVkHcQj","toolUseID":"toolu_01QUKfqdJBfp65Z8vhVkHcQj","timestamp":"2026-03-16T11:01:45.152Z","uuid":"099004b0-a4d5-4f85-8e73-57f9229c9af6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"dd839d56-6524-4a23-a6b9-c57a0c2a7cc3","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QUKfqdJBfp65Z8vhVkHcQj","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 120→\tfor _, node := range req.Nodes {\n 121→\t\tstate := determineState(node.States)\n 122→\t\thealthState := schema.MonitoringStateFailed\n 123→\t\tvar healthMetrics string\n 124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 125→\t\t\thealthState = result.State\n 126→\t\t\thealthMetrics = result.HealthMetrics\n 127→\t\t}\n 128→\t\tnodeState := schema.NodeStateDB{\n 129→\t\t\tTimeStamp: requestReceived,\n 130→\t\t\tNodeState: state,\n 131→\t\t\tCpusAllocated: node.CpusAllocated,\n 132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 133→\t\t\tGpusAllocated: node.GpusAllocated,\n 134→\t\t\tHealthState: healthState,\n 135→\t\t\tHealthMetrics: healthMetrics,\n 136→\t\t\tJobsRunning: node.JobsRunning,\n 137→\t\t}\n 138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 139→\t\t\tHostname: node.Hostname,\n 140→\t\t\tCluster: req.Cluster,\n 141→\t\t\tNodeState: &nodeState,\n 142→\t\t})\n 143→\t}\n 144→\n 145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n 147→\t}\n 148→\n 149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 150→}\n 151→"}]},"uuid":"788f5677-70c3-4f2a-8231-4d365eb0e476","timestamp":"2026-03-16T11:01:45.151Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":151,"startLine":1,"totalLines":151}},"sourceToolAssistantUUID":"dd839d56-6524-4a23-a6b9-c57a0c2a7cc3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"788f5677-70c3-4f2a-8231-4d365eb0e476","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013dHjzTkkMgwKGqq4t7WkJL","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EtkCCkYICxgCKkD2DO2/DkwZWmnq+YXJ+ckTsc7YNqsNDb9Zwo6k0nasP13pUvxu4/7qFu/tGcmDDlzi76TKYG+P0q27BEvvGiwyEgwIlv1QkKN4tFmsIiEaDMczFqNIFpj+hvJGOCIwICkjE9V8uTGjG2qy7fs+nR9YPoehVXCX4eK3TrcVXD6BtpGJcQjsIKsAJq5DaZmAKsABFL80quhyyMR7xwbQ4a4aElhyLBKVmFqb0o2s7UMCtHDA4UO8UtUHYmlGJ836km0YomY1dg2hluBLUQo5Yc/fw7AnBEPii3ZlAe+h8qO7un5geb2+F10y2J1eGBdicUTdpY6lapsnO1gBPZrDj0GNkK9KqIsn59OtEHsng9+kEEt3vZr+64mYjYFRIq2Zk2dPXYdsg6LkSNbZEydfPbnku2DPXLmmDM+SYfM6YMT6PqZeN8FBE6F0KjjrxmHvBRxpGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9126,"cache_read_input_tokens":19002,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9126},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eNkikmdQ8cqW6MVgB1","type":"assistant","uuid":"ae05ed0e-c86f-441c-8d1a-da190b5035b0","timestamp":"2026-03-16T11:01:50.660Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"ae05ed0e-c86f-441c-8d1a-da190b5035b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013dHjzTkkMgwKGqq4t7WkJL","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have both files. I need to:\n1. Add missing imports to `nats.go`\n2. Rewrite `processNodestateEvent` to include health check logic"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9126,"cache_read_input_tokens":19002,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9126},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eNkikmdQ8cqW6MVgB1","type":"assistant","uuid":"0b48f518-ece3-4d48-884d-37a72d408f1f","timestamp":"2026-03-16T11:01:51.593Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" import ("," \"database/sql\""," \"encoding/json\"","+ \"maps\""," \"strings\""," \"sync\""," \"time\""]},{"oldStart":15,"oldLines":7,"newStart":16,"newLines":10,"lines":[" \"github.com/ClusterCockpit/cc-backend/internal/archiver\""," \"github.com/ClusterCockpit/cc-backend/internal/config\""," \"github.com/ClusterCockpit/cc-backend/internal/importer\"","+ \"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\""," \"github.com/ClusterCockpit/cc-backend/internal/repository\"","+ \"github.com/ClusterCockpit/cc-backend/pkg/archive\"","+ \"github.com/ClusterCockpit/cc-backend/pkg/metricstore\""," cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""," lp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\""," \"github.com/ClusterCockpit/cc-lib/v2/nats\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2a28a8a4-17eb-43be-949b-50bc53eb997b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"26984c46-f6e3-4cf1-9591-11c9bdeddda5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TXGBLG8fYy8CFp24xMdVgb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WJ1FHQ7D85cfzjb8MN9bdA","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","new_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\t// Build nodeList per subcluster for health check\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":636,"cache_read_input_tokens":28128,"output_tokens":1186,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":636,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ePV7vV5nNMj53eM7bz","type":"assistant","uuid":"52e6e038-207f-4ba4-bd98-7b54ad27dad1","timestamp":"2026-03-16T11:02:06.964Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"52e6e038-207f-4ba4-bd98-7b54ad27dad1","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01WJ1FHQ7D85cfzjb8MN9bdA","toolUseID":"toolu_01WJ1FHQ7D85cfzjb8MN9bdA","timestamp":"2026-03-16T11:02:06.973Z","uuid":"0529d6b9-57af-4a43-9c8c-5a61ec84e1b2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"52e6e038-207f-4ba4-bd98-7b54ad27dad1","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WJ1FHQ7D85cfzjb8MN9bdA","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"148cb96d-32b6-4842-93a0-445ebea5e228","timestamp":"2026-03-16T11:02:06.973Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\t// Build nodeList per subcluster for health check\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Perform health check against metric store\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"maps\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":402,"oldLines":16,"newStart":402,"newLines":55,"lines":[" repo := repository.GetNodeRepository()"," requestReceived := time.Now().Unix()"," ","+ // Build nodeList per subcluster for health check","+ m := make(map[string][]string)","+ metricNames := make(map[string][]string)","+ healthResults := make(map[string]metricstore.HealthCheckResult)","+","+ for _, node := range req.Nodes {","+ if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {","+ m[sc] = append(m[sc], node.Hostname)","+ }","+ }","+","+ for sc := range m {","+ if sc != \"\" {","+ metricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)","+ metricNames[sc] = metricListToNames(metricList)","+ }","+ }","+","+ // Perform health check against metric store","+ healthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)","+ if err != nil {","+ cclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)","+ } else {","+ for sc, nl := range m {","+ if sc != \"\" {","+ if results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {","+ maps.Copy(healthResults, results)","+ }","+ }","+ }","+ }","+"," updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))"," for _, node := range req.Nodes {"," state := determineState(node.States)","+ healthState := schema.MonitoringStateFailed","+ var healthMetrics string","+ if result, ok := healthResults[node.Hostname]; ok {","+ healthState = result.State","+ healthMetrics = result.HealthMetrics","+ }"," nodeState := schema.NodeStateDB{"," TimeStamp: requestReceived,"," NodeState: state,"," CpusAllocated: node.CpusAllocated,"," MemoryAllocated: node.MemoryAllocated,"," GpusAllocated: node.GpusAllocated,","- HealthState: schema.MonitoringStateFull,","+ HealthState: healthState,","+ HealthMetrics: healthMetrics,"," JobsRunning: node.JobsRunning,"," }"," updates = append(updates, repository.NodeStateUpdate{"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"52e6e038-207f-4ba4-bd98-7b54ad27dad1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"148cb96d-32b6-4842-93a0-445ebea5e228","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VswofgkzWAXGHRC1UmtmG7","type":"message","role":"assistant","content":[{"type":"text","text":"The diagnostics show unused imports, likely because the LSP hasn't caught up yet. Let me verify by building."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1461,"cache_read_input_tokens":28764,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1461},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eQMwbfPBfQmkHMRFYQ","type":"assistant","uuid":"2b7a66a7-e121-48dd-a76a-ccd5f95421e0","timestamp":"2026-03-16T11:02:12.813Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"2b7a66a7-e121-48dd-a76a-ccd5f95421e0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VswofgkzWAXGHRC1UmtmG7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015YNmvZ7YHXH6yJiSgiXS4f","name":"Bash","input":{"command":"go build ./...","description":"Build to verify compilation","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1461,"cache_read_input_tokens":28764,"output_tokens":136,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1461,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eQMwbfPBfQmkHMRFYQ","type":"assistant","uuid":"90a218ba-a6ff-49a7-ac77-67f489b3f8f2","timestamp":"2026-03-16T11:02:13.971Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"90a218ba-a6ff-49a7-ac77-67f489b3f8f2","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015YNmvZ7YHXH6yJiSgiXS4f","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"1ff03a21-9c46-45d9-a11e-519b364864d0","timestamp":"2026-03-16T11:02:19.116Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"90a218ba-a6ff-49a7-ac77-67f489b3f8f2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"1ff03a21-9c46-45d9-a11e-519b364864d0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019N4HHykFLnnRJZTkz1TVhx","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeds. Now let me run the NATS tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":135,"cache_read_input_tokens":30225,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":135},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eRFhq29kqLzb1wzih2","type":"assistant","uuid":"9967b00a-86f5-4f48-9600-22b377252e22","timestamp":"2026-03-16T11:02:21.946Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"9967b00a-86f5-4f48-9600-22b377252e22","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019N4HHykFLnnRJZTkz1TVhx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ri93GdxMDAJASoXPXA7YAe","name":"Bash","input":{"command":"go test ./internal/api/ -run TestNats -v 2>&1","description":"Run NATS-related tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":135,"cache_read_input_tokens":30225,"output_tokens":125,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":135,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eRFhq29kqLzb1wzih2","type":"assistant","uuid":"5ce0bbf2-350a-4cdd-872a-e7b54bf3b3c3","timestamp":"2026-03-16T11:02:22.822Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"5ce0bbf2-350a-4cdd-872a-e7b54bf3b3c3","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ri93GdxMDAJASoXPXA7YAe","type":"tool_result","content":"=== RUN TestNatsHandleStartJob\n<6>[INFO] 2026/03/16 12:02:24 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:24 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:24 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 12:02:24 archive.go:230: Load archive version 3\n<4>[WARNING] 2026/03/16 12:02:24 auth.go:185: environment variable 'SESSION_KEY' not set (will use non-persistent random key)\n<6>[INFO] 2026/03/16 12:02:24 auth.go:223: Missing LDAP configuration: No LDAP support!\n<4>[WARNING] 2026/03/16 12:02:24 jwt.go:52: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO] 2026/03/16 12:02:24 jwtSession.go:37: JWT Session authenticator successfully registered\n<4>[WARNING] 2026/03/16 12:02:24 jwtCookieSession.go:31: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO] 2026/03/16 12:02:24 auth.go:241: jwtCookieSessionAuth init failed: No JWT cookie login support!\n=== RUN TestNatsHandleStartJob/valid_job_start\n<6>[INFO] 2026/03/16 12:02:24 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=1001, user=testuser1, startTime=1234567890\n=== RUN TestNatsHandleStartJob/invalid_JSON\n<3>[ERROR] 2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: cannot unmarshal string into Go struct field Job.jobId of type int64\n=== RUN TestNatsHandleStartJob/missing_required_fields\n<3>[ERROR] 2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n=== RUN TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields)\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: unknown field \"unknownField\"\n=== RUN TestNatsHandleStartJob/job_with_tags\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:287: NATS start job: adding tag to new job 2 failed: error while checking tag operation auth: no user in context\n<6>[INFO] 2026/03/16 12:02:25 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:25 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:25 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJob (0.54s)\n --- PASS: TestNatsHandleStartJob/valid_job_start (0.10s)\n --- PASS: TestNatsHandleStartJob/invalid_JSON (0.10s)\n --- PASS: TestNatsHandleStartJob/missing_required_fields (0.10s)\n --- PASS: TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields) (0.10s)\n --- PASS: TestNatsHandleStartJob/job_with_tags (0.11s)\n=== RUN TestNatsHandleStopJob\n<6>[INFO] 2026/03/16 12:02:25 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:25 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:25 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890\n=== RUN TestNatsHandleStopJob/valid_job_stop_-_completed\n<4>[WARNING] 2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890, duration=3600, state=completed\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2001: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 1) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN TestNatsHandleStopJob/valid_job_stop_-_failed\n<6>[INFO] 2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900\n<4>[WARNING] 2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 2): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900, duration=2000, state=failed\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2002: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 2) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN TestNatsHandleStopJob/invalid_JSON\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:309: NATS job stop: parsing request failed: json: cannot unmarshal string into Go struct field StopJobAPIRequest.jobId of type int64\n=== RUN TestNatsHandleStopJob/missing_jobId\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN TestNatsHandleStopJob/invalid_job_state\n<6>[INFO] 2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2003, user=testuser, startTime=1234567910\n<4>[WARNING] 2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:344: NATS job stop: jobId 2003 (id 131105782031096) on testcluster: invalid job state: \"invalid_state\"\n=== RUN TestNatsHandleStopJob/stopTime_before_startTime\n<6>[INFO] 2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2004, user=testuser, startTime=1234567920\n<4>[WARNING] 2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:338: NATS job stop: jobId 2004 (id 131105782034360) on testcluster: stopTime 1234567900 must be >= startTime 1234567920\n=== RUN TestNatsHandleStopJob/job_not_found\n<4>[WARNING] 2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<4>[WARNING] 2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:324: NATS job stop: finding job failed: sql: no rows in result set\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStopJob (1.17s)\n --- PASS: TestNatsHandleStopJob/valid_job_stop_-_completed (0.10s)\n --- PASS: TestNatsHandleStopJob/valid_job_stop_-_failed (0.21s)\n --- PASS: TestNatsHandleStopJob/invalid_JSON (0.10s)\n --- PASS: TestNatsHandleStopJob/missing_jobId (0.10s)\n --- PASS: TestNatsHandleStopJob/invalid_job_state (0.20s)\n --- PASS: TestNatsHandleStopJob/stopTime_before_startTime (0.20s)\n --- PASS: TestNatsHandleStopJob/job_not_found (0.10s)\n=== RUN TestNatsHandleNodeState\n<6>[INFO] 2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleNodeState/valid_node_state_update\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN TestNatsHandleNodeState/multiple_nodes\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN TestNatsHandleNodeState/invalid_JSON_in_event_field\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:398: NATS nodestate: parsing request failed: json: cannot unmarshal string into Go struct field UpdateNodeStatesRequest.nodes of type []schema.NodePayload\n=== RUN TestNatsHandleNodeState/empty_nodes_array\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN TestNatsHandleNodeState/invalid_line_protocol_format\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN TestNatsHandleNodeState/empty_data\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:477: NATS test.subject: received empty message\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeState (0.36s)\n --- PASS: TestNatsHandleNodeState/valid_node_state_update (0.05s)\n --- PASS: TestNatsHandleNodeState/multiple_nodes (0.05s)\n --- PASS: TestNatsHandleNodeState/invalid_JSON_in_event_field (0.05s)\n --- PASS: TestNatsHandleNodeState/empty_nodes_array (0.05s)\n --- PASS: TestNatsHandleNodeState/invalid_line_protocol_format (0.05s)\n --- PASS: TestNatsHandleNodeState/empty_data (0.05s)\n=== RUN TestNatsProcessJobEvent\n<6>[INFO] 2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsProcessJobEvent/start_job_function\n<6>[INFO] 2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=3001, user=testuser, startTime=1234567890\n=== RUN TestNatsProcessJobEvent/missing_function_tag\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:164: Job event is missing required tag 'function': measurement=job\n=== RUN TestNatsProcessJobEvent/unknown_function\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:186: Unknown job event function 'unknown_function', expected 'start_job' or 'stop_job'\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsProcessJobEvent (0.21s)\n --- PASS: TestNatsProcessJobEvent/start_job_function (0.05s)\n --- PASS: TestNatsProcessJobEvent/missing_function_tag (0.05s)\n --- PASS: TestNatsProcessJobEvent/unknown_function (0.05s)\n=== RUN TestNatsHandleJobEvent\n<6>[INFO] 2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleJobEvent/valid_influx_line_protocol\n<6>[INFO] 2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=4001, user=testuser, startTime=1234567890\n=== RUN TestNatsHandleJobEvent/invalid_influx_line_protocol\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:207: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN TestNatsHandleJobEvent/empty_data\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:198: NATS test.subject: received empty message\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEvent (0.20s)\n --- PASS: TestNatsHandleJobEvent/valid_influx_line_protocol (0.05s)\n --- PASS: TestNatsHandleJobEvent/invalid_influx_line_protocol (0.05s)\n --- PASS: TestNatsHandleJobEvent/empty_data (0.05s)\n=== RUN TestNatsHandleJobEventEdgeCases\n<6>[INFO] 2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data)\n=== RUN TestNatsHandleJobEventEdgeCases/wrong_measurement_name\n=== RUN TestNatsHandleJobEventEdgeCases/missing_event_field\n=== RUN TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: test\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEventEdgeCases (0.30s)\n --- PASS: TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data) (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/wrong_measurement_name (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/missing_event_field (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload (0.05s)\n=== RUN TestNatsHandleNodeStateEdgeCases\n<6>[INFO] 2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster , skipping health check: [METRICDISPATCH]> no metric data repository configured '-'\n=== RUN TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:38: unexpected character 'c' after field \"event\"\n=== RUN TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'host-ñ123' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host host-ñ123\n=== RUN TestNatsHandleNodeStateEdgeCases/very_large_node_count\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node1' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node1\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node2' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node2\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node3' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node3\n=== RUN TestNatsHandleNodeStateEdgeCases/timestamp_in_past\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO] 2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:264: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 131105780598920)\n<6>[INFO] 2026/03/16 12:02:28 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:28 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:28 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t3.952s","is_error":false}]},"uuid":"f37c2bde-401d-4bde-be0a-9ca6d5866e7f","timestamp":"2026-03-16T11:02:28.095Z","toolUseResult":{"stdout":"=== RUN TestNatsHandleStartJob\n<6>[INFO] 2026/03/16 12:02:24 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:24 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:24 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 12:02:24 archive.go:230: Load archive version 3\n<4>[WARNING] 2026/03/16 12:02:24 auth.go:185: environment variable 'SESSION_KEY' not set (will use non-persistent random key)\n<6>[INFO] 2026/03/16 12:02:24 auth.go:223: Missing LDAP configuration: No LDAP support!\n<4>[WARNING] 2026/03/16 12:02:24 jwt.go:52: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO] 2026/03/16 12:02:24 jwtSession.go:37: JWT Session authenticator successfully registered\n<4>[WARNING] 2026/03/16 12:02:24 jwtCookieSession.go:31: environment variables 'JWT_PUBLIC_KEY' or 'JWT_PRIVATE_KEY' not set (token based authentication will not work)\n<6>[INFO] 2026/03/16 12:02:24 auth.go:241: jwtCookieSessionAuth init failed: No JWT cookie login support!\n=== RUN TestNatsHandleStartJob/valid_job_start\n<6>[INFO] 2026/03/16 12:02:24 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=1001, user=testuser1, startTime=1234567890\n=== RUN TestNatsHandleStartJob/invalid_JSON\n<3>[ERROR] 2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: cannot unmarshal string into Go struct field Job.jobId of type int64\n=== RUN TestNatsHandleStartJob/missing_required_fields\n<3>[ERROR] 2026/03/16 12:02:24 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n=== RUN TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields)\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:240: NATS start job: parsing request failed: json: unknown field \"unknownField\"\n=== RUN TestNatsHandleStartJob/job_with_tags\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:287: NATS start job: adding tag to new job 2 failed: error while checking tag operation auth: no user in context\n<6>[INFO] 2026/03/16 12:02:25 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:25 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:25 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJob (0.54s)\n --- PASS: TestNatsHandleStartJob/valid_job_start (0.10s)\n --- PASS: TestNatsHandleStartJob/invalid_JSON (0.10s)\n --- PASS: TestNatsHandleStartJob/missing_required_fields (0.10s)\n --- PASS: TestNatsHandleStartJob/job_with_unknown_fields_(should_fail_due_to_DisallowUnknownFields) (0.10s)\n --- PASS: TestNatsHandleStartJob/job_with_tags (0.11s)\n=== RUN TestNatsHandleStopJob\n<6>[INFO] 2026/03/16 12:02:25 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:25 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:25 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890\n=== RUN TestNatsHandleStopJob/valid_job_stop_-_completed\n<4>[WARNING] 2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 1): cluster=testcluster, jobId=2001, user=testuser, startTime=1234567890, duration=3600, state=completed\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2001: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 1) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN TestNatsHandleStopJob/valid_job_stop_-_failed\n<6>[INFO] 2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900\n<4>[WARNING] 2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 12:02:25 nats.go:374: NATS: archiving job (dbid: 2): cluster=testcluster, jobId=2002, user=testuser, startTime=1234567900, duration=2000, state=failed\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:100: failed to access metricDataRepo for cluster testcluster-sc1: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/metricdispatch/dataLoader.go:225: error in cached dataset for job 2002: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go:64: Error wile loading job data for archiving\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:139: archiving job (dbid: 2) failed at archiving job step: [METRICDISPATCH]> no metric data repository configured 'testcluster-sc1'\n=== RUN TestNatsHandleStopJob/invalid_JSON\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:309: NATS job stop: parsing request failed: json: cannot unmarshal string into Go struct field StopJobAPIRequest.jobId of type int64\n=== RUN TestNatsHandleStopJob/missing_jobId\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN TestNatsHandleStopJob/invalid_job_state\n<6>[INFO] 2026/03/16 12:02:25 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2003, user=testuser, startTime=1234567910\n<4>[WARNING] 2026/03/16 12:02:25 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR] 2026/03/16 12:02:25 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:344: NATS job stop: jobId 2003 (id 131105782031096) on testcluster: invalid job state: \"invalid_state\"\n=== RUN TestNatsHandleStopJob/stopTime_before_startTime\n<6>[INFO] 2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=2004, user=testuser, startTime=1234567920\n<4>[WARNING] 2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:338: NATS job stop: jobId 2004 (id 131105782034360) on testcluster: stopTime 1234567900 must be >= startTime 1234567920\n=== RUN TestNatsHandleStopJob/job_not_found\n<4>[WARNING] 2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<4>[WARNING] 2026/03/16 12:02:26 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:324: NATS job stop: finding job failed: sql: no rows in result set\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStopJob (1.17s)\n --- PASS: TestNatsHandleStopJob/valid_job_stop_-_completed (0.10s)\n --- PASS: TestNatsHandleStopJob/valid_job_stop_-_failed (0.21s)\n --- PASS: TestNatsHandleStopJob/invalid_JSON (0.10s)\n --- PASS: TestNatsHandleStopJob/missing_jobId (0.10s)\n --- PASS: TestNatsHandleStopJob/invalid_job_state (0.20s)\n --- PASS: TestNatsHandleStopJob/stopTime_before_startTime (0.20s)\n --- PASS: TestNatsHandleStopJob/job_not_found (0.10s)\n=== RUN TestNatsHandleNodeState\n<6>[INFO] 2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleNodeState/valid_node_state_update\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN TestNatsHandleNodeState/multiple_nodes\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN TestNatsHandleNodeState/invalid_JSON_in_event_field\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:398: NATS nodestate: parsing request failed: json: cannot unmarshal string into Go struct field UpdateNodeStatesRequest.nodes of type []schema.NodePayload\n=== RUN TestNatsHandleNodeState/empty_nodes_array\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n=== RUN TestNatsHandleNodeState/invalid_line_protocol_format\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN TestNatsHandleNodeState/empty_data\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:477: NATS test.subject: received empty message\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeState (0.36s)\n --- PASS: TestNatsHandleNodeState/valid_node_state_update (0.05s)\n --- PASS: TestNatsHandleNodeState/multiple_nodes (0.05s)\n --- PASS: TestNatsHandleNodeState/invalid_JSON_in_event_field (0.05s)\n --- PASS: TestNatsHandleNodeState/empty_nodes_array (0.05s)\n --- PASS: TestNatsHandleNodeState/invalid_line_protocol_format (0.05s)\n --- PASS: TestNatsHandleNodeState/empty_data (0.05s)\n=== RUN TestNatsProcessJobEvent\n<6>[INFO] 2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:26 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsProcessJobEvent/start_job_function\n<6>[INFO] 2026/03/16 12:02:26 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=3001, user=testuser, startTime=1234567890\n=== RUN TestNatsProcessJobEvent/missing_function_tag\n<3>[ERROR] 2026/03/16 12:02:26 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:164: Job event is missing required tag 'function': measurement=job\n=== RUN TestNatsProcessJobEvent/unknown_function\n<4>[WARNING] 2026/03/16 12:02:26 nats.go:186: Unknown job event function 'unknown_function', expected 'start_job' or 'stop_job'\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:26 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsProcessJobEvent (0.21s)\n --- PASS: TestNatsProcessJobEvent/start_job_function (0.05s)\n --- PASS: TestNatsProcessJobEvent/missing_function_tag (0.05s)\n --- PASS: TestNatsProcessJobEvent/unknown_function (0.05s)\n=== RUN TestNatsHandleJobEvent\n<6>[INFO] 2026/03/16 12:02:26 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:26 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleJobEvent/valid_influx_line_protocol\n<6>[INFO] 2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=4001, user=testuser, startTime=1234567890\n=== RUN TestNatsHandleJobEvent/invalid_influx_line_protocol\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:207: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:13: want '=' after field key \"line\", found ' '\n=== RUN TestNatsHandleJobEvent/empty_data\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:198: NATS test.subject: received empty message\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEvent (0.20s)\n --- PASS: TestNatsHandleJobEvent/valid_influx_line_protocol (0.05s)\n --- PASS: TestNatsHandleJobEvent/invalid_influx_line_protocol (0.05s)\n --- PASS: TestNatsHandleJobEvent/empty_data (0.05s)\n=== RUN TestNatsHandleJobEventEdgeCases\n<6>[INFO] 2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data)\n=== RUN TestNatsHandleJobEventEdgeCases/wrong_measurement_name\n=== RUN TestNatsHandleJobEventEdgeCases/missing_event_field\n=== RUN TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: \n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:314: NATS job stop: the field 'jobId' is required\n=== RUN TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:248: NATS start job: sanity check failed: no such cluster: test\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleJobEventEdgeCases (0.30s)\n --- PASS: TestNatsHandleJobEventEdgeCases/non-event_message_(metric_data) (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/wrong_measurement_name (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/missing_event_field (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/multiple_measurements_in_one_message (0.05s)\n --- PASS: TestNatsHandleJobEventEdgeCases/escaped_quotes_in_JSON_payload (0.05s)\n=== RUN TestNatsHandleNodeStateEdgeCases\n<6>[INFO] 2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n=== RUN TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster , skipping health check: [METRICDISPATCH]> no metric data repository configured '-'\n=== RUN TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:486: NATS test.subject: failed to decode InfluxDB line protocol message: at line 1:38: unexpected character 'c' after field \"event\"\n=== RUN TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'host-ñ123' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host host-ñ123\n=== RUN TestNatsHandleNodeStateEdgeCases/very_large_node_count\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node1' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node1\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node2' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node2\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288: BatchUpdateNodeStates: subcluster lookup for 'node3' in 'testcluster': ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster testcluster and host node3\n=== RUN TestNatsHandleNodeStateEdgeCases/timestamp_in_past\n<4>[WARNING] 2026/03/16 12:02:27 nats.go:426: NATS nodestate: no metric store for cluster testcluster, skipping health check: [METRICDISPATCH]> no metric data repository configured 'testcluster-'\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:27 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO] 2026/03/16 12:02:27 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 12:02:27 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 12:02:27 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 12:02:27 nats.go:292: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR] 2026/03/16 12:02:27 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:264: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 131105780598920)\n<6>[INFO] 2026/03/16 12:02:28 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 12:02:28 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 12:02:28 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t3.952s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5ce0bbf2-350a-4cdd-872a-e7b54bf3b3c3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"f37c2bde-401d-4bde-be0a-9ca6d5866e7f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013mLndr7SnJ53Eg6E3cxnuc","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package config implements the program configuration data structures, validation and parsing\n 7→package config\n 8→\n 9→import (\n 10→\t\"bytes\"\n 11→\t\"encoding/json\"\n 12→\t\"time\"\n 13→\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 16→)\n 17→\n 18→type ProgramConfig struct {\n 19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n 20→\tAddr string `json:\"addr\"`\n 21→\n 22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n 23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n 24→\n 25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n 26→\n 27→\t// Drop root permissions once .env was read and the port was taken.\n 28→\tUser string `json:\"user\"`\n 29→\tGroup string `json:\"group\"`\n 30→\n 31→\t// Disable authentication (for everything: API, Web-UI, ...)\n 32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n 33→\n 34→\t// If `embed-static-files` is true (default), the frontend files are directly\n 35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n 36→\t// it is false the files in `static-files` are served instead.\n 37→\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n 38→\tStaticFiles string `json:\"static-files\"`\n 39→\n 40→\t// Path to SQLite database file\n 41→\tDB string `json:\"db\"`\n 42→\n 43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n 44→\n 45→\t// Validate json input against schema\n 46→\tValidate bool `json:\"validate\"`\n 47→\n 48→\t// If 0 or empty, the session does not expire!\n 49→\tSessionMaxAge string `json:\"session-max-age\"`\n 50→\n 51→\t// If both those options are not empty, use HTTPS using those certificates.\n 52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n 53→\tHTTPSKeyFile string `json:\"https-key-file\"`\n 54→\n 55→\t// If not the empty string and `addr` does not end in \":80\",\n 56→\t// redirect every request incoming at port 80 to that url.\n 57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n 58→\n 59→\t// Where to store MachineState files\n 60→\tMachineStateDir string `json:\"machine-state-dir\"`\n 61→\n 62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n 63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n 64→\n 65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n 66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n 67→\n 68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n 69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n 70→\tEmissionConstant int `json:\"emission-constant\"`\n 71→\n 72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n 73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n 74→\n 75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n 76→\tSystemdUnit string `json:\"systemd-unit\"`\n 77→\n 78→\t// Node state retention configuration\n 79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n 80→\n 81→\t// Database tuning configuration\n 82→\tDbConfig *DbConfig `json:\"db-config\"`\n 83→}\n 84→\n 85→type DbConfig struct {\n 86→\tCacheSizeMB int `json:\"cache-size-mb\"`\n 87→\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n 88→\tMaxOpenConnections int `json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n 92→}\n 93→\n 94→type NodeStateRetention struct {\n 95→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 96→\tAge int `json:\"age\"` // hours, default 24\n 97→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 98→\tTargetPath string `json:\"target-path\"`\n 99→\tTargetEndpoint string `json:\"target-endpoint\"`\n 100→\tTargetBucket string `json:\"target-bucket\"`\n 101→\tTargetAccessKey string `json:\"target-access-key\"`\n 102→\tTargetSecretKey string `json:\"target-secret-key\"`\n 103→\tTargetRegion string `json:\"target-region\"`\n 104→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 105→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 106→}\n 107→\n 108→type ResampleConfig struct {\n 109→\t// Minimum number of points to trigger resampling of data\n 110→\tMinimumPoints int `json:\"minimum-points\"`\n 111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 112→\tResolutions []int `json:\"resolutions\"`\n 113→\t// Trigger next zoom level at less than this many visible datapoints\n 114→\tTrigger int `json:\"trigger\"`\n 115→}\n 116→\n 117→type NATSConfig struct {\n 118→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 119→\tSubjectNodeState string `json:\"subject-node-state\"`\n 120→\tJobConcurrency int `json:\"job-concurrency\"`\n 121→\tNodeConcurrency int `json:\"node-concurrency\"`\n 122→}\n 123→\n 124→type IntRange struct {\n 125→\tFrom int `json:\"from\"`\n 126→\tTo int `json:\"to\"`\n 127→}\n 128→\n 129→type TimeRange struct {\n 130→\tFrom *time.Time `json:\"from\"`\n 131→\tTo *time.Time `json:\"to\"`\n 132→\tRange string `json:\"range,omitempty\"`\n 133→}\n 134→\n 135→type FilterRanges struct {\n 136→\tDuration *IntRange `json:\"duration\"`\n 137→\tNumNodes *IntRange `json:\"num-nodes\"`\n 138→\tStartTime *TimeRange `json:\"start-time\"`\n 139→}\n 140→\n 141→var Keys ProgramConfig = ProgramConfig{\n 142→\tAddr: \"localhost:8080\",\n 143→\tEmbedStaticFiles: true,\n 144→\tDB: \"./var/job.db\",\n 145→\tSessionMaxAge: \"168h\",\n 146→\tStopJobsExceedingWalltime: 0,\n 147→\tShortRunningJobsDuration: 5 * 60,\n 148→}\n 149→\n 150→func Init(mainConfig json.RawMessage) {\n 151→\tValidate(configSchema, mainConfig)\n 152→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 153→\tdec.DisallowUnknownFields()\n 154→\tif err := dec.Decode(&Keys); err != nil {\n 155→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 156→\t}\n 157→\n 158→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 159→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 160→\t}\n 161→}\n 162→"}]},"uuid":"29ec25a5-faf6-48d3-bf88-d5ec12f32562","timestamp":"2026-03-16T11:10:20.531Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"43ac9c78-0989-4092-8692-574d3c88980f","timestamp":"2026-03-16T11:10:20.700Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"43ac9c78-0989-4092-8692-574d3c88980f","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T11:10:20.710Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RUbfjyCcdMYgNLiLbmyiuv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014X6RT2kQLRHLfLjgwmQXAN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":282,"cache_creation_input_tokens":8106,"cache_read_input_tokens":17278,"cache_creation":{"ephemeral_5m_input_tokens":8106,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6f2drZrU641go3FzusZ","uuid":"34f1217b-cb52-4464-90ec-f8582bc32a68"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"9729de39-5d2a-4790-b2cf-a390a1cf63a2","timestamp":"2026-03-16T11:10:20.711Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"9729de39-5d2a-4790-b2cf-a390a1cf63a2","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014X6RT2kQLRHLfLjgwmQXAN","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package config\n 7→\n 8→var configSchema = `\n 9→{\n 10→ \"type\": \"object\",\n 11→ \"properties\": {\n 12→ \"addr\": {\n 13→ \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n 14→ \"type\": \"string\"\n 15→ },\n 16→ \"api-allowed-ips\": {\n 17→ \"description\": \"Addresses from which secured API endpoints can be reached\",\n 18→ \"type\": \"array\",\n 19→ \"items\": {\n 20→ \"type\": \"string\"\n 21→ }\n 22→ },\n 23→ \"user\": {\n 24→ \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n 25→ \"type\": \"string\"\n 26→ },\n 27→ \"group\": {\n 28→ \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n 29→ \"type\": \"string\"\n 30→ },\n 31→ \"disable-authentication\": {\n 32→ \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n 33→ \"type\": \"boolean\"\n 34→ },\n 35→ \"embed-static-files\": {\n 36→ \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n 37→ \"type\": \"boolean\"\n 38→ },\n 39→ \"static-files\": {\n 40→ \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n 41→ \"type\": \"string\"\n 42→ },\n 43→ \"db\": {\n 44→ \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n 45→ \"type\": \"string\"\n 46→ },\n 47→ \"enable-job-taggers\": {\n 48→ \"description\": \"Turn on automatic application and jobclass taggers\",\n 49→ \"type\": \"boolean\"\n 50→ },\n 51→ \"validate\": {\n 52→ \"description\": \"Validate all input json documents against json schema.\",\n 53→ \"type\": \"boolean\"\n 54→ },\n 55→ \"session-max-age\": {\n 56→ \"description\": \"Specifies for how long a session shall be valid as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n 57→ \"type\": \"string\"\n 58→ },\n 59→ \"https-cert-file\": {\n 60→ \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n 61→ \"type\": \"string\"\n 62→ },\n 63→ \"https-key-file\": {\n 64→ \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n 65→ \"type\": \"string\"\n 66→ },\n 67→ \"redirect-http-to\": {\n 68→ \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n 69→ \"type\": \"string\"\n 70→ },\n 71→ \"stop-jobs-exceeding-walltime\": {\n 72→ \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n 73→ \"type\": \"integer\"\n 74→ },\n 75→ \"short-running-jobs-duration\": {\n 76→ \"description\": \"Do not show running jobs shorter than X seconds.\",\n 77→ \"type\": \"integer\"\n 78→ },\n 79→ \"emission-constant\": {\n 80→ \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n 81→ \"type\": \"integer\"\n 82→ },\n 83→ \"machine-state-dir\": {\n 84→ \"description\": \"Where to store MachineState files.\",\n 85→ \"type\": \"string\"\n 86→ },\n 87→ \"systemd-unit\": {\n 88→ \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n 89→ \"type\": \"string\"\n 90→ },\n 91→ \"resampling\": {\n 92→ \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n 93→ \"type\": \"object\",\n 94→ \"properties\": {\n 95→ \"minimum-points\": {\n 96→ \"description\": \"Minimum points to trigger resampling of time-series data.\",\n 97→ \"type\": \"integer\"\n 98→ },\n 99→ \"trigger\": {\n 100→ \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n 101→ \"type\": \"integer\"\n 102→ },\n 103→ \"resolutions\": {\n 104→ \"description\": \"Array of resampling target resolutions, in seconds.\",\n 105→ \"type\": \"array\",\n 106→ \"items\": {\n 107→ \"type\": \"integer\"\n 108→ }\n 109→ }\n 110→ },\n 111→ \"required\": [\"trigger\", \"resolutions\"]\n 112→ },\n 113→ \"api-subjects\": {\n 114→ \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n 115→ \"type\": \"object\",\n 116→ \"properties\": {\n 117→ \"subject-job-event\": {\n 118→ \"description\": \"NATS subject for job events (start_job, stop_job)\",\n 119→ \"type\": \"string\"\n 120→ },\n 121→ \"subject-node-state\": {\n 122→ \"description\": \"NATS subject for node state updates\",\n 123→ \"type\": \"string\"\n 124→ }\n 125→ },\n 126→ \"required\": [\"subject-job-event\", \"subject-node-state\"]\n 127→ },\n 128→ \"nodestate-retention\": {\n 129→ \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n 130→ \"type\": \"object\",\n 131→ \"properties\": {\n 132→ \"policy\": {\n 133→ \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n 134→ \"type\": \"string\",\n 135→ \"enum\": [\"delete\", \"move\"]\n 136→ },\n 137→ \"age\": {\n 138→ \"description\": \"Retention age in hours (default: 24).\",\n 139→ \"type\": \"integer\"\n 140→ },\n 141→ \"target-kind\": {\n 142→ \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n 143→ \"type\": \"string\",\n 144→ \"enum\": [\"file\", \"s3\"]\n 145→ },\n 146→ \"target-path\": {\n 147→ \"description\": \"Filesystem path for parquet file target.\",\n 148→ \"type\": \"string\"\n 149→ },\n 150→ \"target-endpoint\": {\n 151→ \"description\": \"S3 endpoint URL.\",\n 152→ \"type\": \"string\"\n 153→ },\n 154→ \"target-bucket\": {\n 155→ \"description\": \"S3 bucket name.\",\n 156→ \"type\": \"string\"\n 157→ },\n 158→ \"target-access-key\": {\n 159→ \"description\": \"S3 access key.\",\n 160→ \"type\": \"string\"\n 161→ },\n 162→ \"target-secret-key\": {\n 163→ \"description\": \"S3 secret key.\",\n 164→ \"type\": \"string\"\n 165→ },\n 166→ \"target-region\": {\n 167→ \"description\": \"S3 region.\",\n 168→ \"type\": \"string\"\n 169→ },\n 170→ \"target-use-path-style\": {\n 171→ \"description\": \"Use path-style S3 addressing.\",\n 172→ \"type\": \"boolean\"\n 173→ },\n 174→ \"max-file-size-mb\": {\n 175→ \"description\": \"Maximum parquet file size in MB (default: 128).\",\n 176→ \"type\": \"integer\"\n 177→ }\n 178→ },\n 179→ \"required\": [\"policy\"]\n 180→ },\n 181→ \"db-config\": {\n 182→ \"description\": \"SQLite database tuning configuration.\",\n 183→ \"type\": \"object\",\n 184→ \"properties\": {\n 185→ \"cache-size-mb\": {\n 186→ \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n 187→ \"type\": \"integer\"\n 188→ },\n 189→ \"soft-heap-limit-mb\": {\n 190→ \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n 191→ \"type\": \"integer\"\n 192→ },\n 193→ \"max-open-connections\": {\n 194→ \"description\": \"Maximum number of open database connections (default: 4).\",\n 195→ \"type\": \"integer\"\n 196→ },\n 197→ \"max-idle-connections\": {\n 198→ \"description\": \"Maximum number of idle database connections (default: 4).\",\n 199→ \"type\": \"integer\"\n 200→ },\n 201→ \"max-idle-time-minutes\": {\n 202→ \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n 203→ \"type\": \"integer\"\n 204→ },\n 205→ \"busy-timeout-ms\": {\n 206→ \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n 207→ \"type\": \"integer\"\n 208→ }\n 209→ }\n 210→ }\n 211→ }\n 212→}`\n 213→"}]},"uuid":"af7b093f-3cdb-40fb-b421-e191b239203c","timestamp":"2026-03-16T11:10:20.717Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"916d586d-add4-402f-86cc-666b1f6cc9e0","timestamp":"2026-03-16T11:10:20.911Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"916d586d-add4-402f-86cc-666b1f6cc9e0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T11:10:20.929Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RUbfjyCcdMYgNLiLbmyiuv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VimY8C691Syu9pkAZwZvMx","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":282,"cache_creation_input_tokens":8106,"cache_read_input_tokens":17278,"cache_creation":{"ephemeral_5m_input_tokens":8106,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6f2drZrU641go3FzusZ","uuid":"c9ba2f82-78bf-43b1-bbae-af5675af82f8"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"0b1f751f-1d25-483f-a56e-ec5e2d38c066","timestamp":"2026-03-16T11:10:20.930Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"0b1f751f-1d25-483f-a56e-ec5e2d38c066","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VimY8C691Syu9pkAZwZvMx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"maps\"\n 12→\t\"strings\"\n 13→\t\"sync\"\n 14→\t\"time\"\n 15→\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 23→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 24→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 25→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 26→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 29→)\n 30→\n 31→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n 32→type natsMessage struct {\n 33→\tsubject string\n 34→\tdata []byte\n 35→}\n 36→\n 37→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 38→// It mirrors the functionality of the REST API but uses NATS messaging with\n 39→// InfluxDB line protocol as the message format.\n 40→//\n 41→// # Message Format\n 42→//\n 43→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 44→// with the following structure:\n 45→//\n 46→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 47→//\n 48→// # Job Events\n 49→//\n 50→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 51→//\n 52→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 53→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 54→//\n 55→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 56→//\n 57→// Example job start message:\n 58→//\n 59→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 60→//\n 61→// # Node State Events\n 62→//\n 63→// Node state updates use the \"nodestate\" measurement with cluster information:\n 64→//\n 65→//\tnodestate event=\"{...JSON payload...}\" \n 66→//\n 67→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 68→//\n 69→// Example node state message:\n 70→//\n 71→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 72→type NatsAPI struct {\n 73→\tJobRepository *repository.JobRepository\n 74→\t// RepositoryMutex protects job creation operations from race conditions\n 75→\t// when checking for duplicate jobs during startJob calls.\n 76→\tRepositoryMutex sync.Mutex\n 77→\t// jobCh receives job event messages for processing by worker goroutines.\n 78→\tjobCh chan natsMessage\n 79→\t// nodeCh receives node state messages for processing by worker goroutines.\n 80→\tnodeCh chan natsMessage\n 81→}\n 82→\n 83→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n 84→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n 85→func NewNatsAPI() *NatsAPI {\n 86→\tjobConc := 8\n 87→\tnodeConc := 2\n 88→\n 89→\tif s := config.Keys.APISubjects; s != nil {\n 90→\t\tif s.JobConcurrency > 0 {\n 91→\t\t\tjobConc = s.JobConcurrency\n 92→\t\t}\n 93→\t\tif s.NodeConcurrency > 0 {\n 94→\t\t\tnodeConc = s.NodeConcurrency\n 95→\t\t}\n 96→\t}\n 97→\n 98→\tapi := &NatsAPI{\n 99→\t\tJobRepository: repository.GetJobRepository(),\n 100→\t\tjobCh: make(chan natsMessage, jobConc),\n 101→\t\tnodeCh: make(chan natsMessage, nodeConc),\n 102→\t}\n 103→\n 104→\t// Start worker goroutines\n 105→\tfor range jobConc {\n 106→\t\tgo api.jobWorker()\n 107→\t}\n 108→\tfor range nodeConc {\n 109→\t\tgo api.nodeWorker()\n 110→\t}\n 111→\n 112→\treturn api\n 113→}\n 114→\n 115→// jobWorker processes job event messages from the job channel.\n 116→func (api *NatsAPI) jobWorker() {\n 117→\tfor msg := range api.jobCh {\n 118→\t\tapi.handleJobEvent(msg.subject, msg.data)\n 119→\t}\n 120→}\n 121→\n 122→// nodeWorker processes node state messages from the node channel.\n 123→func (api *NatsAPI) nodeWorker() {\n 124→\tfor msg := range api.nodeCh {\n 125→\t\tapi.handleNodeState(msg.subject, msg.data)\n 126→\t}\n 127→}\n 128→\n 129→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 130→// Messages are delivered to buffered channels and processed by worker goroutines.\n 131→// Returns an error if the NATS client is not available or subscription fails.\n 132→func (api *NatsAPI) StartSubscriptions() error {\n 133→\tclient := nats.GetClient()\n 134→\tif client == nil {\n 135→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 136→\t\treturn nil\n 137→\t}\n 138→\n 139→\tif config.Keys.APISubjects != nil {\n 140→\t\ts := config.Keys.APISubjects\n 141→\n 142→\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n 143→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n 144→\t\t}); err != nil {\n 145→\t\t\treturn err\n 146→\t\t}\n 147→\n 148→\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n 149→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n 150→\t\t}); err != nil {\n 151→\t\t\treturn err\n 152→\t\t}\n 153→\n 154→\t\tcclog.Info(\"NATS API subscriptions started\")\n 155→\t}\n 156→\treturn nil\n 157→}\n 158→\n 159→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 160→// Validates that required tags and fields are present before processing.\n 161→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 162→\tfunction, ok := msg.GetTag(\"function\")\n 163→\tif !ok {\n 164→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 165→\t\treturn\n 166→\t}\n 167→\n 168→\tswitch function {\n 169→\tcase \"start_job\":\n 170→\t\tv, ok := msg.GetEventValue()\n 171→\t\tif !ok {\n 172→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 173→\t\t\treturn\n 174→\t\t}\n 175→\t\tapi.handleStartJob(v)\n 176→\n 177→\tcase \"stop_job\":\n 178→\t\tv, ok := msg.GetEventValue()\n 179→\t\tif !ok {\n 180→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 181→\t\t\treturn\n 182→\t\t}\n 183→\t\tapi.handleStopJob(v)\n 184→\n 185→\tdefault:\n 186→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 187→\t}\n 188→}\n 189→\n 190→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 191→// The message must be in line protocol format with measurement=\"job\" and include:\n 192→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 193→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 194→//\n 195→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 196→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 197→\tif len(data) == 0 {\n 198→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 199→\t\treturn\n 200→\t}\n 201→\n 202→\td := influx.NewDecoderWithBytes(data)\n 203→\n 204→\tfor d.Next() {\n 205→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 206→\t\tif err != nil {\n 207→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 208→\t\t\treturn\n 209→\t\t}\n 210→\n 211→\t\tif !m.IsEvent() {\n 212→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 213→\t\t\tcontinue\n 214→\t\t}\n 215→\n 216→\t\tif m.Name() == \"job\" {\n 217→\t\t\tapi.processJobEvent(m)\n 218→\t\t} else {\n 219→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 220→\t\t}\n 221→\t}\n 222→}\n 223→\n 224→// handleStartJob processes job start messages received via NATS.\n 225→// The payload parameter contains JSON following the schema.Job structure.\n 226→// Jobs are validated, checked for duplicates, and inserted into the database.\n 227→func (api *NatsAPI) handleStartJob(payload string) {\n 228→\tif payload == \"\" {\n 229→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 230→\t\treturn\n 231→\t}\n 232→\treq := schema.Job{\n 233→\t\tShared: \"none\",\n 234→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 235→\t}\n 236→\n 237→\tdec := json.NewDecoder(strings.NewReader(payload))\n 238→\tdec.DisallowUnknownFields()\n 239→\tif err := dec.Decode(&req); err != nil {\n 240→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 241→\t\treturn\n 242→\t}\n 243→\n 244→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 245→\treq.State = schema.JobStateRunning\n 246→\n 247→\tif err := importer.SanityChecks(&req); err != nil {\n 248→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 249→\t\treturn\n 250→\t}\n 251→\n 252→\tvar unlockOnce sync.Once\n 253→\tapi.RepositoryMutex.Lock()\n 254→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 255→\n 256→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 257→\tif err != nil && err != sql.ErrNoRows {\n 258→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 259→\t\treturn\n 260→\t}\n 261→\tif err == nil {\n 262→\t\tfor _, job := range jobs {\n 263→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 264→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 265→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 266→\t\t\t\treturn\n 267→\t\t\t}\n 268→\t\t}\n 269→\t}\n 270→\n 271→\t// When tags are present, insert directly into the job table so that the\n 272→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 273→\tvar id int64\n 274→\tif len(req.Tags) > 0 {\n 275→\t\tid, err = api.JobRepository.StartDirect(&req)\n 276→\t} else {\n 277→\t\tid, err = api.JobRepository.Start(&req)\n 278→\t}\n 279→\tif err != nil {\n 280→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 281→\t\treturn\n 282→\t}\n 283→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 284→\n 285→\tfor _, tag := range req.Tags {\n 286→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 287→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 288→\t\t\treturn\n 289→\t\t}\n 290→\t}\n 291→\n 292→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 293→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 294→}\n 295→\n 296→// handleStopJob processes job stop messages received via NATS.\n 297→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 298→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 299→func (api *NatsAPI) handleStopJob(payload string) {\n 300→\tif payload == \"\" {\n 301→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 302→\t\treturn\n 303→\t}\n 304→\tvar req StopJobAPIRequest\n 305→\n 306→\tdec := json.NewDecoder(strings.NewReader(payload))\n 307→\tdec.DisallowUnknownFields()\n 308→\tif err := dec.Decode(&req); err != nil {\n 309→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 310→\t\treturn\n 311→\t}\n 312→\n 313→\tif req.JobID == nil {\n 314→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 315→\t\treturn\n 316→\t}\n 317→\n 318→\tisCached := false\n 319→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 320→\tif err != nil {\n 321→\t\t// Not in cache, try main job table\n 322→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 323→\t\tif err != nil {\n 324→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 325→\t\t\treturn\n 326→\t\t}\n 327→\t} else {\n 328→\t\tisCached = true\n 329→\t}\n 330→\n 331→\tif job.State != schema.JobStateRunning {\n 332→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 333→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 334→\t\treturn\n 335→\t}\n 336→\n 337→\tif job.StartTime > req.StopTime {\n 338→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 339→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 340→\t\treturn\n 341→\t}\n 342→\n 343→\tif req.State != \"\" && !req.State.Valid() {\n 344→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 345→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 346→\t\treturn\n 347→\t} else if req.State == \"\" {\n 348→\t\treq.State = schema.JobStateCompleted\n 349→\t}\n 350→\n 351→\tjob.Duration = int32(req.StopTime - job.StartTime)\n 352→\tjob.State = req.State\n 353→\tapi.JobRepository.Mutex.Lock()\n 354→\tdefer api.JobRepository.Mutex.Unlock()\n 355→\n 356→\t// If the job is still in job_cache, transfer it to the job table first\n 357→\tif isCached {\n 358→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n 359→\t\tif err != nil {\n 360→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n 361→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n 362→\t\t\treturn\n 363→\t\t}\n 364→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n 365→\t\tjob.ID = &newID\n 366→\t}\n 367→\n 368→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n 369→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n 370→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n 371→\t\treturn\n 372→\t}\n 373→\n 374→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n 375→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n 376→\n 377→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n 378→\t\treturn\n 379→\t}\n 380→\n 381→\tarchiver.TriggerArchiving(job)\n 382→}\n 383→\n 384→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 385→// Updates node states in the repository for all nodes in the payload.\n 386→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 387→\tv, ok := msg.GetEventValue()\n 388→\tif !ok {\n 389→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 390→\t\treturn\n 391→\t}\n 392→\n 393→\tvar req UpdateNodeStatesRequest\n 394→\n 395→\tdec := json.NewDecoder(strings.NewReader(v))\n 396→\tdec.DisallowUnknownFields()\n 397→\tif err := dec.Decode(&req); err != nil {\n 398→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 399→\t\treturn\n 400→\t}\n 401→\n 402→\trepo := repository.GetNodeRepository()\n 403→\trequestReceived := time.Now().Unix()\n 404→\n 405→\t// Build nodeList per subcluster for health check\n 406→\tm := make(map[string][]string)\n 407→\tmetricNames := make(map[string][]string)\n 408→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 409→\n 410→\tfor _, node := range req.Nodes {\n 411→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 412→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 413→\t\t}\n 414→\t}\n 415→\n 416→\tfor sc := range m {\n 417→\t\tif sc != \"\" {\n 418→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 419→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 420→\t\t}\n 421→\t}\n 422→\n 423→\t// Perform health check against metric store\n 424→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 425→\tif err != nil {\n 426→\t\tcclog.Warnf(\"NATS nodestate: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 427→\t} else {\n 428→\t\tfor sc, nl := range m {\n 429→\t\t\tif sc != \"\" {\n 430→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 431→\t\t\t\t\tmaps.Copy(healthResults, results)\n 432→\t\t\t\t}\n 433→\t\t\t}\n 434→\t\t}\n 435→\t}\n 436→\n 437→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 438→\tfor _, node := range req.Nodes {\n 439→\t\tstate := determineState(node.States)\n 440→\t\thealthState := schema.MonitoringStateFailed\n 441→\t\tvar healthMetrics string\n 442→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 443→\t\t\thealthState = result.State\n 444→\t\t\thealthMetrics = result.HealthMetrics\n 445→\t\t}\n 446→\t\tnodeState := schema.NodeStateDB{\n 447→\t\t\tTimeStamp: requestReceived,\n 448→\t\t\tNodeState: state,\n 449→\t\t\tCpusAllocated: node.CpusAllocated,\n 450→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 451→\t\t\tGpusAllocated: node.GpusAllocated,\n 452→\t\t\tHealthState: healthState,\n 453→\t\t\tHealthMetrics: healthMetrics,\n 454→\t\t\tJobsRunning: node.JobsRunning,\n 455→\t\t}\n 456→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 457→\t\t\tHostname: node.Hostname,\n 458→\t\t\tCluster: req.Cluster,\n 459→\t\t\tNodeState: &nodeState,\n 460→\t\t})\n 461→\t}\n 462→\n 463→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 464→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n 465→\t}\n 466→\n 467→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 468→}\n 469→\n 470→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 471→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 472→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 473→//\n 474→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 475→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 476→\tif len(data) == 0 {\n 477→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 478→\t\treturn\n 479→\t}\n 480→\n 481→\td := influx.NewDecoderWithBytes(data)\n 482→\n 483→\tfor d.Next() {\n 484→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 485→\t\tif err != nil {\n 486→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 487→\t\t\treturn\n 488→\t\t}\n 489→\n 490→\t\tif !m.IsEvent() {\n 491→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 492→\t\t\tcontinue\n 493→\t\t}\n 494→\n 495→\t\tif m.Name() == \"nodestate\" {\n 496→\t\t\tapi.processNodestateEvent(m)\n 497→\t\t} else {\n 498→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 499→\t\t}\n 500→\t}\n 501→}\n 502→"}]},"uuid":"c30ef850-24cc-4a87-87fc-048882e4a7e3","timestamp":"2026-03-16T11:10:20.939Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"83b36bfd-447d-4f3b-b0f6-1a7b57537db9","timestamp":"2026-03-16T11:10:21.051Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"83b36bfd-447d-4f3b-b0f6-1a7b57537db9","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T11:10:21.058Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RUbfjyCcdMYgNLiLbmyiuv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UE7ZjZSu2PDaFFsrkXBqX7","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":282,"cache_creation_input_tokens":8106,"cache_read_input_tokens":17278,"cache_creation":{"ephemeral_5m_input_tokens":8106,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6f2drZrU641go3FzusZ","uuid":"53e825ec-eeaf-4e1b-9768-437c19bf4c40"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"f88d9640-a4f1-4b55-b648-7730f8659ee1","timestamp":"2026-03-16T11:10:21.058Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"f88d9640-a4f1-4b55-b648-7730f8659ee1","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UE7ZjZSu2PDaFFsrkXBqX7","type":"tool_result","content":" 1→# CLAUDE.md\n 2→\n 3→This file provides guidance to Claude Code (claude.ai/code) when working with\n 4→code in this repository.\n 5→\n 6→## Project Overview\n 7→\n 8→ClusterCockpit is a job-specific performance monitoring framework for HPC\n 9→clusters. This is a Golang backend that provides REST and GraphQL APIs, serves a\n 10→Svelte-based frontend, and manages job archives and metric data from various\n 11→time-series databases.\n 12→\n 13→## Build and Development Commands\n 14→\n 15→### Building\n 16→\n 17→```bash\n 18→# Build everything (frontend + backend)\n 19→make\n 20→\n 21→# Build only the frontend\n 22→make frontend\n 23→\n 24→# Build only the backend (requires frontend to be built first)\n 25→go build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n 26→```\n 27→\n 28→### Testing\n 29→\n 30→```bash\n 31→# Run all tests\n 32→make test\n 33→\n 34→# Run tests with verbose output\n 35→go test -v ./...\n 36→\n 37→# Run tests for a specific package\n 38→go test ./internal/repository\n 39→```\n 40→\n 41→### Code Generation\n 42→\n 43→```bash\n 44→# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\n 45→make graphql\n 46→\n 47→# Regenerate Swagger/OpenAPI docs (after modifying API comments)\n 48→make swagger\n 49→```\n 50→\n 51→### Frontend Development\n 52→\n 53→```bash\n 54→cd web/frontend\n 55→\n 56→# Install dependencies\n 57→npm install\n 58→\n 59→# Build for production\n 60→npm run build\n 61→\n 62→# Development mode with watch\n 63→npm run dev\n 64→```\n 65→\n 66→### Running\n 67→\n 68→```bash\n 69→# Initialize database and create admin user\n 70→./cc-backend -init-db -add-user demo:admin:demo\n 71→\n 72→# Start server in development mode (enables GraphQL Playground and Swagger UI)\n 73→./cc-backend -server -dev -loglevel info\n 74→\n 75→# Start demo with sample data\n 76→./startDemo.sh\n 77→```\n 78→\n 79→## Architecture\n 80→\n 81→### Backend Structure\n 82→\n 83→The backend follows a layered architecture with clear separation of concerns:\n 84→\n 85→- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n 86→- **internal/repository**: Data access layer using repository pattern\n 87→ - Abstracts database operations (SQLite3 only)\n 88→ - Implements LRU caching for performance\n 89→ - Provides repositories for Job, User, Node, and Tag entities\n 90→ - Transaction support for batch operations\n 91→- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n 92→- **internal/graph**: GraphQL API (uses gqlgen)\n 93→ - Schema in `api/schema.graphqls`\n 94→ - Generated code in `internal/graph/generated/`\n 95→ - Resolvers in `internal/graph/schema.resolvers.go`\n 96→- **internal/auth**: Authentication layer\n 97→ - Supports local accounts, LDAP, OIDC, and JWT tokens\n 98→ - Implements rate limiting for login attempts\n 99→- **pkg/metricstore**: Metric store with data loading API\n 100→ - In-memory metric storage with checkpointing\n 101→ - Query API for loading job metric data\n 102→- **internal/archiver**: Job archiving to file-based archive\n 103→- **internal/api/nats.go**: NATS-based API for job and node operations\n 104→ - Subscribes to NATS subjects for job events (start/stop)\n 105→ - Handles node state updates via NATS\n 106→ - Uses InfluxDB line protocol message format\n 107→- **pkg/archive**: Job archive backend implementations\n 108→ - File system backend (default)\n 109→ - S3 backend\n 110→ - SQLite backend (experimental)\n 111→ - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n 112→- **internal/metricstoreclient**: Client for cc-metric-store queries\n 113→\n 114→### Frontend Structure\n 115→\n 116→- **web/frontend**: Svelte 5 application\n 117→ - Uses Rollup for building\n 118→ - Components organized by feature (analysis, job, user, etc.)\n 119→ - GraphQL client using @urql/svelte\n 120→ - Bootstrap 5 + SvelteStrap for UI\n 121→ - uPlot for time-series visualization\n 122→- **web/templates**: Server-side Go templates\n 123→\n 124→### Key Concepts\n 125→\n 126→**Job Archive**: Completed jobs are stored in a file-based archive following the\n 127→[ClusterCockpit job-archive\n 128→specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n 129→Each job has a `meta.json` file with metadata and metric data files.\n 130→\n 131→**Metric Data Repositories**: Time-series metric data is stored separately from\n 132→job metadata. The system supports multiple backends (cc-metric-store is\n 133→recommended). Configuration is per-cluster in `config.json`.\n 134→\n 135→**Authentication Flow**:\n 136→\n 137→1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n 138→2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n 139→3. The first authenticator that returns true performs the actual `Login`\n 140→4. JWT tokens are used for API authentication\n 141→\n 142→**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\n 143→applied automatically on startup. Version tracking in `version` table.\n 144→\n 145→**Scopes**: Metrics can be collected at different scopes:\n 146→\n 147→- Node scope (always available)\n 148→- Core scope (for jobs with ≤8 nodes)\n 149→- Accelerator scope (for GPU/accelerator metrics)\n 150→\n 151→## Configuration\n 152→\n 153→- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n 154→ - `main.apiSubjects`: NATS subject configuration (optional)\n 155→ - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n 156→ - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n 157→ - `nats`: NATS client connection configuration (optional)\n 158→ - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n 159→ - `username`: Authentication username (optional)\n 160→ - `password`: Authentication password (optional)\n 161→ - `creds-file-path`: Path to NATS credentials file (optional)\n 162→- **.env**: Environment variables (secrets like JWT keys)\n 163→ - Copy from `configs/env-template.txt`\n 164→ - NEVER commit this file\n 165→- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n 166→\n 167→## Database\n 168→\n 169→- Default: SQLite 3 (`./var/job.db`)\n 170→- Connection managed by `internal/repository`\n 171→- Schema version in `internal/repository/migration.go`\n 172→\n 173→## Code Generation\n 174→\n 175→**GraphQL** (gqlgen):\n 176→\n 177→- Schema: `api/schema.graphqls`\n 178→- Config: `gqlgen.yml`\n 179→- Generated code: `internal/graph/generated/`\n 180→- Custom resolvers: `internal/graph/schema.resolvers.go`\n 181→- Run `make graphql` after schema changes\n 182→\n 183→**Swagger/OpenAPI**:\n 184→\n 185→- Annotations in `internal/api/*.go`\n 186→- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n 187→- Run `make swagger` after API changes\n 188→\n 189→## Testing Conventions\n 190→\n 191→- Test files use `_test.go` suffix\n 192→- Test data in `testdata/` subdirectories\n 193→- Repository tests use in-memory SQLite\n 194→- API tests use httptest\n 195→\n 196→## Common Workflows\n 197→\n 198→### Adding a new GraphQL field\n 199→\n 200→1. Edit schema in `api/schema.graphqls`\n 201→2. Run `make graphql`\n 202→3. Implement resolver in `internal/graph/schema.resolvers.go`\n 203→\n 204→### Adding a new REST endpoint\n 205→\n 206→1. Add handler in `internal/api/*.go`\n 207→2. Add route in `internal/api/rest.go`\n 208→3. Add Swagger annotations\n 209→4. Run `make swagger`\n 210→\n 211→### Adding a new metric data backend\n 212→\n 213→1. Implement metric loading functions in `pkg/metricstore/query.go`\n 214→2. Add cluster configuration to metric store initialization\n 215→3. Update config.json schema documentation\n 216→\n 217→### Modifying database schema\n 218→\n 219→1. Create new migration in `internal/repository/migrations/sqlite3/`\n 220→2. Increment `repository.Version`\n 221→3. Test with fresh database and existing database\n 222→\n 223→## NATS API\n 224→\n 225→The backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n 226→\n 227→### Setup\n 228→\n 229→1. Configure NATS client connection in `config.json`:\n 230→ ```json\n 231→ {\n 232→ \"nats\": {\n 233→ \"address\": \"nats://localhost:4222\",\n 234→ \"username\": \"user\",\n 235→ \"password\": \"pass\"\n 236→ }\n 237→ }\n 238→ ```\n 239→\n 240→2. Configure API subjects in `config.json` under `main`:\n 241→ ```json\n 242→ {\n 243→ \"main\": {\n 244→ \"apiSubjects\": {\n 245→ \"subjectJobEvent\": \"cc.job.event\",\n 246→ \"subjectNodeState\": \"cc.node.state\"\n 247→ }\n 248→ }\n 249→ }\n 250→ ```\n 251→\n 252→### Message Format\n 253→\n 254→Messages use **InfluxDB line protocol** format with the following structure:\n 255→\n 256→#### Job Events\n 257→\n 258→**Start Job:**\n 259→```\n 260→job,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n 261→```\n 262→\n 263→**Stop Job:**\n 264→```\n 265→job,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n 266→```\n 267→\n 268→**Tags:**\n 269→- `function`: Either `start_job` or `stop_job`\n 270→\n 271→**Fields:**\n 272→- `event`: JSON payload containing job data (see REST API documentation for schema)\n 273→\n 274→#### Node State Updates\n 275→\n 276→```json\n 277→{\n 278→ \"cluster\": \"testcluster\",\n 279→ \"nodes\": [\n 280→ {\n 281→ \"hostname\": \"node001\",\n 282→ \"states\": [\"allocated\"],\n 283→ \"cpusAllocated\": 8,\n 284→ \"memoryAllocated\": 16384,\n 285→ \"gpusAllocated\": 0,\n 286→ \"jobsRunning\": 1\n 287→ }\n 288→ ]\n 289→}\n 290→```\n 291→\n 292→### Implementation Notes\n 293→\n 294→- NATS API mirrors REST API functionality but uses messaging\n 295→- Job start/stop events are processed asynchronously\n 296→- Duplicate job detection is handled (same as REST API)\n 297→- All validation rules from REST API apply\n 298→- Messages are logged; no responses are sent back to publishers\n 299→- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n 300→\n 301→## Dependencies\n 302→\n 303→- Go 1.24.0+ (check go.mod for exact version)\n 304→- Node.js (for frontend builds)\n 305→- SQLite 3 (only supported database)\n 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+{"parentUuid":"2bc6af97-2c34-44ca-a321-12fb8d0b6753","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BdUif4HZCX1M4wBk6NDgHp","type":"tool_result","content":" 1→# NOTE\n 2→\n 3→While we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\n 4→Please do not use it for production!\n 5→\n 6→Please have a look at the [Release\n 7→Notes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\n 8→for breaking changes!\n 9→\n 10→# ClusterCockpit REST and GraphQL API backend\n 11→\n 12→[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n 13→\n 14→This is a Golang backend implementation for a REST and GraphQL API according to\n 15→the [ClusterCockpit\n 16→specifications](https://github.com/ClusterCockpit/cc-specifications). It also\n 17→includes a web interface for ClusterCockpit. This implementation replaces the\n 18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n 19→switching from PHP Symfony to a Golang based solution are explained\n 20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n 21→\n 22→## Overview\n 23→\n 24→This is a Golang web backend for the ClusterCockpit job-specific performance\n 25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n 26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n 27→analysis scripts. Data exchange between the web front-end and the back-end is\n 28→based on a GraphQL API. The web frontend is also served by the backend using\n 29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n 30→[Bootstrap 5](https://getbootstrap.com/) using\n 31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n 32→\n 33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n 34→While there are metric data backends for the InfluxDB and Prometheus time series\n 35→databases, the only tested and supported setup is to use cc-metric-store as the\n 36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n 37→time series databases will be added in the future.\n 38→\n 39→For real-time integration with HPC systems, the backend can subscribe to\n 40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n 41→state updates, providing an alternative to REST API polling.\n 42→\n 43→Completed batch jobs are stored in a file-based job archive according to\n 44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n 45→The backend supports authentication via local accounts, an external LDAP\n 46→directory, and JWT tokens. Authorization for APIs is implemented with\n 47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n 48→\n 49→You find a detailed documentation on the [ClusterCockpit\n 50→Webpage](https://clustercockpit.org).\n 51→\n 52→## Build requirements\n 53→\n 54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n 55→You can check `go.mod` to see what is the current minimal golang version needed.\n 56→Homebrew and Archlinux usually have current golang versions. For other Linux\n 57→distros this often means that you have to install the golang compiler yourself.\n 58→Fortunately, this is easy with golang. Since much of the functionality is based\n 59→on the Go standard library, it is crucial for security and performance to use a\n 60→current version of golang. In addition, an old golang toolchain may limit the supported\n 61→versions of third-party packages.\n 62→\n 63→## How to try ClusterCockpit with a demo setup\n 64→\n 65→We provide a shell script that downloads demo data and automatically starts the\n 66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n 67→start the demo. The demo downloads 32MB of data (223MB on disk).\n 68→\n 69→```sh\n 70→git clone https://github.com/ClusterCockpit/cc-backend.git\n 71→cd ./cc-backend\n 72→./startDemo.sh\n 73→```\n 74→\n 75→You can also try the demo using the latest release binary.\n 76→Create a folder and put the release binary `cc-backend` into this folder.\n 77→Execute the following steps:\n 78→\n 79→```shell\n 80→./cc-backend -init\n 81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n 82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n 83→tar xf job-archive-demo.tar\n 84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n 85→./cc-backend -server -dev -loglevel info\n 86→```\n 87→\n 88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n 89→Credentials for login are `demo:demo`.\n 90→Please note that some views do not work without a metric backend (e.g., the\n 91→Analysis, Systems and Status views).\n 92→\n 93→## How to build and run\n 94→\n 95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n 96→the following targets:\n 97→\n 98→- `make`: Initialize `var` directory and build svelte frontend and backend\n 99→ binary. Note that there is no proper prerequisite handling. Any change of\n 100→ frontend source files will result in a complete rebuild.\n 101→- `make clean`: Clean go build cache and remove binary.\n 102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n 103→\n 104→A common workflow for setting up cc-backend from scratch is:\n 105→\n 106→```sh\n 107→git clone https://github.com/ClusterCockpit/cc-backend.git\n 108→\n 109→# Build binary\n 110→cd ./cc-backend/\n 111→make\n 112→\n 113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n 114→# If authentication is disabled, it can be empty.\n 115→cp configs/env-template.txt .env\n 116→vim .env\n 117→\n 118→cp configs/config.json .\n 119→vim config.json\n 120→\n 121→#Optional: Link an existing job archive:\n 122→ln -s ./var/job-archive\n 123→\n 124→# This will first initialize the job.db database by traversing all\n 125→# `meta.json` files in the job-archive and add a new user.\n 126→./cc-backend -init-db -add-user :admin:\n 127→\n 128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n 129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n 130→./cc-backend -server -dev\n 131→\n 132→# Show other options:\n 133→./cc-backend -help\n 134→```\n 135→\n 136→## Database Configuration\n 137→\n 138→cc-backend uses SQLite as its database. For large installations, SQLite memory\n 139→usage can be tuned via the optional `db-config` section in config.json under\n 140→`main`:\n 141→\n 142→```json\n 143→{\n 144→ \"main\": {\n 145→ \"db\": \"./var/job.db\",\n 146→ \"db-config\": {\n 147→ \"cache-size-mb\": 2048,\n 148→ \"soft-heap-limit-mb\": 16384,\n 149→ \"max-open-connections\": 4,\n 150→ \"max-idle-connections\": 4,\n 151→ \"max-idle-time-minutes\": 10,\n 152→ \"busy-timeout-ms\": 60000\n 153→ }\n 154→ }\n 155→}\n 156→```\n 157→\n 158→All fields are optional. If `db-config` is omitted entirely, built-in defaults\n 159→are used.\n 160→\n 161→### Options\n 162→\n 163→| Option | Default | Description |\n 164→| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n 165→| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n 166→| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n 167→| `max-open-connections` | 4 | Maximum number of open database connections. |\n 168→| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n 169→| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n 170→| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |\n 171→\n 172→### Sizing Guidelines\n 173→\n 174→SQLite's `cache_size` is a **per-connection** setting — each connection\n 175→maintains its own independent page cache. With multiple connections, the total\n 176→memory available for caching is the sum across all connections.\n 177→\n 178→In practice, different connections tend to cache **different pages** (e.g., one\n 179→handles a job listing query while another runs a statistics aggregation), so\n 180→their caches naturally spread across the database. The formula\n 181→`DB_size / max-open-connections` gives enough per-connection cache that the\n 182→combined caches can cover the entire database.\n 183→\n 184→However, this is a best-case estimate. Connections running similar queries will\n 185→cache the same pages redundantly. In the worst case (all connections caching\n 186→identical pages), only `cache-size-mb` worth of unique data is cached rather\n 187→than `cache-size-mb × max-open-connections`. For workloads with diverse\n 188→concurrent queries, cache overlap is typically low.\n 189→\n 190→**Rules of thumb:**\n 191→\n 192→- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n 193→ entire database to be cached in memory. For example, an 80GB database with 8\n 194→ connections needs at least 10240 MB (10GB) per connection. If your workload\n 195→ has many similar concurrent queries, consider setting it higher to account for\n 196→ cache overlap between connections.\n 197→\n 198→- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n 199→ avoid cache thrashing. This is the total SQLite memory budget for the process.\n 200→- On small installations the defaults work well. 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This\n 9→should not take long. For optimal database performance after the migration it is\n 10→recommended to apply the new `optimize-db` flag, which runs the sqlite `ANALYZE`\n 11→and `VACUUM` commands. Depending on your database size (more then 40GB) the\n 12→`VACUUM` may take up to 2h.\n 13→\n 14→## Known issues\n 15→\n 16→- The new dynamic memory management is not bullet proof yet across restarts.\n 17→ Buffers that are kept outside the retention period may be lost across a\n 18→ restart. We will fix that in a subsequent patch release.\n 19→- To use the new log viewer (which is only working when starting cc-backend with\n 20→ systemd) in the admin interface the user under which the cc-backend process is\n 21→ running has to be allowed to execute the journalctl command.\n 22→- The user configuration keys for the ui have changed. Therefore old user\n 23→ configuration persisted in the database is not used anymore. It is recommended\n 24→ to configure the metrics shown in the ui-config sestion and remove all records\n 25→ in the table after the update.\n 26→- Currently energy footprint metrics of type energy are ignored for calculating\n 27→ total energy.\n 28→- With energy footprint metrics of type power the unit is ignored and it is\n 29→ assumed the metric has the unit Watt.\n 30→\n 31→## Changes in 1.5.1\n 32→\n 33→### Database\n 34→\n 35→- **New migration (version 11)**: Optimized database index count and added covering indexes for stats queries for significantly improved query performance\n 36→- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n 37→- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n 38→- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n 39→- **User list paging**: Added paging support to the user list for better scalability\n 40→- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n 41→- **Query cancellation**: Long-running database queries can now be cancelled\n 42→- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n 43→\n 44→### Bug fixes\n 45→\n 46→- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n 47→- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n 48→- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n 49→- **Energy filter preset**: Reduced energy filter preset to a more practical default\n 50→- **JSON validity check**: Fixed wrong field being checked for JSON validity\n 51→- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n 52→- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n 53→- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n 54→\n 55→### Frontend\n 56→\n 57→- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n 58→\n 59→### Documentation\n 60→\n 61→- **New DB config options**: Added new database configuration options to README\n 62→\n 63→---\n 64→\n 65→_The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on._\n 66→\n 67→## Breaking changes\n 68→\n 69→### Configuration changes\n 70→\n 71→- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n 72→ style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n 73→ Update your `config.json` accordingly.\n 74→- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n 75→- **Removed `clusters` config section**: The separate clusters configuration section\n 76→ has been removed. Cluster information is now derived from the job archive.\n 77→- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n 78→ restricted.\n 79→\n 80→### Architecture changes\n 81→\n 82→- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n 83→ router. This should be transparent to users but affects how middleware and\n 84→ routes are composed. A proper 404 handler is now in place.\n 85→- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n 86→ to `pkg/` as it is now part of the public API.\n 87→- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n 88→- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n 89→ and renamed to \"Cleanup\" for clarity.\n 90→- **`minRunningFor` filter removed**: This undocumented filter has been removed\n 91→ from the API and frontend.\n 92→\n 93→### Dependency changes\n 94→\n 95→- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n 96→- **cclib NATS client**: Now using the cclib NATS client implementation\n 97→- Removed obsolete `util.Float` usage from cclib\n 98→\n 99→## Major new features\n 100→\n 101→### NATS API Integration\n 102→\n 103→- **Real-time job events**: Subscribe to job start/stop events via NATS\n 104→- **Node state updates**: Receive real-time node state changes via NATS\n 105→- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n 106→- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n 107→\n 108→### Public Dashboard\n 109→\n 110→- **Public-facing interface**: New public dashboard route for external users\n 111→- **DoubleMetricPlot component**: New visualization component for comparing metrics\n 112→- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n 113→\n 114→### Enhanced Node Management\n 115→\n 116→- **Node state tracking**: New node table in database with timestamp tracking\n 117→- **Node state filtering**: Filter jobs by node state in systems view\n 118→- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n 119→- **Nodestate retention and archiving**: Node state data is now subject to configurable\n 120→ retention policies and can be archived to Parquet format for long-term storage\n 121→- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n 122→\n 123→### Health Monitoring\n 124→\n 125→- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n 126→ showing per-node metric health across the cluster\n 127→- **CCMS health check**: Support for querying health status of external\n 128→ cc-metric-store (CCMS) instances via the API\n 129→- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n 130→- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n 131→\n 132→### Log Viewer\n 133→\n 134→- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n 135→ backend log output directly from the browser without shell access\n 136→- **Accessible from header**: Quick access link from the navigation header\n 137→\n 138→### MetricStore Improvements\n 139→\n 140→- **Memory tracking worker**: New worker for CCMS memory usage tracking\n 141→- **Dynamic retention**: Support for job specific dynamic retention times\n 142→- **Improved compression**: Transparent compression for job archive imports\n 143→- **Parallel processing**: Parallelized Iter function in all archive backends\n 144→\n 145→### Job Tagging System\n 146→\n 147→- **Job tagger option**: Enable automatic job tagging via configuration flag\n 148→- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n 149→- **Job classification**: Automatic detection of pathological jobs\n 150→- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package api\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"testing\"\n 15→\t\"time\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 24→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\n 29→\t_ \"github.com/mattn/go-sqlite3\"\n 30→)\n 31→\n 32→func setupNatsTest(t *testing.T) *NatsAPI {\n 33→\trepository.ResetConnection()\n 34→\n 35→\tconst testconfig = `{\n 36→\t\t\"main\": {\n 37→\t\"addr\": \"0.0.0.0:8080\",\n 38→\t\"validate\": false,\n 39→ \"api-allowed-ips\": [\n 40→ \"*\"\n 41→ ]\n 42→\t},\n 43→\t\"archive\": {\n 44→\t\t\"kind\": \"file\",\n 45→\t\t\"path\": \"./var/job-archive\"\n 46→\t},\n 47→\t\"auth\": {\n 48→ \"jwts\": {\n 49→ \"max-age\": \"2m\"\n 50→ }\n 51→\t}\n 52→}`\n 53→\tconst testclusterJSON = `{\n 54→ \"name\": \"testcluster\",\n 55→\t\t\"subClusters\": [\n 56→\t\t\t{\n 57→\t\t\t\t\"name\": \"sc1\",\n 58→\t\t\t\t\"nodes\": \"host123,host124,host125\",\n 59→\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n 60→\t\t\t\t\"socketsPerNode\": 1,\n 61→\t\t\t\t\"coresPerSocket\": 4,\n 62→\t\t\t\t\"threadsPerCore\": 2,\n 63→ \"flopRateScalar\": {\n 64→ \"unit\": {\n 65→ \"prefix\": \"G\",\n 66→ \"base\": \"F/s\"\n 67→ },\n 68→ \"value\": 14\n 69→ },\n 70→ \"flopRateSimd\": {\n 71→ \"unit\": {\n 72→ \"prefix\": \"G\",\n 73→ \"base\": \"F/s\"\n 74→ },\n 75→ \"value\": 112\n 76→ },\n 77→ \"memoryBandwidth\": {\n 78→ \"unit\": {\n 79→ \"prefix\": \"G\",\n 80→ \"base\": \"B/s\"\n 81→ },\n 82→ \"value\": 24\n 83→ },\n 84→ \"numberOfNodes\": 70,\n 85→\t\t\t\t\"topology\": {\n 86→\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n 87→\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 88→\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 89→\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 90→\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n 91→\t\t\t\t}\n 92→\t\t\t}\n 93→\t\t],\n 94→\t\t\"metricConfig\": [\n 95→\t\t\t{\n 96→\t\t\t\t\"name\": \"load_one\",\n 97→\t\t\t \"unit\": { \"base\": \"\"},\n 98→\t\t\t\t\"scope\": \"node\",\n 99→\t\t\t\t\"timestep\": 60,\n 100→ \"aggregation\": 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+{"parentUuid":"0b41d324-e8ef-4623-85d1-4914b3636fc6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KDt8VuGdRpna2KxZg3Egux","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package web\n 7→\n 8→const configSchema = `{\n 9→ \"type\": \"object\",\n 10→ \"properties\": {\n 11→ \"job-list\": {\n 12→ \"description\": \"Job list defaults. Applies to user- and jobs views.\",\n 13→ \"type\": \"object\",\n 14→ \"properties\": {\n 15→ \"use-paging\": {\n 16→ \"description\": \"If classic paging is used instead of continuous scrolling by default.\",\n 17→ \"type\": \"boolean\"\n 18→ },\n 19→ \"show-footprint\": {\n 20→ \"description\": \"If footprint bars are shown as first column by default.\",\n 21→ \"type\": \"boolean\"\n 22→ }\n 23→ }\n 24→ },\n 25→ \"node-list\": {\n 26→ \"description\": \"Node list defaults. Applies to node list view.\",\n 27→ \"type\": \"object\",\n 28→ \"properties\": {\n 29→ \"use-paging\": {\n 30→ \"description\": \"If classic paging is used instead of continuous scrolling by default.\",\n 31→ \"type\": \"boolean\"\n 32→ }\n 33→ }\n 34→ },\n 35→ \"job-view\": {\n 36→ \"description\": \"Job view defaults.\",\n 37→ \"type\": \"object\",\n 38→ \"properties\": {\n 39→ \"show-polar-plot\": {\n 40→ \"description\": \"If the job metric footprints polar plot is shown by default.\",\n 41→ \"type\": \"boolean\"\n 42→ },\n 43→ \"show-footprint\": {\n 44→ \"description\": \"If the annotated job metric footprint bars are shown by default.\",\n 45→ \"type\": \"boolean\"\n 46→ },\n 47→ \"show-roofline\": {\n 48→ \"description\": \"If the job roofline plot is shown by default.\",\n 49→ \"type\": \"boolean\"\n 50→ },\n 51→ \"show-stat-table\": {\n 52→ \"description\": \"If the job metric statistics table is shown by default.\",\n 53→ \"type\": \"boolean\"\n 54→ }\n 55→ }\n 56→ },\n 57→ \"metric-config\": {\n 58→ \"description\": \"Global initial metric selections for primary views of all clusters.\",\n 59→ \"type\": \"object\",\n 60→ \"properties\": {\n 61→ \"job-list-metrics\": {\n 62→ \"description\": \"Initial metrics shown for new users in job lists (User and jobs view).\",\n 63→ \"type\": \"array\",\n 64→ \"items\": {\n 65→ \"type\": \"string\",\n 66→ \"minItems\": 1\n 67→ }\n 68→ },\n 69→ \"job-view-plot-metrics\": {\n 70→ \"description\": \"Initial metrics shown for new users as job view metric plots.\",\n 71→ \"type\": \"array\",\n 72→ \"items\": {\n 73→ \"type\": \"string\",\n 74→ \"minItems\": 1\n 75→ }\n 76→ },\n 77→ \"job-view-table-metrics\": {\n 78→ \"description\": \"Initial metrics shown for new users in job view statistics table.\",\n 79→ \"type\": \"array\",\n 80→ \"items\": {\n 81→ \"type\": \"string\",\n 82→ \"minItems\": 1\n 83→ }\n 84→ },\n 85→ \"clusters\": {\n 86→ \"description\": \"Overrides for global defaults by cluster and subcluster.\",\n 87→ \"type\": \"array\",\n 88→ \"items\": {\n 89→ \"type\": \"object\",\n 90→ \"properties\": {\n 91→ \"name\": {\n 92→ \"description\": \"The name of the cluster.\"\n 93→ },\n 94→ \"job-list-metrics\": {\n 95→ \"description\": \"Initial metrics shown for new users in job lists (User and jobs view) for subcluster.\",\n 96→ \"type\": \"array\",\n 97→ \"items\": {\n 98→ \"type\": \"string\",\n 99→ \"minItems\": 1\n 100→ }"}]},"uuid":"7157ecfb-5838-48d3-b6b3-f74079f00b1f","timestamp":"2026-03-16T11:10:36.045Z"},"type":"agent_progress","prompt":"","agentId":"a379ecc75bfa5944a"},"toolUseID":"agent_msg_01E84TDzstrH6QPmN3FXDjnM","parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","uuid":"4f7d33c6-8bc4-4c2e-b59a-655457cf0e81","timestamp":"2026-03-16T11:10:36.108Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"08a7491f-1651-43e3-9c4e-67245e2079fe","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S7J9SnMDaD62ueEVWN4w8u","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:\tSubjectJobEvent string `json:\"subject-job-event\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:\tSubjectNodeState string `json:\"subject-node-state\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:\tJobConcurrency int `json:\"job-concurrency\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go:\tNodeConcurrency int `json:\"node-concurrency\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go: \"subject-job-event\": {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go: \"subject-node-state\": {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go: \"required\": 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post-task"},"parentToolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","toolUseID":"toolu_01RfjwLRZ45KeNLSLxTFWg82","timestamp":"2026-03-16T11:10:48.986Z","uuid":"33001a36-8c20-4f43-8d58-fbfb1aaa7e6c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4b4a5be9-ee44-4d17-88ba-c2f0f03f5ac0","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RfjwLRZ45KeNLSLxTFWg82","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Summary of NATS Configuration Documentation and Config Schema\n\nI've thoroughly searched the cc-backend repository and found all NATS-related configuration documentation and schema definitions. Here are the key findings:\n\n### 1. **Main Config Struct Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\nThe `NATSConfig` struct defines NATS API subject configuration:\n```go\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n```\n\nLocated in the `ProgramConfig` struct at line 25:\n```go\nAPISubjects *NATSConfig `json:\"api-subjects\"`\n```\n\n### 2. **JSON Schema Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go` (lines 113-127)\n\nDefines the JSON schema for `api-subjects` configuration:\n```json\n\"api-subjects\": {\n \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n \"type\": \"object\",\n \"properties\": {\n \"subject-job-event\": {\n \"description\": \"NATS subject for job events (start_job, stop_job)\",\n \"type\": \"string\"\n },\n \"subject-node-state\": {\n \"description\": \"NATS subject for node state updates\",\n \"type\": \"string\"\n }\n },\n \"required\": [\"subject-job-event\", \"subject-node-state\"]\n}\n```\n\nAlso includes `db-config` schema (lines 181-210) for database tuning including `busy-timeout-ms`.\n\n### 3. **NATS API Implementation**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n- Comprehensive documentation in comments (lines 37-71) explaining InfluxDB line protocol message format\n- `NatsAPI` struct with job and node worker pools (lines 72-81)\n- `NewNatsAPI()` function (lines 85-113) using `JobConcurrency` and `NodeConcurrency` from config with defaults of 8 and 2\n- `StartSubscriptions()` method (lines 132-157) that subscribes to configured subjects\n\n### 4. **Example Configuration Files**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 21-24)\n```json\n\"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n}\n```\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 26-29) - NATS client configuration:\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\n### 5. **Comprehensive Documentation**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md` (lines 223-307)\n\nComplete \"NATS API\" section covering:\n- Setup instructions (config.json sections for NATS client and API subjects)\n- Message format (InfluxDB line protocol)\n- Job events (start/stop)\n- Node state updates\n- Implementation notes\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/README.md` (lines 25-26, 39-41)\n\nReferences to NATS integration for real-time job/node updates\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md` (lines 99-107)\n\nDocuments NATS API Integration as a major feature in v1.5.0\n\n### 6. **Tests**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`\n\nProvides test setup and examples of NATS API usage\n\n### Key Configuration Path\nThe configuration structure in config.json follows this hierarchy:\n```\nmain\n├── api-subjects (NATSConfig)\n│ ├── subject-job-event\n│ ├── subject-node-state\n│ ├── job-concurrency (optional, default: 8)\n│ └── node-concurrency (optional, default: 2)\nnats (separate NATS client connection config)\n├── address\n├── username\n└── password\n```\n\nAll files are absolute paths as listed above. The NATS configuration is optional - if not provided, the API subscriptions are skipped with a warning log."},{"type":"text","text":"agentId: a379ecc75bfa5944a (for resuming to continue this agent's work if needed)\ntotal_tokens: 56126\ntool_uses: 19\nduration_ms: 32302"}]}]},"uuid":"9718fa92-6617-42a0-a8cb-c34d3a27a267","timestamp":"2026-03-16T11:10:48.986Z","toolUseResult":{"status":"completed","prompt":"Find all files related to NATS configuration documentation and config schema in the cc-backend repository at /Users/jan/prg/ClusterCockpit/cc-backend. I'm looking for:\n\n1. Any config schema files (JSON schema, Go config structs) that define NATS-related configuration options\n2. Documentation files that describe NATS API functionality or configuration\n3. The config struct that defines APISubjects/NATSConfig\n\nSearch thoroughly - check configs/, docs/, internal/config/, CLAUDE.md, and any markdown or JSON schema files.","agentId":"a379ecc75bfa5944a","content":[{"type":"text","text":"Perfect! Now I have a complete picture. Let me compile my findings:\n\n## Summary of NATS Configuration Documentation and Config Schema\n\nI've thoroughly searched the cc-backend repository and found all NATS-related configuration documentation and schema definitions. Here are the key findings:\n\n### 1. **Main Config Struct Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\nThe `NATSConfig` struct defines NATS API subject configuration:\n```go\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n```\n\nLocated in the `ProgramConfig` struct at line 25:\n```go\nAPISubjects *NATSConfig `json:\"api-subjects\"`\n```\n\n### 2. **JSON Schema Definition**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go` (lines 113-127)\n\nDefines the JSON schema for `api-subjects` configuration:\n```json\n\"api-subjects\": {\n \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n \"type\": \"object\",\n \"properties\": {\n \"subject-job-event\": {\n \"description\": \"NATS subject for job events (start_job, stop_job)\",\n \"type\": \"string\"\n },\n \"subject-node-state\": {\n \"description\": \"NATS subject for node state updates\",\n \"type\": \"string\"\n }\n },\n \"required\": [\"subject-job-event\", \"subject-node-state\"]\n}\n```\n\nAlso includes `db-config` schema (lines 181-210) for database tuning including `busy-timeout-ms`.\n\n### 3. **NATS API Implementation**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n- Comprehensive documentation in comments (lines 37-71) explaining InfluxDB line protocol message format\n- `NatsAPI` struct with job and node worker pools (lines 72-81)\n- `NewNatsAPI()` function (lines 85-113) using `JobConcurrency` and `NodeConcurrency` from config with defaults of 8 and 2\n- `StartSubscriptions()` method (lines 132-157) that subscribes to configured subjects\n\n### 4. **Example Configuration Files**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 21-24)\n```json\n\"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n}\n```\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json` (lines 26-29) - NATS client configuration:\n```json\n\"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n}\n```\n\n### 5. **Comprehensive Documentation**\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md` (lines 223-307)\n\nComplete \"NATS API\" section covering:\n- Setup instructions (config.json sections for NATS client and API subjects)\n- Message format (InfluxDB line protocol)\n- Job events (start/stop)\n- Node state updates\n- Implementation notes\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/README.md` (lines 25-26, 39-41)\n\nReferences to NATS integration for real-time job/node updates\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md` (lines 99-107)\n\nDocuments NATS API Integration as a major feature in v1.5.0\n\n### 6. **Tests**\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`\n\nProvides test setup and examples of NATS API usage\n\n### Key Configuration Path\nThe configuration structure in config.json follows this hierarchy:\n```\nmain\n├── api-subjects (NATSConfig)\n│ ├── subject-job-event\n│ ├── subject-node-state\n│ ├── job-concurrency (optional, default: 8)\n│ └── node-concurrency (optional, default: 2)\nnats (separate NATS client connection config)\n├── address\n├── username\n└── password\n```\n\nAll files are absolute paths as listed above. The NATS configuration is optional - if not provided, the API subscriptions are skipped with a warning log."}],"totalDurationMs":32302,"totalTokens":56126,"totalToolUseCount":19,"usage":{"input_tokens":5,"cache_creation_input_tokens":672,"cache_read_input_tokens":54219,"output_tokens":1230,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":672},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"4b4a5be9-ee44-4d17-88ba-c2f0f03f5ac0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"9718fa92-6617-42a0-a8cb-c34d3a27a267","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019ak8EHGd98HrmM3fEkZBdw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WQjw33obfcTuRseYxVyaDu","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1571,"cache_read_input_tokens":39033,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1571},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f4rxfJg8nwmgRyv5m6","type":"assistant","uuid":"4e7d3142-c523-4ecb-896d-9abb5e85abd0","timestamp":"2026-03-16T11:10:53.026Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4e7d3142-c523-4ecb-896d-9abb5e85abd0","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01WQjw33obfcTuRseYxVyaDu","toolUseID":"toolu_01WQjw33obfcTuRseYxVyaDu","timestamp":"2026-03-16T11:10:53.033Z","uuid":"fa3c37d7-5818-4126-b19d-88805fecb63e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4e7d3142-c523-4ecb-896d-9abb5e85abd0","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WQjw33obfcTuRseYxVyaDu","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package config implements the program configuration data structures, validation and parsing\n 7→package config\n 8→\n 9→import (\n 10→\t\"bytes\"\n 11→\t\"encoding/json\"\n 12→\t\"time\"\n 13→\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 16→)\n 17→\n 18→type ProgramConfig struct {\n 19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n 20→\tAddr string `json:\"addr\"`\n 21→\n 22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n 23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n 24→\n 25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n 26→\n 27→\t// Drop root permissions once .env was read and the port was taken.\n 28→\tUser string `json:\"user\"`\n 29→\tGroup string `json:\"group\"`\n 30→\n 31→\t// Disable authentication (for everything: API, Web-UI, ...)\n 32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n 33→\n 34→\t// If `embed-static-files` is true (default), the frontend files are directly\n 35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n 36→\t// it is false the files in `static-files` are served instead.\n 37→\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n 38→\tStaticFiles string `json:\"static-files\"`\n 39→\n 40→\t// Path to SQLite database file\n 41→\tDB string `json:\"db\"`\n 42→\n 43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n 44→\n 45→\t// Validate json input against schema\n 46→\tValidate bool `json:\"validate\"`\n 47→\n 48→\t// If 0 or empty, the session does not expire!\n 49→\tSessionMaxAge string `json:\"session-max-age\"`\n 50→\n 51→\t// If both those options are not empty, use HTTPS using those certificates.\n 52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n 53→\tHTTPSKeyFile string `json:\"https-key-file\"`\n 54→\n 55→\t// If not the empty string and `addr` does not end in \":80\",\n 56→\t// redirect every request incoming at port 80 to that url.\n 57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n 58→\n 59→\t// Where to store MachineState files\n 60→\tMachineStateDir string `json:\"machine-state-dir\"`\n 61→\n 62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n 63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n 64→\n 65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n 66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n 67→\n 68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n 69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n 70→\tEmissionConstant int `json:\"emission-constant\"`\n 71→\n 72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n 73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n 74→\n 75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n 76→\tSystemdUnit string `json:\"systemd-unit\"`\n 77→\n 78→\t// Node state retention configuration\n 79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n 80→\n 81→\t// Database tuning configuration\n 82→\tDbConfig *DbConfig `json:\"db-config\"`\n 83→}\n 84→\n 85→type DbConfig struct {\n 86→\tCacheSizeMB int `json:\"cache-size-mb\"`\n 87→\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n 88→\tMaxOpenConnections int `json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n 92→}\n 93→\n 94→type NodeStateRetention struct {\n 95→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 96→\tAge int `json:\"age\"` // hours, default 24\n 97→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 98→\tTargetPath string `json:\"target-path\"`\n 99→\tTargetEndpoint string `json:\"target-endpoint\"`\n 100→\tTargetBucket string `json:\"target-bucket\"`\n 101→\tTargetAccessKey string `json:\"target-access-key\"`\n 102→\tTargetSecretKey string `json:\"target-secret-key\"`\n 103→\tTargetRegion string `json:\"target-region\"`\n 104→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 105→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 106→}\n 107→\n 108→type ResampleConfig struct {\n 109→\t// Minimum number of points to trigger resampling of data\n 110→\tMinimumPoints int `json:\"minimum-points\"`\n 111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 112→\tResolutions []int `json:\"resolutions\"`\n 113→\t// Trigger next zoom level at less than this many visible datapoints\n 114→\tTrigger int `json:\"trigger\"`\n 115→}\n 116→\n 117→type NATSConfig struct {\n 118→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 119→\tSubjectNodeState string `json:\"subject-node-state\"`\n 120→\tJobConcurrency int `json:\"job-concurrency\"`\n 121→\tNodeConcurrency int `json:\"node-concurrency\"`\n 122→}\n 123→\n 124→type IntRange struct {\n 125→\tFrom int `json:\"from\"`\n 126→\tTo int `json:\"to\"`\n 127→}\n 128→\n 129→type TimeRange struct {\n 130→\tFrom *time.Time `json:\"from\"`\n 131→\tTo *time.Time `json:\"to\"`\n 132→\tRange string `json:\"range,omitempty\"`\n 133→}\n 134→\n 135→type FilterRanges struct {\n 136→\tDuration *IntRange `json:\"duration\"`\n 137→\tNumNodes *IntRange `json:\"num-nodes\"`\n 138→\tStartTime *TimeRange `json:\"start-time\"`\n 139→}\n 140→\n 141→var Keys ProgramConfig = ProgramConfig{\n 142→\tAddr: \"localhost:8080\",\n 143→\tEmbedStaticFiles: true,\n 144→\tDB: \"./var/job.db\",\n 145→\tSessionMaxAge: \"168h\",\n 146→\tStopJobsExceedingWalltime: 0,\n 147→\tShortRunningJobsDuration: 5 * 60,\n 148→}\n 149→\n 150→func Init(mainConfig json.RawMessage) {\n 151→\tValidate(configSchema, mainConfig)\n 152→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 153→\tdec.DisallowUnknownFields()\n 154→\tif err := dec.Decode(&Keys); err != nil {\n 155→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 156→\t}\n 157→\n 158→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 159→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 160→\t}\n 161→}\n 162→"}]},"uuid":"b8ace8c0-9e24-42a3-b761-be00a0d5ea3d","timestamp":"2026-03-16T11:10:53.033Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":162,"startLine":1,"totalLines":162}},"sourceToolAssistantUUID":"4e7d3142-c523-4ecb-896d-9abb5e85abd0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"b8ace8c0-9e24-42a3-b761-be00a0d5ea3d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019ak8EHGd98HrmM3fEkZBdw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1571,"cache_read_input_tokens":39033,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1571},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f4rxfJg8nwmgRyv5m6","type":"assistant","uuid":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","timestamp":"2026-03-16T11:10:53.127Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","toolUseID":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","timestamp":"2026-03-16T11:10:53.132Z","uuid":"ced99221-802f-4d1b-9b8c-717b95af5a7e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KN6yZXsdcqNNhfwsFsgVcR","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package config\n 7→\n 8→var configSchema = `\n 9→{\n 10→ \"type\": \"object\",\n 11→ \"properties\": {\n 12→ \"addr\": {\n 13→ \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n 14→ \"type\": \"string\"\n 15→ },\n 16→ \"api-allowed-ips\": {\n 17→ \"description\": \"Addresses from which secured API endpoints can be reached\",\n 18→ \"type\": \"array\",\n 19→ \"items\": {\n 20→ \"type\": \"string\"\n 21→ }\n 22→ },\n 23→ \"user\": {\n 24→ \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n 25→ \"type\": \"string\"\n 26→ },\n 27→ \"group\": {\n 28→ \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n 29→ \"type\": \"string\"\n 30→ },\n 31→ \"disable-authentication\": {\n 32→ \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n 33→ \"type\": \"boolean\"\n 34→ },\n 35→ \"embed-static-files\": {\n 36→ \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n 37→ \"type\": \"boolean\"\n 38→ },\n 39→ \"static-files\": {\n 40→ \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n 41→ \"type\": \"string\"\n 42→ },\n 43→ \"db\": {\n 44→ \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n 45→ \"type\": \"string\"\n 46→ },\n 47→ \"enable-job-taggers\": {\n 48→ \"description\": \"Turn on automatic application and jobclass taggers\",\n 49→ \"type\": \"boolean\"\n 50→ },\n 51→ \"validate\": {\n 52→ \"description\": \"Validate all input json documents against json schema.\",\n 53→ \"type\": \"boolean\"\n 54→ },\n 55→ \"session-max-age\": {\n 56→ \"description\": \"Specifies for how long a session shall be valid as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n 57→ \"type\": \"string\"\n 58→ },\n 59→ \"https-cert-file\": {\n 60→ \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n 61→ \"type\": \"string\"\n 62→ },\n 63→ \"https-key-file\": {\n 64→ \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n 65→ \"type\": \"string\"\n 66→ },\n 67→ \"redirect-http-to\": {\n 68→ \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n 69→ \"type\": \"string\"\n 70→ },\n 71→ \"stop-jobs-exceeding-walltime\": {\n 72→ \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n 73→ \"type\": \"integer\"\n 74→ },\n 75→ \"short-running-jobs-duration\": {\n 76→ \"description\": \"Do not show running jobs shorter than X seconds.\",\n 77→ \"type\": \"integer\"\n 78→ },\n 79→ \"emission-constant\": {\n 80→ \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n 81→ \"type\": \"integer\"\n 82→ },\n 83→ \"machine-state-dir\": {\n 84→ \"description\": \"Where to store MachineState files.\",\n 85→ \"type\": \"string\"\n 86→ },\n 87→ \"systemd-unit\": {\n 88→ \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n 89→ \"type\": \"string\"\n 90→ },\n 91→ \"resampling\": {\n 92→ \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n 93→ \"type\": \"object\",\n 94→ \"properties\": {\n 95→ \"minimum-points\": {\n 96→ \"description\": \"Minimum points to trigger resampling of time-series data.\",\n 97→ \"type\": \"integer\"\n 98→ },\n 99→ \"trigger\": {\n 100→ \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n 101→ \"type\": \"integer\"\n 102→ },\n 103→ \"resolutions\": {\n 104→ \"description\": \"Array of resampling target resolutions, in seconds.\",\n 105→ \"type\": \"array\",\n 106→ \"items\": {\n 107→ \"type\": \"integer\"\n 108→ }\n 109→ }\n 110→ },\n 111→ \"required\": [\"trigger\", \"resolutions\"]\n 112→ },\n 113→ \"api-subjects\": {\n 114→ \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n 115→ \"type\": \"object\",\n 116→ \"properties\": {\n 117→ \"subject-job-event\": {\n 118→ \"description\": \"NATS subject for job events (start_job, stop_job)\",\n 119→ \"type\": \"string\"\n 120→ },\n 121→ \"subject-node-state\": {\n 122→ \"description\": \"NATS subject for node state updates\",\n 123→ \"type\": \"string\"\n 124→ }\n 125→ },\n 126→ \"required\": [\"subject-job-event\", \"subject-node-state\"]\n 127→ },\n 128→ \"nodestate-retention\": {\n 129→ \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n 130→ \"type\": \"object\",\n 131→ \"properties\": {\n 132→ \"policy\": {\n 133→ \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n 134→ \"type\": \"string\",\n 135→ \"enum\": [\"delete\", \"move\"]\n 136→ },\n 137→ \"age\": {\n 138→ \"description\": \"Retention age in hours (default: 24).\",\n 139→ \"type\": \"integer\"\n 140→ },\n 141→ \"target-kind\": {\n 142→ \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n 143→ \"type\": \"string\",\n 144→ \"enum\": [\"file\", \"s3\"]\n 145→ },\n 146→ \"target-path\": {\n 147→ \"description\": \"Filesystem path for parquet file target.\",\n 148→ \"type\": \"string\"\n 149→ },\n 150→ \"target-endpoint\": {\n 151→ \"description\": \"S3 endpoint URL.\",\n 152→ \"type\": \"string\"\n 153→ },\n 154→ \"target-bucket\": {\n 155→ \"description\": \"S3 bucket name.\",\n 156→ \"type\": \"string\"\n 157→ },\n 158→ \"target-access-key\": {\n 159→ \"description\": \"S3 access key.\",\n 160→ \"type\": \"string\"\n 161→ },\n 162→ \"target-secret-key\": {\n 163→ \"description\": \"S3 secret key.\",\n 164→ \"type\": \"string\"\n 165→ },\n 166→ \"target-region\": {\n 167→ \"description\": \"S3 region.\",\n 168→ \"type\": \"string\"\n 169→ },\n 170→ \"target-use-path-style\": {\n 171→ \"description\": \"Use path-style S3 addressing.\",\n 172→ \"type\": \"boolean\"\n 173→ },\n 174→ \"max-file-size-mb\": {\n 175→ \"description\": \"Maximum parquet file size in MB (default: 128).\",\n 176→ \"type\": \"integer\"\n 177→ }\n 178→ },\n 179→ \"required\": [\"policy\"]\n 180→ },\n 181→ \"db-config\": {\n 182→ \"description\": \"SQLite database tuning configuration.\",\n 183→ \"type\": \"object\",\n 184→ \"properties\": {\n 185→ \"cache-size-mb\": {\n 186→ \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n 187→ \"type\": \"integer\"\n 188→ },\n 189→ \"soft-heap-limit-mb\": {\n 190→ \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n 191→ \"type\": \"integer\"\n 192→ },\n 193→ \"max-open-connections\": {\n 194→ \"description\": \"Maximum number of open database connections (default: 4).\",\n 195→ \"type\": \"integer\"\n 196→ },\n 197→ \"max-idle-connections\": {\n 198→ \"description\": \"Maximum number of idle database connections (default: 4).\",\n 199→ \"type\": \"integer\"\n 200→ },\n 201→ \"max-idle-time-minutes\": {\n 202→ \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n 203→ \"type\": \"integer\"\n 204→ },\n 205→ \"busy-timeout-ms\": {\n 206→ \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n 207→ \"type\": \"integer\"\n 208→ }\n 209→ }\n 210→ }\n 211→ }\n 212→}`\n 213→"}]},"uuid":"bdc9d70c-486d-4f5d-8895-42c41ebdd16b","timestamp":"2026-03-16T11:10:53.131Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage config\n\nvar configSchema = `\n{\n \"type\": \"object\",\n \"properties\": {\n \"addr\": {\n \"description\": \"Address where the http (or https) server will listen on (for example: 'localhost:80').\",\n \"type\": \"string\"\n },\n \"api-allowed-ips\": {\n \"description\": \"Addresses from which secured API endpoints can be reached\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"user\": {\n \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n \"type\": \"string\"\n },\n \"group\": {\n \"description\": \"Drop root permissions once .env was read and the port was taken. Only applicable if using privileged port.\",\n \"type\": \"string\"\n },\n \"disable-authentication\": {\n \"description\": \"Disable authentication (for everything: API, Web-UI, ...).\",\n \"type\": \"boolean\"\n },\n \"embed-static-files\": {\n \"description\": \"If all files in web/frontend/public should be served from within the binary itself (they are embedded) or not.\",\n \"type\": \"boolean\"\n },\n \"static-files\": {\n \"description\": \"Folder where static assets can be found, if embed-static-files is false.\",\n \"type\": \"string\"\n },\n \"db\": {\n \"description\": \"Path to SQLite database file (e.g., './var/job.db')\",\n \"type\": \"string\"\n },\n \"enable-job-taggers\": {\n \"description\": \"Turn on automatic application and jobclass taggers\",\n \"type\": \"boolean\"\n },\n \"validate\": {\n \"description\": \"Validate all input json documents against json schema.\",\n \"type\": \"boolean\"\n },\n \"session-max-age\": {\n \"description\": \"Specifies for how long a session shall be valid as a string parsable by time.ParseDuration(). If 0 or empty, the session/token does not expire!\",\n \"type\": \"string\"\n },\n \"https-cert-file\": {\n \"description\": \"Filepath to SSL certificate. If also https-key-file is set use HTTPS using those certificates.\",\n \"type\": \"string\"\n },\n \"https-key-file\": {\n \"description\": \"Filepath to SSL key file. If also https-cert-file is set use HTTPS using those certificates.\",\n \"type\": \"string\"\n },\n \"redirect-http-to\": {\n \"description\": \"If not the empty string and addr does not end in :80, redirect every request incoming at port 80 to that url.\",\n \"type\": \"string\"\n },\n \"stop-jobs-exceeding-walltime\": {\n \"description\": \"If not zero, automatically mark jobs as stopped running X seconds longer than their walltime. Only applies if walltime is set for job.\",\n \"type\": \"integer\"\n },\n \"short-running-jobs-duration\": {\n \"description\": \"Do not show running jobs shorter than X seconds.\",\n \"type\": \"integer\"\n },\n \"emission-constant\": {\n \"description\": \"Energy mix CO2 emission constant [g/kWh]. If set, displays estimated CO2 emission for jobs.\",\n \"type\": \"integer\"\n },\n \"machine-state-dir\": {\n \"description\": \"Where to store MachineState files.\",\n \"type\": \"string\"\n },\n \"systemd-unit\": {\n \"description\": \"Systemd unit name for log viewer (default: 'clustercockpit').\",\n \"type\": \"string\"\n },\n \"resampling\": {\n \"description\": \"Enable dynamic zoom in frontend metric plots.\",\n \"type\": \"object\",\n \"properties\": {\n \"minimum-points\": {\n \"description\": \"Minimum points to trigger resampling of time-series data.\",\n \"type\": \"integer\"\n },\n \"trigger\": {\n \"description\": \"Trigger next zoom level at less than this many visible datapoints.\",\n \"type\": \"integer\"\n },\n \"resolutions\": {\n \"description\": \"Array of resampling target resolutions, in seconds.\",\n \"type\": \"array\",\n \"items\": {\n \"type\": \"integer\"\n }\n }\n },\n \"required\": [\"trigger\", \"resolutions\"]\n },\n \"api-subjects\": {\n \"description\": \"NATS subjects configuration for subscribing to job and node events.\",\n \"type\": \"object\",\n \"properties\": {\n \"subject-job-event\": {\n \"description\": \"NATS subject for job events (start_job, stop_job)\",\n \"type\": \"string\"\n },\n \"subject-node-state\": {\n \"description\": \"NATS subject for node state updates\",\n \"type\": \"string\"\n }\n },\n \"required\": [\"subject-job-event\", \"subject-node-state\"]\n },\n \"nodestate-retention\": {\n \"description\": \"Node state retention configuration for cleaning up old node_state rows.\",\n \"type\": \"object\",\n \"properties\": {\n \"policy\": {\n \"description\": \"Retention policy: 'delete' to remove old rows, 'move' to archive to Parquet then delete.\",\n \"type\": \"string\",\n \"enum\": [\"delete\", \"move\"]\n },\n \"age\": {\n \"description\": \"Retention age in hours (default: 24).\",\n \"type\": \"integer\"\n },\n \"target-kind\": {\n \"description\": \"Target kind for parquet archiving: 'file' or 's3'.\",\n \"type\": \"string\",\n \"enum\": [\"file\", \"s3\"]\n },\n \"target-path\": {\n \"description\": \"Filesystem path for parquet file target.\",\n \"type\": \"string\"\n },\n \"target-endpoint\": {\n \"description\": \"S3 endpoint URL.\",\n \"type\": \"string\"\n },\n \"target-bucket\": {\n \"description\": \"S3 bucket name.\",\n \"type\": \"string\"\n },\n \"target-access-key\": {\n \"description\": \"S3 access key.\",\n \"type\": \"string\"\n },\n \"target-secret-key\": {\n \"description\": \"S3 secret key.\",\n \"type\": \"string\"\n },\n \"target-region\": {\n \"description\": \"S3 region.\",\n \"type\": \"string\"\n },\n \"target-use-path-style\": {\n \"description\": \"Use path-style S3 addressing.\",\n \"type\": \"boolean\"\n },\n \"max-file-size-mb\": {\n \"description\": \"Maximum parquet file size in MB (default: 128).\",\n \"type\": \"integer\"\n }\n },\n \"required\": [\"policy\"]\n },\n \"db-config\": {\n \"description\": \"SQLite database tuning configuration.\",\n \"type\": \"object\",\n \"properties\": {\n \"cache-size-mb\": {\n \"description\": \"SQLite page cache size per connection in MB (default: 2048).\",\n \"type\": \"integer\"\n },\n \"soft-heap-limit-mb\": {\n \"description\": \"Process-wide SQLite soft heap limit in MB (default: 16384).\",\n \"type\": \"integer\"\n },\n \"max-open-connections\": {\n \"description\": \"Maximum number of open database connections (default: 4).\",\n \"type\": \"integer\"\n },\n \"max-idle-connections\": {\n \"description\": \"Maximum number of idle database connections (default: 4).\",\n \"type\": \"integer\"\n },\n \"max-idle-time-minutes\": {\n \"description\": \"Maximum idle time for a connection in minutes (default: 10).\",\n \"type\": \"integer\"\n },\n \"busy-timeout-ms\": {\n \"description\": \"SQLite busy timeout in milliseconds. When a write is blocked, SQLite retries with backoff for up to this duration before returning SQLITE_BUSY (default: 60000).\",\n \"type\": \"integer\"\n }\n }\n }\n }\n}`\n","numLines":213,"startLine":1,"totalLines":213}},"sourceToolAssistantUUID":"53a95010-990d-4fb8-aa84-a69dc98d8ca4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"bdc9d70c-486d-4f5d-8895-42c41ebdd16b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DSCCcEmpM1b1vtkHLxLQ24","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5282,"cache_read_input_tokens":40604,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5282},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f59RN8hNbdny5h5wjn","type":"assistant","uuid":"78a073cf-c68c-4d52-92df-dadc8eaa4040","timestamp":"2026-03-16T11:10:57.548Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"78a073cf-c68c-4d52-92df-dadc8eaa4040","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DSCCcEmpM1b1vtkHLxLQ24","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the current diff to understand what config changes were already made."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5282,"cache_read_input_tokens":40604,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5282},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f59RN8hNbdny5h5wjn","type":"assistant","uuid":"c22d8225-ff22-435f-a4bb-8c8e177e2b3c","timestamp":"2026-03-16T11:10:58.093Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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changes"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5282,"cache_read_input_tokens":40604,"output_tokens":215,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5282,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6f59RN8hNbdny5h5wjn","type":"assistant","uuid":"52f11858-cc9d-4a71-9087-43505601cb8a","timestamp":"2026-03-16T11:10:59.194Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"52f11858-cc9d-4a71-9087-43505601cb8a","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KTmHjbUmCyxpn8yHTQG7KP","type":"tool_result","content":"diff --git a/internal/config/config.go b/internal/config/config.go\nindex 517c920e..677b24e4 100644\n--- a/internal/config/config.go\n+++ b/internal/config/config.go\n@@ -117,6 +117,8 @@ type ResampleConfig struct {\n type NATSConfig struct {\n \tSubjectJobEvent string `json:\"subject-job-event\"`\n \tSubjectNodeState string `json:\"subject-node-state\"`\n+\tJobConcurrency int `json:\"job-concurrency\"`\n+\tNodeConcurrency int `json:\"node-concurrency\"`\n }\n \n type IntRange struct {","is_error":false}]},"uuid":"39f243a8-3b19-4cc7-b188-297c19fccdd5","timestamp":"2026-03-16T11:10:59.226Z","toolUseResult":{"stdout":"diff --git a/internal/config/config.go b/internal/config/config.go\nindex 517c920e..677b24e4 100644\n--- a/internal/config/config.go\n+++ b/internal/config/config.go\n@@ -117,6 +117,8 @@ type ResampleConfig struct {\n type NATSConfig struct {\n \tSubjectJobEvent string `json:\"subject-job-event\"`\n \tSubjectNodeState string `json:\"subject-node-state\"`\n+\tJobConcurrency int `json:\"job-concurrency\"`\n+\tNodeConcurrency int `json:\"node-concurrency\"`\n }\n \n type IntRange struct {","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"52f11858-cc9d-4a71-9087-43505601cb8a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"39f243a8-3b19-4cc7-b188-297c19fccdd5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018r58hUFQCwXY8WNuiNsbGd","type":"message","role":"assistant","content":[{"type":"text","text":"So `JobConcurrency` and `NodeConcurrency` were added to the config struct but not yet reflected in the JSON schema or documentation. Let me also check the CLAUDE.md NATS section and example config."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":381,"cache_read_input_tokens":45886,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":381},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f5bRYpdLGLKDPtsrkX","type":"assistant","uuid":"50536692-4abf-4212-bd8f-378102cbd7f7","timestamp":"2026-03-16T11:11:03.124Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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\"/etc/letsencrypt/live/url/privkey.pem\",\n 6→ \"user\": \"clustercockpit\",\n 7→ \"group\": \"clustercockpit\",\n 8→ \"api-allowed-ips\": [\"*\"],\n 9→ \"short-running-jobs-duration\": 300,\n 10→ \"enable-job-taggers\": true,\n 11→ \"nodestate-retention\": {\n 12→ \"policy\": \"move\",\n 13→ \"target-kind\": \"file\",\n 14→ \"target-path\": \"./var/nodestate-archive\"\n 15→ },\n 16→ \"resampling\": {\n 17→ \"minimum-points\": 600,\n 18→ \"trigger\": 180,\n 19→ \"resolutions\": [240, 60]\n 20→ },\n 21→ \"api-subjects\": {\n 22→ \"subject-job-event\": \"cc.job.event\",\n 23→ \"subject-node-state\": \"cc.node.state\"\n 24→ }\n 25→ },\n 26→ \"nats\": {\n 27→ \"address\": \"nats://0.0.0.0:4222\",\n 28→ \"username\": \"root\",\n 29→ \"password\": \"root\"\n 30→ },\n 31→ \"auth\": {\n 32→ \"jwts\": {\n 33→ \"max-age\": \"2000h\"\n 34→ }\n 35→ },\n 36→ \"cron\": {\n 37→ \"commit-job-worker\": \"1m\",\n 38→ \"duration-worker\": \"5m\",\n 39→ \"footprint-worker\": \"10m\"\n 40→ },\n 41→ \"archive\": {\n 42→ \"kind\": \"s3\",\n 43→ \"endpoint\": \"http://x.x.x.x\",\n 44→ \"bucket\": \"jobarchive\",\n 45→ \"access-key\": \"xx\",\n 46→ \"secret-key\": \"xx\",\n 47→ \"retention\": {\n 48→ \"policy\": \"move\",\n 49→ \"age\": 365,\n 50→ \"location\": \"./var/archive\"\n 51→ }\n 52→ },\n 53→ \"metric-store-external\": [\n 54→ {\n 55→ \"scope\": \"*\",\n 56→ \"url\": \"http://x.x.x.x:8082\",\n 57→ \"token\": \"MySecret\"\n 58→ },\n 59→ {\n 60→ \"scope\": \"fritz\",\n 61→ \"url\": \"http://x.x.x.x:8084\",\n 62→ \"token\": \"MySecret\"\n 63→ },\n 64→ {\n 65→ \"scope\": \"fritz-spr1tb\",\n 66→ \"url\": \"http://x.x.x.x:8083\",\n 67→ \"token\": \"MySecret\"\n 68→ },\n 69→ {\n 70→ \"scope\": \"alex\",\n 71→ \"url\": \"http://x.x.x.x:8084\",\n 72→ \"token\": \"MySecret\"\n 73→ }\n 74→ ],\n 75→ \"metric-store\": {\n 76→ \"checkpoints\": {\n 77→ \"directory\": \"./var/checkpoints\"\n 78→ },\n 79→ \"memory-cap\": 100,\n 80→ \"retention-in-memory\": \"24h\",\n 81→ \"cleanup\": {\n 82→ \"mode\": \"archive\",\n 83→ \"directory\": \"./var/archive\"\n 84→ },\n 85→ \"nats-subscriptions\": [\n 86→ {\n 87→ \"subscribe-to\": \"hpc-nats\",\n 88→ \"cluster-tag\": \"fritz\"\n 89→ },\n 90→ {\n 91→ \"subscribe-to\": \"hpc-nats\",\n 92→ \"cluster-tag\": \"alex\"\n 93→ }\n 94→ ]\n 95→ },\n 96→ \"ui-file\": \"ui-config.json\"\n 97→}\n 98→"}]},"uuid":"a0661faa-191f-486a-9a4a-b8be99853c0e","timestamp":"2026-03-16T11:11:03.940Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/configs/config.json","content":"{\n \"main\": {\n \"addr\": \"0.0.0.0:443\",\n \"https-cert-file\": \"/etc/letsencrypt/live/url/fullchain.pem\",\n \"https-key-file\": \"/etc/letsencrypt/live/url/privkey.pem\",\n \"user\": \"clustercockpit\",\n \"group\": \"clustercockpit\",\n \"api-allowed-ips\": [\"*\"],\n \"short-running-jobs-duration\": 300,\n \"enable-job-taggers\": true,\n \"nodestate-retention\": {\n \"policy\": \"move\",\n \"target-kind\": \"file\",\n \"target-path\": \"./var/nodestate-archive\"\n },\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"auth\": {\n \"jwts\": {\n \"max-age\": \"2000h\"\n }\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"archive\": {\n \"kind\": \"s3\",\n \"endpoint\": \"http://x.x.x.x\",\n \"bucket\": \"jobarchive\",\n \"access-key\": \"xx\",\n \"secret-key\": \"xx\",\n \"retention\": {\n \"policy\": \"move\",\n \"age\": 365,\n \"location\": \"./var/archive\"\n }\n },\n \"metric-store-external\": [\n {\n \"scope\": \"*\",\n \"url\": \"http://x.x.x.x:8082\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"fritz\",\n \"url\": \"http://x.x.x.x:8084\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"fritz-spr1tb\",\n \"url\": \"http://x.x.x.x:8083\",\n \"token\": \"MySecret\"\n },\n {\n \"scope\": \"alex\",\n \"url\": \"http://x.x.x.x:8084\",\n \"token\": \"MySecret\"\n }\n ],\n \"metric-store\": {\n \"checkpoints\": {\n \"directory\": \"./var/checkpoints\"\n },\n \"memory-cap\": 100,\n \"retention-in-memory\": \"24h\",\n \"cleanup\": {\n \"mode\": \"archive\",\n \"directory\": \"./var/archive\"\n },\n \"nats-subscriptions\": [\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"fritz\"\n },\n {\n \"subscribe-to\": \"hpc-nats\",\n \"cluster-tag\": \"alex\"\n }\n ]\n },\n \"ui-file\": \"ui-config.json\"\n}\n","numLines":98,"startLine":1,"totalLines":98}},"sourceToolAssistantUUID":"0139915b-0d93-4f05-b6e4-052051dc193f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"a0661faa-191f-486a-9a4a-b8be99853c0e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019KY1eKsv3b2JfvLJEm8tVL","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have the full picture. I need to update:\n\n1. **JSON schema** (`schema.go`): Add `job-concurrency` and `node-concurrency` properties\n2. **Example config** (`configs/config.json`): Add the new fields to show them\n3. **CLAUDE.md**: Update the NATS section to document concurrency options and the health check behavior"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1279,"cache_read_input_tokens":46267,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1279},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f5wdjLA456fDj7ZHdY","type":"assistant","uuid":"3208ebeb-c4f8-4b7e-9e8b-ea318c46baed","timestamp":"2026-03-16T11:11:08.756Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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Increment `repository.Version`\n 221→3. Test with fresh database and existing database\n 222→\n 223→## NATS API\n 224→\n 225→The backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n 226→\n 227→### Setup\n 228→\n 229→1. Configure NATS client connection in `config.json`:\n 230→ ```json\n 231→ {\n 232→ \"nats\": {\n 233→ \"address\": \"nats://localhost:4222\",\n 234→ \"username\": \"user\",\n 235→ \"password\": \"pass\"\n 236→ }\n 237→ }\n 238→ ```\n 239→\n 240→2. Configure API subjects in `config.json` under `main`:\n 241→ ```json\n 242→ {\n 243→ \"main\": {\n 244→ \"apiSubjects\": {\n 245→ \"subjectJobEvent\": \"cc.job.event\",\n 246→ \"subjectNodeState\": \"cc.node.state\"\n 247→ }\n 248→ }\n 249→ }\n 250→ ```\n 251→\n 252→### Message Format\n 253→\n 254→Messages use **InfluxDB line protocol** format with the following structure:\n 255→\n 256→#### Job Events\n 257→\n 258→**Start Job:**\n 259→```\n 260→job,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n 261→```\n 262→\n 263→**Stop Job:**\n 264→```\n 265→job,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n 266→```\n 267→\n 268→**Tags:**\n 269→- `function`: Either `start_job` or `stop_job`\n 270→\n 271→**Fields:**\n 272→- `event`: JSON payload containing job data (see REST API documentation for schema)\n 273→\n 274→#### Node State Updates\n 275→\n 276→```json\n 277→{\n 278→ \"cluster\": \"testcluster\",\n 279→ \"nodes\": [\n 280→ {\n 281→ \"hostname\": \"node001\",\n 282→ \"states\": [\"allocated\"],\n 283→ \"cpusAllocated\": 8,\n 284→ \"memoryAllocated\": 16384,\n 285→ \"gpusAllocated\": 0,\n 286→ \"jobsRunning\": 1\n 287→ }\n 288→ ]\n 289→}\n 290→```\n 291→\n 292→### Implementation Notes\n 293→\n 294→- NATS API mirrors REST API functionality but uses messaging\n 295→- Job start/stop events are processed asynchronously\n 296→- Duplicate job detection is handled (same as REST API)\n 297→- All validation rules from REST API apply\n 298→- Messages are logged; no responses are sent back to publishers\n 299→- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n 300→\n 301→## Dependencies\n 302→\n 303→- Go 1.24.0+ (check go.mod for exact version)\n 304→- Node.js (for frontend builds)\n 305→- SQLite 3 (only supported database)\n 306→- Optional: NATS server for NATS API integration\n 307→"}]},"uuid":"95fc60d5-e7f2-443f-b51a-cbb5a0befa2d","timestamp":"2026-03-16T11:11:17.039Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md","content":"2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n ```json\n {\n \"nats\": {\n \"address\": \"nats://localhost:4222\",\n \"username\": \"user\",\n \"password\": \"pass\"\n }\n }\n ```\n\n2. Configure API subjects in `config.json` under `main`:\n ```json\n {\n \"main\": {\n \"apiSubjects\": {\n \"subjectJobEvent\": \"cc.job.event\",\n \"subjectNodeState\": \"cc.node.state\"\n }\n }\n }\n ```\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n \"cluster\": \"testcluster\",\n \"nodes\": [\n {\n \"hostname\": \"node001\",\n \"states\": [\"allocated\"],\n \"cpusAllocated\": 8,\n \"memoryAllocated\": 16384,\n \"gpusAllocated\": 0,\n \"jobsRunning\": 1\n }\n ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","numLines":88,"startLine":220,"totalLines":307}},"sourceToolAssistantUUID":"a853ac20-95e0-4770-b16e-78e8751675d0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"type":"file-history-snapshot","messageId":"9a78aa10-34e1-4772-a5c5-7ede65491450","snapshot":{"messageId":"2b524352-3bfb-4ce2-a4e1-5bc9e302381b","trackedFileBackups":{"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v2","version":2,"backupTime":"2026-03-16T11:10:08.536Z"},"internal/config/schema.go":{"backupFileName":"f00eb5244c64e89a@v1","version":1,"backupTime":"2026-03-16T11:11:12.304Z"},"CLAUDE.md":{"backupFileName":"a8eef1ce7e4aaff5@v1","version":1,"backupTime":"2026-03-16T11:11:22.850Z"}},"timestamp":"2026-03-16T11:10:08.536Z"},"isSnapshotUpdate":true} +{"parentUuid":"95fc60d5-e7f2-443f-b51a-cbb5a0befa2d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HAzexZFeAcfNcUihSSeSFH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JcptKf7mU9JxZ1snMMVvm4","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md","old_string":"2. 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Configure API subjects in `config.json` under `main`:\n ```json\n {\n \"main\": {\n \"apiSubjects\": {\n \"subjectJobEvent\": \"cc.job.event\",\n \"subjectNodeState\": \"cc.node.state\"\n }\n }\n }\n ```","newString":"2. Configure API subjects in `config.json` under `main`:\n ```json\n {\n \"main\": {\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\",\n \"job-concurrency\": 8,\n \"node-concurrency\": 2\n }\n }\n }\n ```\n - `subject-job-event` (required): NATS subject for job start/stop events\n - `subject-node-state` (required): NATS subject for node state updates\n - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events\n - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events","originalFile":"# CLAUDE.md\n\nThis file provides guidance to Claude Code (claude.ai/code) when working with\ncode in this repository.\n\n## Project Overview\n\nClusterCockpit is a job-specific performance monitoring framework for HPC\nclusters. This is a Golang backend that provides REST and GraphQL APIs, serves a\nSvelte-based frontend, and manages job archives and metric data from various\ntime-series databases.\n\n## Build and Development Commands\n\n### Building\n\n```bash\n# Build everything (frontend + backend)\nmake\n\n# Build only the frontend\nmake frontend\n\n# Build only the backend (requires frontend to be built first)\ngo build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test\n\n# Run tests with verbose output\ngo test -v ./...\n\n# Run tests for a specific package\ngo test ./internal/repository\n```\n\n### Code Generation\n\n```bash\n# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\nmake graphql\n\n# Regenerate Swagger/OpenAPI docs (after modifying API comments)\nmake swagger\n```\n\n### Frontend Development\n\n```bash\ncd web/frontend\n\n# Install dependencies\nnpm install\n\n# Build for production\nnpm run build\n\n# Development mode with watch\nnpm run dev\n```\n\n### Running\n\n```bash\n# Initialize database and create admin user\n./cc-backend -init-db -add-user demo:admin:demo\n\n# Start server in development mode (enables GraphQL Playground and Swagger UI)\n./cc-backend -server -dev -loglevel info\n\n# Start demo with sample data\n./startDemo.sh\n```\n\n## Architecture\n\n### Backend Structure\n\nThe backend follows a layered architecture with clear separation of concerns:\n\n- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n- **internal/repository**: Data access layer using repository pattern\n - Abstracts database operations (SQLite3 only)\n - Implements LRU caching for performance\n - Provides repositories for Job, User, Node, and Tag entities\n - Transaction support for batch operations\n- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n- **internal/graph**: GraphQL API (uses gqlgen)\n - Schema in `api/schema.graphqls`\n - Generated code in `internal/graph/generated/`\n - Resolvers in `internal/graph/schema.resolvers.go`\n- **internal/auth**: Authentication layer\n - Supports local accounts, LDAP, OIDC, and JWT tokens\n - Implements rate limiting for login attempts\n- **pkg/metricstore**: Metric store with data loading API\n - In-memory metric storage with checkpointing\n - Query API for loading job metric data\n- **internal/archiver**: Job archiving to file-based archive\n- **internal/api/nats.go**: NATS-based API for job and node operations\n - Subscribes to NATS subjects for job events (start/stop)\n - Handles node state updates via NATS\n - Uses InfluxDB line protocol message format\n- **pkg/archive**: Job archive backend implementations\n - File system backend (default)\n - S3 backend\n - SQLite backend (experimental)\n - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n- **internal/metricstoreclient**: Client for cc-metric-store queries\n\n### Frontend Structure\n\n- **web/frontend**: Svelte 5 application\n - Uses Rollup for building\n - Components organized by feature (analysis, job, user, etc.)\n - GraphQL client using @urql/svelte\n - Bootstrap 5 + SvelteStrap for UI\n - uPlot for time-series visualization\n- **web/templates**: Server-side Go templates\n\n### Key Concepts\n\n**Job Archive**: Completed jobs are stored in a file-based archive following the\n[ClusterCockpit job-archive\nspecification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nEach job has a `meta.json` file with metadata and metric data files.\n\n**Metric Data Repositories**: Time-series metric data is stored separately from\njob metadata. The system supports multiple backends (cc-metric-store is\nrecommended). Configuration is per-cluster in `config.json`.\n\n**Authentication Flow**:\n\n1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n3. The first authenticator that returns true performs the actual `Login`\n4. JWT tokens are used for API authentication\n\n**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\napplied automatically on startup. Version tracking in `version` table.\n\n**Scopes**: Metrics can be collected at different scopes:\n\n- Node scope (always available)\n- Core scope (for jobs with ≤8 nodes)\n- Accelerator scope (for GPU/accelerator metrics)\n\n## Configuration\n\n- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n - `main.apiSubjects`: NATS subject configuration (optional)\n - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n - `nats`: NATS client connection configuration (optional)\n - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n - `username`: Authentication username (optional)\n - `password`: Authentication password (optional)\n - `creds-file-path`: Path to NATS credentials file (optional)\n- **.env**: Environment variables (secrets like JWT keys)\n - Copy from `configs/env-template.txt`\n - NEVER commit this file\n- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n\n## Database\n\n- Default: SQLite 3 (`./var/job.db`)\n- Connection managed by `internal/repository`\n- Schema version in `internal/repository/migration.go`\n\n## Code Generation\n\n**GraphQL** (gqlgen):\n\n- Schema: `api/schema.graphqls`\n- Config: `gqlgen.yml`\n- Generated code: `internal/graph/generated/`\n- Custom resolvers: `internal/graph/schema.resolvers.go`\n- Run `make graphql` after schema changes\n\n**Swagger/OpenAPI**:\n\n- Annotations in `internal/api/*.go`\n- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n- Run `make swagger` after API changes\n\n## Testing Conventions\n\n- Test files use `_test.go` suffix\n- Test data in `testdata/` subdirectories\n- Repository tests use in-memory SQLite\n- API tests use httptest\n\n## Common Workflows\n\n### Adding a new GraphQL field\n\n1. Edit schema in `api/schema.graphqls`\n2. Run `make graphql`\n3. Implement resolver in `internal/graph/schema.resolvers.go`\n\n### Adding a new REST endpoint\n\n1. Add handler in `internal/api/*.go`\n2. Add route in `internal/api/rest.go`\n3. Add Swagger annotations\n4. Run `make swagger`\n\n### Adding a new metric data backend\n\n1. Implement metric loading functions in `pkg/metricstore/query.go`\n2. Add cluster configuration to metric store initialization\n3. Update config.json schema documentation\n\n### Modifying database schema\n\n1. Create new migration in `internal/repository/migrations/sqlite3/`\n2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n ```json\n {\n \"nats\": {\n \"address\": \"nats://localhost:4222\",\n \"username\": \"user\",\n \"password\": \"pass\"\n }\n }\n ```\n\n2. Configure API subjects in `config.json` under `main`:\n ```json\n {\n \"main\": {\n \"apiSubjects\": {\n \"subjectJobEvent\": \"cc.job.event\",\n \"subjectNodeState\": \"cc.node.state\"\n }\n }\n }\n ```\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n \"cluster\": \"testcluster\",\n \"nodes\": [\n {\n \"hostname\": \"node001\",\n \"states\": [\"allocated\"],\n \"cpusAllocated\": 8,\n \"memoryAllocated\": 16384,\n \"gpusAllocated\": 0,\n \"jobsRunning\": 1\n }\n ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","structuredPatch":[{"oldStart":241,"oldLines":13,"newStart":241,"newLines":19,"lines":[" ```json"," {"," \"main\": {","- \"apiSubjects\": {","- \"subjectJobEvent\": \"cc.job.event\",","- \"subjectNodeState\": \"cc.node.state\"","+ \"api-subjects\": {","+ \"subject-job-event\": \"cc.job.event\",","+ \"subject-node-state\": \"cc.node.state\",","+ \"job-concurrency\": 8,","+ \"node-concurrency\": 2"," }"," }"," }"," ```","+ - `subject-job-event` (required): NATS subject for job start/stop events","+ - `subject-node-state` (required): NATS subject for node state updates","+ - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events","+ - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events"," "," ### Message Format"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9a78aa10-34e1-4772-a5c5-7ede65491450","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"f5487350-fab2-4d4d-b887-5649ea8341f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01YW9pG1G5gjocRLvCLEDEeV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SDjYUyoXUxFwHXCFu6Daiw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/CLAUDE.md","old_string":"### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)","new_string":"### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously via configurable worker pools\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. 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This is a Golang backend that provides REST and GraphQL APIs, serves a\nSvelte-based frontend, and manages job archives and metric data from various\ntime-series databases.\n\n## Build and Development Commands\n\n### Building\n\n```bash\n# Build everything (frontend + backend)\nmake\n\n# Build only the frontend\nmake frontend\n\n# Build only the backend (requires frontend to be built first)\ngo build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test\n\n# Run tests with verbose output\ngo test -v ./...\n\n# Run tests for a specific package\ngo test ./internal/repository\n```\n\n### Code Generation\n\n```bash\n# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\nmake graphql\n\n# Regenerate Swagger/OpenAPI docs (after modifying API comments)\nmake swagger\n```\n\n### Frontend Development\n\n```bash\ncd web/frontend\n\n# Install dependencies\nnpm install\n\n# Build for production\nnpm run build\n\n# Development mode with watch\nnpm run dev\n```\n\n### Running\n\n```bash\n# Initialize database and create admin user\n./cc-backend -init-db -add-user demo:admin:demo\n\n# Start server in development mode (enables GraphQL Playground and Swagger UI)\n./cc-backend -server -dev -loglevel info\n\n# Start demo with sample data\n./startDemo.sh\n```\n\n## Architecture\n\n### Backend Structure\n\nThe backend follows a layered architecture with clear separation of concerns:\n\n- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n- **internal/repository**: Data access layer using repository pattern\n - Abstracts database operations (SQLite3 only)\n - Implements LRU caching for performance\n - Provides repositories for Job, User, Node, and Tag entities\n - Transaction support for batch operations\n- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n- **internal/graph**: GraphQL API (uses gqlgen)\n - Schema in `api/schema.graphqls`\n - Generated code in `internal/graph/generated/`\n - Resolvers in `internal/graph/schema.resolvers.go`\n- **internal/auth**: Authentication layer\n - Supports local accounts, LDAP, OIDC, and JWT tokens\n - Implements rate limiting for login attempts\n- **pkg/metricstore**: Metric store with data loading API\n - In-memory metric storage with checkpointing\n - Query API for loading job metric data\n- **internal/archiver**: Job archiving to file-based archive\n- **internal/api/nats.go**: NATS-based API for job and node operations\n - Subscribes to NATS subjects for job events (start/stop)\n - Handles node state updates via NATS\n - Uses InfluxDB line protocol message format\n- **pkg/archive**: Job archive backend implementations\n - File system backend (default)\n - S3 backend\n - SQLite backend (experimental)\n - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n- **internal/metricstoreclient**: Client for cc-metric-store queries\n\n### Frontend Structure\n\n- **web/frontend**: Svelte 5 application\n - Uses Rollup for building\n - Components organized by feature (analysis, job, user, etc.)\n - GraphQL client using @urql/svelte\n - Bootstrap 5 + SvelteStrap for UI\n - uPlot for time-series visualization\n- **web/templates**: Server-side Go templates\n\n### Key Concepts\n\n**Job Archive**: Completed jobs are stored in a file-based archive following the\n[ClusterCockpit job-archive\nspecification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nEach job has a `meta.json` file with metadata and metric data files.\n\n**Metric Data Repositories**: Time-series metric data is stored separately from\njob metadata. The system supports multiple backends (cc-metric-store is\nrecommended). Configuration is per-cluster in `config.json`.\n\n**Authentication Flow**:\n\n1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n3. The first authenticator that returns true performs the actual `Login`\n4. JWT tokens are used for API authentication\n\n**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\napplied automatically on startup. Version tracking in `version` table.\n\n**Scopes**: Metrics can be collected at different scopes:\n\n- Node scope (always available)\n- Core scope (for jobs with ≤8 nodes)\n- Accelerator scope (for GPU/accelerator metrics)\n\n## Configuration\n\n- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n - `main.apiSubjects`: NATS subject configuration (optional)\n - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n - `nats`: NATS client connection configuration (optional)\n - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n - `username`: Authentication username (optional)\n - `password`: Authentication password (optional)\n - `creds-file-path`: Path to NATS credentials file (optional)\n- **.env**: Environment variables (secrets like JWT keys)\n - Copy from `configs/env-template.txt`\n - NEVER commit this file\n- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n\n## Database\n\n- Default: SQLite 3 (`./var/job.db`)\n- Connection managed by `internal/repository`\n- Schema version in `internal/repository/migration.go`\n\n## Code Generation\n\n**GraphQL** (gqlgen):\n\n- Schema: `api/schema.graphqls`\n- Config: `gqlgen.yml`\n- Generated code: `internal/graph/generated/`\n- Custom resolvers: `internal/graph/schema.resolvers.go`\n- Run `make graphql` after schema changes\n\n**Swagger/OpenAPI**:\n\n- Annotations in `internal/api/*.go`\n- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n- Run `make swagger` after API changes\n\n## Testing Conventions\n\n- Test files use `_test.go` suffix\n- Test data in `testdata/` subdirectories\n- Repository tests use in-memory SQLite\n- API tests use httptest\n\n## Common Workflows\n\n### Adding a new GraphQL field\n\n1. Edit schema in `api/schema.graphqls`\n2. Run `make graphql`\n3. Implement resolver in `internal/graph/schema.resolvers.go`\n\n### Adding a new REST endpoint\n\n1. Add handler in `internal/api/*.go`\n2. Add route in `internal/api/rest.go`\n3. Add Swagger annotations\n4. Run `make swagger`\n\n### Adding a new metric data backend\n\n1. Implement metric loading functions in `pkg/metricstore/query.go`\n2. Add cluster configuration to metric store initialization\n3. Update config.json schema documentation\n\n### Modifying database schema\n\n1. Create new migration in `internal/repository/migrations/sqlite3/`\n2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n ```json\n {\n \"nats\": {\n \"address\": \"nats://localhost:4222\",\n \"username\": \"user\",\n \"password\": \"pass\"\n }\n }\n ```\n\n2. Configure API subjects in `config.json` under `main`:\n ```json\n {\n \"main\": {\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\",\n \"job-concurrency\": 8,\n \"node-concurrency\": 2\n }\n }\n }\n ```\n - `subject-job-event` (required): NATS subject for job start/stop events\n - `subject-node-state` (required): NATS subject for node state updates\n - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events\n - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n \"cluster\": \"testcluster\",\n \"nodes\": [\n {\n \"hostname\": \"node001\",\n \"states\": [\"allocated\"],\n \"cpusAllocated\": 8,\n \"memoryAllocated\": 16384,\n \"gpusAllocated\": 0,\n \"jobsRunning\": 1\n }\n ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","structuredPatch":[{"oldStart":298,"oldLines":9,"newStart":298,"newLines":10,"lines":[" ### Implementation Notes"," "," - NATS API mirrors REST API functionality but uses messaging","-- Job start/stop events are processed asynchronously","+- Job start/stop events are processed asynchronously via configurable worker pools"," - Duplicate job detection is handled (same as REST API)"," - All validation rules from REST API apply","+- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. 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This is a Golang backend that provides REST and GraphQL APIs, serves a\nSvelte-based frontend, and manages job archives and metric data from various\ntime-series databases.\n\n## Build and Development Commands\n\n### Building\n\n```bash\n# Build everything (frontend + backend)\nmake\n\n# Build only the frontend\nmake frontend\n\n# Build only the backend (requires frontend to be built first)\ngo build -ldflags='-s -X main.date=$(date +\"%Y-%m-%d:T%H:%M:%S\") -X main.version=1.5.0 -X main.commit=$(git rev-parse --short HEAD)' ./cmd/cc-backend\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test\n\n# Run tests with verbose output\ngo test -v ./...\n\n# Run tests for a specific package\ngo test ./internal/repository\n```\n\n### Code Generation\n\n```bash\n# Regenerate GraphQL schema and resolvers (after modifying api/schema.graphqls)\nmake graphql\n\n# Regenerate Swagger/OpenAPI docs (after modifying API comments)\nmake swagger\n```\n\n### Frontend Development\n\n```bash\ncd web/frontend\n\n# Install dependencies\nnpm install\n\n# Build for production\nnpm run build\n\n# Development mode with watch\nnpm run dev\n```\n\n### Running\n\n```bash\n# Initialize database and create admin user\n./cc-backend -init-db -add-user demo:admin:demo\n\n# Start server in development mode (enables GraphQL Playground and Swagger UI)\n./cc-backend -server -dev -loglevel info\n\n# Start demo with sample data\n./startDemo.sh\n```\n\n## Architecture\n\n### Backend Structure\n\nThe backend follows a layered architecture with clear separation of concerns:\n\n- **cmd/cc-backend**: Entry point, orchestrates initialization of all subsystems\n- **internal/repository**: Data access layer using repository pattern\n - Abstracts database operations (SQLite3 only)\n - Implements LRU caching for performance\n - Provides repositories for Job, User, Node, and Tag entities\n - Transaction support for batch operations\n- **internal/api**: REST API endpoints (Swagger/OpenAPI documented)\n- **internal/graph**: GraphQL API (uses gqlgen)\n - Schema in `api/schema.graphqls`\n - Generated code in `internal/graph/generated/`\n - Resolvers in `internal/graph/schema.resolvers.go`\n- **internal/auth**: Authentication layer\n - Supports local accounts, LDAP, OIDC, and JWT tokens\n - Implements rate limiting for login attempts\n- **pkg/metricstore**: Metric store with data loading API\n - In-memory metric storage with checkpointing\n - Query API for loading job metric data\n- **internal/archiver**: Job archiving to file-based archive\n- **internal/api/nats.go**: NATS-based API for job and node operations\n - Subscribes to NATS subjects for job events (start/stop)\n - Handles node state updates via NATS\n - Uses InfluxDB line protocol message format\n- **pkg/archive**: Job archive backend implementations\n - File system backend (default)\n - S3 backend\n - SQLite backend (experimental)\n - **parquet** sub-package: Parquet format support (schema, reader, writer, conversion)\n- **internal/metricstoreclient**: Client for cc-metric-store queries\n\n### Frontend Structure\n\n- **web/frontend**: Svelte 5 application\n - Uses Rollup for building\n - Components organized by feature (analysis, job, user, etc.)\n - GraphQL client using @urql/svelte\n - Bootstrap 5 + SvelteStrap for UI\n - uPlot for time-series visualization\n- **web/templates**: Server-side Go templates\n\n### Key Concepts\n\n**Job Archive**: Completed jobs are stored in a file-based archive following the\n[ClusterCockpit job-archive\nspecification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nEach job has a `meta.json` file with metadata and metric data files.\n\n**Metric Data Repositories**: Time-series metric data is stored separately from\njob metadata. The system supports multiple backends (cc-metric-store is\nrecommended). Configuration is per-cluster in `config.json`.\n\n**Authentication Flow**:\n\n1. Multiple authenticators can be configured (local, LDAP, OIDC, JWT)\n2. Each authenticator's `CanLogin` method is called to determine if it should handle the request\n3. The first authenticator that returns true performs the actual `Login`\n4. JWT tokens are used for API authentication\n\n**Database Migrations**: SQL migrations in `internal/repository/migrations/sqlite3/` are\napplied automatically on startup. Version tracking in `version` table.\n\n**Scopes**: Metrics can be collected at different scopes:\n\n- Node scope (always available)\n- Core scope (for jobs with ≤8 nodes)\n- Accelerator scope (for GPU/accelerator metrics)\n\n## Configuration\n\n- **config.json**: Main configuration (clusters, metric repositories, archive settings)\n - `main.apiSubjects`: NATS subject configuration (optional)\n - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")\n - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")\n - `nats`: NATS client connection configuration (optional)\n - `address`: NATS server address (e.g., \"nats://localhost:4222\")\n - `username`: Authentication username (optional)\n - `password`: Authentication password (optional)\n - `creds-file-path`: Path to NATS credentials file (optional)\n- **.env**: Environment variables (secrets like JWT keys)\n - Copy from `configs/env-template.txt`\n - NEVER commit this file\n- **cluster.json**: Cluster topology and metric definitions (loaded from archive or config)\n\n## Database\n\n- Default: SQLite 3 (`./var/job.db`)\n- Connection managed by `internal/repository`\n- Schema version in `internal/repository/migration.go`\n\n## Code Generation\n\n**GraphQL** (gqlgen):\n\n- Schema: `api/schema.graphqls`\n- Config: `gqlgen.yml`\n- Generated code: `internal/graph/generated/`\n- Custom resolvers: `internal/graph/schema.resolvers.go`\n- Run `make graphql` after schema changes\n\n**Swagger/OpenAPI**:\n\n- Annotations in `internal/api/*.go`\n- Generated docs: `internal/api/docs.go`, `api/swagger.yaml`\n- Run `make swagger` after API changes\n\n## Testing Conventions\n\n- Test files use `_test.go` suffix\n- Test data in `testdata/` subdirectories\n- Repository tests use in-memory SQLite\n- API tests use httptest\n\n## Common Workflows\n\n### Adding a new GraphQL field\n\n1. Edit schema in `api/schema.graphqls`\n2. Run `make graphql`\n3. Implement resolver in `internal/graph/schema.resolvers.go`\n\n### Adding a new REST endpoint\n\n1. Add handler in `internal/api/*.go`\n2. Add route in `internal/api/rest.go`\n3. Add Swagger annotations\n4. Run `make swagger`\n\n### Adding a new metric data backend\n\n1. Implement metric loading functions in `pkg/metricstore/query.go`\n2. Add cluster configuration to metric store initialization\n3. Update config.json schema documentation\n\n### Modifying database schema\n\n1. Create new migration in `internal/repository/migrations/sqlite3/`\n2. Increment `repository.Version`\n3. Test with fresh database and existing database\n\n## NATS API\n\nThe backend supports a NATS-based API as an alternative to the REST API for job and node operations.\n\n### Setup\n\n1. Configure NATS client connection in `config.json`:\n ```json\n {\n \"nats\": {\n \"address\": \"nats://localhost:4222\",\n \"username\": \"user\",\n \"password\": \"pass\"\n }\n }\n ```\n\n2. Configure API subjects in `config.json` under `main`:\n ```json\n {\n \"main\": {\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\",\n \"job-concurrency\": 8,\n \"node-concurrency\": 2\n }\n }\n }\n ```\n - `subject-job-event` (required): NATS subject for job start/stop events\n - `subject-node-state` (required): NATS subject for node state updates\n - `job-concurrency` (optional, default: 8): Number of concurrent worker goroutines for job events\n - `node-concurrency` (optional, default: 2): Number of concurrent worker goroutines for node state events\n\n### Message Format\n\nMessages use **InfluxDB line protocol** format with the following structure:\n\n#### Job Events\n\n**Start Job:**\n```\njob,function=start_job event=\"{\\\"jobId\\\":123,\\\"user\\\":\\\"alice\\\",\\\"cluster\\\":\\\"test\\\", ...}\" 1234567890000000000\n```\n\n**Stop Job:**\n```\njob,function=stop_job event=\"{\\\"jobId\\\":123,\\\"cluster\\\":\\\"test\\\",\\\"startTime\\\":1234567890,\\\"stopTime\\\":1234571490,\\\"jobState\\\":\\\"completed\\\"}\" 1234571490000000000\n```\n\n**Tags:**\n- `function`: Either `start_job` or `stop_job`\n\n**Fields:**\n- `event`: JSON payload containing job data (see REST API documentation for schema)\n\n#### Node State Updates\n\n```json\n{\n \"cluster\": \"testcluster\",\n \"nodes\": [\n {\n \"hostname\": \"node001\",\n \"states\": [\"allocated\"],\n \"cpusAllocated\": 8,\n \"memoryAllocated\": 16384,\n \"gpusAllocated\": 0,\n \"jobsRunning\": 1\n }\n ]\n}\n```\n\n### Implementation Notes\n\n- NATS API mirrors REST API functionality but uses messaging\n- Job start/stop events are processed asynchronously via configurable worker pools\n- Duplicate job detection is handled (same as REST API)\n- All validation rules from REST API apply\n- Node state updates include health checks against the metric store (identical to REST handler): nodes are grouped by subcluster, metric configurations are fetched, and `HealthCheck()` is called per subcluster. Nodes default to `MonitoringStateFailed` if no health data is available.\n- Messages are logged; no responses are sent back to publishers\n- If NATS client is unavailable, API subscriptions are skipped (logged as warning)\n\n## Dependencies\n\n- Go 1.24.0+ (check go.mod for exact version)\n- Node.js (for frontend builds)\n- SQLite 3 (only supported database)\n- Optional: NATS server for NATS API integration\n","structuredPatch":[{"oldStart":151,"oldLines":9,"newStart":151,"newLines":11,"lines":[" ## Configuration"," "," - **config.json**: Main configuration (clusters, metric repositories, archive settings)","- - `main.apiSubjects`: NATS subject configuration (optional)","- - `subjectJobEvent`: Subject for job start/stop events (e.g., \"cc.job.event\")","- - `subjectNodeState`: Subject for node state updates (e.g., \"cc.node.state\")","+ - `main.api-subjects`: NATS subject configuration (optional)","+ - `subject-job-event`: Subject for job start/stop events (e.g., \"cc.job.event\")","+ - `subject-node-state`: Subject for node state updates (e.g., \"cc.node.state\")","+ - `job-concurrency`: Worker goroutines for job events (default: 8)","+ - `node-concurrency`: Worker goroutines for node state events (default: 2)"," - `nats`: NATS client connection configuration (optional)"," - `address`: NATS server address (e.g., \"nats://localhost:4222\")"," - `username`: Authentication username (optional)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c3ae819c-53f4-4110-9827-43365f41239f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"b0307d1b-af26-4a72-98fa-29be6ec107d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015HPC3aGVNoZfrpoSLwPDYb","type":"message","role":"assistant","content":[{"type":"text","text":"Now verify everything still builds."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":388,"cache_read_input_tokens":50204,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":388},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6f8GJwJudmFwiFhi2hz","type":"assistant","uuid":"e3522db0-1d9d-496e-93ae-49d0d553526a","timestamp":"2026-03-16T11:11:39.659Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"e3522db0-1d9d-496e-93ae-49d0d553526a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015HPC3aGVNoZfrpoSLwPDYb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FMV5dCdzNPN5N93JpeUSTe","name":"Bash","input":{"command":"go build ./...","description":"Verify build after all changes"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":388,"cache_read_input_tokens":50204,"output_tokens":83,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":388,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6f8GJwJudmFwiFhi2hz","type":"assistant","uuid":"18e3c66f-94e4-47b3-a685-d5c5ee297ba6","timestamp":"2026-03-16T11:11:39.968Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"18e3c66f-94e4-47b3-a685-d5c5ee297ba6","isSidechain":false,"promptId":"424bb283-9622-4c78-ab8d-57d55b32d949","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FMV5dCdzNPN5N93JpeUSTe","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"788c4648-ba43-44d1-83fd-4d3505ffe8a0","timestamp":"2026-03-16T11:11:45.712Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"18e3c66f-94e4-47b3-a685-d5c5ee297ba6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"23bd02ee-e611-4488-a3d4-71ca93985943","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"788c4648-ba43-44d1-83fd-4d3505ffe8a0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Aa7NSBkbGDkM6wrdDSNDvR","type":"message","role":"assistant","content":[{"type":"text","text":"All done. 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b/3a/40b75edd68/0/prompt.txt new file mode 100644 index 00000000..1cb55cad --- /dev/null +++ b/3a/40b75edd68/0/prompt.txt @@ -0,0 +1 @@ +Also updaten the documentation and config schema to reflect the new options \ No newline at end of file diff --git a/3a/40b75edd68/1/content_hash.txt b/3a/40b75edd68/1/content_hash.txt new file mode 100644 index 00000000..aa8a9cb2 --- /dev/null +++ b/3a/40b75edd68/1/content_hash.txt @@ -0,0 +1 @@ +sha256:ef3b13c0b51b67706a93ffe617a94486f86a364c1f279f7dd234bb5c6145c80a \ No newline at end of file diff --git a/3a/40b75edd68/1/full.jsonl b/3a/40b75edd68/1/full.jsonl new file mode 100644 index 00000000..3cd36aa5 --- /dev/null +++ b/3a/40b75edd68/1/full.jsonl @@ -0,0 +1,432 @@ +{"type":"file-history-snapshot","messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","toolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","timestamp":"2026-03-16T10:12:34.962Z","uuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0cc8876b-10ce-4edf-943f-0617397039d7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkBW59RCY6tGSB56nAGA//z3lRvJEDn5iJLOClMZGjxNRiWuAGiCmaIgNTdta1Sy/TNzx1kW0Sge7rGR/PxRSRnzEgxrFv+VHTFTR4clEKEaDKuKPoUxVzMZVaZOcCIwSK/bX+m7pbn9zNbcObjeGbtEDnVl0XG+IWu13/bGiaxsvKlev7b3kMGDZZMYJ4PDKnA+xKfCbHmkjIUA2GiAZssRADapW2wdfwvf2TjdNKGhvAUmpIn22yVZAzKMoknki+EsxETxurlV826f8SUVQWHw2gyAIAGvUmo50dlWOQyFl8FHykjapLmt1VYXaRxmaxdvoRGB6c2paNwsN0gPxnuWGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"05234723-9c30-4f6a-906f-0a704bf53634","timestamp":"2026-03-16T10:12:38.222Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"05234723-9c30-4f6a-906f-0a704bf53634","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"text","text":"I'll start by reading all the files that need to be modified."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"be91377f-2d87-4886-832a-0c3f66162a68","timestamp":"2026-03-16T10:12:38.666Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"be91377f-2d87-4886-832a-0c3f66162a68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","timestamp":"2026-03-16T10:12:39.531Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","toolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","timestamp":"2026-03-16T10:12:39.545Z","uuid":"9a0f39be-6570-40f2-ac77-182757e68941","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n 43→\t}\n 44→\n 45→\tfor _, pragma := range pragmas {\n 46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 47→\t\tif err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\treturn nil\n 53→}\n 54→\n 55→func Connect(db string) {\n 56→\tvar err error\n 57→\tvar dbHandle *sqlx.DB\n 58→\n 59→\tdbConnOnce.Do(func() {\n 60→\t\topts := DatabaseOptions{\n 61→\t\t\tURL: db,\n 62→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 63→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 66→\t\t}\n 67→\n 68→\t\t// TODO: Have separate DB handles for Writes and Reads\n 69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 70→\t\tconnectionURLParams := make(url.Values)\n 71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n 76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n 77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 79→\n 80→\t\tif cclog.Loglevel() == \"debug\" {\n 81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 83→\t\t} else {\n 84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 85→\t\t}\n 86→\n 87→\t\tif err != nil {\n 88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 89→\t\t}\n 90→\n 91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n 92→\t\tif err != nil {\n 93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 94→\t\t}\n 95→\n 96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n 97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n 98→\n 99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 103→\n 104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 105→\t\terr = checkDBVersion(dbHandle.DB)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 108→\t\t}\n 109→\t})\n 110→}\n 111→\n 112→func GetConnection() *DBConnection {\n 113→\tif dbConnInstance == nil {\n 114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 115→\t}\n 116→\n 117→\treturn dbConnInstance\n 118→}\n 119→\n 120→// ResetConnection closes the current database connection and resets the connection state.\n 121→// This function is intended for testing purposes only to allow test isolation.\n 122→func ResetConnection() error {\n 123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 126→\t\t}\n 127→\t}\n 128→\n 129→\tdbConnInstance = nil\n 130→\tdbConnOnce = sync.Once{}\n 131→\tjobRepoInstance = nil\n 132→\tjobRepoOnce = sync.Once{}\n 133→\tnodeRepoInstance = nil\n 134→\tnodeRepoOnce = sync.Once{}\n 135→\tuserRepoInstance = nil\n 136→\tuserRepoOnce = sync.Once{}\n 137→\tuserCfgRepoInstance = nil\n 138→\tuserCfgRepoOnce = sync.Once{}\n 139→\n 140→\treturn nil\n 141→}\n 142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012orF9pg72YJWFiTr5U3zzS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","timestamp":"2026-03-16T10:12:40.037Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012orF9pg72YJWFiTr5U3zzS","toolUseID":"toolu_012orF9pg72YJWFiTr5U3zzS","timestamp":"2026-03-16T10:12:40.045Z","uuid":"6db8547c-bb54-48b0-9773-cad21dff17bf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→\n 38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n 39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n 40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n 41→\t// Default: 2048 (2GB)\n 42→\tDbCacheSizeMB int\n 43→\n 44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n 45→\t// SQLite will try to release cache pages to stay under this limit.\n 46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n 47→\t// Default: 16384 (16GB)\n 48→\tDbSoftHeapLimitMB int\n 49→}\n 50→\n 51→// DefaultConfig returns the default repository configuration.\n 52→// These values are optimized for typical deployments.\n 53→func DefaultConfig() *RepositoryConfig {\n 54→\treturn &RepositoryConfig{\n 55→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 56→\t\tMaxOpenConnections: 4,\n 57→\t\tMaxIdleConnections: 4,\n 58→\t\tConnectionMaxLifetime: time.Hour,\n 59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 60→\t\tMinRunningJobDuration: 600, // 10 minutes\n 61→\t\tDbCacheSizeMB: 2048, // 2GB per connection\n 62→\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n 63→\t}\n 64→}\n 65→\n 66→// repoConfig is the package-level configuration instance.\n 67→// It is initialized with defaults and can be overridden via SetConfig.\n 68→var repoConfig *RepositoryConfig = DefaultConfig()\n 69→\n 70→// SetConfig sets the repository configuration.\n 71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 72→// If not called, default values from DefaultConfig() are used.\n 73→func SetConfig(cfg *RepositoryConfig) {\n 74→\tif cfg != nil {\n 75→\t\trepoConfig = cfg\n 76→\t}\n 77→}\n 78→\n 79→// GetConfig returns the current repository configuration.\n 80→func GetConfig() *RepositoryConfig {\n 81→\treturn repoConfig\n 82→}\n 83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB: 2048, // 2GB per connection\n\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","timestamp":"2026-03-16T10:12:40.450Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ApteHWPiKLmA7YP4uFfRyv","toolUseID":"toolu_01ApteHWPiKLmA7YP4uFfRyv","timestamp":"2026-03-16T10:12:40.472Z","uuid":"e613e3e6-6827-412b-aa59-db18bca3b3b3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package archive\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"compress/gzip\"\n 11→\t\"database/sql\"\n 12→\t\"encoding/json\"\n 13→\t\"fmt\"\n 14→\t\"io\"\n 15→\t\"math\"\n 16→\t\"os\"\n 17→\t\"slices\"\n 18→\t\"strconv\"\n 19→\t\"sync\"\n 20→\t\"text/tabwriter\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 27→\t_ \"github.com/mattn/go-sqlite3\"\n 28→)\n 29→\n 30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n 31→type SqliteArchiveConfig struct {\n 32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n 33→}\n 34→\n 35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n 36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n 37→//\n 38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n 39→type SqliteArchive struct {\n 40→\tdb *sql.DB // SQLite database connection\n 41→\tclusters []string // List of discovered cluster names\n 42→}\n 43→\n 44→// sqliteSchema defines the database schema for SQLite archive backend.\n 45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n 46→// Clusters table: stores cluster configurations\n 47→// Metadata table: stores version and other key-value pairs\n 48→const sqliteSchema = `\n 49→CREATE TABLE IF NOT EXISTS jobs (\n 50→ id INTEGER PRIMARY KEY AUTOINCREMENT,\n 51→ job_id INTEGER NOT NULL,\n 52→ cluster TEXT NOT NULL,\n 53→ start_time INTEGER NOT NULL,\n 54→ meta_json BLOB NOT NULL,\n 55→ data_json BLOB,\n 56→ data_compressed BOOLEAN DEFAULT 0,\n 57→ created_at INTEGER NOT NULL,\n 58→ updated_at INTEGER NOT NULL,\n 59→ UNIQUE(job_id, cluster, start_time)\n 60→);\n 61→\n 62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n 63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n 64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n 65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n 66→\n 67→CREATE TABLE IF NOT EXISTS clusters (\n 68→ name TEXT PRIMARY KEY,\n 69→ config_json BLOB NOT NULL,\n 70→ updated_at INTEGER NOT NULL\n 71→);\n 72→\n 73→CREATE TABLE IF NOT EXISTS metadata (\n 74→ key TEXT PRIMARY KEY,\n 75→ value TEXT NOT NULL\n 76→);\n 77→`\n 78→\n 79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n 80→\tvar cfg SqliteArchiveConfig\n 81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n 82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n 83→\t\treturn 0, err\n 84→\t}\n 85→\n 86→\tif cfg.DBPath == \"\" {\n 87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n 88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n 89→\t\treturn 0, err\n 90→\t}\n 91→\n 92→\t// Open SQLite database\n 93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n 94→\tif err != nil {\n 95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n 96→\t\treturn 0, err\n 97→\t}\n 98→\tsa.db = db\n 99→\n 100→\t// Set pragmas for better performance\n 101→\tpragmas := []string{\n 102→\t\t\"PRAGMA journal_mode=WAL\",\n 103→\t\t\"PRAGMA synchronous=NORMAL\",\n 104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n 105→\t\t\"PRAGMA busy_timeout=5000\",\n 106→\t}\n 107→\tfor _, pragma := range pragmas {\n 108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n 109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n 110→\t\t}\n 111→\t}\n 112→\n 113→\t// Create schema\n 114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n 115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n 116→\t\treturn 0, err\n 117→\t}\n 118→\n 119→\t// Check/set version\n 120→\tvar versionStr string\n 121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n 122→\tif err == sql.ErrNoRows {\n 123→\t\t// First time initialization, set version\n 124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n 125→\t\tif err != nil {\n 126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n 127→\t\t\treturn 0, err\n 128→\t\t}\n 129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n 130→\t} else if err != nil {\n 131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n 132→\t\treturn 0, err\n 133→\t}\n 134→\n 135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n 136→\tif err != nil {\n 137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n 138→\t\treturn 0, err\n 139→\t}\n 140→\n 141→\tif version != Version {\n 142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n 143→\t}\n 144→\n 145→\t// Discover clusters\n 146→\tsa.clusters = []string{}\n 147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n 148→\tif err != nil {\n 149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n 150→\t\treturn 0, err\n 151→\t}\n 152→\tdefer rows.Close()\n 153→\n 154→\tfor rows.Next() {\n 155→\t\tvar cluster string\n 156→\t\tif err := rows.Scan(&cluster); err != nil {\n 157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n 158→\t\t\tcontinue\n 159→\t\t}\n 160→\t\tsa.clusters = append(sa.clusters, cluster)\n 161→\t}\n 162→\n 163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n 164→\treturn version, nil\n 165→}\n 166→\n 167→func (sa *SqliteArchive) Info() {\n 168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n 169→\n 170→\tci := make(map[string]*clusterInfo)\n 171→\n 172→\trows, err := sa.db.Query(`\n 173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n 174→\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n 175→\t\tFROM jobs\n 176→\t\tGROUP BY cluster\n 177→\t`)\n 178→\tif err != nil {\n 179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n 180→\t}\n 181→\tdefer rows.Close()\n 182→\n 183→\tfor rows.Next() {\n 184→\t\tvar cluster string\n 185→\t\tvar numJobs int\n 186→\t\tvar dateFirst, dateLast int64\n 187→\t\tvar diskSize int64\n 188→\n 189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n 190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n 191→\t\t\tcontinue\n 192→\t\t}\n 193→\n 194→\t\tci[cluster] = &clusterInfo{\n 195→\t\t\tnumJobs: numJobs,\n 196→\t\t\tdateFirst: dateFirst,\n 197→\t\t\tdateLast: dateLast,\n 198→\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n 199→\t\t}\n 200→\t}\n 201→\n 202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n 203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n 204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n 205→\tfor cluster, clusterInfo := range ci {\n 206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n 207→\t\t\tclusterInfo.numJobs,\n 208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n 209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n 210→\t\t\tclusterInfo.diskSize)\n 211→\n 212→\t\tcit.numJobs += clusterInfo.numJobs\n 213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n 214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n 215→\t\tcit.diskSize += clusterInfo.diskSize\n 216→\t}\n 217→\n 218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n 219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n 220→\tw.Flush()\n 221→}\n 222→\n 223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n 224→\tvar count int\n 225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n 227→\treturn err == nil && count > 0\n 228→}\n 229→\n 230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n 231→\tvar metaBlob []byte\n 232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n 234→\tif err != nil {\n 235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n 236→\t\treturn nil, err\n 237→\t}\n 238→\n 239→\tif config.Keys.Validate {\n 240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n 241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n 242→\t\t}\n 243→\t}\n 244→\n 245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n 246→}\n 247→\n 248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n 249→\tvar dataBlob []byte\n 250→\tvar compressed bool\n 251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 253→\tif err != nil {\n 254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n 255→\t\treturn nil, err\n 256→\t}\n 257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 258→\n 259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n 260→\tif compressed {\n 261→\t\tgzipReader, err := gzip.NewReader(reader)\n 262→\t\tif err != nil {\n 263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n 264→\t\t\treturn nil, err\n 265→\t\t}\n 266→\t\tdefer gzipReader.Close()\n 267→\t\treader = gzipReader\n 268→\t}\n 269→\n 270→\tif config.Keys.Validate {\n 271→\t\tdata, _ := io.ReadAll(reader)\n 272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n 273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n 274→\t\t}\n 275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n 276→\t}\n 277→\n 278→\treturn DecodeJobData(reader, key)\n 279→}\n 280→\n 281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n 282→\tvar dataBlob []byte\n 283→\tvar compressed bool\n 284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 286→\tif err != nil {\n 287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n 288→\t\treturn nil, err\n 289→\t}\n 290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 291→\n 292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n 293→\tif compressed {\n 294→\t\tgzipReader, err := gzip.NewReader(reader)\n 295→\t\tif err != nil {\n 296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n 297→\t\t\treturn nil, err\n 298→\t\t}\n 299→\t\tdefer gzipReader.Close()\n 300→\t\treader = gzipReader\n 301→\t}\n 302→\n 303→\tif config.Keys.Validate {\n 304→\t\tdata, _ := io.ReadAll(reader)\n 305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n 306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n 307→\t\t}\n 308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n 309→\t}\n 310→\n 311→\treturn DecodeJobStats(reader, key)\n 312→}\n 313→\n 314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n 315→\tvar configBlob []byte\n 316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n 317→\tif err != nil {\n 318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n 319→\t\treturn nil, err\n 320→\t}\n 321→\n 322→\tif config.Keys.Validate {\n 323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n 324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n 325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n 326→\t\t}\n 327→\t}\n 328→\n 329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n 330→}\n 331→\n 332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n 333→\tvar metaBuf bytes.Buffer\n 334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n 335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n 336→\t\treturn err\n 337→\t}\n 338→\n 339→\tnow := time.Now().Unix()\n 340→\t_, err := sa.db.Exec(`\n 341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n 342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n 343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n 344→\t\t\tmeta_json = excluded.meta_json,\n 345→\t\t\tupdated_at = excluded.updated_at\n 346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n 347→\tif err != nil {\n 348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n 349→\t\treturn err\n 350→\t}\n 351→\n 352→\treturn nil\n 353→}\n 354→\n 355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n 356→\tvar metaBuf, dataBuf bytes.Buffer\n 357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n 358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n 359→\t\treturn err\n 360→\t}\n 361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n 362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n 363→\t\treturn err\n 364→\t}\n 365→\n 366→\tvar dataBytes []byte\n 367→\tvar compressed bool\n 368→\n 369→\tif dataBuf.Len() > 2000 {\n 370→\t\tvar compressedBuf bytes.Buffer\n 371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n 372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n 373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n 374→\t\t\treturn err\n 375→\t\t}\n 376→\t\tif err := gzipWriter.Close(); err != nil {\n 377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n 378→\t\t\treturn err\n 379→\t\t}\n 380→\t\tdataBytes = compressedBuf.Bytes()\n 381→\t\tcompressed = true\n 382→\t} else {\n 383→\t\tdataBytes = dataBuf.Bytes()\n 384→\t\tcompressed = false\n 385→\t}\n 386→\n 387→\tnow := time.Now().Unix()\n 388→\t_, err := sa.db.Exec(`\n 389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n 390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n 391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n 392→\t\t\tmeta_json = excluded.meta_json,\n 393→\t\t\tdata_json = excluded.data_json,\n 394→\t\t\tdata_compressed = excluded.data_compressed,\n 395→\t\t\tupdated_at = excluded.updated_at\n 396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n 397→\tif err != nil {\n 398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n 399→\t\treturn err\n 400→\t}\n 401→\n 402→\treturn nil\n 403→}\n 404→\n 405→func (sa *SqliteArchive) GetClusters() []string {\n 406→\treturn sa.clusters\n 407→}\n 408→\n 409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n 410→\tstart := time.Now()\n 411→\tcount := 0\n 412→\n 413→\ttx, err := sa.db.Begin()\n 414→\tif err != nil {\n 415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n 416→\t\treturn\n 417→\t}\n 418→\tdefer tx.Rollback()\n 419→\n 420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n 421→\tif err != nil {\n 422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n 423→\t\treturn\n 424→\t}\n 425→\tdefer stmt.Close()\n 426→\n 427→\tfor _, job := range jobs {\n 428→\t\tif job == nil {\n 429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n 430→\t\t\tcontinue\n 431→\t\t}\n 432→\n 433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n 434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n 435→\t\t} else {\n 436→\t\t\tcount++\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tif err := tx.Commit(); err != nil {\n 441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n 442→\t\treturn\n 443→\t}\n 444→\n 445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n 446→}\n 447→\n 448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n 449→\t// For SQLite, \"move\" means updating the cluster field or similar\n 450→\t// This is interpretation-dependent; for now we'll just log\n 451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n 452→}\n 453→\n 454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n 455→\tif after == 0 {\n 456→\t\tafter = math.MaxInt64\n 457→\t}\n 458→\n 459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n 460→\tif err != nil {\n 461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n 462→\t}\n 463→\n 464→\trowsAffected, _ := result.RowsAffected()\n 465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n 466→}\n 467→\n 468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n 469→\tvar cnt int\n 470→\tstart := time.Now()\n 471→\n 472→\ttx, err := sa.db.Begin()\n 473→\tif err != nil {\n 474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n 475→\t\treturn\n 476→\t}\n 477→\tdefer tx.Rollback()\n 478→\n 479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n 480→\tif err != nil {\n 481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n 482→\t\treturn\n 483→\t}\n 484→\tdefer stmt.Close()\n 485→\n 486→\tfor _, job := range jobs {\n 487→\t\tvar dataBlob []byte\n 488→\t\tvar compressed bool\n 489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n 492→\t\t\tcontinue // Skip if error, already compressed, or too small\n 493→\t\t}\n 494→\n 495→\t\t// Compress the data\n 496→\t\tvar compressedBuf bytes.Buffer\n 497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n 498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n 499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n 500→\t\t\tgzipWriter.Close()\n 501→\t\t\tcontinue\n 502→\t\t}\n 503→\t\tgzipWriter.Close()\n 504→\n 505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n 506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n 507→\t\t} else {\n 508→\t\t\tcnt++\n 509→\t\t}\n 510→\t}\n 511→\n 512→\tif err := tx.Commit(); err != nil {\n 513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n 514→\t\treturn\n 515→\t}\n 516→\n 517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n 518→}\n 519→\n 520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n 521→\tvar lastStr string\n 522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n 523→\n 524→\tvar last int64\n 525→\tif err == sql.ErrNoRows {\n 526→\t\tlast = starttime\n 527→\t} else if err != nil {\n 528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n 529→\t\tlast = starttime\n 530→\t} else {\n 531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n 532→\t\tif err != nil {\n 533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n 534→\t\t\tlast = starttime\n 535→\t\t}\n 536→\t}\n 537→\n 538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n 539→\n 540→\t// Update timestamp\n 541→\t_, err = sa.db.Exec(`\n 542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n 543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n 544→\t`, fmt.Sprintf(\"%d\", starttime))\n 545→\tif err != nil {\n 546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n 547→\t}\n 548→\n 549→\treturn last\n 550→}\n 551→\n 552→type sqliteJobRow struct {\n 553→\tmetaBlob []byte\n 554→\tdataBlob []byte\n 555→\tcompressed bool\n 556→}\n 557→\n 558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n 559→\tch := make(chan JobContainer)\n 560→\n 561→\tgo func() {\n 562→\t\tdefer close(ch)\n 563→\n 564→\t\tconst chunkSize = 1000\n 565→\t\toffset := 0\n 566→\n 567→\t\tvar query string\n 568→\t\tif loadMetricData {\n 569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n 570→\t\t} else {\n 571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n 572→\t\t}\n 573→\n 574→\t\tnumWorkers := 4\n 575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n 576→\t\tvar wg sync.WaitGroup\n 577→\n 578→\t\tfor range numWorkers {\n 579→\t\t\twg.Go(func() {\n 580→\t\t\t\tfor row := range jobRows {\n 581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n 582→\t\t\t\t\tif err != nil {\n 583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n 584→\t\t\t\t\t\tcontinue\n 585→\t\t\t\t\t}\n 586→\n 587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n 588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n 589→\t\t\t\t\t\tif row.compressed {\n 590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n 591→\t\t\t\t\t\t\tif err != nil {\n 592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n 593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 594→\t\t\t\t\t\t\t\tcontinue\n 595→\t\t\t\t\t\t\t}\n 596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n 597→\t\t\t\t\t\t\tgzipReader.Close()\n 598→\t\t\t\t\t\t\tif err != nil {\n 599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n 600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 601→\t\t\t\t\t\t\t\tcontinue\n 602→\t\t\t\t\t\t\t}\n 603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n 604→\t\t\t\t\t\t}\n 605→\n 606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n 608→\t\t\t\t\t\tif err != nil {\n 609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n 610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 611→\t\t\t\t\t\t} else {\n 612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n 613→\t\t\t\t\t\t}\n 614→\t\t\t\t\t} else {\n 615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 616→\t\t\t\t\t}\n 617→\t\t\t\t}\n 618→\t\t\t})\n 619→\t\t}\n 620→\n 621→\t\tfor {\n 622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n 623→\t\t\tif err != nil {\n 624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n 625→\t\t\t}\n 626→\n 627→\t\t\trowCount := 0\n 628→\t\t\tfor rows.Next() {\n 629→\t\t\t\tvar row sqliteJobRow\n 630→\n 631→\t\t\t\tif loadMetricData {\n 632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n 633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n 634→\t\t\t\t\t\tcontinue\n 635→\t\t\t\t\t}\n 636→\t\t\t\t} else {\n 637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n 638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n 639→\t\t\t\t\t\tcontinue\n 640→\t\t\t\t\t}\n 641→\t\t\t\t\trow.dataBlob = nil\n 642→\t\t\t\t\trow.compressed = false\n 643→\t\t\t\t}\n 644→\n 645→\t\t\t\tjobRows <- row\n 646→\t\t\t\trowCount++\n 647→\t\t\t}\n 648→\t\t\trows.Close()\n 649→\n 650→\t\t\tif rowCount < chunkSize {\n 651→\t\t\t\tbreak\n 652→\t\t\t}\n 653→\n 654→\t\t\toffset += chunkSize\n 655→\t\t}\n 656→\n 657→\t\tclose(jobRows)\n 658→\t\twg.Wait()\n 659→\t}()\n 660→\n 661→\treturn ch\n 662→}\n 663→\n 664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n 665→\tvar configBuf bytes.Buffer\n 666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n 667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n 668→\t\treturn err\n 669→\t}\n 670→\n 671→\tnow := time.Now().Unix()\n 672→\t_, err := sa.db.Exec(`\n 673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n 674→\t\tVALUES (?, ?, ?)\n 675→\t\tON CONFLICT(name) DO UPDATE SET\n 676→\t\t\tconfig_json = excluded.config_json,\n 677→\t\t\tupdated_at = excluded.updated_at\n 678→\t`, name, configBuf.Bytes(), now)\n 679→\tif err != nil {\n 680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n 681→\t\treturn err\n 682→\t}\n 683→\n 684→\t// Update clusters list if new\n 685→\tfound := slices.Contains(sa.clusters, name)\n 686→\tif !found {\n 687→\t\tsa.clusters = append(sa.clusters, name)\n 688→\t}\n 689→\n 690→\treturn nil\n 691→}\n 692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb *sql.DB // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n job_id INTEGER NOT NULL,\n cluster TEXT NOT NULL,\n start_time INTEGER NOT NULL,\n meta_json BLOB NOT NULL,\n data_json BLOB,\n data_compressed BOOLEAN DEFAULT 0,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL,\n UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n name TEXT PRIMARY KEY,\n config_json BLOB NOT NULL,\n updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n key TEXT PRIMARY KEY,\n value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs: numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast: dateLast,\n\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob []byte\n\tdataBlob []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RUChJr4277fRqYrmyucysh","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","timestamp":"2026-03-16T10:12:40.900Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RUChJr4277fRqYrmyucysh","toolUseID":"toolu_01RUChJr4277fRqYrmyucysh","timestamp":"2026-03-16T10:12:41.123Z","uuid":"bd8768f9-8c15-4589-8610-5850b4638227","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2188f7a5-cd29-489c-9a95-04382c575155","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","timestamp":"2026-03-16T10:12:41.382Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SbAkMWCk98L7vU7dNCyC7L","toolUseID":"toolu_01SbAkMWCk98L7vU7dNCyC7L","timestamp":"2026-03-16T10:12:41.400Z","uuid":"cafcb518-9cb5-4b1d-9394-e9340ec77c79","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→}\n 68→\n 69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 70→func NewNatsAPI() *NatsAPI {\n 71→\treturn &NatsAPI{\n 72→\t\tJobRepository: repository.GetJobRepository(),\n 73→\t}\n 74→}\n 75→\n 76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 77→// Returns an error if the NATS client is not available or subscription fails.\n 78→func (api *NatsAPI) StartSubscriptions() error {\n 79→\tclient := nats.GetClient()\n 80→\tif client == nil {\n 81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif config.Keys.APISubjects != nil {\n 86→\n 87→\t\ts := config.Keys.APISubjects\n 88→\n 89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 90→\t\t\treturn err\n 91→\t\t}\n 92→\n 93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 94→\t\t\treturn err\n 95→\t\t}\n 96→\n 97→\t\tcclog.Info(\"NATS API subscriptions started\")\n 98→\t}\n 99→\treturn nil\n 100→}\n 101→\n 102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 103→// Validates that required tags and fields are present before processing.\n 104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 105→\tfunction, ok := msg.GetTag(\"function\")\n 106→\tif !ok {\n 107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 108→\t\treturn\n 109→\t}\n 110→\n 111→\tswitch function {\n 112→\tcase \"start_job\":\n 113→\t\tv, ok := msg.GetEventValue()\n 114→\t\tif !ok {\n 115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 116→\t\t\treturn\n 117→\t\t}\n 118→\t\tapi.handleStartJob(v)\n 119→\n 120→\tcase \"stop_job\":\n 121→\t\tv, ok := msg.GetEventValue()\n 122→\t\tif !ok {\n 123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 124→\t\t\treturn\n 125→\t\t}\n 126→\t\tapi.handleStopJob(v)\n 127→\n 128→\tdefault:\n 129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 130→\t}\n 131→}\n 132→\n 133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 134→// The message must be in line protocol format with measurement=\"job\" and include:\n 135→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 136→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 137→//\n 138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 140→\tif len(data) == 0 {\n 141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 142→\t\treturn\n 143→\t}\n 144→\n 145→\td := influx.NewDecoderWithBytes(data)\n 146→\n 147→\tfor d.Next() {\n 148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 149→\t\tif err != nil {\n 150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 151→\t\t\treturn\n 152→\t\t}\n 153→\n 154→\t\tif !m.IsEvent() {\n 155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 156→\t\t\tcontinue\n 157→\t\t}\n 158→\n 159→\t\tif m.Name() == \"job\" {\n 160→\t\t\tapi.processJobEvent(m)\n 161→\t\t} else {\n 162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 163→\t\t}\n 164→\t}\n 165→}\n 166→\n 167→// handleStartJob processes job start messages received via NATS.\n 168→// The payload parameter contains JSON following the schema.Job structure.\n 169→// Jobs are validated, checked for duplicates, and inserted into the database.\n 170→func (api *NatsAPI) handleStartJob(payload string) {\n 171→\tif payload == \"\" {\n 172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 173→\t\treturn\n 174→\t}\n 175→\treq := schema.Job{\n 176→\t\tShared: \"none\",\n 177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 178→\t}\n 179→\n 180→\tdec := json.NewDecoder(strings.NewReader(payload))\n 181→\tdec.DisallowUnknownFields()\n 182→\tif err := dec.Decode(&req); err != nil {\n 183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 184→\t\treturn\n 185→\t}\n 186→\n 187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 188→\treq.State = schema.JobStateRunning\n 189→\n 190→\tif err := importer.SanityChecks(&req); err != nil {\n 191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 192→\t\treturn\n 193→\t}\n 194→\n 195→\tvar unlockOnce sync.Once\n 196→\tapi.RepositoryMutex.Lock()\n 197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 198→\n 199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 200→\tif err != nil && err != sql.ErrNoRows {\n 201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 202→\t\treturn\n 203→\t}\n 204→\tif err == nil {\n 205→\t\tfor _, job := range jobs {\n 206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 209→\t\t\t\treturn\n 210→\t\t\t}\n 211→\t\t}\n 212→\t}\n 213→\n 214→\t// When tags are present, insert directly into the job table so that the\n 215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 216→\tvar id int64\n 217→\tif len(req.Tags) > 0 {\n 218→\t\tid, err = api.JobRepository.StartDirect(&req)\n 219→\t} else {\n 220→\t\tid, err = api.JobRepository.Start(&req)\n 221→\t}\n 222→\tif err != nil {\n 223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 224→\t\treturn\n 225→\t}\n 226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 227→\n 228→\tfor _, tag := range req.Tags {\n 229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 231→\t\t\treturn\n 232→\t\t}\n 233→\t}\n 234→\n 235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 237→}\n 238→\n 239→// handleStopJob processes job stop messages received via NATS.\n 240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 242→func (api *NatsAPI) handleStopJob(payload string) {\n 243→\tif payload == \"\" {\n 244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 245→\t\treturn\n 246→\t}\n 247→\tvar req StopJobAPIRequest\n 248→\n 249→\tdec := json.NewDecoder(strings.NewReader(payload))\n 250→\tdec.DisallowUnknownFields()\n 251→\tif err := dec.Decode(&req); err != nil {\n 252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 253→\t\treturn\n 254→\t}\n 255→\n 256→\tif req.JobID == nil {\n 257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 258→\t\treturn\n 259→\t}\n 260→\n 261→\tisCached := false\n 262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 263→\tif err != nil {\n 264→\t\t// Not in cache, try main job table\n 265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 266→\t\tif err != nil {\n 267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 268→\t\t\treturn\n 269→\t\t}\n 270→\t} else {\n 271→\t\tisCached = true\n 272→\t}\n 273→\n 274→\tif job.State != schema.JobStateRunning {\n 275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 277→\t\treturn\n 278→\t}\n 279→\n 280→\tif job.StartTime > req.StopTime {\n 281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 283→\t\treturn\n 284→\t}\n 285→\n 286→\tif req.State != \"\" && !req.State.Valid() {\n 287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 289→\t\treturn\n 290→\t} else if req.State == \"\" {\n 291→\t\treq.State = schema.JobStateCompleted\n 292→\t}\n 293→\n 294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n 295→\tjob.State = req.State\n 296→\tapi.JobRepository.Mutex.Lock()\n 297→\tdefer api.JobRepository.Mutex.Unlock()\n 298→\n 299→\t// If the job is still in job_cache, transfer it to the job table first\n 300→\tif isCached {\n 301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n 302→\t\tif err != nil {\n 303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n 304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n 305→\t\t\treturn\n 306→\t\t}\n 307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n 308→\t\tjob.ID = &newID\n 309→\t}\n 310→\n 311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n 312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n 313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n 314→\t\treturn\n 315→\t}\n 316→\n 317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n 318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n 319→\n 320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n 321→\t\treturn\n 322→\t}\n 323→\n 324→\tarchiver.TriggerArchiving(job)\n 325→}\n 326→\n 327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 328→// Updates node states in the repository for all nodes in the payload.\n 329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 330→\tv, ok := msg.GetEventValue()\n 331→\tif !ok {\n 332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 333→\t\treturn\n 334→\t}\n 335→\n 336→\tvar req UpdateNodeStatesRequest\n 337→\n 338→\tdec := json.NewDecoder(strings.NewReader(v))\n 339→\tdec.DisallowUnknownFields()\n 340→\tif err := dec.Decode(&req); err != nil {\n 341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 342→\t\treturn\n 343→\t}\n 344→\n 345→\trepo := repository.GetNodeRepository()\n 346→\trequestReceived := time.Now().Unix()\n 347→\n 348→\tfor _, node := range req.Nodes {\n 349→\t\tstate := determineState(node.States)\n 350→\t\tnodeState := schema.NodeStateDB{\n 351→\t\t\tTimeStamp: requestReceived,\n 352→\t\t\tNodeState: state,\n 353→\t\t\tCpusAllocated: node.CpusAllocated,\n 354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 355→\t\t\tGpusAllocated: node.GpusAllocated,\n 356→\t\t\tHealthState: schema.MonitoringStateFull,\n 357→\t\t\tJobsRunning: node.JobsRunning,\n 358→\t\t}\n 359→\n 360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n 361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n 362→\t\t\t\tnode.Hostname, req.Cluster, err)\n 363→\t\t}\n 364→\t}\n 365→\n 366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 367→}\n 368→\n 369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 371→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 372→//\n 373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 375→\tif len(data) == 0 {\n 376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 377→\t\treturn\n 378→\t}\n 379→\n 380→\td := influx.NewDecoderWithBytes(data)\n 381→\n 382→\tfor d.Next() {\n 383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 384→\t\tif err != nil {\n 385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 386→\t\t\treturn\n 387→\t\t}\n 388→\n 389→\t\tif !m.IsEvent() {\n 390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 391→\t\t\tcontinue\n 392→\t\t}\n 393→\n 394→\t\tif m.Name() == \"nodestate\" {\n 395→\t\t\tapi.processNodestateEvent(m)\n 396→\t\t} else {\n 397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 398→\t\t}\n 399→\t}\n 400→}\n 401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","toolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","timestamp":"2026-03-16T10:12:41.843Z","uuid":"9129b1db-0ee2-467a-9ec9-212b396d1bb4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tfor _, node := range req.Nodes {\n 120→\t\tstate := determineState(node.States)\n 121→\t\thealthState := schema.MonitoringStateFailed\n 122→\t\tvar healthMetrics string\n 123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 124→\t\t\thealthState = result.State\n 125→\t\t\thealthMetrics = result.HealthMetrics\n 126→\t\t}\n 127→\t\tnodeState := schema.NodeStateDB{\n 128→\t\t\tTimeStamp: requestReceived,\n 129→\t\t\tNodeState: state,\n 130→\t\t\tCpusAllocated: node.CpusAllocated,\n 131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 132→\t\t\tGpusAllocated: node.GpusAllocated,\n 133→\t\t\tHealthState: healthState,\n 134→\t\t\tHealthMetrics: healthMetrics,\n 135→\t\t\tJobsRunning: node.JobsRunning,\n 136→\t\t}\n 137→\n 138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n 139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n 140→\t\t\t\tnode.Hostname, req.Cluster, err)\n 141→\t\t}\n 142→\t}\n 143→\n 144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 145→}\n 146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","timestamp":"2026-03-16T10:12:42.245Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","toolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","timestamp":"2026-03-16T10:12:42.250Z","uuid":"8ec2b218-0906-411c-a125-b9d46a9cbf93","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\tdefer rows.Close()\n 106→\n 107→\tfor rows.Next() {\n 108→\t\tvar username string\n 109→\t\tif err := rows.Scan(&username); err != nil {\n 110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 111→\t\t\treturn nil, err\n 112→\t\t}\n 113→\n 114→\t\tusers = append(users, username)\n 115→\t}\n 116→\n 117→\treturn users, nil\n 118→}\n 119→\n 120→// AddUser creates a new user in the database.\n 121→// Passwords are automatically hashed with bcrypt before storage.\n 122→// Auth source determines authentication method (local, LDAP, etc.).\n 123→//\n 124→// Required fields: Username, Roles\n 125→// Optional fields: Name, Email, Password, Projects, AuthSource\n 126→func (r *UserRepository) AddUser(user *schema.User) error {\n 127→\trolesJson, _ := json.Marshal(user.Roles)\n 128→\tprojectsJson, _ := json.Marshal(user.Projects)\n 129→\n 130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 132→\n 133→\tif user.Name != \"\" {\n 134→\t\tcols = append(cols, \"name\")\n 135→\t\tvals = append(vals, user.Name)\n 136→\t}\n 137→\tif user.Email != \"\" {\n 138→\t\tcols = append(cols, \"email\")\n 139→\t\tvals = append(vals, user.Email)\n 140→\t}\n 141→\tif user.Password != \"\" {\n 142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 143→\t\tif err != nil {\n 144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 145→\t\t\treturn err\n 146→\t\t}\n 147→\t\tcols = append(cols, \"password\")\n 148→\t\tvals = append(vals, string(password))\n 149→\t}\n 150→\tif user.AuthSource != -1 {\n 151→\t\tcols = append(cols, \"ldap\")\n 152→\t\tvals = append(vals, int(user.AuthSource))\n 153→\t}\n 154→\n 155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 157→\t\treturn err\n 158→\t}\n 159→\n 160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 161→\n 162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 164→\tif err != nil {\n 165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 166→\t} else if defaultMetricsCfg != nil {\n 167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 170→\t\t\tif err != nil {\n 171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 172→\t\t\t\tcontinue\n 173→\t\t\t}\n 174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 176→\t\t\tif _, err := sq.Insert(\"configuration\").\n 177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 181→\t\t\t} else {\n 182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 183→\t\t\t}\n 184→\t\t}\n 185→\t}\n 186→\t// END DEPRECATION\n 187→\n 188→\treturn nil\n 189→}\n 190→\n 191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 192→\t// user contains updated info -> Apply to dbUser\n 193→\t// --- Simple Name Update ---\n 194→\tif dbUser.Name != user.Name {\n 195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 197→\t\t\treturn err\n 198→\t\t}\n 199→\t}\n 200→\n 201→\t// --- Def Helpers ---\n 202→\t// Helper to update roles\n 203→\tupdateRoles := func(roles []string) error {\n 204→\t\trolesJSON, _ := json.Marshal(roles)\n 205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 206→\t\treturn err\n 207→\t}\n 208→\n 209→\t// Helper to update projects\n 210→\tupdateProjects := func(projects []string) error {\n 211→\t\tprojectsJSON, _ := json.Marshal(projects)\n 212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 213→\t\treturn err\n 214→\t}\n 215→\n 216→\t// Helper to clear projects\n 217→\tclearProjects := func() error {\n 218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// --- Manager Role Handling ---\n 223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 224→\t\t// Existing Manager: update projects\n 225→\t\tif err := updateProjects(user.Projects); err != nil {\n 226→\t\t\treturn err\n 227→\t\t}\n 228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 229→\t\t// New Manager: update roles and projects\n 230→\t\tif err := updateRoles(user.Roles); err != nil {\n 231→\t\t\treturn err\n 232→\t\t}\n 233→\t\tif err := updateProjects(user.Projects); err != nil {\n 234→\t\t\treturn err\n 235→\t\t}\n 236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 237→\t\t// Remove Manager: update roles and clear projects\n 238→\t\tif err := updateRoles(user.Roles); err != nil {\n 239→\t\t\treturn err\n 240→\t\t}\n 241→\t\tif err := clearProjects(); err != nil {\n 242→\t\t\treturn err\n 243→\t\t}\n 244→\t}\n 245→\n 246→\t// --- Support Role Handling ---\n 247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 249→\t\t// New Support: update roles\n 250→\t\tif err := updateRoles(user.Roles); err != nil {\n 251→\t\t\treturn err\n 252→\t\t}\n 253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 254→\t\t// Remove Support: update roles\n 255→\t\tif err := updateRoles(user.Roles); err != nil {\n 256→\t\t\treturn err\n 257→\t\t}\n 258→\t}\n 259→\n 260→\treturn nil\n 261→}\n 262→\n 263→func (r *UserRepository) DelUser(username string) error {\n 264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 265→\tif err != nil {\n 266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 267→\t\treturn err\n 268→\t}\n 269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 270→\treturn nil\n 271→}\n 272→\n 273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 275→\tif specialsOnly {\n 276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 277→\t}\n 278→\n 279→\trows, err := q.RunWith(r.DB).Query()\n 280→\tif err != nil {\n 281→\t\tcclog.Warn(\"Error while querying user list\")\n 282→\t\treturn nil, err\n 283→\t}\n 284→\n 285→\tusers := make([]*schema.User, 0)\n 286→\tdefer rows.Close()\n 287→\tfor rows.Next() {\n 288→\t\trawroles := \"\"\n 289→\t\trawprojects := \"\"\n 290→\t\tuser := &schema.User{}\n 291→\t\tvar name, email sql.NullString\n 292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 294→\t\t\treturn nil, err\n 295→\t\t}\n 296→\n 297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 299→\t\t\treturn nil, err\n 300→\t\t}\n 301→\n 302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 303→\t\t\treturn nil, err\n 304→\t\t}\n 305→\n 306→\t\tuser.Name = name.String\n 307→\t\tuser.Email = email.String\n 308→\t\tusers = append(users, user)\n 309→\t}\n 310→\treturn users, nil\n 311→}\n 312→\n 313→// AddRole adds a role to a user's role list.\n 314→// Role string is automatically lowercased.\n 315→// Valid roles: admin, support, manager, api, user\n 316→//\n 317→// Returns error if:\n 318→// - User doesn't exist\n 319→// - Role is invalid\n 320→// - User already has the role\n 321→func (r *UserRepository) AddRole(\n 322→\tctx context.Context,\n 323→\tusername string,\n 324→\tqueryrole string,\n 325→) error {\n 326→\tnewRole := strings.ToLower(queryrole)\n 327→\tuser, err := r.GetUser(username)\n 328→\tif err != nil {\n 329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 330→\t\treturn err\n 331→\t}\n 332→\n 333→\texists, valid := user.HasValidRole(newRole)\n 334→\n 335→\tif !valid {\n 336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 337→\t}\n 338→\tif exists {\n 339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 340→\t}\n 341→\n 342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 345→\t\treturn err\n 346→\t}\n 347→\treturn nil\n 348→}\n 349→\n 350→// RemoveRole removes a role from a user's role list.\n 351→//\n 352→// Special rules:\n 353→// - Cannot remove \"manager\" role while user has assigned projects\n 354→// - Must remove all projects first before removing manager role\n 355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 356→\toldRole := strings.ToLower(queryrole)\n 357→\tuser, err := r.GetUser(username)\n 358→\tif err != nil {\n 359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 360→\t\treturn err\n 361→\t}\n 362→\n 363→\texists, valid := user.HasValidRole(oldRole)\n 364→\n 365→\tif !valid {\n 366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 367→\t}\n 368→\tif !exists {\n 369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 370→\t}\n 371→\n 372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 374→\t}\n 375→\n 376→\tvar newroles []string\n 377→\tfor _, r := range user.Roles {\n 378→\t\tif r != oldRole {\n 379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 380→\t\t}\n 381→\t}\n 382→\n 383→\tmroles, _ := json.Marshal(newroles)\n 384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 386→\t\treturn err\n 387→\t}\n 388→\treturn nil\n 389→}\n 390→\n 391→// AddProject assigns a project to a manager user.\n 392→// Only users with the \"manager\" role can have assigned projects.\n 393→//\n 394→// Returns error if:\n 395→// - User doesn't have manager role\n 396→// - User already manages the project\n 397→func (r *UserRepository) AddProject(\n 398→\tctx context.Context,\n 399→\tusername string,\n 400→\tproject string,\n 401→) error {\n 402→\tuser, err := r.GetUser(username)\n 403→\tif err != nil {\n 404→\t\treturn err\n 405→\t}\n 406→\n 407→\tif !user.HasRole(schema.RoleManager) {\n 408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 409→\t}\n 410→\n 411→\tif user.HasProject(project) {\n 412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 413→\t}\n 414→\n 415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 417→\t\treturn err\n 418→\t}\n 419→\n 420→\treturn nil\n 421→}\n 422→\n 423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 424→\tuser, err := r.GetUser(username)\n 425→\tif err != nil {\n 426→\t\treturn err\n 427→\t}\n 428→\n 429→\tif !user.HasRole(schema.RoleManager) {\n 430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 431→\t}\n 432→\n 433→\tif !user.HasProject(project) {\n 434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 435→\t}\n 436→\n 437→\tvar exists bool\n 438→\tvar newprojects []string\n 439→\tfor _, p := range user.Projects {\n 440→\t\tif p != project {\n 441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 442→\t\t} else {\n 443→\t\t\texists = true\n 444→\t\t}\n 445→\t}\n 446→\n 447→\tif exists {\n 448→\t\tvar result any\n 449→\t\tif len(newprojects) == 0 {\n 450→\t\t\tresult = \"[]\"\n 451→\t\t} else {\n 452→\t\t\tresult, _ = json.Marshal(newprojects)\n 453→\t\t}\n 454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 455→\t\t\treturn err\n 456→\t\t}\n 457→\t\treturn nil\n 458→\t} else {\n 459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 460→\t}\n 461→}\n 462→\n 463→type ContextKey string\n 464→\n 465→const ContextUserKey ContextKey = \"user\"\n 466→\n 467→func GetUserFromContext(ctx context.Context) *schema.User {\n 468→\tx := ctx.Value(ContextUserKey)\n 469→\tif x == nil {\n 470→\t\tcclog.Warnf(\"no user retrieved from context\")\n 471→\t\treturn nil\n 472→\t}\n 473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 474→\treturn x.(*schema.User)\n 475→}\n 476→\n 477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 478→\tme := GetUserFromContext(ctx)\n 479→\tif me != nil && me.Username != username &&\n 480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 481→\t\treturn nil, errors.New(\"forbidden\")\n 482→\t}\n 483→\n 484→\tuser := &model.User{Username: username}\n 485→\tvar name, email sql.NullString\n 486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 488→\t\tif err == sql.ErrNoRows {\n 489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 492→\t\t\treturn nil, nil\n 493→\t\t}\n 494→\n 495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 496→\t\treturn nil, err\n 497→\t}\n 498→\n 499→\tuser.Name = name.String\n 500→\tuser.Email = email.String\n 501→\treturn user, nil\n 502→}\n 503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","timestamp":"2026-03-16T10:12:42.708Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","toolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","timestamp":"2026-03-16T10:12:42.716Z","uuid":"5244ba36-70c4-4a68-9b01-d3cd9e9c9030","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package auth\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"net\"\n 11→\t\"net/http\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\t\"time\"\n 15→\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 19→\t\"github.com/go-ldap/ldap/v3\"\n 20→)\n 21→\n 22→type LdapConfig struct {\n 23→\tURL string `json:\"url\"`\n 24→\tUserBase string `json:\"user-base\"`\n 25→\tSearchDN string `json:\"search-dn\"`\n 26→\tUserBind string `json:\"user-bind\"`\n 27→\tUserFilter string `json:\"user-filter\"`\n 28→\tUserAttr string `json:\"username-attr\"`\n 29→\tUIDAttr string `json:\"uid-attr\"`\n 30→\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n 31→\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n 32→\n 33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n 34→\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n 35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n 36→}\n 37→\n 38→type LdapAuthenticator struct {\n 39→\tsyncPassword string\n 40→\tUserAttr string\n 41→\tUIDAttr string\n 42→}\n 43→\n 44→var _ Authenticator = (*LdapAuthenticator)(nil)\n 45→\n 46→func (la *LdapAuthenticator) Init() error {\n 47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n 48→\tif la.syncPassword == \"\" {\n 49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n 50→\t}\n 51→\n 52→\tif Keys.LdapConfig.UserAttr != \"\" {\n 53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n 54→\t} else {\n 55→\t\tla.UserAttr = \"gecos\"\n 56→\t}\n 57→\n 58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n 59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n 60→\t} else {\n 61→\t\tla.UIDAttr = \"uid\"\n 62→\t}\n 63→\n 64→\treturn nil\n 65→}\n 66→\n 67→func (la *LdapAuthenticator) CanLogin(\n 68→\tuser *schema.User,\n 69→\tusername string,\n 70→\trw http.ResponseWriter,\n 71→\tr *http.Request,\n 72→) (*schema.User, bool) {\n 73→\tlc := Keys.LdapConfig\n 74→\n 75→\tif user != nil {\n 76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n 77→\t\t\treturn user, true\n 78→\t\t}\n 79→\t} else if lc.SyncUserOnLogin {\n 80→\t\tl, err := la.getLdapConnection(true)\n 81→\t\tif err != nil {\n 82→\t\t\tcclog.Error(\"LDAP connection error\")\n 83→\t\t\treturn nil, false\n 84→\t\t}\n 85→\t\tdefer l.Close()\n 86→\n 87→\t\t// Search for the given username\n 88→\t\tsearchRequest := ldap.NewSearchRequest(\n 89→\t\t\tlc.UserBase,\n 90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n 91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n 92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n 93→\n 94→\t\tsr, err := l.Search(searchRequest)\n 95→\t\tif err != nil {\n 96→\t\t\tcclog.Warn(err)\n 97→\t\t\treturn nil, false\n 98→\t\t}\n 99→\n 100→\t\tif len(sr.Entries) != 1 {\n 101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n 102→\t\t\treturn nil, false\n 103→\t\t}\n 104→\n 105→\t\tentry := sr.Entries[0]\n 106→\t\tuser = &schema.User{\n 107→\t\t\tUsername: username,\n 108→\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n 109→\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n 110→\t\t\tProjects: make([]string, 0),\n 111→\t\t\tAuthType: schema.AuthSession,\n 112→\t\t\tAuthSource: schema.AuthViaLDAP,\n 113→\t\t}\n 114→\n 115→\t\thandleLdapUser(user)\n 116→\t\treturn user, true\n 117→\t}\n 118→\n 119→\treturn nil, false\n 120→}\n 121→\n 122→func (la *LdapAuthenticator) Login(\n 123→\tuser *schema.User,\n 124→\trw http.ResponseWriter,\n 125→\tr *http.Request,\n 126→) (*schema.User, error) {\n 127→\tl, err := la.getLdapConnection(false)\n 128→\tif err != nil {\n 129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n 130→\t\treturn nil, err\n 131→\t}\n 132→\tdefer l.Close()\n 133→\n 134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n 135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n 136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n 137→\t\t\tuser.Username, err)\n 138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n 139→\t}\n 140→\n 141→\treturn user, nil\n 142→}\n 143→\n 144→func (la *LdapAuthenticator) Sync() error {\n 145→\tconst InDB int = 1\n 146→\tconst InLdap int = 2\n 147→\tconst InBoth int = 3\n 148→\tur := repository.GetUserRepository()\n 149→\tlc := Keys.LdapConfig\n 150→\n 151→\tusers := map[string]int{}\n 152→\tusernames, err := ur.GetLdapUsernames()\n 153→\tif err != nil {\n 154→\t\treturn err\n 155→\t}\n 156→\n 157→\tfor _, username := range usernames {\n 158→\t\tusers[username] = InDB\n 159→\t}\n 160→\n 161→\tl, err := la.getLdapConnection(true)\n 162→\tif err != nil {\n 163→\t\tcclog.Error(\"LDAP connection error\")\n 164→\t\treturn err\n 165→\t}\n 166→\tdefer l.Close()\n 167→\n 168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n 169→\t\tlc.UserBase,\n 170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n 171→\t\tlc.UserFilter,\n 172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"LDAP search error\")\n 175→\t\treturn err\n 176→\t}\n 177→\n 178→\tnewnames := map[string]string{}\n 179→\tfor _, entry := range ldapResults.Entries {\n 180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n 181→\t\tif username == \"\" {\n 182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n 183→\t\t}\n 184→\n 185→\t\t_, ok := users[username]\n 186→\t\tif !ok {\n 187→\t\t\tusers[username] = InLdap\n 188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n 189→\t\t} else {\n 190→\t\t\tusers[username] = InBoth\n 191→\t\t}\n 192→\t}\n 193→\n 194→\tfor username, where := range users {\n 195→\t\tif where == InDB && lc.SyncDelOldUsers {\n 196→\t\t\tif err := ur.DelUser(username); err != nil {\n 197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n 198→\t\t\t\treturn err\n 199→\t\t\t}\n 200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n 201→\t\t} else if where == InLdap {\n 202→\t\t\tname := newnames[username]\n 203→\n 204→\t\t\tuser := &schema.User{\n 205→\t\t\t\tUsername: username,\n 206→\t\t\t\tName: name,\n 207→\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n 208→\t\t\t\tProjects: make([]string, 0),\n 209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n 210→\t\t\t}\n 211→\n 212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n 213→\t\t\tif err := ur.AddUser(user); err != nil {\n 214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n 215→\t\t\t\treturn err\n 216→\t\t\t}\n 217→\t\t}\n 218→\t}\n 219→\n 220→\treturn nil\n 221→}\n 222→\n 223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n 224→\tlc := Keys.LdapConfig\n 225→\tconn, err := ldap.DialURL(lc.URL,\n 226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n 227→\tif err != nil {\n 228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n 229→\t\treturn nil, err\n 230→\t}\n 231→\tconn.SetTimeout(30 * time.Second)\n 232→\n 233→\tif admin {\n 234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n 235→\t\t\tconn.Close()\n 236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n 237→\t\t\treturn nil, err\n 238→\t\t}\n 239→\t}\n 240→\n 241→\treturn conn, nil\n 242→}\n 243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL string `json:\"url\"`\n\tUserBase string `json:\"user-base\"`\n\tSearchDN string `json:\"search-dn\"`\n\tUserBind string `json:\"user-bind\"`\n\tUserFilter string `json:\"user-filter\"`\n\tUserAttr string `json:\"username-attr\"`\n\tUIDAttr string `json:\"uid-attr\"`\n\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr string\n\tUIDAttr string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername: username,\n\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects: make([]string, 0),\n\t\t\tAuthType: schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername: username,\n\t\t\t\tName: name,\n\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects: make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"output_tokens":612,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5523,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"e001baa9-61e4-45ac-b202-53caad8b525f","timestamp":"2026-03-16T10:12:42.897Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","toolUseID":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","timestamp":"2026-03-16T10:12:42.900Z","uuid":"45bfe7b4-262d-4568-9253-43644d5ae91f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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Let me implement all 5 fixes now.\n\n**Fix 1: busy_timeout** — config + connection + sqlite archive"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":46892,"cache_read_input_tokens":19821,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46892},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adsCPYAT9vZGRkhxpp","type":"assistant","uuid":"c2f29743-2fdd-492f-848b-696b290d9004","timestamp":"2026-03-16T10:12:50.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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duration before returning SQLITE_BUSY.\n\t// Default: 60000 (60 seconds)\n\tBusyTimeoutMs int\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. 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configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":[" // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive."," // Default: 16384 (16GB)"," DbSoftHeapLimitMB int","+","+ // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+ // When a write is blocked by another writer, SQLite retries internally","+ // using a backoff mechanism for up to this 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":[" connectionURLParams := make(url.Values)"," connectionURLParams.Add(\"_txlock\", \"immediate\")"," connectionURLParams.Add(\"_journal_mode\", \"WAL\")","- connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+ connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))"," connectionURLParams.Add(\"_synchronous\", \"NORMAL\")"," cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB"," connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4b0b2cf9-5197-4b79-9069-77d8684092c6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013VAzs3usxwd9iqdNSds5yz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","old_string":"\t\t\"PRAGMA busy_timeout=5000\",","new_string":"\t\t\"PRAGMA busy_timeout=60000\","},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":46892,"cache_read_input_tokens":19821,"output_tokens":1012,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":46892,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6adsCPYAT9vZGRkhxpp","type":"assistant","uuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","timestamp":"2026-03-16T10:13:00.499Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","toolUseID":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","timestamp":"2026-03-16T10:13:00.522Z","uuid":"d48763f7-188b-4f21-a369-ed9a3a41d910","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go has been updated successfully."}]},"uuid":"3a22cc93-0b68-43a4-963f-6c4264c043db","timestamp":"2026-03-16T10:13:00.521Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","oldString":"\t\t\"PRAGMA busy_timeout=5000\",","newString":"\t\t\"PRAGMA busy_timeout=60000\",","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb *sql.DB // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n job_id INTEGER NOT NULL,\n cluster TEXT NOT NULL,\n start_time INTEGER NOT NULL,\n meta_json BLOB NOT NULL,\n data_json BLOB,\n data_compressed BOOLEAN DEFAULT 0,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL,\n UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n name TEXT PRIMARY KEY,\n config_json BLOB NOT NULL,\n updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n key TEXT PRIMARY KEY,\n value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs: numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast: dateLast,\n\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob []byte\n\tdataBlob []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":[" \"PRAGMA journal_mode=WAL\","," \"PRAGMA synchronous=NORMAL\","," \"PRAGMA cache_size=-64000\", // 64MB cache","- \"PRAGMA busy_timeout=5000\",","+ \"PRAGMA busy_timeout=60000\","," }"," for _, pragma := range pragmas {"," if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3a22cc93-0b68-43a4-963f-6c4264c043db","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 3: LDAP sync race condition** — AddUserIfNotExists + ldap.go change"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","timestamp":"2026-03-16T10:13:04.234Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error 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successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":[" return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+ rolesJson, _ := json.Marshal(user.Roles)","+ projectsJson, _ := json.Marshal(user.Projects)","+","+ cols := \"username, name, roles, projects, ldap\"","+ _, err := r.DB.Exec(","+ `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+ user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+ return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"," // user contains updated info -> Apply to dbUser"," // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","old_string":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","new_string":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUserIfNotExists(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"output_tokens":670,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1320,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","timestamp":"2026-03-16T10:13:11.900Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","toolUseID":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","timestamp":"2026-03-16T10:13:11.919Z","uuid":"a8dd1f80-ed87-4690-9f9f-3cf8805f1647","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go has been updated successfully."}]},"uuid":"60b9808e-1da2-4813-8bfa-104d2aefc0d1","timestamp":"2026-03-16T10:13:11.919Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","oldString":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","newString":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUserIfNotExists(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL string `json:\"url\"`\n\tUserBase string `json:\"user-base\"`\n\tSearchDN string `json:\"search-dn\"`\n\tUserBind string `json:\"user-bind\"`\n\tUserFilter string `json:\"user-filter\"`\n\tUserAttr string `json:\"username-attr\"`\n\tUIDAttr string `json:\"uid-attr\"`\n\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr string\n\tUIDAttr string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername: username,\n\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects: make([]string, 0),\n\t\t\tAuthType: schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername: username,\n\t\t\t\tName: name,\n\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects: make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":[" }"," "," cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","- if err := ur.AddUser(user); err != nil {","+ if err := ur.AddUserIfNotExists(user); err != nil {"," cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)"," return err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"60b9808e-1da2-4813-8bfa-104d2aefc0d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GoH4v9tzVorrW7exUcgDbe","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 2: Batch node state updates** — add `BatchUpdateNodeStates` + update callers"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":68033,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":933},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ag1CuFAMnWQaJ4zzzt","type":"assistant","uuid":"f50efabf-a34d-4969-93fa-de94d4f3a97a","timestamp":"2026-03-16T10:13:14.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"7956bad8-245f-4be0-b117-98737a7e1662","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"f50efabf-a34d-4969-93fa-de94d4f3a97a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GoH4v9tzVorrW7exUcgDbe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","old_string":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","new_string":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname string\n\tCluster string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":68033,"output_tokens":1045,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":933,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ag1CuFAMnWQaJ4zzzt","type":"assistant","uuid":"7956bad8-245f-4be0-b117-98737a7e1662","timestamp":"2026-03-16T10:13:26.400Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","toolUseID":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","timestamp":"2026-03-16T10:13:26.419Z","uuid":"2d8929b5-19bf-4fef-bd1f-34081e8b96cb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname string\n\tCluster string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":[" return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+ Hostname string","+ Cluster string","+ NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+ }","+ defer tx.Rollback()","+","+ stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+ }","+ defer stmtLookup.Close()","+","+ stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+ }","+ defer stmtInsertNode.Close()","+","+ stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+ }","+ defer stmtInsertState.Close()","+","+ for _, u := range updates {","+ var id int64","+ if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+ if err == sql.ErrNoRows {","+ subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+ if scErr != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+ continue","+ }","+ node := schema.NodeDB{","+ Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+ }","+ res, insertErr := stmtInsertNode.Exec(&node)","+ if insertErr != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+ continue","+ }","+ id, _ = res.LastInsertId()","+ } else {","+ cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+ continue","+ }","+ }","+","+ u.NodeState.NodeID = id","+ if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+ }","+ }","+","+ if err := tx.Commit(); err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+ }","+ return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016MGS4ZM2fZX8FdvT5MkLmS","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to check if `archive` is already imported in `node.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1199,"cache_read_input_tokens":68966,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1199},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ah5EmkKHLQ3SuPtuuv","type":"assistant","uuid":"2dc573e6-0f52-4dbb-a243-122336ce311b","timestamp":"2026-03-16T10:13:30.569Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2dc573e6-0f52-4dbb-a243-122336ce311b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016MGS4ZM2fZX8FdvT5MkLmS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","name":"Grep","input":{"pattern":"archive","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1199,"cache_read_input_tokens":68966,"output_tokens":131,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1199,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ah5EmkKHLQ3SuPtuuv","type":"assistant","uuid":"d4a250d3-63e4-4469-a128-5090819378e7","timestamp":"2026-03-16T10:13:31.374Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d4a250d3-63e4-4469-a128-5090819378e7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","toolUseID":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","timestamp":"2026-03-16T10:13:31.391Z","uuid":"a8776baf-10f6-49fd-a016-07d66f1fbf57","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d4a250d3-63e4-4469-a128-5090819378e7","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","type":"tool_result","content":"20:\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n215:\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n286:\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n800:\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n803:\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n893:\t\tscNodes := archive.NodeLists[cluster][subCluster]\n896:\t\tsubClusterNodeLists := archive.NodeLists[cluster]"}]},"uuid":"000d7d6d-3f28-4a1b-ae81-513cec9b01a1","timestamp":"2026-03-16T10:13:31.391Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"20:\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n215:\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n286:\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n800:\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n803:\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n893:\t\tscNodes := archive.NodeLists[cluster][subCluster]\n896:\t\tsubClusterNodeLists := archive.NodeLists[cluster]","numLines":7},"sourceToolAssistantUUID":"d4a250d3-63e4-4469-a128-5090819378e7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"000d7d6d-3f28-4a1b-ae81-513cec9b01a1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Pp2PBfaTQuWSZxzaiMn4KG","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `archive` is already imported. Now update the NATS handler to use batch:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":294,"cache_read_input_tokens":70165,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":294},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ahSdt6beXEHrG34Lx4","type":"assistant","uuid":"c0fb6b0f-c717-4515-a759-46325a1832f9","timestamp":"2026-03-16T10:13:34.994Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c0fb6b0f-c717-4515-a759-46325a1832f9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Pp2PBfaTQuWSZxzaiMn4KG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","new_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":294,"cache_read_input_tokens":70165,"output_tokens":763,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":294,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ahSdt6beXEHrG34Lx4","type":"assistant","uuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","timestamp":"2026-03-16T10:13:42.811Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v1","version":1,"backupTime":"2026-03-16T10:13:42.818Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SfYezs5gWfSaJwFBvZwTQm","toolUseID":"toolu_01SfYezs5gWfSaJwFBvZwTQm","timestamp":"2026-03-16T10:13:42.820Z","uuid":"d043d5e5-f6eb-4cc5-84f1-7accd873b53d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":[" repo := repository.GetNodeRepository()"," requestReceived := time.Now().Unix()"," ","+ updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))"," for _, node := range req.Nodes {"," state := determineState(node.States)"," nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":[" HealthState: schema.MonitoringStateFull,"," JobsRunning: node.JobsRunning,"," }","+ updates = append(updates, repository.NodeStateUpdate{","+ Hostname: node.Hostname,","+ Cluster: req.Cluster,","+ NodeState: &nodeState,","+ })","+ }"," ","- if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","- cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","- node.Hostname, req.Cluster, err)","- }","+ if err := repo.BatchUpdateNodeStates(updates); err != nil {","+ cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)"," }"," "," cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"a9780779-40bc-4130-84ef-769ec8d703e9","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v1","version":1,"backupTime":"2026-03-16T10:13:42.818Z"},"internal/api/node.go":{"backupFileName":"b975dfea9894c28c@v1","version":1,"backupTime":"2026-03-16T10:13:53.754Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"a9780779-40bc-4130-84ef-769ec8d703e9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KWgT3DMBg4wm69ijcQDpSf","toolUseID":"toolu_01KWgT3DMBg4wm69ijcQDpSf","timestamp":"2026-03-16T10:13:53.756Z","uuid":"d8dc490d-e4b4-4c04-b626-3679ed6bd652","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9780779-40bc-4130-84ef-769ec8d703e9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go has been updated successfully."}]},"uuid":"a87c3df8-d8de-4a6f-b720-6991ede41740","timestamp":"2026-03-16T10:13:53.756Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","oldString":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","newString":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":[" cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))"," startDB := time.Now()"," ","+ updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))"," for _, node := range req.Nodes {"," state := determineState(node.States)"," healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":[" HealthMetrics: healthMetrics,"," JobsRunning: node.JobsRunning,"," }","+ updates = append(updates, repository.NodeStateUpdate{","+ Hostname: node.Hostname,","+ Cluster: req.Cluster,","+ NodeState: &nodeState,","+ })","+ }"," ","- if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","- cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","- node.Hostname, req.Cluster, err)","- }","+ if err := repo.BatchUpdateNodeStates(updates); err != nil {","+ cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)"," }"," "," cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a87c3df8-d8de-4a6f-b720-6991ede41740","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VMAwybstFLKHc4G31EF56S","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 5: Wrap SyncJobs in a transaction**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":955},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"b3eaea28-2260-4531-b255-b9a6e6914aa4","timestamp":"2026-03-16T10:13:58.372Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b3eaea28-2260-4531-b255-b9a6e6914aa4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VMAwybstFLKHc4G31EF56S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vxd4CHYztaZiWnUyHBZ8pZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","old_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":[" jobs = append(jobs, job)"," }"," ","+ // Transfer cached jobs to main table and clear cache in a single transaction.","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+ return nil, err","+ }","+ defer tx.Rollback()","+"," // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","- _, err = r.DB.Exec(","+ _, err = tx.Exec("," \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")"," if err != nil {"," cclog.Errorf(\"Error while Job sync: %v\", err)"," return nil, err"," }"," ","- _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+ _, err = tx.Exec(\"DELETE FROM job_cache\")"," if err != nil {"," cclog.Errorf(\"Error while Job cache clean: %v\", err)"," return nil, err"," }"," ","+ if err := tx.Commit(); err != nil {","+ cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+ return nil, err","+ }","+"," // Resolve correct job.id from the job table. The IDs read from job_cache"," // are from a different auto-increment sequence and must not be used to"," // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fcc6aa60-5d51-4569-96d6-98061822f963","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BewUjJvbd6HUzjE1jk3W19","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 4: NATS semaphores**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1736,"cache_read_input_tokens":72221,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1736},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6akjfep1TWFw8enp3sh","type":"assistant","uuid":"c0ddf07e-5da4-46a9-82fd-cefe50d6859f","timestamp":"2026-03-16T10:14:19.842Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c0ddf07e-5da4-46a9-82fd-cefe50d6859f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BewUjJvbd6HUzjE1jk3W19","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","new_string":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1736,"cache_read_input_tokens":72221,"output_tokens":463,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1736,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6akjfep1TWFw8enp3sh","type":"assistant","uuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","timestamp":"2026-03-16T10:14:25.639Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014HMVkUZgUEv2F5FVEvG9yC","toolUseID":"toolu_014HMVkUZgUEv2F5FVEvG9yC","timestamp":"2026-03-16T10:14:25.663Z","uuid":"62f8ee7a-51bc-4db5-a068-b7ad5d89796a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":[" // RepositoryMutex protects job creation operations from race conditions"," // when checking for duplicate jobs during startJob calls."," RepositoryMutex sync.Mutex","+ // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+ // when the database is under contention.","+ jobSem chan struct{}","+ // nodeSem limits concurrent NATS node state processing.","+ nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {"," return &NatsAPI{"," JobRepository: repository.GetJobRepository(),","+ jobSem: make(chan struct{}, 8),","+ nodeSem: make(chan struct{}, 2),"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+ api.jobSem <- struct{}{}","+ defer func() { <-api.jobSem }()","+"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+ api.nodeSem <- struct{}{}","+ defer func() { <-api.nodeSem }()","+"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CgY2oc22d2vjfwDVzGB6c9","name":"Bash","input":{"command":"go build ./...","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"output_tokens":120,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":353,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"3a9382a3-91d3-40be-808b-39ea30e193f1","timestamp":"2026-03-16T10:14:41.475Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3a9382a3-91d3-40be-808b-39ea30e193f1","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CgY2oc22d2vjfwDVzGB6c9","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"63763e9c-e27e-45bc-b767-44d84c1e8b38","timestamp":"2026-03-16T10:14:48.039Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3a9382a3-91d3-40be-808b-39ea30e193f1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"63763e9c-e27e-45bc-b767-44d84c1e8b38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmhbbndncnszFFK3uYTp3J","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeds. Let me run the relevant tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":119,"cache_read_input_tokens":75302,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":119},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ao6A15Xjxa9UQNEGG6","type":"assistant","uuid":"8f61a61a-d8ec-4313-b567-ed8a0e8307ac","timestamp":"2026-03-16T10:14:51.354Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8f61a61a-d8ec-4313-b567-ed8a0e8307ac","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmhbbndncnszFFK3uYTp3J","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BhWi1H4DJBVHWboGS1x2eX","name":"Bash","input":{"command":"go test ./internal/repository/... ./internal/api/... ./internal/auth/... 2>&1","description":"Run tests for modified packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":119,"cache_read_input_tokens":75302,"output_tokens":145,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":119,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ao6A15Xjxa9UQNEGG6","type":"assistant","uuid":"77d719c1-6757-4d2c-b38f-c672ede8398d","timestamp":"2026-03-16T10:14:52.492Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"77d719c1-6757-4d2c-b38f-c672ede8398d","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BhWi1H4DJBVHWboGS1x2eX","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.110s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.668s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/auth\t0.937s","is_error":false}]},"uuid":"294215b8-42db-44b9-97a9-36eeaafa8948","timestamp":"2026-03-16T10:15:01.716Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.110s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.668s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/auth\t0.937s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"77d719c1-6757-4d2c-b38f-c672ede8398d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"294215b8-42db-44b9-97a9-36eeaafa8948","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012bLfeSzbtpGkqVUqKuL5vW","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of all changes:\n\n**Fix 1 — busy_timeout (contention relief)**\n- `internal/repository/config.go`: Added `BusyTimeoutMs` field (default 60000)\n- `internal/repository/dbConnection.go:73`: Uses configurable `repoConfig.BusyTimeoutMs` instead of hardcoded `5000`\n- `pkg/archive/sqliteBackend.go:105`: Changed hardcoded `busy_timeout` from 5000 to 60000\n\n**Fix 2 — Batch node state updates**\n- `internal/repository/node.go`: Added `NodeStateUpdate` struct and `BatchUpdateNodeStates()` method that runs all lookups+inserts in a single transaction with prepared statements\n- `internal/api/nats.go:348-367`: Builds a slice and calls `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`\n- `internal/api/node.go:119-142`: Same batch approach for the REST path (health checks still run per-node before batching the DB part)\n\n**Fix 3 — LDAP sync race condition**\n- `internal/repository/user.go`: Added `AddUserIfNotExists()` using `INSERT OR IGNORE`\n- `internal/auth/ldap.go:213`: Changed `AddUser` to `AddUserIfNotExists` — sync no longer aborts on concurrent user creation\n\n**Fix 4 — NATS semaphores**\n- `internal/api/nats.go`: Added `jobSem` (cap 8) and `nodeSem` (cap 2) channels to `NatsAPI` struct\n- `handleJobEvent` and `handleNodeState` acquire/release the semaphore, capping concurrent goroutines\n\n**Fix 5 — SyncJobs transaction**\n- `internal/repository/jobCreate.go:72-126`: Wrapped the INSERT...SELECT + DELETE in a single `Beginx()`/`Commit()` transaction, reducing lock acquisitions from 3 to 1"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":215,"cache_read_input_tokens":75421,"output_tokens":487,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":215,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ap6cZS2z6UvF1qWoyk","type":"assistant","uuid":"2c888049-2994-4c80-ba93-dda863b33e3c","timestamp":"2026-03-16T10:15:13.958Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2c888049-2994-4c80-ba93-dda863b33e3c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"603bfe85-3b90-4b76-9fe9-bb56aa491b81","toolUseID":"603bfe85-3b90-4b76-9fe9-bb56aa491b81","timestamp":"2026-03-16T10:15:13.974Z","uuid":"e30bac62-0c03-4836-8c6c-f43dd17b2048","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e30bac62-0c03-4836-8c6c-f43dd17b2048","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code 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+{"type":"file-history-snapshot","messageId":"77246124-c7ed-405a-87de-11b99d5c5171","snapshot":{"messageId":"77246124-c7ed-405a-87de-11b99d5c5171","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v2","version":2,"backupTime":"2026-03-16T10:18:22.751Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/node.go":{"backupFileName":"b975dfea9894c28c@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"},"internal/repository/jobCreate.go":{"backupFileName":"9595742f9f0c7f86@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"}},"timestamp":"2026-03-16T10:18:22.751Z"},"isSnapshotUpdate":false} +{"parentUuid":"b4973f4a-3987-40a0-9784-97ab8f94be4c","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":"Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?"},"uuid":"77246124-c7ed-405a-87de-11b99d5c5171","timestamp":"2026-03-16T10:18:22.003Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"77246124-c7ed-405a-87de-11b99d5c5171","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0131MQBcCFbT9GDPRcBL3v9i","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me first read the existing plan, then explore the codebase for DB write patterns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1882,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1882},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b4vAgZpxURDDbTU5Fb","type":"assistant","uuid":"104be7ce-94df-4266-a0f3-3c2730633047","timestamp":"2026-03-16T10:18:27.328Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"104be7ce-94df-4266-a0f3-3c2730633047","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0131MQBcCFbT9GDPRcBL3v9i","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1882,"cache_read_input_tokens":75636,"output_tokens":93,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1882,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6b4vAgZpxURDDbTU5Fb","type":"assistant","uuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","timestamp":"2026-03-16T10:18:27.566Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VcJqMaKr97nTjqZLiZRmCD","toolUseID":"toolu_01VcJqMaKr97nTjqZLiZRmCD","timestamp":"2026-03-16T10:18:27.588Z","uuid":"3eb635eb-9ae1-42cf-996d-eba4f879e63e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","type":"tool_result","content":" 1→# Fix: SQLite Write Contention Causing OOM Crash\n 2→\n 3→## Context\n 4→\n 5→The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n 6→\n 7→**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n 8→\n 9→The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n 10→\n 11→---\n 12→\n 13→## Fix 1: Increase busy_timeout (contention relief)\n 14→\n 15→**File:** `internal/repository/dbConnection.go:73`\n 16→\n 17→Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n 18→\n 19→**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n 20→\n 21→**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n 22→\n 23→**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n 24→\n 25→With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n 26→\n 27→---\n 28→\n 29→## Fix 2: Batch Node State Updates in a Transaction\n 30→\n 31→Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n 32→\n 33→**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n 34→- Accept a slice of `(hostname, cluster, nodeState)` tuples\n 35→- Begin transaction\n 36→- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n 37→- Commit once\n 38→\n 39→**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n 40→\n 41→**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n 42→\n 43→Keep the existing `UpdateNodeState` method for single-node use cases.\n 44→\n 45→---\n 46→\n 47→## Fix 3: Fix LDAP Sync Race Condition\n 48→\n 49→The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n 50→\n 51→**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n 52→```go\n 53→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n 54→ rolesJson, _ := json.Marshal(user.Roles)\n 55→ projectsJson, _ := json.Marshal(user.Projects)\n 56→ cols := \"username, name, roles, projects, ldap\"\n 57→ _, err := r.DB.Exec(\n 58→ `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n 59→ user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n 60→ return err\n 61→}\n 62→```\n 63→\n 64→**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n 65→\n 66→Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n 67→\n 68→---\n 69→\n 70→## Fix 4: Add Semaphore for NATS Handlers\n 71→\n 72→Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n 73→\n 74→**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n 75→```go\n 76→type NatsAPI struct {\n 77→ JobRepository *repository.JobRepository\n 78→ RepositoryMutex sync.Mutex\n 79→ jobSem chan struct{}\n 80→ nodeSem chan struct{}\n 81→}\n 82→```\n 83→\n 84→Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n 85→\n 86→Add acquire/release in `handleJobEvent` and `handleNodeState`:\n 87→```go\n 88→api.jobSem <- struct{}{}\n 89→defer func() { <-api.jobSem }()\n 90→```\n 91→\n 92→This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n 93→\n 94→---\n 95→\n 96→## Fix 5: Wrap SyncJobs in a Transaction\n 97→\n 98→**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n 99→\n 100→Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n 101→- `tx, err := r.DB.Beginx()`\n 102→- Run all three operations on `tx`\n 103→- `tx.Commit()`\n 104→- Do the read-only ID resolution outside the transaction\n 105→\n 106→This reduces lock acquisitions from 3 to 1 and ensures atomicity.\n 107→\n 108→---\n 109→\n 110→## Implementation Order\n 111→\n 112→1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n 113→2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n 114→3. **Fix 2** (batch node states) — biggest contention reduction\n 115→4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n 116→5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n 117→\n 118→---\n 119→\n 120→## Verification\n 121→\n 122→1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n 123→2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n 124→3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n 125→4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n 126→5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n 127→"}]},"uuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","timestamp":"2026-03-16T10:18:27.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","numLines":127,"startLine":1,"totalLines":127}},"sourceToolAssistantUUID":"2c1eddf0-1f39-4852-85ff-a09935d22a02","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EqADCkYICxgCKkAzjtd3wgA1BRv6Cmp0+T1yWAmm1ZpmKU3bXS4Hry3xzGrTsCuW+/sRdDslE1CcwJuOavTcs7Tt7FE8/k/6pLnNEgwx+hSApL/EwHCBNHUaDGGt6FhiCJuRTRG0RyIwjS9esqlOvz9GAMvfT67A4Iso9KPbYC6rfkiPUcGME7hZrZqPDG0+2y/85DZeUmzIKocC5C2E5R5ECCVBeKQ0vOSR5OHeNmpA7i6k2Lc5zXfHHQnOsD4AAdfvLIdQX8+RtVp3ypXdTin6R81J1RoX/QJgKHk17r2Ysd1jr5nbCFJzuv0F9wAXwS3JWus4iw3a8Vr2WbgyHJL6mVEsnUDskU/0P4CqYQOwDhTIqrY5aRYiUnhGN8u8aVJZq4RgGYOyh2C5wb/oqFEr1oLF4eFQHelhgmGkxnbqLFctuvLiHOUPngLVX/O7KlcEF6r0667+8m7SiXqCa8Yejif0DPqz6CeT1NswUhQqEwHoCqmjEuOX9Lez8ljssEDOsGXkzlBr8gEtruMAoQHVEx/lKrkDdxuav1JDcSOhvmgYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"f06c2070-4072-4541-8c90-0583c1efc122","timestamp":"2026-03-16T10:18:32.304Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f06c2070-4072-4541-8c90-0583c1efc122","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"text","text":"The previous plan (Fixes 1-5) has already been implemented. Now the user wants to find *additional* opportunities. Let me explore the codebase for remaining write-heavy DB patterns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"ee8e6a82-29e1-426a-b2a8-232e862bf57f","timestamp":"2026-03-16T10:18:33.211Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ee8e6a82-29e1-426a-b2a8-232e862bf57f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","name":"Agent","input":{"description":"Find DB write patterns","subagent_type":"Explore","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","timestamp":"2026-03-16T10:18:39.594Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"61b4ccfb-6c51-479c-8748-682e80cd64d0","timestamp":"2026-03-16T10:18:39.596Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"61b4ccfb-6c51-479c-8748-682e80cd64d0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files."}]},"uuid":"1bca6258-5523-4520-970c-e78b0e3bfa4a","timestamp":"2026-03-16T10:18:39.970Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"311ccf6c-9310-4011-90e7-d7fe87f941f8","timestamp":"2026-03-16T10:18:39.970Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","timestamp":"2026-03-16T10:18:43.782Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"bb9862cd-2355-4f7b-933a-7ba602850724","timestamp":"2026-03-16T10:18:43.783Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"bb9862cd-2355-4f7b-933a-7ba602850724","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:43.888Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"87486c3d-4e8b-4d15-b3ca-e7ceda3d6749"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","timestamp":"2026-03-16T10:18:43.888Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n 96→\ttx, err := r.DB.Beginx()\n 97→\tif err != nil {\n 98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tdefer tx.Rollback()\n 102→\n 103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 104→\t_, err = tx.Exec(\n 105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 106→\tif err != nil {\n 107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n 112→\tif err != nil {\n 113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 114→\t\treturn nil, err\n 115→\t}\n 116→\n 117→\tif err := tx.Commit(); err != nil {\n 118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 123→\t// are from a different auto-increment sequence and must not be used to\n 124→\t// query the job table.\n 125→\tfor _, job := range jobs {\n 126→\t\tvar newID int64\n 127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {\n 158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 159→\t}\n 160→\n 161→\treturn newID, nil\n 162→}\n 163→\n 164→// Start inserts a new job in the table, returning the unique job ID.\n 165→// Statistics are not transfered!\n 166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 168→\tif err != nil {\n 169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 170→\t}\n 171→\n 172→\tjob.RawResources, err = json.Marshal(job.Resources)\n 173→\tif err != nil {\n 174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 175→\t}\n 176→\n 177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 178→\tif err != nil {\n 179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 180→\t}\n 181→\n 182→\treturn r.InsertJob(job)\n 183→}\n 184→\n 185→// StartDirect inserts a new job directly into the job table (not job_cache).\n 186→// Use this when the returned ID will immediately be used for job table\n 187→// operations such as adding tags.\n 188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 190→\tif err != nil {\n 191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 192→\t}\n 193→\n 194→\tjob.RawResources, err = json.Marshal(job.Resources)\n 195→\tif err != nil {\n 196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 197→\t}\n 198→\n 199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 200→\tif err != nil {\n 201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 202→\t}\n 203→\n 204→\treturn r.InsertJobDirect(job)\n 205→}\n 206→\n 207→// Stop updates the job with the database id jobId using the provided arguments.\n 208→func (r *JobRepository) Stop(\n 209→\tjobID int64,\n 210→\tduration int32,\n 211→\tstate schema.JobState,\n 212→\tmonitoringStatus int32,\n 213→) (err error) {\n 214→\t// Invalidate cache entries as job state is changing\n 215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 217→\n 218→\tstmt := sq.Update(\"job\").\n 219→\t\tSet(\"job_state\", state).\n 220→\t\tSet(\"duration\", duration).\n 221→\t\tSet(\"monitoring_status\", monitoringStatus).\n 222→\t\tWhere(\"job.id = ?\", jobID)\n 223→\n 224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 225→\treturn err\n 226→}\n 227→"}]},"uuid":"5d8ee9d6-b030-4c74-833d-49b9a7ebd9c3","timestamp":"2026-03-16T10:18:43.890Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38b7eecb-8634-4eb0-a187-2d048452460b","timestamp":"2026-03-16T10:18:43.890Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"38b7eecb-8634-4eb0-a187-2d048452460b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EKYTiA5S5dj987gevScvTS","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/toolu_01EKYTiA5S5dj987gevScvTS.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"2d340f9e-3460-4d05-a652-9b2aa3482e6a","timestamp":"2026-03-16T10:18:44.008Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"73dc0e40-cc6c-499a-a987-9e066c064607","timestamp":"2026-03-16T10:18:44.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"73dc0e40-cc6c-499a-a987-9e066c064607","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.098Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4EbLUUdwazYptjDjNVKDR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"08205c4a-738a-47a7-bf53-d42e8e04d164"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","timestamp":"2026-03-16T10:18:44.098Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4EbLUUdwazYptjDjNVKDR","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\tdefer rows.Close()\n 106→\n 107→\tfor rows.Next() {\n 108→\t\tvar username string\n 109→\t\tif err := rows.Scan(&username); err != nil {\n 110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 111→\t\t\treturn nil, err\n 112→\t\t}\n 113→\n 114→\t\tusers = append(users, username)\n 115→\t}\n 116→\n 117→\treturn users, nil\n 118→}\n 119→\n 120→// AddUser creates a new user in the database.\n 121→// Passwords are automatically hashed with bcrypt before storage.\n 122→// Auth source determines authentication method (local, LDAP, etc.).\n 123→//\n 124→// Required fields: Username, Roles\n 125→// Optional fields: Name, Email, Password, Projects, AuthSource\n 126→func (r *UserRepository) AddUser(user *schema.User) error {\n 127→\trolesJson, _ := json.Marshal(user.Roles)\n 128→\tprojectsJson, _ := json.Marshal(user.Projects)\n 129→\n 130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 132→\n 133→\tif user.Name != \"\" {\n 134→\t\tcols = append(cols, \"name\")\n 135→\t\tvals = append(vals, user.Name)\n 136→\t}\n 137→\tif user.Email != \"\" {\n 138→\t\tcols = append(cols, \"email\")\n 139→\t\tvals = append(vals, user.Email)\n 140→\t}\n 141→\tif user.Password != \"\" {\n 142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 143→\t\tif err != nil {\n 144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 145→\t\t\treturn err\n 146→\t\t}\n 147→\t\tcols = append(cols, \"password\")\n 148→\t\tvals = append(vals, string(password))\n 149→\t}\n 150→\tif user.AuthSource != -1 {\n 151→\t\tcols = append(cols, \"ldap\")\n 152→\t\tvals = append(vals, int(user.AuthSource))\n 153→\t}\n 154→\n 155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 157→\t\treturn err\n 158→\t}\n 159→\n 160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 161→\n 162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 164→\tif err != nil {\n 165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 166→\t} else if defaultMetricsCfg != nil {\n 167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 170→\t\t\tif err != nil {\n 171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 172→\t\t\t\tcontinue\n 173→\t\t\t}\n 174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 176→\t\t\tif _, err := sq.Insert(\"configuration\").\n 177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 181→\t\t\t} else {\n 182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 183→\t\t\t}\n 184→\t\t}\n 185→\t}\n 186→\t// END DEPRECATION\n 187→\n 188→\treturn nil\n 189→}\n 190→\n 191→// AddUserIfNotExists inserts a user only if the username does not already exist.\n 192→// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n 193→// concurrently created (e.g., by a login while LDAP sync is running).\n 194→// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\n 195→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n 196→\trolesJson, _ := json.Marshal(user.Roles)\n 197→\tprojectsJson, _ := json.Marshal(user.Projects)\n 198→\n 199→\tcols := \"username, name, roles, projects, ldap\"\n 200→\t_, err := r.DB.Exec(\n 201→\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n 202→\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n 203→\treturn err\n 204→}\n 205→\n 206→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 207→\t// user contains updated info -> Apply to dbUser\n 208→\t// --- Simple Name Update ---\n 209→\tif dbUser.Name != user.Name {\n 210→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 211→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 212→\t\t\treturn err\n 213→\t\t}\n 214→\t}\n 215→\n 216→\t// --- Def Helpers ---\n 217→\t// Helper to update roles\n 218→\tupdateRoles := func(roles []string) error {\n 219→\t\trolesJSON, _ := json.Marshal(roles)\n 220→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 221→\t\treturn err\n 222→\t}\n 223→\n 224→\t// Helper to update projects\n 225→\tupdateProjects := func(projects []string) error {\n 226→\t\tprojectsJSON, _ := json.Marshal(projects)\n 227→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Helper to clear projects\n 232→\tclearProjects := func() error {\n 233→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 234→\t\treturn err\n 235→\t}\n 236→\n 237→\t// --- Manager Role Handling ---\n 238→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 239→\t\t// Existing Manager: update projects\n 240→\t\tif err := updateProjects(user.Projects); err != nil {\n 241→\t\t\treturn err\n 242→\t\t}\n 243→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 244→\t\t// New Manager: update roles and projects\n 245→\t\tif err := updateRoles(user.Roles); err != nil {\n 246→\t\t\treturn err\n 247→\t\t}\n 248→\t\tif err := updateProjects(user.Projects); err != nil {\n 249→\t\t\treturn err\n 250→\t\t}\n 251→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 252→\t\t// Remove Manager: update roles and clear projects\n 253→\t\tif err := updateRoles(user.Roles); err != nil {\n 254→\t\t\treturn err\n 255→\t\t}\n 256→\t\tif err := clearProjects(); err != nil {\n 257→\t\t\treturn err\n 258→\t\t}\n 259→\t}\n 260→\n 261→\t// --- Support Role Handling ---\n 262→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 263→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 264→\t\t// New Support: update roles\n 265→\t\tif err := updateRoles(user.Roles); err != nil {\n 266→\t\t\treturn err\n 267→\t\t}\n 268→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 269→\t\t// Remove Support: update roles\n 270→\t\tif err := updateRoles(user.Roles); err != nil {\n 271→\t\t\treturn err\n 272→\t\t}\n 273→\t}\n 274→\n 275→\treturn nil\n 276→}\n 277→\n 278→func (r *UserRepository) DelUser(username string) error {\n 279→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 280→\tif err != nil {\n 281→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 282→\t\treturn err\n 283→\t}\n 284→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 285→\treturn nil\n 286→}\n 287→\n 288→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 289→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 290→\tif specialsOnly {\n 291→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 292→\t}\n 293→\n 294→\trows, err := q.RunWith(r.DB).Query()\n 295→\tif err != nil {\n 296→\t\tcclog.Warn(\"Error while querying user list\")\n 297→\t\treturn nil, err\n 298→\t}\n 299→\n 300→\tusers := make([]*schema.User, 0)\n 301→\tdefer rows.Close()\n 302→\tfor rows.Next() {\n 303→\t\trawroles := \"\"\n 304→\t\trawprojects := \"\"\n 305→\t\tuser := &schema.User{}\n 306→\t\tvar name, email sql.NullString\n 307→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 308→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 309→\t\t\treturn nil, err\n 310→\t\t}\n 311→\n 312→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 313→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 314→\t\t\treturn nil, err\n 315→\t\t}\n 316→\n 317→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 318→\t\t\treturn nil, err\n 319→\t\t}\n 320→\n 321→\t\tuser.Name = name.String\n 322→\t\tuser.Email = email.String\n 323→\t\tusers = append(users, user)\n 324→\t}\n 325→\treturn users, nil\n 326→}\n 327→\n 328→// AddRole adds a role to a user's role list.\n 329→// Role string is automatically lowercased.\n 330→// Valid roles: admin, support, manager, api, user\n 331→//\n 332→// Returns error if:\n 333→// - User doesn't exist\n 334→// - Role is invalid\n 335→// - User already has the role\n 336→func (r *UserRepository) AddRole(\n 337→\tctx context.Context,\n 338→\tusername string,\n 339→\tqueryrole string,\n 340→) error {\n 341→\tnewRole := strings.ToLower(queryrole)\n 342→\tuser, err := r.GetUser(username)\n 343→\tif err != nil {\n 344→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 345→\t\treturn err\n 346→\t}\n 347→\n 348→\texists, valid := user.HasValidRole(newRole)\n 349→\n 350→\tif !valid {\n 351→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 352→\t}\n 353→\tif exists {\n 354→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 355→\t}\n 356→\n 357→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 358→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 359→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 360→\t\treturn err\n 361→\t}\n 362→\treturn nil\n 363→}\n 364→\n 365→// RemoveRole removes a role from a user's role list.\n 366→//\n 367→// Special rules:\n 368→// - Cannot remove \"manager\" role while user has assigned projects\n 369→// - Must remove all projects first before removing manager role\n 370→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 371→\toldRole := strings.ToLower(queryrole)\n 372→\tuser, err := r.GetUser(username)\n 373→\tif err != nil {\n 374→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 375→\t\treturn err\n 376→\t}\n 377→\n 378→\texists, valid := user.HasValidRole(oldRole)\n 379→\n 380→\tif !valid {\n 381→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 382→\t}\n 383→\tif !exists {\n 384→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 385→\t}\n 386→\n 387→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 388→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 389→\t}\n 390→\n 391→\tvar newroles []string\n 392→\tfor _, r := range user.Roles {\n 393→\t\tif r != oldRole {\n 394→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 395→\t\t}\n 396→\t}\n 397→\n 398→\tmroles, _ := json.Marshal(newroles)\n 399→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 400→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 401→\t\treturn err\n 402→\t}\n 403→\treturn nil\n 404→}\n 405→\n 406→// AddProject assigns a project to a manager user.\n 407→// Only users with the \"manager\" role can have assigned projects.\n 408→//\n 409→// Returns error if:\n 410→// - User doesn't have manager role\n 411→// - User already manages the project\n 412→func (r *UserRepository) AddProject(\n 413→\tctx context.Context,\n 414→\tusername string,\n 415→\tproject string,\n 416→) error {\n 417→\tuser, err := r.GetUser(username)\n 418→\tif err != nil {\n 419→\t\treturn err\n 420→\t}\n 421→\n 422→\tif !user.HasRole(schema.RoleManager) {\n 423→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 424→\t}\n 425→\n 426→\tif user.HasProject(project) {\n 427→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 428→\t}\n 429→\n 430→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 431→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 432→\t\treturn err\n 433→\t}\n 434→\n 435→\treturn nil\n 436→}\n 437→\n 438→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 439→\tuser, err := r.GetUser(username)\n 440→\tif err != nil {\n 441→\t\treturn err\n 442→\t}\n 443→\n 444→\tif !user.HasRole(schema.RoleManager) {\n 445→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 446→\t}\n 447→\n 448→\tif !user.HasProject(project) {\n 449→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 450→\t}\n 451→\n 452→\tvar exists bool\n 453→\tvar newprojects []string\n 454→\tfor _, p := range user.Projects {\n 455→\t\tif p != project {\n 456→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 457→\t\t} else {\n 458→\t\t\texists = true\n 459→\t\t}\n 460→\t}\n 461→\n 462→\tif exists {\n 463→\t\tvar result any\n 464→\t\tif len(newprojects) == 0 {\n 465→\t\t\tresult = \"[]\"\n 466→\t\t} else {\n 467→\t\t\tresult, _ = json.Marshal(newprojects)\n 468→\t\t}\n 469→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 470→\t\t\treturn err\n 471→\t\t}\n 472→\t\treturn nil\n 473→\t} else {\n 474→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 475→\t}\n 476→}\n 477→\n 478→type ContextKey string\n 479→\n 480→const ContextUserKey ContextKey = \"user\"\n 481→\n 482→func GetUserFromContext(ctx context.Context) *schema.User {\n 483→\tx := ctx.Value(ContextUserKey)\n 484→\tif x == nil {\n 485→\t\tcclog.Warnf(\"no user retrieved from context\")\n 486→\t\treturn nil\n 487→\t}\n 488→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 489→\treturn x.(*schema.User)\n 490→}\n 491→\n 492→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 493→\tme := GetUserFromContext(ctx)\n 494→\tif me != nil && me.Username != username &&\n 495→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 496→\t\treturn nil, errors.New(\"forbidden\")\n 497→\t}\n 498→\n 499→\tuser := &model.User{Username: username}\n 500→\tvar name, email sql.NullString\n 501→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 502→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 503→\t\tif err == sql.ErrNoRows {\n 504→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 505→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 506→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 507→\t\t\treturn nil, nil\n 508→\t\t}\n 509→\n 510→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 511→\t\treturn nil, err\n 512→\t}\n 513→\n 514→\tuser.Name = name.String\n 515→\tuser.Email = email.String\n 516→\treturn user, nil\n 517→}\n 518→"}]},"uuid":"acc33023-5fb3-4a2e-bc0a-09f9a5175147","timestamp":"2026-03-16T10:18:44.100Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","timestamp":"2026-03-16T10:18:44.100Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.261Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"f396f17b-5692-4bd6-a242-f34bdc9722b7"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","timestamp":"2026-03-16T10:18:44.261Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"dce1da07-9465-4eba-87c1-bb17e6daa7b0","timestamp":"2026-03-16T10:18:44.263Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","timestamp":"2026-03-16T10:18:44.281Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."}]},"uuid":"666d3bf2-3ccd-4a3d-9642-56e3e610c7c7","timestamp":"2026-03-16T10:18:44.103Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3bb2055e-b1af-44b3-ac27-43a4a74de4ab","timestamp":"2026-03-16T10:18:44.103Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"4b9a979b-4693-43bb-bc90-195eb8540515","timestamp":"2026-03-16T10:18:46.022Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fecdcb82-b91e-4eb6-bd18-1eaf2bfd6507","timestamp":"2026-03-16T10:18:46.225Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a12338c1-6526-4d76-bcec-f1e6375d9a0e","timestamp":"2026-03-16T10:18:46.909Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1b66778f-b7fa-4747-8626-d33fea73b73d","timestamp":"2026-03-16T10:18:47.451Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"66ee3e7a-1bf9-4195-8e01-4bfaca3bdd4c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kq2UVbVdsFHMVNU1tw4F54","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n 248→type NodeStateUpdate struct {\n 249→\tHostname string\n 250→\tCluster string\n 251→\tNodeState *schema.NodeStateDB\n 252→}\n 253→\n 254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n 255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n 256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n 257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n 258→\ttx, err := r.DB.Beginx()\n 259→\tif err != nil {\n 260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n 261→\t}\n 262→\tdefer tx.Rollback()\n 263→\n 264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n 265→\tif err != nil {\n 266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n 267→\t}\n 268→\tdefer stmtLookup.Close()\n 269→\n 270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n 271→\tif err != nil {\n 272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n 273→\t}\n 274→\tdefer stmtInsertNode.Close()\n 275→\n 276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n 277→\tif err != nil {\n 278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n 279→\t}\n 280→\tdefer stmtInsertState.Close()\n 281→\n 282→\tfor _, u := range updates {\n 283→\t\tvar id int64\n 284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n 285→\t\t\tif err == sql.ErrNoRows {\n 286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n 287→\t\t\t\tif scErr != nil {\n 288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n 289→\t\t\t\t\tcontinue\n 290→\t\t\t\t}\n 291→\t\t\t\tnode := schema.NodeDB{\n 292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n 293→\t\t\t\t}\n 294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n 295→\t\t\t\tif insertErr != nil {\n 296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n 297→\t\t\t\t\tcontinue\n 298→\t\t\t\t}\n 299→\t\t\t\tid, _ = res.LastInsertId()\n 300→\t\t\t} else {\n 301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n 302→\t\t\t\tcontinue\n 303→\t\t\t}\n 304→\t\t}\n 305→\n 306→\t\tu.NodeState.NodeID = id\n 307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n 308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n 309→\t\t}\n 310→\t}\n 311→\n 312→\tif err := tx.Commit(); err != nil {\n 313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n 314→\t}\n 315→\treturn nil\n 316→}\n 317→\n 318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 321→// \t\treturn err\n 322→// \t}\n 323→//\n 324→// \treturn nil\n 325→// }\n 326→\n 327→// NodeStateWithNode combines a node state row with denormalized node info.\n 328→type NodeStateWithNode struct {\n 329→\tID int64 `db:\"id\"`\n 330→\tTimeStamp int64 `db:\"time_stamp\"`\n 331→\tNodeState string `db:\"node_state\"`\n 332→\tHealthState string `db:\"health_state\"`\n 333→\tHealthMetrics string `db:\"health_metrics\"`\n 334→\tCpusAllocated int `db:\"cpus_allocated\"`\n 335→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 336→\tGpusAllocated int `db:\"gpus_allocated\"`\n 337→\tJobsRunning int `db:\"jobs_running\"`\n 338→\tHostname string `db:\"hostname\"`\n 339→\tCluster string `db:\"cluster\"`\n 340→\tSubCluster string `db:\"subcluster\"`\n 341→}\n 342→\n 343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 344→// joined with node info for denormalized archiving.\n 345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 346→\trows, err := sq.Select(\n 347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 352→\t).\n 353→\t\tFrom(\"node_state\").\n 354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 358→\t\tRunWith(r.DB).Query()\n 359→\tif err != nil {\n 360→\t\treturn nil, err\n 361→\t}\n 362→\tdefer rows.Close()\n 363→\n 364→\tvar result []NodeStateWithNode\n 365→\tfor rows.Next() {\n 366→\t\tvar ns NodeStateWithNode\n 367→\t\tvar healthMetrics sql.NullString\n 368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 369→\t\t\t&ns.HealthState, &healthMetrics,\n 370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 373→\t\t\treturn nil, err\n 374→\t\t}\n 375→\t\tns.HealthMetrics = healthMetrics.String\n 376→\t\tresult = append(result, ns)\n 377→\t}\n 378→\treturn result, nil\n 379→}\n 380→\n 381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 382→// but always preserves the row with the latest timestamp per node_id.\n 383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 384→\tres, err := r.DB.Exec(\n 385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 386→\t\t AND id NOT IN (\n 387→\t\t SELECT id FROM node_state ns2\n 388→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 389→\t\t )`,\n 390→\t\tcutoff,\n 391→\t)\n 392→\tif err != nil {\n 393→\t\treturn 0, err\n 394→\t}\n 395→\treturn res.RowsAffected()\n 396→}\n 397→\n 398→func (r *NodeRepository) DeleteNode(id int64) error {\n 399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 400→\tif err != nil {\n 401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 402→\t\treturn err\n 403→\t}\n 404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 405→\treturn nil\n 406→}\n 407→\n 408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 409→// on the last state (largest timestamp).\n 410→func (r *NodeRepository) QueryNodes(\n 411→\tctx context.Context,\n 412→\tfilters []*model.NodeFilter,\n 413→\tpage *model.PageRequest,\n 414→\torder *model.OrderByInput, // Currently unused!\n 415→) ([]*schema.Node, error) {\n 416→\tquery, qerr := AccessCheck(ctx,\n 417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 419→\t\t\tFrom(\"node\").\n 420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 421→\t\t\tWhere(latestStateCondition()))\n 422→\tif qerr != nil {\n 423→\t\treturn nil, qerr\n 424→\t}\n 425→\n 426→\tquery = applyNodeFilters(query, filters)\n 427→\tquery = query.OrderBy(\"node.hostname ASC\")\n 428→\n 429→\tif page != nil && page.ItemsPerPage != -1 {\n 430→\t\tlimit := uint64(page.ItemsPerPage)\n 431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 432→\t}\n 433→\n 434→\trows, err := query.RunWith(r.stmtCache).Query()\n 435→\tif err != nil {\n 436→\t\tqueryString, queryVars, _ := query.ToSql()\n 437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 438→\t\treturn nil, err\n 439→\t}\n 440→\tdefer rows.Close()\n 441→\n 442→\tnodes := make([]*schema.Node, 0)\n 443→\tfor rows.Next() {\n 444→\t\tnode := schema.Node{}\n 445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 448→\t\t\treturn nil, err\n 449→\t\t}\n 450→\t\tnodes = append(nodes, &node)\n 451→\t}\n 452→\n 453→\tif err := rows.Err(); err != nil {\n 454→\t\treturn nil, err\n 455→\t}\n 456→\n 457→\treturn nodes, nil\n 458→}\n 459→\n 460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 462→func (r *NodeRepository) QueryNodesWithMeta(\n 463→\tctx context.Context,\n 464→\tfilters []*model.NodeFilter,\n 465→\tpage *model.PageRequest,\n 466→\torder *model.OrderByInput, // Currently unused!\n 467→) ([]*schema.Node, error) {\n 468→\tquery, qerr := AccessCheck(ctx,\n 469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 472→\t\t\tFrom(\"node\").\n 473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 474→\t\t\tWhere(latestStateCondition()))\n 475→\tif qerr != nil {\n 476→\t\treturn nil, qerr\n 477→\t}\n 478→\n 479→\tquery = applyNodeFilters(query, filters)\n 480→\tquery = query.OrderBy(\"node.hostname ASC\")\n 481→\n 482→\tif page != nil && page.ItemsPerPage != -1 {\n 483→\t\tlimit := uint64(page.ItemsPerPage)\n 484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 485→\t}\n 486→\n 487→\trows, err := query.RunWith(r.stmtCache).Query()\n 488→\tif err != nil {\n 489→\t\tqueryString, queryVars, _ := query.ToSql()\n 490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 491→\t\treturn nil, err\n 492→\t}\n 493→\tdefer rows.Close()\n 494→\n 495→\tnodes := make([]*schema.Node, 0)\n 496→\tfor rows.Next() {\n 497→\t\tnode := schema.Node{}\n 498→\t\tRawMetaData := make([]byte, 0)\n 499→\t\tRawMetricHealth := make([]byte, 0)\n 500→\n 501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 504→\t\t\treturn nil, err\n 505→\t\t}\n 506→\n 507→\t\tif len(RawMetaData) == 0 {\n 508→\t\t\tnode.MetaData = nil\n 509→\t\t} else {\n 510→\t\t\tmetaData := make(map[string]string)\n 511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 513→\t\t\t\treturn nil, err\n 514→\t\t\t}\n 515→\t\t\tnode.MetaData = metaData\n 516→\t\t}\n 517→\n 518→\t\tif len(RawMetricHealth) == 0 {\n 519→\t\t\tnode.HealthData = nil\n 520→\t\t} else {\n 521→\t\t\thealthData := make(map[string][]string)\n 522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 524→\t\t\t\treturn nil, err\n 525→\t\t\t}\n 526→\t\t\tnode.HealthData = healthData\n 527→\t\t}\n 528→\n 529→\t\tnodes = append(nodes, &node)\n 530→\t}\n 531→\n 532→\tif err := rows.Err(); err != nil {\n 533→\t\treturn nil, err\n 534→\t}\n 535→\n 536→\treturn nodes, nil\n 537→}\n 538→\n 539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 540→// on the last state (largest timestamp) per node.\n 541→func (r *NodeRepository) CountNodes(\n 542→\tctx context.Context,\n 543→\tfilters []*model.NodeFilter,\n 544→) (int, error) {\n 545→\tquery, qerr := AccessCheck(ctx,\n 546→\t\tsq.Select(\"COUNT(*)\").\n 547→\t\t\tFrom(\"node\").\n 548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 549→\t\t\tWhere(latestStateCondition()))\n 550→\tif qerr != nil {\n 551→\t\treturn 0, qerr\n 552→\t}\n 553→\n 554→\tquery = applyNodeFilters(query, filters)\n 555→\n 556→\tvar count int\n 557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 558→\t\tqueryString, queryVars, _ := query.ToSql()\n 559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 560→\t\treturn 0, err\n 561→\t}\n 562→\n 563→\treturn count, nil\n 564→}\n 565→\n 566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 569→\t\tFrom(\"node\").\n 570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 571→\t\tWhere(latestStateCondition()).\n 572→\t\tWhere(\"node.cluster = ?\", cluster).\n 573→\t\tOrderBy(\"node.hostname ASC\")\n 574→\n 575→\trows, err := q.RunWith(r.DB).Query()\n 576→\tif err != nil {\n 577→\t\tcclog.Warn(\"Error while querying node list\")\n 578→\t\treturn nil, err\n 579→\t}\n 580→\tnodeList := make([]*schema.Node, 0, 100)\n 581→\tdefer rows.Close()\n 582→\tfor rows.Next() {\n 583→\t\tnode := &schema.Node{}\n 584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 587→\t\t\treturn nil, err\n 588→\t\t}\n 589→\n 590→\t\tnodeList = append(nodeList, node)\n 591→\t}\n 592→\n 593→\treturn nodeList, nil\n 594→}\n 595→\n 596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 598→\t\tFrom(\"node\").\n 599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 600→\t\tWhere(latestStateCondition()).\n 601→\t\tWhere(\"node.cluster = ?\", cluster).\n 602→\t\tOrderBy(\"node.hostname ASC\")\n 603→\n 604→\trows, err := q.RunWith(r.DB).Query()\n 605→\tif err != nil {\n 606→\t\tcclog.Warn(\"Error while querying node list\")\n 607→\t\treturn nil, err\n 608→\t}\n 609→\n 610→\tstateMap := make(map[string]string)\n 611→\tdefer rows.Close()\n 612→\tfor rows.Next() {\n 613→\t\tvar hostname, nodestate string\n 614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 616→\t\t\treturn nil, err\n 617→\t\t}\n 618→\n 619→\t\tstateMap[hostname] = nodestate\n 620→\t}\n 621→\n 622→\treturn stateMap, nil\n 623→}\n 624→\n 625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 626→\tquery, qerr := AccessCheck(ctx,\n 627→\t\tsq.Select(column, \"COUNT(*) as count\").\n 628→\t\t\tFrom(\"node\").\n 629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 630→\t\t\tWhere(latestStateCondition()).\n 631→\t\t\tGroupBy(column))\n 632→\tif qerr != nil {\n 633→\t\treturn nil, qerr\n 634→\t}\n 635→\n 636→\tquery = applyNodeFilters(query, filters)\n 637→\n 638→\trows, err := query.RunWith(r.stmtCache).Query()\n 639→\tif err != nil {\n 640→\t\tqueryString, queryVars, _ := query.ToSql()\n 641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 642→\t\treturn nil, err\n 643→\t}\n 644→\tdefer rows.Close()\n 645→\n 646→\tnodes := make([]*model.NodeStates, 0)\n 647→\tfor rows.Next() {\n 648→\t\tvar state string\n 649→\t\tvar count int\n 650→\t\tif err := rows.Scan(&state, &count); err != nil {\n 651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 652→\t\t\treturn nil, err\n 653→\t\t}\n 654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 655→\t}\n 656→\n 657→\tif err := rows.Err(); err != nil {\n 658→\t\treturn nil, err\n 659→\t}\n 660→\n 661→\treturn nodes, nil\n 662→}\n 663→\n 664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 666→\tif qerr != nil {\n 667→\t\treturn nil, qerr\n 668→\t}\n 669→\n 670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 671→\n 672→\tfor _, f := range filters {\n 673→\t\t// Required\n 674→\t\tif f.TimeStart != nil {\n 675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 676→\t\t}\n 677→\t\t// Optional\n 678→\t\tif f.Hostname != nil {\n 679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 680→\t\t}\n 681→\t\tif f.Cluster != nil {\n 682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 683→\t\t}\n 684→\t\tif f.SubCluster != nil {\n 685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 686→\t\t}\n 687→\t\tif f.SchedulerState != nil {\n 688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 689→\t\t}\n 690→\t\tif f.HealthState != nil {\n 691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 692→\t\t}\n 693→\t}\n 694→\n 695→\t// Add Group and Order\n 696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 697→\n 698→\trows, err := query.RunWith(r.stmtCache).Query()\n 699→\tif err != nil {\n 700→\t\tqueryString, queryVars, _ := query.ToSql()\n 701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 702→\t\treturn nil, err\n 703→\t}\n 704→\tdefer rows.Close()\n 705→\n 706→\trawData := make(map[string][][]int)\n 707→\tfor rows.Next() {\n 708→\t\tvar state string\n 709→\t\tvar timestamp, count int\n 710→\n 711→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 713→\t\t\treturn nil, err\n 714→\t\t}\n 715→\n 716→\t\tif rawData[state] == nil {\n 717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 718→\t\t}\n 719→\n 720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 721→\t\trawData[state][1] = append(rawData[state][1], count)\n 722→\t}\n 723→\n 724→\tif err := rows.Err(); err != nil {\n 725→\t\treturn nil, err\n 726→\t}\n 727→\n 728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 729→\tfor state, data := range rawData {\n 730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 731→\t\ttimedStates = append(timedStates, &entry)\n 732→\t}\n 733→\n 734→\treturn timedStates, nil\n 735→}\n 736→\n 737→func (r *NodeRepository) GetNodesForList(\n 738→\tctx context.Context,\n 739→\tcluster string,\n 740→\tsubCluster string,\n 741→\tstateFilter string,\n 742→\tnodeFilter string,\n 743→\tpage *model.PageRequest,\n 744→) ([]string, map[string]string, int, bool, error) {\n 745→\t// Init Return Vars\n 746→\tnodes := make([]string, 0)\n 747→\tstateMap := make(map[string]string)\n 748→\tcountNodes := 0\n 749→\thasNextPage := false\n 750→\n 751→\t// Build Filters\n 752→\tqueryFilters := make([]*model.NodeFilter, 0)\n 753→\tif cluster != \"\" {\n 754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 755→\t}\n 756→\tif subCluster != \"\" {\n 757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 758→\t}\n 759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 761→\t}\n 762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 763→\t\tqueryState := schema.SchedulerState(stateFilter)\n 764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 765→\t}\n 766→\t// if healthFilter != \"all\" {\n 767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 768→\t// }\n 769→\n 770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 771→\tvar backupItems int\n 772→\tif stateFilter == \"notindb\" {\n 773→\t\tbackupItems = page.ItemsPerPage\n 774→\t\tpage.ItemsPerPage = -1\n 775→\t}\n 776→\n 777→\t// Query Nodes From DB\n 778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 779→\tif serr != nil {\n 780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 781→\t\treturn nil, nil, 0, false, serr\n 782→\t}\n 783→\n 784→\t// Intermediate Node Result Info\n 785→\tfor _, node := range rawNodes {\n 786→\t\tif node == nil {\n 787→\t\t\tcontinue\n 788→\t\t}\n 789→\t\tnodes = append(nodes, node.Hostname)\n 790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 791→\t}\n 792→\n 793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 794→\tif stateFilter == \"notindb\" {\n 795→\t\t// Reapply Original Paging\n 796→\t\tpage.ItemsPerPage = backupItems\n 797→\t\t// Get Nodes From Topology\n 798→\t\tvar topoNodes []string\n 799→\t\tif subCluster != \"\" {\n 800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 801→\t\t\ttopoNodes = scNodes.PrintList()\n 802→\t\t} else {\n 803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 806→\t\t\t}\n 807→\t\t}\n 808→\t\t// Compare to all nodes from cluster/subcluster in DB\n 809→\t\tvar missingNodes []string\n 810→\t\tfor _, scanNode := range topoNodes {\n 811→\t\t\tif !slices.Contains(nodes, scanNode) {\n 812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 813→\t\t\t}\n 814→\t\t}\n 815→\t\t// Filter nodes by name\n 816→\t\tif nodeFilter != \"\" {\n 817→\t\t\tfilteredNodesByName := []string{}\n 818→\t\t\tfor _, missingNode := range missingNodes {\n 819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 821→\t\t\t\t}\n 822→\t\t\t}\n 823→\t\t\tmissingNodes = filteredNodesByName\n 824→\t\t}\n 825→\t\t// Sort Missing Nodes Alphanumerically\n 826→\t\tslices.Sort(missingNodes)\n 827→\t\t// Total Missing\n 828→\t\tcountNodes = len(missingNodes)\n 829→\t\t// Apply paging\n 830→\t\tif countNodes > page.ItemsPerPage {\n 831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 832→\t\t\tend := start + page.ItemsPerPage\n 833→\t\t\tif end > countNodes {\n 834→\t\t\t\tend = countNodes\n 835→\t\t\t\thasNextPage = false\n 836→\t\t\t} else {\n 837→\t\t\t\thasNextPage = true\n 838→\t\t\t}\n 839→\t\t\tnodes = missingNodes[start:end]\n 840→\t\t} else {\n 841→\t\t\tnodes = missingNodes\n 842→\t\t}\n 843→\n 844→\t} else {\n 845→\t\t// DB Nodes: Count and derive hasNextPage from count\n 846→\t\tvar cerr error\n 847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 848→\t\tif cerr != nil {\n 849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 850→\t\t\treturn nil, nil, 0, false, cerr\n 851→\t\t}\n 852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 853→\t}\n 854→\n 855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 856→\tif stateFilter == \"all\" && countNodes == 0 {\n 857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 858→\t}\n 859→\n 860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 861→}\n 862→\n 863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 864→\tuser := GetUserFromContext(ctx)\n 865→\treturn AccessCheckWithUser(user, query)\n 866→}\n 867→\n 868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 869→\tif user == nil {\n 870→\t\tvar qnil sq.SelectBuilder\n 871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 872→\t}\n 873→\n 874→\tswitch {\n 875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 876→\t// \treturn query, nil\n 877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 878→\t\treturn query, nil\n 879→\tdefault: // No known Role: No Access, return error\n 880→\t\tvar qnil sq.SelectBuilder\n 881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 882→\t}\n 883→}\n 884→\n 885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 886→\t// 0) Init additional vars\n 887→\thasNextPage := false\n 888→\ttotalNodes := 0\n 889→\n 890→\t// 1) Get list of all nodes\n 891→\tvar topolNodes []string\n 892→\tif subCluster != \"\" {\n 893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 894→\t\ttopolNodes = scNodes.PrintList()\n 895→\t} else {\n 896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 897→\t\tfor _, nodeList := range subClusterNodeLists {\n 898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 899→\t\t}\n 900→\t}\n 901→\n 902→\t// 2) Filter nodes\n 903→\tif nodeFilter != \"\" {\n 904→\t\tfilteredNodes := []string{}\n 905→\t\tfor _, node := range topolNodes {\n 906→\t\t\tif strings.Contains(node, nodeFilter) {\n 907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 908→\t\t\t}\n 909→\t\t}\n 910→\t\ttopolNodes = filteredNodes\n 911→\t}\n 912→\n 913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 914→\ttotalNodes = len(topolNodes)\n 915→\tsort.Strings(topolNodes)\n 916→\n 917→\t// 3) Apply paging\n 918→\tif len(topolNodes) > page.ItemsPerPage {\n 919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 920→\t\tend := start + page.ItemsPerPage\n 921→\t\tif end >= len(topolNodes) {\n 922→\t\t\tend = len(topolNodes)\n 923→\t\t\thasNextPage = false\n 924→\t\t} else {\n 925→\t\t\thasNextPage = true\n 926→\t\t}\n 927→\t\ttopolNodes = topolNodes[start:end]\n 928→\t}\n 929→\n 930→\treturn topolNodes, totalNodes, hasNextPage\n 931→}\n 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+{"parentUuid":"7d12d80c-ddfe-4da1-bf07-ce2fd2aba9ec","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UMxCyReToFRrj3nPfMgWFx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→\t\"golang.org/x/sync/errgroup\"\n 59→)\n 60→\n 61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 64→var groupBy2column = map[model.Aggregate]string{\n 65→\tmodel.AggregateUser: \"job.hpc_user\",\n 66→\tmodel.AggregateProject: \"job.project\",\n 67→\tmodel.AggregateCluster: \"job.cluster\",\n 68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 69→}\n 70→\n 71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 73→// Column names match the AS aliases used in buildStatsQuery.\n 74→var sortBy2column = map[model.SortByAggregate]string{\n 75→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 76→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 77→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 78→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 80→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 82→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 83→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 84→}\n 85→\n 86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 87→//\n 88→// Parameters:\n 89→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 90→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 91→// - col: Column name to GROUP BY; empty string for total count without grouping\n 92→//\n 93→// Returns a SelectBuilder that produces either:\n 94→// - Single count: COUNT(job.id) when col is empty\n 95→// - Grouped counts: col, COUNT(job.id) when col is specified\n 96→//\n 97→// The kind parameter enables counting specific job categories:\n 98→// - \"running\": Only jobs with job_state = 'running'\n 99→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 100→// - empty: All jobs matching filters\n 101→func (r *JobRepository) buildCountQuery(\n 102→\tfilter []*model.JobFilter,\n 103→\tkind string,\n 104→\tcol string,\n 105→) sq.SelectBuilder {\n 106→\tvar query sq.SelectBuilder\n 107→\n 108→\tif col != \"\" {\n 109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 110→\t} else {\n 111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 112→\t}\n 113→\n 114→\tswitch kind {\n 115→\tcase \"running\":\n 116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n 117→\tcase \"short\":\n 118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 119→\t}\n 120→\n 121→\tfor _, f := range filter {\n 122→\t\tquery = BuildWhereClause(f, query)\n 123→\t}\n 124→\n 125→\treturn query\n 126→}\n 127→\n 128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 130→//\n 131→// Parameters:\n 132→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 133→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 134→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 135→// - reqFields: Set of requested field names; nil means compute all fields\n 136→func (r *JobRepository) buildStatsQuery(\n 137→\tfilter []*model.JobFilter,\n 138→\tcol string,\n 139→\tshortThreshold int,\n 140→\treqFields map[string]bool,\n 141→) sq.SelectBuilder {\n 142→\tnow := time.Now().Unix()\n 143→\n 144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 145→\tneed := func(field string) bool {\n 146→\t\treturn reqFields == nil || reqFields[field]\n 147→\t}\n 148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 149→\n 150→\t// Build column list\n 151→\tcolumns := make([]string, 0, 14)\n 152→\n 153→\tif col != \"\" {\n 154→\t\tcolumns = append(columns, col)\n 155→\t}\n 156→\n 157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 158→\n 159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 161→\t} else {\n 162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 163→\t}\n 164→\n 165→\tif need(\"totalWalltime\") {\n 166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 167→\t} else {\n 168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 169→\t}\n 170→\n 171→\tif need(\"totalNodes\") {\n 172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 173→\t} else {\n 174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 175→\t}\n 176→\n 177→\tif need(\"totalNodeHours\") {\n 178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 179→\t} else {\n 180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 181→\t}\n 182→\n 183→\tif need(\"totalCores\") {\n 184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 185→\t} else {\n 186→\t\tcolumns = append(columns, \"0 as totalCores\")\n 187→\t}\n 188→\n 189→\tif need(\"totalCoreHours\") {\n 190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 191→\t} else {\n 192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 193→\t}\n 194→\n 195→\tif need(\"totalAccs\") {\n 196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 197→\t} else {\n 198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 199→\t}\n 200→\n 201→\tif need(\"totalAccHours\") {\n 202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 203→\t} else {\n 204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 205→\t}\n 206→\n 207→\tif need(\"runningJobs\") {\n 208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 209→\t} else {\n 210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 211→\t}\n 212→\n 213→\tif need(\"shortJobs\") {\n 214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 215→\t} else {\n 216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 217→\t}\n 218→\n 219→\tquery := sq.Select(columns...).From(\"job\")\n 220→\tif col != \"\" {\n 221→\t\tquery = query.GroupBy(col)\n 222→\t}\n 223→\n 224→\tfor _, f := range filter {\n 225→\t\tquery = BuildWhereClause(f, query)\n 226→\t}\n 227→\n 228→\treturn query\n 229→}\n 230→\n 231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 234→func (r *JobRepository) JobsStatsGrouped(\n 235→\tctx context.Context,\n 236→\tfilter []*model.JobFilter,\n 237→\tpage *model.PageRequest,\n 238→\tsortBy *model.SortByAggregate,\n 239→\tgroupBy *model.Aggregate,\n 240→\treqFields map[string]bool,\n 241→) ([]*model.JobsStatistics, error) {\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\treturn stats, nil\n 329→}\n 330→\n 331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 332→//\n 333→// This method provides a single aggregate view of job metrics, useful for dashboard\n 334→// summaries and overall system utilization reports.\n 335→//\n 336→// Parameters:\n 337→// - ctx: Context for security checks and cancellation\n 338→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 339→//\n 340→// Returns a single-element slice containing aggregate statistics:\n 341→// - totalJobs, totalUsers, totalWalltime\n 342→// - totalNodeHours, totalCoreHours, totalAccHours\n 343→//\n 344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 345→// Security checks are applied via SecurityCheck to respect user access levels.\n 346→func (r *JobRepository) JobsStats(\n 347→\tctx context.Context,\n 348→\tfilter []*model.JobFilter,\n 349→\treqFields map[string]bool,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 388→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 389→\t\t\t})\n 390→\t}\n 391→\n 392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 393→\treturn stats, nil\n 394→}\n 395→\n 396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 397→// Returns 0.0 if the metric is not found or statType is invalid.\n 398→//\n 399→// Parameters:\n 400→// - job: Job struct with populated Statistics field\n 401→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 402→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 403→//\n 404→// Returns the requested statistic value or 0.0 if not found.\n 405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 406→\tif stats, ok := job.Statistics[metric]; ok {\n 407→\t\tswitch statType {\n 408→\t\tcase \"avg\":\n 409→\t\t\treturn stats.Avg\n 410→\t\tcase \"max\":\n 411→\t\t\treturn stats.Max\n 412→\t\tcase \"min\":\n 413→\t\t\treturn stats.Min\n 414→\t\tdefault:\n 415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 416→\t\t}\n 417→\t}\n 418→\n 419→\treturn 0.0\n 420→}\n 421→\n 422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 423→//\n 424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 425→// avoiding the overhead of calculating walltime and resource usage metrics.\n 426→//\n 427→// Parameters:\n 428→// - ctx: Context for security checks\n 429→// - filter: Filters to apply\n 430→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 431→//\n 432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 433→func (r *JobRepository) JobCountGrouped(\n 434→\tctx context.Context,\n 435→\tfilter []*model.JobFilter,\n 436→\tgroupBy *model.Aggregate,\n 437→) ([]*model.JobsStatistics, error) {\n 438→\tstart := time.Now()\n 439→\tcol := groupBy2column[*groupBy]\n 440→\tquery := r.buildCountQuery(filter, \"\", col)\n 441→\tquery, err := SecurityCheck(ctx, query)\n 442→\tif err != nil {\n 443→\t\treturn nil, err\n 444→\t}\n 445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 446→\tif err != nil {\n 447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 448→\t\treturn nil, err\n 449→\t}\n 450→\tdefer rows.Close()\n 451→\n 452→\tstats := make([]*model.JobsStatistics, 0, 100)\n 453→\n 454→\tfor rows.Next() {\n 455→\t\tvar id sql.NullString\n 456→\t\tvar cnt sql.NullInt64\n 457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 459→\t\t\treturn nil, err\n 460→\t\t}\n 461→\t\tif id.Valid {\n 462→\t\t\tstats = append(stats,\n 463→\t\t\t\t&model.JobsStatistics{\n 464→\t\t\t\t\tID: id.String,\n 465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 466→\t\t\t\t})\n 467→\t\t}\n 468→\t}\n 469→\n 470→\tif err := rows.Err(); err != nil {\n 471→\t\treturn nil, err\n 472→\t}\n 473→\n 474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 475→\treturn stats, nil\n 476→}\n 477→\n 478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 479→//\n 480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 482→//\n 483→// Parameters:\n 484→// - ctx: Context for security checks\n 485→// - filter: Filters to apply\n 486→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 487→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 488→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 489→//\n 490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 491→// Groups without matching jobs will have 0 for the added field.\n 492→func (r *JobRepository) AddJobCountGrouped(\n 493→\tctx context.Context,\n 494→\tfilter []*model.JobFilter,\n 495→\tgroupBy *model.Aggregate,\n 496→\tstats []*model.JobsStatistics,\n 497→\tkind string,\n 498→) ([]*model.JobsStatistics, error) {\n 499→\tstart := time.Now()\n 500→\tcol := groupBy2column[*groupBy]\n 501→\tquery := r.buildCountQuery(filter, kind, col)\n 502→\tquery, err := SecurityCheck(ctx, query)\n 503→\tif err != nil {\n 504→\t\treturn nil, err\n 505→\t}\n 506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 507→\tif err != nil {\n 508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 509→\t\treturn nil, err\n 510→\t}\n 511→\tdefer rows.Close()\n 512→\n 513→\tcounts := make(map[string]int)\n 514→\n 515→\tfor rows.Next() {\n 516→\t\tvar id sql.NullString\n 517→\t\tvar cnt sql.NullInt64\n 518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\tif id.Valid {\n 523→\t\t\tcounts[id.String] = int(cnt.Int64)\n 524→\t\t}\n 525→\t}\n 526→\n 527→\tif err := rows.Err(); err != nil {\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tswitch kind {\n 532→\tcase \"running\":\n 533→\t\tfor _, s := range stats {\n 534→\t\t\ts.RunningJobs = counts[s.ID]\n 535→\t\t}\n 536→\tcase \"short\":\n 537→\t\tfor _, s := range stats {\n 538→\t\t\ts.ShortJobs = counts[s.ID]\n 539→\t\t}\n 540→\t}\n 541→\n 542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 543→\treturn stats, nil\n 544→}\n 545→\n 546→// AddJobCount augments existing overall statistics with additional job counts by category.\n 547→//\n 548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 549→// to all statistics entries (typically just one).\n 550→//\n 551→// Parameters:\n 552→// - ctx: Context for security checks\n 553→// - filter: Filters to apply\n 554→// - stats: Existing statistics to augment (modified in-place)\n 555→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 556→//\n 557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 558→func (r *JobRepository) AddJobCount(\n 559→\tctx context.Context,\n 560→\tfilter []*model.JobFilter,\n 561→\tstats []*model.JobsStatistics,\n 562→\tkind string,\n 563→) ([]*model.JobsStatistics, error) {\n 564→\tstart := time.Now()\n 565→\tquery := r.buildCountQuery(filter, kind, \"\")\n 566→\tquery, err := SecurityCheck(ctx, query)\n 567→\tif err != nil {\n 568→\t\treturn nil, err\n 569→\t}\n 570→\tvar cnt sql.NullInt64\n 571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 573→\t\treturn nil, err\n 574→\t}\n 575→\n 576→\tcount := int(cnt.Int64)\n 577→\n 578→\tswitch kind {\n 579→\tcase \"running\":\n 580→\t\tfor _, s := range stats {\n 581→\t\t\ts.RunningJobs = count\n 582→\t\t}\n 583→\tcase \"short\":\n 584→\t\tfor _, s := range stats {\n 585→\t\t\ts.ShortJobs = count\n 586→\t\t}\n 587→\t}\n 588→\n 589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 590→\treturn stats, nil\n 591→}\n 592→\n 593→// AddHistograms augments statistics with distribution histograms for job properties.\n 594→//\n 595→// Generates histogram data for visualization of job duration, node count, core count,\n 596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 597→// on the requested resolution.\n 598→//\n 599→// Parameters:\n 600→// - ctx: Context for security checks\n 601→// - filter: Filters to apply to jobs included in histograms\n 602→// - stat: Statistics struct to augment (modified in-place)\n 603→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 604→//\n 605→// Populates these fields in stat:\n 606→// - HistDuration: Job duration distribution (zero-padded bins)\n 607→// - HistNumNodes: Node count distribution\n 608→// - HistNumCores: Core (hwthread) count distribution\n 609→// - HistNumAccs: Accelerator count distribution\n 610→//\n 611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 613→func (r *JobRepository) AddHistograms(\n 614→\tctx context.Context,\n 615→\tfilter []*model.JobFilter,\n 616→\tstat *model.JobsStatistics,\n 617→\tdurationBins *string,\n 618→) (*model.JobsStatistics, error) {\n 619→\tstart := time.Now()\n 620→\n 621→\tvar targetBinCount int\n 622→\tvar targetBinSize int\n 623→\tswitch *durationBins {\n 624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 625→\t\ttargetBinCount = 60\n 626→\t\ttargetBinSize = 60\n 627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 628→\t\ttargetBinCount = 72\n 629→\t\ttargetBinSize = 600\n 630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 631→\t\ttargetBinCount = 48\n 632→\t\ttargetBinSize = 3600\n 633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 634→\t\ttargetBinCount = 12\n 635→\t\ttargetBinSize = 21600\n 636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 637→\t\ttargetBinCount = 14\n 638→\t\ttargetBinSize = 43200\n 639→\tdefault: // 24h\n 640→\t\ttargetBinCount = 24\n 641→\t\ttargetBinSize = 3600\n 642→\t}\n 643→\n 644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n 645→\tg, gctx := errgroup.WithContext(ctx)\n 646→\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\n 649→\tg.Go(func() error {\n 650→\t\tvar err error\n 651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n 652→\t\tif err != nil {\n 653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 654→\t\t}\n 655→\t\treturn err\n 656→\t})\n 657→\tg.Go(func() error {\n 658→\t\tvar err error\n 659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n 660→\t\tif err != nil {\n 661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 662→\t\t}\n 663→\t\treturn err\n 664→\t})\n 665→\tg.Go(func() error {\n 666→\t\tvar err error\n 667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n 668→\t\tif err != nil {\n 669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 670→\t\t}\n 671→\t\treturn err\n 672→\t})\n 673→\tg.Go(func() error {\n 674→\t\tvar err error\n 675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n 676→\t\tif err != nil {\n 677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 678→\t\t}\n 679→\t\treturn err\n 680→\t})\n 681→\n 682→\tif err := g.Wait(); err != nil {\n 683→\t\treturn nil, err\n 684→\t}\n 685→\n 686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 687→\treturn stat, nil\n 688→}\n 689→\n 690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 691→//\n 692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 694→// use footprint data from database.\n 695→//\n 696→// Parameters:\n 697→// - ctx: Context for security checks\n 698→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 699→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 700→// - stat: Statistics struct to augment (modified in-place)\n 701→// - targetBinCount: Number of histogram bins (default: 10)\n 702→//\n 703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 704→//\n 705→// Binning algorithm:\n 706→// - Values normalized to metric's peak value from cluster configuration\n 707→// - Bins evenly distributed from 0 to peak\n 708→// - Pre-initialized with zeros for consistent visualization\n 709→//\n 710→// Limitations:\n 711→// - Running jobs: Limited to 5000 jobs for performance\n 712→// - Requires valid cluster configuration with metric peak values\n 713→// - Uses footprint statistic (avg/max/min) configured per metric\n 714→func (r *JobRepository) AddMetricHistograms(\n 715→\tctx context.Context,\n 716→\tfilter []*model.JobFilter,\n 717→\tmetrics []string,\n 718→\tstat *model.JobsStatistics,\n 719→\ttargetBinCount *int,\n 720→) (*model.JobsStatistics, error) {\n 721→\tstart := time.Now()\n 722→\n 723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 724→\tfor _, f := range filter {\n 725→\t\tif f.State != nil {\n 726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\t\t\t\treturn stat, nil\n 730→\t\t\t}\n 731→\t\t}\n 732→\t}\n 733→\n 734→\t// All other cases: Query and make bins in sqlite directly\n 735→\tfor _, m := range metrics {\n 736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 737→\t\tif err != nil {\n 738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 739→\t\t\tcontinue\n 740→\t\t}\n 741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 742→\t}\n 743→\n 744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 745→\treturn stat, nil\n 746→}\n 747→\n 748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 749→//\n 750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 752→//\n 753→// Parameters:\n 754→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 755→// - filters: Job filters to apply\n 756→//\n 757→// Returns histogram points with Value (from column) and Count (number of jobs).\n 758→func (r *JobRepository) jobsStatisticsHistogram(\n 759→\tctx context.Context,\n 760→\tvalue string,\n 761→\tfilters []*model.JobFilter,\n 762→) ([]*model.HistoPoint, error) {\n 763→\tstart := time.Now()\n 764→\tquery, qerr := SecurityCheck(ctx,\n 765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 766→\n 767→\tif qerr != nil {\n 768→\t\treturn nil, qerr\n 769→\t}\n 770→\n 771→\tfor _, f := range filters {\n 772→\t\tquery = BuildWhereClause(f, query)\n 773→\t}\n 774→\n 775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 776→\tif err != nil {\n 777→\t\tcclog.Error(\"Error while running query\")\n 778→\t\treturn nil, err\n 779→\t}\n 780→\tdefer rows.Close()\n 781→\n 782→\tpoints := make([]*model.HistoPoint, 0)\n 783→\t// is it possible to introduce zero values here? requires info about bincount\n 784→\tfor rows.Next() {\n 785→\t\tpoint := model.HistoPoint{}\n 786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 788→\t\t\treturn nil, err\n 789→\t\t}\n 790→\n 791→\t\tpoints = append(points, &point)\n 792→\t}\n 793→\n 794→\tif err := rows.Err(); err != nil {\n 795→\t\treturn nil, err\n 796→\t}\n 797→\n 798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 799→\treturn points, nil\n 800→}\n 801→\n 802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 803→//\n 804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 805→// histograms which only return bins with data. The value parameter should compute\n 806→// the bin number from job duration.\n 807→//\n 808→// Parameters:\n 809→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 810→// - filters: Job filters to apply\n 811→// - binSizeSeconds: Width of each bin in seconds\n 812→// - targetBinCount: Number of bins to pre-initialize\n 813→//\n 814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 816→//\n 817→// Algorithm:\n 818→// 1. Pre-initialize targetBinCount bins with zero counts\n 819→// 2. Query database for actual counts per bin\n 820→// 3. Match query results to pre-initialized bins by value\n 821→// 4. Bins without matches remain at zero\n 822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 823→\tctx context.Context,\n 824→\tvalue string,\n 825→\tfilters []*model.JobFilter,\n 826→\tbinSizeSeconds int,\n 827→\ttargetBinCount *int,\n 828→) ([]*model.HistoPoint, error) {\n 829→\tstart := time.Now()\n 830→\tquery, qerr := SecurityCheck(ctx,\n 831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 832→\n 833→\tif qerr != nil {\n 834→\t\treturn nil, qerr\n 835→\t}\n 836→\n 837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 840→\tfor i := 1; i <= *targetBinCount; i++ {\n 841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 842→\t\tpoints = append(points, &point)\n 843→\t}\n 844→\n 845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 846→\tbinMap := make(map[int]int, len(points))\n 847→\tfor i, p := range points {\n 848→\t\tbinMap[p.Value] = i\n 849→\t}\n 850→\n 851→\tfor _, f := range filters {\n 852→\t\tquery = BuildWhereClause(f, query)\n 853→\t}\n 854→\n 855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 856→\tif err != nil {\n 857→\t\tcclog.Error(\"Error while running query\")\n 858→\t\treturn nil, err\n 859→\t}\n 860→\tdefer rows.Close()\n 861→\n 862→\t// Match query results to pre-initialized bins using map lookup.\n 863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 864→\tfor rows.Next() {\n 865→\t\tpoint := model.HistoPoint{}\n 866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 868→\t\t\treturn nil, err\n 869→\t\t}\n 870→\n 871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 872→\t\t\tpoints[idx].Count = point.Count\n 873→\t\t}\n 874→\t}\n 875→\n 876→\tif err := rows.Err(); err != nil {\n 877→\t\treturn nil, err\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 881→\treturn points, nil\n 882→}\n 883→\n 884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 885→//\n 886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 888→// and computing bin assignments in SQL.\n 889→//\n 890→// Parameters:\n 891→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 892→// - filters: Job filters to apply\n 893→// - bins: Number of bins to generate\n 894→//\n 895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 896→//\n 897→// Algorithm:\n 898→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 899→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 900→// 3. Pre-initialize bins with min/max ranges based on peak value\n 901→// 4. Query database for counts per bin\n 902→// 5. Match results to pre-initialized bins\n 903→//\n 904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 905→// peak by 0.999999999 to avoid creating an extra bin.\n 906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 907→\tctx context.Context,\n 908→\tmetric string,\n 909→\tfilters []*model.JobFilter,\n 910→\tbins *int,\n 911→) (*model.MetricHistoPoints, error) {\n 912→\t// Peak value defines the upper bound for binning: values are distributed across\n 913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 914→\t// scan all clusters to find the maximum peak value.\n 915→\tvar metricConfig *schema.MetricConfig\n 916→\tvar peak float64\n 917→\tvar unit string\n 918→\tvar footprintStat string\n 919→\n 920→\t// Try to get metric config from filtered cluster\n 921→\tfor _, f := range filters {\n 922→\t\tif f.Cluster != nil {\n 923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 924→\t\t\tpeak = metricConfig.Peak\n 925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 926→\t\t\tfootprintStat = metricConfig.Footprint\n 927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 932→\t// This ensures histogram can accommodate all possible values\n 933→\tif peak == 0.0 {\n 934→\t\tfor _, c := range archive.Clusters {\n 935→\t\t\tfor _, m := range c.MetricConfig {\n 936→\t\t\t\tif m.Name == metric {\n 937→\t\t\t\t\tif m.Peak > peak {\n 938→\t\t\t\t\t\tpeak = m.Peak\n 939→\t\t\t\t\t}\n 940→\t\t\t\t\tif unit == \"\" {\n 941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 942→\t\t\t\t\t}\n 943→\t\t\t\t\tif footprintStat == \"\" {\n 944→\t\t\t\t\t\tfootprintStat = m.Footprint\n 945→\t\t\t\t\t}\n 946→\t\t\t\t}\n 947→\t\t\t}\n 948→\t\t}\n 949→\t}\n 950→\n 951→\t// Construct SQL histogram bins using normalized values.\n 952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 953→\tstart := time.Now()\n 954→\n 955→\t// Bin calculation formula:\n 956→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 957→\t// Special case: value == peak would create bin N+1, so we test for equality\n 958→\t// and multiply peak by 0.999999999 to force it into bin N.\n 959→\tbinQuery := fmt.Sprintf(`CAST(\n 960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 961→\t\t* %v as INTEGER )`,\n 962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 963→\n 964→\tmainQuery := sq.Select(\n 965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 966→\t\t`count(*) as count`,\n 967→\t).From(\"job\").Where(\n 968→\t\t\"JSON_VALID(footprint)\",\n 969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 970→\n 971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 972→\tif qerr != nil {\n 973→\t\treturn nil, qerr\n 974→\t}\n 975→\n 976→\tfor _, f := range filters {\n 977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 978→\t}\n 979→\n 980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 981→\n 982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 983→\tif err != nil {\n 984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 985→\t\treturn nil, err\n 986→\t}\n 987→\tdefer rows.Close()\n 988→\n 989→\t// Pre-initialize bins with calculated min/max ranges.\n 990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 992→\tbinStep := int(peak) / *bins\n 993→\tfor i := 1; i <= *bins; i++ {\n 994→\t\tbinMin := (binStep * (i - 1))\n 995→\t\tbinMax := (binStep * i)\n 996→\t\tidx := i\n 997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 998→\t\tpoints = append(points, &epoint)\n 999→\t}\n 1000→\n 1001→\t// Build a map from bin number to slice index for O(1) lookup.\n 1002→\tbinMap := make(map[int]int, len(points))\n 1003→\tfor i, p := range points {\n 1004→\t\tif p.Bin != nil {\n 1005→\t\t\tbinMap[*p.Bin] = i\n 1006→\t\t}\n 1007→\t}\n 1008→\n 1009→\t// Match query results to pre-initialized bins using map lookup.\n 1010→\tfor rows.Next() {\n 1011→\t\trpoint := model.MetricHistoPoint{}\n 1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1014→\t\t\treturn nil, err\n 1015→\t\t}\n 1016→\n 1017→\t\tif rpoint.Bin != nil {\n 1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1020→\t\t\t}\n 1021→\t\t}\n 1022→\t}\n 1023→\n 1024→\tif err := rows.Err(); err != nil {\n 1025→\t\treturn nil, err\n 1026→\t}\n 1027→\n 1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1029→\n 1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1031→\treturn &result, nil\n 1032→}\n 1033→\n 1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1035→//\n 1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1037→// fetching current metric averages from the metric backend (via metricdispatch).\n 1038→//\n 1039→// Parameters:\n 1040→// - metrics: List of metric names\n 1041→// - filters: Job filters (should filter to running jobs only)\n 1042→// - bins: Number of histogram bins\n 1043→//\n 1044→// Returns slice of MetricHistoPoints, one per metric.\n 1045→//\n 1046→// Limitations:\n 1047→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1048→// - Requires metric backend availability\n 1049→// - Bins based on metric peak values from cluster configuration\n 1050→//\n 1051→// Algorithm:\n 1052→// 1. Query first 5001 jobs to check count limit\n 1053→// 2. Load metric averages for all jobs via metricdispatch\n 1054→// 3. For each metric, create bins based on peak value\n 1055→// 4. Iterate averages and count jobs per bin\n 1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1057→\tctx context.Context,\n 1058→\tmetrics []string,\n 1059→\tfilters []*model.JobFilter,\n 1060→\tbins *int,\n 1061→) []*model.MetricHistoPoints {\n 1062→\t// Get Jobs\n 1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1064→\tif err != nil {\n 1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1066→\t\treturn nil\n 1067→\t}\n 1068→\tif len(jobs) > 5000 {\n 1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1070→\t\treturn nil\n 1071→\t}\n 1072→\n 1073→\t// Get AVGs from metric repo\n 1074→\tavgs := make([][]schema.Float, len(metrics))\n 1075→\tfor i := range avgs {\n 1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1077→\t}\n 1078→\n 1079→\tfor _, job := range jobs {\n 1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1081→\t\t\tcontinue\n 1082→\t\t}\n 1083→\n 1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1086→\t\t\treturn nil\n 1087→\t\t}\n 1088→\t}\n 1089→\n 1090→\t// Iterate metrics to fill endresult\n 1091→\tdata := make([]*model.MetricHistoPoints, 0)\n 1092→\tfor idx, metric := range metrics {\n 1093→\t\t// Get specific Peak or largest Peak\n 1094→\t\tvar metricConfig *schema.MetricConfig\n 1095→\t\tvar peak float64\n 1096→\t\tvar unit string\n 1097→\n 1098→\t\tfor _, f := range filters {\n 1099→\t\t\tif f.Cluster != nil {\n 1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1101→\t\t\t\tpeak = metricConfig.Peak\n 1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1103→\t\t\t}\n 1104→\t\t}\n 1105→\n 1106→\t\tif peak == 0.0 {\n 1107→\t\t\tfor _, c := range archive.Clusters {\n 1108→\t\t\t\tfor _, m := range c.MetricConfig {\n 1109→\t\t\t\t\tif m.Name == metric {\n 1110→\t\t\t\t\t\tif m.Peak > peak {\n 1111→\t\t\t\t\t\t\tpeak = m.Peak\n 1112→\t\t\t\t\t\t}\n 1113→\t\t\t\t\t\tif unit == \"\" {\n 1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1115→\t\t\t\t\t\t}\n 1116→\t\t\t\t\t}\n 1117→\t\t\t\t}\n 1118→\t\t\t}\n 1119→\t\t}\n 1120→\n 1121→\t\t// Make and fill bins\n 1122→\t\tpeakBin := int(peak) / *bins\n 1123→\n 1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1125→\t\tfor b := 0; b < *bins; b++ {\n 1126→\t\t\tcount := 0\n 1127→\t\t\tbindex := b + 1\n 1128→\t\t\tbmin := peakBin * b\n 1129→\t\t\tbmax := peakBin * (b + 1)\n 1130→\n 1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1132→\t\t\tfor _, val := range avgs[idx] {\n 1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1134→\t\t\t\t\tcount += 1\n 1135→\t\t\t\t}\n 1136→\t\t\t}\n 1137→\n 1138→\t\t\t// Append Bin to Metric Result Array\n 1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1140→\t\t\tpoints = append(points, &point)\n 1141→\t\t}\n 1142→\n 1143→\t\t// Append Metric Result Array to final results array\n 1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1145→\t\tdata = append(data, &result)\n 1146→\t}\n 1147→\n 1148→\treturn data\n 1149→}\n 1150→"}]},"uuid":"1b08c0d7-88e3-46bf-b4e5-d3e9eefe380b","timestamp":"2026-03-16T10:18:49.571Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:49.616Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MsWPut4e1zdNwUqThdWiMB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":836,"cache_read_input_tokens":41625,"cache_creation":{"ephemeral_5m_input_tokens":836,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6m24hhGQfoDwA1QQ6","uuid":"ce2b1ee1-e118-4aea-8fff-048c79ce5c13"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"encoding/json\"\n 9→\t\"maps\"\n 10→\t\"sync\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/jmoiron/sqlx\"\n 19→)\n 20→\n 21→var (\n 22→\tuserCfgRepoOnce sync.Once\n 23→\tuserCfgRepoInstance *UserCfgRepo\n 24→)\n 25→\n 26→type UserCfgRepo struct {\n 27→\tDB *sqlx.DB\n 28→\tLookup *sqlx.Stmt\n 29→\tuiDefaults map[string]any\n 30→\tcache *lrucache.Cache\n 31→\tlock sync.RWMutex\n 32→}\n 33→\n 34→func GetUserCfgRepo() *UserCfgRepo {\n 35→\tuserCfgRepoOnce.Do(func() {\n 36→\t\tdb := GetConnection()\n 37→\n 38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n 39→\t\tif err != nil {\n 40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n 41→\t\t}\n 42→\n 43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n 44→\t\t\tDB: db.DB,\n 45→\t\t\tLookup: lookupConfigStmt,\n 46→\t\t\tuiDefaults: web.UIDefaultsMap,\n 47→\t\t\tcache: lrucache.New(1024),\n 48→\t\t}\n 49→\t})\n 50→\n 51→\treturn userCfgRepoInstance\n 52→}\n 53→\n 54→// Return the personalised UI config for the currently authenticated\n 55→// user or return the plain default config.\n 56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n 57→\tif user == nil {\n 58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n 59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n 60→\t\treturn copy, nil\n 61→\t}\n 62→\n 63→\t// Is the cache invalidated in case the options are changed?\n 64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n 65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n 66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n 67→\n 68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n 69→\t\tif err != nil {\n 70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n 71→\t\t\treturn err, 0, 0\n 72→\t\t}\n 73→\n 74→\t\tsize := 0\n 75→\t\tdefer rows.Close()\n 76→\t\tfor rows.Next() {\n 77→\t\t\tvar key, rawval string\n 78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n 79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n 80→\t\t\t\treturn err, 0, 0\n 81→\t\t\t}\n 82→\n 83→\t\t\tvar val any\n 84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n 85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n 86→\t\t\t\treturn err, 0, 0\n 87→\t\t\t}\n 88→\n 89→\t\t\tsize += len(key)\n 90→\t\t\tsize += len(rawval)\n 91→\t\t\tuiconfig[key] = val\n 92→\t\t}\n 93→\n 94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n 95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n 96→\n 97→\t\treturn uiconfig, 24 * time.Hour, size\n 98→\t})\n 99→\tif err, ok := data.(error); ok {\n 100→\t\tcclog.Error(\"Error in returned dataset\")\n 101→\t\treturn nil, err\n 102→\t}\n 103→\n 104→\treturn data.(map[string]any), nil\n 105→}\n 106→\n 107→// If the context does not have a user, update the global ui configuration\n 108→// without persisting it! If there is a (authenticated) user, update only his\n 109→// configuration.\n 110→func (uCfg *UserCfgRepo) UpdateConfig(\n 111→\tkey, value string,\n 112→\tuser *schema.User,\n 113→) error {\n 114→\tif user == nil {\n 115→\t\treturn nil\n 116→\t}\n 117→\n 118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n 119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n 120→\t\treturn err\n 121→\t}\n 122→\n 123→\tuCfg.cache.Del(user.Username)\n 124→\treturn nil\n 125→}\n 126→"}]},"uuid":"26b657ef-8d4f-4de6-b998-37cf55ac4d70","timestamp":"2026-03-16T10:18:49.618Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d8270e24-3094-4818-af66-af3c4231100c","timestamp":"2026-03-16T10:18:49.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8270e24-3094-4818-af66-af3c4231100c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:49.739Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MsWPut4e1zdNwUqThdWiMB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KJFyHUDWTGtSRPAXSCrpMx","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":836,"cache_read_input_tokens":41625,"cache_creation":{"ephemeral_5m_input_tokens":836,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6m24hhGQfoDwA1QQ6","uuid":"802b37fe-8e09-4e41-ba0d-057194171cc2"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c1b8a9cc-4d1d-45d3-a3dc-71b0707c22cb","timestamp":"2026-03-16T10:18:49.739Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c1b8a9cc-4d1d-45d3-a3dc-71b0707c22cb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KJFyHUDWTGtSRPAXSCrpMx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\n 10→\t\"github.com/jmoiron/sqlx\"\n 11→)\n 12→\n 13→// Transaction wraps a database transaction for job-related operations.\n 14→type Transaction struct {\n 15→\ttx *sqlx.Tx\n 16→}\n 17→\n 18→// TransactionInit begins a new transaction.\n 19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n 20→\ttx, err := r.DB.Beginx()\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n 23→\t}\n 24→\treturn &Transaction{tx: tx}, nil\n 25→}\n 26→\n 27→// Commit commits the transaction.\n 28→// After calling Commit, the transaction should not be used again.\n 29→func (t *Transaction) Commit() error {\n 30→\tif t.tx == nil {\n 31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n 32→\t}\n 33→\terr := t.tx.Commit()\n 34→\tt.tx = nil // Mark as completed\n 35→\tif err != nil {\n 36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n 37→\t}\n 38→\treturn nil\n 39→}\n 40→\n 41→// Rollback rolls back the transaction.\n 42→// It's safe to call Rollback on an already committed or rolled back transaction.\n 43→func (t *Transaction) Rollback() error {\n 44→\tif t.tx == nil {\n 45→\t\treturn nil // Already committed/rolled back\n 46→\t}\n 47→\terr := t.tx.Rollback()\n 48→\tt.tx = nil // Mark as completed\n 49→\tif err != nil {\n 50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// TransactionEnd commits the transaction.\n 56→// Deprecated: Use Commit() instead.\n 57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n 58→\treturn t.Commit()\n 59→}\n 60→\n 61→// TransactionAddNamed executes a named query within the transaction.\n 62→func (r *JobRepository) TransactionAddNamed(\n 63→\tt *Transaction,\n 64→\tquery string,\n 65→\targs ...any,\n 66→) (int64, error) {\n 67→\tif t.tx == nil {\n 68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 69→\t}\n 70→\n 71→\tres, err := t.tx.NamedExec(query, args)\n 72→\tif err != nil {\n 73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n 74→\t}\n 75→\n 76→\tid, err := res.LastInsertId()\n 77→\tif err != nil {\n 78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 79→\t}\n 80→\n 81→\treturn id, nil\n 82→}\n 83→\n 84→// TransactionAdd executes a query within the transaction.\n 85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n 86→\tif t.tx == nil {\n 87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 88→\t}\n 89→\n 90→\tres, err := t.tx.Exec(query, args...)\n 91→\tif err != nil {\n 92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n 93→\t}\n 94→\n 95→\tid, err := res.LastInsertId()\n 96→\tif err != nil {\n 97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 98→\t}\n 99→\n 100→\treturn id, nil\n 101→}\n 102→"}]},"uuid":"2f9dc6da-4671-40e1-a14d-0290cdfa635a","timestamp":"2026-03-16T10:18:49.741Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fb473e8e-5f7d-47eb-a554-224897365579","timestamp":"2026-03-16T10:18:49.753Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package taskmanager provides a background task scheduler for the cc-backend.\n 7→// It manages various periodic tasks such as job archiving (retention),\n 8→// database compression, LDAP synchronization, and statistic updates.\n 9→//\n 10→// The package uses the gocron library to schedule tasks. Configuration\n 11→// for the tasks is provided via JSON configs passed to the Start function.\n 12→package taskmanager\n 13→"}]},"uuid":"bf925916-6c87-4f86-914c-bd825e2feae6","timestamp":"2026-03-16T10:18:50.250Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"046a6d5a-489c-43d4-b704-0220d28a94c4","timestamp":"2026-03-16T10:18:50.418Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"046a6d5a-489c-43d4-b704-0220d28a94c4","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.447Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CpiGuLdz7DarZP3aRM8bis","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/taskManager.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"ec380576-bc14-468c-834f-036f8812e933"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","timestamp":"2026-03-16T10:18:50.447Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CpiGuLdz7DarZP3aRM8bis","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\t\"github.com/go-co-op/gocron/v2\"\n 18→)\n 19→\n 20→const (\n 21→\tDefaultCompressOlderThan = 7\n 22→)\n 23→\n 24→// Retention defines the configuration for job retention policies.\n 25→type Retention struct {\n 26→\tPolicy string `json:\"policy\"`\n 27→\tFormat string `json:\"format\"`\n 28→\tAge int `json:\"age\"`\n 29→\tIncludeDB bool `json:\"include-db\"`\n 30→\tOmitTagged string `json:\"omit-tagged\"`\n 31→\tTargetKind string `json:\"target-kind\"`\n 32→\tTargetPath string `json:\"target-path\"`\n 33→\tTargetEndpoint string `json:\"target-endpoint\"`\n 34→\tTargetBucket string `json:\"target-bucket\"`\n 35→\tTargetAccessKey string `json:\"target-access-key\"`\n 36→\tTargetSecretKey string `json:\"target-secret-key\"`\n 37→\tTargetRegion string `json:\"target-region\"`\n 38→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 39→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 40→}\n 41→\n 42→// CronFrequency defines the execution intervals for various background workers.\n 43→type CronFrequency struct {\n 44→\t// Duration Update Worker [Defaults to '2m']\n 45→\tCommitJobWorker string `json:\"commit-job-worker\"`\n 46→\t// Duration Update Worker [Defaults to '5m']\n 47→\tDurationWorker string `json:\"duration-worker\"`\n 48→\t// Metric-Footprint Update Worker [Defaults to '10m']\n 49→\tFootprintWorker string `json:\"footprint-worker\"`\n 50→}\n 51→\n 52→var (\n 53→\ts gocron.Scheduler\n 54→\tjobRepo *repository.JobRepository\n 55→\t// Keys holds the configured frequencies for cron jobs.\n 56→\tKeys CronFrequency\n 57→)\n 58→\n 59→// parseDuration parses a duration string and handles errors by logging them.\n 60→// It returns the duration and any error encountered.\n 61→func parseDuration(s string) (time.Duration, error) {\n 62→\tinterval, err := time.ParseDuration(s)\n 63→\tif err != nil {\n 64→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n 65→\t\t\ts)\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\tif interval == 0 {\n 70→\t\tcclog.Info(\"TaskManager: Sync interval is zero\")\n 71→\t}\n 72→\n 73→\treturn interval, nil\n 74→}\n 75→\n 76→func initArchiveServices(config json.RawMessage) {\n 77→\tvar cfg struct {\n 78→\t\tRetention Retention `json:\"retention\"`\n 79→\t\tCompression int `json:\"compression\"`\n 80→\t}\n 81→\tcfg.Retention.IncludeDB = true\n 82→\n 83→\tif err := json.Unmarshal(config, &cfg); err != nil {\n 84→\t\tcclog.Errorf(\"error while unmarshaling raw config json: %v\", err)\n 85→\t}\n 86→\n 87→\tswitch cfg.Retention.Policy {\n 88→\tcase \"delete\":\n 89→\t\tRegisterRetentionDeleteService(cfg.Retention)\n 90→\tcase \"copy\":\n 91→\t\tRegisterRetentionCopyService(cfg.Retention)\n 92→\tcase \"move\":\n 93→\t\tRegisterRetentionMoveService(cfg.Retention)\n 94→\t}\n 95→\n 96→\tif cfg.Compression > 0 {\n 97→\t\tRegisterCompressionService(cfg.Compression)\n 98→\t} else {\n 99→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n 100→\t}\n 101→}\n 102→\n 103→// Start initializes the task manager, parses configurations, and registers background tasks.\n 104→// It starts the gocron scheduler.\n 105→func Start(cronCfg, archiveConfig json.RawMessage) {\n 106→\tvar err error\n 107→\tjobRepo = repository.GetJobRepository()\n 108→\ts, err = gocron.NewScheduler()\n 109→\tif err != nil {\n 110→\t\tcclog.Abortf(\"Taskmanager Start: Could not create gocron scheduler.\\nError: %s\\n\", err.Error())\n 111→\t}\n 112→\n 113→\tif config.Keys.StopJobsExceedingWalltime > 0 {\n 114→\t\tRegisterStopJobsExceedTime()\n 115→\t}\n 116→\n 117→\tdec := json.NewDecoder(bytes.NewReader(cronCfg))\n 118→\tdec.DisallowUnknownFields()\n 119→\tif err := dec.Decode(&Keys); err != nil {\n 120→\t\tcclog.Errorf(\"error while decoding cron config: %v\", err)\n 121→\t}\n 122→\n 123→\tif archiveConfig != nil {\n 124→\t\tinitArchiveServices(archiveConfig)\n 125→\t} else {\n 126→\t\t// Always enable compression\n 127→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n 128→\t}\n 129→\n 130→\tlc := auth.Keys.LdapConfig\n 131→\n 132→\tif lc != nil && lc.SyncInterval != \"\" {\n 133→\t\tRegisterLdapSyncService(lc.SyncInterval)\n 134→\t}\n 135→\n 136→\tRegisterFootprintWorker()\n 137→\tRegisterUpdateDurationWorker()\n 138→\tRegisterCommitJobService()\n 139→\n 140→\tif config.Keys.NodeStateRetention != nil && config.Keys.NodeStateRetention.Policy != \"\" {\n 141→\t\tinitNodeStateRetention()\n 142→\t}\n 143→\n 144→\ts.Start()\n 145→}\n 146→\n 147→func initNodeStateRetention() {\n 148→\tcfg := config.Keys.NodeStateRetention\n 149→\tage := cfg.Age\n 150→\tif age <= 0 {\n 151→\t\tage = 24\n 152→\t}\n 153→\n 154→\tswitch cfg.Policy {\n 155→\tcase \"delete\":\n 156→\t\tRegisterNodeStateRetentionDeleteService(age)\n 157→\tcase \"move\":\n 158→\t\tRegisterNodeStateRetentionMoveService(cfg)\n 159→\tdefault:\n 160→\t\tcclog.Warnf(\"Unknown nodestate-retention policy: %s\", cfg.Policy)\n 161→\t}\n 162→}\n 163→\n 164→// Shutdown stops the task manager and its scheduler.\n 165→func Shutdown() {\n 166→\tif s != nil {\n 167→\t\ts.Shutdown()\n 168→\t}\n 169→}\n 170→"}]},"uuid":"b840ac82-4a71-46d9-966b-08f9e24c9ff6","timestamp":"2026-03-16T10:18:50.450Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","timestamp":"2026-03-16T10:18:50.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.952Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016yhvR19UmnU9A4PBVr5Bav","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"fb5717cc-7ae1-4942-aa0d-3cac688edc69"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","timestamp":"2026-03-16T10:18:50.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016yhvR19UmnU9A4PBVr5Bav","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package main provides the entry point for the ClusterCockpit backend server.\n 7→// This file contains HTTP server setup, routing configuration, and\n 8→// authentication middleware integration.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"crypto/tls\"\n 14→\t\"encoding/json\"\n 15→\t\"errors\"\n 16→\t\"fmt\"\n 17→\t\"net\"\n 18→\t\"net/http\"\n 19→\t\"os\"\n 20→\t\"strings\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/99designs/gqlgen/graphql\"\n 24→\t\"github.com/99designs/gqlgen/graphql/handler\"\n 25→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n 26→\t\"github.com/99designs/gqlgen/graphql/playground\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n 34→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 35→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 39→\t\"github.com/go-chi/chi/v5\"\n 40→\t\"github.com/go-chi/chi/v5/middleware\"\n 41→\t\"github.com/go-chi/cors\"\n 42→\thttpSwagger \"github.com/swaggo/http-swagger\"\n 43→)\n 44→\n 45→var buildInfo web.Build\n 46→\n 47→// Environment variable names\n 48→const (\n 49→\tenvDebug = \"DEBUG\"\n 50→)\n 51→\n 52→// Server encapsulates the HTTP server state and dependencies\n 53→type Server struct {\n 54→\trouter chi.Router\n 55→\tserver *http.Server\n 56→\trestAPIHandle *api.RestAPI\n 57→\tnatsAPIHandle *api.NatsAPI\n 58→}\n 59→\n 60→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n 61→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 62→\trw.WriteHeader(http.StatusUnauthorized)\n 63→\tjson.NewEncoder(rw).Encode(map[string]string{\n 64→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n 65→\t\t\"error\": err.Error(),\n 66→\t})\n 67→}\n 68→\n 69→// NewServer creates and initializes a new Server instance\n 70→func NewServer(version, commit, buildDate string) (*Server, error) {\n 71→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n 72→\n 73→\ts := &Server{\n 74→\t\trouter: chi.NewRouter(),\n 75→\t}\n 76→\n 77→\tif err := s.init(); err != nil {\n 78→\t\treturn nil, err\n 79→\t}\n 80→\n 81→\treturn s, nil\n 82→}\n 83→\n 84→func (s *Server) init() error {\n 85→\t// Setup the http.Handler/Router used by the server\n 86→\tgraph.Init()\n 87→\tresolver := graph.GetResolverInstance()\n 88→\tgraphQLServer := handler.New(\n 89→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n 90→\n 91→\tgraphQLServer.AddTransport(transport.POST{})\n 92→\n 93→\t// Inject a per-request stats cache so that grouped statistics queries\n 94→\t// sharing the same (filter, groupBy) pair are executed only once.\n 95→\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n 96→\t\treturn next(graph.WithStatsGroupCache(ctx))\n 97→\t})\n 98→\n 99→\tif os.Getenv(envDebug) != \"1\" {\n 100→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n 101→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n 102→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n 103→\t\t\tswitch e := err.(type) {\n 104→\t\t\tcase string:\n 105→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n 106→\t\t\tcase error:\n 107→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n 108→\t\t\t}\n 109→\n 110→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n 111→\t\t})\n 112→\t}\n 113→\n 114→\tauthHandle := auth.GetAuthInstance()\n 115→\n 116→\t// Middleware must be defined before routes in chi\n 117→\ts.router.Use(func(next http.Handler) http.Handler {\n 118→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 119→\t\t\tstart := time.Now()\n 120→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n 121→\t\t\tnext.ServeHTTP(ww, r)\n 122→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n 123→\t\t\t\tr.Method, r.URL.RequestURI(),\n 124→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n 125→\t\t\t\ttime.Since(start).Milliseconds())\n 126→\t\t})\n 127→\t})\n 128→\ts.router.Use(middleware.Compress(5))\n 129→\ts.router.Use(middleware.Recoverer)\n 130→\ts.router.Use(cors.Handler(cors.Options{\n 131→\t\tAllowCredentials: true,\n 132→\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n 133→\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n 134→\t\tAllowedOrigins: []string{\"*\"},\n 135→\t}))\n 136→\n 137→\ts.restAPIHandle = api.New()\n 138→\n 139→\tinfo := map[string]any{}\n 140→\tinfo[\"hasOpenIDConnect\"] = false\n 141→\n 142→\tif auth.Keys.OpenIDConfig != nil {\n 143→\t\topenIDConnect := auth.NewOIDC(authHandle)\n 144→\t\topenIDConnect.RegisterEndpoints(s.router)\n 145→\t\tinfo[\"hasOpenIDConnect\"] = true\n 146→\t}\n 147→\n 148→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n 149→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 150→\t\tcclog.Debugf(\"##%v##\", info)\n 151→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n 152→\t})\n 153→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n 154→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 155→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n 156→\t})\n 157→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n 158→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 159→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n 160→\t})\n 161→\n 162→\tif !config.Keys.DisableAuthentication {\n 163→\t\t// Create login failure handler (used by both /login and /jwt-login)\n 164→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n 165→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 166→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 167→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 168→\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n 169→\t\t\t\tMsgType: \"alert-warning\",\n 170→\t\t\t\tMessage: err.Error(),\n 171→\t\t\t\tBuild: buildInfo,\n 172→\t\t\t\tInfos: info,\n 173→\t\t\t})\n 174→\t\t}\n 175→\n 176→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 177→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 178→\n 179→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n 180→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 181→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 182→\t\t\t\trw.WriteHeader(http.StatusOK)\n 183→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 184→\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n 185→\t\t\t\t\tMsgType: \"alert-info\",\n 186→\t\t\t\t\tMessage: \"Logout successful\",\n 187→\t\t\t\t\tBuild: buildInfo,\n 188→\t\t\t\t\tInfos: info,\n 189→\t\t\t\t})\n 190→\t\t\t})).ServeHTTP)\n 191→\t}\n 192→\n 193→\tif flagDev {\n 194→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n 195→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n 196→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n 197→\t}\n 198→\n 199→\t// Secured routes (require authentication)\n 200→\ts.router.Group(func(secured chi.Router) {\n 201→\t\tif !config.Keys.DisableAuthentication {\n 202→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n 203→\t\t\t\treturn authHandle.Auth(\n 204→\t\t\t\t\tnext,\n 205→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n 206→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 207→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 208→\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n 209→\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n 210→\t\t\t\t\t\t\tMessage: err.Error(),\n 211→\t\t\t\t\t\t\tBuild: buildInfo,\n 212→\t\t\t\t\t\t\tInfos: info,\n 213→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n 214→\t\t\t\t\t\t})\n 215→\t\t\t\t\t})\n 216→\t\t\t})\n 217→\t\t}\n 218→\n 219→\t\tsecured.Handle(\"/query\", graphQLServer)\n 220→\n 221→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n 222→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n 223→\t\t})\n 224→\n 225→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n 226→\t})\n 227→\n 228→\t// API routes (JWT token auth)\n 229→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n 230→\t\t// Main API routes with API auth\n 231→\t\tapiRouter.Group(func(securedapi chi.Router) {\n 232→\t\t\tif !config.Keys.DisableAuthentication {\n 233→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n 234→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n 235→\t\t\t\t})\n 236→\t\t\t}\n 237→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n 238→\t\t})\n 239→\n 240→\t\t// Metric store API routes with separate auth\n 241→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n 242→\t\t\tif !config.Keys.DisableAuthentication {\n 243→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n 244→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n 245→\t\t\t\t})\n 246→\t\t\t}\n 247→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n 248→\t\t})\n 249→\t})\n 250→\n 251→\t// User API routes\n 252→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n 253→\t\tif !config.Keys.DisableAuthentication {\n 254→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n 255→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n 256→\t\t\t})\n 257→\t\t}\n 258→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n 259→\t})\n 260→\n 261→\t// Config API routes (uses Group with full paths to avoid shadowing\n 262→\t// the /config page route that is registered in the secured group)\n 263→\ts.router.Group(func(configapi chi.Router) {\n 264→\t\tif !config.Keys.DisableAuthentication {\n 265→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n 266→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n 267→\t\t\t})\n 268→\t\t}\n 269→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n 270→\t})\n 271→\n 272→\t// Frontend API routes\n 273→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n 274→\t\tif !config.Keys.DisableAuthentication {\n 275→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n 276→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n 277→\t\t\t})\n 278→\t\t}\n 279→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n 280→\t})\n 281→\n 282→\tif config.Keys.APISubjects != nil {\n 283→\t\ts.natsAPIHandle = api.NewNatsAPI()\n 284→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n 285→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n 286→\t\t}\n 287→\t}\n 288→\n 289→\t// 404 handler for pages and API routes\n 290→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n 291→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n 292→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n 293→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n 294→\t\t\trw.WriteHeader(http.StatusNotFound)\n 295→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n 296→\t\t\t\t\"status\": \"Resource not found\",\n 297→\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n 298→\t\t\t})\n 299→\t\t\treturn\n 300→\t\t}\n 301→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n 302→\t\trw.WriteHeader(http.StatusNotFound)\n 303→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n 304→\t\t\tTitle: \"Page Not Found\",\n 305→\t\t\tBuild: buildInfo,\n 306→\t\t})\n 307→\t}\n 308→\n 309→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n 310→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n 311→\ts.router.NotFound(notFoundHandler)\n 312→\n 313→\tif config.Keys.EmbedStaticFiles {\n 314→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n 315→\t\t\tif i.IsDir() {\n 316→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n 317→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n 318→\t\t\t}\n 319→\t\t}\n 320→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n 321→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 322→\t\t\tif web.StaticFileExists(r.URL.Path) {\n 323→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 324→\t\t\t\treturn\n 325→\t\t\t}\n 326→\t\t\tnotFoundHandler(rw, r)\n 327→\t\t}))\n 328→\t} else {\n 329→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n 330→\t\tfileServer := http.FileServer(staticDir)\n 331→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 332→\t\t\tf, err := staticDir.Open(r.URL.Path)\n 333→\t\t\tif err == nil {\n 334→\t\t\t\tf.Close()\n 335→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 336→\t\t\t\treturn\n 337→\t\t\t}\n 338→\t\t\tnotFoundHandler(rw, r)\n 339→\t\t}))\n 340→\t}\n 341→\n 342→\treturn nil\n 343→}\n 344→\n 345→// Server timeout defaults (in seconds)\n 346→const (\n 347→\tdefaultReadTimeout = 20\n 348→\tdefaultWriteTimeout = 20\n 349→)\n 350→\n 351→func (s *Server) Start(ctx context.Context) error {\n 352→\t// Use configurable timeouts with defaults\n 353→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n 354→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n 355→\n 356→\ts.server = &http.Server{\n 357→\t\tReadTimeout: readTimeout,\n 358→\t\tWriteTimeout: writeTimeout,\n 359→\t\tHandler: s.router,\n 360→\t\tAddr: config.Keys.Addr,\n 361→\t}\n 362→\n 363→\t// Start http or https server\n 364→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n 365→\tif err != nil {\n 366→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n 367→\t}\n 368→\n 369→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n 370→\t\tgo func() {\n 371→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n 372→\t\t}()\n 373→\t}\n 374→\n 375→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n 376→\t\tcert, err := tls.LoadX509KeyPair(\n 377→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n 378→\t\tif err != nil {\n 379→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n 380→\t\t}\n 381→\t\tlistener = tls.NewListener(listener, &tls.Config{\n 382→\t\t\tCertificates: []tls.Certificate{cert},\n 383→\t\t\tCipherSuites: []uint16{\n 384→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n 385→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n 386→\t\t\t},\n 387→\t\t\tMinVersion: tls.VersionTLS12,\n 388→\t\t\tPreferServerCipherSuites: true,\n 389→\t\t})\n 390→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n 391→\t} else {\n 392→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n 393→\t}\n 394→\t//\n 395→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n 396→\t// be established first, then the user can be changed, and after that,\n 397→\t// the actual http server can be started.\n 398→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n 399→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n 400→\t}\n 401→\n 402→\t// Handle context cancellation for graceful shutdown\n 403→\tgo func() {\n 404→\t\t<-ctx.Done()\n 405→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n 406→\t\tdefer cancel()\n 407→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 408→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 409→\t\t}\n 410→\t}()\n 411→\n 412→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n 413→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n 414→\t}\n 415→\treturn nil\n 416→}\n 417→\n 418→func (s *Server) Shutdown(ctx context.Context) {\n 419→\t// Create a shutdown context with timeout\n 420→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n 421→\tdefer cancel()\n 422→\n 423→\tnc := nats.GetClient()\n 424→\tif nc != nil {\n 425→\t\tnc.Close()\n 426→\t}\n 427→\n 428→\t// First shut down the server gracefully (waiting for all ongoing requests)\n 429→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 430→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 431→\t}\n 432→\n 433→\t// Archive all the metric store data\n 434→\tms := metricstore.GetMemoryStore()\n 435→\n 436→\tif ms != nil {\n 437→\t\tmetricstore.Shutdown()\n 438→\t}\n 439→\n 440→\t// Shutdown archiver with 10 second timeout for fast shutdown\n 441→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 442→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n 443→\t}\n 444→}\n 445→"}]},"uuid":"7b6c56ec-39d9-4a50-88ed-3b62f3e9c091","timestamp":"2026-03-16T10:18:50.958Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"20c14204-0590-4339-9d5b-3a776c10857e","timestamp":"2026-03-16T10:18:51.005Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"20c14204-0590-4339-9d5b-3a776c10857e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","name":"Agent","input":{"description":"Find tag and job update patterns","subagent_type":"Explore","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"output_tokens":1022,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4142,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"be9edc37-8b94-42c3-a207-56a1de047ced","timestamp":"2026-03-16T10:18:51.093Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"a47afbb6-90af-4eec-b7eb-ddc5a43ca5b2","timestamp":"2026-03-16T10:18:51.093Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a47afbb6-90af-4eec-b7eb-ddc5a43ca5b2","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns."}]},"uuid":"675bc080-bb74-4c3c-87bf-1818d9a5e7de","timestamp":"2026-03-16T10:18:51.405Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"a9507018-e752-4210-b096-d907b9185f1b","timestamp":"2026-03-16T10:18:51.406Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9507018-e752-4210-b096-d907b9185f1b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:51.827Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EYSQna5UcVakBUY28WzWCZ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d6096e1f-fbc2-4b20-9361-db72ba8bbb10"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","timestamp":"2026-03-16T10:18:51.827Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EYSQna5UcVakBUY28WzWCZ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"bufio\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"errors\"\n 13→\t\"fmt\"\n 14→\t\"net/http\"\n 15→\t\"strconv\"\n 16→\t\"strings\"\n 17→\t\"sync\"\n 18→\t\"time\"\n 19→\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 29→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 30→\t\"github.com/go-chi/chi/v5\"\n 31→)\n 32→\n 33→const (\n 34→\t// secondsPerDay is the number of seconds in 24 hours.\n 35→\t// Used for duplicate job detection within a day window.\n 36→\tsecondsPerDay = 86400\n 37→)\n 38→\n 39→// StopJobAPIRequest model\n 40→type StopJobAPIRequest struct {\n 41→\tJobID *int64 `json:\"jobId\" example:\"123000\"`\n 42→\tCluster *string `json:\"cluster\" example:\"fritz\"`\n 43→\tStartTime *int64 `json:\"startTime\" example:\"1649723812\"`\n 44→\tState schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n 45→\tStopTime int64 `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n 46→}\n 47→\n 48→// DeleteJobAPIRequest model\n 49→type DeleteJobAPIRequest struct {\n 50→\tJobID *int64 `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n 51→\tCluster *string `json:\"cluster\" example:\"fritz\"` // Cluster of job\n 52→\tStartTime *int64 `json:\"startTime\" example:\"1649723812\"` // Start Time of job as epoch\n 53→}\n 54→\n 55→// GetJobsAPIResponse model\n 56→type GetJobsAPIResponse struct {\n 57→\tJobs []*schema.Job `json:\"jobs\"` // Array of jobs\n 58→\tItems int `json:\"items\"` // Number of jobs returned\n 59→\tPage int `json:\"page\"` // Page id returned\n 60→}\n 61→\n 62→// APITag model\n 63→type APITag struct {\n 64→\t// Tag Type\n 65→\tType string `json:\"type\" example:\"Debug\"`\n 66→\tName string `json:\"name\" example:\"Testjob\"` // Tag Name\n 67→\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n 68→}\n 69→\n 70→type EditMetaRequest struct {\n 71→\tKey string `json:\"key\" example:\"jobScript\"`\n 72→\tValue string `json:\"value\" example:\"bash script\"`\n 73→}\n 74→\n 75→// JobMetaRequest model\n 76→type JobMetaRequest struct {\n 77→\tJobId *int64 `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n 78→\tCluster *string `json:\"cluster\" example:\"fritz\"` // Cluster of job\n 79→\tStartTime *int64 `json:\"startTime\" example:\"1649723812\"` // Start Time of job as epoch\n 80→\tPayload EditMetaRequest `json:\"payload\"` // Content to Add to Job Meta_Data\n 81→}\n 82→\n 83→type TagJobAPIRequest []*APITag\n 84→\n 85→type GetJobAPIRequest []string\n 86→\n 87→type GetJobAPIResponse struct {\n 88→\tMeta *schema.Job\n 89→\tData []*JobMetricWithName\n 90→}\n 91→\n 92→type GetCompleteJobAPIResponse struct {\n 93→\tMeta *schema.Job\n 94→\tData schema.JobData\n 95→}\n 96→\n 97→type JobMetricWithName struct {\n 98→\tMetric *schema.JobMetric `json:\"metric\"`\n 99→\tName string `json:\"name\"`\n 100→\tScope schema.MetricScope `json:\"scope\"`\n 101→}\n 102→\n 103→// getJobs godoc\n 104→// @summary Lists all jobs\n 105→// @tags Job query\n 106→// @description Get a list of all jobs. Filters can be applied using query parameters.\n 107→// @description Number of results can be limited by page. Results are sorted by descending startTime.\n 108→// @produce json\n 109→// @param state query string false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n 110→// @param cluster query string false \"Job Cluster\"\n 111→// @param start-time query string false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n 112→// @param items-per-page query int false \"Items per page (Default: 25)\"\n 113→// @param page query int false \"Page Number (Default: 1)\"\n 114→// @param with-metadata query bool false \"Include metadata (e.g. jobScript) in response\"\n 115→// @success 200 {object} api.GetJobsAPIResponse \"Job array and page info\"\n 116→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 117→// @failure 401 \t\t {object} api.ErrorResponse \"Unauthorized\"\n 118→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 119→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 120→// @security ApiKeyAuth\n 121→// @router /api/jobs/ [get]\n 122→func (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n 123→\twithMetadata := false\n 124→\tfilter := &model.JobFilter{}\n 125→\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n 126→\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n 127→\n 128→\tfor key, vals := range r.URL.Query() {\n 129→\t\tswitch key {\n 130→\t\tcase \"project\":\n 131→\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n 132→\t\tcase \"state\":\n 133→\t\t\tfor _, s := range vals {\n 134→\t\t\t\tstate := schema.JobState(s)\n 135→\t\t\t\tif !state.Valid() {\n 136→\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n 137→\t\t\t\t\t\thttp.StatusBadRequest, rw)\n 138→\t\t\t\t\treturn\n 139→\t\t\t\t}\n 140→\t\t\t\tfilter.State = append(filter.State, state)\n 141→\t\t\t}\n 142→\t\tcase \"cluster\":\n 143→\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n 144→\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n 145→\t\t\tst := strings.Split(vals[0], \"-\")\n 146→\t\t\tif len(st) != 2 {\n 147→\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n 148→\t\t\t\t\thttp.StatusBadRequest, rw)\n 149→\t\t\t\treturn\n 150→\t\t\t}\n 151→\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n 152→\t\t\tif err != nil {\n 153→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 154→\t\t\t\treturn\n 155→\t\t\t}\n 156→\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n 157→\t\t\tif err != nil {\n 158→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 159→\t\t\t\treturn\n 160→\t\t\t}\n 161→\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n 162→\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n 163→\t\tcase \"page\":\n 164→\t\t\tx, err := strconv.Atoi(vals[0])\n 165→\t\t\tif err != nil {\n 166→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 167→\t\t\t\treturn\n 168→\t\t\t}\n 169→\t\t\tpage.Page = x\n 170→\t\tcase \"items-per-page\":\n 171→\t\t\tx, err := strconv.Atoi(vals[0])\n 172→\t\t\tif err != nil {\n 173→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 174→\t\t\t\treturn\n 175→\t\t\t}\n 176→\t\t\tpage.ItemsPerPage = x\n 177→\t\tcase \"with-metadata\":\n 178→\t\t\twithMetadata = true\n 179→\t\tdefault:\n 180→\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n 181→\t\t\t\thttp.StatusBadRequest, rw)\n 182→\t\t\treturn\n 183→\t\t}\n 184→\t}\n 185→\n 186→\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n 187→\tif err != nil {\n 188→\t\thandleError(err, http.StatusInternalServerError, rw)\n 189→\t\treturn\n 190→\t}\n 191→\n 192→\tresults := make([]*schema.Job, 0, len(jobs))\n 193→\tfor _, job := range jobs {\n 194→\t\tif withMetadata {\n 195→\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n 196→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n 197→\t\t\t\treturn\n 198→\t\t\t}\n 199→\t\t}\n 200→"}]},"uuid":"8fa28d9a-01e0-42a6-90c9-b57102ff1253","timestamp":"2026-03-16T10:18:51.830Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06455334-fd48-4615-b71c-7833878dbe31","timestamp":"2026-03-16T10:18:52.270Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"06455334-fd48-4615-b71c-7833878dbe31","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.307Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0138fSPJx1XBMMc57JEsMKjS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"09122b3a-f95b-4190-800f-1261e69713f0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"034bec39-c50a-4c61-af67-9340a163e069","timestamp":"2026-03-16T10:18:52.307Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"034bec39-c50a-4c61-af67-9340a163e069","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138fSPJx1XBMMc57JEsMKjS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n 68→\t// when the database is under contention.\n 69→\tjobSem chan struct{}\n 70→\t// nodeSem limits concurrent NATS node state processing.\n 71→\tnodeSem chan struct{}\n 72→}\n 73→\n 74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 75→func NewNatsAPI() *NatsAPI {\n 76→\treturn &NatsAPI{\n 77→\t\tJobRepository: repository.GetJobRepository(),\n 78→\t\tjobSem: make(chan struct{}, 8),\n 79→\t\tnodeSem: make(chan struct{}, 2),\n 80→\t}\n 81→}\n 82→\n 83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 84→// Returns an error if the NATS client is not available or subscription fails.\n 85→func (api *NatsAPI) StartSubscriptions() error {\n 86→\tclient := nats.GetClient()\n 87→\tif client == nil {\n 88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 89→\t\treturn nil\n 90→\t}\n 91→\n 92→\tif config.Keys.APISubjects != nil {\n 93→\n 94→\t\ts := config.Keys.APISubjects\n 95→\n 96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 101→\t\t\treturn err\n 102→\t\t}\n 103→\n 104→\t\tcclog.Info(\"NATS API subscriptions started\")\n 105→\t}\n 106→\treturn nil\n 107→}\n 108→\n 109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 110→// Validates that required tags and fields are present before processing.\n 111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 112→\tfunction, ok := msg.GetTag(\"function\")\n 113→\tif !ok {\n 114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 115→\t\treturn\n 116→\t}\n 117→\n 118→\tswitch function {\n 119→\tcase \"start_job\":\n 120→\t\tv, ok := msg.GetEventValue()\n 121→\t\tif !ok {\n 122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 123→\t\t\treturn\n 124→\t\t}\n 125→\t\tapi.handleStartJob(v)\n 126→\n 127→\tcase \"stop_job\":\n 128→\t\tv, ok := msg.GetEventValue()\n 129→\t\tif !ok {\n 130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 131→\t\t\treturn\n 132→\t\t}\n 133→\t\tapi.handleStopJob(v)\n 134→\n 135→\tdefault:\n 136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 137→\t}\n 138→}\n 139→\n 140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 141→// The message must be in line protocol format with measurement=\"job\" and include:\n 142→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 143→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 144→//\n 145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 147→\tapi.jobSem <- struct{}{}\n 148→\tdefer func() { <-api.jobSem }()\n 149→\n 150→\tif len(data) == 0 {\n 151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 152→\t\treturn\n 153→\t}\n 154→\n 155→\td := influx.NewDecoderWithBytes(data)\n 156→\n 157→\tfor d.Next() {\n 158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 159→\t\tif err != nil {\n 160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 161→\t\t\treturn\n 162→\t\t}\n 163→\n 164→\t\tif !m.IsEvent() {\n 165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 166→\t\t\tcontinue\n 167→\t\t}\n 168→\n 169→\t\tif m.Name() == \"job\" {\n 170→\t\t\tapi.processJobEvent(m)\n 171→\t\t} else {\n 172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 173→\t\t}\n 174→\t}\n 175→}\n 176→\n 177→// handleStartJob processes job start messages received via NATS.\n 178→// The payload parameter contains JSON following the schema.Job structure.\n 179→// Jobs are validated, checked for duplicates, and inserted into the database.\n 180→func (api *NatsAPI) handleStartJob(payload string) {\n 181→\tif payload == \"\" {\n 182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 183→\t\treturn\n 184→\t}\n 185→\treq := schema.Job{\n 186→\t\tShared: \"none\",\n 187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 188→\t}\n 189→\n 190→\tdec := json.NewDecoder(strings.NewReader(payload))\n 191→\tdec.DisallowUnknownFields()\n 192→\tif err := dec.Decode(&req); err != nil {\n 193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 194→\t\treturn\n 195→\t}\n 196→\n 197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 198→\treq.State = schema.JobStateRunning\n 199→\n 200→\tif err := importer.SanityChecks(&req); err != nil {\n 201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 202→\t\treturn\n 203→\t}\n 204→\n 205→\tvar unlockOnce sync.Once\n 206→\tapi.RepositoryMutex.Lock()\n 207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 208→\n 209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 210→\tif err != nil && err != sql.ErrNoRows {\n 211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 212→\t\treturn\n 213→\t}\n 214→\tif err == nil {\n 215→\t\tfor _, job := range jobs {\n 216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 219→\t\t\t\treturn\n 220→\t\t\t}\n 221→\t\t}\n 222→\t}\n 223→\n 224→\t// When tags are present, insert directly into the job table so that the\n 225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 226→\tvar id int64\n 227→\tif len(req.Tags) > 0 {\n 228→\t\tid, err = api.JobRepository.StartDirect(&req)\n 229→\t} else {\n 230→\t\tid, err = api.JobRepository.Start(&req)\n 231→\t}\n 232→\tif err != nil {\n 233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 234→\t\treturn\n 235→\t}\n 236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 237→\n 238→\tfor _, tag := range req.Tags {\n 239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 241→\t\t\treturn\n 242→\t\t}\n 243→\t}\n 244→\n 245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 247→}\n 248→\n 249→// handleStopJob processes job stop messages received via NATS.\n 250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 252→func (api *NatsAPI) handleStopJob(payload string) {\n 253→\tif payload == \"\" {\n 254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 255→\t\treturn\n 256→\t}\n 257→\tvar req StopJobAPIRequest\n 258→\n 259→\tdec := json.NewDecoder(strings.NewReader(payload))\n 260→\tdec.DisallowUnknownFields()\n 261→\tif err := dec.Decode(&req); err != nil {\n 262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 263→\t\treturn\n 264→\t}\n 265→\n 266→\tif req.JobID == nil {\n 267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 268→\t\treturn\n 269→\t}\n 270→\n 271→\tisCached := false\n 272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 273→\tif err != nil {\n 274→\t\t// Not in cache, try main job table\n 275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 276→\t\tif err != nil {\n 277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 278→\t\t\treturn\n 279→\t\t}\n 280→\t} else {\n 281→\t\tisCached = true\n 282→\t}\n 283→\n 284→\tif job.State != schema.JobStateRunning {\n 285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 287→\t\treturn\n 288→\t}\n 289→\n 290→\tif job.StartTime > req.StopTime {\n 291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 293→\t\treturn\n 294→\t}\n 295→\n 296→\tif req.State != \"\" && !req.State.Valid() {\n 297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 299→\t\treturn\n 300→\t} else if req.State == \"\" 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+{"parentUuid":"de9b01d3-2e31-411a-938e-0c99c9204886","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/commitJobService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"8b56c79f-de9a-4d8a-a5d0-0c28725410d9"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"16f0a124-a349-43c9-b827-a995fb5d376e","timestamp":"2026-03-16T10:18:52.697Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"16f0a124-a349-43c9-b827-a995fb5d376e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/go-co-op/gocron/v2\"\n 14→)\n 15→\n 16→func RegisterCommitJobService() {\n 17→\tvar frequency string\n 18→\tif Keys.CommitJobWorker != \"\" {\n 19→\t\tfrequency = Keys.CommitJobWorker\n 20→\t} else {\n 21→\t\tfrequency = \"2m\"\n 22→\t}\n 23→\n 24→\td, err := parseDuration(frequency)\n 25→\tif err != nil {\n 26→\t\tcclog.Errorf(\"RegisterCommitJobService: %v\", err)\n 27→\t\treturn\n 28→\t}\n 29→\n 30→\tcclog.Infof(\"register commitJob service with %s interval\", frequency)\n 31→\n 32→\ts.NewJob(gocron.DurationJob(d),\n 33→\t\tgocron.NewTask(\n 34→\t\t\tfunc() {\n 35→\t\t\t\tstart := time.Now()\n 36→\t\t\t\tcclog.Debugf(\"jobcache sync started at %s\\n\", start.Format(time.RFC3339))\n 37→\t\t\t\tjobs, _ := jobRepo.SyncJobs()\n 38→\t\t\t\trepository.CallJobStartHooks(jobs)\n 39→\t\t\t\tcclog.Debugf(\"jobcache sync and job callbacks are done and took %s\\n\", time.Since(start))\n 40→\t\t\t}))\n 41→}\n 42→"}]},"uuid":"ad4207db-30ea-473c-9763-0b212db62b2f","timestamp":"2026-03-16T10:18:52.699Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f7507017-4225-4c02-979d-0ff1692fe91c","timestamp":"2026-03-16T10:18:52.699Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f7507017-4225-4c02-979d-0ff1692fe91c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 120→\tfor _, node := range req.Nodes {\n 121→\t\tstate := determineState(node.States)\n 122→\t\thealthState := schema.MonitoringStateFailed\n 123→\t\tvar healthMetrics string\n 124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 125→\t\t\thealthState = result.State\n 126→\t\t\thealthMetrics = result.HealthMetrics\n 127→\t\t}\n 128→\t\tnodeState := schema.NodeStateDB{\n 129→\t\t\tTimeStamp: requestReceived,\n 130→\t\t\tNodeState: state,\n 131→\t\t\tCpusAllocated: node.CpusAllocated,\n 132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 133→\t\t\tGpusAllocated: node.GpusAllocated,\n 134→\t\t\tHealthState: healthState,\n 135→\t\t\tHealthMetrics: healthMetrics,\n 136→\t\t\tJobsRunning: node.JobsRunning,\n 137→\t\t}\n 138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 139→\t\t\tHostname: node.Hostname,\n 140→\t\t\tCluster: req.Cluster,\n 141→\t\t\tNodeState: &nodeState,\n 142→\t\t})\n 143→\t}\n 144→\n 145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n 147→\t}\n 148→\n 149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 150→}\n 151→"}]},"uuid":"9c0cfab7-e9bd-4969-b758-0f23af3316fb","timestamp":"2026-03-16T10:18:52.504Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","timestamp":"2026-03-16T10:18:52.723Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.749Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JosVmFqzYDA93aNdHQs2th","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d8545824-1bd7-405d-96bf-deb7db5c79cb"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"16133c4f-e6f2-4137-8f84-82593c680f07","timestamp":"2026-03-16T10:18:52.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"16133c4f-e6f2-4137-8f84-82593c680f07","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JosVmFqzYDA93aNdHQs2th","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"net/http\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 16→\t\"github.com/go-chi/chi/v5\"\n 17→)\n 18→\n 19→type APIReturnedUser struct {\n 20→\tUsername string `json:\"username\"`\n 21→\tName string `json:\"name\"`\n 22→\tRoles []string `json:\"roles\"`\n 23→\tEmail string `json:\"email\"`\n 24→\tProjects []string `json:\"projects\"`\n 25→}\n 26→\n 27→// getUsers godoc\n 28→// @summary Returns a list of users\n 29→// @tags User\n 30→// @description Returns a JSON-encoded list of users.\n 31→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 32→// @produce json\n 33→// @param not-just-user query bool true \"If returned list should contain all users or only users with additional special roles\"\n 34→// @success 200 {array} api.APIReturnedUser \"List of users returned successfully\"\n 35→// @failure 400 {string} string \"Bad Request\"\n 36→// @failure 401 {string} string \"Unauthorized\"\n 37→// @failure 403 {string} string \"Forbidden\"\n 38→// @failure 500 {string} string \"Internal Server Error\"\n 39→// @security ApiKeyAuth\n 40→// @router /api/users/ [get]\n 41→func (api *RestAPI) getUsers(rw http.ResponseWriter, r *http.Request) {\n 42→\t// SecuredCheck() only worked with TokenAuth: Removed\n 43→\n 44→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n 45→\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of users\"), http.StatusForbidden, rw)\n 46→\t\treturn\n 47→\t}\n 48→\n 49→\tusers, err := repository.GetUserRepository().ListUsers(r.URL.Query().Get(\"not-just-user\") == \"true\")\n 50→\tif err != nil {\n 51→\t\thandleError(fmt.Errorf(\"listing users failed: %w\", err), http.StatusInternalServerError, rw)\n 52→\t\treturn\n 53→\t}\n 54→\n 55→\trw.Header().Set(\"Content-Type\", \"application/json\")\n 56→\tif err := json.NewEncoder(rw).Encode(users); err != nil {\n 57→\t\tcclog.Errorf(\"Failed to encode users response: %v\", err)\n 58→\t}\n 59→}\n 60→\n 61→// updateUser godoc\n 62→// @summary Update user roles and projects\n 63→// @tags User\n 64→// @description Allows admins to add/remove roles and projects for a user\n 65→// @produce plain\n 66→// @param id path string true \"Username\"\n 67→// @param add-role formData string false \"Role to add\"\n 68→// @param remove-role formData string false \"Role to remove\"\n 69→// @param add-project formData string false \"Project to add\"\n 70→// @param remove-project formData string false \"Project to remove\"\n 71→// @success 200 {string} string \"Success message\"\n 72→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 73→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity\"\n 74→// @security ApiKeyAuth\n 75→// @router /api/user/{id} [post]\n 76→func (api *RestAPI) updateUser(rw http.ResponseWriter, r *http.Request) {\n 77→\t// SecuredCheck() only worked with TokenAuth: Removed\n 78→\n 79→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n 80→\t\thandleError(fmt.Errorf(\"only admins are allowed to update a user\"), http.StatusForbidden, rw)\n 81→\t\treturn\n 82→\t}\n 83→\n 84→\t// Get Values\n 85→\tnewrole := r.FormValue(\"add-role\")\n 86→\tdelrole := r.FormValue(\"remove-role\")\n 87→\tnewproj := r.FormValue(\"add-project\")\n 88→\tdelproj := r.FormValue(\"remove-project\")\n 89→\n 90→\trw.Header().Set(\"Content-Type\", \"application/json\")\n 91→\n 92→\t// Handle role updates\n 93→\tif newrole != \"\" {\n 94→\t\tif err := repository.GetUserRepository().AddRole(r.Context(), chi.URLParam(r, \"id\"), newrole); err != nil {\n 95→\t\t\thandleError(fmt.Errorf(\"adding role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 96→\t\t\treturn\n 97→\t\t}\n 98→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Role Success\"}); err != nil {\n 99→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 100→\t\t}\n 101→\t} else if delrole != \"\" {\n 102→\t\tif err := repository.GetUserRepository().RemoveRole(r.Context(), chi.URLParam(r, \"id\"), delrole); err != nil {\n 103→\t\t\thandleError(fmt.Errorf(\"removing role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 104→\t\t\treturn\n 105→\t\t}\n 106→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Role Success\"}); err != nil {\n 107→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 108→\t\t}\n 109→\t} else if newproj != \"\" {\n 110→\t\tif err := repository.GetUserRepository().AddProject(r.Context(), chi.URLParam(r, \"id\"), newproj); err != nil {\n 111→\t\t\thandleError(fmt.Errorf(\"adding project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 112→\t\t\treturn\n 113→\t\t}\n 114→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Project Success\"}); err != nil {\n 115→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 116→\t\t}\n 117→\t} else if delproj != \"\" {\n 118→\t\tif err := repository.GetUserRepository().RemoveProject(r.Context(), chi.URLParam(r, \"id\"), delproj); err != nil {\n 119→\t\t\thandleError(fmt.Errorf(\"removing project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 120→\t\t\treturn\n 121→\t\t}\n 122→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Project Success\"}); err != nil {\n 123→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 124→\t\t}\n 125→\t} else {\n 126→\t\thandleError(fmt.Errorf(\"no operation specified: must provide add-role, remove-role, add-project, or remove-project\"), http.StatusBadRequest, rw)\n 127→\t}\n 128→}\n 129→\n 130→// createUser godoc\n 131→// @summary Create a new user\n 132→// @tags User\n 133→// @description Creates a new user with specified credentials and role\n 134→// @produce plain\n 135→// @param username formData string true \"Username\"\n 136→// @param password formData string false \"Password (not required for API users)\"\n 137→// @param role formData string true \"User role\"\n 138→// @param name formData string false \"Full name\"\n 139→// @param email formData string false \"Email address\"\n 140→// @param project formData string false \"Project (required for managers)\"\n 141→// @success 200 {string} string \"Success message\"\n 142→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 143→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 144→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity\"\n 145→// @security ApiKeyAuth\n 146→// @router /api/users/ [post]\n 147→func (api *RestAPI) createUser(rw http.ResponseWriter, r *http.Request) {\n 148→\t// SecuredCheck() only worked with TokenAuth: Removed\n 149→\n 150→\trw.Header().Set(\"Content-Type\", \"text/plain\")\n 151→\tme := repository.GetUserFromContext(r.Context())\n 152→\tif !me.HasRole(schema.RoleAdmin) {\n 153→\t\thandleError(fmt.Errorf(\"only admins are allowed to create new users\"), http.StatusForbidden, rw)\n 154→\t\treturn\n 155→\t}\n 156→\n 157→\tusername, password, role, name, email, project := r.FormValue(\"username\"),\n 158→\t\tr.FormValue(\"password\"), r.FormValue(\"role\"), r.FormValue(\"name\"),\n 159→\t\tr.FormValue(\"email\"), r.FormValue(\"project\")\n 160→\n 161→\t// Validate username length\n 162→\tif len(username) == 0 || len(username) > 100 {\n 163→\t\thandleError(fmt.Errorf(\"username must be between 1 and 100 characters\"), http.StatusBadRequest, rw)\n 164→\t\treturn\n 165→\t}\n 166→\n 167→\tif len(password) == 0 && role != schema.GetRoleString(schema.RoleAPI) {\n 168→\t\thandleError(fmt.Errorf(\"only API users are allowed to have a blank password (login will be impossible)\"), http.StatusBadRequest, rw)\n 169→\t\treturn\n 170→\t}\n 171→\n 172→\tif len(project) != 0 && role != schema.GetRoleString(schema.RoleManager) {\n 173→\t\thandleError(fmt.Errorf(\"only managers require a project (can be changed later)\"), http.StatusBadRequest, rw)\n 174→\t\treturn\n 175→\t} else if len(project) == 0 && role == schema.GetRoleString(schema.RoleManager) {\n 176→\t\thandleError(fmt.Errorf(\"managers require a project to manage (can be changed later)\"), http.StatusBadRequest, rw)\n 177→\t\treturn\n 178→\t}\n 179→\n 180→\tif err := repository.GetUserRepository().AddUser(&schema.User{\n 181→\t\tUsername: username,\n 182→\t\tName: name,\n 183→\t\tPassword: password,\n 184→\t\tEmail: email,\n 185→\t\tProjects: []string{project},\n 186→\t\tRoles: []string{role},\n 187→\t}); err != nil {\n 188→\t\thandleError(fmt.Errorf(\"adding user failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 189→\t\treturn\n 190→\t}\n 191→\n 192→\tfmt.Fprintf(rw, \"User %v successfully created!\\n\", username)\n 193→}\n 194→\n 195→// deleteUser godoc\n 196→// @summary Delete a user\n 197→// @tags User\n 198→// @description Deletes a user from the system\n 199→// @produce plain\n 200→// @param username formData string true \"Username to delete\""}]},"uuid":"cfb5b7b8-055b-4956-adeb-e63317b9b0c9","timestamp":"2026-03-16T10:18:52.751Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7d4200d1-0800-4d5c-be33-f38c9788a1c2","timestamp":"2026-03-16T10:18:52.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 12→\t\"github.com/go-co-op/gocron/v2\"\n 13→)\n 14→\n 15→func RegisterUpdateDurationWorker() {\n 16→\tvar frequency string\n 17→\tif Keys.DurationWorker != \"\" {\n 18→\t\tfrequency = Keys.DurationWorker\n 19→\t} else {\n 20→\t\tfrequency = \"5m\"\n 21→\t}\n 22→\n 23→\td, err := parseDuration(frequency)\n 24→\tif err != nil {\n 25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n 26→\t\treturn\n 27→\t}\n 28→\n 29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n 30→\n 31→\ts.NewJob(gocron.DurationJob(d),\n 32→\t\tgocron.NewTask(\n 33→\t\t\tfunc() {\n 34→\t\t\t\tstart := time.Now()\n 35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"math\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→\t\"github.com/go-co-op/gocron/v2\"\n 19→)\n 20→\n 21→func RegisterFootprintWorker() {\n 22→\tvar frequency string\n 23→\tif Keys.FootprintWorker != \"\" {\n 24→\t\tfrequency = Keys.FootprintWorker\n 25→\t} else {\n 26→\t\tfrequency = \"10m\"\n 27→\t}\n 28→\n 29→\td, err := parseDuration(frequency)\n 30→\tif err != nil {\n 31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n 32→\t\treturn\n 33→\t}\n 34→\n 35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n 36→\n 37→\ts.NewJob(gocron.DurationJob(d),\n 38→\t\tgocron.NewTask(\n 39→\t\t\tfunc() {\n 40→\t\t\t\ts := time.Now()\n 41→\t\t\t\tc := 0\n 42→\t\t\t\tce := 0\n 43→\t\t\t\tcl := 0\n 44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n 45→\n 46→\t\t\t\tfor _, cluster := range archive.Clusters {\n 47→\t\t\t\t\tsCluster := time.Now()\n 48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n 49→\t\t\t\t\tif err != nil {\n 50→\t\t\t\t\t\tcontinue\n 51→\t\t\t\t\t}\n 52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n 53→\t\t\t\t\t// - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n 54→\t\t\t\t\t// - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n 55→\t\t\t\t\tallMetrics := make([]string, 0)\n 56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n 57→\t\t\t\t\tfor _, mc := range metricConfigs {\n 58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n 59→\t\t\t\t\t}\n 60→\n 61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n 62→\n 63→\t\t\t\t\tfor _, job := range jobs {\n 64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n 65→\t\t\t\t\t\tcl++\n 66→\n 67→\t\t\t\t\t\tsJob := time.Now()\n 68→\n 69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n 70→\t\t\t\t\t\tif err != nil {\n 71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n 72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n 73→\t\t\t\t\t\t\tcontinue\n 74→\t\t\t\t\t\t}\n 75→\n 76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n 77→\t\t\t\t\t\tif err != nil {\n 78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n 79→\t\t\t\t\t\t\tce++\n 80→\t\t\t\t\t\t\tcontinue\n 81→\t\t\t\t\t\t}\n 82→\n 83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n 84→\n 85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n 86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n 87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n 88→\t\t\t\t\t\t\tif ok {\n 89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n 90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n 91→\t\t\t\t\t\t\t\t\tif ok {\n 92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n 93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n 94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n 95→\t\t\t\t\t\t\t\t\t}\n 96→\n 97→\t\t\t\t\t\t\t\t}\n 98→\t\t\t\t\t\t\t}\n 99→\n 100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n 101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n 102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n 103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n 104→\t\t\t\t\t\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n 105→\t\t\t\t\t\t\t\t},\n 106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n 107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n 108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n 109→\t\t\t\t\t\t\t}\n 110→\t\t\t\t\t\t}\n 111→\n 112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n 113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n 114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n 115→\t\t\t\t\t\tif err != nil {\n 116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n 117→\t\t\t\t\t\t\tce++\n 118→\t\t\t\t\t\t\tcontinue\n 119→\t\t\t\t\t\t}\n 120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n 121→\n 122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n 123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n 124→\t\t\t\t\t}\n 125→\n 126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n 127→\t\t\t\t\tif err != nil {\n 128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n 129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n 130→\t\t\t\t\t\tce += len(pendingStatements)\n 131→\t\t\t\t\t} else {\n 132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n 133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n 134→\t\t\t\t\t\t\tif err != nil {\n 135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n 136→\t\t\t\t\t\t\t\tce++\n 137→\t\t\t\t\t\t\t} else {\n 138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n 139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n 140→\t\t\t\t\t\t\t\tc++\n 141→\t\t\t\t\t\t\t}\n 142→\t\t\t\t\t\t}\n 143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n 144→\t\t\t\t\t}\n 145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n 146→\t\t\t\t}\n 147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n 148→\t\t\t}))\n 149→}\n 150→"}]},"uuid":"456413bc-a565-41c3-8e87-0176895a1829","timestamp":"2026-03-16T10:18:53.748Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","timestamp":"2026-03-16T10:18:53.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:53.883Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AgTvRhCb8gogxUyXufTPVG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/stopJobsExceedTime.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"275b6292-64a1-469e-aad2-b5ac3c937ab7"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","timestamp":"2026-03-16T10:18:53.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AgTvRhCb8gogxUyXufTPVG","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"runtime\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/go-co-op/gocron/v2\"\n 14→)\n 15→\n 16→func RegisterStopJobsExceedTime() {\n 17→\tcclog.Info(\"Register undead jobs service\")\n 18→\n 19→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n 20→\t\tgocron.NewTask(\n 21→\t\t\tfunc() {\n 22→\t\t\t\terr := jobRepo.StopJobsExceedingWalltimeBy(config.Keys.StopJobsExceedingWalltime)\n 23→\t\t\t\tif err != nil {\n 24→\t\t\t\t\tcclog.Warnf(\"Error while looking for jobs exceeding their walltime: %s\", err.Error())\n 25→\t\t\t\t}\n 26→\t\t\t\truntime.GC()\n 27→\t\t\t}))\n 28→}\n 29→"}]},"uuid":"03034ea9-4ee9-4f15-8b41-a1bc34ca5277","timestamp":"2026-03-16T10:18:53.886Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","timestamp":"2026-03-16T10:18:53.917Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.653Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01McQ9T6QxDeit77LG46688e","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"6ed43860-a4f9-409a-801f-725f1579de56"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","timestamp":"2026-03-16T10:18:54.653Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01McQ9T6QxDeit77LG46688e","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"24f743bb-f6b7-4740-81ba-80bbe330ba82","timestamp":"2026-03-16T10:18:54.661Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","timestamp":"2026-03-16T10:18:54.885Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.889Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012fdQFVceLrtsY7t3g5NiYW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"5821928a-64f5-4494-a6ab-4062a001ad17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2da4ab86-6292-4c47-b96c-9472738423a3","timestamp":"2026-03-16T10:18:54.889Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2da4ab86-6292-4c47-b96c-9472738423a3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fdQFVceLrtsY7t3g5NiYW","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n 96→\ttx, err := r.DB.Beginx()\n 97→\tif err != nil {\n 98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tdefer tx.Rollback()\n 102→\n 103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 104→\t_, err = tx.Exec(\n 105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 106→\tif err != nil {\n 107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n 112→\tif err != nil {\n 113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 114→\t\treturn nil, err\n 115→\t}\n 116→\n 117→\tif err := tx.Commit(); err != nil {\n 118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 123→\t// are from a different auto-increment sequence and must not be used to\n 124→\t// query the job table.\n 125→\tfor _, job := range jobs {\n 126→\t\tvar newID int64\n 127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {\n 158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 159→\t}\n 160→\n 161→\treturn newID, nil\n 162→}\n 163→\n 164→// Start inserts a new job in the table, returning the unique job ID.\n 165→// Statistics are not transfered!\n 166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 168→\tif err != nil {\n 169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 170→\t}\n 171→\n 172→\tjob.RawResources, err = json.Marshal(job.Resources)\n 173→\tif err != nil {\n 174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 175→\t}\n 176→\n 177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 178→\tif err != nil {\n 179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 180→\t}\n 181→\n 182→\treturn r.InsertJob(job)\n 183→}\n 184→\n 185→// StartDirect inserts a new job directly into the job table (not job_cache).\n 186→// Use this when the returned ID will immediately be used for job table\n 187→// operations such as adding tags.\n 188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 190→\tif err != nil {\n 191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 192→\t}\n 193→\n 194→\tjob.RawResources, err = json.Marshal(job.Resources)\n 195→\tif err != nil {\n 196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 197→\t}\n 198→\n 199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 200→\tif err != nil {\n 201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 202→\t}\n 203→\n 204→\treturn r.InsertJobDirect(job)\n 205→}\n 206→\n 207→// Stop updates the job with the database id jobId using the provided arguments.\n 208→func (r *JobRepository) Stop(\n 209→\tjobID int64,\n 210→\tduration int32,\n 211→\tstate schema.JobState,\n 212→\tmonitoringStatus int32,\n 213→) (err error) {\n 214→\t// Invalidate cache entries as job state is changing\n 215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 217→\n 218→\tstmt := sq.Update(\"job\").\n 219→\t\tSet(\"job_state\", state).\n 220→\t\tSet(\"duration\", duration).\n 221→\t\tSet(\"monitoring_status\", monitoringStatus).\n 222→\t\tWhere(\"job.id = ?\", jobID)\n 223→\n 224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 225→\treturn err\n 226→}\n 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+{"parentUuid":"6982164d-b24f-4e35-89a8-341592893f04","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X1wWyRjNqL5ZvzQvFVYAUx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"os\"\n 12→\t\"path/filepath\"\n 13→\t\"strconv\"\n 14→\t\"strings\"\n 15→\t\"time\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\t\"github.com/go-co-op/gocron/v2\"\n 22→)\n 23→\n 24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n 25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n 26→\tswitch cfg.TargetKind {\n 27→\tcase \"s3\":\n 28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n 29→\t\t\tEndpoint: cfg.TargetEndpoint,\n 30→\t\t\tBucket: cfg.TargetBucket,\n 31→\t\t\tAccessKey: cfg.TargetAccessKey,\n 32→\t\t\tSecretKey: cfg.TargetSecretKey,\n 33→\t\t\tRegion: cfg.TargetRegion,\n 34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n 35→\t\t})\n 36→\tdefault:\n 37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n 38→\t}\n 39→}\n 40→\n 41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n 42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n 43→\tvar raw json.RawMessage\n 44→\tvar err error\n 45→\n 46→\tswitch cfg.TargetKind {\n 47→\tcase \"s3\":\n 48→\t\traw, err = json.Marshal(map[string]any{\n 49→\t\t\t\"kind\": \"s3\",\n 50→\t\t\t\"endpoint\": cfg.TargetEndpoint,\n 51→\t\t\t\"bucket\": cfg.TargetBucket,\n 52→\t\t\t\"access-key\": cfg.TargetAccessKey,\n 53→\t\t\t\"secret-key\": cfg.TargetSecretKey,\n 54→\t\t\t\"region\": cfg.TargetRegion,\n 55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n 56→\t\t})\n 57→\tdefault:\n 58→\t\traw, err = json.Marshal(map[string]string{\n 59→\t\t\t\"kind\": \"file\",\n 60→\t\t\t\"path\": cfg.TargetPath,\n 61→\t\t})\n 62→\t}\n 63→\tif err != nil {\n 64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n 65→\t}\n 66→\treturn archive.InitBackend(raw)\n 67→}\n 68→\n 69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n 70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n 71→\t// Transfer cluster configs for all clusters referenced by jobs\n 72→\tclustersDone := make(map[string]bool)\n 73→\tfor _, job := range jobs {\n 74→\t\tif clustersDone[job.Cluster] {\n 75→\t\t\tcontinue\n 76→\t\t}\n 77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n 78→\t\tif err != nil {\n 79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n 80→\t\t} else {\n 81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n 82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n 83→\t\t\t}\n 84→\t\t}\n 85→\t\tclustersDone[job.Cluster] = true\n 86→\t}\n 87→\n 88→\tfor _, job := range jobs {\n 89→\t\tmeta, err := src.LoadJobMeta(job)\n 90→\t\tif err != nil {\n 91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n 92→\t\t\tcontinue\n 93→\t\t}\n 94→\t\tdata, err := src.LoadJobData(job)\n 95→\t\tif err != nil {\n 96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n 97→\t\t\tcontinue\n 98→\t\t}\n 99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n 100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n 101→\t\t\tcontinue\n 102→\t\t}\n 103→\t}\n 104→\treturn nil\n 105→}\n 106→\n 107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n 108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n 109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n 110→\n 111→\t// Set cluster configs for all clusters referenced by jobs\n 112→\tclustersDone := make(map[string]bool)\n 113→\tfor _, job := range jobs {\n 114→\t\tif clustersDone[job.Cluster] {\n 115→\t\t\tcontinue\n 116→\t\t}\n 117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n 118→\t\tif err != nil {\n 119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n 120→\t\t} else {\n 121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n 122→\t\t}\n 123→\t\tclustersDone[job.Cluster] = true\n 124→\t}\n 125→\n 126→\tfor _, job := range jobs {\n 127→\t\tmeta, err := src.LoadJobMeta(job)\n 128→\t\tif err != nil {\n 129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n 130→\t\t\tcontinue\n 131→\t\t}\n 132→\t\tdata, err := src.LoadJobData(job)\n 133→\t\tif err != nil {\n 134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n 135→\t\t\tcontinue\n 136→\t\t}\n 137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n 138→\t\tif err != nil {\n 139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n 140→\t\t\tcontinue\n 141→\t\t}\n 142→\t\tif err := cw.AddJob(*row); err != nil {\n 143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n 144→\t\t\tcontinue\n 145→\t\t}\n 146→\t}\n 147→\n 148→\treturn cw.Close()\n 149→}\n 150→\n 151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n 152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n 153→\tarchive.GetHandle().CleanUp(jobs)\n 154→\n 155→\tif includeDB {\n 156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n 157→\t\tif err != nil {\n 158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n 159→\t\t} else {\n 160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n 161→\t\t}\n 162→\t\tif err = jobRepo.Optimize(); err != nil {\n 163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n 164→\t\t}\n 165→\t}\n 166→}\n 167→\n 168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n 169→func readCopyMarker(cfg Retention) int64 {\n 170→\tvar data []byte\n 171→\tvar err error\n 172→\n 173→\tswitch cfg.TargetKind {\n 174→\tcase \"s3\":\n 175→\t\t// For S3 we store the marker locally alongside the config\n 176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n 177→\tdefault:\n 178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n 179→\t}\n 180→\tif err != nil {\n 181→\t\treturn 0\n 182→\t}\n 183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n 184→\tif err != nil {\n 185→\t\treturn 0\n 186→\t}\n 187→\treturn ts\n 188→}\n 189→\n 190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n 191→func writeCopyMarker(cfg Retention, ts int64) {\n 192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n 193→\tvar err error\n 194→\n 195→\tswitch cfg.TargetKind {\n 196→\tcase \"s3\":\n 197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n 198→\tdefault:\n 199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n 200→\t}\n 201→\tif err != nil {\n 202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n 203→\t}\n 204→}\n 205→\n 206→func copyMarkerPath(cfg Retention) string {\n 207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n 208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n 209→}\n 210→\n 211→func RegisterRetentionDeleteService(cfg Retention) {\n 212→\tcclog.Info(\"Register retention delete service\")\n 213→\n 214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n 215→\t\tgocron.NewTask(\n 216→\t\t\tfunc() {\n 217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n 218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n 219→\t\t\t\tif err != nil {\n 220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n 221→\t\t\t\t\treturn\n 222→\t\t\t\t}\n 223→\t\t\t\tif len(jobs) == 0 {\n 224→\t\t\t\t\treturn\n 225→\t\t\t\t}\n 226→\n 227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n 228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n 229→\t\t\t}))\n 230→}\n 231→\n 232→func RegisterRetentionCopyService(cfg Retention) {\n 233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n 234→\n 235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 236→\tif maxFileSizeMB <= 0 {\n 237→\t\tmaxFileSizeMB = 512\n 238→\t}\n 239→\n 240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n 241→\t\tgocron.NewTask(\n 242→\t\t\tfunc() {\n 243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n 244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n 245→\n 246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n 247→\t\t\t\tif err != nil {\n 248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n 249→\t\t\t\t\treturn\n 250→\t\t\t\t}\n 251→\t\t\t\tif len(jobs) == 0 {\n 252→\t\t\t\t\treturn\n 253→\t\t\t\t}\n 254→\n 255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n 256→\t\t\t\tar := archive.GetHandle()\n 257→\n 258→\t\t\t\tswitch cfg.Format {\n 259→\t\t\t\tcase \"parquet\":\n 260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n 261→\t\t\t\t\tif err != nil {\n 262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n 263→\t\t\t\t\t\treturn\n 264→\t\t\t\t\t}\n 265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n 266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n 267→\t\t\t\t\t\treturn\n 268→\t\t\t\t\t}\n 269→\t\t\t\tdefault: // json\n 270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n 271→\t\t\t\t\tif err != nil {\n 272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n 273→\t\t\t\t\t\treturn\n 274→\t\t\t\t\t}\n 275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n 276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n 277→\t\t\t\t\t\treturn\n 278→\t\t\t\t\t}\n 279→\t\t\t\t}\n 280→\n 281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n 282→\t\t\t}))\n 283→}\n 284→\n 285→func RegisterRetentionMoveService(cfg Retention) {\n 286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n 287→\n 288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 289→\tif maxFileSizeMB <= 0 {\n 290→\t\tmaxFileSizeMB = 512\n 291→\t}\n 292→\n 293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n 294→\t\tgocron.NewTask(\n 295→\t\t\tfunc() {\n 296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n 297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n 298→\t\t\t\tif err != nil {\n 299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n 300→\t\t\t\t\treturn\n 301→\t\t\t\t}\n 302→\t\t\t\tif len(jobs) == 0 {\n 303→\t\t\t\t\treturn\n 304→\t\t\t\t}\n 305→\n 306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n 307→\t\t\t\tar := archive.GetHandle()\n 308→\n 309→\t\t\t\tswitch cfg.Format {\n 310→\t\t\t\tcase \"parquet\":\n 311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n 312→\t\t\t\t\tif err != nil {\n 313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n 314→\t\t\t\t\t\treturn\n 315→\t\t\t\t\t}\n 316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n 317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n 318→\t\t\t\t\t\treturn\n 319→\t\t\t\t\t}\n 320→\t\t\t\tdefault: // json\n 321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n 322→\t\t\t\t\tif err != nil {\n 323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n 324→\t\t\t\t\t\treturn\n 325→\t\t\t\t\t}\n 326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n 327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n 328→\t\t\t\t\t\treturn\n 329→\t\t\t\t\t}\n 330→\t\t\t\t}\n 331→\n 332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n 333→\t\t\t}))\n 334→}\n 335→"}]},"uuid":"4ce7a245-5605-466c-805e-7afe98a3455e","timestamp":"2026-03-16T10:18:55.266Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"55872396-17aa-4333-950b-7dac1e007190","timestamp":"2026-03-16T10:18:55.267Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"55872396-17aa-4333-950b-7dac1e007190","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:55.291Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"e50dbc96-7cab-449e-b70e-ed6326e765ca"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","timestamp":"2026-03-16T10:18:55.291Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue\n 151→\t\t\t}\n 152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n 153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n 154→\t\t\t\tarchivePending.Done()\n 155→\t\t\t\tcontinue\n 156→\t\t\t}\n 157→\t\t\t// Update the jobs database entry one last time:\n 158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n 159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n 160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n 161→\t\t\t\tarchivePending.Done()\n 162→\t\t\t\tcontinue\n 163→\t\t\t}\n 164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n 165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n 166→\n 167→\t\t\trepository.CallJobStopHooks(job)\n 168→\t\t\tarchivePending.Done()\n 169→\t\t}\n 170→\t}\n 171→}\n 172→\n 173→// TriggerArchiving queues a job for asynchronous archiving.\n 174→//\n 175→// This function should be called when a job completes (stops) to archive its\n 176→// metric data from the metric store to the configured archive backend.\n 177→//\n 178→// The function:\n 179→// 1. Increments the pending job counter (WaitGroup)\n 180→// 2. Sends the job to the archiving channel (buffered, capacity 128)\n 181→// 3. Returns immediately (non-blocking unless channel is full)\n 182→//\n 183→// The actual archiving is performed asynchronously by the worker goroutine.\n 184→// Upon completion, the worker will decrement the pending counter.\n 185→//\n 186→// Panics if Start() has not been called first.\n 187→func TriggerArchiving(job *schema.Job) {\n 188→\tif archiveChannel == nil {\n 189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n 190→\t}\n 191→\n 192→\tarchivePending.Add(1)\n 193→\tarchiveChannel <- job\n 194→}\n 195→\n 196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n 197→//\n 198→// The shutdown process:\n 199→// 1. Closes archiveChannel - no new jobs will be accepted\n 200→// 2. Waits for pending jobs to complete (up to timeout duration)\n 201→// 3. If timeout is exceeded:\n 202→// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n 203→// - Returns error indicating timeout\n 204→// 4. Waits for worker goroutine to exit cleanly\n 205→//\n 206→// Parameters:\n 207→// - timeout: Maximum duration to wait for pending jobs to complete\n 208→// (recommended: 10-30 seconds for production)\n 209→//\n 210→// Returns:\n 211→// - nil if all jobs completed within timeout\n 212→// - error if timeout was exceeded (some jobs may not have been archived)\n 213→//\n 214→// Jobs that don't complete within the timeout will be marked as failed.\n 215→// The function always ensures the worker goroutine exits before returning.\n 216→//\n 217→// Example:\n 218→//\n 219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 220→//\t log.Printf(\"Some jobs did not complete: %v\", err)\n 221→//\t}\n 222→func Shutdown(timeout time.Duration) error {\n 223→\tcclog.Info(\"Initiating archiver shutdown...\")\n 224→\n 225→\t// Close channel to signal no more jobs will be accepted\n 226→\tclose(archiveChannel)\n 227→\n 228→\t// Create a channel to signal when all jobs are done\n 229→\tdone := make(chan struct{})\n 230→\tgo func() {\n 231→\t\tarchivePending.Wait()\n 232→\t\tclose(done)\n 233→\t}()\n 234→\n 235→\t// Wait for jobs to complete or timeout\n 236→\tselect {\n 237→\tcase <-done:\n 238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n 239→\t\t// Wait for worker to exit\n 240→\t\t<-workerDone\n 241→\t\treturn nil\n 242→\tcase <-time.After(timeout):\n 243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n 244→\t\t// Cancel any ongoing operations\n 245→\t\tshutdownCancel()\n 246→\t\t// Wait for worker to exit\n 247→\t\t<-workerDone\n 248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n 249→\t}\n 250→}\n 251→"}]},"uuid":"405ee9d5-6fd9-4bdf-bc8f-17596319c6ae","timestamp":"2026-03-16T10:18:55.304Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","timestamp":"2026-03-16T10:18:55.305Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JCpxD2KwaECyWX3YUBodAj","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"089401ce-0cb2-4e92-9555-abb914967adc","timestamp":"2026-03-16T10:18:55.322Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","timestamp":"2026-03-16T10:18:55.323Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:55.468Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ex2gkgfgbpx5C4a571YE6W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/compressionService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":4310,"cache_read_input_tokens":28414,"cache_creation":{"ephemeral_5m_input_tokens":4310,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7DKruRbtuqWpQiDsg","uuid":"eb8fbc93-e6ed-43c2-a407-a9bf7af388b4"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","timestamp":"2026-03-16T10:18:55.469Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\t\"github.com/go-co-op/gocron/v2\"\n 15→)\n 16→\n 17→func RegisterCompressionService(compressOlderThan int) {\n 18→\tcclog.Info(\"Register compression service\")\n 19→\n 20→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n 21→\t\tgocron.NewTask(\n 22→\t\t\tfunc() {\n 23→\t\t\t\tvar jobs []*schema.Job\n 24→\t\t\t\tvar err error\n 25→\n 26→\t\t\t\tar := archive.GetHandle()\n 27→\t\t\t\tstartTime := time.Now().Unix() - int64(compressOlderThan*24*3600)\n 28→\t\t\t\tlastTime := ar.CompressLast(startTime)\n 29→\t\t\t\tif startTime == lastTime {\n 30→\t\t\t\t\tcclog.Info(\"Compression Service - Complete archive run\")\n 31→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(0, startTime, \"none\")\n 32→\n 33→\t\t\t\t} else {\n 34→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(lastTime, startTime, \"none\")\n 35→\t\t\t\t}\n 36→\n 37→\t\t\t\tif err != nil {\n 38→\t\t\t\t\tcclog.Warnf(\"Error while looking for compression jobs: %v\", err)\n 39→\t\t\t\t}\n 40→\t\t\t\tar.Compress(jobs)\n 41→\t\t\t}))\n 42→}\n 43→"}]},"uuid":"e8f53165-482b-4703-b747-9a21f952a933","timestamp":"2026-03-16T10:18:55.473Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","timestamp":"2026-03-16T10:18:55.856Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:55.869Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ex2gkgfgbpx5C4a571YE6W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/ldapSyncService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":4310,"cache_read_input_tokens":28414,"cache_creation":{"ephemeral_5m_input_tokens":4310,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7DKruRbtuqWpQiDsg","uuid":"839a7d19-540d-4ecc-8646-f72841ed916f"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3cffaa12-8024-4952-893e-b91413d32eab","timestamp":"2026-03-16T10:18:55.870Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3cffaa12-8024-4952-893e-b91413d32eab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/go-co-op/gocron/v2\"\n 14→)\n 15→\n 16→func RegisterLdapSyncService(ds string) {\n 17→\tinterval, err := parseDuration(ds)\n 18→\tif err != nil {\n 19→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n 20→\t\t\tds)\n 21→\t\treturn\n 22→\t}\n 23→\n 24→\tauth := auth.GetAuthInstance()\n 25→\n 26→\tcclog.Infof(\"register ldap sync service with %s interval\", ds)\n 27→\n 28→\ts.NewJob(gocron.DurationJob(interval),\n 29→\t\tgocron.NewTask(\n 30→\t\t\tfunc() {\n 31→\t\t\t\tt := time.Now()\n 32→\t\t\t\tcclog.Infof(\"ldap sync started at %s\", t.Format(time.RFC3339))\n 33→\t\t\t\tif err := auth.LdapAuth.Sync(); err != nil {\n 34→\t\t\t\t\tcclog.Errorf(\"ldap sync failed: %s\", err.Error())\n 35→\t\t\t\t}\n 36→\t\t\t}))\n 37→}\n 38→"}]},"uuid":"1c60d702-e4b8-4cc4-ace0-ddc6515334ec","timestamp":"2026-03-16T10:18:55.874Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","timestamp":"2026-03-16T10:18:55.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.078Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ex2gkgfgbpx5C4a571YE6W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018XBW6RLSbwQd7oRNJo45a6","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/nodestateRetentionService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":4310,"cache_read_input_tokens":28414,"cache_creation":{"ephemeral_5m_input_tokens":4310,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7DKruRbtuqWpQiDsg","uuid":"690aa59b-c151-44da-9e73-996dc5681f14"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"59f93677-f986-4c75-b29e-521a1699c568","timestamp":"2026-03-16T10:18:56.078Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"59f93677-f986-4c75-b29e-521a1699c568","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XBW6RLSbwQd7oRNJo45a6","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/go-co-op/gocron/v2\"\n 16→)\n 17→\n 18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n 19→\tcclog.Info(\"Register node state retention delete service\")\n 20→\n 21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n 22→\t\tgocron.NewTask(\n 23→\t\t\tfunc() {\n 24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n 25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n 26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n 27→\t\t\t\tif err != nil {\n 28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n 29→\t\t\t\t} else if cnt > 0 {\n 30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n 31→\t\t\t\t}\n 32→\t\t\t}))\n 33→}\n 34→\n 35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n 36→\tcclog.Info(\"Register node state retention move service\")\n 37→\n 38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 39→\tif maxFileSizeMB <= 0 {\n 40→\t\tmaxFileSizeMB = 128\n 41→\t}\n 42→\n 43→\tageHours := cfg.Age\n 44→\tif ageHours <= 0 {\n 45→\t\tageHours = 24\n 46→\t}\n 47→\n 48→\tvar target pqarchive.ParquetTarget\n 49→\tvar err error\n 50→\n 51→\tswitch cfg.TargetKind {\n 52→\tcase \"s3\":\n 53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n 54→\t\t\tEndpoint: cfg.TargetEndpoint,\n 55→\t\t\tBucket: cfg.TargetBucket,\n 56→\t\t\tAccessKey: cfg.TargetAccessKey,\n 57→\t\t\tSecretKey: cfg.TargetSecretKey,\n 58→\t\t\tRegion: cfg.TargetRegion,\n 59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n 60→\t\t})\n 61→\tdefault:\n 62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n 63→\t}\n 64→\n 65→\tif err != nil {\n 66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n 67→\t\treturn\n 68→\t}\n 69→\n 70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n 71→\t\tgocron.NewTask(\n 72→\t\t\tfunc() {\n 73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n 74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n 75→\n 76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n 77→\t\t\t\tif err != nil {\n 78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n 79→\t\t\t\t\treturn\n 80→\t\t\t\t}\n 81→\t\t\t\tif len(rows) == 0 {\n 82→\t\t\t\t\treturn\n 83→\t\t\t\t}\n 84→\n 85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n 86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n 87→\n 88→\t\t\t\tfor _, ns := range rows {\n 89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n 90→\t\t\t\t\t\tTimeStamp: ns.TimeStamp,\n 91→\t\t\t\t\t\tNodeState: ns.NodeState,\n 92→\t\t\t\t\t\tHealthState: ns.HealthState,\n 93→\t\t\t\t\t\tHealthMetrics: ns.HealthMetrics,\n 94→\t\t\t\t\t\tCpusAllocated: int32(ns.CpusAllocated),\n 95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n 96→\t\t\t\t\t\tGpusAllocated: int32(ns.GpusAllocated),\n 97→\t\t\t\t\t\tJobsRunning: int32(ns.JobsRunning),\n 98→\t\t\t\t\t\tHostname: ns.Hostname,\n 99→\t\t\t\t\t\tCluster: ns.Cluster,\n 100→\t\t\t\t\t\tSubCluster: ns.SubCluster,\n 101→\t\t\t\t\t}\n 102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n 103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n 104→\t\t\t\t\t\tcontinue\n 105→\t\t\t\t\t}\n 106→\t\t\t\t}\n 107→\n 108→\t\t\t\tif err := pw.Close(); err != nil {\n 109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n 110→\t\t\t\t\treturn\n 111→\t\t\t\t}\n 112→\n 113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n 114→\t\t\t\tif err != nil {\n 115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n 116→\t\t\t\t} else {\n 117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n 118→\t\t\t\t}\n 119→\t\t\t}))\n 120→}\n 121→"}]},"uuid":"f9762894-9465-4606-966b-0a21d330a11f","timestamp":"2026-03-16T10:18:56.082Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","timestamp":"2026-03-16T10:18:56.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.784Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"194e08c0-ad26-4440-9b3e-74cae396fccc"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"ae566622-dd01-4566-aeba-40ddd690b103","timestamp":"2026-03-16T10:18:56.785Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ae566622-dd01-4566-aeba-40ddd690b103","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue"}]},"uuid":"6d86fae3-2604-4302-a1b1-5ca9072c68a7","timestamp":"2026-03-16T10:18:56.805Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","timestamp":"2026-03-16T10:18:56.999Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.060Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BCix2A6sVowtVAWUTzyezG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d6a67665-3003-4c6d-bf9d-60368843aaba"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","timestamp":"2026-03-16T10:18:57.060Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BCix2A6sVowtVAWUTzyezG","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package importer\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 20→)\n 21→\n 22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n 23→//\n 24→// The flag format is: \":[,:,...]\"\n 25→//\n 26→// For each job pair, this function:\n 27→// 1. Reads and validates the metadata JSON file (schema.Job)\n 28→// 2. Reads and validates the job data JSON file (schema.JobData)\n 29→// 3. Enriches the job with calculated footprints and energy metrics\n 30→// 4. Validates the job using SanityChecks()\n 31→// 5. Imports the job into the archive\n 32→// 6. Inserts the job into the database with associated tags\n 33→//\n 34→// Schema validation is performed if config.Keys.Validate is true.\n 35→//\n 36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n 37→// The function stops processing on the first error encountered.\n 38→func HandleImportFlag(flag string) error {\n 39→\tr := repository.GetJobRepository()\n 40→\n 41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n 42→\t\tfiles := strings.Split(pair, \":\")\n 43→\t\tif len(files) != 2 {\n 44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n 45→\t\t}\n 46→\n 47→\t\traw, err := os.ReadFile(files[0])\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n 50→\t\t\treturn err\n 51→\t\t}\n 52→\n 53→\t\tif config.Keys.Validate {\n 54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n 55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n 56→\t\t\t}\n 57→\t\t}\n 58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n 59→\t\tdec.DisallowUnknownFields()\n 60→\t\tjob := schema.Job{\n 61→\t\t\tShared: \"none\",\n 62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 63→\t\t}\n 64→\t\tif err = dec.Decode(&job); err != nil {\n 65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n 66→\t\t\treturn err\n 67→\t\t}\n 68→\n 69→\t\traw, err = os.ReadFile(files[1])\n 70→\t\tif err != nil {\n 71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n 72→\t\t\treturn err\n 73→\t\t}\n 74→\n 75→\t\tif config.Keys.Validate {\n 76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n 77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n 78→\t\t\t}\n 79→\t\t}\n 80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n 81→\t\tdec.DisallowUnknownFields()\n 82→\t\tjobData := schema.JobData{}\n 83→\t\tif err = dec.Decode(&jobData); err != nil {\n 84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n 85→\t\t\treturn err\n 86→\t\t}\n 87→\n 88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 89→\n 90→\t\tif err = enrichJobMetadata(&job); err != nil {\n 91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n 92→\t\t\treturn err\n 93→\t\t}\n 94→\n 95→\t\tif err = SanityChecks(&job); err != nil {\n 96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n 101→\t\t\tcclog.Error(\"Error while importing job\")\n 102→\t\t\treturn err\n 103→\t\t}\n 104→\n 105→\t\tid, err := r.InsertJobDirect(&job)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Warn(\"Error while job db insert\")\n 108→\t\t\treturn err\n 109→\t\t}\n 110→\n 111→\t\tfor _, tag := range job.Tags {\n 112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n 113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n 114→\t\t\t\treturn err\n 115→\t\t\t}\n 116→\t\t}\n 117→\n 118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n 119→\t}\n 120→\treturn nil\n 121→}\n 122→"}]},"uuid":"ca22fa68-3ed2-48a6-821f-5cc1b1f22757","timestamp":"2026-03-16T10:18:57.071Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","timestamp":"2026-03-16T10:18:57.073Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.080Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FPFctn7YD2bboFg9SPrNnU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"558e9215-f4cd-48cd-9bbd-41a1b069f026"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","timestamp":"2026-03-16T10:18:57.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FPFctn7YD2bboFg9SPrNnU","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package archiver\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"math\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 13→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 16→)\n 17→\n 18→// ArchiveJob archives a completed job's metric data to the configured archive backend.\n 19→//\n 20→// This function performs the following operations:\n 21→// 1. Loads all metric data for the job from the metric data repository\n 22→// 2. Calculates job-level statistics (avg, min, max) for each metric\n 23→// 3. Stores the job metadata and metric data to the archive backend\n 24→//\n 25→// Metric data is retrieved at the highest available resolution (typically 60s)\n 26→// for the following scopes:\n 27→// - Node scope (always)\n 28→// - Core scope (for jobs with ≤8 nodes, to reduce data volume)\n 29→// - Accelerator scope (if job used accelerators)\n 30→//\n 31→// The function respects context cancellation. If ctx is cancelled (e.g., during\n 32→// shutdown timeout), the operation will be interrupted and return an error.\n 33→//\n 34→// Parameters:\n 35→// - job: The job to archive (must be a completed job)\n 36→// - ctx: Context for cancellation and timeout control\n 37→//\n 38→// Returns:\n 39→// - *schema.Job with populated Statistics field\n 40→// - error if data loading or archiving fails\n 41→//\n 42→// If config.Keys.DisableArchive is true, only job statistics are calculated\n 43→// and returned (no data is written to archive backend).\n 44→func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {\n 45→\tallMetrics := make([]string, 0)\n 46→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 47→\tfor _, mc := range metricConfigs {\n 48→\t\tallMetrics = append(allMetrics, mc.Name)\n 49→\t}\n 50→\n 51→\tscopes := []schema.MetricScope{schema.MetricScopeNode}\n 52→\t// FIXME: Add a config option for this\n 53→\tif job.NumNodes <= 8 {\n 54→\t\t// This will add the native scope if core scope is not available\n 55→\t\tscopes = append(scopes, schema.MetricScopeCore)\n 56→\t}\n 57→\n 58→\tif job.NumAcc > 0 {\n 59→\t\tscopes = append(scopes, schema.MetricScopeAccelerator)\n 60→\t}\n 61→\n 62→\tjobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)\n 63→\tif err != nil {\n 64→\t\tcclog.Error(\"Error wile loading job data for archiving\")\n 65→\t\treturn nil, err\n 66→\t}\n 67→\n 68→\tjob.Statistics = make(map[string]schema.JobStatistics)\n 69→\n 70→\tfor metric, data := range jobData {\n 71→\t\tavg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n 72→\t\tnodeData, ok := data[\"node\"]\n 73→\t\tif !ok {\n 74→\t\t\t// This should never happen ?\n 75→\t\t\tcontinue\n 76→\t\t}\n 77→\n 78→\t\tfor _, series := range nodeData.Series {\n 79→\t\t\tavg += series.Statistics.Avg\n 80→\t\t\tmin = math.Min(min, series.Statistics.Min)\n 81→\t\t\tmax = math.Max(max, series.Statistics.Max)\n 82→\t\t}\n 83→\n 84→\t\t// Round AVG Result to 2 Digits\n 85→\t\tjob.Statistics[metric] = schema.JobStatistics{\n 86→\t\t\tUnit: schema.Unit{\n 87→\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n 88→\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n 89→\t\t\t},\n 90→\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n 91→\t\t\tMin: min,\n 92→\t\t\tMax: max,\n 93→\t\t}\n 94→\t}\n 95→\n 96→\treturn job, archive.GetHandle().ImportJob(job, &jobData)\n 97→}\n 98→"}]},"uuid":"0f97dce8-97fa-47db-8e68-42c8ecf0394e","timestamp":"2026-03-16T10:18:57.083Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","timestamp":"2026-03-16T10:18:57.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.329Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011rJJPwd34bsw3YNZxcu7rN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d77736fa-a88d-4307-95f5-09fbe08a2e5b"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","timestamp":"2026-03-16T10:18:57.330Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011rJJPwd34bsw3YNZxcu7rN","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package importer provides functionality for importing job data into the ClusterCockpit database.\n 7→//\n 8→// The package supports two primary use cases:\n 9→// 1. Bulk database initialization from archived jobs via InitDB()\n 10→// 2. Individual job import from file pairs via HandleImportFlag()\n 11→//\n 12→// Both operations enrich job metadata by calculating footprints and energy metrics\n 13→// before persisting to the database.\n 14→package importer\n 15→\n 16→import (\n 17→\t\"encoding/json\"\n 18→\t\"fmt\"\n 19→\t\"math\"\n 20→\t\"strings\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 27→)\n 28→\n 29→const (\n 30→\taddTagQuery = \"INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)\"\n 31→\tsetTagQuery = \"INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)\"\n 32→)\n 33→\n 34→// InitDB reinitializes the job database from archived job data.\n 35→//\n 36→// This function performs the following operations:\n 37→// 1. Flushes existing job, tag, and jobtag tables\n 38→// 2. Iterates through all jobs in the archive\n 39→// 3. Enriches each job with calculated footprints and energy metrics\n 40→// 4. Inserts jobs and tags into the database in batched transactions\n 41→//\n 42→// Jobs are processed in batches of 100 for optimal performance. The function\n 43→// continues processing even if individual jobs fail, logging errors and\n 44→// returning a summary at the end.\n 45→//\n 46→// Returns an error if database initialization, transaction management, or\n 47→// critical operations fail. Individual job failures are logged but do not\n 48→// stop the overall import process.\n 49→func InitDB() error {\n 50→\tr := repository.GetJobRepository()\n 51→\tif err := r.Flush(); err != nil {\n 52→\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n 53→\t\treturn err\n 54→\t}\n 55→\tstarttime := time.Now()\n 56→\tcclog.Print(\"Building job table...\")\n 57→\n 58→\tt, err := r.TransactionInit()\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while initializing SQL transactions\")\n 61→\t\treturn err\n 62→\t}\n 63→\ttags := make(map[string]int64)\n 64→\n 65→\t// Not using cclog.Print because we want the line to end with `\\r` and\n 66→\t// this function is only ever called when a special command line flag\n 67→\t// is passed anyways.\n 68→\tfmt.Printf(\"%d jobs inserted...\\r\", 0)\n 69→\n 70→\tar := archive.GetHandle()\n 71→\ti := 0\n 72→\terrorOccured := 0\n 73→\n 74→\tfor jobContainer := range ar.Iter(false) {\n 75→\n 76→\t\tjobMeta := jobContainer.Meta\n 77→\t\tif jobMeta == nil {\n 78→\t\t\tcclog.Warn(\"skipping job with nil metadata\")\n 79→\t\t\terrorOccured++\n 80→\t\t\tcontinue\n 81→\t\t}\n 82→\n 83→\t\t// Bundle 100 inserts into one transaction for better performance\n 84→\t\tif i%100 == 0 {\n 85→\t\t\tif i > 0 {\n 86→\t\t\t\tif err := t.Commit(); err != nil {\n 87→\t\t\t\t\tcclog.Errorf(\"transaction commit error: %v\", err)\n 88→\t\t\t\t\treturn err\n 89→\t\t\t\t}\n 90→\t\t\t\t// Start a new transaction for the next batch\n 91→\t\t\t\tt, err = r.TransactionInit()\n 92→\t\t\t\tif err != nil {\n 93→\t\t\t\t\tcclog.Errorf(\"transaction init error: %v\", err)\n 94→\t\t\t\t\treturn err\n 95→\t\t\t\t}\n 96→\t\t\t}\n 97→\t\t\tfmt.Printf(\"%d jobs inserted...\\r\", i)\n 98→\t\t}\n 99→\n 100→\t\tjobMeta.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 101→\n 102→\t\tif err := enrichJobMetadata(jobMeta); err != nil {\n 103→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n 104→\t\t\terrorOccured++\n 105→\t\t\tcontinue\n 106→\t\t}\n 107→\n 108→\t\tif err := SanityChecks(jobMeta); err != nil {\n 109→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n 110→\t\t\terrorOccured++\n 111→\t\t\tcontinue\n 112→\t\t}\n 113→\n 114→\t\tid, jobErr := r.TransactionAddNamed(t,\n 115→\t\t\trepository.NamedJobInsert, jobMeta)\n 116→\t\tif jobErr != nil {\n 117→\t\t\tcclog.Errorf(\"repository initDB(): %v\", jobErr)\n 118→\t\t\terrorOccured++\n 119→\t\t\tcontinue\n 120→\t\t}\n 121→\n 122→\t\t// Job successfully inserted, increment counter\n 123→\t\ti += 1\n 124→\n 125→\t\tfor _, tag := range jobMeta.Tags {\n 126→\t\t\ttagstr := tag.Name + \":\" + tag.Type\n 127→\t\t\ttagID, ok := tags[tagstr]\n 128→\t\t\tif !ok {\n 129→\t\t\t\tvar err error\n 130→\t\t\t\ttagID, err = r.TransactionAdd(t,\n 131→\t\t\t\t\taddTagQuery,\n 132→\t\t\t\t\ttag.Name, tag.Type)\n 133→\t\t\t\tif err != nil {\n 134→\t\t\t\t\tcclog.Errorf(\"Error adding tag: %v\", err)\n 135→\t\t\t\t\terrorOccured++\n 136→\t\t\t\t\tcontinue\n 137→\t\t\t\t}\n 138→\t\t\t\ttags[tagstr] = tagID\n 139→\t\t\t}\n 140→\n 141→\t\t\tr.TransactionAdd(t,\n 142→\t\t\t\tsetTagQuery,\n 143→\t\t\t\tid, tagID)\n 144→\t\t}\n 145→\t}\n 146→\n 147→\tif errorOccured > 0 {\n 148→\t\tcclog.Warnf(\"Error in import of %d jobs!\", errorOccured)\n 149→\t}\n 150→\n 151→\tr.TransactionEnd(t)\n 152→\tcclog.Infof(\"A total of %d jobs have been registered in %.3f seconds.\", i, time.Since(starttime).Seconds())\n 153→\treturn nil\n 154→}\n 155→\n 156→// enrichJobMetadata calculates and populates job footprints, energy metrics, and serialized fields.\n 157→//\n 158→// This function performs the following enrichment operations:\n 159→// 1. Calculates job footprint metrics based on the subcluster configuration\n 160→// 2. Computes energy footprint and total energy consumption in kWh\n 161→// 3. Marshals footprints, resources, and metadata into JSON for database storage\n 162→//\n 163→// The function expects the job's MonitoringStatus and SubCluster to be already set.\n 164→// Energy calculations convert power metrics (Watts) to energy (kWh) using the formula:\n 165→//\n 166→//\tEnergy (kWh) = (Power (W) * Duration (s) / 3600) / 1000\n 167→//\n 168→// Returns an error if subcluster retrieval, metric indexing, or JSON marshaling fails.\n 169→func enrichJobMetadata(job *schema.Job) error {\n 170→\tsc, err := archive.GetSubCluster(job.Cluster, job.SubCluster)\n 171→\tif err != nil {\n 172→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 173→\t\treturn err\n 174→\t}\n 175→\n 176→\tjob.Footprint = make(map[string]float64)\n 177→\n 178→\tfor _, fp := range sc.Footprint {\n 179→\t\tstatType := \"avg\"\n 180→\n 181→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n 182→\t\t\tstatType = sc.MetricConfig[i].Footprint\n 183→\t\t}\n 184→\n 185→\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n 186→\n 187→\t\tjob.Footprint[name] = repository.LoadJobStat(job, fp, statType)\n 188→\t}\n 189→\n 190→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 191→\tif err != nil {\n 192→\t\tcclog.Warn(\"Error while marshaling job footprint\")\n 193→\t\treturn err\n 194→\t}\n 195→\n 196→\tjob.EnergyFootprint = make(map[string]float64)\n 197→\n 198→\t// Total Job Energy Outside Loop\n 199→\ttotalEnergy := 0.0\n 200→\tfor _, fp := range sc.EnergyFootprint 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+{"parentUuid":"aa891431-52a8-45b4-9c57-2437200dddf9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012EPYaVpBxKQ7QQCci4VrHf","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package importer\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 20→)\n 21→\n 22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n 23→//\n 24→// The flag format is: \":[,:,...]\"\n 25→//\n 26→// For each job pair, this function:\n 27→// 1. Reads and validates the metadata JSON file (schema.Job)\n 28→// 2. Reads and validates the job data JSON file (schema.JobData)\n 29→// 3. Enriches the job with calculated footprints and energy metrics\n 30→// 4. Validates the job using SanityChecks()\n 31→// 5. Imports the job into the archive\n 32→// 6. Inserts the job into the database with associated tags\n 33→//\n 34→// Schema validation is performed if config.Keys.Validate is true.\n 35→//\n 36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n 37→// The function stops processing on the first error encountered.\n 38→func HandleImportFlag(flag string) error {\n 39→\tr := repository.GetJobRepository()\n 40→\n 41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n 42→\t\tfiles := strings.Split(pair, \":\")\n 43→\t\tif len(files) != 2 {\n 44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n 45→\t\t}\n 46→\n 47→\t\traw, err := os.ReadFile(files[0])\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n 50→\t\t\treturn err\n 51→\t\t}\n 52→\n 53→\t\tif config.Keys.Validate {\n 54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n 55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n 56→\t\t\t}\n 57→\t\t}\n 58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n 59→\t\tdec.DisallowUnknownFields()\n 60→\t\tjob := schema.Job{\n 61→\t\t\tShared: \"none\",\n 62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 63→\t\t}\n 64→\t\tif err = dec.Decode(&job); err != nil {\n 65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n 66→\t\t\treturn err\n 67→\t\t}\n 68→\n 69→\t\traw, err = os.ReadFile(files[1])\n 70→\t\tif err != nil {\n 71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n 72→\t\t\treturn err\n 73→\t\t}\n 74→\n 75→\t\tif config.Keys.Validate {\n 76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n 77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n 78→\t\t\t}\n 79→\t\t}\n 80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n 81→\t\tdec.DisallowUnknownFields()\n 82→\t\tjobData := schema.JobData{}\n 83→\t\tif err = dec.Decode(&jobData); err != nil {\n 84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n 85→\t\t\treturn err\n 86→\t\t}\n 87→\n 88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 89→\n 90→\t\tif err = enrichJobMetadata(&job); err != nil {\n 91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n 92→\t\t\treturn err\n 93→\t\t}\n 94→\n 95→\t\tif err = SanityChecks(&job); err != nil {\n 96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n 101→\t\t\tcclog.Error(\"Error while importing job\")\n 102→\t\t\treturn err\n 103→\t\t}\n 104→\n 105→\t\tid, err := r.InsertJobDirect(&job)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Warn(\"Error while job db insert\")\n 108→\t\t\treturn err\n 109→\t\t}\n 110→\n 111→\t\tfor _, tag := range job.Tags {\n 112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n 113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n 114→\t\t\t\treturn err\n 115→\t\t\t}\n 116→\t\t}\n 117→\n 118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n 119→\t}\n 120→\treturn nil\n 121→}\n 122→"}]},"uuid":"caa6d023-db8d-45b7-9f8b-bcecf261ee9b","timestamp":"2026-03-16T10:18:58.372Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","timestamp":"2026-03-16T10:18:58.392Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.630Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"d9916a4b-4d2e-4317-86ce-9538a79faa6d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"88660f4a-2f92-4c71-a5a2-bc232435ade9","timestamp":"2026-03-16T10:18:58.630Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"88660f4a-2f92-4c71-a5a2-bc232435ade9","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.653Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"c7f5103f-9410-4f83-a076-e0e40f661a33"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"093a7028-5f48-4791-8f33-45b30221ba4e","timestamp":"2026-03-16T10:18:58.653Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"093a7028-5f48-4791-8f33-45b30221ba4e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\n 10→\t\"github.com/jmoiron/sqlx\"\n 11→)\n 12→\n 13→// Transaction wraps a database transaction for job-related operations.\n 14→type Transaction struct {\n 15→\ttx *sqlx.Tx\n 16→}\n 17→\n 18→// TransactionInit begins a new transaction.\n 19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n 20→\ttx, err := r.DB.Beginx()\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n 23→\t}\n 24→\treturn &Transaction{tx: tx}, nil\n 25→}\n 26→\n 27→// Commit commits the transaction.\n 28→// After calling Commit, the transaction should not be used again.\n 29→func (t *Transaction) Commit() error {\n 30→\tif t.tx == nil {\n 31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n 32→\t}\n 33→\terr := t.tx.Commit()\n 34→\tt.tx = nil // Mark as completed\n 35→\tif err != nil {\n 36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n 37→\t}\n 38→\treturn nil\n 39→}\n 40→\n 41→// Rollback rolls back the transaction.\n 42→// It's safe to call Rollback on an already committed or rolled back transaction.\n 43→func (t *Transaction) Rollback() error {\n 44→\tif t.tx == nil {\n 45→\t\treturn nil // Already committed/rolled back\n 46→\t}\n 47→\terr := t.tx.Rollback()\n 48→\tt.tx = nil // Mark as completed\n 49→\tif err != nil {\n 50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// TransactionEnd commits the transaction.\n 56→// Deprecated: Use Commit() instead.\n 57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n 58→\treturn t.Commit()\n 59→}\n 60→\n 61→// TransactionAddNamed executes a named query within the transaction.\n 62→func (r *JobRepository) TransactionAddNamed(\n 63→\tt *Transaction,\n 64→\tquery string,\n 65→\targs ...any,\n 66→) (int64, error) {\n 67→\tif t.tx == nil {\n 68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 69→\t}\n 70→\n 71→\tres, err := t.tx.NamedExec(query, args)\n 72→\tif err != nil {\n 73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n 74→\t}\n 75→\n 76→\tid, err := res.LastInsertId()\n 77→\tif err != nil {\n 78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 79→\t}\n 80→\n 81→\treturn id, nil\n 82→}\n 83→\n 84→// TransactionAdd executes a query within the transaction.\n 85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n 86→\tif t.tx == nil {\n 87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 88→\t}\n 89→\n 90→\tres, err := t.tx.Exec(query, args...)\n 91→\tif err != nil {\n 92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n 93→\t}\n 94→\n 95→\tid, err := res.LastInsertId()\n 96→\tif err != nil {\n 97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 98→\t}\n 99→\n 100→\treturn id, nil\n 101→}\n 102→"}]},"uuid":"12ed7ae8-b6d8-46d9-bea3-1bb398d27b5f","timestamp":"2026-03-16T10:18:58.648Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","timestamp":"2026-03-16T10:18:58.689Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package api provides the REST API layer for ClusterCockpit.\n 7→// It handles HTTP requests for job management, user administration,\n 8→// cluster queries, node state updates, and metrics storage operations.\n 9→// The API supports both JWT token authentication and session-based authentication.\n 10→package api\n 11→\n 12→import (\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"io\"\n 16→\t\"net/http\"\n 17→\t\"os\"\n 18→\t\"path/filepath\"\n 19→\t\"strings\"\n 20→\t\"sync\"\n 21→\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 29→\t\"github.com/go-chi/chi/v5\"\n 30→)\n 31→\n 32→// @title ClusterCockpit REST API\n 33→// @version 1.0.0\n 34→// @description API for batch job control.\n 35→\n 36→// @contact.name ClusterCockpit Project\n 37→// @contact.url https://github.com/ClusterCockpit\n 38→// @contact.email support@clustercockpit.org\n 39→\n 40→// @license.name MIT License\n 41→// @license.url https://opensource.org/licenses/MIT\n 42→\n 43→// @host localhost:8080\n 44→\n 45→// @securityDefinitions.apikey ApiKeyAuth\n 46→// @in header\n 47→// @name X-Auth-Token\n 48→\n 49→const (\n 50→\tnoticeFilePath = \"./var/notice.txt\"\n 51→\tnoticeFilePerms = 0o644\n 52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n 53→)\n 54→\n 55→type RestAPI struct {\n 56→\tJobRepository *repository.JobRepository\n 57→\tAuthentication *auth.Authentication\n 58→\tMachineStateDir string\n 59→\t// RepositoryMutex protects job creation operations from race conditions\n 60→\t// when checking for duplicate jobs during startJob API calls.\n 61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n 62→\t// from creating duplicate entries in the database.\n 63→\tRepositoryMutex sync.Mutex\n 64→}\n 65→\n 66→// New creates and initializes a new RestAPI instance with configured dependencies.\n 67→func New() *RestAPI {\n 68→\treturn &RestAPI{\n 69→\t\tJobRepository: repository.GetJobRepository(),\n 70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n 71→\t\tAuthentication: auth.GetAuthInstance(),\n 72→\t}\n 73→}\n 74→\n 75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n 76→// These routes use JWT token authentication via the X-Auth-Token header.\n 77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n 78→\t// REST API Uses TokenAuth\n 79→\t// User List\n 80→\tr.Get(\"/users/\", api.getUsers)\n 81→\t// Cluster List\n 82→\tr.Get(\"/clusters/\", api.getClusters)\n 83→\t// Slurm node state\n 84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n 85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n 86→\t// Job Handler\n 87→\tif config.Keys.APISubjects == nil {\n 88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n 89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n 90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n 91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n 92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n 93→\t}\n 94→\tr.Get(\"/jobs/\", api.getJobs)\n 95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n 96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n 97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n 98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n 99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n 100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n 101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n 103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n 104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n 105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 107→\n 108→\tr.Delete(\"/tags/\", api.removeTags)\n 109→\n 110→\tif api.MachineStateDir != \"\" {\n 111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n 112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 114→\t}\n 115→}\n 116→\n 117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n 118→// These are limited endpoints for regular users with JWT token authentication.\n 119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n 120→\t// REST API Uses TokenAuth\n 121→\tr.Get(\"/jobs/\", api.getJobs)\n 122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 125→}\n 126→\n 127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n 128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n 129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n 130→\t// REST API Uses TokenAuth\n 131→\tr.Post(\"/free\", freeMetrics)\n 132→\tr.Post(\"/write\", writeMetrics)\n 133→\tr.Get(\"/debug\", debugMetrics)\n 134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n 135→\t// Same endpoints but with trailing slash\n 136→\tr.Post(\"/free/\", freeMetrics)\n 137→\tr.Post(\"/write/\", writeMetrics)\n 138→\tr.Get(\"/debug/\", debugMetrics)\n 139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n 140→}\n 141→\n 142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n 143→// These routes use session-based authentication and require admin privileges.\n 144→// Routes use full paths (including /config prefix) to avoid conflicting with\n 145→// the /config page route when registered via Group instead of Route.\n 146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n 147→\t// Settings Frontend Uses SessionAuth\n 148→\tif api.Authentication != nil {\n 149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n 150→\t\tr.Post(\"/config/users/\", api.createUser)\n 151→\t\tr.Put(\"/config/users/\", api.createUser)\n 152→\t\tr.Get(\"/config/users/\", api.getUsers)\n 153→\t\tr.Delete(\"/config/users/\", api.deleteUser)\n 154→\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n 155→\t\tr.Post(\"/config/notice/\", api.editNotice)\n 156→\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n 157→\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n 158→\t}\n 159→}\n 160→\n 161→// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n 162→// These routes support JWT generation and user configuration updates with session authentication.\n 163→func (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n 164→\tr.Get(\"/logs/\", api.getJournalLog)\n 165→\t// Settings Frontend Uses SessionAuth\n 166→\tif api.Authentication != nil {\n 167→\t\tr.Get(\"/jwt/\", api.getJWT)\n 168→\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n 169→\t}\n 170→}\n 171→\n 172→// ErrorResponse model\n 173→type ErrorResponse struct {\n 174→\t// Statustext of Errorcode\n 175→\tStatus string `json:\"status\"`\n 176→\tError string `json:\"error\"` // Error Message\n 177→}\n 178→\n 179→// DefaultAPIResponse model\n 180→type DefaultAPIResponse struct {\n 181→\tMessage string `json:\"msg\"`\n 182→}\n 183→\n 184→// handleError writes a standardized JSON error response with the given status code.\n 185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n 186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n 187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n 188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 189→\trw.WriteHeader(statusCode)\n 190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n 191→\t\tStatus: http.StatusText(statusCode),\n 192→\t\tError: err.Error(),\n 193→\t}); err != nil {\n 194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n 195→\t}\n 196→}\n 197→\n 198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n 199→func decode(r io.Reader, val any) error {\n 200→\tdec := json.NewDecoder(r)"}]},"uuid":"2e0a6cb3-1f28-46f1-87e6-a875039aa9d6","timestamp":"2026-03-16T10:18:58.656Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","timestamp":"2026-03-16T10:18:58.812Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.825Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"23cdd152-f5cb-41ae-b643-7054ec852132"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","timestamp":"2026-03-16T10:18:58.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue\n 151→\t\t\t}\n 152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n 153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n 154→\t\t\t\tarchivePending.Done()\n 155→\t\t\t\tcontinue\n 156→\t\t\t}\n 157→\t\t\t// Update the jobs database entry one last time:\n 158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n 159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n 160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n 161→\t\t\t\tarchivePending.Done()\n 162→\t\t\t\tcontinue\n 163→\t\t\t}\n 164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n 165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n 166→\n 167→\t\t\trepository.CallJobStopHooks(job)\n 168→\t\t\tarchivePending.Done()\n 169→\t\t}\n 170→\t}\n 171→}\n 172→\n 173→// TriggerArchiving queues a job for asynchronous archiving.\n 174→//\n 175→// This function should be called when a job completes (stops) to archive its\n 176→// metric data from the metric store to the configured archive backend.\n 177→//\n 178→// The function:\n 179→// 1. Increments the pending job counter (WaitGroup)\n 180→// 2. Sends the job to the archiving channel (buffered, capacity 128)\n 181→// 3. Returns immediately (non-blocking unless channel is full)\n 182→//\n 183→// The actual archiving is performed asynchronously by the worker goroutine.\n 184→// Upon completion, the worker will decrement the pending counter.\n 185→//\n 186→// Panics if Start() has not been called first.\n 187→func TriggerArchiving(job *schema.Job) {\n 188→\tif archiveChannel == nil {\n 189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n 190→\t}\n 191→\n 192→\tarchivePending.Add(1)\n 193→\tarchiveChannel <- job\n 194→}\n 195→\n 196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n 197→//\n 198→// The shutdown process:\n 199→// 1. Closes archiveChannel - no new jobs will be accepted\n 200→// 2. Waits for pending jobs to complete (up to timeout duration)\n 201→// 3. If timeout is exceeded:\n 202→// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n 203→// - Returns error indicating timeout\n 204→// 4. Waits for worker goroutine to exit cleanly\n 205→//\n 206→// Parameters:\n 207→// - timeout: Maximum duration to wait for pending jobs to complete\n 208→// (recommended: 10-30 seconds for production)\n 209→//\n 210→// Returns:\n 211→// - nil if all jobs completed within timeout\n 212→// - error if timeout was exceeded (some jobs may not have been archived)\n 213→//\n 214→// Jobs that don't complete within the timeout will be marked as failed.\n 215→// The function always ensures the worker goroutine exits before returning.\n 216→//\n 217→// Example:\n 218→//\n 219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 220→//\t log.Printf(\"Some jobs did not complete: %v\", err)\n 221→//\t}\n 222→func Shutdown(timeout time.Duration) error {\n 223→\tcclog.Info(\"Initiating archiver shutdown...\")\n 224→\n 225→\t// Close channel to signal no more jobs will be accepted\n 226→\tclose(archiveChannel)\n 227→\n 228→\t// Create a channel to signal when all jobs are done\n 229→\tdone := make(chan struct{})\n 230→\tgo func() {\n 231→\t\tarchivePending.Wait()\n 232→\t\tclose(done)\n 233→\t}()\n 234→\n 235→\t// Wait for jobs to complete or timeout\n 236→\tselect {\n 237→\tcase <-done:\n 238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n 239→\t\t// Wait for worker to exit\n 240→\t\t<-workerDone\n 241→\t\treturn nil\n 242→\tcase <-time.After(timeout):\n 243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n 244→\t\t// Cancel any ongoing operations\n 245→\t\tshutdownCancel()\n 246→\t\t// Wait for worker to exit\n 247→\t\t<-workerDone\n 248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n 249→\t}\n 250→}\n 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+{"parentUuid":"fe4f26ca-73ba-4d02-af6c-c25c65a02064","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TvXDoyQpRVirrkiiNAU6vk","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides an efficient in-memory time-series metric storage system\n 7→// with support for hierarchical data organization, checkpointing, and archiving.\n 8→//\n 9→// The package organizes metrics in a tree structure (cluster → host → component) and\n 10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n 11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n 12→// and enforcing retention policies.\n 13→//\n 14→// Key features:\n 15→// - In-memory metric storage with configurable retention\n 16→// - Hierarchical data organization (selectors)\n 17→// - Concurrent checkpoint/archive workers\n 18→// - Support for sum and average aggregation\n 19→// - NATS integration for metric ingestion\n 20→package metricstore\n 21→\n 22→import (\n 23→\t\"bytes\"\n 24→\t\"context\"\n 25→\t\"encoding/json\"\n 26→\t\"errors\"\n 27→\t\"fmt\"\n 28→\t\"runtime\"\n 29→\t\"runtime/debug\"\n 30→\t\"slices\"\n 31→\t\"sync\"\n 32→\t\"time\"\n 33→\n 34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 39→)\n 40→\n 41→// GlobalState holds the global state for the metric store with thread-safe access.\n 42→type GlobalState struct {\n 43→\tmu sync.RWMutex\n 44→\tlastRetentionTime int64\n 45→\tselectorsExcluded bool\n 46→}\n 47→\n 48→var (\n 49→\tsingleton sync.Once\n 50→\tmsInstance *MemoryStore\n 51→\t// shutdownFunc stores the context cancellation function created in Init\n 52→\t// and is called during Shutdown to cancel all background goroutines\n 53→\tshutdownFunc context.CancelFunc\n 54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n 55→\t// Create a global instance\n 56→\tstate = &GlobalState{}\n 57→)\n 58→\n 59→// NodeProvider provides information about nodes currently in use by running jobs.\n 60→//\n 61→// This interface allows metricstore to query job information without directly\n 62→// depending on the repository package, breaking the import cycle.\n 63→//\n 64→// Implementations should return nodes that are actively processing jobs started\n 65→// before the given timestamp. These nodes will be excluded from retention-based\n 66→// garbage collection to prevent data loss for jobs that are still running or\n 67→// recently completed.\n 68→type NodeProvider interface {\n 69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n 70→\t// that are currently in use by jobs that started before the given timestamp.\n 71→\t//\n 72→\t// Parameters:\n 73→\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n 74→\t//\n 75→\t// Returns:\n 76→\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n 77→\t// - Error if the query fails\n 78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n 79→}\n 80→\n 81→// Metric represents a single metric data point to be written to the store.\n 82→type Metric struct {\n 83→\tName string\n 84→\tValue schema.Float\n 85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n 86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n 87→\tMetricConfig MetricConfig\n 88→}\n 89→\n 90→// MemoryStore is the main in-memory time-series metric storage implementation.\n 91→//\n 92→// It organizes metrics in a hierarchical tree structure where each level represents\n 93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n 94→// store multiple metrics as time-series buffers.\n 95→//\n 96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n 97→// All public methods are safe for concurrent use.\n 98→type MemoryStore struct {\n 99→\tMetrics map[string]MetricConfig\n 100→\troot Level\n 101→\tnodeProvider NodeProvider\n 102→}\n 103→\n 104→// Init initializes the metric store from configuration and starts background workers.\n 105→//\n 106→// This function must be called exactly once before any other metricstore operations.\n 107→// It performs the following initialization steps:\n 108→// 1. Validates and decodes the metric store configuration\n 109→// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n 110→// 3. Loads metric configurations from all registered clusters\n 111→// 4. Restores checkpoints within the retention window\n 112→// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n 113→// 6. Optionally subscribes to NATS for real-time metric ingestion\n 114→//\n 115→// Parameters:\n 116→// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n 117→// - wg: WaitGroup that will be incremented for each background goroutine started\n 118→//\n 119→// The function will call cclog.Fatal on critical errors during initialization.\n 120→// Use Shutdown() to cleanly stop all background workers started by Init().\n 121→//\n 122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n 123→// receiving termination signals to ensure checkpoint data is persisted.\n 124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n 125→\tstartupTime := time.Now()\n 126→\n 127→\tif rawConfig != nil {\n 128→\t\tconfig.Validate(configSchema, rawConfig)\n 129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 130→\t\tdec.DisallowUnknownFields()\n 131→\t\tif err := dec.Decode(&Keys); err != nil {\n 132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n 133→\t\t}\n 134→\t}\n 135→\n 136→\t// Set NumWorkers from config or use default\n 137→\tif Keys.NumWorkers <= 0 {\n 138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n 139→\t}\n 140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n 141→\n 142→\t// Pass the config.MetricStoreKeys\n 143→\tInitMetrics(metrics)\n 144→\n 145→\tms := GetMemoryStore()\n 146→\n 147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 148→\tif err != nil {\n 149→\t\tcclog.Fatal(err)\n 150→\t}\n 151→\n 152→\trestoreFrom := startupTime.Add(-d)\n 153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n 154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n 155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n 156→\tif err != nil {\n 157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n 158→\t} else {\n 159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n 160→\t}\n 161→\n 162→\t// Try to use less memory by forcing a GC run here and then\n 163→\t// lowering the target percentage. The default of 100 means\n 164→\t// that only once the ratio of new allocations execeds the\n 165→\t// previously active heap, a GC is triggered.\n 166→\t// Forcing a GC here will set the \"previously active heap\"\n 167→\t// to a minumum.\n 168→\t// runtime.GC()\n 169→\n 170→\tctx, shutdown := context.WithCancel(context.Background())\n 171→\n 172→\tRetention(wg, ctx)\n 173→\tCheckpointing(wg, ctx)\n 174→\tCleanUp(wg, ctx)\n 175→\tWALStaging(wg, ctx)\n 176→\tMemoryUsageTracker(wg, ctx)\n 177→\n 178→\t// Note: Signal handling has been removed from this function.\n 179→\t// The caller is responsible for handling shutdown signals and calling\n 180→\t// the shutdown() function when appropriate.\n 181→\t// Store the shutdown function for later use by Shutdown()\n 182→\tshutdownFuncMu.Lock()\n 183→\tshutdownFunc = shutdown\n 184→\tshutdownFuncMu.Unlock()\n 185→\n 186→\tif Keys.Subscriptions != nil {\n 187→\t\terr = ReceiveNats(ms, 1, ctx)\n 188→\t\tif err != nil {\n 189→\t\t\tcclog.Fatal(err)\n 190→\t\t}\n 191→\t}\n 192→}\n 193→\n 194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n 195→//\n 196→// This function must be called before GetMemoryStore() and can only be called once due to\n 197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n 198→//\n 199→// Parameters:\n 200→// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)"}]},"uuid":"2950fd72-b369-478b-b67b-b5ac1cb2162f","timestamp":"2026-03-16T10:19:00.704Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","timestamp":"2026-03-16T10:19:01.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:01.631Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ajr7iRjmw5LwMw7QHv154j","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RDViCNdKqUxaiuoyupxLeR","name":"Grep","input":{"pattern":"go func|go\\s+\\w+\\(|time\\.Ticker|Checkpoint|WALStaging|periodic","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":6562,"cache_read_input_tokens":41305,"cache_creation":{"ephemeral_5m_input_tokens":6562,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7aNtTKE7gBJaJD4vN","uuid":"20d05472-e4f1-4829-b051-1e8a6e121a49"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"65d81d81-1657-4099-bd84-c655e7e4971a","timestamp":"2026-03-16T10:19:01.632Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"65d81d81-1657-4099-bd84-c655e7e4971a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RDViCNdKqUxaiuoyupxLeR","type":"tool_result","content":"Found 9 files\npkg/metricstore/config.go\npkg/metricstore/walCheckpoint.go\npkg/metricstore/configSchema.go\npkg/metricstore/checkpoint.go\npkg/metricstore/metricstore.go\npkg/metricstore/lineprotocol.go\npkg/metricstore/parquetArchive_test.go\npkg/metricstore/parquetArchive.go\npkg/metricstore/archive.go"}]},"uuid":"a6f2a22d-05c8-4bb0-b035-bce15e054651","timestamp":"2026-03-16T10:19:01.672Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"ce46d0bb-0387-43ae-bdd3-77482a3c4f6e","timestamp":"2026-03-16T10:19:01.673Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ce46d0bb-0387-43ae-bdd3-77482a3c4f6e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:01.913Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JUYwV4Ap6SLmt7XyybL6WB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LNZxs59YvZtpxmBzuRJnut","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":7898,"cache_read_input_tokens":34307,"cache_creation":{"ephemeral_5m_input_tokens":7898,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7ZqeH3zD7VuT8EyR5","uuid":"8be19555-c6bb-4c6c-8552-8f436e7a0630"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","timestamp":"2026-03-16T10:19:01.913Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LNZxs59YvZtpxmBzuRJnut","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package api provides the REST API layer for ClusterCockpit.\n 7→// It handles HTTP requests for job management, user administration,\n 8→// cluster queries, node state updates, and metrics storage operations.\n 9→// The API supports both JWT token authentication and session-based authentication.\n 10→package api\n 11→\n 12→import (\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"io\"\n 16→\t\"net/http\"\n 17→\t\"os\"\n 18→\t\"path/filepath\"\n 19→\t\"strings\"\n 20→\t\"sync\"\n 21→\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 29→\t\"github.com/go-chi/chi/v5\"\n 30→)\n 31→\n 32→// @title ClusterCockpit REST API\n 33→// @version 1.0.0\n 34→// @description API for batch job control.\n 35→\n 36→// @contact.name ClusterCockpit Project\n 37→// @contact.url https://github.com/ClusterCockpit\n 38→// @contact.email support@clustercockpit.org\n 39→\n 40→// @license.name MIT License\n 41→// @license.url https://opensource.org/licenses/MIT\n 42→\n 43→// @host localhost:8080\n 44→\n 45→// @securityDefinitions.apikey ApiKeyAuth\n 46→// @in header\n 47→// @name X-Auth-Token\n 48→\n 49→const (\n 50→\tnoticeFilePath = \"./var/notice.txt\"\n 51→\tnoticeFilePerms = 0o644\n 52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n 53→)\n 54→\n 55→type RestAPI struct {\n 56→\tJobRepository *repository.JobRepository\n 57→\tAuthentication *auth.Authentication\n 58→\tMachineStateDir string\n 59→\t// RepositoryMutex protects job creation operations from race conditions\n 60→\t// when checking for duplicate jobs during startJob API calls.\n 61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n 62→\t// from creating duplicate entries in the database.\n 63→\tRepositoryMutex sync.Mutex\n 64→}\n 65→\n 66→// New creates and initializes a new RestAPI instance with configured dependencies.\n 67→func New() *RestAPI {\n 68→\treturn &RestAPI{\n 69→\t\tJobRepository: repository.GetJobRepository(),\n 70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n 71→\t\tAuthentication: auth.GetAuthInstance(),\n 72→\t}\n 73→}\n 74→\n 75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n 76→// These routes use JWT token authentication via the X-Auth-Token header.\n 77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n 78→\t// REST API Uses TokenAuth\n 79→\t// User List\n 80→\tr.Get(\"/users/\", api.getUsers)\n 81→\t// Cluster List\n 82→\tr.Get(\"/clusters/\", api.getClusters)\n 83→\t// Slurm node state\n 84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n 85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n 86→\t// Job Handler\n 87→\tif config.Keys.APISubjects == nil {\n 88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n 89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n 90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n 91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n 92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n 93→\t}\n 94→\tr.Get(\"/jobs/\", api.getJobs)\n 95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n 96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n 97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n 98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n 99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n 100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n 101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n 103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n 104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n 105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 107→\n 108→\tr.Delete(\"/tags/\", api.removeTags)\n 109→\n 110→\tif api.MachineStateDir != \"\" {\n 111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n 112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 114→\t}\n 115→}\n 116→\n 117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n 118→// These are limited endpoints for regular users with JWT token authentication.\n 119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n 120→\t// REST API Uses TokenAuth\n 121→\tr.Get(\"/jobs/\", api.getJobs)\n 122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 125→}\n 126→\n 127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n 128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n 129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n 130→\t// REST API Uses TokenAuth\n 131→\tr.Post(\"/free\", freeMetrics)\n 132→\tr.Post(\"/write\", writeMetrics)\n 133→\tr.Get(\"/debug\", debugMetrics)\n 134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n 135→\t// Same endpoints but with trailing slash\n 136→\tr.Post(\"/free/\", freeMetrics)\n 137→\tr.Post(\"/write/\", writeMetrics)\n 138→\tr.Get(\"/debug/\", debugMetrics)\n 139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n 140→}\n 141→\n 142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n 143→// These routes use session-based authentication and require admin privileges.\n 144→// Routes use full paths (including /config prefix) to avoid conflicting with\n 145→// the /config page route when registered via Group instead of Route.\n 146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n 147→\t// Settings Frontend Uses SessionAuth\n 148→\tif api.Authentication != nil {\n 149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n 150→\t\tr.Post(\"/config/users/\", api.createUser)"}]},"uuid":"666a1724-c43c-4a5e-8c55-9baa9933b702","timestamp":"2026-03-16T10:19:01.917Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"ff277f41-2cbd-4d6d-8eee-554a7d50a2a9","timestamp":"2026-03-16T10:19:01.918Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"0ac4840d-8ce1-4864-ba76-57f99504b7ef","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LsPHTrPSnt2Estx2sBx8ai","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n 96→\ttx, err := r.DB.Beginx()\n 97→\tif err != nil {\n 98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tdefer tx.Rollback()\n 102→\n 103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 104→\t_, err = tx.Exec(\n 105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 106→\tif err != nil {\n 107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n 112→\tif err != nil {\n 113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 114→\t\treturn nil, err\n 115→\t}\n 116→\n 117→\tif err := tx.Commit(); err != nil {\n 118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 123→\t// are from a different auto-increment sequence and must not be used to\n 124→\t// query the job table.\n 125→\tfor _, job := range jobs {\n 126→\t\tvar newID int64\n 127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {\n 158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 159→\t}\n 160→\n 161→\treturn newID, nil\n 162→}\n 163→\n 164→// Start inserts a new job in the table, returning the unique job ID.\n 165→// Statistics are not transfered!\n 166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 168→\tif err != nil {\n 169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 170→\t}\n 171→\n 172→\tjob.RawResources, err = json.Marshal(job.Resources)\n 173→\tif err != nil {\n 174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 175→\t}\n 176→\n 177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 178→\tif err != nil {\n 179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 180→\t}\n 181→\n 182→\treturn r.InsertJob(job)\n 183→}\n 184→\n 185→// StartDirect inserts a new job directly into the job table (not job_cache).\n 186→// Use this when the returned ID will immediately be used for job table\n 187→// operations such as adding tags.\n 188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 190→\tif err != nil {\n 191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 192→\t}\n 193→\n 194→\tjob.RawResources, err = json.Marshal(job.Resources)\n 195→\tif err != nil {\n 196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 197→\t}\n 198→\n 199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 200→\tif err != nil {\n 201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 202→\t}\n 203→\n 204→\treturn r.InsertJobDirect(job)\n 205→}\n 206→\n 207→// Stop updates the job with the database id jobId using the provided arguments.\n 208→func (r *JobRepository) Stop(\n 209→\tjobID int64,\n 210→\tduration int32,\n 211→\tstate schema.JobState,\n 212→\tmonitoringStatus int32,\n 213→) (err error) {\n 214→\t// Invalidate cache entries as job state is changing\n 215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 217→\n 218→\tstmt := sq.Update(\"job\").\n 219→\t\tSet(\"job_state\", state).\n 220→\t\tSet(\"duration\", duration).\n 221→\t\tSet(\"monitoring_status\", monitoringStatus).\n 222→\t\tWhere(\"job.id = ?\", jobID)\n 223→\n 224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 225→\treturn err\n 226→}\n 227→"}]},"uuid":"68d5eef7-19ca-4774-957f-4b6683917bf2","timestamp":"2026-03-16T10:19:02.479Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","timestamp":"2026-03-16T10:19:02.733Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.785Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobHooks.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"998b9ccc-b4e0-44f5-85b6-283dfc42834e"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","timestamp":"2026-03-16T10:19:02.786Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"sync\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 12→)\n 13→\n 14→// JobHook interface allows external components to hook into job lifecycle events.\n 15→// Implementations can perform actions when jobs start or stop, such as tagging,\n 16→// logging, notifications, or triggering external workflows.\n 17→//\n 18→// Example implementation:\n 19→//\n 20→//\ttype MyJobTagger struct{}\n 21→//\n 22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n 23→//\t if job.NumNodes > 100 {\n 24→//\t // Tag large jobs automatically\n 25→//\t }\n 26→//\t}\n 27→//\n 28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n 29→//\t if job.State == schema.JobStateFailed {\n 30→//\t // Log or alert on failed jobs\n 31→//\t }\n 32→//\t}\n 33→//\n 34→// Register hooks during application initialization:\n 35→//\n 36→//\trepository.RegisterJobHook(&MyJobTagger{})\n 37→type JobHook interface {\n 38→\t// JobStartCallback is invoked when one or more jobs start.\n 39→\t// This is called synchronously, so implementations should be fast.\n 40→\tJobStartCallback(job *schema.Job)\n 41→\n 42→\t// JobStopCallback is invoked when a job completes.\n 43→\t// This is called synchronously, so implementations should be fast.\n 44→\tJobStopCallback(job *schema.Job)\n 45→}\n 46→\n 47→var (\n 48→\tinitOnce sync.Once\n 49→\thooks []JobHook\n 50→)\n 51→\n 52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n 53→// Multiple hooks can be registered and will be called in registration order.\n 54→// This function is safe to call multiple times and is typically called during\n 55→// application initialization.\n 56→//\n 57→// Nil hooks are silently ignored to simplify conditional registration.\n 58→func RegisterJobHook(hook JobHook) {\n 59→\tinitOnce.Do(func() {\n 60→\t\thooks = make([]JobHook, 0)\n 61→\t})\n 62→\n 63→\tif hook != nil {\n 64→\t\thooks = append(hooks, hook)\n 65→\t}\n 66→}\n 67→\n 68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n 69→// for each job in the provided slice. This is called internally by the repository\n 70→// when jobs are started (e.g., via StartJob or batch job imports).\n 71→//\n 72→// Hooks are called synchronously in registration order. If a hook panics,\n 73→// the panic will propagate to the caller.\n 74→func CallJobStartHooks(jobs []*schema.Job) {\n 75→\tif hooks == nil {\n 76→\t\treturn\n 77→\t}\n 78→\n 79→\tfor _, hook := range hooks {\n 80→\t\tif hook != nil {\n 81→\t\t\tfor _, job := range jobs {\n 82→\t\t\t\thook.JobStartCallback(job)\n 83→\t\t\t}\n 84→\t\t}\n 85→\t}\n 86→}\n 87→\n 88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n 89→// for the provided job. This is called internally by the repository when a\n 90→// job completes (e.g., via StopJob or job state updates).\n 91→//\n 92→// Hooks are called synchronously in registration order. If a hook panics,\n 93→// the panic will propagate to the caller.\n 94→func CallJobStopHooks(job *schema.Job) {\n 95→\tif hooks == nil {\n 96→\t\treturn\n 97→\t}\n 98→\n 99→\tfor _, hook := range hooks {\n 100→\t\tif hook != nil {\n 101→\t\t\thook.JobStopCallback(job)\n 102→\t\t}\n 103→\t}\n 104→}\n 105→"}]},"uuid":"05632aaf-09b7-49dc-9f0d-bef792d1b4ab","timestamp":"2026-03-16T10:19:02.791Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","timestamp":"2026-03-16T10:19:02.805Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.942Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"10ace628-ff89-413e-9f33-5f307676cb9d"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06874574-1671-41e1-b217-b43ab9f97416","timestamp":"2026-03-16T10:19:02.943Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"06874574-1671-41e1-b217-b43ab9f97416","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→\n 38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n 39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n 40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n 41→\t// Default: 2048 (2GB)\n 42→\tDbCacheSizeMB int\n 43→\n 44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n 45→\t// SQLite will try to release cache pages to stay under this limit.\n 46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n 47→\t// Default: 16384 (16GB)\n 48→\tDbSoftHeapLimitMB int\n 49→\n 50→\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\n 51→\t// When a write is blocked by another writer, SQLite retries internally\n 52→\t// using a backoff mechanism for up to this duration before returning SQLITE_BUSY.\n 53→\t// Default: 60000 (60 seconds)\n 54→\tBusyTimeoutMs int\n 55→}\n 56→\n 57→// DefaultConfig returns the default repository configuration.\n 58→// These values are optimized for typical deployments.\n 59→func DefaultConfig() *RepositoryConfig {\n 60→\treturn &RepositoryConfig{\n 61→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 62→\t\tMaxOpenConnections: 4,\n 63→\t\tMaxIdleConnections: 4,\n 64→\t\tConnectionMaxLifetime: time.Hour,\n 65→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 66→\t\tMinRunningJobDuration: 600, // 10 minutes\n 67→\t\tDbCacheSizeMB: 2048, // 2GB per connection\n 68→\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n 69→\t\tBusyTimeoutMs: 60000, // 60 seconds\n 70→\t}\n 71→}\n 72→\n 73→// repoConfig is the package-level configuration instance.\n 74→// It is initialized with defaults and can be overridden via SetConfig.\n 75→var repoConfig *RepositoryConfig = DefaultConfig()\n 76→\n 77→// SetConfig sets the repository configuration.\n 78→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 79→// If not called, default values from DefaultConfig() are used.\n 80→func SetConfig(cfg *RepositoryConfig) {\n 81→\tif cfg != nil {\n 82→\t\trepoConfig = cfg\n 83→\t}\n 84→}\n 85→\n 86→// GetConfig returns the current repository configuration.\n 87→func GetConfig() *RepositoryConfig {\n 88→\treturn repoConfig\n 89→}\n 90→"}]},"uuid":"b52aab3d-70ab-4612-ab88-21bf16ecfd5f","timestamp":"2026-03-16T10:19:02.952Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","timestamp":"2026-03-16T10:19:02.963Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.249Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"5a0fc9cf-8ece-4061-ad34-30078c5300bc"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","timestamp":"2026-03-16T10:19:03.250Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file implements checkpoint persistence for the in-memory metric store.\n 7→//\n 8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n 9→// data to disk in JSON or binary format. The checkpoint system:\n 10→//\n 11→// Key Features:\n 12→// - Periodic background checkpointing via the Checkpointing() worker\n 13→// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n 14→// - Parallel checkpoint creation and loading using worker pools\n 15→// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n 16→// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n 17→// - Only saves unarchived data (archived data is already persisted elsewhere)\n 18→// - GC optimization during loading to prevent excessive heap growth\n 19→//\n 20→// Checkpoint Workflow:\n 21→// 1. Init() loads checkpoints within retention window at startup\n 22→// 2. Checkpointing() worker periodically saves new data\n 23→// 3. Shutdown() writes final checkpoint before exit\n 24→//\n 25→// File Organization:\n 26→//\n 27→//\tcheckpoints/\n 28→//\t cluster1/\n 29→//\t host001/\n 30→//\t 1234567890.json (JSON format: full subtree snapshot)\n 31→//\t 1234567890.bin (binary format: full subtree snapshot)\n 32→//\t current.wal (WAL format: append-only per-entry log)\n 33→//\t host002/\n 34→//\t ...\n 35→package metricstore\n 36→\n 37→import (\n 38→\t\"bufio\"\n 39→\t\"context\"\n 40→\t\"encoding/json\"\n 41→\t\"errors\"\n 42→\t\"fmt\"\n 43→\t\"io/fs\"\n 44→\t\"os\"\n 45→\t\"path\"\n 46→\t\"path/filepath\"\n 47→\t\"sort\"\n 48→\t\"strconv\"\n 49→\t\"strings\"\n 50→\t\"sync\"\n 51→\t\"sync/atomic\"\n 52→\t\"time\"\n 53→\n 54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 56→)\n 57→\n 58→const (\n 59→\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n 60→\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n 61→\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n 62→)\n 63→\n 64→// CheckpointMetrics represents metric data in a checkpoint file.\n 65→// Whenever the structure changes, update MarshalJSON as well!\n 66→type CheckpointMetrics struct {\n 67→\tData []schema.Float `json:\"data\"`\n 68→\tFrequency int64 `json:\"frequency\"`\n 69→\tStart int64 `json:\"start\"`\n 70→}\n 71→\n 72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n 73→// It mirrors the Level tree structure from the MemoryStore.\n 74→type CheckpointFile struct {\n 75→\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n 76→\tChildren map[string]*CheckpointFile `json:\"children\"`\n 77→\tFrom int64 `json:\"from\"`\n 78→\tTo int64 `json:\"to\"`\n 79→}\n 80→\n 81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n 82→var (\n 83→\tlastCheckpoint time.Time\n 84→\tlastCheckpointMu sync.Mutex\n 85→)\n 86→\n 87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n 88→//\n 89→// Checkpoints are written every 12 hours (hardcoded).\n 90→//\n 91→// Format behaviour:\n 92→// - \"json\": Periodic checkpointing every checkpointInterval\n 93→// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\n 94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n 95→\tlastCheckpointMu.Lock()\n 96→\tlastCheckpoint = time.Now()\n 97→\tlastCheckpointMu.Unlock()\n 98→\n 99→\tms := GetMemoryStore()\n 100→\n 101→\twg.Go(func() {\n 102→\n 103→\t\td := 12 * time.Hour // default checkpoint interval\n 104→\t\tif Keys.CheckpointInterval != \"\" {\n 105→\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n 106→\t\t\tif err != nil {\n 107→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n 108→\t\t\t} else {\n 109→\t\t\t\td = parsed\n 110→\t\t\t}\n 111→\t\t}\n 112→\n 113→\t\tticker := time.NewTicker(d)\n 114→\t\tdefer ticker.Stop()\n 115→\n 116→\t\tfor {\n 117→\t\t\tselect {\n 118→\t\t\tcase <-ctx.Done():\n 119→\t\t\t\treturn\n 120→\t\t\tcase <-ticker.C:\n 121→\t\t\t\tlastCheckpointMu.Lock()\n 122→\t\t\t\tfrom := lastCheckpoint\n 123→\t\t\t\tlastCheckpointMu.Unlock()\n 124→\n 125→\t\t\t\tnow := time.Now()\n 126→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n 127→\n 128→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 129→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 130→\t\t\t\t\tif err != nil {\n 131→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n 132→\t\t\t\t\t} else {\n 133→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n 134→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 135→\t\t\t\t\t\tlastCheckpoint = now\n 136→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 137→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n 138→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n 139→\t\t\t\t\t}\n 140→\t\t\t\t} else {\n 141→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 142→\t\t\t\t\tif err != nil {\n 143→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n 144→\t\t\t\t\t} else {\n 145→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n 146→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 147→\t\t\t\t\t\tlastCheckpoint = now\n 148→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 149→\t\t\t\t\t}\n 150→\t\t\t\t}"}]},"uuid":"2e62ad0e-e1ca-4a62-8920-adefada05ab4","timestamp":"2026-03-16T10:19:03.257Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","timestamp":"2026-03-16T10:19:03.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.473Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"ffb59d61-c950-4575-be83-8fa23ccf134e"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","timestamp":"2026-03-16T10:19:03.474Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"sync\"\n 15→\t\"sync/atomic\"\n 16→\t\"time\"\n 17→\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→)\n 20→\n 21→// Worker for either Archiving or Deleting files\n 22→\n 23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n 24→\tif Keys.Cleanup.Mode == \"archive\" {\n 25→\t\t// Run as Archiver\n 26→\t\tcleanUpWorker(wg, ctx,\n 27→\t\t\tKeys.RetentionInMemory,\n 28→\t\t\t\"archiving\",\n 29→\t\t\tKeys.Cleanup.RootDir,\n 30→\t\t\tfalse,\n 31→\t\t)\n 32→\t} else {\n 33→\t\t// Run as Deleter\n 34→\t\tcleanUpWorker(wg, ctx,\n 35→\t\t\tKeys.RetentionInMemory,\n 36→\t\t\t\"deleting\",\n 37→\t\t\t\"\",\n 38→\t\t\ttrue,\n 39→\t\t)\n 40→\t}\n 41→}\n 42→\n 43→// cleanUpWorker takes simple values to configure what it does\n 44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n 45→\twg.Go(func() {\n 46→\n 47→\t\td, err := time.ParseDuration(interval)\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n 50→\t\t}\n 51→\t\tif d <= 0 {\n 52→\t\t\treturn\n 53→\t\t}\n 54→\n 55→\t\tticker := time.NewTicker(d)\n 56→\t\tdefer ticker.Stop()\n 57→\n 58→\t\tfor {\n 59→\t\t\tselect {\n 60→\t\t\tcase <-ctx.Done():\n 61→\t\t\t\treturn\n 62→\t\t\tcase <-ticker.C:\n 63→\t\t\t\tt := time.Now().Add(-d)\n 64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n 65→\n 66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n 67→\n 68→\t\t\t\tif err != nil {\n 69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n 70→\t\t\t\t} else {\n 71→\t\t\t\t\tif delete {\n 72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n 73→\t\t\t\t\t} else {\n 74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n 75→\t\t\t\t\t}\n 76→\t\t\t\t}\n 77→\t\t\t}\n 78→\t\t}\n 79→\t})\n 80→}\n 81→\n 82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n 83→\n 84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n 85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n 86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n 87→\tif deleteInstead {\n 88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n 89→\t}\n 90→\n 91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n 92→}\n 93→\n 94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n 95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n 96→\tentries1, err := os.ReadDir(checkpointsDir)\n 97→\tif err != nil {\n 98→\t\treturn 0, err\n 99→\t}\n 100→\n 101→\ttype workItem struct {\n 102→\t\tdir string\n 103→\t\tcluster, host string\n 104→\t}\n 105→\n 106→\tvar wg sync.WaitGroup\n 107→\tn, errs := int32(0), int32(0)\n 108→\twork := make(chan workItem, Keys.NumWorkers)\n 109→\n 110→\twg.Add(Keys.NumWorkers)\n 111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 112→\t\tgo func() {\n 113→\t\t\tdefer wg.Done()\n 114→\t\t\tfor item := range work {\n 115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n 116→\t\t\t\tif err != nil {\n 117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n 118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 119→\t\t\t\t\tcontinue\n 120→\t\t\t\t}\n 121→\n 122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n 123→\t\t\t\tif err != nil {\n 124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n 125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 126→\t\t\t\t\tcontinue\n 127→\t\t\t\t}\n 128→\n 129→\t\t\t\tfor _, checkpoint := range files {\n 130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n 131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n 132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 133→\t\t\t\t\t} else {\n 134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n 135→\t\t\t\t\t}\n 136→\t\t\t\t}\n 137→\t\t\t}\n 138→\t\t}()\n 139→\t}\n 140→\n 141→\tfor _, de1 := range entries1 {\n 142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n 143→\t\tif e != nil {\n 144→\t\t\terr = e\n 145→\t\t\tcontinue\n 146→\t\t}\n 147→\n 148→\t\tfor _, de2 := range entries2 {\n 149→\t\t\twork <- workItem{\n 150→\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),"}]},"uuid":"3afe89cf-60fc-471d-ae9b-6f193b18a7a9","timestamp":"2026-03-16T10:19:03.485Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"54d4faf4-bc11-4dac-b7f7-b8bdc182f051","timestamp":"2026-03-16T10:19:03.493Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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{","is_error":false}]},"uuid":"83a6ae39-13a1-426b-a36b-ee3900189275","timestamp":"2026-03-16T10:19:05.493Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"44c09212-687c-499b-ac29-9cc0e79d8189","timestamp":"2026-03-16T10:19:05.494Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"44c09212-687c-499b-ac29-9cc0e79d8189","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FeC9fr85spYr1P3VKWY5Lc","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package main provides the entry point for the ClusterCockpit backend server.\n 7→// It orchestrates initialization of all subsystems including configuration,\n 8→// database, authentication, and the HTTP server.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"os\"\n 16→\t\"os/signal\"\n 17→\t\"runtime/debug\"\n 18→\t\"strings\"\n 19→\t\"sync\"\n 20→\t\"syscall\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 40→\t\"github.com/google/gops/agent\"\n 41→\t\"github.com/joho/godotenv\"\n 42→\n 43→\t_ \"github.com/mattn/go-sqlite3\"\n 44→)\n 45→\n 46→const logoString = `\n 47→ _____ _ _ ____ _ _ _\n 48→/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n 49→| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n 50→| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n 51→\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n 52→ |_|\n 53→`\n 54→\n 55→// Environment variable names\n 56→const (\n 57→\tenvGOGC = \"GOGC\"\n 58→)\n 59→\n 60→// Default configurations\n 61→const (\n 62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n 63→)\n 64→\n 65→var (\n 66→\tdate string\n 67→\tcommit string\n 68→\tversion string\n 69→)\n 70→\n 71→func printVersion() {\n 72→\tfmt.Print(logoString)\n 73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n 74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n 75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n 76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n 77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n 78→}\n 79→\n 80→func initGops() error {\n 81→\tif !flagGops {\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif err := agent.Listen(agent.Options{}); err != nil {\n 86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n 87→\t}\n 88→\treturn nil\n 89→}\n 90→\n 91→func loadEnvironment() error {\n 92→\tif err := godotenv.Load(); err != nil {\n 93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n 94→\t}\n 95→\treturn nil\n 96→}\n 97→\n 98→func initConfiguration() error {\n 99→\tccconf.Init(flagConfigFile)\n 100→\n 101→\tcfg := ccconf.GetPackageConfig(\"main\")\n 102→\tif cfg == nil {\n 103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n 104→\t}\n 105→\n 106→\tconfig.Init(cfg)\n 107→\treturn nil\n 108→}\n 109→\n 110→func initDatabase() error {\n 111→\tif config.Keys.DbConfig != nil {\n 112→\t\tcfg := repository.DefaultConfig()\n 113→\t\tdc := config.Keys.DbConfig\n 114→\t\tif dc.CacheSizeMB > 0 {\n 115→\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n 116→\t\t}\n 117→\t\tif dc.SoftHeapLimitMB > 0 {\n 118→\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n 119→\t\t}\n 120→\t\tif dc.MaxOpenConnections > 0 {\n 121→\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n 122→\t\t}\n 123→\t\tif dc.MaxIdleConnections > 0 {\n 124→\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n 125→\t\t}\n 126→\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n 127→\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n 128→\t\t}\n 129→\t\trepository.SetConfig(cfg)\n 130→\t}\n 131→\trepository.Connect(config.Keys.DB)\n 132→\treturn nil\n 133→}\n 134→\n 135→func handleDatabaseCommands() error {\n 136→\tif flagMigrateDB {\n 137→\t\terr := repository.MigrateDB(config.Keys.DB)\n 138→\t\tif err != nil {\n 139→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n 140→\t\t}\n 141→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n 142→\t\t\tconfig.Keys.DB, repository.Version)\n 143→\t}\n 144→\n 145→\tif flagRevertDB {\n 146→\t\terr := repository.RevertDB(config.Keys.DB)\n 147→\t\tif err != nil {\n 148→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n 149→\t\t}\n 150→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\","}]},"uuid":"50c72db8-1193-4668-a5ab-a831c0b28297","timestamp":"2026-03-16T10:19:05.300Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","timestamp":"2026-03-16T10:19:05.581Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:05.964Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LJ3XxW1v5AFPnJvbZpSdmT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","name":"Grep","input":{"pattern":"taskmanager\\.Start|archiver\\.Start|metricstore\\.Init|Shutdown","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4160,"cache_read_input_tokens":51519,"cache_creation":{"ephemeral_5m_input_tokens":4160,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7vJwiwLWsiVxoestV","uuid":"bffd57cc-e1a9-43a7-88e6-9209b4e7ffe3"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","timestamp":"2026-03-16T10:19:05.965Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","type":"tool_result","content":"cmd/cc-backend/main.go:343:\t\tmetricstore.Init(mscfg, metrics, &wg)\ncmd/cc-backend/main.go:373:\tarchiver.Start(repository.GetJobRepository(), ctx)\ncmd/cc-backend/main.go:374:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:406:\t\t\tcclog.Info(\"Shutdown signal received\")\ncmd/cc-backend/main.go:411:\t\tsrv.Shutdown(ctx)\ncmd/cc-backend/main.go:412:\t\tutil.FsWatcherShutdown()\ncmd/cc-backend/main.go:413:\t\ttaskmanager.Shutdown()\ncmd/cc-backend/server.go:407:\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:418:func (s *Server) Shutdown(ctx context.Context) {\ncmd/cc-backend/server.go:429:\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:437:\t\tmetricstore.Shutdown()\ncmd/cc-backend/server.go:440:\t// Shutdown archiver with 10 second timeout for fast shutdown\ncmd/cc-backend/server.go:441:\tif err := archiver.Shutdown(10 * time.Second); err != nil {"}]},"uuid":"73ab8bde-0953-4ec8-9bd7-3f54d658a02e","timestamp":"2026-03-16T10:19:05.985Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","timestamp":"2026-03-16T10:19:05.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.003Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ST4386xqZyT4q6mcKciHXA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":200,"limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"2fdaddba-6584-4d68-b405-4d0392ef22e0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","timestamp":"2026-03-16T10:19:06.004Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ST4386xqZyT4q6mcKciHXA","type":"tool_result","content":" 200→\n 201→\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 202→\t\tif err != nil {\n 203→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n 204→\t\t\treturn\n 205→\t\t}\n 206→\n 207→\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n 208→\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n 209→\t\t\tif err != nil {\n 210→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n 211→\t\t\t\treturn\n 212→\t\t\t}\n 213→\t\t}\n 214→\n 215→\t\tresults = append(results, job)\n 216→\t}\n 217→\n 218→\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n 219→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 220→\tbw := bufio.NewWriter(rw)\n 221→\tdefer bw.Flush()\n 222→\n 223→\tpayload := GetJobsAPIResponse{\n 224→\t\tJobs: results,\n 225→\t\tItems: page.ItemsPerPage,\n 226→\t\tPage: page.Page,\n 227→\t}\n 228→\n 229→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n 230→\t\thandleError(err, http.StatusInternalServerError, rw)\n 231→\t\treturn\n 232→\t}\n 233→}\n 234→\n 235→// getCompleteJobByID godoc\n 236→// @summary Get job meta and optional all metric data\n 237→// @tags Job query\n 238→// @description Job to get is specified by database ID\n 239→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n 240→// @produce json\n 241→// @param id path int true \"Database ID of Job\"\n 242→// @param all-metrics query bool false \"Include all available metrics\"\n 243→// @success 200 {object} api.GetJobAPIResponse \"Job resource\"\n 244→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 245→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 246→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 247→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 248→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 249→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 250→// @security ApiKeyAuth\n 251→// @router /api/jobs/{id} [get]\n 252→func (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n 253→\t// Fetch job from db\n 254→\tid := chi.URLParam(r, \"id\")\n 255→\tvar job *schema.Job\n 256→\tvar err error\n 257→\tif id != \"\" {\n 258→\t\tid, e := strconv.ParseInt(id, 10, 64)\n 259→\t\tif e != nil {\n 260→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n 261→\t\t\treturn\n 262→\t\t}\n 263→\n 264→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n 265→\t} else {\n 266→\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n 267→\t\treturn\n 268→\t}\n 269→\tif err != nil {\n 270→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n 271→\t\treturn\n 272→\t}\n 273→\n 274→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 275→\tif err != nil {\n 276→\t\thandleError(err, http.StatusInternalServerError, rw)\n 277→\t\treturn\n 278→\n 279→\t}\n 280→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n 281→\n 282→\t\thandleError(err, http.StatusInternalServerError, rw)\n 283→\t\treturn\n 284→\t}\n 285→\n 286→\tvar scopes []schema.MetricScope\n 287→\n 288→\tif job.NumNodes == 1 {\n 289→\t\tscopes = []schema.MetricScope{\"core\"}\n 290→\t} else {\n 291→\t\tscopes = []schema.MetricScope{\"node\"}\n 292→\t}\n 293→\n 294→\tvar data schema.JobData\n 295→\n 296→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 297→\tresolution := 0\n 298→\n 299→\tfor _, mc := range metricConfigs {\n 300→\t\tresolution = max(resolution, mc.Timestep)\n 301→\t}\n 302→\n 303→\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n 304→\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n 305→\t\tif err != nil {\n 306→\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n 307→\t\t\treturn\n 308→\t\t}\n 309→\t}\n 310→\n 311→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n 312→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 313→\tbw := bufio.NewWriter(rw)\n 314→\tdefer bw.Flush()\n 315→\n 316→\tpayload := GetCompleteJobAPIResponse{\n 317→\t\tMeta: job,\n 318→\t\tData: data,\n 319→\t}\n 320→\n 321→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n 322→\t\thandleError(err, http.StatusInternalServerError, rw)\n 323→\t\treturn\n 324→\t}\n 325→}\n 326→\n 327→// getJobByID godoc\n 328→// @summary Get job meta and configurable metric data\n 329→// @tags Job query\n 330→// @description Job to get is specified by database ID\n 331→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n 332→// @accept json\n 333→// @produce json\n 334→// @param id path int true \"Database ID of Job\"\n 335→// @param request body api.GetJobAPIRequest true \"Array of metric names\"\n 336→// @success 200 {object} api.GetJobAPIResponse \"Job resource\"\n 337→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 338→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 339→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 340→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 341→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 342→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 343→// @security ApiKeyAuth\n 344→// @router /api/jobs/{id} [post]\n 345→func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n 346→\t// Fetch job from db\n 347→\tid := chi.URLParam(r, \"id\")\n 348→\tvar job *schema.Job\n 349→\tvar err error\n 350→\tif id != \"\" {\n 351→\t\tid, e := strconv.ParseInt(id, 10, 64)\n 352→\t\tif e != nil {\n 353→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n 354→\t\t\treturn\n 355→\t\t}\n 356→\n 357→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n 358→\t} else {\n 359→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n 360→\t\treturn\n 361→\t}\n 362→\tif err != nil {\n 363→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n 364→\t\treturn\n 365→\t}\n 366→\n 367→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 368→\tif err != nil {\n 369→\t\thandleError(err, http.StatusInternalServerError, rw)\n 370→\t\treturn\n 371→\n 372→\t}\n 373→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n 374→\n 375→\t\thandleError(err, http.StatusInternalServerError, rw)\n 376→\t\treturn\n 377→\t}\n 378→\n 379→\tvar metrics GetJobAPIRequest\n 380→\tif err = decode(r.Body, &metrics); err != nil {\n 381→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 382→\t\treturn\n 383→\t}\n 384→\n 385→\tvar scopes []schema.MetricScope\n 386→\n 387→\tif job.NumNodes == 1 {\n 388→\t\tscopes = []schema.MetricScope{\"core\"}\n 389→\t} else {\n 390→\t\tscopes = []schema.MetricScope{\"node\"}\n 391→\t}\n 392→\n 393→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 394→\tresolution := 0\n 395→\n 396→\tfor _, mc := range metricConfigs {\n 397→\t\tresolution = max(resolution, mc.Timestep)\n 398→\t}\n 399→\n 400→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n 401→\tif err != nil {\n 402→\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n 403→\t\treturn\n 404→\t}\n 405→\n 406→\tres := []*JobMetricWithName{}\n 407→\tfor name, md := range data {\n 408→\t\tfor scope, metric := range md {\n 409→\t\t\tres = append(res, &JobMetricWithName{\n 410→\t\t\t\tName: name,\n 411→\t\t\t\tScope: scope,\n 412→\t\t\t\tMetric: metric,\n 413→\t\t\t})\n 414→\t\t}\n 415→\t}\n 416→\n 417→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n 418→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 419→\tbw := bufio.NewWriter(rw)\n 420→\tdefer bw.Flush()\n 421→\n 422→\tpayload := GetJobAPIResponse{\n 423→\t\tMeta: job,\n 424→\t\tData: res,\n 425→\t}\n 426→\n 427→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n 428→\t\thandleError(err, http.StatusInternalServerError, rw)\n 429→\t\treturn\n 430→\t}\n 431→}\n 432→\n 433→// editMeta godoc\n 434→// @summary Edit meta-data json of job identified by database id\n 435→// @tags Job add and modify\n 436→// @description Edit key value pairs in job metadata json of job specified by database id\n 437→// @description If a key already exists its content will be overwritten\n 438→// @accept json\n 439→// @produce json\n 440→// @param id path int true \"Job Database ID\"\n 441→// @param request body api.EditMetaRequest true \"Metadata Key value pair to add or update\"\n 442→// @success 200 {object} schema.Job \"Updated job resource\"\n 443→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 444→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 445→// @failure 404 {object} api.ErrorResponse \"Job does not exist\"\n 446→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 447→// @security ApiKeyAuth\n 448→// @router /api/jobs/edit_meta/{id} [patch]\n 449→func (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n 450→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n 451→\tif err != nil {\n 452→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n 453→\t\treturn\n 454→\t}\n 455→\n 456→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n 457→\tif err != nil {\n 458→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 459→\t\treturn\n 460→\t}\n 461→\n 462→\tvar req EditMetaRequest\n 463→\tif err := decode(r.Body, &req); err != nil {\n 464→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 465→\t\treturn\n 466→\t}\n 467→\n 468→\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n 469→\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n 470→\t\treturn\n 471→\t}\n 472→\n 473→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 474→\trw.WriteHeader(http.StatusOK)\n 475→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n 476→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n 477→\t}\n 478→}\n 479→\n 480→// editMetaByRequest godoc\n 481→// @summary Edit meta-data json of job identified by request\n 482→// @tags Job add and modify\n 483→// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n 484→// @description If a key already exists its content will be overwritten\n 485→// @accept json\n 486→// @produce json\n 487→// @param request body api.JobMetaRequest true \"Specifies job and payload to add or update\"\n 488→// @success 200 {object} schema.Job \"Updated job resource\"\n 489→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 490→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 491→// @failure 404 {object} api.ErrorResponse \"Job does not exist\"\n 492→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 493→// @security ApiKeyAuth\n 494→// @router /api/jobs/edit_meta/ [patch]\n 495→func (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n 496→\t// Parse request body\n 497→\treq := JobMetaRequest{}\n 498→\tif err := decode(r.Body, &req); err != nil {\n 499→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)"}]},"uuid":"3aca981d-fe49-453f-82cf-6319171ebbf9","timestamp":"2026-03-16T10:19:06.006Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","timestamp":"2026-03-16T10:19:06.020Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.431Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","name":"Grep","input":{"pattern":"UpdateMonitoringStatus|UpdateFootprint|Flush|Exec|NamedExec","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"4943f452-5595-4151-a6ba-7f1011d0f644"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","timestamp":"2026-03-16T10:19:06.432Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","type":"tool_result","content":"\nOutput too large (59.9KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-182-func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-183-\tvar err error\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-184-\ninternal/repository/node.go:185:\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-186-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-187-\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-188-\t\treturn 0, err\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-235-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-236-\tnodeState.NodeID = id\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-237-\ninternal/repository/node.go:238:\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-239-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-240-\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-241-\t\treturn err\n--\ninternal/repository/node.go-291-\t\t\t\tnode := schema.NodeDB{\ninternal/repository/node.go-292-\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-293-\t\t\t\t}\ninternal/repository/node.go:294:\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-295-\t\t\t\tif insertErr != nil {\ninternal/repository/node.go-296-\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n...\n"}]},"uuid":"d30021bc-4ee6-4b6e-b76e-08c23a46fd13","timestamp":"2026-03-16T10:19:06.464Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","timestamp":"2026-03-16T10:19:06.465Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.863Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":545,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"311dd5b9-e19e-4a97-aef9-c30a408d6c44"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","timestamp":"2026-03-16T10:19:06.864Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","type":"tool_result","content":" 545→func (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n 546→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n 547→\tif err != nil {\n 548→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n 549→\t\treturn\n 550→\t}\n 551→\n 552→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n 553→\tif err != nil {\n 554→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 555→\t\treturn\n 556→\t}\n 557→\n 558→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 559→\tif err != nil {\n 560→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n 561→\t\treturn\n 562→\t}\n 563→\n 564→\tvar req TagJobAPIRequest\n 565→\tif err := decode(r.Body, &req); err != nil {\n 566→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 567→\t\treturn\n 568→\t}\n 569→\n 570→\tfor _, tag := range req {\n 571→\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n 572→\t\tif err != nil {\n 573→\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n 574→\t\t\treturn\n 575→\t\t}\n 576→\n 577→\t\tjob.Tags = append(job.Tags, &schema.Tag{\n 578→\t\t\tID: tagID,\n 579→\t\t\tType: tag.Type,\n 580→\t\t\tName: tag.Name,\n 581→\t\t\tScope: tag.Scope,\n 582→\t\t})\n 583→\t}\n 584→\n 585→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 586→\trw.WriteHeader(http.StatusOK)\n 587→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n 588→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n 589→\t}\n 590→}\n 591→\n 592→// removeTagJob godoc\n 593→// @summary Removes one or more tags from a job\n 594→// @tags Job add and modify\n 595→// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n 596→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n 597→// @description If tagged job is already finished: Tag will be removed from respective archive files.\n 598→// @accept json\n 599→// @produce json\n 600→// @param id path int true \"Job Database ID\"\n 601→// @param request body api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n 602→// @success 200 {object} schema.Job \"Updated job resource\"\n 603→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 604→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 605→// @failure 404 {object} api.ErrorResponse \"Job or tag does not exist\"\n 606→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 607→// @security ApiKeyAuth\n 608→// @router /jobs/tag_job/{id} [delete]\n 609→func (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n 610→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n 611→\tif err != nil {\n 612→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n 613→\t\treturn\n 614→\t}\n 615→\n 616→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n 617→\tif err != nil {\n 618→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 619→\t\treturn\n 620→\t}\n 621→\n 622→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 623→\tif err != nil {\n 624→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n 625→\t\treturn\n 626→\t}\n 627→\n 628→\tvar req TagJobAPIRequest\n 629→\tif err := decode(r.Body, &req); err != nil {\n 630→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 631→\t\treturn\n 632→\t}\n 633→\n 634→\tfor _, rtag := range req {\n 635→\t\t// Only Global and Admin Tags\n 636→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n 637→\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n 638→\t\t\tcontinue\n 639→\t\t}\n 640→\n 641→\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n 642→\t\tif err != nil {\n 643→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n 644→\t\t\treturn\n 645→\t\t}\n 646→\n 647→\t\tjob.Tags = remainingTags\n 648→\t}\n 649→\n 650→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 651→\trw.WriteHeader(http.StatusOK)\n 652→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n 653→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n 654→\t}\n 655→}\n 656→\n 657→// removeTags godoc\n 658→// @summary Removes all tags and job-relations for type:name tuple\n 659→// @tags Tag remove\n 660→// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n 661→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n 662→// @description Tag wills be removed from respective archive files.\n 663→// @accept json\n 664→// @produce plain\n 665→// @param request body api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n 666→// @success 200 {string} string \"Success Response\"\n 667→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 668→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 669→// @failure 404 {object} api.ErrorResponse \"Job or tag does not exist\"\n 670→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 671→// @security ApiKeyAuth\n 672→// @router /tags/ [delete]\n 673→func (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n 674→\tvar req TagJobAPIRequest\n 675→\tif err := decode(r.Body, &req); err != nil {\n 676→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 677→\t\treturn\n 678→\t}\n 679→\n 680→\ttargetCount := len(req)\n 681→\tcurrentCount := 0\n 682→\tfor _, rtag := range req {\n 683→\t\t// Only Global and Admin Tags\n 684→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n 685→\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n 686→\t\t\tcontinue\n 687→\t\t}\n 688→\n 689→\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n 690→\t\tif err != nil {\n 691→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n 692→\t\t\treturn\n 693→\t\t}\n 694→\t\tcurrentCount++"}]},"uuid":"4640341b-02e3-4fc7-9da4-4b8ac5b807c2","timestamp":"2026-03-16T10:19:06.875Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","timestamp":"2026-03-16T10:19:07.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.284Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"0e2319e1-a334-406c-b861-a62b8cc4a2d1"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","timestamp":"2026-03-16T10:19:07.284Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","type":"tool_result","content":" 717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n 718→\treq := schema.Job{\n 719→\t\tShared: \"none\",\n 720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 721→\t}\n 722→\tif err := decode(r.Body, &req); err != nil {\n 723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 724→\t\treturn\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n 728→\treq.State = schema.JobStateRunning\n 729→\n 730→\tif err := importer.SanityChecks(&req); err != nil {\n 731→\t\thandleError(err, http.StatusBadRequest, rw)\n 732→\t\treturn\n 733→\t}\n 734→\n 735→\t// aquire lock to avoid race condition between API calls\n 736→\tvar unlockOnce sync.Once\n 737→\tapi.RepositoryMutex.Lock()\n 738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 739→\n 740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n 741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 742→\tif err != nil && err != sql.ErrNoRows {\n 743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n 744→\t\treturn\n 745→\t}\n 746→\tif err == nil {\n 747→\t\tfor _, job := range jobs {\n 748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n 749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n 751→\t\t\t\treturn\n 752→\t\t\t}\n 753→\t\t}\n 754→\t}\n 755→\n 756→\t// When tags are present, insert directly into the job table so that the\n 757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 758→\t// Jobs without tags use the cache path as before.\n 759→\tvar id int64\n 760→\tif len(req.Tags) > 0 {\n 761→\t\tid, err = api.JobRepository.StartDirect(&req)\n 762→\t} else {\n 763→\t\tid, err = api.JobRepository.Start(&req)\n 764→\t}\n 765→\tif err != nil {\n 766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n 767→\t\treturn\n 768→\t}\n 769→\t// unlock here, adding Tags can be async\n 770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 771→\n 772→\tfor _, tag := range req.Tags {\n 773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n 774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n 775→\t\t\treturn\n 776→\t\t}\n 777→\t}\n 778→\n 779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n 780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 781→\trw.WriteHeader(http.StatusCreated)\n 782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n 783→\t\tMessage: \"success\",\n 784→\t}); err != nil {\n 785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 786→\t}\n 787→}\n 788→\n 789→// stopJobByRequest godoc\n 790→// @summary Marks job as completed and triggers archiving\n 791→// @tags Job add and modify\n 792→// @description Job to stop is specified by request body. All fields are required in this case.\n 793→// @description Returns full job resource information according to 'Job' scheme.\n 794→// @produce json\n 795→// @param request body api.StopJobAPIRequest true \"All fields required\"\n 796→// @success 200 {object} schema.Job \"Success message\"\n 797→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 798→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 799→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 800→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 801→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: job has already been stopped\"\n 802→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 803→// @security ApiKeyAuth\n 804→// @router /api/jobs/stop_job/ [post]\n 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {"}]},"uuid":"d7765e85-64ef-4bf3-b716-26095eaada66","timestamp":"2026-03-16T10:19:07.295Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","timestamp":"2026-03-16T10:19:07.296Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.443Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ExpCisrNRq5BUKnBPYePbU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"b66e4a22-d59c-4183-b793-e7dc34d3321f"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","timestamp":"2026-03-16T10:19:07.444Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ExpCisrNRq5BUKnBPYePbU","type":"tool_result","content":" 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {\n 817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n 818→\t\treturn\n 819→\t}\n 820→\n 821→\tisCached := false\n 822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 823→\tif err != nil {\n 824→\t\t// Not in cache, try main job table\n 825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 826→\t\tif err != nil {\n 827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 828→\t\t\treturn\n 829→\t\t}\n 830→\t} else {\n 831→\t\tisCached = true\n 832→\t}\n 833→\n 834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n 835→}\n 836→\n 837→// deleteJobByID godoc\n 838→// @summary Remove a job from the sql database\n 839→// @tags Job remove\n 840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n 841→// @produce json\n 842→// @param id path int true \"Database ID of Job\"\n 843→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 844→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 845→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 846→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 847→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 848→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 849→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 850→// @security ApiKeyAuth\n 851→// @router /api/jobs/delete_job/{id} [delete]\n 852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n 853→\t// Fetch job (that will be stopped) from db\n 854→\tid := chi.URLParam(r, \"id\")\n 855→\tvar err error\n 856→\tif id != \"\" {\n 857→\t\tid, e := strconv.ParseInt(id, 10, 64)\n 858→\t\tif e != nil {\n 859→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n 860→\t\t\treturn\n 861→\t\t}\n 862→\n 863→\t\terr = api.JobRepository.DeleteJobByID(id)\n 864→\t} else {\n 865→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n 866→\t\treturn\n 867→\t}\n 868→\tif err != nil {\n 869→\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 870→\t\treturn\n 871→\t}\n 872→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 873→\trw.WriteHeader(http.StatusOK)\n 874→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n 875→\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n 876→\t}); err != nil {\n 877→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 878→\t}\n 879→}\n 880→\n 881→// deleteJobByRequest godoc\n 882→// @summary Remove a job from the sql database\n 883→// @tags Job remove\n 884→// @description Job to delete is specified by request body. All fields are required in this case.\n 885→// @accept json\n 886→// @produce json\n 887→// @param request body api.DeleteJobAPIRequest true \"All fields required\"\n 888→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 889→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 890→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 891→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 892→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 893→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 894→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 895→// @security ApiKeyAuth\n 896→// @router /api/jobs/delete_job/ [delete]\n 897→func (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 898→\t// Parse request body\n 899→\treq := DeleteJobAPIRequest{}\n 900→\tif err := decode(r.Body, &req); err != nil {\n 901→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 902→\t\treturn\n 903→\t}\n 904→"}]},"uuid":"e00c7de5-7f86-4b5f-8f7f-cddb9406d9d7","timestamp":"2026-03-16T10:19:07.464Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"63ba61f9-1114-4898-baad-474edfedd759","timestamp":"2026-03-16T10:19:07.466Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"63ba61f9-1114-4898-baad-474edfedd759","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.761Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VVzsEq2zrzmDM8J7qwuDap","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NFnLwMGv6raw9XimgVjK7u","name":"Bash","input":{"command":"grep -n \"func Retention\\|func WALStaging\\|func MemoryUsageTracker\" /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3050,"cache_read_input_tokens":55679,"cache_creation":{"ephemeral_5m_input_tokens":3050,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b86vup7oxyHhW2vnRt","uuid":"67d9b01c-724f-44cb-878f-46ff14a46fcb"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0ebede23-3d49-4e70-aaf0-e517019d2c6f","timestamp":"2026-03-16T10:19:07.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0ebede23-3d49-4e70-aaf0-e517019d2c6f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NFnLwMGv6raw9XimgVjK7u","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:320:func Retention(wg *sync.WaitGroup, ctx context.Context) {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:383:func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go:118:func WALStaging(wg *sync.WaitGroup, ctx context.Context) {","is_error":false}]},"uuid":"dbef6f9e-107f-4e18-ba1d-c1505e9dda3c","timestamp":"2026-03-16T10:19:07.825Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3cf573ef-8967-471a-b143-7756ae901828","timestamp":"2026-03-16T10:19:07.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"8906c93f-4756-4ed1-9db1-3a07f271140c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Qpf28zLY44uQaMyphVp5G","type":"tool_result","content":"internal/repository/job.go-192-\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-193-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-194-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-195-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-196-\ninternal/repository/job.go:197:// Flush removes all data from job-related tables (jobtag, tag, job).\ninternal/repository/job.go-198-/ WARNING: This is a destructive operation that deletes all job data.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-199-// Use with extreme caution, typically only for testing or complete resets.\ninternal/repository/job.go:200:func (r *JobRepository) Flush() error {\ninternal/repository/job.go-201-\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\ninternal/repository/job.go-202-\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\ninternal/repository/job.go-203-\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-204-\t}\ninternal/repository/job.go-205-\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-253-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-254-\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-255-\treturn job.MetaData, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-256-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-257-\ninternal/repository/job.go:258:// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-259-// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\ninternal/repository/job.go:260:// Also triggers archive metadata update via archive.UpdateMetadata.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-261-//\ninternal/repository/job.go-262-/ Parameters:\ninternal/repository/job.go-263-/ - job: Job struct with valid ID, existing metadata will be fetched if not present\ninternal/repository/job.go-264-/ - key: Metadata key to set\ninternal/repository/job.go-265-/ - val: Metadata value to set\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-266-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-267-// Returns an error if the job is nil, metadata fetch fails, or database update fails.\ninternal/repository/job.go:268:func (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-269-\tif job == nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-270-\t\treturn fmt.Errorf(\"job cannot be nil\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-271-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-272-\ninternal/repository/job.go-273-\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-300-\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\ninternal/repository/job.go-301-\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-302-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-303-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-304-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\ninternal/repository/job.go:305:\treturn archive.UpdateMetadata(job, job.MetaData)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-306-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-307-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-308-// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-309-// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-310-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-381-\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-382-\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-383-\treturn job.EnergyFootprint, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-384-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-385-\ninternal/repository/job.go:386:// DeleteJobsBefore removes jobs older than the specified start time.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-387-// Optionally preserves tagged jobs to protect important data from deletion.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-388-// Cache entries for deleted jobs are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-389-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-390-// This is typically used for data retention policies and cleanup operations.\ninternal/repository/job.go-391-/ WARNING: This is a destructive operation that permanently deletes job records.\n--\ninternal/repository/job.go-394-/ - startTime: Unix timestamp, jobs with start_time < this value will be deleted\ninternal/repository/job.go-395-/ - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-396-// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-397-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-398-// Returns the count of deleted jobs or an error if the operation fails.\ninternal/repository/job.go:399:func (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-451-\t}\ninternal/repository/job.go-452-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-453-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-454-\tif err != nil {\ninternal/repository/job.go-455-\t\ts, _, _ := qd.ToSql()\ninternal/repository/job.go:456:\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-457-\t} else {\ninternal/repository/job.go:458:\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-459-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-460-\treturn cnt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-461-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-462-\ninternal/repository/job.go:463:// DeleteJobByID permanently removes a single job by its database ID.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-464-// Cache entries for the deleted job are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-465-//\ninternal/repository/job.go-466-/ Parameters:\ninternal/repository/job.go-467-/ - id: Database ID (primary key) of the job to delete\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-468-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-469-// Returns an error if the deletion fails.\ninternal/repository/job.go:470:func (r *JobRepository) DeleteJobByID(id int64) error {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-471-\t// Invalidate cache entries before deletion\ninternal/repository/job.go-472-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\ninternal/repository/job.go-473-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-474-\ninternal/repository/job.go-475-\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\ninternal/repository/job.go-476-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-477-\n\n[Showing results with pagination = limit: 100, offset: 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+{"parentUuid":"cc2fbd65-7f66-4b04-a1e4-2904a32db284","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NdeBas8R1dYs6xyiYPL8nD","type":"tool_result","content":" 320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n 321→\tms := GetMemoryStore()\n 322→\n 323→\twg.Go(func() {\n 324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 325→\t\tif err != nil {\n 326→\t\t\tcclog.Fatal(err)\n 327→\t\t}\n 328→\t\tif d <= 0 {\n 329→\t\t\treturn\n 330→\t\t}\n 331→\n 332→\t\ttickInterval := d / 2\n 333→\t\tif tickInterval <= 0 {\n 334→\t\t\treturn\n 335→\t\t}\n 336→\t\tticker := time.NewTicker(tickInterval)\n 337→\t\tdefer ticker.Stop()\n 338→\n 339→\t\tfor {\n 340→\t\t\tselect {\n 341→\t\t\tcase <-ctx.Done():\n 342→\t\t\t\treturn\n 343→\t\t\tcase <-ticker.C:\n 344→\t\t\t\tstate.mu.Lock()\n 345→\n 346→\t\t\t\tt := time.Now().Add(-d)\n 347→\n 348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n 349→\n 350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n 351→\n 352→\t\t\t\tfreed, err := Free(ms, t)\n 353→\t\t\t\tif err != nil {\n 354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n 355→\t\t\t\t} else {\n 356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n 357→\t\t\t\t}\n 358→\n 359→\t\t\t\tstate.mu.Unlock()\n 360→\n 361→\t\t\t\t// Clean up the buffer pool\n 362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n 363→\t\t\t}\n 364→\t\t}\n 365→\t})\n 366→}\n 367→\n 368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n 369→//\n 370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n 371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n 372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n 373→// performance issues.\n 374→//\n 375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n 376→// visibility into memory overhead from Go runtime structures and allocations.\n 377→//\n 378→// Parameters:\n 379→// - wg: WaitGroup to signal completion when context is cancelled\n 380→// - ctx: Context for cancellation signal\n 381→//\n 382→// The goroutine exits when ctx is cancelled.\n 383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n 384→\tms := GetMemoryStore()\n 385→\n 386→\twg.Go(func() {\n 387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n 388→\t\tfastInterval := 30 * time.Second\n 389→\n 390→\t\tif normalInterval <= 0 {\n 391→\t\t\treturn\n 392→\t\t}\n 393→\n 394→\t\tticker := time.NewTicker(normalInterval)\n 395→\t\tdefer ticker.Stop()\n 396→\t\tcurrentInterval := normalInterval\n 397→\n 398→\t\tfor {\n 399→\t\t\tselect {\n 400→\t\t\tcase <-ctx.Done():\n 401→\t\t\t\treturn\n 402→\t\t\tcase <-ticker.C:\n 403→\t\t\t\tvar mem runtime.MemStats\n 404→\t\t\t\truntime.ReadMemStats(&mem)\n 405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 408→\n 409→\t\t\t\tfreedExcluded := 0\n 410→\t\t\t\tfreedEmergency := 0\n 411→\t\t\t\tvar err error\n 412→\n 413→\t\t\t\tstate.mu.RLock()\n 414→\t\t\t\tlastRetention := state.lastRetentionTime\n 415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 416→\t\t\t\tstate.mu.RUnlock()\n 417→\n 418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)"}]},"uuid":"5b4c35c0-fc01-4022-a011-013b32741288","timestamp":"2026-03-16T10:19:09.204Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"364641d9-347b-41a2-a9db-960427401ea3","timestamp":"2026-03-16T10:19:09.403Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"364641d9-347b-41a2-a9db-960427401ea3","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:09.618Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wb4dkjYd4jwne2EgDyvMHQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":383,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":58729,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8Es9pmtCHDiNfBQfT","uuid":"68992642-791f-465b-a8aa-3025b7bb3643"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","timestamp":"2026-03-16T10:19:09.618Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HN9rNbdVCqsrRSEUmmGm2d","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→\t\"golang.org/x/sync/errgroup\"\n 59→)\n 60→\n 61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 64→var groupBy2column = map[model.Aggregate]string{\n 65→\tmodel.AggregateUser: \"job.hpc_user\",\n 66→\tmodel.AggregateProject: \"job.project\",\n 67→\tmodel.AggregateCluster: \"job.cluster\",\n 68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 69→}\n 70→\n 71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 73→// Column names match the AS aliases used in buildStatsQuery.\n 74→var sortBy2column = map[model.SortByAggregate]string{\n 75→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 76→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 77→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 78→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 80→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 82→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 83→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 84→}\n 85→\n 86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 87→//\n 88→// Parameters:\n 89→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 90→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 91→// - col: Column name to GROUP BY; empty string for total count without grouping\n 92→//\n 93→// Returns a SelectBuilder that produces either:\n 94→// - Single count: COUNT(job.id) when col is empty\n 95→// - Grouped counts: col, COUNT(job.id) when col is specified\n 96→//\n 97→// The kind parameter enables counting specific job categories:\n 98→// - \"running\": Only jobs with job_state = 'running'\n 99→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 100→// - empty: All jobs matching filters\n 101→func (r *JobRepository) buildCountQuery(\n 102→\tfilter []*model.JobFilter,\n 103→\tkind string,\n 104→\tcol string,\n 105→) sq.SelectBuilder {\n 106→\tvar query sq.SelectBuilder\n 107→\n 108→\tif col != \"\" {\n 109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 110→\t} else {\n 111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 112→\t}\n 113→\n 114→\tswitch kind {\n 115→\tcase \"running\":\n 116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n 117→\tcase \"short\":\n 118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 119→\t}\n 120→\n 121→\tfor _, f := range filter {\n 122→\t\tquery = BuildWhereClause(f, query)\n 123→\t}\n 124→\n 125→\treturn query\n 126→}\n 127→\n 128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 130→//\n 131→// Parameters:\n 132→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 133→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 134→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 135→// - reqFields: Set of requested field names; nil means compute all fields\n 136→func (r *JobRepository) buildStatsQuery(\n 137→\tfilter []*model.JobFilter,\n 138→\tcol string,\n 139→\tshortThreshold int,\n 140→\treqFields map[string]bool,\n 141→) sq.SelectBuilder {\n 142→\tnow := time.Now().Unix()\n 143→\n 144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 145→\tneed := func(field string) bool {\n 146→\t\treturn reqFields == nil || reqFields[field]\n 147→\t}\n 148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 149→\n 150→\t// Build column list\n 151→\tcolumns := make([]string, 0, 14)\n 152→\n 153→\tif col != \"\" {\n 154→\t\tcolumns = append(columns, col)\n 155→\t}\n 156→\n 157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 158→\n 159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 161→\t} else {\n 162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 163→\t}\n 164→\n 165→\tif need(\"totalWalltime\") {\n 166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 167→\t} else {\n 168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 169→\t}\n 170→\n 171→\tif need(\"totalNodes\") {\n 172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 173→\t} else {\n 174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 175→\t}\n 176→\n 177→\tif need(\"totalNodeHours\") {\n 178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 179→\t} else {\n 180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 181→\t}\n 182→\n 183→\tif need(\"totalCores\") {\n 184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 185→\t} else {\n 186→\t\tcolumns = append(columns, \"0 as totalCores\")\n 187→\t}\n 188→\n 189→\tif need(\"totalCoreHours\") {\n 190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 191→\t} else {\n 192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 193→\t}\n 194→\n 195→\tif need(\"totalAccs\") {\n 196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 197→\t} else {\n 198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 199→\t}\n 200→\n 201→\tif need(\"totalAccHours\") {\n 202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 203→\t} else {\n 204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 205→\t}\n 206→\n 207→\tif need(\"runningJobs\") {\n 208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 209→\t} else {\n 210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 211→\t}\n 212→\n 213→\tif need(\"shortJobs\") {\n 214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 215→\t} else {\n 216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 217→\t}\n 218→\n 219→\tquery := sq.Select(columns...).From(\"job\")\n 220→\tif col != \"\" {\n 221→\t\tquery = query.GroupBy(col)\n 222→\t}\n 223→\n 224→\tfor _, f := range filter {\n 225→\t\tquery = BuildWhereClause(f, query)\n 226→\t}\n 227→\n 228→\treturn query\n 229→}\n 230→\n 231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 234→func (r *JobRepository) JobsStatsGrouped(\n 235→\tctx context.Context,\n 236→\tfilter []*model.JobFilter,\n 237→\tpage *model.PageRequest,\n 238→\tsortBy *model.SortByAggregate,\n 239→\tgroupBy *model.Aggregate,\n 240→\treqFields map[string]bool,\n 241→) ([]*model.JobsStatistics, error) {\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\treturn stats, nil\n 329→}\n 330→\n 331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 332→//\n 333→// This method provides a single aggregate view of job metrics, useful for dashboard\n 334→// summaries and overall system utilization reports.\n 335→//\n 336→// Parameters:\n 337→// - ctx: Context for security checks and cancellation\n 338→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 339→//\n 340→// Returns a single-element slice containing aggregate statistics:\n 341→// - totalJobs, totalUsers, totalWalltime\n 342→// - totalNodeHours, totalCoreHours, totalAccHours\n 343→//\n 344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 345→// Security checks are applied via SecurityCheck to respect user access levels.\n 346→func (r *JobRepository) JobsStats(\n 347→\tctx context.Context,\n 348→\tfilter []*model.JobFilter,\n 349→\treqFields map[string]bool,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 388→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 389→\t\t\t})\n 390→\t}\n 391→\n 392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 393→\treturn stats, nil\n 394→}\n 395→\n 396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 397→// Returns 0.0 if the metric is not found or statType is invalid.\n 398→//\n 399→// Parameters:\n 400→// - job: Job struct with populated Statistics field\n 401→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 402→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 403→//\n 404→// Returns the requested statistic value or 0.0 if not found.\n 405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 406→\tif stats, ok := job.Statistics[metric]; ok {\n 407→\t\tswitch statType {\n 408→\t\tcase \"avg\":\n 409→\t\t\treturn stats.Avg\n 410→\t\tcase \"max\":\n 411→\t\t\treturn stats.Max\n 412→\t\tcase \"min\":\n 413→\t\t\treturn stats.Min\n 414→\t\tdefault:\n 415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 416→\t\t}\n 417→\t}\n 418→\n 419→\treturn 0.0\n 420→}\n 421→\n 422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 423→//\n 424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 425→// avoiding the overhead of calculating walltime and resource usage metrics.\n 426→//\n 427→// Parameters:\n 428→// - ctx: Context for security checks\n 429→// - filter: Filters to apply\n 430→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 431→//\n 432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 433→func (r *JobRepository) JobCountGrouped(\n 434→\tctx context.Context,\n 435→\tfilter []*model.JobFilter,\n 436→\tgroupBy *model.Aggregate,\n 437→) ([]*model.JobsStatistics, error) {\n 438→\tstart := time.Now()\n 439→\tcol := groupBy2column[*groupBy]\n 440→\tquery := r.buildCountQuery(filter, \"\", col)\n 441→\tquery, err := SecurityCheck(ctx, query)\n 442→\tif err != nil {\n 443→\t\treturn nil, err\n 444→\t}\n 445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 446→\tif err != nil {\n 447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 448→\t\treturn nil, err\n 449→\t}\n 450→\tdefer rows.Close()\n 451→\n 452→\tstats := make([]*model.JobsStatistics, 0, 100)\n 453→\n 454→\tfor rows.Next() {\n 455→\t\tvar id sql.NullString\n 456→\t\tvar cnt sql.NullInt64\n 457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 459→\t\t\treturn nil, err\n 460→\t\t}\n 461→\t\tif id.Valid {\n 462→\t\t\tstats = append(stats,\n 463→\t\t\t\t&model.JobsStatistics{\n 464→\t\t\t\t\tID: id.String,\n 465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 466→\t\t\t\t})\n 467→\t\t}\n 468→\t}\n 469→\n 470→\tif err := rows.Err(); err != nil {\n 471→\t\treturn nil, err\n 472→\t}\n 473→\n 474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 475→\treturn stats, nil\n 476→}\n 477→\n 478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 479→//\n 480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 482→//\n 483→// Parameters:\n 484→// - ctx: Context for security checks\n 485→// - filter: Filters to apply\n 486→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 487→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 488→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 489→//\n 490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 491→// Groups without matching jobs will have 0 for the added field.\n 492→func (r *JobRepository) AddJobCountGrouped(\n 493→\tctx context.Context,\n 494→\tfilter []*model.JobFilter,\n 495→\tgroupBy *model.Aggregate,\n 496→\tstats []*model.JobsStatistics,\n 497→\tkind string,\n 498→) ([]*model.JobsStatistics, error) {\n 499→\tstart := time.Now()\n 500→\tcol := groupBy2column[*groupBy]\n 501→\tquery := r.buildCountQuery(filter, kind, col)\n 502→\tquery, err := SecurityCheck(ctx, query)\n 503→\tif err != nil {\n 504→\t\treturn nil, err\n 505→\t}\n 506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 507→\tif err != nil {\n 508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 509→\t\treturn nil, err\n 510→\t}\n 511→\tdefer rows.Close()\n 512→\n 513→\tcounts := make(map[string]int)\n 514→\n 515→\tfor rows.Next() {\n 516→\t\tvar id sql.NullString\n 517→\t\tvar cnt sql.NullInt64\n 518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\tif id.Valid {\n 523→\t\t\tcounts[id.String] = int(cnt.Int64)\n 524→\t\t}\n 525→\t}\n 526→\n 527→\tif err := rows.Err(); err != nil {\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tswitch kind {\n 532→\tcase \"running\":\n 533→\t\tfor _, s := range stats {\n 534→\t\t\ts.RunningJobs = counts[s.ID]\n 535→\t\t}\n 536→\tcase \"short\":\n 537→\t\tfor _, s := range stats {\n 538→\t\t\ts.ShortJobs = counts[s.ID]\n 539→\t\t}\n 540→\t}\n 541→\n 542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 543→\treturn stats, nil\n 544→}\n 545→\n 546→// AddJobCount augments existing overall statistics with additional job counts by category.\n 547→//\n 548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 549→// to all statistics entries (typically just one).\n 550→//\n 551→// Parameters:\n 552→// - ctx: Context for security checks\n 553→// - filter: Filters to apply\n 554→// - stats: Existing statistics to augment (modified in-place)\n 555→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 556→//\n 557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 558→func (r *JobRepository) AddJobCount(\n 559→\tctx context.Context,\n 560→\tfilter []*model.JobFilter,\n 561→\tstats []*model.JobsStatistics,\n 562→\tkind string,\n 563→) ([]*model.JobsStatistics, error) {\n 564→\tstart := time.Now()\n 565→\tquery := r.buildCountQuery(filter, kind, \"\")\n 566→\tquery, err := SecurityCheck(ctx, query)\n 567→\tif err != nil {\n 568→\t\treturn nil, err\n 569→\t}\n 570→\tvar cnt sql.NullInt64\n 571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 573→\t\treturn nil, err\n 574→\t}\n 575→\n 576→\tcount := int(cnt.Int64)\n 577→\n 578→\tswitch kind {\n 579→\tcase \"running\":\n 580→\t\tfor _, s := range stats {\n 581→\t\t\ts.RunningJobs = count\n 582→\t\t}\n 583→\tcase \"short\":\n 584→\t\tfor _, s := range stats {\n 585→\t\t\ts.ShortJobs = count\n 586→\t\t}\n 587→\t}\n 588→\n 589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 590→\treturn stats, nil\n 591→}\n 592→\n 593→// AddHistograms augments statistics with distribution histograms for job properties.\n 594→//\n 595→// Generates histogram data for visualization of job duration, node count, core count,\n 596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 597→// on the requested resolution.\n 598→//\n 599→// Parameters:\n 600→// - ctx: Context for security checks\n 601→// - filter: Filters to apply to jobs included in histograms\n 602→// - stat: Statistics struct to augment (modified in-place)\n 603→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 604→//\n 605→// Populates these fields in stat:\n 606→// - HistDuration: Job duration distribution (zero-padded bins)\n 607→// - HistNumNodes: Node count distribution\n 608→// - HistNumCores: Core (hwthread) count distribution\n 609→// - HistNumAccs: Accelerator count distribution\n 610→//\n 611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 613→func (r *JobRepository) AddHistograms(\n 614→\tctx context.Context,\n 615→\tfilter []*model.JobFilter,\n 616→\tstat *model.JobsStatistics,\n 617→\tdurationBins *string,\n 618→) (*model.JobsStatistics, error) {\n 619→\tstart := time.Now()\n 620→\n 621→\tvar targetBinCount int\n 622→\tvar targetBinSize int\n 623→\tswitch *durationBins {\n 624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 625→\t\ttargetBinCount = 60\n 626→\t\ttargetBinSize = 60\n 627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 628→\t\ttargetBinCount = 72\n 629→\t\ttargetBinSize = 600\n 630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 631→\t\ttargetBinCount = 48\n 632→\t\ttargetBinSize = 3600\n 633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 634→\t\ttargetBinCount = 12\n 635→\t\ttargetBinSize = 21600\n 636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 637→\t\ttargetBinCount = 14\n 638→\t\ttargetBinSize = 43200\n 639→\tdefault: // 24h\n 640→\t\ttargetBinCount = 24\n 641→\t\ttargetBinSize = 3600\n 642→\t}\n 643→\n 644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n 645→\tg, gctx := errgroup.WithContext(ctx)\n 646→\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\n 649→\tg.Go(func() error {\n 650→\t\tvar err error\n 651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n 652→\t\tif err != nil {\n 653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 654→\t\t}\n 655→\t\treturn err\n 656→\t})\n 657→\tg.Go(func() error {\n 658→\t\tvar err error\n 659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n 660→\t\tif err != nil {\n 661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 662→\t\t}\n 663→\t\treturn err\n 664→\t})\n 665→\tg.Go(func() error {\n 666→\t\tvar err error\n 667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n 668→\t\tif err != nil {\n 669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 670→\t\t}\n 671→\t\treturn err\n 672→\t})\n 673→\tg.Go(func() error {\n 674→\t\tvar err error\n 675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n 676→\t\tif err != nil {\n 677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 678→\t\t}\n 679→\t\treturn err\n 680→\t})\n 681→\n 682→\tif err := g.Wait(); err != nil {\n 683→\t\treturn nil, err\n 684→\t}\n 685→\n 686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 687→\treturn stat, nil\n 688→}\n 689→\n 690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 691→//\n 692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 694→// use footprint data from database.\n 695→//\n 696→// Parameters:\n 697→// - ctx: Context for security checks\n 698→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 699→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 700→// - stat: Statistics struct to augment (modified in-place)\n 701→// - targetBinCount: Number of histogram bins (default: 10)\n 702→//\n 703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 704→//\n 705→// Binning algorithm:\n 706→// - Values normalized to metric's peak value from cluster configuration\n 707→// - Bins evenly distributed from 0 to peak\n 708→// - Pre-initialized with zeros for consistent visualization\n 709→//\n 710→// Limitations:\n 711→// - Running jobs: Limited to 5000 jobs for performance\n 712→// - Requires valid cluster configuration with metric peak values\n 713→// - Uses footprint statistic (avg/max/min) configured per metric\n 714→func (r *JobRepository) AddMetricHistograms(\n 715→\tctx context.Context,\n 716→\tfilter []*model.JobFilter,\n 717→\tmetrics []string,\n 718→\tstat *model.JobsStatistics,\n 719→\ttargetBinCount *int,\n 720→) (*model.JobsStatistics, error) {\n 721→\tstart := time.Now()\n 722→\n 723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 724→\tfor _, f := range filter {\n 725→\t\tif f.State != nil {\n 726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\t\t\t\treturn stat, nil\n 730→\t\t\t}\n 731→\t\t}\n 732→\t}\n 733→\n 734→\t// All other cases: Query and make bins in sqlite directly\n 735→\tfor _, m := range metrics {\n 736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 737→\t\tif err != nil {\n 738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 739→\t\t\tcontinue\n 740→\t\t}\n 741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 742→\t}\n 743→\n 744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 745→\treturn stat, nil\n 746→}\n 747→\n 748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 749→//\n 750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 752→//\n 753→// Parameters:\n 754→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 755→// - filters: Job filters to apply\n 756→//\n 757→// Returns histogram points with Value (from column) and Count (number of jobs).\n 758→func (r *JobRepository) jobsStatisticsHistogram(\n 759→\tctx context.Context,\n 760→\tvalue string,\n 761→\tfilters []*model.JobFilter,\n 762→) ([]*model.HistoPoint, error) {\n 763→\tstart := time.Now()\n 764→\tquery, qerr := SecurityCheck(ctx,\n 765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 766→\n 767→\tif qerr != nil {\n 768→\t\treturn nil, qerr\n 769→\t}\n 770→\n 771→\tfor _, f := range filters {\n 772→\t\tquery = BuildWhereClause(f, query)\n 773→\t}\n 774→\n 775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 776→\tif err != nil {\n 777→\t\tcclog.Error(\"Error while running query\")\n 778→\t\treturn nil, err\n 779→\t}\n 780→\tdefer rows.Close()\n 781→\n 782→\tpoints := make([]*model.HistoPoint, 0)\n 783→\t// is it possible to introduce zero values here? requires info about bincount\n 784→\tfor rows.Next() {\n 785→\t\tpoint := model.HistoPoint{}\n 786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 788→\t\t\treturn nil, err\n 789→\t\t}\n 790→\n 791→\t\tpoints = append(points, &point)\n 792→\t}\n 793→\n 794→\tif err := rows.Err(); err != nil {\n 795→\t\treturn nil, err\n 796→\t}\n 797→\n 798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 799→\treturn points, nil\n 800→}\n 801→\n 802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 803→//\n 804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 805→// histograms which only return bins with data. The value parameter should compute\n 806→// the bin number from job duration.\n 807→//\n 808→// Parameters:\n 809→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 810→// - filters: Job filters to apply\n 811→// - binSizeSeconds: Width of each bin in seconds\n 812→// - targetBinCount: Number of bins to pre-initialize\n 813→//\n 814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 816→//\n 817→// Algorithm:\n 818→// 1. Pre-initialize targetBinCount bins with zero counts\n 819→// 2. Query database for actual counts per bin\n 820→// 3. Match query results to pre-initialized bins by value\n 821→// 4. Bins without matches remain at zero\n 822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 823→\tctx context.Context,\n 824→\tvalue string,\n 825→\tfilters []*model.JobFilter,\n 826→\tbinSizeSeconds int,\n 827→\ttargetBinCount *int,\n 828→) ([]*model.HistoPoint, error) {\n 829→\tstart := time.Now()\n 830→\tquery, qerr := SecurityCheck(ctx,\n 831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 832→\n 833→\tif qerr != nil {\n 834→\t\treturn nil, qerr\n 835→\t}\n 836→\n 837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 840→\tfor i := 1; i <= *targetBinCount; i++ {\n 841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 842→\t\tpoints = append(points, &point)\n 843→\t}\n 844→\n 845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 846→\tbinMap := make(map[int]int, len(points))\n 847→\tfor i, p := range points {\n 848→\t\tbinMap[p.Value] = i\n 849→\t}\n 850→\n 851→\tfor _, f := range filters {\n 852→\t\tquery = BuildWhereClause(f, query)\n 853→\t}\n 854→\n 855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 856→\tif err != nil {\n 857→\t\tcclog.Error(\"Error while running query\")\n 858→\t\treturn nil, err\n 859→\t}\n 860→\tdefer rows.Close()\n 861→\n 862→\t// Match query results to pre-initialized bins using map lookup.\n 863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 864→\tfor rows.Next() {\n 865→\t\tpoint := model.HistoPoint{}\n 866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 868→\t\t\treturn nil, err\n 869→\t\t}\n 870→\n 871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 872→\t\t\tpoints[idx].Count = point.Count\n 873→\t\t}\n 874→\t}\n 875→\n 876→\tif err := rows.Err(); err != nil {\n 877→\t\treturn nil, err\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 881→\treturn points, nil\n 882→}\n 883→\n 884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 885→//\n 886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 888→// and computing bin assignments in SQL.\n 889→//\n 890→// Parameters:\n 891→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 892→// - filters: Job filters to apply\n 893→// - bins: Number of bins to generate\n 894→//\n 895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 896→//\n 897→// Algorithm:\n 898→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 899→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 900→// 3. Pre-initialize bins with min/max ranges based on peak value\n 901→// 4. Query database for counts per bin\n 902→// 5. Match results to pre-initialized bins\n 903→//\n 904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 905→// peak by 0.999999999 to avoid creating an extra bin.\n 906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 907→\tctx context.Context,\n 908→\tmetric string,\n 909→\tfilters []*model.JobFilter,\n 910→\tbins *int,\n 911→) (*model.MetricHistoPoints, error) {\n 912→\t// Peak value defines the upper bound for binning: values are distributed across\n 913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 914→\t// scan all clusters to find the maximum peak value.\n 915→\tvar metricConfig *schema.MetricConfig\n 916→\tvar peak float64\n 917→\tvar unit string\n 918→\tvar footprintStat string\n 919→\n 920→\t// Try to get metric config from filtered cluster\n 921→\tfor _, f := range filters {\n 922→\t\tif f.Cluster != nil {\n 923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 924→\t\t\tpeak = metricConfig.Peak\n 925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 926→\t\t\tfootprintStat = metricConfig.Footprint\n 927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 932→\t// This ensures histogram can accommodate all possible values\n 933→\tif peak == 0.0 {\n 934→\t\tfor _, c := range archive.Clusters {\n 935→\t\t\tfor _, m := range c.MetricConfig {\n 936→\t\t\t\tif m.Name == metric {\n 937→\t\t\t\t\tif m.Peak > peak {\n 938→\t\t\t\t\t\tpeak = m.Peak\n 939→\t\t\t\t\t}\n 940→\t\t\t\t\tif unit == \"\" {\n 941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 942→\t\t\t\t\t}\n 943→\t\t\t\t\tif footprintStat == \"\" {\n 944→\t\t\t\t\t\tfootprintStat = m.Footprint\n 945→\t\t\t\t\t}\n 946→\t\t\t\t}\n 947→\t\t\t}\n 948→\t\t}\n 949→\t}\n 950→\n 951→\t// Construct SQL histogram bins using normalized values.\n 952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 953→\tstart := time.Now()\n 954→\n 955→\t// Bin calculation formula:\n 956→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 957→\t// Special case: value == peak would create bin N+1, so we test for equality\n 958→\t// and multiply peak by 0.999999999 to force it into bin N.\n 959→\tbinQuery := fmt.Sprintf(`CAST(\n 960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 961→\t\t* %v as INTEGER )`,\n 962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 963→\n 964→\tmainQuery := sq.Select(\n 965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 966→\t\t`count(*) as count`,\n 967→\t).From(\"job\").Where(\n 968→\t\t\"JSON_VALID(footprint)\",\n 969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 970→\n 971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 972→\tif qerr != nil {\n 973→\t\treturn nil, qerr\n 974→\t}\n 975→\n 976→\tfor _, f := range filters {\n 977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 978→\t}\n 979→\n 980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 981→\n 982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 983→\tif err != nil {\n 984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 985→\t\treturn nil, err\n 986→\t}\n 987→\tdefer rows.Close()\n 988→\n 989→\t// Pre-initialize bins with calculated min/max ranges.\n 990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 992→\tbinStep := int(peak) / *bins\n 993→\tfor i := 1; i <= *bins; i++ {\n 994→\t\tbinMin := (binStep * (i - 1))\n 995→\t\tbinMax := (binStep * i)\n 996→\t\tidx := i\n 997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 998→\t\tpoints = append(points, &epoint)\n 999→\t}\n 1000→\n 1001→\t// Build a map from bin number to slice index for O(1) lookup.\n 1002→\tbinMap := make(map[int]int, len(points))\n 1003→\tfor i, p := range points {\n 1004→\t\tif p.Bin != nil {\n 1005→\t\t\tbinMap[*p.Bin] = i\n 1006→\t\t}\n 1007→\t}\n 1008→\n 1009→\t// Match query results to pre-initialized bins using map lookup.\n 1010→\tfor rows.Next() {\n 1011→\t\trpoint := model.MetricHistoPoint{}\n 1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1014→\t\t\treturn nil, err\n 1015→\t\t}\n 1016→\n 1017→\t\tif rpoint.Bin != nil {\n 1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1020→\t\t\t}\n 1021→\t\t}\n 1022→\t}\n 1023→\n 1024→\tif err := rows.Err(); err != nil {\n 1025→\t\treturn nil, err\n 1026→\t}\n 1027→\n 1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1029→\n 1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1031→\treturn &result, nil\n 1032→}\n 1033→\n 1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1035→//\n 1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1037→// fetching current metric averages from the metric backend (via metricdispatch).\n 1038→//\n 1039→// Parameters:\n 1040→// - metrics: List of metric names\n 1041→// - filters: Job filters (should filter to running jobs only)\n 1042→// - bins: Number of histogram bins\n 1043→//\n 1044→// Returns slice of MetricHistoPoints, one per metric.\n 1045→//\n 1046→// Limitations:\n 1047→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1048→// - Requires metric backend availability\n 1049→// - Bins based on metric peak values from cluster configuration\n 1050→//\n 1051→// Algorithm:\n 1052→// 1. Query first 5001 jobs to check count limit\n 1053→// 2. Load metric averages for all jobs via metricdispatch\n 1054→// 3. For each metric, create bins based on peak value\n 1055→// 4. Iterate averages and count jobs per bin\n 1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1057→\tctx context.Context,\n 1058→\tmetrics []string,\n 1059→\tfilters []*model.JobFilter,\n 1060→\tbins *int,\n 1061→) []*model.MetricHistoPoints {\n 1062→\t// Get Jobs\n 1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1064→\tif err != nil {\n 1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1066→\t\treturn nil\n 1067→\t}\n 1068→\tif len(jobs) > 5000 {\n 1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1070→\t\treturn nil\n 1071→\t}\n 1072→\n 1073→\t// Get AVGs from metric repo\n 1074→\tavgs := make([][]schema.Float, len(metrics))\n 1075→\tfor i := range avgs {\n 1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1077→\t}\n 1078→\n 1079→\tfor _, job := range jobs {\n 1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1081→\t\t\tcontinue\n 1082→\t\t}\n 1083→\n 1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1086→\t\t\treturn nil\n 1087→\t\t}\n 1088→\t}\n 1089→\n 1090→\t// Iterate metrics to fill endresult\n 1091→\tdata := make([]*model.MetricHistoPoints, 0)\n 1092→\tfor idx, metric := range metrics {\n 1093→\t\t// Get specific Peak or largest Peak\n 1094→\t\tvar metricConfig *schema.MetricConfig\n 1095→\t\tvar peak float64\n 1096→\t\tvar unit string\n 1097→\n 1098→\t\tfor _, f := range filters {\n 1099→\t\t\tif f.Cluster != nil {\n 1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1101→\t\t\t\tpeak = metricConfig.Peak\n 1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1103→\t\t\t}\n 1104→\t\t}\n 1105→\n 1106→\t\tif peak == 0.0 {\n 1107→\t\t\tfor _, c := range archive.Clusters {\n 1108→\t\t\t\tfor _, m := range c.MetricConfig {\n 1109→\t\t\t\t\tif m.Name == metric {\n 1110→\t\t\t\t\t\tif m.Peak > peak {\n 1111→\t\t\t\t\t\t\tpeak = m.Peak\n 1112→\t\t\t\t\t\t}\n 1113→\t\t\t\t\t\tif unit == \"\" {\n 1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1115→\t\t\t\t\t\t}\n 1116→\t\t\t\t\t}\n 1117→\t\t\t\t}\n 1118→\t\t\t}\n 1119→\t\t}\n 1120→\n 1121→\t\t// Make and fill bins\n 1122→\t\tpeakBin := int(peak) / *bins\n 1123→\n 1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1125→\t\tfor b := 0; b < *bins; b++ {\n 1126→\t\t\tcount := 0\n 1127→\t\t\tbindex := b + 1\n 1128→\t\t\tbmin := peakBin * b\n 1129→\t\t\tbmax := peakBin * (b + 1)\n 1130→\n 1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1132→\t\t\tfor _, val := range avgs[idx] {\n 1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1134→\t\t\t\t\tcount += 1\n 1135→\t\t\t\t}\n 1136→\t\t\t}\n 1137→\n 1138→\t\t\t// Append Bin to Metric Result Array\n 1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1140→\t\t\tpoints = append(points, &point)\n 1141→\t\t}\n 1142→\n 1143→\t\t// Append Metric Result Array to final results array\n 1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1145→\t\tdata = append(data, &result)\n 1146→\t}\n 1147→\n 1148→\treturn data\n 1149→}\n 1150→"}]},"uuid":"f9ec8bb1-eb87-4b8e-ba63-6c7359f1ebaf","timestamp":"2026-03-16T10:19:09.512Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3d727ce9-207b-48f2-939d-485b96ffc617","timestamp":"2026-03-16T10:19:09.655Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 408→\n 409→\t\t\t\tfreedExcluded := 0\n 410→\t\t\t\tfreedEmergency := 0\n 411→\t\t\t\tvar err error\n 412→\n 413→\t\t\t\tstate.mu.RLock()\n 414→\t\t\t\tlastRetention := state.lastRetentionTime\n 415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 416→\t\t\t\tstate.mu.RUnlock()\n 417→\n 418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 420→\t\t\t\t\tif err != nil {\n 421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 422→\t\t\t\t\t}\n 423→\n 424→\t\t\t\t\tif freedExcluded > 0 {\n 425→\t\t\t\t\t\tdebug.FreeOSMemory()\n 426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 427→\t\t\t\t\t}\n 428→\t\t\t\t}\n 429→\n 430→\t\t\t\truntime.ReadMemStats(&mem)\n 431→\t\t\t\tactualMemoryGB = 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hostDir, err)\n 143→\t\t\t\treturn nil\n 144→\t\t\t}\n 145→\n 146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n 147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n 148→\t\t\tif err != nil {\n 149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n 150→\t\t\t\treturn nil\n 151→\t\t\t}\n 152→\n 153→\t\t\tw := bufio.NewWriter(f)\n 154→\n 155→\t\t\t// Write file header magic if file is new (empty).\n 156→\t\t\tinfo, err := f.Stat()\n 157→\t\t\tif err == nil && info.Size() == 0 {\n 158→\t\t\t\tvar hdr [4]byte\n 159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n 160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n 161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n 162→\t\t\t\t\tf.Close()\n 163→\t\t\t\t\treturn nil\n 164→\t\t\t\t}\n 165→\t\t\t}\n 166→\n 167→\t\t\tws = &walFileState{f: f, w: w}\n 168→\t\t\thostFiles[hostDir] = ws\n 169→\t\t\treturn ws\n 170→\t\t}\n 171→\n 172→\t\tprocessMsg := func(msg *WALMessage) {\n 173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n 174→\t\t\tws := getOrOpenWAL(hostDir)\n 175→\t\t\tif ws == nil {\n 176→\t\t\t\treturn\n 177→\t\t\t}\n 178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n 179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n 180→\t\t\t}\n 181→\t\t}\n 182→\n 183→\t\tprocessRotate := func(req walRotateReq) {\n 184→\t\t\tws, ok := hostFiles[req.hostDir]\n 185→\t\t\tif ok && ws.f != nil {\n 186→\t\t\t\tws.w.Flush()\n 187→\t\t\t\tws.f.Close()\n 188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n 189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 191→\t\t\t\t}\n 192→\t\t\t\tdelete(hostFiles, req.hostDir)\n 193→\t\t\t}\n 194→\t\t\tclose(req.done)\n 195→\t\t}\n 196→\n 197→\t\tdrain := func() {\n 198→\t\t\tfor {\n 199→\t\t\t\tselect {\n 200→\t\t\t\tcase msg, ok := <-WALMessages:\n 201→\t\t\t\t\tif !ok {\n 202→\t\t\t\t\t\treturn\n 203→\t\t\t\t\t}\n 204→\t\t\t\t\tprocessMsg(msg)\n 205→\t\t\t\tcase req := <-walRotateCh:\n 206→\t\t\t\t\tprocessRotate(req)\n 207→\t\t\t\tdefault:\n 208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n 209→\t\t\t\t\tfor _, ws := range hostFiles {\n 210→\t\t\t\t\t\tif ws.f != nil {\n 211→\t\t\t\t\t\t\tws.w.Flush()\n 212→\t\t\t\t\t\t}\n 213→\t\t\t\t\t}\n 214→\t\t\t\t\treturn\n 215→\t\t\t\t}\n 216→\t\t\t}\n 217→\t\t}"}]},"uuid":"bad871d2-53e5-4b7c-857d-5ca2862605c0","timestamp":"2026-03-16T10:19:09.850Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","timestamp":"2026-03-16T10:19:09.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YWeUjG6Mv4X4dS191CEkVk","type":"tool_result","content":"908:// Execute runs a Squirrel UpdateBuilder statement against the database.\n915:func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n924:// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n932:func (r *JobRepository) MarkArchived(\n939:// UpdateEnergy calculates and updates the energy consumption for a job.\n951:func (r *JobRepository) UpdateEnergy(\n1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n1010:func (r *JobRepository) UpdateFootprint(","is_error":false}]},"uuid":"b5a6b318-c47c-4c75-a1d9-360319812431","timestamp":"2026-03-16T10:19:09.869Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fdb53a4c-76bc-428c-abc6-f13be9f301c6","timestamp":"2026-03-16T10:19:09.870Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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deleteJobBefore(rw http.ResponseWriter, r *http.Request) {\n993:func (api *RestAPI) checkAndHandleStopJob(rw http.ResponseWriter, job *schema.Job, req StopJobAPIRequest, isCached bool) {\n1055:func (api *RestAPI) getJobMetrics(rw http.ResponseWriter, r *http.Request) {\n1120:func (api *RestAPI) getUsedNodes(rw http.ResponseWriter, r *http.Request) {","is_error":false}]},"uuid":"aa0964c6-c75e-45ba-afbd-b57bf6adac08","timestamp":"2026-03-16T10:19:12.296Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"96538aab-3f04-4ce1-8d44-8aa28697e625","timestamp":"2026-03-16T10:19:12.297Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"42853b46-0307-4026-b9c3-cba832d977e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeAXSEun1yp9HgsSEHSEkD","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-124-\ninternal/archiver/archiveWorker.go-125-\t\t\tstart := time.Now()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-126-\t\t\t// not using meta data, called to load JobMeta into Cache?\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-127-\t\t\t// will fail if job meta not in repository\ninternal/archiver/archiveWorker.go-128-\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\ninternal/archiver/archiveWorker.go-129-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:130:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-131-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-132-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-133-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-134-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-135-\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-136-\t\t\t// Use shutdown context to allow cancellation\ninternal/archiver/archiveWorker.go-137-\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-138-\t\t\tif err != nil {\ninternal/archiver/archiveWorker.go-139-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:140:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-141-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-142-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-143-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-144-\ninternal/archiver/archiveWorker.go-145-\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-146-\ninternal/archiver/archiveWorker.go:147:\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-148-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-149-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-150-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-151-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-152-\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-153-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n--\ninternal/taskmanager/updateFootprintService.go-108-\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-109-\t\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-110-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-111-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-112-\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\ninternal/taskmanager/updateFootprintService.go-113-\t\t\t\t\t\tstmt := sq.Update(\"job\")\ninternal/taskmanager/updateFootprintService.go:114:\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-115-\t\t\t\t\t\tif err != nil {\ninternal/taskmanager/updateFootprintService.go-116-\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-117-\t\t\t\t\t\t\tce++\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-118-\t\t\t\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-119-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-120-\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-878-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-879-\ninternal/repository/job.go-880-\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-881-\treturn jobs, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-882-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-883-\ninternal/repository/job.go:884:// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-885-// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-886-//\ninternal/repository/job.go-887-/ Parameters:\ninternal/repository/job.go-888-/ - job: Database ID of the job to update\ninternal/repository/job.go-889-/ - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-890-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-891-// Returns an error if the database update fails.\ninternal/repository/job.go:892:func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-893-\t// Invalidate cache entries as monitoring status affects job state\ninternal/repository/job.go-894-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\ninternal/repository/job.go-895-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-896-\ninternal/repository/job.go-897-\tstmt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-898-\t\tSet(\"monitoring_status\", monitoringStatus).\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-995-\t\treturn stmt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-996-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-997-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-998-\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-999-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1000-\ninternal/repository/job.go:1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1002-// This is called for running jobs during intermediate updates or when archiving.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1003-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1004-// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1005-// The specific statistic type is defined in the cluster config's Footprint field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1006-// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1007-//\ninternal/repository/job.go-1008-/ Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\ninternal/repository/job.go-1009-/ the average CPU load across all nodes as \"cpu_load_avg\": 85.3\ninternal/repository/job.go:1010:func (r *JobRepository) UpdateFootprint(\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1011-\tstmt sq.UpdateBuilder,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1012-\tjobMeta *schema.Job,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1013-) (sq.UpdateBuilder, error) {\ninternal/repository/job.go-1014-\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1015-\tif err != nil {\ninternal/repository/job.go-1016-\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())"}]},"uuid":"e5e36eaa-7900-4af3-993b-b2c8da96baac","timestamp":"2026-03-16T10:19:13.589Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"99a8aead-73dd-4955-b399-2c2034eab6cf","timestamp":"2026-03-16T10:19:13.736Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"8ce39460-ca1c-465e-a658-9adc17f418de","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:13.975Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"bae63d3b-f26f-4c9e-8f18-6c305785f811"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","timestamp":"2026-03-16T10:19:13.976Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Edqe79j7zb4bx8wAxFD93","type":"tool_result","content":" 908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n 909→// This is a generic helper for executing pre-built update queries.\n 910→//\n 911→// Parameters:\n 912→// - stmt: Squirrel UpdateBuilder with prepared update query\n 913→//\n 914→// Returns an error if the execution fails.\n 915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n 916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n 918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n 919→\t}\n 920→\n 921→\treturn nil\n 922→}\n 923→\n 924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n 925→// This is a builder helper used when constructing multi-field update queries.\n 926→//\n 927→// Parameters:\n 928→// - stmt: Existing UpdateBuilder to modify\n 929→// - monitoringStatus: Monitoring status value to set\n 930→//\n 931→// Returns the modified UpdateBuilder for method chaining.\n 932→func (r *JobRepository) MarkArchived(\n 933→\tstmt sq.UpdateBuilder,\n 934→\tmonitoringStatus int32,\n 935→) sq.UpdateBuilder {\n 936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n 937→}\n 938→\n 939→// UpdateEnergy calculates and updates the energy consumption for a job.\n 940→// This is called for running jobs during intermediate updates or when archiving.\n 941→//\n 942→// Energy calculation formula:\n 943→// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n 944→// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n 945→//\n 946→// The calculation accounts for:\n 947→// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n 948→// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n 949→// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n 950→// - Rounding: Results rounded to 2 decimal places\n 951→func (r *JobRepository) UpdateEnergy(\n 952→\tstmt sq.UpdateBuilder,\n 953→\tjobMeta *schema.Job,\n 954→) (sq.UpdateBuilder, error) {\n 955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n 956→\tif err != nil {\n 957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 958→\t\treturn stmt, err\n 959→\t}\n 960→\tenergyFootprint := make(map[string]float64)\n 961→\n 962→\t// Accumulate total energy across all energy-related metrics\n 963→\ttotalEnergy := 0.0\n 964→\tfor _, fp := range sc.EnergyFootprint {\n 965→\t\t// Calculate energy for this specific metric\n 966→\t\tmetricEnergy := 0.0\n 967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n 968→\t\t\tswitch sc.MetricConfig[i].Energy {\n 969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n 970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n 971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n 972→\t\t\tcase \"power\": // Metric in power units (Watts)\n 973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n 974→\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n 975→\t\t\t\t//\n 976→\t\t\t\t// Breakdown:\n 977→\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n 978→\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n 979→\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n 980→\t\t\t\t// / 1000.0 = convert Wh to kWh\n 981→\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n 982→\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n 983→\t\t\t}\n 984→\t\t} else {\n 985→\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n 986→\t\t}\n 987→\n 988→\t\tenergyFootprint[fp] = metricEnergy\n 989→\t\ttotalEnergy += metricEnergy\n 990→\t}\n 991→\n 992→\tvar rawFootprint []byte\n 993→\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n 994→\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n 995→\t\treturn stmt, err\n 996→\t}\n 997→\n 998→\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n 999→}\n 1000→\n 1001→// UpdateFootprint calculates and updates the performance footprint for a job.\n 1002→// This is called for running jobs during intermediate updates or when archiving.\n 1003→//\n 1004→// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n 1005→// The specific statistic type is defined in the cluster config's Footprint field.\n 1006→// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n 1007→//"}]},"uuid":"e5673981-f132-4961-9abe-15b06319e973","timestamp":"2026-03-16T10:19:13.771Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","timestamp":"2026-03-16T10:19:14.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","type":"tool_result","content":" 717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n 718→\treq := schema.Job{\n 719→\t\tShared: \"none\",\n 720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 721→\t}\n 722→\tif err := decode(r.Body, &req); err != nil {\n 723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 724→\t\treturn\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n 728→\treq.State = schema.JobStateRunning\n 729→\n 730→\tif err := importer.SanityChecks(&req); err != nil {\n 731→\t\thandleError(err, http.StatusBadRequest, rw)\n 732→\t\treturn\n 733→\t}\n 734→\n 735→\t// aquire lock to avoid race condition between API calls\n 736→\tvar unlockOnce sync.Once\n 737→\tapi.RepositoryMutex.Lock()\n 738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 739→\n 740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n 741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 742→\tif err != nil && err != sql.ErrNoRows {\n 743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n 744→\t\treturn\n 745→\t}\n 746→\tif err == nil {\n 747→\t\tfor _, job := range jobs {\n 748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n 749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n 751→\t\t\t\treturn\n 752→\t\t\t}\n 753→\t\t}\n 754→\t}\n 755→\n 756→\t// When tags are present, insert directly into the job table so that the\n 757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 758→\t// Jobs without tags use the cache path as before.\n 759→\tvar id int64\n 760→\tif len(req.Tags) > 0 {\n 761→\t\tid, err = api.JobRepository.StartDirect(&req)\n 762→\t} else {\n 763→\t\tid, err = api.JobRepository.Start(&req)\n 764→\t}\n 765→\tif err != nil {\n 766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n 767→\t\treturn\n 768→\t}\n 769→\t// unlock here, adding Tags can be async\n 770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 771→\n 772→\tfor _, tag := range req.Tags {\n 773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n 774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n 775→\t\t\treturn\n 776→\t\t}\n 777→\t}\n 778→\n 779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n 780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 781→\trw.WriteHeader(http.StatusCreated)\n 782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n 783→\t\tMessage: \"success\",\n 784→\t}); err != nil {\n 785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 786→\t}\n 787→}\n 788→\n 789→// stopJobByRequest godoc\n 790→// @summary Marks job as completed and triggers archiving\n 791→// @tags Job add and modify\n 792→// @description Job to stop is specified by request body. All fields are required in this case.\n 793→// @description Returns full job resource information according to 'Job' scheme.\n 794→// @produce json\n 795→// @param request body api.StopJobAPIRequest true \"All fields required\"\n 796→// @success 200 {object} schema.Job \"Success message\"\n 797→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 798→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 799→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 800→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 801→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: job has already been stopped\"\n 802→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 803→// @security ApiKeyAuth\n 804→// @router /api/jobs/stop_job/ [post]\n 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {"}]},"uuid":"a274be55-d640-456c-9e22-e782ce31fc30","timestamp":"2026-03-16T10:19:14.003Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"eedddb18-4742-4003-a973-e48465fa8814","timestamp":"2026-03-16T10:19:14.246Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"eedddb18-4742-4003-a973-e48465fa8814","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.458Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KxgnFecKv137Seew4smC9q","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"82d077e4-6f08-481d-9252-952867eacd24"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","timestamp":"2026-03-16T10:19:14.458Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KxgnFecKv137Seew4smC9q","type":"tool_result","content":" 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {\n 817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n 818→\t\treturn\n 819→\t}\n 820→\n 821→\tisCached := false\n 822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 823→\tif err != nil {\n 824→\t\t// Not in cache, try main job table\n 825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 826→\t\tif err != nil {\n 827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 828→\t\t\treturn\n 829→\t\t}\n 830→\t} else {\n 831→\t\tisCached = true\n 832→\t}\n 833→\n 834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n 835→}\n 836→\n 837→// deleteJobByID godoc\n 838→// @summary Remove a job from the sql database\n 839→// @tags Job remove\n 840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n 841→// @produce json\n 842→// @param id path int true \"Database ID of Job\"\n 843→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 844→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 845→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 846→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 847→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 848→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 849→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 850→// @security ApiKeyAuth\n 851→// @router /api/jobs/delete_job/{id} [delete]\n 852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n 853→\t// Fetch job (that will be stopped) from db\n 854→\tid := chi.URLParam(r, \"id\")"}]},"uuid":"1004fea2-e9da-4776-b7a7-1d7d31a5018a","timestamp":"2026-03-16T10:19:14.465Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","timestamp":"2026-03-16T10:19:14.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.606Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"f58dec96-e4dd-4426-9035-537ce3c08a7d"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","timestamp":"2026-03-16T10:19:14.606Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}"}]},"uuid":"085bc42c-e966-4db3-a9ee-dd5f0a17f0b2","timestamp":"2026-03-16T10:19:14.612Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","timestamp":"2026-03-16T10:19:14.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.708Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"b0ab6579-85df-4bb4-97a3-7052f0e1cb3d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","timestamp":"2026-03-16T10:19:15.709Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n 68→\t// when the database is under contention.\n 69→\tjobSem chan struct{}\n 70→\t// nodeSem limits concurrent NATS node state processing.\n 71→\tnodeSem chan struct{}\n 72→}\n 73→\n 74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 75→func NewNatsAPI() *NatsAPI {\n 76→\treturn &NatsAPI{\n 77→\t\tJobRepository: repository.GetJobRepository(),\n 78→\t\tjobSem: make(chan struct{}, 8),\n 79→\t\tnodeSem: make(chan struct{}, 2),\n 80→\t}\n 81→}\n 82→\n 83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 84→// Returns an error if the NATS client is not available or subscription fails.\n 85→func (api *NatsAPI) StartSubscriptions() error {\n 86→\tclient := nats.GetClient()\n 87→\tif client == nil {\n 88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 89→\t\treturn nil\n 90→\t}\n 91→\n 92→\tif config.Keys.APISubjects != nil {\n 93→\n 94→\t\ts := config.Keys.APISubjects\n 95→\n 96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 101→\t\t\treturn err\n 102→\t\t}\n 103→\n 104→\t\tcclog.Info(\"NATS API subscriptions started\")\n 105→\t}\n 106→\treturn nil\n 107→}\n 108→\n 109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 110→// Validates that required tags and fields are present before processing.\n 111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 112→\tfunction, ok := msg.GetTag(\"function\")\n 113→\tif !ok {\n 114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 115→\t\treturn\n 116→\t}\n 117→\n 118→\tswitch function {\n 119→\tcase \"start_job\":\n 120→\t\tv, ok := msg.GetEventValue()\n 121→\t\tif !ok {\n 122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 123→\t\t\treturn\n 124→\t\t}\n 125→\t\tapi.handleStartJob(v)\n 126→\n 127→\tcase \"stop_job\":\n 128→\t\tv, ok := msg.GetEventValue()\n 129→\t\tif !ok {\n 130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 131→\t\t\treturn\n 132→\t\t}\n 133→\t\tapi.handleStopJob(v)\n 134→\n 135→\tdefault:\n 136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 137→\t}\n 138→}\n 139→\n 140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 141→// The message must be in line protocol format with measurement=\"job\" and include:\n 142→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 143→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 144→//\n 145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 147→\tapi.jobSem <- struct{}{}\n 148→\tdefer func() { <-api.jobSem }()\n 149→\n 150→\tif len(data) == 0 {"}]},"uuid":"86fde437-b528-499c-a1d7-5fa79121d4a3","timestamp":"2026-03-16T10:19:15.717Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","timestamp":"2026-03-16T10:19:15.867Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.882Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HahBbYCKyf8KVzypEHQotP","name":"Bash","input":{"command":"wc -l /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"12a3e1f9-a6b4-4706-bc5e-1345897c7f17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b55e94a0-e58c-4c81-95c2-6789d10936a7","timestamp":"2026-03-16T10:19:15.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"68f5754b-7cf9-4b2d-bbfc-d177301f4c06","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:16.400Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VjfnbU7PGJZtR2tHqRHTPg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CGZx3Tcha15fXatnAhrEZW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4432,"cache_read_input_tokens":63505,"cache_creation":{"ephemeral_5m_input_tokens":4432,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8jxNkH5bm2EPZiypE","uuid":"3d8d228c-0361-46c0-aac4-d9c2f1133428"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","timestamp":"2026-03-16T10:19:16.400Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CGZx3Tcha15fXatnAhrEZW","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n 68→\t// when the database is under contention.\n 69→\tjobSem chan struct{}\n 70→\t// nodeSem limits concurrent NATS node state processing.\n 71→\tnodeSem chan struct{}\n 72→}\n 73→\n 74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 75→func NewNatsAPI() *NatsAPI {\n 76→\treturn &NatsAPI{\n 77→\t\tJobRepository: repository.GetJobRepository(),\n 78→\t\tjobSem: make(chan struct{}, 8),\n 79→\t\tnodeSem: make(chan struct{}, 2),\n 80→\t}\n 81→}\n 82→\n 83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 84→// Returns an error if the NATS client is not available or subscription fails.\n 85→func (api *NatsAPI) StartSubscriptions() error {\n 86→\tclient := nats.GetClient()\n 87→\tif client == nil {\n 88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 89→\t\treturn nil\n 90→\t}\n 91→\n 92→\tif config.Keys.APISubjects != nil {\n 93→\n 94→\t\ts := config.Keys.APISubjects\n 95→\n 96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 101→\t\t\treturn err\n 102→\t\t}\n 103→\n 104→\t\tcclog.Info(\"NATS API subscriptions started\")\n 105→\t}\n 106→\treturn nil\n 107→}\n 108→\n 109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 110→// Validates that required tags and fields are present before processing.\n 111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 112→\tfunction, ok := msg.GetTag(\"function\")\n 113→\tif !ok {\n 114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 115→\t\treturn\n 116→\t}\n 117→\n 118→\tswitch function {\n 119→\tcase \"start_job\":\n 120→\t\tv, ok := msg.GetEventValue()\n 121→\t\tif !ok {\n 122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 123→\t\t\treturn\n 124→\t\t}\n 125→\t\tapi.handleStartJob(v)\n 126→\n 127→\tcase \"stop_job\":\n 128→\t\tv, ok := msg.GetEventValue()\n 129→\t\tif !ok {\n 130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 131→\t\t\treturn\n 132→\t\t}\n 133→\t\tapi.handleStopJob(v)\n 134→\n 135→\tdefault:\n 136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 137→\t}\n 138→}\n 139→\n 140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 141→// The message must be in line protocol format with measurement=\"job\" and include:\n 142→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 143→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 144→//\n 145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 147→\tapi.jobSem <- struct{}{}\n 148→\tdefer func() { <-api.jobSem }()\n 149→\n 150→\tif len(data) == 0 {"}]},"uuid":"187897f4-6a9a-44cb-ad1f-d7a698c576a8","timestamp":"2026-03-16T10:19:16.416Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","timestamp":"2026-03-16T10:19:16.419Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:18.309Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EmBZYDssK9ok5twV5QcsX9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EFmxeD8gVgyH1WgTPW88hX","name":"Bash","input":{"command":"grep -n \"AddTag\\|RemoveTag\\|ImportTag\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/*.go 2>/dev/null | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":2497,"cache_read_input_tokens":70433,"cache_creation":{"ephemeral_5m_input_tokens":2497,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8qNp71XkU3Zosq3Fx","uuid":"ed4f04c2-7019-4202-9841-97b507e3c35c"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"61286d25-7ea0-424e-b07e-7d2769888610","timestamp":"2026-03-16T10:19:18.310Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"61286d25-7ea0-424e-b07e-7d2769888610","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EFmxeD8gVgyH1WgTPW88hX","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165:// AddTagsToJob is the resolver for the addTagsToJob field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:166:func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:199:\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:212:// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:213:func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:246:\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:260:// RemoveTagFromList is the resolver for the removeTagFromList field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:261:func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:287:\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {","is_error":false}]},"uuid":"1ed58b00-7d13-4343-842b-8d8e2b5eacd1","timestamp":"2026-03-16T10:19:18.340Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7f87330e-b48b-4a36-9f0e-c8baa67251ac","timestamp":"2026-03-16T10:19:18.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7f87330e-b48b-4a36-9f0e-c8baa67251ac","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:18.385Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EmBZYDssK9ok5twV5QcsX9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017LdiFW1QM3rMLBTuQ6CJjq","name":"Bash","input":{"command":"find /Users/jan/prg/ClusterCockpit/cc-backend -name \"*resolver*\" -type f | head -5"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":2497,"cache_read_input_tokens":70433,"cache_creation":{"ephemeral_5m_input_tokens":2497,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8qNp71XkU3Zosq3Fx","uuid":"33ee88a3-42d0-4884-a264-9429dd263a5c"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"5890adcf-6fb3-4b06-aba6-7b4d214265f7","timestamp":"2026-03-16T10:19:18.385Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"d8731946-abff-4cfa-a1e9-76475a1b2d16","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016H5RJKfCjDuuicn8ZMGcPE","type":"tool_result","content":" 165→// AddTagsToJob is the resolver for the addTagsToJob field.\n 166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 167→\tuser := repository.GetUserFromContext(ctx)\n 168→\tif user == nil {\n 169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 170→\t}\n 171→\n 172→\tjid, err := strconv.ParseInt(job, 10, 64)\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"Error while adding tag to job\")\n 175→\t\treturn nil, err\n 176→\t}\n 177→\n 178→\ttags := []*schema.Tag{}\n 179→\tfor _, tagID := range tagIds {\n 180→\t\t// Get ID\n 181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 182→\t\tif err != nil {\n 183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 184→\t\t\treturn nil, err\n 185→\t\t}\n 186→\n 187→\t\t// Test Exists\n 188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 189→\t\tif !exists {\n 190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 192→\t\t}\n 193→\n 194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 197→\t\t\tuser.Username == tscope {\n 198→\t\t\t// Add to Job\n 199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n 200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n 201→\t\t\t\treturn nil, err\n 202→\t\t\t}\n 203→\t\t} else {\n 204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n 205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n 206→\t\t}\n 207→\t}\n 208→\n 209→\treturn tags, nil\n 210→}\n 211→\n 212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n 213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 214→\tuser := repository.GetUserFromContext(ctx)\n 215→\tif user == nil {\n 216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 217→\t}\n 218→\n 219→\tjid, err := strconv.ParseInt(job, 10, 64)\n 220→\tif err != nil {\n 221→\t\tcclog.Warn(\"Error while parsing job id\")\n 222→\t\treturn nil, err\n 223→\t}\n 224→\n 225→\ttags := []*schema.Tag{}\n 226→\tfor _, tagID := range tagIds {\n 227→\t\t// Get ID\n 228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 229→\t\tif err != nil {\n 230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 231→\t\t\treturn nil, err\n 232→\t\t}\n 233→\n 234→\t\t// Test Exists\n 235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 236→\t\tif !exists {\n 237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 239→\t\t}\n 240→\n 241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 244→\t\t\tuser.Username == tscope {\n 245→\t\t\t// Remove from Job\n 246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n 247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 248→\t\t\t\treturn nil, err\n 249→\t\t\t}\n 250→\t\t} else {\n 251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 253→\t\t}\n 254→\n 255→\t}\n 256→\n 257→\treturn tags, nil\n 258→}\n 259→\n 260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n 261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n 262→\t// Needs Contextuser\n 263→\tuser := repository.GetUserFromContext(ctx)\n 264→\tif user == nil {\n 265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 266→\t}\n 267→\n 268→\ttags := []int{}\n 269→\tfor _, tagID := range tagIds {\n 270→\t\t// Get ID\n 271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 272→\t\tif err != nil {\n 273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n 274→\t\t\treturn nil, err\n 275→\t\t}\n 276→\n 277→\t\t// Test Exists\n 278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 279→\t\tif !exists {\n 280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 282→\t\t}\n 283→\n 284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n 285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n 286→\t\t\t// Remove from DB\n 287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n 288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 289→\t\t\t\treturn nil, err\n 290→\t\t\t} else {\n 291→\t\t\t\ttags = append(tags, int(tid))\n 292→\t\t\t}\n 293→\t\t} else {\n 294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 296→\t\t}\n 297→\t}\n 298→\treturn tags, nil\n 299→}\n 300→\n 301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n 302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n 303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n 304→\t\tcclog.Warn(\"Error while updating user config\")\n 305→\t\treturn nil, err\n 306→\t}\n 307→\n 308→\treturn nil, nil\n 309→}\n 310→\n 311→// ID is the resolver for the id field.\n 312→func (r *nodeResolver) ID(ctx 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+{"parentUuid":"faefbf0d-53f5-4bf4-b18b-fb8579bee129","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FnzoiiUammdo3Y4TyzbbMJ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"sync\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 12→)\n 13→\n 14→// JobHook interface allows external components to hook into job lifecycle events.\n 15→// Implementations can perform actions when jobs start or stop, such as tagging,\n 16→// logging, notifications, or triggering external workflows.\n 17→//\n 18→// Example implementation:\n 19→//\n 20→//\ttype MyJobTagger struct{}\n 21→//\n 22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n 23→//\t if job.NumNodes > 100 {\n 24→//\t // Tag large jobs automatically\n 25→//\t }\n 26→//\t}\n 27→//\n 28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n 29→//\t if job.State == schema.JobStateFailed {\n 30→//\t // Log or alert on failed jobs\n 31→//\t }\n 32→//\t}\n 33→//\n 34→// Register hooks during application initialization:\n 35→//\n 36→//\trepository.RegisterJobHook(&MyJobTagger{})\n 37→type JobHook interface {\n 38→\t// JobStartCallback is invoked when one or more jobs start.\n 39→\t// This is called synchronously, so implementations should be fast.\n 40→\tJobStartCallback(job *schema.Job)\n 41→\n 42→\t// JobStopCallback is invoked when a job completes.\n 43→\t// This is called synchronously, so implementations should be fast.\n 44→\tJobStopCallback(job *schema.Job)\n 45→}\n 46→\n 47→var (\n 48→\tinitOnce sync.Once\n 49→\thooks []JobHook\n 50→)\n 51→\n 52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n 53→// Multiple hooks can be registered and will be called in registration order.\n 54→// This function is safe to call multiple times and is typically called during\n 55→// application initialization.\n 56→//\n 57→// Nil hooks are silently ignored to simplify conditional registration.\n 58→func RegisterJobHook(hook JobHook) {\n 59→\tinitOnce.Do(func() {\n 60→\t\thooks = make([]JobHook, 0)\n 61→\t})\n 62→\n 63→\tif hook != nil {\n 64→\t\thooks = append(hooks, hook)\n 65→\t}\n 66→}\n 67→\n 68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n 69→// for each job in the provided slice. This is called internally by the repository\n 70→// when jobs are started (e.g., via StartJob or batch job imports).\n 71→//\n 72→// Hooks are called synchronously in registration order. If a hook panics,\n 73→// the panic will propagate to the caller.\n 74→func CallJobStartHooks(jobs []*schema.Job) {\n 75→\tif hooks == nil {\n 76→\t\treturn\n 77→\t}\n 78→\n 79→\tfor _, hook := range hooks {\n 80→\t\tif hook != nil {\n 81→\t\t\tfor _, job := range jobs {\n 82→\t\t\t\thook.JobStartCallback(job)\n 83→\t\t\t}\n 84→\t\t}\n 85→\t}\n 86→}\n 87→\n 88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n 89→// for the provided job. This is called internally by the repository when a\n 90→// job completes (e.g., via StopJob or job state updates).\n 91→//\n 92→// Hooks are called synchronously in registration order. If a hook panics,\n 93→// the panic will propagate to the caller.\n 94→func CallJobStopHooks(job *schema.Job) {\n 95→\tif hooks == nil {\n 96→\t\treturn\n 97→\t}\n 98→\n 99→\tfor _, hook := range hooks {\n 100→\t\tif hook != nil {\n 101→\t\t\thook.JobStopCallback(job)\n 102→\t\t}\n 103→\t}\n 104→}\n 105→"}]},"uuid":"b911bce7-395e-412e-a966-d781e9c14fc6","timestamp":"2026-03-16T10:19:23.437Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"4015c718-ec8c-4984-a344-ff54bb096e93","timestamp":"2026-03-16T10:19:23.654Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4015c718-ec8c-4984-a344-ff54bb096e93","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:23.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GBDxhMxTpkmVfmQ7w4F6Vv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016g2hdJTVJZW52ubz9djexE","name":"Bash","input":{"command":"grep -n \"CallJobStopHooks\\|TriggerArchiving\\|jobSem\\|nodeSem\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3441,"cache_read_input_tokens":72930,"cache_creation":{"ephemeral_5m_input_tokens":3441,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b99tnw8Fr28GyRmKv8","uuid":"5df9c3ad-36b3-4721-b765-cac5d87b2e38"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b65691f-33e3-4958-b0b7-15e0c879884f","timestamp":"2026-03-16T10:19:23.698Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2b65691f-33e3-4958-b0b7-15e0c879884f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016g2hdJTVJZW52ubz9djexE","type":"tool_result","content":"67:\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n69:\tjobSem chan struct{}\n70:\t// nodeSem limits concurrent NATS node state processing.\n71:\tnodeSem chan struct{}\n78:\t\tjobSem: make(chan struct{}, 8),\n79:\t\tnodeSem: make(chan struct{}, 2),\n147:\tapi.jobSem <- struct{}{}\n148:\tdefer func() { <-api.jobSem }()\n334:\tarchiver.TriggerArchiving(job)\n390:\tapi.nodeSem <- struct{}{}\n391:\tdefer func() { <-api.nodeSem }()","is_error":false}]},"uuid":"6af661ff-1954-485e-9d45-08ca787e634c","timestamp":"2026-03-16T10:19:23.728Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"554849d2-c5a1-4c76-9911-32006d339edb","timestamp":"2026-03-16T10:19:23.729Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"554849d2-c5a1-4c76-9911-32006d339edb","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","toolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","timestamp":"2026-03-16T10:19:56.246Z","uuid":"725e4d7d-5c3c-486b-b54d-6505f67f371a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","type":"tool_result","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n → TagID lookup (SELECT)\n → CreateTag (INSERT) if missing\n → AddTag (INSERT into jobtag)\n → GetTags (SELECT)\n → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n → FetchMetadata (SELECT)\n → ArchiveJob() (file writes + calculations)\n → UpdateFootprint (UPDATE)\n → UpdateEnergy (UPDATE) \n → MarkArchived (UPDATE)\n → Execute(stmt) (single UPDATE with 3 SET clauses)\n → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n → Read JSON files\n → archive.ImportJob() (file write)\n → InsertJobDirect (INSERT)\n → for each tag in job.Tags {\n → ImportTag() (SELECT + INSERT per tag)\n }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n - 1 job INSERT per job\n - N tag operations (SELECT + INSERT) per job\n - No transaction wrapping job + all its tags\n \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n res, err := r.DB.Exec(\n \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n if err != nil { return 0, ... }\n \n newID, err := res.LastInsertId()\n if err != nil { return 0, ... }\n \n _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID) // SEPARATE OPERATION\n if err != nil { return 0, ... }\n \n return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID) // SELECT all job IDs\n \n qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n go r.removeTagFromArchiveJobs(jobIds) // ASYNC goroutine\n \n return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n // Lookup tag\n _, _, tscope, exists := r.Repo.TagInfo(tid)\n // Authorization check\n // Add/Remove\n if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n jobSem chan struct{} // capacity 8\n nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n api.jobSem <- struct{}{} // acquire semaphore\n defer func() { <-api.jobSem }() // release\n // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."},{"type":"text","text":"agentId: ae6e94e07c8dc030e (for resuming to continue this agent's work if needed)\ntotal_tokens: 81850\ntool_uses: 29\nduration_ms: 64839"}]}]},"uuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","timestamp":"2026-03-16T10:19:56.245Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n → TagID lookup (SELECT)\n → CreateTag (INSERT) if missing\n → AddTag (INSERT into jobtag)\n → GetTags (SELECT)\n → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n → FetchMetadata (SELECT)\n → ArchiveJob() (file writes + calculations)\n → UpdateFootprint (UPDATE)\n → UpdateEnergy (UPDATE) \n → MarkArchived (UPDATE)\n → Execute(stmt) (single UPDATE with 3 SET clauses)\n → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n → Read JSON files\n → archive.ImportJob() (file write)\n → InsertJobDirect (INSERT)\n → for each tag in job.Tags {\n → ImportTag() (SELECT + INSERT per tag)\n }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n - 1 job INSERT per job\n - N tag operations (SELECT + INSERT) per job\n - No transaction wrapping job + all its tags\n \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n res, err := r.DB.Exec(\n \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n if err != nil { return 0, ... }\n \n newID, err := res.LastInsertId()\n if err != nil { return 0, ... }\n \n _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID) // SEPARATE OPERATION\n if err != nil { return 0, ... }\n \n return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID) // SELECT all job IDs\n \n qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n go r.removeTagFromArchiveJobs(jobIds) // ASYNC goroutine\n \n return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n // Lookup tag\n _, _, tscope, exists := r.Repo.TagInfo(tid)\n // Authorization check\n // Add/Remove\n if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n jobSem chan struct{} // capacity 8\n nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n api.jobSem <- struct{}{} // acquire semaphore\n defer func() { <-api.jobSem }() // release\n // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."}],"totalDurationMs":64839,"totalTokens":81850,"totalToolUseCount":29,"usage":{"input_tokens":5,"cache_creation_input_tokens":1906,"cache_read_input_tokens":76371,"output_tokens":3568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1906},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"be9edc37-8b94-42c3-a207-56a1de047ced","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","toolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","timestamp":"2026-03-16T10:20:01.530Z","uuid":"9454fbba-4a89-47cd-ad3d-199b2aaea296","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","type":"tool_result","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta) // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta) // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n - Limits throughput to single job start at a time\n - Held during duplicate check + tag operations\n - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n - INSERT + DELETE are separate `Exec()` calls\n - No transaction between them\n - If process crashes between INSERT and DELETE, job_cache row orphaned\n - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate \n - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n - UpdateMonitoringStatus (line 130) = separate write\n - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n - But if footprint fails, energy never updated\n - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n - 4 separate UPDATE paths, no transaction\n - If admin modifies role+project, inconsistent state if second fails\n - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n - Loop with separate INSERT per cluster\n - Code marked DEPRECATED but still runs\n - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n - Each imported job is individual (no transaction)\n - Loop of InsertJobDirect + ImportTag calls\n - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n - DELETE from job WHERE start_time < ?\n - Potentially thousands of rows, single statement but no transaction\n - If cascades fail, inconsistent state\n - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n - DB UPDATE + archive.UpdateMetadata() separate\n - No transaction\n - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n - Each role/project operation is separate REST handler call\n - updateUser() itself calls single repository method per request\n - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."},{"type":"text","text":"agentId: ab0b0e624428f5b1f (for resuming to continue this agent's work if needed)\ntotal_tokens: 120521\ntool_uses: 32\nduration_ms: 81558"}]}]},"uuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","timestamp":"2026-03-16T10:20:01.529Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta) // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta) // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n - Limits throughput to single job start at a time\n - Held during duplicate check + tag operations\n - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n - INSERT + DELETE are separate `Exec()` calls\n - No transaction between them\n - If process crashes between INSERT and DELETE, job_cache row orphaned\n - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate \n - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n - UpdateMonitoringStatus (line 130) = separate write\n - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n - But if footprint fails, energy never updated\n - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n - 4 separate UPDATE paths, no transaction\n - If admin modifies role+project, inconsistent state if second fails\n - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n - Loop with separate INSERT per cluster\n - Code marked DEPRECATED but still runs\n - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n - Each imported job is individual (no transaction)\n - Loop of InsertJobDirect + ImportTag calls\n - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n - DELETE from job WHERE start_time < ?\n - Potentially thousands of rows, single statement but no transaction\n - If cascades fail, inconsistent state\n - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n - DB UPDATE + archive.UpdateMetadata() separate\n - No transaction\n - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n - Each role/project operation is separate REST handler call\n - updateUser() itself calls single repository method per request\n - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."}],"totalDurationMs":81558,"totalTokens":120521,"totalToolUseCount":32,"usage":{"input_tokens":4,"cache_creation_input_tokens":3553,"cache_read_input_tokens":111500,"output_tokens":5464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3553},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","toolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","timestamp":"2026-03-16T10:20:09.321Z","uuid":"d87792a1-a28e-4ae8-a132-5efa409e66c3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MKZPCCebdvpFXikwtfC4E6","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n - Iterates through all clusters and running jobs\n - Loads metrics from metric stores\n - Builds UPDATE statements and batches them per cluster\n - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n - Saves in-memory metric buffers to disk\n - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n - Processes `WALMessages` channel (from line protocol ingestion)\n - Writes binary WAL records to per-host WAL files\n - Manages file handles for efficient buffering\n - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n - Calls `Free(ms, t)` to remove old data from memory\n - Cleans buffer pool with `bufferPool.Clean()`\n - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n - \"archive\": Moves old checkpoint files to Parquet format\n - \"delete\": Deletes old checkpoint files\n- **Details:**\n - Uses worker pool for parallel processing\n - Supports both local filesystem and S3 targets\n - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n - Checks `runtime.MemStats.Alloc`\n - Force-frees buffers if memory cap exceeded\n - Calls `debug.FreeOSMemory()` to return memory to OS\n - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n - `jobRepo.FetchMetadata(job)` - read\n - `ArchiveJob(job, ctx)` - archive to external storage\n - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n - `jobRepo.MarkArchived(stmt, status)` - **writes**\n - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n - Called when job stops (via REST API `/api/jobs/stop_job/`)\n - Called when job stops via NATS API\n- **Details:**\n - Processes archiving asynchronously\n - Uses `sync.WaitGroup` for graceful shutdown\n - Updates job statistics (footprint, energy, monitoring status) atomically\n - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n - `jobRepo.FindAll()` - check for duplicates (read)\n - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n - `checkAndHandleStopJob()` - updates job state (line 1000+)\n - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n - `DELETE /api/jobs/delete_job/{id}`\n - `DELETE /api/jobs/delete_job/`\n - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"},{"type":"text","text":"agentId: a5a9b60b3b5a2afcf (for resuming to continue this agent's work if needed)\ntotal_tokens: 74431\ntool_uses: 31\nduration_ms: 85216"}]}]},"uuid":"7db18647-1759-41ac-94c1-d055b54e49db","timestamp":"2026-03-16T10:20:09.320Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n - Iterates through all clusters and running jobs\n - Loads metrics from metric stores\n - Builds UPDATE statements and batches them per cluster\n - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n - Saves in-memory metric buffers to disk\n - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n - Processes `WALMessages` channel (from line protocol ingestion)\n - Writes binary WAL records to per-host WAL files\n - Manages file handles for efficient buffering\n - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n - Calls `Free(ms, t)` to remove old data from memory\n - Cleans buffer pool with `bufferPool.Clean()`\n - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n - \"archive\": Moves old checkpoint files to Parquet format\n - \"delete\": Deletes old checkpoint files\n- **Details:**\n - Uses worker pool for parallel processing\n - Supports both local filesystem and S3 targets\n - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n - Checks `runtime.MemStats.Alloc`\n - Force-frees buffers if memory cap exceeded\n - Calls `debug.FreeOSMemory()` to return memory to OS\n - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n - `jobRepo.FetchMetadata(job)` - read\n - `ArchiveJob(job, ctx)` - archive to external storage\n - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n - `jobRepo.MarkArchived(stmt, status)` - **writes**\n - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n - Called when job stops (via REST API `/api/jobs/stop_job/`)\n - Called when job stops via NATS API\n- **Details:**\n - Processes archiving asynchronously\n - Uses `sync.WaitGroup` for graceful shutdown\n - Updates job statistics (footprint, energy, monitoring status) atomically\n - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n - `jobRepo.FindAll()` - check for duplicates (read)\n - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n - `checkAndHandleStopJob()` - updates job state (line 1000+)\n - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n - `DELETE /api/jobs/delete_job/{id}`\n - `DELETE /api/jobs/delete_job/`\n - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"}],"totalDurationMs":85216,"totalTokens":74431,"totalToolUseCount":31,"usage":{"input_tokens":0,"cache_creation_input_tokens":2249,"cache_read_input_tokens":67937,"output_tokens":4245,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2249},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7db18647-1759-41ac-94c1-d055b54e49db","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nGood exploration results. Let me now read a few critical files to validate the findings before writing the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"31a6461a-2879-4aad-914b-acdc223c3944","timestamp":"2026-03-16T10:20:15.191Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"31a6461a-2879-4aad-914b-acdc223c3944","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPCSF89CyztSbhAD6AQGZK","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","timestamp":"2026-03-16T10:20:15.643Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","toolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","timestamp":"2026-03-16T10:20:15.650Z","uuid":"b483e11b-ea24-4887-9f59-9b70bc1863e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPCSF89CyztSbhAD6AQGZK","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"eab81478-d796-4621-b2c6-86dea55f106f","timestamp":"2026-03-16T10:20:15.650Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"f7a0639e-a4dc-4206-a497-ea38bbed526d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"eab81478-d796-4621-b2c6-86dea55f106f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","timestamp":"2026-03-16T10:20:16.110Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013Zk9UuLtFGBBW9XKL24U2N","toolUseID":"toolu_013Zk9UuLtFGBBW9XKL24U2N","timestamp":"2026-03-16T10:20:16.113Z","uuid":"9be51033-a1d2-4f6c-b228-c52a0c1e886e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue\n 151→\t\t\t}\n 152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n 153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n 154→\t\t\t\tarchivePending.Done()\n 155→\t\t\t\tcontinue\n 156→\t\t\t}\n 157→\t\t\t// Update the jobs database entry one last time:\n 158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n 159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n 160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n 161→\t\t\t\tarchivePending.Done()\n 162→\t\t\t\tcontinue\n 163→\t\t\t}\n 164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n 165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n 166→\n 167→\t\t\trepository.CallJobStopHooks(job)\n 168→\t\t\tarchivePending.Done()\n 169→\t\t}\n 170→\t}\n 171→}\n 172→\n 173→// TriggerArchiving queues a job for asynchronous archiving.\n 174→//\n 175→// This function should be called when a job completes (stops) to archive its\n 176→// metric data from the metric store to the configured archive backend.\n 177→//\n 178→// The function:\n 179→// 1. Increments the pending job counter (WaitGroup)\n 180→// 2. Sends the job to the archiving channel (buffered, capacity 128)\n 181→// 3. Returns immediately (non-blocking unless channel is full)\n 182→//\n 183→// The actual archiving is performed asynchronously by the worker goroutine.\n 184→// Upon completion, the worker will decrement the pending counter.\n 185→//\n 186→// Panics if Start() has not been called first.\n 187→func TriggerArchiving(job *schema.Job) {\n 188→\tif archiveChannel == nil {\n 189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n 190→\t}\n 191→\n 192→\tarchivePending.Add(1)\n 193→\tarchiveChannel <- job\n 194→}\n 195→\n 196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n 197→//\n 198→// The shutdown process:\n 199→// 1. Closes archiveChannel - no new jobs will be accepted\n 200→// 2. Waits for pending jobs to complete (up to timeout duration)\n 201→// 3. If timeout is exceeded:\n 202→// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n 203→// - Returns error indicating timeout\n 204→// 4. Waits for worker goroutine to exit cleanly\n 205→//\n 206→// Parameters:\n 207→// - timeout: Maximum duration to wait for pending jobs to complete\n 208→// (recommended: 10-30 seconds for production)\n 209→//\n 210→// Returns:\n 211→// - nil if all jobs completed within timeout\n 212→// - error if timeout was exceeded (some jobs may not have been archived)\n 213→//\n 214→// Jobs that don't complete within the timeout will be marked as failed.\n 215→// The function always ensures the worker goroutine exits before returning.\n 216→//\n 217→// Example:\n 218→//\n 219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 220→//\t log.Printf(\"Some jobs did not complete: %v\", err)\n 221→//\t}\n 222→func Shutdown(timeout time.Duration) error {\n 223→\tcclog.Info(\"Initiating archiver shutdown...\")\n 224→\n 225→\t// Close channel to signal no more jobs will be accepted\n 226→\tclose(archiveChannel)\n 227→\n 228→\t// Create a channel to signal when all jobs are done\n 229→\tdone := make(chan struct{})\n 230→\tgo func() {\n 231→\t\tarchivePending.Wait()\n 232→\t\tclose(done)\n 233→\t}()\n 234→\n 235→\t// Wait for jobs to complete or timeout\n 236→\tselect {\n 237→\tcase <-done:\n 238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n 239→\t\t// Wait for worker to exit\n 240→\t\t<-workerDone\n 241→\t\treturn nil\n 242→\tcase <-time.After(timeout):\n 243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n 244→\t\t// Cancel any ongoing operations\n 245→\t\tshutdownCancel()\n 246→\t\t// Wait for worker to exit\n 247→\t\t<-workerDone\n 248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n 249→\t}\n 250→}\n 251→"}]},"uuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","timestamp":"2026-03-16T10:20:16.113Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n//\n// The archiver runs a background worker goroutine that processes job archiving requests\n// from a buffered channel. When jobs complete, their metric data is archived from the\n// metric store to the configured archive backend (filesystem, S3, etc.).\n//\n// # Architecture\n//\n// The archiver uses a producer-consumer pattern:\n// - Producer: TriggerArchiving() sends jobs to archiveChannel\n// - Consumer: archivingWorker() processes jobs from the channel\n// - Coordination: sync.WaitGroup tracks pending archive operations\n//\n// # Lifecycle\n//\n// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n// 3. archivingWorker() - Background goroutine processes jobs\n// 4. Shutdown(timeout) - Graceful shutdown with timeout\n//\n// # Graceful Shutdown\n//\n// The archiver supports graceful shutdown with configurable timeout:\n// - Closes channel to reject new jobs\n// - Waits for pending jobs to complete (up to timeout)\n// - Cancels context if timeout exceeded\n// - Ensures worker goroutine exits cleanly\n//\n// # Example Usage\n//\n//\t// Initialize archiver\n//\tctx, cancel := context.WithCancel(context.Background())\n//\tdefer cancel()\n//\tarchiver.Start(jobRepository, ctx)\n//\n//\t// Trigger archiving when job completes\n//\tarchiver.TriggerArchiving(job)\n//\n//\t// Graceful shutdown with 10 second timeout\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n//\t}\npackage archiver\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nvar (\n\tarchivePending sync.WaitGroup\n\tarchiveChannel chan *schema.Job\n\tjobRepo *repository.JobRepository\n\tshutdownCtx context.Context\n\tshutdownCancel context.CancelFunc\n\tworkerDone chan struct{}\n)\n\n// Start initializes the archiver and starts the background worker goroutine.\n//\n// The archiver processes job archiving requests asynchronously via a buffered channel.\n// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n//\n// Parameters:\n// - r: JobRepository instance for database operations\n// - ctx: Context for cancellation (shutdown signal propagation)\n//\n// The worker goroutine will run until:\n// - ctx is cancelled (via parent shutdown)\n// - archiveChannel is closed (via Shutdown())\n//\n// Must be called before TriggerArchiving(). Safe to call only once.\nfunc Start(r *repository.JobRepository, ctx context.Context) {\n\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n\tarchiveChannel = make(chan *schema.Job, 128)\n\tworkerDone = make(chan struct{})\n\tjobRepo = r\n\n\tgo archivingWorker()\n}\n\n// archivingWorker is the background goroutine that processes job archiving requests.\n//\n// The worker loop:\n// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n// 2. Fetches job metadata from repository\n// 3. Archives job data to configured backend (calls ArchiveJob)\n// 4. Updates job footprint and energy metrics in database\n// 5. Marks job as successfully archived\n// 6. Calls job stop hooks\n//\n// The worker exits when:\n// - shutdownCtx is cancelled (timeout during shutdown)\n// - archiveChannel is closed (normal shutdown)\n//\n// Errors during archiving are logged and the job is marked as failed,\n// but the worker continues processing other jobs.\nfunc archivingWorker() {\n\tdefer close(workerDone)\n\n\tfor {\n\t\tselect {\n\t\tcase <-shutdownCtx.Done():\n\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n\t\t\treturn\n\n\t\tcase job, ok := <-archiveChannel:\n\t\t\tif !ok {\n\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tstart := time.Now()\n\t\t\t// not using meta data, called to load JobMeta into Cache?\n\t\t\t// will fail if job meta not in repository\n\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n\t\t\t// Use shutdown context to allow cancellation\n\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n\n\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Update the jobs database entry one last time:\n\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n\n\t\t\trepository.CallJobStopHooks(job)\n\t\t\tarchivePending.Done()\n\t\t}\n\t}\n}\n\n// TriggerArchiving queues a job for asynchronous archiving.\n//\n// This function should be called when a job completes (stops) to archive its\n// metric data from the metric store to the configured archive backend.\n//\n// The function:\n// 1. Increments the pending job counter (WaitGroup)\n// 2. Sends the job to the archiving channel (buffered, capacity 128)\n// 3. Returns immediately (non-blocking unless channel is full)\n//\n// The actual archiving is performed asynchronously by the worker goroutine.\n// Upon completion, the worker will decrement the pending counter.\n//\n// Panics if Start() has not been called first.\nfunc TriggerArchiving(job *schema.Job) {\n\tif archiveChannel == nil {\n\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n\t}\n\n\tarchivePending.Add(1)\n\tarchiveChannel <- job\n}\n\n// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n//\n// The shutdown process:\n// 1. Closes archiveChannel - no new jobs will be accepted\n// 2. Waits for pending jobs to complete (up to timeout duration)\n// 3. If timeout is exceeded:\n// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n// - Returns error indicating timeout\n// 4. Waits for worker goroutine to exit cleanly\n//\n// Parameters:\n// - timeout: Maximum duration to wait for pending jobs to complete\n// (recommended: 10-30 seconds for production)\n//\n// Returns:\n// - nil if all jobs completed within timeout\n// - error if timeout was exceeded (some jobs may not have been archived)\n//\n// Jobs that don't complete within the timeout will be marked as failed.\n// The function always ensures the worker goroutine exits before returning.\n//\n// Example:\n//\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t log.Printf(\"Some jobs did not complete: %v\", err)\n//\t}\nfunc Shutdown(timeout time.Duration) error {\n\tcclog.Info(\"Initiating archiver shutdown...\")\n\n\t// Close channel to signal no more jobs will be accepted\n\tclose(archiveChannel)\n\n\t// Create a channel to signal when all jobs are done\n\tdone := make(chan struct{})\n\tgo func() {\n\t\tarchivePending.Wait()\n\t\tclose(done)\n\t}()\n\n\t// Wait for jobs to complete or timeout\n\tselect {\n\tcase <-done:\n\t\tcclog.Info(\"All archive jobs completed successfully\")\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn nil\n\tcase <-time.After(timeout):\n\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n\t\t// Cancel any ongoing operations\n\t\tshutdownCancel()\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n\t}\n}\n","numLines":251,"startLine":1,"totalLines":251}},"sourceToolAssistantUUID":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013cwDLaYAaYE58p3bEr4xdp","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"output_tokens":227,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":14662,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","timestamp":"2026-03-16T10:20:16.431Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","toolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","timestamp":"2026-03-16T10:20:16.434Z","uuid":"93d4ad0b-7ca8-47dd-af1a-cc3fd1fdd5ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013cwDLaYAaYE58p3bEr4xdp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package importer\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 20→)\n 21→\n 22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n 23→//\n 24→// The flag format is: \":[,:,...]\"\n 25→//\n 26→// For each job pair, this function:\n 27→// 1. Reads and validates the metadata JSON file (schema.Job)\n 28→// 2. Reads and validates the job data JSON file (schema.JobData)\n 29→// 3. Enriches the job with calculated footprints and energy metrics\n 30→// 4. Validates the job using SanityChecks()\n 31→// 5. Imports the job into the archive\n 32→// 6. Inserts the job into the database with associated tags\n 33→//\n 34→// Schema validation is performed if config.Keys.Validate is true.\n 35→//\n 36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n 37→// The function stops processing on the first error encountered.\n 38→func HandleImportFlag(flag string) error {\n 39→\tr := repository.GetJobRepository()\n 40→\n 41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n 42→\t\tfiles := strings.Split(pair, \":\")\n 43→\t\tif len(files) != 2 {\n 44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n 45→\t\t}\n 46→\n 47→\t\traw, err := os.ReadFile(files[0])\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n 50→\t\t\treturn err\n 51→\t\t}\n 52→\n 53→\t\tif config.Keys.Validate {\n 54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n 55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n 56→\t\t\t}\n 57→\t\t}\n 58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n 59→\t\tdec.DisallowUnknownFields()\n 60→\t\tjob := schema.Job{\n 61→\t\t\tShared: \"none\",\n 62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 63→\t\t}\n 64→\t\tif err = dec.Decode(&job); err != nil {\n 65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n 66→\t\t\treturn err\n 67→\t\t}\n 68→\n 69→\t\traw, err = os.ReadFile(files[1])\n 70→\t\tif err != nil {\n 71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n 72→\t\t\treturn err\n 73→\t\t}\n 74→\n 75→\t\tif config.Keys.Validate {\n 76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n 77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n 78→\t\t\t}\n 79→\t\t}\n 80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n 81→\t\tdec.DisallowUnknownFields()\n 82→\t\tjobData := schema.JobData{}\n 83→\t\tif err = dec.Decode(&jobData); err != nil {\n 84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n 85→\t\t\treturn err\n 86→\t\t}\n 87→\n 88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 89→\n 90→\t\tif err = enrichJobMetadata(&job); err != nil {\n 91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n 92→\t\t\treturn err\n 93→\t\t}\n 94→\n 95→\t\tif err = SanityChecks(&job); err != nil {\n 96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n 101→\t\t\tcclog.Error(\"Error while importing job\")\n 102→\t\t\treturn err\n 103→\t\t}\n 104→\n 105→\t\tid, err := r.InsertJobDirect(&job)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Warn(\"Error while job db insert\")\n 108→\t\t\treturn err\n 109→\t\t}\n 110→\n 111→\t\tfor _, tag := range job.Tags {\n 112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n 113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n 114→\t\t\t\treturn err\n 115→\t\t\t}\n 116→\t\t}\n 117→\n 118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n 119→\t}\n 120→\treturn nil\n 121→}\n 122→"}]},"uuid":"1c544148-1fc4-481e-a535-848ba4734d66","timestamp":"2026-03-16T10:20:16.434Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage importer\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n//\n// The flag format is: \":[,:,...]\"\n//\n// For each job pair, this function:\n// 1. Reads and validates the metadata JSON file (schema.Job)\n// 2. Reads and validates the job data JSON file (schema.JobData)\n// 3. Enriches the job with calculated footprints and energy metrics\n// 4. Validates the job using SanityChecks()\n// 5. Imports the job into the archive\n// 6. Inserts the job into the database with associated tags\n//\n// Schema validation is performed if config.Keys.Validate is true.\n//\n// Returns an error if file reading, validation, enrichment, or database operations fail.\n// The function stops processing on the first error encountered.\nfunc HandleImportFlag(flag string) error {\n\tr := repository.GetJobRepository()\n\n\tfor pair := range strings.SplitSeq(flag, \",\") {\n\t\tfiles := strings.Split(pair, \":\")\n\t\tif len(files) != 2 {\n\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n\t\t}\n\n\t\traw, err := os.ReadFile(files[0])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjob := schema.Job{\n\t\t\tShared: \"none\",\n\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t\t}\n\t\tif err = dec.Decode(&job); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\traw, err = os.ReadFile(files[1])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjobData := schema.JobData{}\n\t\tif err = dec.Decode(&jobData); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n\n\t\tif err = enrichJobMetadata(&job); err != nil {\n\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n\t\t\treturn err\n\t\t}\n\n\t\tif err = SanityChecks(&job); err != nil {\n\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n\t\t\treturn err\n\t\t}\n\n\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n\t\t\tcclog.Error(\"Error while importing job\")\n\t\t\treturn err\n\t\t}\n\n\t\tid, err := r.InsertJobDirect(&job)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while job db insert\")\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, tag := range job.Tags {\n\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n\t}\n\treturn nil\n}\n","numLines":122,"startLine":1,"totalLines":122}},"sourceToolAssistantUUID":"5c97780c-18a8-4a2a-bda6-c94e058252c8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1c544148-1fc4-481e-a535-848ba4734d66","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Nw6y6QjBsXjuqqsyoVg4S","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EqcCCkYICxgCKkCw+EEWiddCTtOO2WCvsSsDFNrVMoel7ivVkem2Csi2WLhe4hpcXLEOmrRkbMoeEyYz9biMUOn3w8WU6cmuD5+SEgyMQMnhEhqhigTiQHYaDIh6EFBSztj7wV4IZCIw54lvlMmEDlzLdRpXwuf2fIoaNgOxXjxUHnheiDVTQ5LiAThRyfLG7jsudPYHkn0MKo4BZ7YixiJ0/TepsAbKbieJhPoaeTOuwI0la+jE023ec+mO/tsaCUZqwBJ+uq8/ApsCGCtH77bXqZKrAlCs/JXp3/+lPF1UT7b4kjmN9iUfEo2tLLR3hkLwWdZLnBSA23r0vcpOXsYWlQfhiCicYIeKydUKeVa3JIA00Rp1jye5CKBoM2sskSNaNQPRNNt6kBgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":15555,"cache_read_input_tokens":94440,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":15555},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDJgyrXk7gUe58BQ49","type":"assistant","uuid":"99683d63-97f7-4c8c-b24c-27c2d3e6f3a3","timestamp":"2026-03-16T10:20:20.790Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"99683d63-97f7-4c8c-b24c-27c2d3e6f3a3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Nw6y6QjBsXjuqqsyoVg4S","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check a few more write-heavy paths."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":15555,"cache_read_input_tokens":94440,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":15555},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDJgyrXk7gUe58BQ49","type":"assistant","uuid":"f3efc875-d381-4584-891d-85ea8c13bf45","timestamp":"2026-03-16T10:20:20.887Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","toolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","timestamp":"2026-03-16T10:20:21.987Z","uuid":"fa2fe1da-d91b-4727-b9b4-768b0e78c339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NyQGq5HoKhuReqThQpgkSQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"math\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→\t\"github.com/go-co-op/gocron/v2\"\n 19→)\n 20→\n 21→func RegisterFootprintWorker() {\n 22→\tvar frequency string\n 23→\tif Keys.FootprintWorker != \"\" {\n 24→\t\tfrequency = Keys.FootprintWorker\n 25→\t} else {\n 26→\t\tfrequency = \"10m\"\n 27→\t}\n 28→\n 29→\td, err := parseDuration(frequency)\n 30→\tif err != nil {\n 31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n 32→\t\treturn\n 33→\t}\n 34→\n 35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n 36→\n 37→\ts.NewJob(gocron.DurationJob(d),\n 38→\t\tgocron.NewTask(\n 39→\t\t\tfunc() {\n 40→\t\t\t\ts := time.Now()\n 41→\t\t\t\tc := 0\n 42→\t\t\t\tce := 0\n 43→\t\t\t\tcl := 0\n 44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n 45→\n 46→\t\t\t\tfor _, cluster := range archive.Clusters {\n 47→\t\t\t\t\tsCluster := time.Now()\n 48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n 49→\t\t\t\t\tif err != nil {\n 50→\t\t\t\t\t\tcontinue\n 51→\t\t\t\t\t}\n 52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n 53→\t\t\t\t\t// - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n 54→\t\t\t\t\t// - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n 55→\t\t\t\t\tallMetrics := make([]string, 0)\n 56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n 57→\t\t\t\t\tfor _, mc := range metricConfigs {\n 58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n 59→\t\t\t\t\t}\n 60→\n 61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n 62→\n 63→\t\t\t\t\tfor _, job := range jobs {\n 64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n 65→\t\t\t\t\t\tcl++\n 66→\n 67→\t\t\t\t\t\tsJob := time.Now()\n 68→\n 69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n 70→\t\t\t\t\t\tif err != nil {\n 71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n 72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n 73→\t\t\t\t\t\t\tcontinue\n 74→\t\t\t\t\t\t}\n 75→\n 76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n 77→\t\t\t\t\t\tif err != nil {\n 78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n 79→\t\t\t\t\t\t\tce++\n 80→\t\t\t\t\t\t\tcontinue\n 81→\t\t\t\t\t\t}\n 82→\n 83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n 84→\n 85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n 86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n 87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n 88→\t\t\t\t\t\t\tif ok {\n 89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n 90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n 91→\t\t\t\t\t\t\t\t\tif ok {\n 92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n 93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n 94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n 95→\t\t\t\t\t\t\t\t\t}\n 96→\n 97→\t\t\t\t\t\t\t\t}\n 98→\t\t\t\t\t\t\t}\n 99→\n 100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n 101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n 102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n 103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n 104→\t\t\t\t\t\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n 105→\t\t\t\t\t\t\t\t},\n 106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n 107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n 108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n 109→\t\t\t\t\t\t\t}\n 110→\t\t\t\t\t\t}\n 111→\n 112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n 113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n 114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n 115→\t\t\t\t\t\tif err != nil {\n 116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n 117→\t\t\t\t\t\t\tce++\n 118→\t\t\t\t\t\t\tcontinue\n 119→\t\t\t\t\t\t}\n 120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n 121→\n 122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n 123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n 124→\t\t\t\t\t}\n 125→\n 126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n 127→\t\t\t\t\tif err != nil {\n 128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n 129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n 130→\t\t\t\t\t\tce += len(pendingStatements)\n 131→\t\t\t\t\t} else {\n 132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n 133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n 134→\t\t\t\t\t\t\tif err != nil {\n 135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n 136→\t\t\t\t\t\t\t\tce++\n 137→\t\t\t\t\t\t\t} else {\n 138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n 139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n 140→\t\t\t\t\t\t\t\tc++\n 141→\t\t\t\t\t\t\t}\n 142→\t\t\t\t\t\t}\n 143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n 144→\t\t\t\t\t}\n 145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n 146→\t\t\t\t}\n 147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n 148→\t\t\t}))\n 149→}\n 150→"}]},"uuid":"87a4201c-478c-481a-a777-cd0ab95957f3","timestamp":"2026-03-16T10:20:21.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"context\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterFootprintWorker() {\n\tvar frequency string\n\tif Keys.FootprintWorker != \"\" {\n\t\tfrequency = Keys.FootprintWorker\n\t} else {\n\t\tfrequency = \"10m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\ts := time.Now()\n\t\t\t\tc := 0\n\t\t\t\tce := 0\n\t\t\t\tcl := 0\n\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n\n\t\t\t\tfor _, cluster := range archive.Clusters {\n\t\t\t\t\tsCluster := time.Now()\n\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n\t\t\t\t\t// - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n\t\t\t\t\t// - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n\t\t\t\t\tallMetrics := make([]string, 0)\n\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n\t\t\t\t\tfor _, mc := range metricConfigs {\n\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n\t\t\t\t\t}\n\n\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n\n\t\t\t\t\tfor _, job := range jobs {\n\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n\t\t\t\t\t\tcl++\n\n\t\t\t\t\t\tsJob := time.Now()\n\n\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n\n\t\t\t\t\t\tfor _, metric := range allMetrics {\n\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n\t\t\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n\t\t\t\t\t\t\t\tUnit: schema.Unit{\n\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n\t\t\t\t\t\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n\t\t\t\t\t\tstmt := sq.Update(\"job\")\n\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n\n\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n\t\t\t\t\t}\n\n\t\t\t\t\tt, err := jobRepo.TransactionInit()\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n\t\t\t\t\t\tce += len(pendingStatements)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor _, ps := range pendingStatements {\n\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n\t\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n\t\t\t\t\t\t\t\tc++\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n\t\t\t\t}\n\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n\t\t\t}))\n}\n","numLines":150,"startLine":1,"totalLines":150}},"sourceToolAssistantUUID":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0195DFsKrvHLqVJHLyvfkkWr","toolUseID":"toolu_0195DFsKrvHLqVJHLyvfkkWr","timestamp":"2026-03-16T10:20:22.343Z","uuid":"0b0da3f2-5edb-4887-ae18-f433efcd5a5d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0195DFsKrvHLqVJHLyvfkkWr","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 12→\t\"github.com/go-co-op/gocron/v2\"\n 13→)\n 14→\n 15→func RegisterUpdateDurationWorker() {\n 16→\tvar frequency string\n 17→\tif Keys.DurationWorker != \"\" {\n 18→\t\tfrequency = Keys.DurationWorker\n 19→\t} else {\n 20→\t\tfrequency = \"5m\"\n 21→\t}\n 22→\n 23→\td, err := parseDuration(frequency)\n 24→\tif err != nil {\n 25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n 26→\t\treturn\n 27→\t}\n 28→\n 29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n 30→\n 31→\ts.NewJob(gocron.DurationJob(d),\n 32→\t\tgocron.NewTask(\n 33→\t\t\tfunc() {\n 34→\t\t\t\tstart := time.Now()\n 35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n 36→\t\t\t\tjobRepo.UpdateDuration()\n 37→\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n 38→\t\t\t}))\n 39→}\n 40→"}]},"uuid":"8a6ed30b-b6be-4712-a630-e98681852f68","timestamp":"2026-03-16T10:20:22.343Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateDurationService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterUpdateDurationWorker() {\n\tvar frequency string\n\tif Keys.DurationWorker != \"\" {\n\t\tfrequency = Keys.DurationWorker\n\t} else {\n\t\tfrequency = \"5m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\tstart := time.Now()\n\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n\t\t\t\tjobRepo.UpdateDuration()\n\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n\t\t\t}))\n}\n","numLines":40,"startLine":1,"totalLines":40}},"sourceToolAssistantUUID":"b14cef18-8d16-4d22-9829-66379572f507","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8a6ed30b-b6be-4712-a630-e98681852f68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Nw6y6QjBsXjuqqsyoVg4S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":15555,"cache_read_input_tokens":94440,"output_tokens":259,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":15555,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bDJgyrXk7gUe58BQ49","type":"assistant","uuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","timestamp":"2026-03-16T10:20:22.634Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","toolUseID":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","timestamp":"2026-03-16T10:20:22.638Z","uuid":"bb0a4cd3-2ca7-4f2c-bb91-f33aecb6005f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\n 10→\t\"github.com/jmoiron/sqlx\"\n 11→)\n 12→\n 13→// Transaction wraps a database transaction for job-related operations.\n 14→type Transaction struct {\n 15→\ttx *sqlx.Tx\n 16→}\n 17→\n 18→// TransactionInit begins a new transaction.\n 19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n 20→\ttx, err := r.DB.Beginx()\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n 23→\t}\n 24→\treturn &Transaction{tx: tx}, nil\n 25→}\n 26→\n 27→// Commit commits the transaction.\n 28→// After calling Commit, the transaction should not be used again.\n 29→func (t *Transaction) Commit() error {\n 30→\tif t.tx == nil {\n 31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n 32→\t}\n 33→\terr := t.tx.Commit()\n 34→\tt.tx = nil // Mark as completed\n 35→\tif err != nil {\n 36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n 37→\t}\n 38→\treturn nil\n 39→}\n 40→\n 41→// Rollback rolls back the transaction.\n 42→// It's safe to call Rollback on an already committed or rolled back transaction.\n 43→func (t *Transaction) Rollback() error {\n 44→\tif t.tx == nil {\n 45→\t\treturn nil // Already committed/rolled back\n 46→\t}\n 47→\terr := t.tx.Rollback()\n 48→\tt.tx = nil // Mark as completed\n 49→\tif err != nil {\n 50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// TransactionEnd commits the transaction.\n 56→// Deprecated: Use Commit() instead.\n 57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n 58→\treturn t.Commit()\n 59→}\n 60→\n 61→// TransactionAddNamed executes a named query within the transaction.\n 62→func (r *JobRepository) TransactionAddNamed(\n 63→\tt *Transaction,\n 64→\tquery string,\n 65→\targs ...any,\n 66→) (int64, error) {\n 67→\tif t.tx == nil {\n 68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 69→\t}\n 70→\n 71→\tres, err := t.tx.NamedExec(query, args)\n 72→\tif err != nil {\n 73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n 74→\t}\n 75→\n 76→\tid, err := res.LastInsertId()\n 77→\tif err != nil {\n 78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 79→\t}\n 80→\n 81→\treturn id, nil\n 82→}\n 83→\n 84→// TransactionAdd executes a query within the transaction.\n 85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n 86→\tif t.tx == nil {\n 87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 88→\t}\n 89→\n 90→\tres, err := t.tx.Exec(query, args...)\n 91→\tif err != nil {\n 92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n 93→\t}\n 94→\n 95→\tid, err := res.LastInsertId()\n 96→\tif err != nil {\n 97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 98→\t}\n 99→\n 100→\treturn id, nil\n 101→}\n 102→"}]},"uuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","timestamp":"2026-03-16T10:20:22.637Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"fmt\"\n\n\t\"github.com/jmoiron/sqlx\"\n)\n\n// Transaction wraps a database transaction for job-related operations.\ntype Transaction struct {\n\ttx *sqlx.Tx\n}\n\n// TransactionInit begins a new transaction.\nfunc (r *JobRepository) TransactionInit() (*Transaction, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n\t}\n\treturn &Transaction{tx: tx}, nil\n}\n\n// Commit commits the transaction.\n// After calling Commit, the transaction should not be used again.\nfunc (t *Transaction) Commit() error {\n\tif t.tx == nil {\n\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n\t}\n\terr := t.tx.Commit()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// Rollback rolls back the transaction.\n// It's safe to call Rollback on an already committed or rolled back transaction.\nfunc (t *Transaction) Rollback() error {\n\tif t.tx == nil {\n\t\treturn nil // Already committed/rolled back\n\t}\n\terr := t.tx.Rollback()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// TransactionEnd commits the transaction.\n// Deprecated: Use Commit() instead.\nfunc (r *JobRepository) TransactionEnd(t *Transaction) error {\n\treturn t.Commit()\n}\n\n// TransactionAddNamed executes a named query within the transaction.\nfunc (r *JobRepository) TransactionAddNamed(\n\tt *Transaction,\n\tquery string,\n\targs ...any,\n) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.NamedExec(query, args)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n\n// TransactionAdd executes a query within the transaction.\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.Exec(query, args...)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n","numLines":102,"startLine":1,"totalLines":102}},"sourceToolAssistantUUID":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UqYgtgtd92i7rNNB5sW24f","type":"message","role":"assistant","content":[{"type":"text","text":"Let me also check UpdateDuration to understand its DB pattern."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4300,"cache_read_input_tokens":109995,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4300},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDkiuFZyqHzW3As7K2","type":"assistant","uuid":"ffe419b3-5f46-41e7-8202-46ab405edff8","timestamp":"2026-03-16T10:20:27.228Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ffe419b3-5f46-41e7-8202-46ab405edff8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UqYgtgtd92i7rNNB5sW24f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KVbjcaCsS9yWbGRFmuWN14","name":"Grep","input":{"pattern":"func.*UpdateDuration","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","-A":15},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4300,"cache_read_input_tokens":109995,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4300},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDkiuFZyqHzW3As7K2","type":"assistant","uuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","timestamp":"2026-03-16T10:20:28.730Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","toolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","timestamp":"2026-03-16T10:20:28.748Z","uuid":"7ff5012e-a437-4db5-b10f-08c9cbb8719d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KVbjcaCsS9yWbGRFmuWN14","type":"tool_result","content":"internal/repository/job.go:814:func (r *JobRepository) UpdateDuration() error {\ninternal/repository/job.go-815-\tstmnt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-816-\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-817-\t\tWhere(\"job_state = 'running'\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-818-\ninternal/repository/job.go-819-\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-820-\tif err != nil {\ninternal/repository/job.go-821-\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\ninternal/repository/job.go-822-\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-823-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-824-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-825-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-826-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-827-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-828-// FindJobsBetween returns jobs within a specified time range.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-829-// If startTimeBegin is 0, returns all jobs before startTimeEnd."}]},"uuid":"1dd83845-e273-42ed-ad36-09bf802c3d14","timestamp":"2026-03-16T10:20:28.748Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/repository/job.go:814:func (r *JobRepository) UpdateDuration() error {\ninternal/repository/job.go-815-\tstmnt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-816-\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-817-\t\tWhere(\"job_state = 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{\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-405-\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\ninternal/repository/job.go-406-\tcase \"user\":\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-407-\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 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job.id)\")\ninternal/repository/job.go-406-\tcase \"user\":\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-407-\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-408-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-409-\ninternal/repository/job.go-410-\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\ninternal/repository/job.go-411-\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-412-\t\treturn 0, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-413-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-414-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-415-\t// Invalidate cache for jobs being 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time.Now()\ninternal/repository/job.go-714-\tcurrentTime := time.Now().Unix()\ninternal/repository/job.go-715-\tres, err := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-716-\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-717-\t\tSet(\"duration\", 0).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-718-\t\tSet(\"job_state\", schema.JobStateFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-719-\t\tWhere(\"job.job_state = 'running'\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-720-\t\tWhere(\"job.walltime > 0\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-721-\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-722-\t\tRunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-723-\tif err != nil {\ninternal/repository/job.go-724-\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\ninternal/repository/job.go-725-\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-726-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-727-\ninternal/repository/job.go-728-\trowsAffected, err := res.RowsAffected()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-729-\tif err != nil {\ninternal/repository/job.go-730-\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\ninternal/repository/job.go-731-\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-732-\t}"}]},"uuid":"ee94e5e1-e9f6-4720-8837-d2ea2a43a75d","timestamp":"2026-03-16T10:20:30.729Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/repository/job.go:712:func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\ninternal/repository/job.go-713-\tstart := time.Now()\ninternal/repository/job.go-714-\tcurrentTime := time.Now().Unix()\ninternal/repository/job.go-715-\tres, err := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-716-\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-717-\t\tSet(\"duration\", 0).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-718-\t\tSet(\"job_state\", schema.JobStateFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-719-\t\tWhere(\"job.job_state = 'running'\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-720-\t\tWhere(\"job.walltime > 0\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-721-\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-722-\t\tRunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-723-\tif err != nil {\ninternal/repository/job.go-724-\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\ninternal/repository/job.go-725-\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-726-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-727-\ninternal/repository/job.go-728-\trowsAffected, err := res.RowsAffected()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-729-\tif err != nil {\ninternal/repository/job.go-730-\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\ninternal/repository/job.go-731-\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-732-\t}","numLines":21},"sourceToolAssistantUUID":"3ecfcf7f-5d30-4608-b500-8066e9ca3e5d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ee94e5e1-e9f6-4720-8837-d2ea2a43a75d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"text","text":"Good — `UpdateDuration`, `StopJobsExceedingWalltimeBy`, and `DeleteJobsBefore` are all single bulk SQL statements (no loops), so they're already efficient. The footprint worker already uses transactions properly.\n\nNow I have a complete picture. Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2503},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","timestamp":"2026-03-16T10:20:36.071Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"b4439843-d8a6-40b1-9d71-93da5b44f966","snapshot":{"messageId":"77246124-c7ed-405a-87de-11b99d5c5171","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v2","version":2,"backupTime":"2026-03-16T10:18:22.751Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/node.go":{"backupFileName":"b975dfea9894c28c@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"},"internal/repository/jobCreate.go":{"backupFileName":"9595742f9f0c7f86@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"},"/Users/jan/.claude/plans/woolly-wandering-narwhal.md":{"backupFileName":"9e2b5d81b7db3e5b@v1","version":1,"backupTime":"2026-03-16T10:21:13.166Z"}},"timestamp":"2026-03-16T10:18:22.751Z"},"isSnapshotUpdate":true} +{"parentUuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n tx, err := r.DB.Beginx()\n // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n // newID from LastInsertId\n // DELETE FROM job_cache WHERE id = ?\n // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID)\n // ...\n tx, err := r.DB.Beginx()\n defer tx.Rollback()\n // DELETE FROM jobtag WHERE tag_id = ? (on tx)\n // DELETE FROM tag WHERE id = ? (on tx)\n tx.Commit()\n go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"output_tokens":1912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2503,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","timestamp":"2026-03-16T10:21:13.155Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","toolUseID":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","timestamp":"2026-03-16T10:21:13.171Z","uuid":"14d74e3e-b2fa-47d1-9a29-0057fe15dcf1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","type":"tool_result","content":"The file /Users/jan/.claude/plans/woolly-wandering-narwhal.md has been updated successfully."}]},"uuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","timestamp":"2026-03-16T10:21:13.171Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n tx, err := r.DB.Beginx()\n // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n // newID from LastInsertId\n // DELETE FROM job_cache WHERE id = ?\n // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID)\n // ...\n tx, err := r.DB.Beginx()\n defer tx.Rollback()\n // DELETE FROM jobtag WHERE tag_id = ? (on tx)\n // DELETE FROM tag WHERE id = ? (on tx)\n tx.Commit()\n go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","structuredPatch":[{"oldStart":1,"oldLines":126,"newStart":1,"newLines":144,"lines":["-# Fix: SQLite Write Contention Causing OOM Crash","+# Additional SQLite Write Contention Reductions"," "," ## Context"," ","-The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.","+Fixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching."," ","-**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.","+After reviewing all write paths in the codebase, most periodic tasks are already well-optimized:","+- `UpdateDuration` — single bulk UPDATE, efficient","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient","+- `DeleteJobsBefore` — single bulk DELETE, efficient","+- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster","+- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient"," ","-The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.","+The remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**."," "," ---"," ","-## Fix 1: Increase busy_timeout (contention relief)","+## Fix 6: Wrap TransferCachedJobToMain in a Transaction"," ","-**File:** `internal/repository/dbConnection.go:73`","+**File:** `internal/repository/jobCreate.go:130-149`"," ","-Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:","+Currently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs)."," ","-**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.","+**Change:** Wrap both operations in a transaction:","+```go","+func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","+ tx, err := r.DB.Beginx()","+ // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?","+ // newID from LastInsertId","+ // DELETE FROM job_cache WHERE id = ?","+ // tx.Commit()","+}","+```"," ","-**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.","+**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path."," ","-**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.","-","-With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.","-"," ---"," ","-## Fix 2: Batch Node State Updates in a Transaction","+## Fix 7: Batch Tag Operations on Job Start (NATS + REST)"," ","-Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.","+**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag","+**File:** `internal/api/job.go` — same pattern in `startJob` REST handler"," ","-**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:","-- Accept a slice of `(hostname, cluster, nodeState)` tuples","+Currently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.","+","+**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:","+- Accept jobID + slice of tags"," - Begin transaction","-- For each node: lookup ID (or insert node), then insert state — all within the same transaction","-- Commit once","+- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction","+- Commit","+- Single archive.UpdateTags call at the end (outside transaction)"," ","-**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.","+Then update callers:","+- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`","+- `internal/api/job.go` (startJob REST handler) — same change"," ","-**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).","+**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint)."," ","-Keep the existing `UpdateNodeState` method for single-node use cases.","+**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags."," "," ---"," ","-## Fix 3: Fix LDAP Sync Race Condition","+## Fix 8: Batch Tag Imports"," ","-The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.","+**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job"," ","-**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:","-```go","-func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","- rolesJson, _ := json.Marshal(user.Roles)","- projectsJson, _ := json.Marshal(user.Projects)","- cols := \"username, name, roles, projects, ldap\"","- _, err := r.DB.Exec(","- `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,","- user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","- return err","-}","-```","+Currently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations."," ","-**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.","+**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:","+- Accept jobID + slice of (type, name, scope)","+- Begin transaction","+- For each tag: resolve/create tag ID + INSERT jobtag","+- Commit"," ","-Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.","+Update `handleImport.go` to call `BatchImportTags` instead of the loop."," ","+**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.","+"," ---"," ","-## Fix 4: Add Semaphore for NATS Handlers","+## Fix 9: Wrap RemoveTagByID in a Transaction"," ","-Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.","+**File:** `internal/repository/tags.go:216-244`"," ","-**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:","+Currently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.","+","+**Change:**"," ```go","-type NatsAPI struct {","- JobRepository *repository.JobRepository","- RepositoryMutex sync.Mutex","- jobSem chan struct{}","- nodeSem chan struct{}","+func (r *JobRepository) RemoveTagByID(tagID int64) error {","+ jobIds, err := r.FindJobIdsByTag(tagID)","+ // ...","+ tx, err := r.DB.Beginx()","+ defer tx.Rollback()","+ // DELETE FROM jobtag WHERE tag_id = ? (on tx)","+ // DELETE FROM tag WHERE id = ? (on tx)","+ tx.Commit()","+ go r.removeTagFromArchiveJobs(jobIds)"," }"," ```"," ","-Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.","+**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data."," ","-Add acquire/release in `handleJobEvent` and `handleNodeState`:","-```go","-api.jobSem <- struct{}{}","-defer func() { <-api.jobSem }()","-```","-","-This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.","-"," ---"," ","-## Fix 5: Wrap SyncJobs in a Transaction","+## Implementation Order"," ","-**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)","+1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug","+2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path","+3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists","+4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement"," ","-Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:","-- `tx, err := r.DB.Beginx()`","-- Run all three operations on `tx`","-- `tx.Commit()`","-- Do the read-only ID resolution outside the transaction","+---"," ","-This reduces lock acquisitions from 3 to 1 and ensures atomicity.","+## Files to Modify"," ","+| File | Changes |","+|------|---------|","+| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |","+| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |","+| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |","+| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |","+| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |","+"," ---"," ","-## Implementation Order","+## What NOT to Change"," ","-1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact","-2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change","-3. **Fix 2** (batch node states) — biggest contention reduction","-4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction","-5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation","+These are already efficient and don't need modification:","+- `UpdateDuration` — single bulk UPDATE","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE","+- `DeleteJobsBefore` — single bulk DELETE","+- Footprint worker — already transactional per cluster","+- Archiver — already chains SETs into single UPDATE via Squirrel builder","+- `UpdateUser` — admin-only, very low frequency, not worth the complexity","+- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing"," "," ---"," "," ## Verification"," ","-1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.","-2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.","-3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.","-4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.","-5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.","+1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`","+2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty","+3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)","+4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically"]}],"originalFile":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n"},"sourceToolAssistantUUID":"b4439843-d8a6-40b1-9d71-93da5b44f966","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Se2sxJDxUWkzBrzacYUBvZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PwkLtGhXnyg1WnkWWC1wxX","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2045,"cache_read_input_tokens":116798,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2045,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bHUnKQ7MN3LHjyUKYD","type":"assistant","uuid":"c3cf8854-774f-4b57-9515-c10ab4a05fb6","timestamp":"2026-03-16T10:21:16.336Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c3cf8854-774f-4b57-9515-c10ab4a05fb6","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PwkLtGhXnyg1WnkWWC1wxX","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"22c5cb18-1b22-4e26-9802-f8dafce84206","timestamp":"2026-03-16T10:21:16.337Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"c3cf8854-774f-4b57-9515-c10ab4a05fb6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"22c5cb18-1b22-4e26-9802-f8dafce84206","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nAfter a thorough review of all DB write paths in the codebase, I found 4 additional opportunities. Most periodic tasks (UpdateDuration, footprint worker, archiver, bulk deletes) are already well-optimized. The remaining wins are:\n\n1. **Fix 6 — TransferCachedJobToMain** (atomicity bug): INSERT + DELETE are two separate calls without a transaction\n2. **Fix 7 — Batch tag operations on job start**: Each tag does ~5 DB round-trips; a job with 5 tags = 30 operations that could be 1 transaction\n3. **Fix 8 — Batch tag imports**: Same pattern during `--import`, loops ImportTag per tag\n4. **Fix 9 — RemoveTagByID transaction**: Two separate DELETEs (jobtag + tag) without a transaction\n\nFix 7 is the most impactful for runtime contention since it's on the NATS job start hot path."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":738,"cache_read_input_tokens":118843,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":738},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bHiNNrnrkcJwPQJx9K","type":"assistant","uuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","timestamp":"2026-03-16T10:21:23.322Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MUQUrUB1J3djg7qn2AaGP3","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build and go test"}],"plan":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n tx, err := r.DB.Beginx()\n // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n // newID from LastInsertId\n // DELETE FROM job_cache WHERE id = ?\n // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID)\n // ...\n tx, err := r.DB.Beginx()\n defer tx.Rollback()\n // DELETE FROM jobtag WHERE tag_id = ? (on tx)\n // DELETE FROM tag WHERE id = ? (on tx)\n tx.Commit()\n go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","planFilePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":738,"cache_read_input_tokens":118843,"output_tokens":300,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":738,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bHiNNrnrkcJwPQJx9K","type":"assistant","uuid":"848e3ef2-64b6-4bdd-896f-916bbfdcc791","timestamp":"2026-03-16T10:21:23.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"848e3ef2-64b6-4bdd-896f-916bbfdcc791","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). To tell you how to proceed, the user said:\nOnly implement fix 6","is_error":true,"tool_use_id":"toolu_01MUQUrUB1J3djg7qn2AaGP3"}]},"uuid":"b77bf96c-0ab9-4261-bd23-0a58dedad7d2","timestamp":"2026-03-16T10:24:23.877Z","toolUseResult":"Error: The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). To tell you how to proceed, the user said:\nOnly implement fix 6","sourceToolAssistantUUID":"848e3ef2-64b6-4bdd-896f-916bbfdcc791","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b77bf96c-0ab9-4261-bd23-0a58dedad7d2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0111UmUedRJLUfyk1fAr4hgb","type":"message","role":"assistant","content":[{"type":"text","text":"Implementing Fix 6 — wrapping `TransferCachedJobToMain` in a transaction."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":378,"cache_read_input_tokens":119581,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":378},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bXYEaFABPg4xaH3yq6","type":"assistant","uuid":"8f839fcf-1783-4663-ad38-7ef37fe2ab2a","timestamp":"2026-03-16T10:24:27.088Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8f839fcf-1783-4663-ad38-7ef37fe2ab2a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0111UmUedRJLUfyk1fAr4hgb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JFhGVcQF5Zchw4rkuPtFho","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","offset":128,"limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":378,"cache_read_input_tokens":119581,"output_tokens":136,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":378,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bXYEaFABPg4xaH3yq6","type":"assistant","uuid":"afe5848a-2103-431a-9f0e-6e5059471d06","timestamp":"2026-03-16T10:24:27.844Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"afe5848a-2103-431a-9f0e-6e5059471d06","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JFhGVcQF5Zchw4rkuPtFho","toolUseID":"toolu_01JFhGVcQF5Zchw4rkuPtFho","timestamp":"2026-03-16T10:24:27.869Z","uuid":"1d31da9d-c467-4899-99ff-1f1dee33d28f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"afe5848a-2103-431a-9f0e-6e5059471d06","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JFhGVcQF5Zchw4rkuPtFho","type":"tool_result","content":" 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {"}]},"uuid":"3fba4768-a996-491a-87ad-7f3eacae6a2e","timestamp":"2026-03-16T10:24:27.868Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {","numLines":30,"startLine":128,"totalLines":227}},"sourceToolAssistantUUID":"afe5848a-2103-431a-9f0e-6e5059471d06","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3fba4768-a996-491a-87ad-7f3eacae6a2e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Adty3BFTSLUZWqgFLSz1j5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XVi4537WgoypjGsN5sjj7b","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","old_string":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","new_string":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":975,"cache_read_input_tokens":119959,"output_tokens":1077,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":975,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bXqCXzBSgTA7pD8nDT","type":"assistant","uuid":"122536c7-4640-495c-9256-d583b5a41625","timestamp":"2026-03-16T10:24:43.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"122536c7-4640-495c-9256-d583b5a41625","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01XVi4537WgoypjGsN5sjj7b","toolUseID":"toolu_01XVi4537WgoypjGsN5sjj7b","timestamp":"2026-03-16T10:24:46.389Z","uuid":"13ce02fe-7a96-4780-9dc1-1f7c65f62202","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"122536c7-4640-495c-9256-d583b5a41625","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XVi4537WgoypjGsN5sjj7b","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go has been updated successfully."}]},"uuid":"dd4907eb-2949-455a-8a26-ff31af1ac682","timestamp":"2026-03-16T10:24:46.388Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","oldString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","newString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":141,"oldLines":7,"newStart":141,"newLines":13,"lines":[" // TransferCachedJobToMain moves a job from job_cache to the job table."," // Caller must hold r.Mutex. Returns the new job table ID."," func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","- res, err := r.DB.Exec(","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ return 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)","+ }","+ defer tx.Rollback()","+","+ res, err := tx.Exec("," \"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\","," cacheID)"," if err != nil {"]},{"oldStart":153,"oldLines":11,"newStart":159,"newLines":15,"lines":[" return 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)"," }"," ","- _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","+ _, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)"," if err != nil {"," return 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)"," }"," ","+ if err := tx.Commit(); 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production!\n 5→\n 6→Please have a look at the [Release\n 7→Notes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\n 8→for breaking changes!\n 9→\n 10→# ClusterCockpit REST and GraphQL API backend\n 11→\n 12→[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n 13→\n 14→This is a Golang backend implementation for a REST and GraphQL API according to\n 15→the [ClusterCockpit\n 16→specifications](https://github.com/ClusterCockpit/cc-specifications). It also\n 17→includes a web interface for ClusterCockpit. This implementation replaces the\n 18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n 19→switching from PHP Symfony to a Golang based solution are explained\n 20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n 21→\n 22→## Overview\n 23→\n 24→This is a Golang web backend for the ClusterCockpit job-specific performance\n 25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n 26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n 27→analysis scripts. Data exchange between the web front-end and the back-end is\n 28→based on a GraphQL API. The web frontend is also served by the backend using\n 29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n 30→[Bootstrap 5](https://getbootstrap.com/) using\n 31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n 32→\n 33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n 34→While there are metric data backends for the InfluxDB and Prometheus time series\n 35→databases, the only tested and supported setup is to use cc-metric-store as the\n 36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n 37→time series databases will be added in the future.\n 38→\n 39→For real-time integration with HPC systems, the backend can subscribe to\n 40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n 41→state updates, providing an alternative to REST API polling.\n 42→\n 43→Completed batch jobs are stored in a file-based job archive according to\n 44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n 45→The backend supports authentication via local accounts, an external LDAP\n 46→directory, and JWT tokens. Authorization for APIs is implemented with\n 47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n 48→\n 49→You find a detailed documentation on the [ClusterCockpit\n 50→Webpage](https://clustercockpit.org).\n 51→\n 52→## Build requirements\n 53→\n 54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n 55→You can check `go.mod` to see what is the current minimal golang version needed.\n 56→Homebrew and Archlinux usually have current golang versions. For other Linux\n 57→distros this often means that you have to install the golang compiler yourself.\n 58→Fortunately, this is easy with golang. Since much of the functionality is based\n 59→on the Go standard library, it is crucial for security and performance to use a\n 60→current version of golang. In addition, an old golang toolchain may limit the supported\n 61→versions of third-party packages.\n 62→\n 63→## How to try ClusterCockpit with a demo setup\n 64→\n 65→We provide a shell script that downloads demo data and automatically starts the\n 66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n 67→start the demo. The demo downloads 32MB of data (223MB on disk).\n 68→\n 69→```sh\n 70→git clone https://github.com/ClusterCockpit/cc-backend.git\n 71→cd ./cc-backend\n 72→./startDemo.sh\n 73→```\n 74→\n 75→You can also try the demo using the latest release binary.\n 76→Create a folder and put the release binary `cc-backend` into this folder.\n 77→Execute the following steps:\n 78→\n 79→```shell\n 80→./cc-backend -init\n 81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n 82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n 83→tar xf job-archive-demo.tar\n 84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n 85→./cc-backend -server -dev -loglevel info\n 86→```\n 87→\n 88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n 89→Credentials for login are `demo:demo`.\n 90→Please note that some views do not work without a metric backend (e.g., the\n 91→Analysis, Systems and Status views).\n 92→\n 93→## How to build and run\n 94→\n 95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n 96→the following targets:\n 97→\n 98→- `make`: Initialize `var` directory and build svelte frontend and backend\n 99→ binary. Note that there is no proper prerequisite handling. Any change of\n 100→ frontend source files will result in a complete rebuild.\n 101→- `make clean`: Clean go build cache and remove binary.\n 102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n 103→\n 104→A common workflow for setting up cc-backend from scratch is:\n 105→\n 106→```sh\n 107→git clone https://github.com/ClusterCockpit/cc-backend.git\n 108→\n 109→# Build binary\n 110→cd ./cc-backend/\n 111→make\n 112→\n 113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n 114→# If authentication is disabled, it can be empty.\n 115→cp configs/env-template.txt .env\n 116→vim .env\n 117→\n 118→cp configs/config.json .\n 119→vim config.json\n 120→\n 121→#Optional: Link an existing job archive:\n 122→ln -s ./var/job-archive\n 123→\n 124→# This will first initialize the job.db database by traversing all\n 125→# `meta.json` files in the job-archive and add a new user.\n 126→./cc-backend -init-db -add-user :admin:\n 127→\n 128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n 129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n 130→./cc-backend -server -dev\n 131→\n 132→# Show other options:\n 133→./cc-backend -help\n 134→```\n 135→\n 136→## Database Configuration\n 137→\n 138→cc-backend uses SQLite as its database. For large installations, SQLite memory\n 139→usage can be tuned via the optional `db-config` section in config.json under\n 140→`main`:\n 141→\n 142→```json\n 143→{\n 144→ \"main\": {\n 145→ \"db\": \"./var/job.db\",\n 146→ \"db-config\": {\n 147→ \"cache-size-mb\": 2048,\n 148→ \"soft-heap-limit-mb\": 16384,\n 149→ \"max-open-connections\": 4,\n 150→ \"max-idle-connections\": 4,\n 151→ \"max-idle-time-minutes\": 10\n 152→ }\n 153→ }\n 154→}\n 155→```\n 156→\n 157→All fields are optional. If `db-config` is omitted entirely, built-in defaults\n 158→are used.\n 159→\n 160→### Options\n 161→\n 162→| Option | Default | Description |\n 163→| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n 164→| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n 165→| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n 166→| `max-open-connections` | 4 | Maximum number of open database connections. |\n 167→| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n 168→| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n 169→\n 170→### Sizing Guidelines\n 171→\n 172→SQLite's `cache_size` is a **per-connection** setting — each connection\n 173→maintains its own independent page cache. With multiple connections, the total\n 174→memory available for caching is the sum across all connections.\n 175→\n 176→In practice, different connections tend to cache **different pages** (e.g., one\n 177→handles a job listing query while another runs a statistics aggregation), so\n 178→their caches naturally spread across the database. The formula\n 179→`DB_size / max-open-connections` gives enough per-connection cache that the\n 180→combined caches can cover the entire database.\n 181→\n 182→However, this is a best-case estimate. Connections running similar queries will\n 183→cache the same pages redundantly. In the worst case (all connections caching\n 184→identical pages), only `cache-size-mb` worth of unique data is cached rather\n 185→than `cache-size-mb × max-open-connections`. For workloads with diverse\n 186→concurrent queries, cache overlap is typically low.\n 187→\n 188→**Rules of thumb:**\n 189→\n 190→- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n 191→ entire database to be cached in memory. For example, an 80GB database with 8\n 192→ connections needs at least 10240 MB (10GB) per connection. If your workload\n 193→ has many similar concurrent queries, consider setting it higher to account for\n 194→ cache overlap between connections.\n 195→\n 196→- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n 197→ avoid cache thrashing. This is the total SQLite memory budget for the process.\n 198→- On small installations the defaults work well. On servers with large databases\n 199→ (tens of GB) and plenty of RAM, increasing these values significantly improves\n 200→ query performance by reducing disk I/O.\n 201→\n 202→### Example: Large Server (512GB RAM, 80GB database)\n 203→\n 204→```json\n 205→{\n 206→ \"main\": {\n 207→ \"db-config\": {\n 208→ \"cache-size-mb\": 16384,\n 209→ \"soft-heap-limit-mb\": 131072,\n 210→ \"max-open-connections\": 8,\n 211→ \"max-idle-time-minutes\": 30\n 212→ }\n 213→ }\n 214→}\n 215→```\n 216→\n 217→This allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\n 218→with a 128GB soft heap limit, using about 25% of available RAM.\n 219→\n 220→The effective configuration is logged at startup for verification.\n 221→\n 222→## Project file structure\n 223→\n 224→- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n 225→ GitHub Actions workflows and dependabot configuration for CI/CD.\n 226→- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n 227→ contains the API schema files for the REST and GraphQL APIs. The REST API is\n 228→ documented in the OpenAPI 3.0 format in\n 229→ [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n 230→ [./api/schema.graphqls](./api/schema.graphqls).\n 231→- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n 232→ contains the main application entry point and CLI implementation.\n 233→- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n 234→ contains documentation about configuration and command line options and required\n 235→ environment variables. Sample configuration files are provided.\n 236→- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n 237→ contains an example of setting up systemd for production use.\n 238→- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n 239→ contains library source code that is not intended for use by others.\n 240→ - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n 241→ REST API handlers and NATS integration\n 242→ - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n 243→ Job archiving functionality\n 244→ - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n 245→ Authentication (local, LDAP, OIDC) and JWT token handling\n 246→ - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n 247→ Configuration management and validation\n 248→ - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n 249→ GraphQL schema and resolvers\n 250→ - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n 251→ Job data import and database initialization\n 252→ - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n 253→ Dispatches metric data loading to appropriate backends\n 254→ - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n 255→ Database repository layer for jobs and metadata\n 256→ - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n 257→ HTTP router configuration and middleware\n 258→ - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n 259→ Job classification and application detection\n 260→ - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n 261→ Background task management and scheduled jobs\n 262→ - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n 263→ Client for cc-metric-store queries\n 264→- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n 265→ contains Go packages that can be used by other projects.\n 266→ - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n 267→ Job archive backend implementations (filesystem, S3, SQLite)\n 268→ - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n 269→ In-memory metric data store with checkpointing and metric loading\n 270→- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n 271→ Additional command line helper tools.\n 272→ - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n 273→ Commands for getting infos about an existing job archive, importing jobs\n 274→ between archive backends, and converting archives between JSON and Parquet formats.\n 275→ - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n 276→ Tool for migrating job archives between formats.\n 277→ - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n 278→ Tool to convert external pubkey for use in `cc-backend`.\n 279→ - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n 280→ contains a small application to generate a compatible JWT keypair. You find\n 281→ documentation on how to use it\n 282→ [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n 283→- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n 284→ Server-side templates and frontend-related files:\n 285→ - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n 286→ Svelte components and static assets for the frontend UI\n 287→ - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n 288→ Server-side Go templates, including monitoring views\n 289→- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n 290→ Configures the behaviour and generation of\n 291→ [gqlgen](https://github.com/99designs/gqlgen).\n 292→- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n 293→ is a shell script that sets up demo data, and builds and starts `cc-backend`.\n 294→"}]},"uuid":"4cd9f95b-f808-4a37-a113-308032c74511","timestamp":"2026-03-16T10:27:19.687Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","content":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection. If your workload\n has many similar concurrent queries, consider setting it higher to account for\n cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","numLines":294,"startLine":1,"totalLines":294}},"sourceToolAssistantUUID":"6f0d52ca-e714-4e0a-bd73-e92dee2c37e1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4cd9f95b-f808-4a37-a113-308032c74511","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016sb2k9spoRvVE3sa11M3vm","type":"message","role":"assistant","content":[{"type":"text","text":"I can see the Database Configuration section at lines 136-221. 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successfully."}]},"uuid":"e7eaa191-27a9-47aa-99b9-253caf5cddd9","timestamp":"2026-03-16T10:27:28.283Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","oldString":"```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```","newString":"```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10,\n \"busy-timeout-ms\": 60000\n }\n }\n}\n```","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection. If your workload\n has many similar concurrent queries, consider setting it higher to account for\n cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":148,"oldLines":7,"newStart":148,"newLines":8,"lines":[" \"soft-heap-limit-mb\": 16384,"," \"max-open-connections\": 4,"," \"max-idle-connections\": 4,","- \"max-idle-time-minutes\": 10","+ \"max-idle-time-minutes\": 10,","+ \"busy-timeout-ms\": 60000"," }"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f5637273-bc1f-435e-988b-c23545b9baf5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e7eaa191-27a9-47aa-99b9-253caf5cddd9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HvMqoWpyXggQXaS9SVMTNf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015Bnft2KTKVHKz4w3v5Arcp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","old_string":"| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |","new_string":"| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. 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When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10,\n \"busy-timeout-ms\": 60000\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection. If your workload\n has many similar concurrent queries, consider setting it higher to account for\n cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":167,"oldLines":6,"newStart":167,"newLines":7,"lines":[" | `max-open-connections` | 4 | Maximum number of open database connections. |"," | `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |"," | `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |","+| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |"," "," ### Sizing Guidelines"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4566cfaf-2375-48e9-915c-ff5d0fe30fd5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"aaba930c-69be-4bd6-824e-e07c39b989d7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011axmoHjJmzwPLKbuBHnsmy","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify this setting is actually wired up from the JSON config. Let me check how `db-config` is parsed."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":298,"cache_read_input_tokens":128057,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":298},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bmcWByt3oAVSvTNwuU","type":"assistant","uuid":"1c56736e-60ca-4436-96d1-0ae6eaae8f85","timestamp":"2026-03-16T10:27:39.137Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1c56736e-60ca-4436-96d1-0ae6eaae8f85","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011axmoHjJmzwPLKbuBHnsmy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01G75W1hqFgMxc8vhXm8kfsU","name":"Grep","input":{"pattern":"busy-timeout|BusyTimeout","path":"/Users/jan/prg/ClusterCockpit/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":298,"cache_read_input_tokens":128057,"output_tokens":140,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":298,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bmcWByt3oAVSvTNwuU","type":"assistant","uuid":"73dd3e91-0f87-4969-82da-96ee156e2cf6","timestamp":"2026-03-16T10:27:39.759Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"73dd3e91-0f87-4969-82da-96ee156e2cf6","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01G75W1hqFgMxc8vhXm8kfsU","toolUseID":"toolu_01G75W1hqFgMxc8vhXm8kfsU","timestamp":"2026-03-16T10:27:39.806Z","uuid":"62384c69-1bda-44f0-b08a-ceb18724bfb5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"73dd3e91-0f87-4969-82da-96ee156e2cf6","isSidechain":false,"promptId":"41461524-0919-4a29-87a4-8399f696e77c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G75W1hqFgMxc8vhXm8kfsU","type":"tool_result","content":"README.md:152: \"busy-timeout-ms\": 60000\nREADME.md:170:| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |\ninternal/repository/config.go:50:\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\ninternal/repository/config.go:54:\tBusyTimeoutMs int\ninternal/repository/config.go:69:\t\tBusyTimeoutMs: 60000, // 60 seconds\ninternal/repository/dbConnection.go:73:\t\tconnectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))"}]},"uuid":"8e5f38e3-7404-46c4-871a-bc94cd949314","timestamp":"2026-03-16T10:27:39.806Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"README.md:152: \"busy-timeout-ms\": 60000\nREADME.md:170:| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |\ninternal/repository/config.go:50:\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\ninternal/repository/config.go:54:\tBusyTimeoutMs int\ninternal/repository/config.go:69:\t\tBusyTimeoutMs: 60000, // 60 seconds\ninternal/repository/dbConnection.go:73:\t\tconnectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))","numLines":6},"sourceToolAssistantUUID":"73dd3e91-0f87-4969-82da-96ee156e2cf6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8e5f38e3-7404-46c4-871a-bc94cd949314","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GFc7XbDXcztzzqsGq35GpT","type":"message","role":"assistant","content":[{"type":"text","text":"Let me 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[\"policy\"]\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go-180- },\ninternal/config/schema.go:181: \"db-config\": {\ninternal/config/schema.go-182- \"description\": \"SQLite database tuning configuration.\",\ninternal/config/schema.go-183- \"type\": \"object\",\ninternal/config/schema.go-184- \"properties\": {\n--\ninternal/config/config.go-79-\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-80-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-81-\t// Database tuning configuration\ninternal/config/config.go:82:\tDbConfig *DbConfig `json:\"db-config\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-83-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-84-\ninternal/config/config.go:85:type DbConfig struct {\ninternal/config/config.go-86-\tCacheSizeMB int `json:\"cache-size-mb\"`\ninternal/config/config.go-87-\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\ninternal/config/config.go-88-\tMaxOpenConnections int `json:\"max-open-connections\"`"}]},"uuid":"d9e0cc7f-ba51-4cc5-a50d-6043c6bf0f35","timestamp":"2026-03-16T10:27:48.724Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go-178- },\ninternal/config/schema.go-179- \"required\": [\"policy\"]\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go-180- },\ninternal/config/schema.go:181: \"db-config\": {\ninternal/config/schema.go-182- \"description\": \"SQLite database tuning configuration.\",\ninternal/config/schema.go-183- \"type\": \"object\",\ninternal/config/schema.go-184- \"properties\": {\n--\ninternal/config/config.go-79-\tNodeStateRetention *NodeStateRetention 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`json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→}\n 92→\n 93→type NodeStateRetention struct {\n 94→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 95→\tAge int `json:\"age\"` // hours, default 24\n 96→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 97→\tTargetPath string `json:\"target-path\"`\n 98→\tTargetEndpoint string `json:\"target-endpoint\"`\n 99→\tTargetBucket string `json:\"target-bucket\"`\n 100→\tTargetAccessKey string `json:\"target-access-key\"`\n 101→\tTargetSecretKey string `json:\"target-secret-key\"`\n 102→\tTargetRegion string `json:\"target-region\"`\n 103→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 104→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 105→}\n 106→\n 107→type ResampleConfig struct {\n 108→\t// Minimum number of points to trigger resampling of data\n 109→\tMinimumPoints int `json:\"minimum-points\"`\n 110→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 111→\tResolutions []int `json:\"resolutions\"`\n 112→\t// Trigger next zoom level at less than this many visible datapoints\n 113→\tTrigger int `json:\"trigger\"`\n 114→}\n 115→\n 116→type NATSConfig struct {\n 117→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 118→\tSubjectNodeState string `json:\"subject-node-state\"`\n 119→}\n 120→\n 121→type IntRange struct {\n 122→\tFrom int `json:\"from\"`\n 123→\tTo int `json:\"to\"`\n 124→}"}]},"uuid":"e2449be5-d639-40ea-897d-86e7fcef64d1","timestamp":"2026-03-16T10:27:51.995Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"type DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}","numLines":40,"startLine":85,"totalLines":159}},"sourceToolAssistantUUID":"0df8f9d4-687a-477f-8ad7-0063855df642","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e2449be5-d639-40ea-897d-86e7fcef64d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q3Bv6CWN2AY8xkjfahAu3S","type":"message","role":"assistant","content":[{"type":"text","text":"I need to add `BusyTimeoutMs` to the `DbConfig` struct. Let me also check where DbConfig is mapped to RepositoryConfig."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":739,"cache_read_input_tokens":129597,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":739},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bnstBerg4ks6ZmK2fX","type":"assistant","uuid":"6765ddc4-70ad-43cb-a577-bfeaa2067922","timestamp":"2026-03-16T10:27:55.898Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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configuration\n82:\tDbConfig *DbConfig `json:\"db-config\"`\n83-}\n84-\n85:type DbConfig struct {\n86-\tCacheSizeMB int `json:\"cache-size-mb\"`\n87-\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n88-\tMaxOpenConnections int `json:\"max-open-connections\"`\n89-\tMaxIdleConnections int `json:\"max-idle-connections\"`\n90-\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`"}]},"uuid":"065fd176-0a3c-40d9-bfec-cd983d1e4381","timestamp":"2026-03-16T10:27:56.666Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"77-\n78-\t// Node state retention configuration\n79-\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n80-\n81-\t// Database tuning configuration\n82:\tDbConfig *DbConfig `json:\"db-config\"`\n83-}\n84-\n85:type DbConfig struct {\n86-\tCacheSizeMB int `json:\"cache-size-mb\"`\n87-\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n88-\tMaxOpenConnections int `json:\"max-open-connections\"`\n89-\tMaxIdleConnections int 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nil\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-108-}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-109-\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-110-func initDatabase() error {\ncmd/cc-backend/main.go:111:\tif config.Keys.DbConfig != nil {\ncmd/cc-backend/main.go-112-\t\tcfg := repository.DefaultConfig()\ncmd/cc-backend/main.go:113:\t\tdc := config.Keys.DbConfig\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-114-\t\tif dc.CacheSizeMB > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-115-\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-116-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-117-\t\tif dc.SoftHeapLimitMB > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-118-\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-124-\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-125-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-126-\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-127-\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-128-\t\t}\ncmd/cc-backend/main.go:129:\t\trepository.SetConfig(cfg)\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-130-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-131-\trepository.Connect(config.Keys.DB)\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-132-\treturn 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I need to add it to `DbConfig`, the mapping in `main.go`, and the JSON schema. Let me do all three."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1035,"cache_read_input_tokens":130705,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1035},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6boYarTHnHDkYoT2UuK","type":"assistant","uuid":"f045b316-3390-4a9f-a699-3449ccfffcf4","timestamp":"2026-03-16T10:28:04.830Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":88,"oldLines":6,"newStart":88,"newLines":7,"lines":[" MaxOpenConnections int `json:\"max-open-connections\"`"," MaxIdleConnections int `json:\"max-idle-connections\"`"," ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+ BusyTimeoutMs int `json:\"busy-timeout-ms\"`"," }"," "," type NodeStateRetention struct 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _ _ ____ _ _ _\n/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate string\n\tcommit string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles: strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. Load environment variables from .env file (contains sensitive configuration)\n\t// 2. Load configuration from config.json (may reference environment variables)\n\t// 3. Handle database migration commands if requested\n\t// 4. Initialize database connection (requires config for connection string)\n\t// 5. Handle user commands if requested (requires database and authentication config)\n\t// 6. Initialize subsystems like archive and metrics (require config and database)\n\n\t// Load environment and configuration\n\tif err := loadEnvironment(); err != nil {\n\t\treturn err\n\t}\n\n\tif err := initConfiguration(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle database migration (migrate, revert, force)\n\tif err := handleDatabaseCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize database\n\tif err := initDatabase(); err != nil {\n\t\treturn err\n\t}\n\n\t// Optimize database if requested\n\tif flagOptimizeDB {\n\t\tdb := repository.GetConnection()\n\t\tcclog.Print(\"Running VACUUM to reclaim space and defragment database...\")\n\t\tif _, err := db.DB.Exec(\"VACUUM\"); err != nil {\n\t\t\treturn fmt.Errorf(\"VACUUM failed: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Running ANALYZE to update query planner statistics...\")\n\t\tif _, err := db.DB.Exec(\"ANALYZE\"); err != nil {\n\t\t\treturn fmt.Errorf(\"ANALYZE failed: %w\", err)\n\t\t}\n\t\tcclog.Exitf(\"OptimizeDB Success: Database '%s' optimized (VACUUM + ANALYZE).\\n\", config.Keys.DB)\n\t}\n\n\t// Handle user commands (add, delete, sync, JWT)\n\tif err := handleUserCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems (archive, metrics, taggers)\n\tif err := initSubsystems(); err != nil {\n\t\treturn err\n\t}\n\n\t// Exit if start server is not requested\n\tif !flagServer {\n\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n\t}\n\n\t// Run server with context\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel()\n\n\treturn runServer(ctx)\n}\n\nfunc main() {\n\tif err := run(); err != nil {\n\t\tcclog.Error(err.Error())\n\t\tos.Exit(1)\n\t}\n}\n","structuredPatch":[{"oldStart":126,"oldLines":6,"newStart":126,"newLines":9,"lines":[" if dc.ConnectionMaxIdleTimeMins > 0 {"," cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute"," }","+ if dc.BusyTimeoutMs > 0 {","+ cfg.BusyTimeoutMs = dc.BusyTimeoutMs","+ }"," repository.SetConfig(cfg)"," }"," repository.Connect(config.Keys.DB)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"69040aa8-8fbb-48cf-8108-f71e53910a0f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+ +--- + +Update the Database config section in the README to reflect the new setting \ No newline at end of file diff --git a/3a/40b75edd68/2/content_hash.txt b/3a/40b75edd68/2/content_hash.txt new file mode 100644 index 00000000..9c8c6130 --- /dev/null +++ b/3a/40b75edd68/2/content_hash.txt @@ -0,0 +1 @@ +sha256:607f2ebe8d533dcb5000608042d76c03725f7a3b8586325d1b5fe65cedf375ff \ No newline at end of file diff --git a/3a/40b75edd68/2/full.jsonl b/3a/40b75edd68/2/full.jsonl new file mode 100644 index 00000000..7243af1f --- /dev/null +++ b/3a/40b75edd68/2/full.jsonl @@ -0,0 +1,138 @@ +{"type":"file-history-snapshot","messageId":"2063c4ef-3efc-41c5-8c18-f58e4b3c1730","snapshot":{"messageId":"2063c4ef-3efc-41c5-8c18-f58e4b3c1730","trackedFileBackups":{},"timestamp":"2026-03-16T10:56:04.268Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"a7f95851-95e6-4c85-aab7-a8cbae2e563b","toolUseID":"a7f95851-95e6-4c85-aab7-a8cbae2e563b","timestamp":"2026-03-16T10:56:04.190Z","uuid":"dc304420-fd11-4702-9595-8a0598cd2742","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix"} +{"parentUuid":"dc304420-fd11-4702-9595-8a0598cd2742","isSidechain":false,"promptId":"199b3d72-f5b0-4b75-86a0-07c82c987e1a","type":"user","message":{"role":"user","content":"Caveat: The messages below were generated by the user while running local commands. 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Look in internal/api/nats.go. I need:\n1. The full implementation of the NATS node state handler\n2. The message format it expects\n3. All validation and business logic\n4. Database operations performed\n5. How it differs from the REST implementation\n\nAlso check the config for NATS subjects and any related types/structs."}]},"uuid":"a29f0c33-59c3-4cc7-9849-672d416421ba","timestamp":"2026-03-16T10:57:11.843Z"},"type":"agent_progress","prompt":"Find and thoroughly analyze the NATS implementation for handling node state updates in the cc-backend project. Look in internal/api/nats.go. I need:\n1. The full implementation of the NATS node state handler\n2. The message format it expects\n3. All validation and business logic\n4. Database operations performed\n5. 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+{"parentUuid":"20fc6571-7e56-47b4-95d6-1d554744a4be","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ufjz7JYLpC1gDqKn71ykPC","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n 28→type natsMessage struct {\n 29→\tsubject string\n 30→\tdata []byte\n 31→}\n 32→\n 33→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 34→// It mirrors the functionality of the REST API but uses NATS messaging with\n 35→// InfluxDB line protocol as the message format.\n 36→//\n 37→// # Message Format\n 38→//\n 39→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 40→// with the following structure:\n 41→//\n 42→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 43→//\n 44→// # Job Events\n 45→//\n 46→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 47→//\n 48→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 49→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 50→//\n 51→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 52→//\n 53→// Example job start message:\n 54→//\n 55→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 56→//\n 57→// # Node State Events\n 58→//\n 59→// Node state updates use the \"nodestate\" measurement with cluster information:\n 60→//\n 61→//\tnodestate event=\"{...JSON payload...}\" \n 62→//\n 63→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 64→//\n 65→// Example node state message:\n 66→//\n 67→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 68→type NatsAPI struct {\n 69→\tJobRepository *repository.JobRepository\n 70→\t// RepositoryMutex protects job creation operations from race conditions\n 71→\t// when checking for duplicate jobs during startJob calls.\n 72→\tRepositoryMutex sync.Mutex\n 73→\t// jobCh receives job event messages for processing by worker goroutines.\n 74→\tjobCh chan natsMessage\n 75→\t// nodeCh receives node state messages for processing by worker goroutines.\n 76→\tnodeCh chan natsMessage\n 77→}\n 78→\n 79→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n 80→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n 81→func NewNatsAPI() *NatsAPI {\n 82→\tjobConc := 8\n 83→\tnodeConc := 2\n 84→\n 85→\tif s := config.Keys.APISubjects; s != nil {\n 86→\t\tif s.JobConcurrency > 0 {\n 87→\t\t\tjobConc = s.JobConcurrency\n 88→\t\t}\n 89→\t\tif s.NodeConcurrency > 0 {\n 90→\t\t\tnodeConc = s.NodeConcurrency\n 91→\t\t}\n 92→\t}\n 93→\n 94→\tapi := &NatsAPI{\n 95→\t\tJobRepository: repository.GetJobRepository(),\n 96→\t\tjobCh: make(chan natsMessage, jobConc),\n 97→\t\tnodeCh: make(chan natsMessage, nodeConc),\n 98→\t}\n 99→\n 100→\t// Start worker goroutines\n 101→\tfor range jobConc {\n 102→\t\tgo api.jobWorker()\n 103→\t}\n 104→\tfor range nodeConc {\n 105→\t\tgo api.nodeWorker()\n 106→\t}\n 107→\n 108→\treturn api\n 109→}\n 110→\n 111→// jobWorker processes job event messages from the job channel.\n 112→func (api *NatsAPI) jobWorker() {\n 113→\tfor msg := range api.jobCh {\n 114→\t\tapi.handleJobEvent(msg.subject, msg.data)\n 115→\t}\n 116→}\n 117→\n 118→// nodeWorker processes node state messages from the node channel.\n 119→func (api *NatsAPI) nodeWorker() {\n 120→\tfor msg := range api.nodeCh {\n 121→\t\tapi.handleNodeState(msg.subject, msg.data)\n 122→\t}\n 123→}\n 124→\n 125→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 126→// Messages are delivered to buffered channels and processed by worker goroutines.\n 127→// Returns an error if the NATS client is not available or subscription fails.\n 128→func (api *NatsAPI) StartSubscriptions() error {\n 129→\tclient := nats.GetClient()\n 130→\tif client == nil {\n 131→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 132→\t\treturn nil\n 133→\t}\n 134→\n 135→\tif config.Keys.APISubjects != nil {\n 136→\t\ts := config.Keys.APISubjects\n 137→\n 138→\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n 139→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n 140→\t\t}); err != nil {\n 141→\t\t\treturn err\n 142→\t\t}\n 143→\n 144→\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n 145→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n 146→\t\t}); err != nil {\n 147→\t\t\treturn err\n 148→\t\t}\n 149→\n 150→\t\tcclog.Info(\"NATS API subscriptions started\")\n 151→\t}\n 152→\treturn nil\n 153→}\n 154→\n 155→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 156→// Validates that required tags and fields are present before processing.\n 157→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 158→\tfunction, ok := msg.GetTag(\"function\")\n 159→\tif !ok {\n 160→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 161→\t\treturn\n 162→\t}\n 163→\n 164→\tswitch function {\n 165→\tcase \"start_job\":\n 166→\t\tv, ok := msg.GetEventValue()\n 167→\t\tif !ok {\n 168→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 169→\t\t\treturn\n 170→\t\t}\n 171→\t\tapi.handleStartJob(v)\n 172→\n 173→\tcase \"stop_job\":\n 174→\t\tv, ok := msg.GetEventValue()\n 175→\t\tif !ok {\n 176→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 177→\t\t\treturn\n 178→\t\t}\n 179→\t\tapi.handleStopJob(v)\n 180→\n 181→\tdefault:\n 182→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 183→\t}\n 184→}\n 185→\n 186→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 187→// The message must be in line protocol format with measurement=\"job\" and include:\n 188→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 189→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 190→//\n 191→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 192→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 193→\tif len(data) == 0 {\n 194→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 195→\t\treturn\n 196→\t}\n 197→\n 198→\td := influx.NewDecoderWithBytes(data)\n 199→\n 200→\tfor d.Next() {\n 201→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 202→\t\tif err != nil {\n 203→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 204→\t\t\treturn\n 205→\t\t}\n 206→\n 207→\t\tif !m.IsEvent() {\n 208→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 209→\t\t\tcontinue\n 210→\t\t}\n 211→\n 212→\t\tif m.Name() == \"job\" {\n 213→\t\t\tapi.processJobEvent(m)\n 214→\t\t} else {\n 215→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 216→\t\t}\n 217→\t}\n 218→}\n 219→\n 220→// handleStartJob processes job start messages received via NATS.\n 221→// The payload parameter contains JSON following the schema.Job structure.\n 222→// Jobs are validated, checked for duplicates, and inserted into the database.\n 223→func (api *NatsAPI) handleStartJob(payload string) {\n 224→\tif payload == \"\" {\n 225→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 226→\t\treturn\n 227→\t}\n 228→\treq := schema.Job{\n 229→\t\tShared: \"none\",\n 230→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 231→\t}\n 232→\n 233→\tdec := json.NewDecoder(strings.NewReader(payload))\n 234→\tdec.DisallowUnknownFields()\n 235→\tif err := dec.Decode(&req); err != nil {\n 236→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 237→\t\treturn\n 238→\t}\n 239→\n 240→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 241→\treq.State = schema.JobStateRunning\n 242→\n 243→\tif err := importer.SanityChecks(&req); err != nil {\n 244→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 245→\t\treturn\n 246→\t}\n 247→\n 248→\tvar unlockOnce sync.Once\n 249→\tapi.RepositoryMutex.Lock()\n 250→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 251→\n 252→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 253→\tif err != nil && err != sql.ErrNoRows {\n 254→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 255→\t\treturn\n 256→\t}\n 257→\tif err == nil {\n 258→\t\tfor _, job := range jobs {\n 259→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 260→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 261→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 262→\t\t\t\treturn\n 263→\t\t\t}\n 264→\t\t}\n 265→\t}\n 266→\n 267→\t// When tags are present, insert directly into the job table so that the\n 268→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 269→\tvar id int64\n 270→\tif len(req.Tags) > 0 {\n 271→\t\tid, err = api.JobRepository.StartDirect(&req)\n 272→\t} else {\n 273→\t\tid, err = api.JobRepository.Start(&req)\n 274→\t}\n 275→\tif err != nil {\n 276→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 277→\t\treturn\n 278→\t}\n 279→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 280→\n 281→\tfor _, tag := range req.Tags {\n 282→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 283→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 284→\t\t\treturn\n 285→\t\t}\n 286→\t}\n 287→\n 288→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 289→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 290→}\n 291→\n 292→// handleStopJob processes job stop messages received via NATS.\n 293→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 294→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 295→func (api *NatsAPI) handleStopJob(payload string) {\n 296→\tif payload == \"\" {\n 297→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 298→\t\treturn\n 299→\t}\n 300→\tvar req StopJobAPIRequest\n 301→\n 302→\tdec := json.NewDecoder(strings.NewReader(payload))\n 303→\tdec.DisallowUnknownFields()\n 304→\tif err := dec.Decode(&req); err != nil {\n 305→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 306→\t\treturn\n 307→\t}\n 308→\n 309→\tif req.JobID == nil {\n 310→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 311→\t\treturn\n 312→\t}\n 313→\n 314→\tisCached := false\n 315→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 316→\tif err != nil {\n 317→\t\t// Not in cache, try main job table\n 318→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 319→\t\tif err != nil {\n 320→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 321→\t\t\treturn\n 322→\t\t}\n 323→\t} else {\n 324→\t\tisCached = true\n 325→\t}\n 326→\n 327→\tif job.State != schema.JobStateRunning {\n 328→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 329→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 330→\t\treturn\n 331→\t}\n 332→\n 333→\tif job.StartTime > req.StopTime {\n 334→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 335→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 336→\t\treturn\n 337→\t}\n 338→\n 339→\tif req.State != \"\" && !req.State.Valid() {\n 340→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 341→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 342→\t\treturn\n 343→\t} else if req.State == \"\" {\n 344→\t\treq.State = schema.JobStateCompleted\n 345→\t}\n 346→\n 347→\tjob.Duration = int32(req.StopTime - job.StartTime)\n 348→\tjob.State = req.State\n 349→\tapi.JobRepository.Mutex.Lock()\n 350→\tdefer api.JobRepository.Mutex.Unlock()\n 351→\n 352→\t// If the job is still in job_cache, transfer it to the job table first\n 353→\tif isCached {\n 354→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n 355→\t\tif err != nil {\n 356→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n 357→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n 358→\t\t\treturn\n 359→\t\t}\n 360→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n 361→\t\tjob.ID = &newID\n 362→\t}\n 363→\n 364→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n 365→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n 366→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n 367→\t\treturn\n 368→\t}\n 369→\n 370→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n 371→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n 372→\n 373→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n 374→\t\treturn\n 375→\t}\n 376→\n 377→\tarchiver.TriggerArchiving(job)\n 378→}\n 379→\n 380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 381→// Updates node states in the repository for all nodes in the payload.\n 382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 383→\tv, ok := msg.GetEventValue()\n 384→\tif !ok {\n 385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 386→\t\treturn\n 387→\t}\n 388→\n 389→\tvar req UpdateNodeStatesRequest\n 390→\n 391→\tdec := json.NewDecoder(strings.NewReader(v))\n 392→\tdec.DisallowUnknownFields()\n 393→\tif err := dec.Decode(&req); err != nil {\n 394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 395→\t\treturn\n 396→\t}\n 397→\n 398→\trepo := repository.GetNodeRepository()\n 399→\trequestReceived := time.Now().Unix()\n 400→\n 401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 402→\tfor _, node := range req.Nodes {\n 403→\t\tstate := determineState(node.States)\n 404→\t\tnodeState := schema.NodeStateDB{\n 405→\t\t\tTimeStamp: requestReceived,\n 406→\t\t\tNodeState: state,\n 407→\t\t\tCpusAllocated: node.CpusAllocated,\n 408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 409→\t\t\tGpusAllocated: node.GpusAllocated,\n 410→\t\t\tHealthState: schema.MonitoringStateFull,\n 411→\t\t\tJobsRunning: node.JobsRunning,\n 412→\t\t}\n 413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 414→\t\t\tHostname: node.Hostname,\n 415→\t\t\tCluster: req.Cluster,\n 416→\t\t\tNodeState: &nodeState,\n 417→\t\t})\n 418→\t}\n 419→\n 420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n 422→\t}\n 423→\n 424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 425→}\n 426→\n 427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 429→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 430→//\n 431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 433→\tif len(data) == 0 {\n 434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 435→\t\treturn\n 436→\t}\n 437→\n 438→\td := influx.NewDecoderWithBytes(data)\n 439→\n 440→\tfor d.Next() {\n 441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 442→\t\tif err != nil {\n 443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 444→\t\t\treturn\n 445→\t\t}\n 446→\n 447→\t\tif !m.IsEvent() {\n 448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 449→\t\t\tcontinue\n 450→\t\t}\n 451→\n 452→\t\tif m.Name() == \"nodestate\" {\n 453→\t\t\tapi.processNodestateEvent(m)\n 454→\t\t} else {\n 455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 456→\t\t}\n 457→\t}\n 458→}\n 459→"}]},"uuid":"5ffa60d5-a04a-4575-9dda-74c10d43a5b1","timestamp":"2026-03-16T10:57:13.308Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"029bbc44-7a24-4864-b219-5adc52052ae5","timestamp":"2026-03-16T10:57:13.460Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"029bbc44-7a24-4864-b219-5adc52052ae5","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:57:13.468Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01FBakGD1Rc5oN17Dre55RXR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011Xj5CsAVWNLxsuib3wC6mQ","name":"Glob","input":{"pattern":"**/*.go","path":"/Users/jan/prg/ClusterCockpit/cc-backend"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":3792,"cache_read_input_tokens":13461,"cache_creation":{"ephemeral_5m_input_tokens":3792,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6e2c6XvFtLXWtAhbjrc","uuid":"3ea35684-3456-49f9-9812-7d5658edd426"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"0ff6752c-8659-415c-b622-8a575b7410c5","timestamp":"2026-03-16T10:57:13.468Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"0ff6752c-8659-415c-b622-8a575b7410c5","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wi9zh3PibLwZ4mAHUG2dTT","type":"tool_result","content":"internal/api/node.go:23:type UpdateNodeStatesRequest struct {\ninternal/api/node.go:58:// @summary Deliver updated Slurm node states\ninternal/api/node.go:63:// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\ninternal/api/node.go:73:\treq := UpdateNodeStatesRequest{}\ninternal/api/node.go:145:\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\ninternal/api/docs.go:914: \"summary\": \"Deliver updated Slurm node states\",\ninternal/api/docs.go:922: \"$ref\": \"#/definitions/api.UpdateNodeStatesRequest\"\ninternal/api/docs.go:2093: \"api.UpdateNodeStatesRequest\": {\ninternal/api/nats.go:59:// Node state updates use the \"nodestate\" measurement with cluster information:\ninternal/api/nats.go:63:// The JSON payload follows the UpdateNodeStatesRequest structure.\ninternal/api/nats.go:389:\tvar req UpdateNodeStatesRequest\ninternal/api/nats.go:420:\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\ninternal/api/nats.go:424:\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\ninternal/api/nats.go:429:// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)"}]},"uuid":"9d777350-3605-41df-ada5-e60d4f2364a5","timestamp":"2026-03-16T10:57:13.459Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"5c664666-74d2-4014-8d6e-d93ccb252acf","timestamp":"2026-03-16T10:57:13.656Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"5c664666-74d2-4014-8d6e-d93ccb252acf","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:57:13.694Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_0193UkdNidmLkw6HkhikBzaG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019AyD7E3siDMVXwmqz853pA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4877,"cache_read_input_tokens":13461,"cache_creation":{"ephemeral_5m_input_tokens":4877,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6e2cKvHDYhyFsiipB52","uuid":"317d11aa-87a0-4f53-96b7-9ffc2520aa60"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"4b4934e4-dde7-4726-a284-29e0573b275d","timestamp":"2026-03-16T10:57:13.694Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4b4934e4-dde7-4726-a284-29e0573b275d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019AyD7E3siDMVXwmqz853pA","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 120→\tfor _, node := range req.Nodes {\n 121→\t\tstate := determineState(node.States)\n 122→\t\thealthState := schema.MonitoringStateFailed\n 123→\t\tvar healthMetrics string\n 124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 125→\t\t\thealthState = result.State\n 126→\t\t\thealthMetrics = result.HealthMetrics\n 127→\t\t}\n 128→\t\tnodeState := schema.NodeStateDB{\n 129→\t\t\tTimeStamp: requestReceived,\n 130→\t\t\tNodeState: state,\n 131→\t\t\tCpusAllocated: node.CpusAllocated,\n 132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 133→\t\t\tGpusAllocated: node.GpusAllocated,\n 134→\t\t\tHealthState: healthState,\n 135→\t\t\tHealthMetrics: healthMetrics,\n 136→\t\t\tJobsRunning: node.JobsRunning,\n 137→\t\t}\n 138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 139→\t\t\tHostname: node.Hostname,\n 140→\t\t\tCluster: req.Cluster,\n 141→\t\t\tNodeState: &nodeState,\n 142→\t\t})\n 143→\t}\n 144→\n 145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n 147→\t}\n 148→\n 149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 150→}\n 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err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:266:\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:272:\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:278:\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:288:\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:296:\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go:301:\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, 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+{"parentUuid":"dca78925-be6d-407a-b96d-5c7670e19502","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019eh6XRpocoCPuhgpMgd2Ej","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 120→\tfor _, node := range req.Nodes {\n 121→\t\tstate := determineState(node.States)\n 122→\t\thealthState := schema.MonitoringStateFailed\n 123→\t\tvar healthMetrics string\n 124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 125→\t\t\thealthState = result.State\n 126→\t\t\thealthMetrics = result.HealthMetrics\n 127→\t\t}\n 128→\t\tnodeState := schema.NodeStateDB{\n 129→\t\t\tTimeStamp: requestReceived,\n 130→\t\t\tNodeState: state,\n 131→\t\t\tCpusAllocated: node.CpusAllocated,\n 132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 133→\t\t\tGpusAllocated: node.GpusAllocated,\n 134→\t\t\tHealthState: healthState,\n 135→\t\t\tHealthMetrics: healthMetrics,\n 136→\t\t\tJobsRunning: node.JobsRunning,\n 137→\t\t}\n 138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 139→\t\t\tHostname: node.Hostname,\n 140→\t\t\tCluster: req.Cluster,\n 141→\t\t\tNodeState: &nodeState,\n 142→\t\t})\n 143→\t}\n 144→\n 145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n 147→\t}\n 148→\n 149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 150→}\n 151→"}]},"uuid":"3adfdeac-6e95-465a-9e3c-a502f63aee8f","timestamp":"2026-03-16T10:57:18.010Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"147b2518-6a16-4db2-bf20-43b7205e0ce8","timestamp":"2026-03-16T10:57:18.030Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"147b2518-6a16-4db2-bf20-43b7205e0ce8","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RFY3PFxf2XX5EdB3GmrE4i","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n 248→type NodeStateUpdate struct {\n 249→\tHostname string\n 250→\tCluster string\n 251→\tNodeState *schema.NodeStateDB\n 252→}\n 253→\n 254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n 255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n 256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n 257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n 258→\ttx, err := r.DB.Beginx()\n 259→\tif err != nil {\n 260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n 261→\t}\n 262→\tdefer tx.Rollback()\n 263→\n 264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n 265→\tif err != nil {\n 266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n 267→\t}\n 268→\tdefer stmtLookup.Close()\n 269→\n 270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n 271→\tif err != nil {\n 272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n 273→\t}\n 274→\tdefer stmtInsertNode.Close()\n 275→\n 276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n 277→\tif err != nil {\n 278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n 279→\t}\n 280→\tdefer stmtInsertState.Close()\n 281→\n 282→\tfor _, u := range updates {\n 283→\t\tvar id int64\n 284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n 285→\t\t\tif err == sql.ErrNoRows {\n 286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n 287→\t\t\t\tif scErr != nil {\n 288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n 289→\t\t\t\t\tcontinue\n 290→\t\t\t\t}\n 291→\t\t\t\tnode := schema.NodeDB{\n 292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n 293→\t\t\t\t}\n 294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n 295→\t\t\t\tif insertErr != nil {\n 296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n 297→\t\t\t\t\tcontinue\n 298→\t\t\t\t}\n 299→\t\t\t\tid, _ = res.LastInsertId()\n 300→\t\t\t} else {\n 301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n 302→\t\t\t\tcontinue\n 303→\t\t\t}\n 304→\t\t}\n 305→\n 306→\t\tu.NodeState.NodeID = id\n 307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n 308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n 309→\t\t}\n 310→\t}\n 311→\n 312→\tif err := tx.Commit(); err != nil {\n 313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n 314→\t}\n 315→\treturn nil\n 316→}\n 317→\n 318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 321→// \t\treturn err\n 322→// \t}\n 323→//\n 324→// \treturn nil\n 325→// }\n 326→\n 327→// NodeStateWithNode combines a node state row with denormalized node info.\n 328→type NodeStateWithNode struct {\n 329→\tID int64 `db:\"id\"`\n 330→\tTimeStamp int64 `db:\"time_stamp\"`\n 331→\tNodeState string `db:\"node_state\"`\n 332→\tHealthState string `db:\"health_state\"`\n 333→\tHealthMetrics string `db:\"health_metrics\"`\n 334→\tCpusAllocated int `db:\"cpus_allocated\"`\n 335→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 336→\tGpusAllocated int `db:\"gpus_allocated\"`\n 337→\tJobsRunning int `db:\"jobs_running\"`\n 338→\tHostname string `db:\"hostname\"`\n 339→\tCluster string `db:\"cluster\"`\n 340→\tSubCluster string `db:\"subcluster\"`\n 341→}\n 342→\n 343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 344→// joined with node info for denormalized archiving.\n 345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 346→\trows, err := sq.Select(\n 347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 352→\t).\n 353→\t\tFrom(\"node_state\").\n 354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 358→\t\tRunWith(r.DB).Query()\n 359→\tif err != nil {\n 360→\t\treturn nil, err\n 361→\t}\n 362→\tdefer rows.Close()\n 363→\n 364→\tvar result []NodeStateWithNode\n 365→\tfor rows.Next() {\n 366→\t\tvar ns NodeStateWithNode\n 367→\t\tvar healthMetrics sql.NullString\n 368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 369→\t\t\t&ns.HealthState, &healthMetrics,\n 370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 373→\t\t\treturn nil, err\n 374→\t\t}\n 375→\t\tns.HealthMetrics = healthMetrics.String\n 376→\t\tresult = append(result, ns)\n 377→\t}\n 378→\treturn result, nil\n 379→}\n 380→\n 381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 382→// but always preserves the row with the latest timestamp per node_id.\n 383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 384→\tres, err := r.DB.Exec(\n 385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 386→\t\t AND id NOT IN (\n 387→\t\t SELECT id FROM node_state ns2\n 388→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 389→\t\t )`,\n 390→\t\tcutoff,\n 391→\t)\n 392→\tif err != nil {\n 393→\t\treturn 0, err\n 394→\t}\n 395→\treturn res.RowsAffected()\n 396→}\n 397→\n 398→func (r *NodeRepository) DeleteNode(id int64) error {\n 399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 400→\tif err != nil {\n 401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 402→\t\treturn err\n 403→\t}\n 404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 405→\treturn nil\n 406→}\n 407→\n 408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 409→// on the last state (largest timestamp).\n 410→func (r *NodeRepository) QueryNodes(\n 411→\tctx context.Context,\n 412→\tfilters []*model.NodeFilter,\n 413→\tpage *model.PageRequest,\n 414→\torder *model.OrderByInput, // Currently unused!\n 415→) ([]*schema.Node, error) {\n 416→\tquery, qerr := AccessCheck(ctx,\n 417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 419→\t\t\tFrom(\"node\").\n 420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 421→\t\t\tWhere(latestStateCondition()))\n 422→\tif qerr != nil {\n 423→\t\treturn nil, qerr\n 424→\t}\n 425→\n 426→\tquery = applyNodeFilters(query, filters)\n 427→\tquery = query.OrderBy(\"node.hostname ASC\")\n 428→\n 429→\tif page != nil && page.ItemsPerPage != -1 {\n 430→\t\tlimit := uint64(page.ItemsPerPage)\n 431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 432→\t}\n 433→\n 434→\trows, err := query.RunWith(r.stmtCache).Query()\n 435→\tif err != nil {\n 436→\t\tqueryString, queryVars, _ := query.ToSql()\n 437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 438→\t\treturn nil, err\n 439→\t}\n 440→\tdefer rows.Close()\n 441→\n 442→\tnodes := make([]*schema.Node, 0)\n 443→\tfor rows.Next() {\n 444→\t\tnode := schema.Node{}\n 445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 448→\t\t\treturn nil, err\n 449→\t\t}\n 450→\t\tnodes = append(nodes, &node)\n 451→\t}\n 452→\n 453→\tif err := rows.Err(); err != nil {\n 454→\t\treturn nil, err\n 455→\t}\n 456→\n 457→\treturn nodes, nil\n 458→}\n 459→\n 460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 462→func (r *NodeRepository) QueryNodesWithMeta(\n 463→\tctx context.Context,\n 464→\tfilters []*model.NodeFilter,\n 465→\tpage *model.PageRequest,\n 466→\torder *model.OrderByInput, // Currently unused!\n 467→) ([]*schema.Node, error) {\n 468→\tquery, qerr := AccessCheck(ctx,\n 469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 472→\t\t\tFrom(\"node\").\n 473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 474→\t\t\tWhere(latestStateCondition()))\n 475→\tif qerr != nil {\n 476→\t\treturn nil, qerr\n 477→\t}\n 478→\n 479→\tquery = applyNodeFilters(query, filters)\n 480→\tquery = query.OrderBy(\"node.hostname ASC\")\n 481→\n 482→\tif page != nil && page.ItemsPerPage != -1 {\n 483→\t\tlimit := uint64(page.ItemsPerPage)\n 484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 485→\t}\n 486→\n 487→\trows, err := query.RunWith(r.stmtCache).Query()\n 488→\tif err != nil {\n 489→\t\tqueryString, queryVars, _ := query.ToSql()\n 490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 491→\t\treturn nil, err\n 492→\t}\n 493→\tdefer rows.Close()\n 494→\n 495→\tnodes := make([]*schema.Node, 0)\n 496→\tfor rows.Next() {\n 497→\t\tnode := schema.Node{}\n 498→\t\tRawMetaData := make([]byte, 0)\n 499→\t\tRawMetricHealth := make([]byte, 0)\n 500→\n 501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 504→\t\t\treturn nil, err\n 505→\t\t}\n 506→\n 507→\t\tif len(RawMetaData) == 0 {\n 508→\t\t\tnode.MetaData = nil\n 509→\t\t} else {\n 510→\t\t\tmetaData := make(map[string]string)\n 511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 513→\t\t\t\treturn nil, err\n 514→\t\t\t}\n 515→\t\t\tnode.MetaData = metaData\n 516→\t\t}\n 517→\n 518→\t\tif len(RawMetricHealth) == 0 {\n 519→\t\t\tnode.HealthData = nil\n 520→\t\t} else {\n 521→\t\t\thealthData := make(map[string][]string)\n 522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 524→\t\t\t\treturn nil, err\n 525→\t\t\t}\n 526→\t\t\tnode.HealthData = healthData\n 527→\t\t}\n 528→\n 529→\t\tnodes = append(nodes, &node)\n 530→\t}\n 531→\n 532→\tif err := rows.Err(); err != nil {\n 533→\t\treturn nil, err\n 534→\t}\n 535→\n 536→\treturn nodes, nil\n 537→}\n 538→\n 539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 540→// on the last state (largest timestamp) per node.\n 541→func (r *NodeRepository) CountNodes(\n 542→\tctx context.Context,\n 543→\tfilters []*model.NodeFilter,\n 544→) (int, error) {\n 545→\tquery, qerr := AccessCheck(ctx,\n 546→\t\tsq.Select(\"COUNT(*)\").\n 547→\t\t\tFrom(\"node\").\n 548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 549→\t\t\tWhere(latestStateCondition()))\n 550→\tif qerr != nil {\n 551→\t\treturn 0, qerr\n 552→\t}\n 553→\n 554→\tquery = applyNodeFilters(query, filters)\n 555→\n 556→\tvar count int\n 557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 558→\t\tqueryString, queryVars, _ := query.ToSql()\n 559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 560→\t\treturn 0, err\n 561→\t}\n 562→\n 563→\treturn count, nil\n 564→}\n 565→\n 566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 569→\t\tFrom(\"node\").\n 570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 571→\t\tWhere(latestStateCondition()).\n 572→\t\tWhere(\"node.cluster = ?\", cluster).\n 573→\t\tOrderBy(\"node.hostname ASC\")\n 574→\n 575→\trows, err := q.RunWith(r.DB).Query()\n 576→\tif err != nil {\n 577→\t\tcclog.Warn(\"Error while querying node list\")\n 578→\t\treturn nil, err\n 579→\t}\n 580→\tnodeList := make([]*schema.Node, 0, 100)\n 581→\tdefer rows.Close()\n 582→\tfor rows.Next() {\n 583→\t\tnode := &schema.Node{}\n 584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 587→\t\t\treturn nil, err\n 588→\t\t}\n 589→\n 590→\t\tnodeList = append(nodeList, node)\n 591→\t}\n 592→\n 593→\treturn nodeList, nil\n 594→}\n 595→\n 596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 598→\t\tFrom(\"node\").\n 599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 600→\t\tWhere(latestStateCondition()).\n 601→\t\tWhere(\"node.cluster = ?\", cluster).\n 602→\t\tOrderBy(\"node.hostname ASC\")\n 603→\n 604→\trows, err := q.RunWith(r.DB).Query()\n 605→\tif err != nil {\n 606→\t\tcclog.Warn(\"Error while querying node list\")\n 607→\t\treturn nil, err\n 608→\t}\n 609→\n 610→\tstateMap := make(map[string]string)\n 611→\tdefer rows.Close()\n 612→\tfor rows.Next() {\n 613→\t\tvar hostname, nodestate string\n 614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 616→\t\t\treturn nil, err\n 617→\t\t}\n 618→\n 619→\t\tstateMap[hostname] = nodestate\n 620→\t}\n 621→\n 622→\treturn stateMap, nil\n 623→}\n 624→\n 625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 626→\tquery, qerr := AccessCheck(ctx,\n 627→\t\tsq.Select(column, \"COUNT(*) as count\").\n 628→\t\t\tFrom(\"node\").\n 629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 630→\t\t\tWhere(latestStateCondition()).\n 631→\t\t\tGroupBy(column))\n 632→\tif qerr != nil {\n 633→\t\treturn nil, qerr\n 634→\t}\n 635→\n 636→\tquery = applyNodeFilters(query, filters)\n 637→\n 638→\trows, err := query.RunWith(r.stmtCache).Query()\n 639→\tif err != nil {\n 640→\t\tqueryString, queryVars, _ := query.ToSql()\n 641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 642→\t\treturn nil, err\n 643→\t}\n 644→\tdefer rows.Close()\n 645→\n 646→\tnodes := make([]*model.NodeStates, 0)\n 647→\tfor rows.Next() {\n 648→\t\tvar state string\n 649→\t\tvar count int\n 650→\t\tif err := rows.Scan(&state, &count); err != nil {\n 651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 652→\t\t\treturn nil, err\n 653→\t\t}\n 654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 655→\t}\n 656→\n 657→\tif err := rows.Err(); err != nil {\n 658→\t\treturn nil, err\n 659→\t}\n 660→\n 661→\treturn nodes, nil\n 662→}\n 663→\n 664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 666→\tif qerr != nil {\n 667→\t\treturn nil, qerr\n 668→\t}\n 669→\n 670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 671→\n 672→\tfor _, f := range filters {\n 673→\t\t// Required\n 674→\t\tif f.TimeStart != nil {\n 675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 676→\t\t}\n 677→\t\t// Optional\n 678→\t\tif f.Hostname != nil {\n 679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 680→\t\t}\n 681→\t\tif f.Cluster != nil {\n 682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 683→\t\t}\n 684→\t\tif f.SubCluster != nil {\n 685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 686→\t\t}\n 687→\t\tif f.SchedulerState != nil {\n 688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 689→\t\t}\n 690→\t\tif f.HealthState != nil {\n 691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 692→\t\t}\n 693→\t}\n 694→\n 695→\t// Add Group and Order\n 696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 697→\n 698→\trows, err := query.RunWith(r.stmtCache).Query()\n 699→\tif err != nil {\n 700→\t\tqueryString, queryVars, _ := query.ToSql()\n 701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 702→\t\treturn nil, err\n 703→\t}\n 704→\tdefer rows.Close()\n 705→\n 706→\trawData := make(map[string][][]int)\n 707→\tfor rows.Next() {\n 708→\t\tvar state string\n 709→\t\tvar timestamp, count int\n 710→\n 711→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 713→\t\t\treturn nil, err\n 714→\t\t}\n 715→\n 716→\t\tif rawData[state] == nil {\n 717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 718→\t\t}\n 719→\n 720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 721→\t\trawData[state][1] = append(rawData[state][1], count)\n 722→\t}\n 723→\n 724→\tif err := rows.Err(); err != nil {\n 725→\t\treturn nil, err\n 726→\t}\n 727→\n 728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 729→\tfor state, data := range rawData {\n 730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 731→\t\ttimedStates = append(timedStates, &entry)\n 732→\t}\n 733→\n 734→\treturn timedStates, nil\n 735→}\n 736→\n 737→func (r *NodeRepository) GetNodesForList(\n 738→\tctx context.Context,\n 739→\tcluster string,\n 740→\tsubCluster string,\n 741→\tstateFilter string,\n 742→\tnodeFilter string,\n 743→\tpage *model.PageRequest,\n 744→) ([]string, map[string]string, int, bool, error) {\n 745→\t// Init Return Vars\n 746→\tnodes := make([]string, 0)\n 747→\tstateMap := make(map[string]string)\n 748→\tcountNodes := 0\n 749→\thasNextPage := false\n 750→\n 751→\t// Build Filters\n 752→\tqueryFilters := make([]*model.NodeFilter, 0)\n 753→\tif cluster != \"\" {\n 754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 755→\t}\n 756→\tif subCluster != \"\" {\n 757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 758→\t}\n 759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 761→\t}\n 762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 763→\t\tqueryState := schema.SchedulerState(stateFilter)\n 764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 765→\t}\n 766→\t// if healthFilter != \"all\" {\n 767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 768→\t// }\n 769→\n 770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 771→\tvar backupItems int\n 772→\tif stateFilter == \"notindb\" {\n 773→\t\tbackupItems = page.ItemsPerPage\n 774→\t\tpage.ItemsPerPage = -1\n 775→\t}\n 776→\n 777→\t// Query Nodes From DB\n 778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 779→\tif serr != nil {\n 780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 781→\t\treturn nil, nil, 0, false, serr\n 782→\t}\n 783→\n 784→\t// Intermediate Node Result Info\n 785→\tfor _, node := range rawNodes {\n 786→\t\tif node == nil {\n 787→\t\t\tcontinue\n 788→\t\t}\n 789→\t\tnodes = append(nodes, node.Hostname)\n 790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 791→\t}\n 792→\n 793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 794→\tif stateFilter == \"notindb\" {\n 795→\t\t// Reapply Original Paging\n 796→\t\tpage.ItemsPerPage = backupItems\n 797→\t\t// Get Nodes From Topology\n 798→\t\tvar topoNodes []string\n 799→\t\tif subCluster != \"\" {\n 800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 801→\t\t\ttopoNodes = scNodes.PrintList()\n 802→\t\t} else {\n 803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 806→\t\t\t}\n 807→\t\t}\n 808→\t\t// Compare to all nodes from cluster/subcluster in DB\n 809→\t\tvar missingNodes []string\n 810→\t\tfor _, scanNode := range topoNodes {\n 811→\t\t\tif !slices.Contains(nodes, scanNode) {\n 812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 813→\t\t\t}\n 814→\t\t}\n 815→\t\t// Filter nodes by name\n 816→\t\tif nodeFilter != \"\" {\n 817→\t\t\tfilteredNodesByName := []string{}\n 818→\t\t\tfor _, missingNode := range missingNodes {\n 819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 821→\t\t\t\t}\n 822→\t\t\t}\n 823→\t\t\tmissingNodes = filteredNodesByName\n 824→\t\t}\n 825→\t\t// Sort Missing Nodes Alphanumerically\n 826→\t\tslices.Sort(missingNodes)\n 827→\t\t// Total Missing\n 828→\t\tcountNodes = len(missingNodes)\n 829→\t\t// Apply paging\n 830→\t\tif countNodes > page.ItemsPerPage {\n 831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 832→\t\t\tend := start + page.ItemsPerPage\n 833→\t\t\tif end > countNodes {\n 834→\t\t\t\tend = countNodes\n 835→\t\t\t\thasNextPage = false\n 836→\t\t\t} else {\n 837→\t\t\t\thasNextPage = true\n 838→\t\t\t}\n 839→\t\t\tnodes = missingNodes[start:end]\n 840→\t\t} else {\n 841→\t\t\tnodes = missingNodes\n 842→\t\t}\n 843→\n 844→\t} else {\n 845→\t\t// DB Nodes: Count and derive hasNextPage from count\n 846→\t\tvar cerr error\n 847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 848→\t\tif cerr != nil {\n 849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 850→\t\t\treturn nil, nil, 0, false, cerr\n 851→\t\t}\n 852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 853→\t}\n 854→\n 855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 856→\tif stateFilter == \"all\" && countNodes == 0 {\n 857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 858→\t}\n 859→\n 860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 861→}\n 862→\n 863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 864→\tuser := GetUserFromContext(ctx)\n 865→\treturn AccessCheckWithUser(user, query)\n 866→}\n 867→\n 868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 869→\tif user == nil {\n 870→\t\tvar qnil sq.SelectBuilder\n 871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 872→\t}\n 873→\n 874→\tswitch {\n 875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 876→\t// \treturn query, nil\n 877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 878→\t\treturn query, nil\n 879→\tdefault: // No known Role: No Access, return error\n 880→\t\tvar qnil sq.SelectBuilder\n 881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 882→\t}\n 883→}\n 884→\n 885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 886→\t// 0) Init additional vars\n 887→\thasNextPage := false\n 888→\ttotalNodes := 0\n 889→\n 890→\t// 1) Get list of all nodes\n 891→\tvar topolNodes []string\n 892→\tif subCluster != \"\" {\n 893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 894→\t\ttopolNodes = scNodes.PrintList()\n 895→\t} else {\n 896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 897→\t\tfor _, nodeList := range subClusterNodeLists {\n 898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 899→\t\t}\n 900→\t}\n 901→\n 902→\t// 2) Filter nodes\n 903→\tif nodeFilter != \"\" {\n 904→\t\tfilteredNodes := []string{}\n 905→\t\tfor _, node := range topolNodes {\n 906→\t\t\tif strings.Contains(node, nodeFilter) {\n 907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 908→\t\t\t}\n 909→\t\t}\n 910→\t\ttopolNodes = filteredNodes\n 911→\t}\n 912→\n 913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 914→\ttotalNodes = len(topolNodes)\n 915→\tsort.Strings(topolNodes)\n 916→\n 917→\t// 3) Apply paging\n 918→\tif len(topolNodes) > page.ItemsPerPage {\n 919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 920→\t\tend := start + page.ItemsPerPage\n 921→\t\tif end >= len(topolNodes) {\n 922→\t\t\tend = len(topolNodes)\n 923→\t\t\thasNextPage = false\n 924→\t\t} else {\n 925→\t\t\thasNextPage = true\n 926→\t\t}\n 927→\t\ttopolNodes = topolNodes[start:end]\n 928→\t}\n 929→\n 930→\treturn topolNodes, totalNodes, hasNextPage\n 931→}\n 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+{"parentUuid":"c4883260-3fe4-4810-a8ea-65ebb0f39e06","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VtzMMiihoFFMDVYfu1hbBF","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package config implements the program configuration data structures, validation and parsing\n 7→package config\n 8→\n 9→import (\n 10→\t\"bytes\"\n 11→\t\"encoding/json\"\n 12→\t\"time\"\n 13→\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 16→)\n 17→\n 18→type ProgramConfig struct {\n 19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n 20→\tAddr string `json:\"addr\"`\n 21→\n 22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n 23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n 24→\n 25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n 26→\n 27→\t// Drop root permissions once .env was read and the port was taken.\n 28→\tUser string `json:\"user\"`\n 29→\tGroup string `json:\"group\"`\n 30→\n 31→\t// Disable authentication (for everything: API, Web-UI, ...)\n 32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n 33→\n 34→\t// If `embed-static-files` is true (default), the frontend files are directly\n 35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n 36→\t// it is false the files in `static-files` are served instead.\n 37→\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n 38→\tStaticFiles string `json:\"static-files\"`\n 39→\n 40→\t// Path to SQLite database file\n 41→\tDB string `json:\"db\"`\n 42→\n 43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n 44→\n 45→\t// Validate json input against schema\n 46→\tValidate bool `json:\"validate\"`\n 47→\n 48→\t// If 0 or empty, the session does not expire!\n 49→\tSessionMaxAge string `json:\"session-max-age\"`\n 50→\n 51→\t// If both those options are not empty, use HTTPS using those certificates.\n 52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n 53→\tHTTPSKeyFile string `json:\"https-key-file\"`\n 54→\n 55→\t// If not the empty string and `addr` does not end in \":80\",\n 56→\t// redirect every request incoming at port 80 to that url.\n 57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n 58→\n 59→\t// Where to store MachineState files\n 60→\tMachineStateDir string `json:\"machine-state-dir\"`\n 61→\n 62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n 63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n 64→\n 65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n 66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n 67→\n 68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n 69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n 70→\tEmissionConstant int `json:\"emission-constant\"`\n 71→\n 72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n 73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n 74→\n 75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n 76→\tSystemdUnit string `json:\"systemd-unit\"`\n 77→\n 78→\t// Node state retention configuration\n 79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n 80→\n 81→\t// Database tuning configuration\n 82→\tDbConfig *DbConfig `json:\"db-config\"`\n 83→}\n 84→\n 85→type DbConfig struct {\n 86→\tCacheSizeMB int `json:\"cache-size-mb\"`\n 87→\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n 88→\tMaxOpenConnections int `json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n 92→}\n 93→\n 94→type NodeStateRetention struct {\n 95→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 96→\tAge int `json:\"age\"` // hours, default 24\n 97→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 98→\tTargetPath string `json:\"target-path\"`\n 99→\tTargetEndpoint string `json:\"target-endpoint\"`\n 100→\tTargetBucket string `json:\"target-bucket\"`\n 101→\tTargetAccessKey string `json:\"target-access-key\"`\n 102→\tTargetSecretKey string `json:\"target-secret-key\"`\n 103→\tTargetRegion string `json:\"target-region\"`\n 104→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 105→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 106→}\n 107→\n 108→type ResampleConfig struct {\n 109→\t// Minimum number of points to trigger resampling of data\n 110→\tMinimumPoints int `json:\"minimum-points\"`\n 111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 112→\tResolutions []int `json:\"resolutions\"`\n 113→\t// Trigger next zoom level at less than this many visible datapoints\n 114→\tTrigger int `json:\"trigger\"`\n 115→}\n 116→\n 117→type NATSConfig struct {\n 118→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 119→\tSubjectNodeState string `json:\"subject-node-state\"`\n 120→\tJobConcurrency int `json:\"job-concurrency\"`\n 121→\tNodeConcurrency int `json:\"node-concurrency\"`\n 122→}\n 123→\n 124→type IntRange struct {\n 125→\tFrom int `json:\"from\"`\n 126→\tTo int `json:\"to\"`\n 127→}\n 128→\n 129→type TimeRange struct {\n 130→\tFrom *time.Time `json:\"from\"`\n 131→\tTo *time.Time `json:\"to\"`\n 132→\tRange string `json:\"range,omitempty\"`\n 133→}\n 134→\n 135→type FilterRanges struct {\n 136→\tDuration *IntRange `json:\"duration\"`\n 137→\tNumNodes *IntRange `json:\"num-nodes\"`\n 138→\tStartTime *TimeRange `json:\"start-time\"`\n 139→}\n 140→\n 141→var Keys ProgramConfig = ProgramConfig{\n 142→\tAddr: \"localhost:8080\",\n 143→\tEmbedStaticFiles: true,\n 144→\tDB: \"./var/job.db\",\n 145→\tSessionMaxAge: \"168h\",\n 146→\tStopJobsExceedingWalltime: 0,\n 147→\tShortRunningJobsDuration: 5 * 60,\n 148→}\n 149→\n 150→func Init(mainConfig json.RawMessage) {\n 151→\tValidate(configSchema, mainConfig)\n 152→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 153→\tdec.DisallowUnknownFields()\n 154→\tif err := dec.Decode(&Keys); err != nil {\n 155→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 156→\t}\n 157→\n 158→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 159→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 160→\t}\n 161→}\n 162→"}]},"uuid":"3fd7ecb9-17e4-4a4a-9a38-a03b1cb2176e","timestamp":"2026-03-16T10:57:18.231Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"3a871a63-6074-4d2f-a7d6-6272aaa50137","timestamp":"2026-03-16T10:57:18.334Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"3a871a63-6074-4d2f-a7d6-6272aaa50137","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:57:18.344Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GB62upJhAqo8N3gEKvpUbE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FudfjBJBewRWkUg7pS88GT","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":369,"cache_read_input_tokens":27239,"cache_creation":{"ephemeral_5m_input_tokens":369,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6e2vz5sBthoG3EUuAeF","uuid":"eec78280-ef81-4795-980d-b8934bf01875"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"6edbc8cb-4f9f-4630-9fb6-6da6c8ffd104","timestamp":"2026-03-16T10:57:18.344Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"6edbc8cb-4f9f-4630-9fb6-6da6c8ffd104","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FudfjBJBewRWkUg7pS88GT","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package api provides the REST API layer for ClusterCockpit.\n 7→// It handles HTTP requests for job management, user administration,\n 8→// cluster queries, node state updates, and metrics storage operations.\n 9→// The API supports both JWT token authentication and session-based authentication.\n 10→package api\n 11→\n 12→import (\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"io\"\n 16→\t\"net/http\"\n 17→\t\"os\"\n 18→\t\"path/filepath\"\n 19→\t\"strings\"\n 20→\t\"sync\"\n 21→\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 29→\t\"github.com/go-chi/chi/v5\"\n 30→)\n 31→\n 32→// @title ClusterCockpit REST API\n 33→// @version 1.0.0\n 34→// @description API for batch job control.\n 35→\n 36→// @contact.name ClusterCockpit Project\n 37→// @contact.url https://github.com/ClusterCockpit\n 38→// @contact.email support@clustercockpit.org\n 39→\n 40→// @license.name MIT License\n 41→// @license.url https://opensource.org/licenses/MIT\n 42→\n 43→// @host localhost:8080\n 44→\n 45→// @securityDefinitions.apikey ApiKeyAuth\n 46→// @in header\n 47→// @name X-Auth-Token\n 48→\n 49→const (\n 50→\tnoticeFilePath = \"./var/notice.txt\"\n 51→\tnoticeFilePerms = 0o644\n 52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n 53→)\n 54→\n 55→type RestAPI struct {\n 56→\tJobRepository *repository.JobRepository\n 57→\tAuthentication *auth.Authentication\n 58→\tMachineStateDir string\n 59→\t// RepositoryMutex protects job creation operations from race conditions\n 60→\t// when checking for duplicate jobs during startJob API calls.\n 61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n 62→\t// from creating duplicate entries in the database.\n 63→\tRepositoryMutex sync.Mutex\n 64→}\n 65→\n 66→// New creates and initializes a new RestAPI instance with configured dependencies.\n 67→func New() *RestAPI {\n 68→\treturn &RestAPI{\n 69→\t\tJobRepository: repository.GetJobRepository(),\n 70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n 71→\t\tAuthentication: auth.GetAuthInstance(),\n 72→\t}\n 73→}\n 74→\n 75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n 76→// These routes use JWT token authentication via the X-Auth-Token header.\n 77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n 78→\t// REST API Uses TokenAuth\n 79→\t// User List\n 80→\tr.Get(\"/users/\", api.getUsers)\n 81→\t// Cluster List\n 82→\tr.Get(\"/clusters/\", api.getClusters)\n 83→\t// Slurm node state\n 84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n 85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n 86→\t// Job Handler\n 87→\tif config.Keys.APISubjects == nil {\n 88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n 89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n 90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n 91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n 92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n 93→\t}\n 94→\tr.Get(\"/jobs/\", api.getJobs)\n 95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n 96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n 97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n 98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n 99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n 100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)"}]},"uuid":"5a932477-788a-44ea-a542-492ab270bdb1","timestamp":"2026-03-16T10:57:18.346Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"9624a4bb-2ebb-4668-927e-236919cc5140","timestamp":"2026-03-16T10:57:18.356Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"9624a4bb-2ebb-4668-927e-236919cc5140","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:57:19.997Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3pzS2N2d3Hkoc6RZNkqAk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DJ6neowjdnB1wv2DgQSoTp","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6944,"cache_read_input_tokens":27239,"cache_creation":{"ephemeral_5m_input_tokens":6944,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6e35pA6QPAaYuciA8jh","uuid":"4ba00ddf-f96b-44f5-a36c-940d02b71c07"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"b2ef9289-5ef3-4bf3-96ee-e3ef682d436e","timestamp":"2026-03-16T10:57:19.997Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"b2ef9289-5ef3-4bf3-96ee-e3ef682d436e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DJ6neowjdnB1wv2DgQSoTp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package api\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"testing\"\n 15→\t\"time\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 24→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\n 29→\t_ \"github.com/mattn/go-sqlite3\"\n 30→)\n 31→\n 32→func setupNatsTest(t *testing.T) *NatsAPI {\n 33→\trepository.ResetConnection()\n 34→\n 35→\tconst testconfig = `{\n 36→\t\t\"main\": {\n 37→\t\"addr\": \"0.0.0.0:8080\",\n 38→\t\"validate\": false,\n 39→ \"api-allowed-ips\": [\n 40→ \"*\"\n 41→ ]\n 42→\t},\n 43→\t\"archive\": {\n 44→\t\t\"kind\": \"file\",\n 45→\t\t\"path\": \"./var/job-archive\"\n 46→\t},\n 47→\t\"auth\": {\n 48→ \"jwts\": {\n 49→ \"max-age\": \"2m\"\n 50→ }\n 51→\t}\n 52→}`\n 53→\tconst testclusterJSON = `{\n 54→ \"name\": \"testcluster\",\n 55→\t\t\"subClusters\": [\n 56→\t\t\t{\n 57→\t\t\t\t\"name\": \"sc1\",\n 58→\t\t\t\t\"nodes\": \"host123,host124,host125\",\n 59→\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n 60→\t\t\t\t\"socketsPerNode\": 1,\n 61→\t\t\t\t\"coresPerSocket\": 4,\n 62→\t\t\t\t\"threadsPerCore\": 2,\n 63→ \"flopRateScalar\": {\n 64→ \"unit\": {\n 65→ \"prefix\": \"G\",\n 66→ \"base\": \"F/s\"\n 67→ },\n 68→ \"value\": 14\n 69→ },\n 70→ \"flopRateSimd\": {\n 71→ \"unit\": {\n 72→ \"prefix\": \"G\",\n 73→ \"base\": \"F/s\"\n 74→ },\n 75→ \"value\": 112\n 76→ },\n 77→ \"memoryBandwidth\": {\n 78→ \"unit\": {\n 79→ \"prefix\": \"G\",\n 80→ \"base\": \"B/s\"\n 81→ },\n 82→ \"value\": 24\n 83→ },\n 84→ \"numberOfNodes\": 70,\n 85→\t\t\t\t\"topology\": {\n 86→\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n 87→\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 88→\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 89→\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 90→\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n 91→\t\t\t\t}\n 92→\t\t\t}\n 93→\t\t],\n 94→\t\t\"metricConfig\": [\n 95→\t\t\t{\n 96→\t\t\t\t\"name\": \"load_one\",\n 97→\t\t\t \"unit\": { \"base\": \"\"},\n 98→\t\t\t\t\"scope\": \"node\",\n 99→\t\t\t\t\"timestep\": 60,\n 100→ \"aggregation\": \"avg\",\n 101→\t\t\t\t\"peak\": 8,\n 102→\t\t\t\t\"normal\": 0,\n 103→\t\t\t\t\"caution\": 0,\n 104→\t\t\t\t\"alert\": 0\n 105→\t\t\t}\n 106→\t\t]\n 107→\t}`\n 108→\n 109→\tcclog.Init(\"info\", true)\n 110→\ttmpdir := t.TempDir()\n 111→\tjobarchive := filepath.Join(tmpdir, \"job-archive\")\n 112→\tif err := os.Mkdir(jobarchive, 0o777); err != nil {\n 113→\t\tt.Fatal(err)\n 114→\t}\n 115→\n 116→\tif err := os.WriteFile(filepath.Join(jobarchive, \"version.txt\"), fmt.Appendf(nil, \"%d\", 3), 0o666); err != nil {\n 117→\t\tt.Fatal(err)\n 118→\t}\n 119→\n 120→\tif err := os.Mkdir(filepath.Join(jobarchive, \"testcluster\"), 0o777); err != nil {\n 121→\t\tt.Fatal(err)\n 122→\t}\n 123→\n 124→\tif err := os.WriteFile(filepath.Join(jobarchive, \"testcluster\", \"cluster.json\"), []byte(testclusterJSON), 0o666); err != nil {\n 125→\t\tt.Fatal(err)\n 126→\t}\n 127→\n 128→\tdbfilepath := filepath.Join(tmpdir, \"test.db\")\n 129→\terr := repository.MigrateDB(dbfilepath)\n 130→\tif err != nil {\n 131→\t\tt.Fatal(err)\n 132→\t}\n 133→\n 134→\tcfgFilePath := filepath.Join(tmpdir, \"config.json\")\n 135→\tif err := os.WriteFile(cfgFilePath, []byte(testconfig), 0o666); err != nil {\n 136→\t\tt.Fatal(err)\n 137→\t}\n 138→\n 139→\tccconf.Init(cfgFilePath)\n 140→\n 141→\t// Load and check main configuration\n 142→\tif cfg := ccconf.GetPackageConfig(\"main\"); cfg != nil {\n 143→\t\tconfig.Init(cfg)\n 144→\t} else {\n 145→\t\tcclog.Abort(\"Main configuration must be present\")\n 146→\t}\n 147→\tarchiveCfg := fmt.Sprintf(\"{\\\"kind\\\": \\\"file\\\",\\\"path\\\": \\\"%s\\\"}\", jobarchive)\n 148→\n 149→\trepository.Connect(dbfilepath)\n 150→\n 151→\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\n 152→\t\tt.Fatal(err)\n 153→\t}\n 154→\n 155→\t// metricstore initialization removed - it's initialized via callback in tests\n 156→\n 157→\tarchiver.Start(repository.GetJobRepository(), context.Background())\n 158→\n 159→\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n 160→\t\tauth.Init(&cfg)\n 161→\t} else {\n 162→\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n 163→\t\tauth.Init(nil)\n 164→\t}\n 165→\n 166→\tgraph.Init()\n 167→\n 168→\treturn NewNatsAPI()\n 169→}\n 170→\n 171→func cleanupNatsTest() {\n 172→\tif err := archiver.Shutdown(5 * time.Second); err != nil {\n 173→\t\tcclog.Warnf(\"Archiver shutdown timeout in tests: %v\", err)\n 174→\t}\n 175→}\n 176→\n 177→func TestNatsHandleStartJob(t *testing.T) {\n 178→\tnatsAPI := setupNatsTest(t)\n 179→\tt.Cleanup(cleanupNatsTest)\n 180→\n 181→\ttests := []struct {\n 182→\t\tname string\n 183→\t\tpayload string\n 184→\t\texpectError bool\n 185→\t\tvalidateJob func(t *testing.T, job *schema.Job)\n 186→\t\tshouldFindJob bool\n 187→\t}{\n 188→\t\t{\n 189→\t\t\tname: \"valid job start\",\n 190→\t\t\tpayload: `{\n 191→\t\t\t\t\"jobId\": 1001,\n 192→\t\t\t\t\"user\": \"testuser1\",\n 193→\t\t\t\t\"project\": \"testproj1\",\n 194→\t\t\t\t\"cluster\": \"testcluster\",\n 195→\t\t\t\t\"partition\": \"main\",\n 196→\t\t\t\t\"walltime\": 7200,\n 197→\t\t\t\t\"numNodes\": 1,\n 198→\t\t\t\t\"numHwthreads\": 8,\n 199→\t\t\t\t\"numAcc\": 0,\n 200→\t\t\t\t\"shared\": \"none\",\n 201→\t\t\t\t\"monitoringStatus\": 1,\n 202→\t\t\t\t\"smt\": 1,\n 203→\t\t\t\t\"resources\": [\n 204→\t\t\t\t\t{\n 205→\t\t\t\t\t\t\"hostname\": \"host123\",\n 206→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n 207→\t\t\t\t\t}\n 208→\t\t\t\t],\n 209→\t\t\t\t\"startTime\": 1234567890\n 210→\t\t\t}`,\n 211→\t\t\texpectError: false,\n 212→\t\t\tshouldFindJob: true,\n 213→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 214→\t\t\t\tif job.JobID != 1001 {\n 215→\t\t\t\t\tt.Errorf(\"expected JobID 1001, got %d\", job.JobID)\n 216→\t\t\t\t}\n 217→\t\t\t\tif job.User != \"testuser1\" {\n 218→\t\t\t\t\tt.Errorf(\"expected user testuser1, got %s\", job.User)\n 219→\t\t\t\t}\n 220→\t\t\t\tif job.State != schema.JobStateRunning {\n 221→\t\t\t\t\tt.Errorf(\"expected state running, got %s\", job.State)\n 222→\t\t\t\t}\n 223→\t\t\t},\n 224→\t\t},\n 225→\t\t{\n 226→\t\t\tname: \"invalid JSON\",\n 227→\t\t\tpayload: `{\n 228→\t\t\t\t\"jobId\": \"not a number\",\n 229→\t\t\t\t\"user\": \"testuser2\"\n 230→\t\t\t}`,\n 231→\t\t\texpectError: true,\n 232→\t\t\tshouldFindJob: false,\n 233→\t\t},\n 234→\t\t{\n 235→\t\t\tname: \"missing required fields\",\n 236→\t\t\tpayload: `{\n 237→\t\t\t\t\"jobId\": 1002\n 238→\t\t\t}`,\n 239→\t\t\texpectError: true,\n 240→\t\t\tshouldFindJob: false,\n 241→\t\t},\n 242→\t\t{\n 243→\t\t\tname: \"job with unknown fields (should fail due to DisallowUnknownFields)\",\n 244→\t\t\tpayload: `{\n 245→\t\t\t\t\"jobId\": 1003,\n 246→\t\t\t\t\"user\": \"testuser3\",\n 247→\t\t\t\t\"project\": \"testproj3\",\n 248→\t\t\t\t\"cluster\": \"testcluster\",\n 249→\t\t\t\t\"partition\": \"main\",\n 250→\t\t\t\t\"walltime\": 3600,\n 251→\t\t\t\t\"numNodes\": 1,\n 252→\t\t\t\t\"numHwthreads\": 8,\n 253→\t\t\t\t\"unknownField\": \"should cause error\",\n 254→\t\t\t\t\"startTime\": 1234567900\n 255→\t\t\t}`,\n 256→\t\t\texpectError: true,\n 257→\t\t\tshouldFindJob: false,\n 258→\t\t},\n 259→\t\t{\n 260→\t\t\tname: \"job with tags\",\n 261→\t\t\tpayload: `{\n 262→\t\t\t\t\"jobId\": 1004,\n 263→\t\t\t\t\"user\": \"testuser4\",\n 264→\t\t\t\t\"project\": \"testproj4\",\n 265→\t\t\t\t\"cluster\": \"testcluster\",\n 266→\t\t\t\t\"partition\": \"main\",\n 267→\t\t\t\t\"walltime\": 3600,\n 268→\t\t\t\t\"numNodes\": 1,\n 269→\t\t\t\t\"numHwthreads\": 8,\n 270→\t\t\t\t\"numAcc\": 0,\n 271→\t\t\t\t\"shared\": \"none\",\n 272→\t\t\t\t\"monitoringStatus\": 1,\n 273→\t\t\t\t\"smt\": 1,\n 274→\t\t\t\t\"resources\": [\n 275→\t\t\t\t\t{\n 276→\t\t\t\t\t\t\"hostname\": \"host123\",\n 277→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 278→\t\t\t\t\t}\n 279→\t\t\t\t],\n 280→\t\t\t\t\"tags\": [\n 281→\t\t\t\t\t{\n 282→\t\t\t\t\t\t\"type\": \"test\",\n 283→\t\t\t\t\t\t\"name\": \"testtag\",\n 284→\t\t\t\t\t\t\"scope\": \"testuser4\"\n 285→\t\t\t\t\t}\n 286→\t\t\t\t],\n 287→\t\t\t\t\"startTime\": 1234567910\n 288→\t\t\t}`,\n 289→\t\t\texpectError: false,\n 290→\t\t\tshouldFindJob: true,\n 291→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 292→\t\t\t\tif job.JobID != 1004 {\n 293→\t\t\t\t\tt.Errorf(\"expected JobID 1004, got %d\", job.JobID)\n 294→\t\t\t\t}\n 295→\t\t\t},\n 296→\t\t},\n 297→\t}\n 298→\n 299→\tfor _, tt := range tests {\n 300→\t\tt.Run(tt.name, func(t *testing.T) {\n 301→\t\t\tnatsAPI.handleStartJob(tt.payload)\n 302→\t\t\tnatsAPI.JobRepository.SyncJobs()\n 303→\n 304→\t\t\t// Allow some time for async operations\n 305→\t\t\ttime.Sleep(100 * time.Millisecond)\n 306→\n 307→\t\t\tif tt.shouldFindJob {\n 308→\t\t\t\t// Extract jobId from payload\n 309→\t\t\t\tvar payloadMap map[string]any\n 310→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n 311→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n 312→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n 313→\t\t\t\tstartTime := int64(payloadMap[\"startTime\"].(float64))\n 314→\n 315→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, &startTime)\n 316→\t\t\t\tif err != nil {\n 317→\t\t\t\t\tif !tt.expectError {\n 318→\t\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n 319→\t\t\t\t\t}\n 320→\t\t\t\t\treturn\n 321→\t\t\t\t}\n 322→\n 323→\t\t\t\tif tt.validateJob != nil {\n 324→\t\t\t\t\ttt.validateJob(t, job)\n 325→\t\t\t\t}\n 326→\t\t\t}\n 327→\t\t})\n 328→\t}\n 329→}\n 330→\n 331→func TestNatsHandleStopJob(t *testing.T) {\n 332→\tnatsAPI := setupNatsTest(t)\n 333→\tt.Cleanup(cleanupNatsTest)\n 334→\n 335→\t// First, create a running job\n 336→\tstartPayload := `{\n 337→\t\t\"jobId\": 2001,\n 338→\t\t\"user\": \"testuser\",\n 339→\t\t\"project\": \"testproj\",\n 340→\t\t\"cluster\": \"testcluster\",\n 341→\t\t\"partition\": \"main\",\n 342→\t\t\"walltime\": 3600,\n 343→\t\t\"numNodes\": 1,\n 344→\t\t\"numHwthreads\": 8,\n 345→\t\t\"numAcc\": 0,\n 346→\t\t\"shared\": \"none\",\n 347→\t\t\"monitoringStatus\": 1,\n 348→\t\t\"smt\": 1,\n 349→\t\t\"resources\": [\n 350→\t\t\t{\n 351→\t\t\t\t\"hostname\": \"host123\",\n 352→\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n 353→\t\t\t}\n 354→\t\t],\n 355→\t\t\"startTime\": 1234567890\n 356→\t}`\n 357→\n 358→\tnatsAPI.handleStartJob(startPayload)\n 359→\tnatsAPI.JobRepository.SyncJobs()\n 360→\ttime.Sleep(100 * time.Millisecond)\n 361→\n 362→\ttests := []struct {\n 363→\t\tname string\n 364→\t\tpayload string\n 365→\t\texpectError bool\n 366→\t\tvalidateJob func(t *testing.T, job *schema.Job)\n 367→\t\tsetupJobFunc func() // Optional: create specific test job\n 368→\t}{\n 369→\t\t{\n 370→\t\t\tname: \"valid job stop - completed\",\n 371→\t\t\tpayload: `{\n 372→\t\t\t\t\"jobId\": 2001,\n 373→\t\t\t\t\"cluster\": \"testcluster\",\n 374→\t\t\t\t\"startTime\": 1234567890,\n 375→\t\t\t\t\"jobState\": \"completed\",\n 376→\t\t\t\t\"stopTime\": 1234571490\n 377→\t\t\t}`,\n 378→\t\t\texpectError: false,\n 379→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 380→\t\t\t\tif job.State != schema.JobStateCompleted {\n 381→\t\t\t\t\tt.Errorf(\"expected state completed, got %s\", job.State)\n 382→\t\t\t\t}\n 383→\t\t\t\texpectedDuration := int32(1234571490 - 1234567890)\n 384→\t\t\t\tif job.Duration != expectedDuration {\n 385→\t\t\t\t\tt.Errorf(\"expected duration %d, got %d\", expectedDuration, job.Duration)\n 386→\t\t\t\t}\n 387→\t\t\t},\n 388→\t\t},\n 389→\t\t{\n 390→\t\t\tname: \"valid job stop - failed\",\n 391→\t\t\tsetupJobFunc: func() {\n 392→\t\t\t\tstartPayloadFailed := `{\n 393→\t\t\t\t\t\"jobId\": 2002,\n 394→\t\t\t\t\t\"user\": \"testuser\",\n 395→\t\t\t\t\t\"project\": \"testproj\",\n 396→\t\t\t\t\t\"cluster\": \"testcluster\",\n 397→\t\t\t\t\t\"partition\": \"main\",\n 398→\t\t\t\t\t\"walltime\": 3600,\n 399→\t\t\t\t\t\"numNodes\": 1,\n 400→\t\t\t\t\t\"numHwthreads\": 8,\n 401→\t\t\t\t\t\"numAcc\": 0,\n 402→\t\t\t\t\t\"shared\": \"none\",\n 403→\t\t\t\t\t\"monitoringStatus\": 1,\n 404→\t\t\t\t\t\"smt\": 1,\n 405→\t\t\t\t\t\"resources\": [\n 406→\t\t\t\t\t\t{\n 407→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n 408→\t\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 409→\t\t\t\t\t\t}\n 410→\t\t\t\t\t],\n 411→\t\t\t\t\t\"startTime\": 1234567900\n 412→\t\t\t\t}`\n 413→\t\t\t\tnatsAPI.handleStartJob(startPayloadFailed)\n 414→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n 415→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n 416→\t\t\t},\n 417→\t\t\tpayload: `{\n 418→\t\t\t\t\"jobId\": 2002,\n 419→\t\t\t\t\"cluster\": \"testcluster\",\n 420→\t\t\t\t\"startTime\": 1234567900,\n 421→\t\t\t\t\"jobState\": \"failed\",\n 422→\t\t\t\t\"stopTime\": 1234569900\n 423→\t\t\t}`,\n 424→\t\t\texpectError: false,\n 425→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 426→\t\t\t\tif job.State != schema.JobStateFailed {\n 427→\t\t\t\t\tt.Errorf(\"expected state failed, got %s\", job.State)\n 428→\t\t\t\t}\n 429→\t\t\t},\n 430→\t\t},\n 431→\t\t{\n 432→\t\t\tname: \"invalid JSON\",\n 433→\t\t\tpayload: `{\n 434→\t\t\t\t\"jobId\": \"not a number\"\n 435→\t\t\t}`,\n 436→\t\t\texpectError: true,\n 437→\t\t},\n 438→\t\t{\n 439→\t\t\tname: \"missing jobId\",\n 440→\t\t\tpayload: `{\n 441→\t\t\t\t\"cluster\": \"testcluster\",\n 442→\t\t\t\t\"jobState\": \"completed\",\n 443→\t\t\t\t\"stopTime\": 1234571490\n 444→\t\t\t}`,\n 445→\t\t\texpectError: true,\n 446→\t\t},\n 447→\t\t{\n 448→\t\t\tname: \"invalid job state\",\n 449→\t\t\tsetupJobFunc: func() {\n 450→\t\t\t\tstartPayloadInvalid := `{\n 451→\t\t\t\t\t\"jobId\": 2003,\n 452→\t\t\t\t\t\"user\": \"testuser\",\n 453→\t\t\t\t\t\"project\": \"testproj\",\n 454→\t\t\t\t\t\"cluster\": \"testcluster\",\n 455→\t\t\t\t\t\"partition\": \"main\",\n 456→\t\t\t\t\t\"walltime\": 3600,\n 457→\t\t\t\t\t\"numNodes\": 1,\n 458→\t\t\t\t\t\"numHwthreads\": 8,\n 459→\t\t\t\t\t\"numAcc\": 0,\n 460→\t\t\t\t\t\"shared\": \"none\",\n 461→\t\t\t\t\t\"monitoringStatus\": 1,\n 462→\t\t\t\t\t\"smt\": 1,\n 463→\t\t\t\t\t\"resources\": [\n 464→\t\t\t\t\t\t{\n 465→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n 466→\t\t\t\t\t\t\t\"hwthreads\": [0, 1]\n 467→\t\t\t\t\t\t}\n 468→\t\t\t\t\t],\n 469→\t\t\t\t\t\"startTime\": 1234567910\n 470→\t\t\t\t}`\n 471→\t\t\t\tnatsAPI.handleStartJob(startPayloadInvalid)\n 472→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n 473→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n 474→\t\t\t},\n 475→\t\t\tpayload: `{\n 476→\t\t\t\t\"jobId\": 2003,\n 477→\t\t\t\t\"cluster\": \"testcluster\",\n 478→\t\t\t\t\"startTime\": 1234567910,\n 479→\t\t\t\t\"jobState\": \"invalid_state\",\n 480→\t\t\t\t\"stopTime\": 1234571510\n 481→\t\t\t}`,\n 482→\t\t\texpectError: true,\n 483→\t\t},\n 484→\t\t{\n 485→\t\t\tname: \"stopTime before startTime\",\n 486→\t\t\tsetupJobFunc: func() {\n 487→\t\t\t\tstartPayloadTime := `{\n 488→\t\t\t\t\t\"jobId\": 2004,\n 489→\t\t\t\t\t\"user\": \"testuser\",\n 490→\t\t\t\t\t\"project\": \"testproj\",\n 491→\t\t\t\t\t\"cluster\": \"testcluster\",\n 492→\t\t\t\t\t\"partition\": \"main\",\n 493→\t\t\t\t\t\"walltime\": 3600,\n 494→\t\t\t\t\t\"numNodes\": 1,\n 495→\t\t\t\t\t\"numHwthreads\": 8,\n 496→\t\t\t\t\t\"numAcc\": 0,\n 497→\t\t\t\t\t\"shared\": \"none\",\n 498→\t\t\t\t\t\"monitoringStatus\": 1,\n 499→\t\t\t\t\t\"smt\": 1,\n 500→\t\t\t\t\t\"resources\": [\n 501→\t\t\t\t\t\t{\n 502→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n 503→\t\t\t\t\t\t\t\"hwthreads\": [0]\n 504→\t\t\t\t\t\t}\n 505→\t\t\t\t\t],\n 506→\t\t\t\t\t\"startTime\": 1234567920\n 507→\t\t\t\t}`\n 508→\t\t\t\tnatsAPI.handleStartJob(startPayloadTime)\n 509→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n 510→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n 511→\t\t\t},\n 512→\t\t\tpayload: `{\n 513→\t\t\t\t\"jobId\": 2004,\n 514→\t\t\t\t\"cluster\": \"testcluster\",\n 515→\t\t\t\t\"startTime\": 1234567920,\n 516→\t\t\t\t\"jobState\": \"completed\",\n 517→\t\t\t\t\"stopTime\": 1234567900\n 518→\t\t\t}`,\n 519→\t\t\texpectError: true,\n 520→\t\t},\n 521→\t\t{\n 522→\t\t\tname: \"job not found\",\n 523→\t\t\tpayload: `{\n 524→\t\t\t\t\"jobId\": 99999,\n 525→\t\t\t\t\"cluster\": \"testcluster\",\n 526→\t\t\t\t\"startTime\": 1234567890,\n 527→\t\t\t\t\"jobState\": \"completed\",\n 528→\t\t\t\t\"stopTime\": 1234571490\n 529→\t\t\t}`,\n 530→\t\t\texpectError: true,\n 531→\t\t},\n 532→\t}\n 533→\n 534→\ttestData := schema.JobData{\n 535→\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n 536→\t\t\tschema.MetricScopeNode: {\n 537→\t\t\t\tUnit: schema.Unit{Base: \"load\"},\n 538→\t\t\t\tTimestep: 60,\n 539→\t\t\t\tSeries: []schema.Series{\n 540→\t\t\t\t\t{\n 541→\t\t\t\t\t\tHostname: \"host123\",\n 542→\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n 543→\t\t\t\t\t\tData: []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n 544→\t\t\t\t\t},\n 545→\t\t\t\t},\n 546→\t\t\t},\n 547→\t\t},\n 548→\t}\n 549→\n 550→\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n 551→\t\treturn testData, nil\n 552→\t}\n 553→\n 554→\tfor _, tt := range tests {\n 555→\t\tt.Run(tt.name, func(t *testing.T) {\n 556→\t\t\tif tt.setupJobFunc != nil {\n 557→\t\t\t\ttt.setupJobFunc()\n 558→\t\t\t}\n 559→\n 560→\t\t\tnatsAPI.handleStopJob(tt.payload)\n 561→\n 562→\t\t\t// Allow some time for async operations\n 563→\t\t\ttime.Sleep(100 * time.Millisecond)\n 564→\n 565→\t\t\tif !tt.expectError && tt.validateJob != nil {\n 566→\t\t\t\t// Extract job details from payload\n 567→\t\t\t\tvar payloadMap map[string]any\n 568→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n 569→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n 570→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n 571→\n 572→\t\t\t\tvar startTime *int64\n 573→\t\t\t\tif st, ok := payloadMap[\"startTime\"]; ok {\n 574→\t\t\t\t\tt := int64(st.(float64))\n 575→\t\t\t\t\tstartTime = &t\n 576→\t\t\t\t}\n 577→\n 578→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, startTime)\n 579→\t\t\t\tif err != nil {\n 580→\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n 581→\t\t\t\t}\n 582→\n 583→\t\t\t\ttt.validateJob(t, job)\n 584→\t\t\t}\n 585→\t\t})\n 586→\t}\n 587→}\n 588→\n 589→func TestNatsHandleNodeState(t *testing.T) {\n 590→\tnatsAPI := setupNatsTest(t)\n 591→\tt.Cleanup(cleanupNatsTest)\n 592→\n 593→\ttests := []struct {\n 594→\t\tname string\n 595→\t\tdata []byte\n 596→\t\texpectError bool\n 597→\t\tvalidateFn func(t *testing.T)\n 598→\t}{\n 599→\t\t{\n 600→\t\t\tname: \"valid node state update\",\n 601→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n 602→\t\t\texpectError: false,\n 603→\t\t\tvalidateFn: func(t *testing.T) {\n 604→\t\t\t\t// In a full test, we would verify the node state was updated in the database\n 605→\t\t\t\t// For now, just ensure no error occurred\n 606→\t\t\t},\n 607→\t\t},\n 608→\t\t{\n 609→\t\t\tname: \"multiple nodes\",\n 610→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"host124\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":4,\\\"memoryAllocated\\\":8192,\\\"gpusAllocated\\\":1,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n 611→\t\t\texpectError: false,\n 612→\t\t},\n 613→\t\t{\n 614→\t\t\tname: \"invalid JSON in event field\",\n 615→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":\\\"not an array\\\"}\" 1234567890000000000`),\n 616→\t\t\texpectError: true,\n 617→\t\t},\n 618→\t\t{\n 619→\t\t\tname: \"empty nodes array\",\n 620→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n 621→\t\t\texpectError: false, // Empty array should not cause error\n 622→\t\t},\n 623→\t\t{\n 624→\t\t\tname: \"invalid line protocol format\",\n 625→\t\t\tdata: []byte(`invalid line protocol format`),\n 626→\t\t\texpectError: true,\n 627→\t\t},\n 628→\t\t{\n 629→\t\t\tname: \"empty data\",\n 630→\t\t\tdata: []byte(``),\n 631→\t\t\texpectError: false, // Should be handled gracefully with warning\n 632→\t\t},\n 633→\t}\n 634→\n 635→\tfor _, tt := range tests {\n 636→\t\tt.Run(tt.name, func(t *testing.T) {\n 637→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n 638→\n 639→\t\t\t// Allow some time for async operations\n 640→\t\t\ttime.Sleep(50 * time.Millisecond)\n 641→\n 642→\t\t\tif tt.validateFn != nil {\n 643→\t\t\t\ttt.validateFn(t)\n 644→\t\t\t}\n 645→\t\t})\n 646→\t}\n 647→}\n 648→\n 649→func TestNatsProcessJobEvent(t *testing.T) {\n 650→\tnatsAPI := setupNatsTest(t)\n 651→\tt.Cleanup(cleanupNatsTest)\n 652→\n 653→\tmsgStartJob, err := lp.NewMessage(\n 654→\t\t\"job\",\n 655→\t\tmap[string]string{\"function\": \"start_job\"},\n 656→\t\tnil,\n 657→\t\tmap[string]any{\n 658→\t\t\t\"event\": `{\n 659→\t\t\t\t\"jobId\": 3001,\n 660→\t\t\t\t\"user\": \"testuser\",\n 661→\t\t\t\t\"project\": \"testproj\",\n 662→\t\t\t\t\"cluster\": \"testcluster\",\n 663→\t\t\t\t\"partition\": \"main\",\n 664→\t\t\t\t\"walltime\": 3600,\n 665→\t\t\t\t\"numNodes\": 1,\n 666→\t\t\t\t\"numHwthreads\": 8,\n 667→\t\t\t\t\"numAcc\": 0,\n 668→\t\t\t\t\"shared\": \"none\",\n 669→\t\t\t\t\"monitoringStatus\": 1,\n 670→\t\t\t\t\"smt\": 1,\n 671→\t\t\t\t\"resources\": [\n 672→\t\t\t\t\t{\n 673→\t\t\t\t\t\t\"hostname\": \"host123\",\n 674→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 675→\t\t\t\t\t}\n 676→\t\t\t\t],\n 677→\t\t\t\t\"startTime\": 1234567890\n 678→\t\t\t}`,\n 679→\t\t},\n 680→\t\ttime.Now(),\n 681→\t)\n 682→\tif err != nil {\n 683→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n 684→\t}\n 685→\n 686→\tmsgMissingTag, err := lp.NewMessage(\n 687→\t\t\"job\",\n 688→\t\tmap[string]string{},\n 689→\t\tnil,\n 690→\t\tmap[string]any{\n 691→\t\t\t\"event\": `{}`,\n 692→\t\t},\n 693→\t\ttime.Now(),\n 694→\t)\n 695→\tif err != nil {\n 696→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n 697→\t}\n 698→\n 699→\tmsgUnknownFunc, err := lp.NewMessage(\n 700→\t\t\"job\",\n 701→\t\tmap[string]string{\"function\": \"unknown_function\"},\n 702→\t\tnil,\n 703→\t\tmap[string]any{\n 704→\t\t\t\"event\": `{}`,\n 705→\t\t},\n 706→\t\ttime.Now(),\n 707→\t)\n 708→\tif err != nil {\n 709→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n 710→\t}\n 711→\n 712→\ttests := []struct {\n 713→\t\tname string\n 714→\t\tmessage lp.CCMessage\n 715→\t\texpectError bool\n 716→\t}{\n 717→\t\t{\n 718→\t\t\tname: \"start_job function\",\n 719→\t\t\tmessage: msgStartJob,\n 720→\t\t\texpectError: false,\n 721→\t\t},\n 722→\t\t{\n 723→\t\t\tname: \"missing function tag\",\n 724→\t\t\tmessage: msgMissingTag,\n 725→\t\t\texpectError: true,\n 726→\t\t},\n 727→\t\t{\n 728→\t\t\tname: \"unknown function\",\n 729→\t\t\tmessage: msgUnknownFunc,\n 730→\t\t\texpectError: false,\n 731→\t\t},\n 732→\t}\n 733→\n 734→\tfor _, tt := range tests {\n 735→\t\tt.Run(tt.name, func(t *testing.T) {\n 736→\t\t\tnatsAPI.processJobEvent(tt.message)\n 737→\t\t\ttime.Sleep(50 * time.Millisecond)\n 738→\t\t})\n 739→\t}\n 740→}\n 741→\n 742→func TestNatsHandleJobEvent(t *testing.T) {\n 743→\tnatsAPI := setupNatsTest(t)\n 744→\tt.Cleanup(cleanupNatsTest)\n 745→\n 746→\ttests := []struct {\n 747→\t\tname string\n 748→\t\tdata []byte\n 749→\t\texpectError bool\n 750→\t}{\n 751→\t\t{\n 752→\t\t\tname: \"valid influx line protocol\",\n 753→\t\t\tdata: []byte(`job,function=start_job event=\"{\\\"jobId\\\":4001,\\\"user\\\":\\\"testuser\\\",\\\"project\\\":\\\"testproj\\\",\\\"cluster\\\":\\\"testcluster\\\",\\\"partition\\\":\\\"main\\\",\\\"walltime\\\":3600,\\\"numNodes\\\":1,\\\"numHwthreads\\\":8,\\\"numAcc\\\":0,\\\"shared\\\":\\\"none\\\",\\\"monitoringStatus\\\":1,\\\"smt\\\":1,\\\"resources\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"hwthreads\\\":[0,1,2,3]}],\\\"startTime\\\":1234567890}\" 1234567890000000000`),\n 754→\t\t\texpectError: false,\n 755→\t\t},\n 756→\t\t{\n 757→\t\t\tname: \"invalid influx line protocol\",\n 758→\t\t\tdata: []byte(`invalid line protocol format`),\n 759→\t\t\texpectError: true,\n 760→\t\t},\n 761→\t\t{\n 762→\t\t\tname: \"empty data\",\n 763→\t\t\tdata: []byte(``),\n 764→\t\t\texpectError: false, // Decoder should handle empty input gracefully\n 765→\t\t},\n 766→\t}\n 767→\n 768→\tfor _, tt := range tests {\n 769→\t\tt.Run(tt.name, func(t *testing.T) {\n 770→\t\t\t// HandleJobEvent doesn't return errors, it logs them\n 771→\t\t\t// We're just ensuring it doesn't panic\n 772→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n 773→\t\t\ttime.Sleep(50 * time.Millisecond)\n 774→\t\t})\n 775→\t}\n 776→}\n 777→\n 778→func TestNatsHandleJobEventEdgeCases(t *testing.T) {\n 779→\tnatsAPI := setupNatsTest(t)\n 780→\tt.Cleanup(cleanupNatsTest)\n 781→\n 782→\ttests := []struct {\n 783→\t\tname string\n 784→\t\tdata []byte\n 785→\t\texpectError bool\n 786→\t\tdescription string\n 787→\t}{\n 788→\t\t{\n 789→\t\t\tname: \"non-event message (metric data)\",\n 790→\t\t\tdata: []byte(`job,function=start_job value=123.45 1234567890000000000`),\n 791→\t\t\texpectError: false,\n 792→\t\t\tdescription: \"Should skip non-event messages gracefully\",\n 793→\t\t},\n 794→\t\t{\n 795→\t\t\tname: \"wrong measurement name\",\n 796→\t\t\tdata: []byte(`wrongmeasurement,function=start_job event=\"{}\" 1234567890000000000`),\n 797→\t\t\texpectError: false,\n 798→\t\t\tdescription: \"Should warn about unexpected measurement but not fail\",\n 799→\t\t},\n 800→\t\t{\n 801→\t\t\tname: \"missing event field\",\n 802→\t\t\tdata: []byte(`job,function=start_job other_field=\"value\" 1234567890000000000`),\n 803→\t\t\texpectError: true,\n 804→\t\t\tdescription: \"Should error when event field is missing\",\n 805→\t\t},\n 806→\t\t{\n 807→\t\t\tname: \"multiple measurements in one message\",\n 808→\t\t\tdata: []byte(\"job,function=start_job event=\\\"{}\\\" 1234567890000000000\\njob,function=stop_job event=\\\"{}\\\" 1234567890000000000\"),\n 809→\t\t\texpectError: false,\n 810→\t\t\tdescription: \"Should process multiple lines\",\n 811→\t\t},\n 812→\t\t{\n 813→\t\t\tname: \"escaped quotes in JSON payload\",\n 814→\t\t\tdata: []byte(`job,function=start_job event=\"{\\\"jobId\\\":6001,\\\"user\\\":\\\"test\\\\\\\"user\\\",\\\"cluster\\\":\\\"test\\\"}\" 1234567890000000000`),\n 815→\t\t\texpectError: true,\n 816→\t\t\tdescription: \"Should handle escaped quotes (though JSON parsing may fail)\",\n 817→\t\t},\n 818→\t}\n 819→\n 820→\tfor _, tt := range tests {\n 821→\t\tt.Run(tt.name, func(t *testing.T) {\n 822→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n 823→\t\t\ttime.Sleep(50 * time.Millisecond)\n 824→\t\t})\n 825→\t}\n 826→}\n 827→\n 828→func TestNatsHandleNodeStateEdgeCases(t *testing.T) {\n 829→\tnatsAPI := setupNatsTest(t)\n 830→\tt.Cleanup(cleanupNatsTest)\n 831→\n 832→\ttests := []struct {\n 833→\t\tname string\n 834→\t\tdata []byte\n 835→\t\texpectError bool\n 836→\t\tdescription string\n 837→\t}{\n 838→\t\t{\n 839→\t\t\tname: \"missing cluster field in JSON\",\n 840→\t\t\tdata: []byte(`nodestate event=\"{\\\"nodes\\\":[]}\" 1234567890000000000`),\n 841→\t\t\texpectError: true,\n 842→\t\t\tdescription: \"Should fail when cluster is missing\",\n 843→\t\t},\n 844→\t\t{\n 845→\t\t\tname: \"malformed JSON with unescaped quotes\",\n 846→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"test\"cluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n 847→\t\t\texpectError: true,\n 848→\t\t\tdescription: \"Should fail on malformed JSON\",\n 849→\t\t},\n 850→\t\t{\n 851→\t\t\tname: \"unicode characters in hostname\",\n 852→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host-ñ123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n 853→\t\t\texpectError: false,\n 854→\t\t\tdescription: \"Should handle unicode characters\",\n 855→\t\t},\n 856→\t\t{\n 857→\t\t\tname: \"very large node count\",\n 858→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node1\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node2\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node3\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n 859→\t\t\texpectError: false,\n 860→\t\t\tdescription: \"Should handle multiple nodes efficiently\",\n 861→\t\t},\n 862→\t\t{\n 863→\t\t\tname: \"timestamp in past\",\n 864→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1000000000000000000`),\n 865→\t\t\texpectError: false,\n 866→\t\t\tdescription: \"Should accept any valid timestamp\",\n 867→\t\t},\n 868→\t}\n 869→\n 870→\tfor _, tt := range tests {\n 871→\t\tt.Run(tt.name, func(t *testing.T) {\n 872→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n 873→\t\t\ttime.Sleep(50 * time.Millisecond)\n 874→\t\t})\n 875→\t}\n 876→}\n 877→\n 878→func TestNatsHandleStartJobDuplicatePrevention(t *testing.T) {\n 879→\tnatsAPI := setupNatsTest(t)\n 880→\tt.Cleanup(cleanupNatsTest)\n 881→\n 882→\t// Start a job\n 883→\tpayload := `{\n 884→\t\t\"jobId\": 5001,\n 885→\t\t\"user\": \"testuser\",\n 886→\t\t\"project\": \"testproj\",\n 887→\t\t\"cluster\": \"testcluster\",\n 888→\t\t\"partition\": \"main\",\n 889→\t\t\"walltime\": 3600,\n 890→\t\t\"numNodes\": 1,\n 891→\t\t\"numHwthreads\": 8,\n 892→\t\t\"numAcc\": 0,\n 893→\t\t\"shared\": \"none\",\n 894→\t\t\"monitoringStatus\": 1,\n 895→\t\t\"smt\": 1,\n 896→\t\t\"resources\": [\n 897→\t\t\t{\n 898→\t\t\t\t\"hostname\": \"host123\",\n 899→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 900→\t\t\t}\n 901→\t\t],\n 902→\t\t\"startTime\": 1234567890\n 903→\t}`\n 904→\n 905→\tnatsAPI.handleStartJob(payload)\n 906→\tnatsAPI.JobRepository.SyncJobs()\n 907→\ttime.Sleep(100 * time.Millisecond)\n 908→\n 909→\t// Try to start the same job again (within 24 hours)\n 910→\tduplicatePayload := `{\n 911→\t\t\"jobId\": 5001,\n 912→\t\t\"user\": \"testuser\",\n 913→\t\t\"project\": \"testproj\",\n 914→\t\t\"cluster\": \"testcluster\",\n 915→\t\t\"partition\": \"main\",\n 916→\t\t\"walltime\": 3600,\n 917→\t\t\"numNodes\": 1,\n 918→\t\t\"numHwthreads\": 8,\n 919→\t\t\"numAcc\": 0,\n 920→\t\t\"shared\": \"none\",\n 921→\t\t\"monitoringStatus\": 1,\n 922→\t\t\"smt\": 1,\n 923→\t\t\"resources\": [\n 924→\t\t\t{\n 925→\t\t\t\t\"hostname\": \"host123\",\n 926→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 927→\t\t\t}\n 928→\t\t],\n 929→\t\t\"startTime\": 1234567900\n 930→\t}`\n 931→\n 932→\tnatsAPI.handleStartJob(duplicatePayload)\n 933→\tnatsAPI.JobRepository.SyncJobs()\n 934→\ttime.Sleep(100 * time.Millisecond)\n 935→\n 936→\t// Verify only one job exists\n 937→\tjobID := int64(5001)\n 938→\tcluster := \"testcluster\"\n 939→\tjobs, err := natsAPI.JobRepository.FindAll(&jobID, &cluster, nil)\n 940→\tif err != nil && err != sql.ErrNoRows {\n 941→\t\tt.Fatalf(\"unexpected error: %v\", err)\n 942→\t}\n 943→\n 944→\tif len(jobs) != 1 {\n 945→\t\tt.Errorf(\"expected 1 job, got %d\", len(jobs))\n 946→\t}\n 947→}\n 948→"}]},"uuid":"f335ec96-f04d-44a2-bce8-3294f8317379","timestamp":"2026-03-16T10:57:20.010Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"3f69588d-d2ef-41ac-91fa-b04f7bb90ac9","timestamp":"2026-03-16T10:57:20.010Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id)."}]},"uuid":"50877ff3-fb5a-40b2-a248-65a926339f90","timestamp":"2026-03-16T10:57:23.138Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"d700a380-546f-4d80-a000-583eda2cc2c4","timestamp":"2026-03-16T10:57:23.190Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"d700a380-546f-4d80-a000-583eda2cc2c4","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:57:24.891Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01YcDJpj14GA38mHwSrvKzns","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017fnMrsukePgyB3SPRzxKoB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","offset":245,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2625,"cache_read_input_tokens":46685,"cache_creation":{"ephemeral_5m_input_tokens":2625,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6e3SY6EDgdsz3KYLPJF","uuid":"0b806588-05d4-480f-9a22-a49ec6d1eb98"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"d3d66bde-a2ab-4110-af32-eb2fb659f591","timestamp":"2026-03-16T10:57:24.891Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"d3d66bde-a2ab-4110-af32-eb2fb659f591","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017fnMrsukePgyB3SPRzxKoB","type":"tool_result","content":" 245→}\n 246→\n 247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n 248→type NodeStateUpdate struct {\n 249→\tHostname string\n 250→\tCluster string\n 251→\tNodeState *schema.NodeStateDB\n 252→}\n 253→\n 254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n 255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n 256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n 257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n 258→\ttx, err := r.DB.Beginx()\n 259→\tif err != nil {\n 260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n 261→\t}\n 262→\tdefer tx.Rollback()\n 263→\n 264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n 265→\tif err != nil {\n 266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n 267→\t}\n 268→\tdefer stmtLookup.Close()\n 269→\n 270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n 271→\tif err != nil {\n 272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n 273→\t}\n 274→\tdefer stmtInsertNode.Close()\n 275→\n 276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n 277→\tif err != nil {\n 278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n 279→\t}\n 280→\tdefer stmtInsertState.Close()\n 281→\n 282→\tfor _, u := range updates {\n 283→\t\tvar id int64\n 284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n 285→\t\t\tif err == sql.ErrNoRows {\n 286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n 287→\t\t\t\tif scErr != nil {\n 288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n 289→\t\t\t\t\tcontinue\n 290→\t\t\t\t}\n 291→\t\t\t\tnode := schema.NodeDB{\n 292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n 293→\t\t\t\t}\n 294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n 295→\t\t\t\tif insertErr != nil {\n 296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n 297→\t\t\t\t\tcontinue\n 298→\t\t\t\t}\n 299→\t\t\t\tid, _ = res.LastInsertId()\n 300→\t\t\t} else {\n 301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n 302→\t\t\t\tcontinue\n 303→\t\t\t}\n 304→\t\t}\n 305→\n 306→\t\tu.NodeState.NodeID = id\n 307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n 308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n 309→\t\t}\n 310→\t}\n 311→\n 312→\tif err := tx.Commit(); err != nil {\n 313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n 314→\t}\n 315→\treturn nil\n 316→}\n 317→\n 318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 321→// \t\treturn err\n 322→// \t}\n 323→//\n 324→// \treturn nil\n 325→// }\n 326→\n 327→// NodeStateWithNode combines a node state row with denormalized node info.\n 328→type NodeStateWithNode struct {\n 329→\tID int64 `db:\"id\"`\n 330→\tTimeStamp int64 `db:\"time_stamp\"`\n 331→\tNodeState string `db:\"node_state\"`\n 332→\tHealthState string `db:\"health_state\"`\n 333→\tHealthMetrics string `db:\"health_metrics\"`\n 334→\tCpusAllocated int `db:\"cpus_allocated\"`\n 335→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 336→\tGpusAllocated int `db:\"gpus_allocated\"`\n 337→\tJobsRunning int `db:\"jobs_running\"`\n 338→\tHostname string `db:\"hostname\"`\n 339→\tCluster string `db:\"cluster\"`\n 340→\tSubCluster string `db:\"subcluster\"`\n 341→}\n 342→\n 343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 344→// joined with node info for denormalized archiving."}]},"uuid":"f98ec5c2-7a3d-4828-aa2f-60a57eaea445","timestamp":"2026-03-16T10:57:24.896Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"11414535-6c34-49c2-b659-815e84892313","timestamp":"2026-03-16T10:57:24.908Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"c885186d-d4f8-4d60-90ff-a384ea6c5e29","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Qc4tf8ijy7NCDnWPcgYTE","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-lib.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package schema\n 7→\n 8→// SchedulerState represents the current state of a node in the HPC job scheduler.\n 9→// States typically reflect SLURM/PBS node states.\n 10→type SchedulerState string\n 11→\n 12→const (\n 13→\tNodeStateAllocated SchedulerState = \"allocated\" // Node is fully allocated to jobs\n 14→\tNodeStateReserved SchedulerState = \"reserved\" // Node is reserved but not yet allocated\n 15→\tNodeStateIdle SchedulerState = \"idle\" // Node is available for jobs\n 16→\tNodeStateMixed SchedulerState = \"mixed\" // Node is partially allocated\n 17→\tNodeStateDown SchedulerState = \"down\" // Node is down/offline\n 18→\tNodeStateUnknown SchedulerState = \"unknown\" // Node state unknown\n 19→)\n 20→\n 21→// MonitoringState indicates the health monitoring status of a node.\n 22→// Reflects whether metric collection is working correctly.\n 23→type MonitoringState string\n 24→\n 25→const (\n 26→\tMonitoringStateFull MonitoringState = \"full\" // All metrics being collected successfully\n 27→\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n 28→\tMonitoringStateFailed MonitoringState = \"failed\" // Metric collection failing\n 29→)\n 30→\n 31→// Node represents the current state and resource utilization of a compute node.\n 32→//\n 33→// Combines scheduler state with monitoring health and current resource allocation.\n 34→// Used for displaying node status in dashboards and tracking node utilization.\n 35→type Node struct {\n 36→\tHostname string `json:\"hostname\"` // Node hostname\n 37→\tCluster string `json:\"cluster\"` // Cluster name\n 38→\tSubCluster string `json:\"subCluster\"` // Subcluster name\n 39→\tMetaData map[string]string `json:\"metaData\"` // Additional metadata\n 40→\tHealthData map[string][]string `json:\"healthData\"` // Details about available metrics per node\n 41→\tNodeState SchedulerState `json:\"nodeState\"` // Scheduler/resource manager state\n 42→\tHealthState MonitoringState `json:\"healthState\"` // Monitoring system health\n 43→\tCpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n 44→\tMemoryAllocated int `json:\"memoryAllocated\"` // Allocated memory in MB\n 45→\tGpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n 46→\tJobsRunning int `json:\"jobsRunning\"` // Number of jobs running on this node\n 47→}\n 48→\n 49→// NodePayload is the request body format for the node state REST API.\n 50→// Used when updateing node states from external monitoring or scheduler systems.\n 51→type NodePayload struct {\n 52→\tHostname string `json:\"hostname\"` // Node hostname\n 53→\tStates []string `json:\"states\"` // State strings (flexible format)\n 54→\tCpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n 55→\tMemoryAllocated int64 `json:\"memoryAllocated\"` // Allocated memory in MB\n 56→\tGpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n 57→\tJobsRunning int `json:\"jobsRunning\"` // Number of running jobs\n 58→}\n 59→\n 60→// NodeDB is the database model for the node table.\n 61→// Stores static node configuration and metadata.\n 62→type NodeDB struct {\n 63→\tID int64 `json:\"id\" db:\"id\"` // Database ID\n 64→\tHostname string `json:\"hostname\" db:\"hostname\" example:\"fritz\"` // Node hostname\n 65→\tCluster string `json:\"cluster\" db:\"cluster\" example:\"fritz\"` // Cluster name\n 66→\tSubCluster string `json:\"subCluster\" db:\"subcluster\" example:\"main\"` // Subcluster name\n 67→\tRawMetaData []byte `json:\"-\" db:\"meta_data\"` // Metadata as JSON blob\n 68→}\n 69→\n 70→// NodeStateDB is the database model for the node_state table.\n 71→// Stores time-stamped snapshots of node state and resource allocation.\n 72→type NodeStateDB struct {\n 73→\tID int64 `json:\"id\" db:\"id\"` // Database ID\n 74→\tTimeStamp int64 `json:\"timeStamp\" db:\"time_stamp\" example:\"1649723812\"` // Unix timestamp\n 75→\tNodeState SchedulerState `json:\"nodeState\" db:\"node_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"` // Scheduler state\n 76→\tHealthState MonitoringState `json:\"healthState\" db:\"health_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"` // Monitoring health\n 77→\tHealthMetrics string `json:\"healthMetrics\" db:\"health_metrics\"` // JSON: {\"missing\":[...],\"degraded\":[...]}\n 78→\tCpusAllocated int `json:\"cpusAllocated\" db:\"cpus_allocated\"` // Allocated CPUs\n 79→\tMemoryAllocated int64 `json:\"memoryAllocated\" db:\"memory_allocated\"` // Allocated memory (MB)\n 80→\tGpusAllocated int `json:\"gpusAllocated\" db:\"gpus_allocated\"` // Allocated GPUs\n 81→\tJobsRunning int `json:\"jobsRunning\" db:\"jobs_running\" example:\"12\"` // Running jobs\n 82→\tNodeID int64 `json:\"_\" db:\"node_id\"` // Foreign key to NodeDB\n 83→}\n 84→"}]},"uuid":"a1415360-d7aa-44f2-a77c-1d75a41544a1","timestamp":"2026-03-16T10:57:59.144Z"},"type":"agent_progress","prompt":"","agentId":"a23b8dfea9f3e3990"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","uuid":"993de9d0-f766-49aa-8c5e-9079c1c4a01b","timestamp":"2026-03-16T10:57:59.166Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"28ae95b6-3b29-485b-b7d6-72dbed7a8747","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RR57EbwNyUmykExBrL5mPT","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-lib.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package schema\n 7→\n 8→// SchedulerState represents the current state of a node in the HPC job scheduler.\n 9→// States typically reflect SLURM/PBS node states.\n 10→type SchedulerState string\n 11→\n 12→const (\n 13→\tNodeStateAllocated SchedulerState = \"allocated\" // Node is fully allocated to jobs\n 14→\tNodeStateReserved SchedulerState = \"reserved\" // Node is reserved but not yet allocated\n 15→\tNodeStateIdle SchedulerState = \"idle\" // Node is available for jobs\n 16→\tNodeStateMixed SchedulerState = \"mixed\" // Node is partially allocated\n 17→\tNodeStateDown SchedulerState = \"down\" // Node is down/offline\n 18→\tNodeStateUnknown SchedulerState = \"unknown\" // Node state unknown\n 19→)\n 20→\n 21→// MonitoringState indicates the health monitoring status of a node.\n 22→// Reflects whether metric collection is working correctly.\n 23→type MonitoringState string\n 24→\n 25→const (\n 26→\tMonitoringStateFull MonitoringState = \"full\" // All metrics being collected successfully\n 27→\tMonitoringStatePartial MonitoringState = \"partial\" // Some metrics missing\n 28→\tMonitoringStateFailed MonitoringState = \"failed\" // Metric collection failing\n 29→)\n 30→\n 31→// Node represents the current state and resource utilization of a compute node.\n 32→//\n 33→// Combines scheduler state with monitoring health and current resource allocation.\n 34→// Used for displaying node status in dashboards and tracking node utilization.\n 35→type Node struct {\n 36→\tHostname string `json:\"hostname\"` // Node hostname\n 37→\tCluster string `json:\"cluster\"` // Cluster name\n 38→\tSubCluster string `json:\"subCluster\"` // Subcluster name\n 39→\tMetaData map[string]string `json:\"metaData\"` // Additional metadata\n 40→\tHealthData map[string][]string `json:\"healthData\"` // Details about available metrics per node\n 41→\tNodeState SchedulerState `json:\"nodeState\"` // Scheduler/resource manager state\n 42→\tHealthState MonitoringState `json:\"healthState\"` // Monitoring system health\n 43→\tCpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n 44→\tMemoryAllocated int `json:\"memoryAllocated\"` // Allocated memory in MB\n 45→\tGpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n 46→\tJobsRunning int `json:\"jobsRunning\"` // Number of jobs running on this node\n 47→}\n 48→\n 49→// NodePayload is the request body format for the node state REST API.\n 50→// Used when updateing node states from external monitoring or scheduler systems.\n 51→type NodePayload struct {\n 52→\tHostname string `json:\"hostname\"` // Node hostname\n 53→\tStates []string `json:\"states\"` // State strings (flexible format)\n 54→\tCpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n 55→\tMemoryAllocated int64 `json:\"memoryAllocated\"` // Allocated memory in MB\n 56→\tGpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n 57→\tJobsRunning int `json:\"jobsRunning\"` // Number of running jobs\n 58→}\n 59→\n 60→// NodeDB is the database model for the node table.\n 61→// Stores static node configuration and metadata.\n 62→type NodeDB struct {\n 63→\tID int64 `json:\"id\" db:\"id\"` // Database ID\n 64→\tHostname string `json:\"hostname\" db:\"hostname\" example:\"fritz\"` // Node hostname\n 65→\tCluster string `json:\"cluster\" db:\"cluster\" example:\"fritz\"` // Cluster name\n 66→\tSubCluster string `json:\"subCluster\" db:\"subcluster\" example:\"main\"` // Subcluster name\n 67→\tRawMetaData []byte `json:\"-\" db:\"meta_data\"` // Metadata as JSON blob\n 68→}\n 69→\n 70→// NodeStateDB is the database model for the node_state table.\n 71→// Stores time-stamped snapshots of node state and resource allocation.\n 72→type NodeStateDB struct {\n 73→\tID int64 `json:\"id\" db:\"id\"` // Database ID\n 74→\tTimeStamp int64 `json:\"timeStamp\" db:\"time_stamp\" example:\"1649723812\"` // Unix timestamp\n 75→\tNodeState SchedulerState `json:\"nodeState\" db:\"node_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"` // Scheduler state\n 76→\tHealthState MonitoringState `json:\"healthState\" db:\"health_state\" example:\"completed\" enums:\"completed,failed,cancelled,stopped,timeout,out_of_memory\"` // Monitoring health\n 77→\tHealthMetrics string `json:\"healthMetrics\" db:\"health_metrics\"` // JSON: {\"missing\":[...],\"degraded\":[...]}\n 78→\tCpusAllocated int `json:\"cpusAllocated\" db:\"cpus_allocated\"` // Allocated CPUs\n 79→\tMemoryAllocated int64 `json:\"memoryAllocated\" db:\"memory_allocated\"` // Allocated memory (MB)\n 80→\tGpusAllocated int `json:\"gpusAllocated\" db:\"gpus_allocated\"` // Allocated GPUs\n 81→\tJobsRunning int `json:\"jobsRunning\" db:\"jobs_running\" example:\"12\"` // Running jobs\n 82→\tNodeID int64 `json:\"_\" db:\"node_id\"` // Foreign key to NodeDB\n 83→}\n 84→"}]},"uuid":"44f3bbcb-f03f-4ec1-98ab-20616ca5a86d","timestamp":"2026-03-16T10:57:59.216Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"16aa5334-d650-4dec-9e0c-a01dcb05a7c5","timestamp":"2026-03-16T10:57:59.243Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"56b40e80-3601-481a-90dd-7f6dc8ae8d44","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EGBFn43nQTbpuHrmb6iHpr","type":"tool_result","content":" 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 120→\tfor _, node := range req.Nodes {\n 121→\t\tstate := determineState(node.States)\n 122→\t\thealthState := schema.MonitoringStateFailed\n 123→\t\tvar healthMetrics string\n 124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 125→\t\t\thealthState = result.State\n 126→\t\t\thealthMetrics = result.HealthMetrics\n 127→\t\t}\n 128→\t\tnodeState := schema.NodeStateDB{\n 129→\t\t\tTimeStamp: requestReceived,\n 130→\t\t\tNodeState: state,\n 131→\t\t\tCpusAllocated: node.CpusAllocated,\n 132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 133→\t\t\tGpusAllocated: node.GpusAllocated,\n 134→\t\t\tHealthState: healthState,\n 135→\t\t\tHealthMetrics: healthMetrics,\n 136→\t\t\tJobsRunning: node.JobsRunning,\n 137→\t\t}\n 138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 139→\t\t\tHostname: 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given job, only with the requested metrics.\n 23→\tLoadData(job *schema.Job,\n 24→\t\tmetrics []string,\n 25→\t\tscopes []schema.MetricScope,\n 26→\t\tctx context.Context,\n 27→\t\tresolution int) (schema.JobData, error)\n 28→\n 29→\t// Return a map of metrics to a map of nodes to the metric statistics of the job. node scope only.\n 30→\tLoadStats(job *schema.Job,\n 31→\t\tmetrics []string,\n 32→\t\tctx context.Context) (map[string]map[string]schema.MetricStatistics, error)\n 33→\n 34→\t// Return a map of metrics to a map of scopes to the scoped metric statistics of the job.\n 35→\tLoadScopedStats(job *schema.Job,\n 36→\t\tmetrics []string,\n 37→\t\tscopes []schema.MetricScope,\n 38→\t\tctx context.Context) (schema.ScopedJobStats, error)\n 39→\n 40→\t// Return a map of hosts to a map of metrics at the requested scopes (currently only node) for that node.\n 41→\tLoadNodeData(cluster string,\n 42→\t\tmetrics, nodes []string,\n 43→\t\tscopes []schema.MetricScope,\n 44→\t\tfrom, to time.Time,\n 45→\t\tctx context.Context) (map[string]map[string][]*schema.JobMetric, error)\n 46→\n 47→\t// Return a map of hosts to a map of metrics to a map of scopes for multiple nodes.\n 48→\tLoadNodeListData(cluster, subCluster string,\n 49→\t\tnodes []string,\n 50→\t\tmetrics []string,\n 51→\t\tscopes []schema.MetricScope,\n 52→\t\tresolution int,\n 53→\t\tfrom, to time.Time,\n 54→\t\tctx context.Context) (map[string]schema.JobData, error)\n 55→\n 56→\t// HealthCheck evaluates the monitoring state for a set of nodes against expected metrics.\n 57→\tHealthCheck(cluster string,\n 58→\t\tnodes []string,\n 59→\t\tmetrics []string) (map[string]metricstore.HealthCheckResult, error)\n 60→}\n 61→\n 62→type CCMetricStoreConfig struct {\n 63→\tScope string `json:\"scope\"`\n 64→\tURL string `json:\"url\"`\n 65→\tToken string `json:\"token\"`\n 66→}\n 67→\n 68→var metricDataRepos map[string]MetricDataRepository = map[string]MetricDataRepository{}\n 69→\n 70→func Init(rawConfig json.RawMessage) error {\n 71→\tif rawConfig != nil {\n 72→\t\tvar configs []CCMetricStoreConfig\n 73→\t\tconfig.Validate(configSchema, rawConfig)\n 74→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 75→\t\tdec.DisallowUnknownFields()\n 76→\t\tif err := dec.Decode(&configs); err != nil {\n 77→\t\t\treturn fmt.Errorf(\"[METRICDISPATCH]> External Metric Store Config Init: Could not decode config file '%s' Error: %s\", rawConfig, err.Error())\n 78→\t\t}\n 79→\n 80→\t\tif len(configs) == 0 {\n 81→\t\t\treturn fmt.Errorf(\"[METRICDISPATCH]> No external metric store configurations found in config file\")\n 82→\t\t}\n 83→\n 84→\t\tfor _, config := range configs {\n 85→\t\t\tmetricDataRepos[config.Scope] = ccms.NewCCMetricStore(config.URL, config.Token)\n 86→\t\t}\n 87→\t}\n 88→\n 89→\treturn nil\n 90→}\n 91→\n 92→func GetMetricDataRepo(cluster string, subcluster string) (MetricDataRepository, error) {\n 93→\tvar repo MetricDataRepository\n 94→\tvar ok bool\n 95→\n 96→\tkey := cluster + \"-\" + subcluster\n 97→\trepo, ok = metricDataRepos[key]\n 98→\n 99→\tif !ok {\n 100→\t\trepo, ok = metricDataRepos[cluster]"}]},"uuid":"49bf4ab6-f7f4-418e-bf95-6f02c8c15436","timestamp":"2026-03-16T10:58:04.844Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"ddb332f7-1d1d-4647-a0bc-dcab8929d017","timestamp":"2026-03-16T10:58:04.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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124→"}]},"uuid":"78db6e8b-fb08-45bf-bbbb-9d4dbacf21c9","timestamp":"2026-03-16T10:58:07.760Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"a9291981-da57-41ee-81b6-5971f84ce494","timestamp":"2026-03-16T10:58:07.876Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"4f06cc81-c53b-4e85-a882-39235d7d8b92","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019K1rAG4mDt731AyeZudz9S","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package api provides the REST API layer for ClusterCockpit.\n 7→// It handles HTTP requests for job management, user administration,\n 8→// cluster queries, node state updates, and metrics storage operations.\n 9→// The API supports both JWT token authentication and session-based authentication.\n 10→package api\n 11→\n 12→import (\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"io\"\n 16→\t\"net/http\"\n 17→\t\"os\"\n 18→\t\"path/filepath\"\n 19→\t\"strings\"\n 20→\t\"sync\"\n 21→\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 29→\t\"github.com/go-chi/chi/v5\"\n 30→)\n 31→\n 32→// @title ClusterCockpit REST API\n 33→// @version 1.0.0\n 34→// @description API for batch job control.\n 35→\n 36→// @contact.name ClusterCockpit Project\n 37→// @contact.url https://github.com/ClusterCockpit\n 38→// @contact.email support@clustercockpit.org\n 39→\n 40→// @license.name MIT License\n 41→// @license.url https://opensource.org/licenses/MIT\n 42→\n 43→// @host localhost:8080\n 44→\n 45→// @securityDefinitions.apikey ApiKeyAuth\n 46→// @in header\n 47→// @name X-Auth-Token\n 48→\n 49→const (\n 50→\tnoticeFilePath = \"./var/notice.txt\"\n 51→\tnoticeFilePerms = 0o644\n 52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n 53→)\n 54→\n 55→type RestAPI struct {\n 56→\tJobRepository *repository.JobRepository\n 57→\tAuthentication *auth.Authentication\n 58→\tMachineStateDir string\n 59→\t// RepositoryMutex protects job creation operations from race conditions\n 60→\t// when checking for duplicate jobs during startJob API calls.\n 61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n 62→\t// from creating duplicate entries in the database.\n 63→\tRepositoryMutex sync.Mutex\n 64→}\n 65→\n 66→// New creates and initializes a new RestAPI instance with configured dependencies.\n 67→func New() *RestAPI {\n 68→\treturn &RestAPI{\n 69→\t\tJobRepository: repository.GetJobRepository(),\n 70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n 71→\t\tAuthentication: auth.GetAuthInstance(),\n 72→\t}\n 73→}\n 74→\n 75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n 76→// These routes use JWT token authentication via the X-Auth-Token header.\n 77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n 78→\t// REST API Uses TokenAuth\n 79→\t// User List\n 80→\tr.Get(\"/users/\", api.getUsers)\n 81→\t// Cluster List\n 82→\tr.Get(\"/clusters/\", api.getClusters)\n 83→\t// Slurm node state\n 84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n 85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n 86→\t// Job Handler\n 87→\tif config.Keys.APISubjects == nil {\n 88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n 89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n 90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n 91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n 92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n 93→\t}\n 94→\tr.Get(\"/jobs/\", api.getJobs)\n 95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n 96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n 97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n 98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n 99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n 100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n 101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n 103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n 104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n 105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 107→\n 108→\tr.Delete(\"/tags/\", api.removeTags)\n 109→\n 110→\tif api.MachineStateDir != \"\" {\n 111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n 112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 114→\t}\n 115→}\n 116→\n 117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n 118→// These are limited endpoints for regular users with JWT token authentication.\n 119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n 120→\t// REST API Uses TokenAuth\n 121→\tr.Get(\"/jobs/\", api.getJobs)\n 122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 125→}\n 126→\n 127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n 128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n 129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n 130→\t// REST API Uses TokenAuth\n 131→\tr.Post(\"/free\", freeMetrics)\n 132→\tr.Post(\"/write\", writeMetrics)\n 133→\tr.Get(\"/debug\", debugMetrics)\n 134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n 135→\t// Same endpoints but with trailing slash\n 136→\tr.Post(\"/free/\", freeMetrics)\n 137→\tr.Post(\"/write/\", writeMetrics)\n 138→\tr.Get(\"/debug/\", debugMetrics)\n 139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n 140→}\n 141→\n 142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n 143→// These routes use session-based authentication and require admin privileges.\n 144→// Routes use full paths 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(\n 24→ 'full', 'partial', 'failed'\n 25→ )),\n 26→ health_metrics TEXT, -- JSON array of strings\n 27→ node_id INTEGER,\n 28→ FOREIGN KEY (node_id) REFERENCES node (id)\n 29→);\n 30→\n 31→-- Add NEW Indices For New Node Table VARCHAR Fields\n 32→CREATE INDEX IF NOT EXISTS nodes_cluster ON node (cluster);\n 33→CREATE INDEX IF NOT EXISTS nodes_cluster_subcluster ON node (cluster, subcluster);\n 34→\n 35→-- Add NEW Indices For New Node_State Table Fields\n 36→CREATE INDEX IF NOT EXISTS nodestates_timestamp ON node_state (time_stamp);\n 37→CREATE INDEX IF NOT EXISTS nodestates_state_timestamp ON node_state (node_state, time_stamp);\n 38→CREATE INDEX IF NOT EXISTS nodestates_health_timestamp ON node_state (health_state, time_stamp);\n 39→CREATE INDEX IF NOT EXISTS nodestates_nodeid_state ON node_state (node_id, node_state);\n 40→CREATE INDEX IF NOT EXISTS nodestates_nodeid_health ON node_state (node_id, health_state);\n 41→CREATE INDEX IF NOT EXISTS nodestates_nodeid_timestamp ON 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notice.txt file\"), http.StatusForbidden, rw)\n239:\t\thandleError(fmt.Errorf(\"notice content exceeds maximum length of %d characters\", maxNoticeLength), http.StatusBadRequest, rw)\n248:\t\t\thandleError(fmt.Errorf(\"creating notice file failed: %w\", err), http.StatusInternalServerError, rw)\n257:\t\thandleError(fmt.Errorf(\"writing to notice file failed: %w\", err), http.StatusInternalServerError, rw)\n276:\t\thandleError(fmt.Errorf(\"only admins are allowed to list taggers\"), http.StatusForbidden, rw)\n288:\t\thandleError(fmt.Errorf(\"only admins are allowed to run taggers\"), http.StatusForbidden, rw)\n294:\t\thandleError(fmt.Errorf(\"missing required parameter: name\"), http.StatusBadRequest, rw)\n299:\t\thandleError(err, http.StatusConflict, rw)","is_error":false}]},"uuid":"6ac3c7aa-b4e1-49ed-8620-01b3eef682a4","timestamp":"2026-03-16T10:58:19.675Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"dac59b7d-1330-42e7-8c1e-63a8fcc38f70","timestamp":"2026-03-16T10:58:19.675Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"e7526e21-d90c-4da4-a25c-a5d113a6adf3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CNyfRWY2wAN8JaFjHeWfy9","type":"tool_result","content":" 170→}\n 171→\n 172→// ErrorResponse model\n 173→type ErrorResponse struct {\n 174→\t// Statustext of Errorcode\n 175→\tStatus string `json:\"status\"`\n 176→\tError string `json:\"error\"` // Error Message\n 177→}\n 178→\n 179→// DefaultAPIResponse model\n 180→type DefaultAPIResponse struct {\n 181→\tMessage string `json:\"msg\"`\n 182→}\n 183→\n 184→// handleError writes a standardized JSON error response with the given status code.\n 185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n 186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n 187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n 188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 189→\trw.WriteHeader(statusCode)\n 190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n 191→\t\tStatus: http.StatusText(statusCode),\n 192→\t\tError: err.Error(),\n 193→\t}); err != nil {\n 194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n 195→\t}\n 196→}\n 197→\n 198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n 199→func decode(r io.Reader, val any) error {\n 200→\tdec := json.NewDecoder(r)\n 201→\tdec.DisallowUnknownFields()\n 202→\treturn dec.Decode(val)\n 203→}\n 204→"}]},"uuid":"c239bff8-41ed-4594-94bf-384eb3379621","timestamp":"2026-03-16T10:58:20.968Z"},"type":"agent_progress","prompt":"","agentId":"ab03c542dd3b3a6c0"},"toolUseID":"agent_msg_01EXD5whwUKTXYWf6KEzAhuw","parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","uuid":"4ee45f89-f3a1-4164-bbfb-75a181fdab88","timestamp":"2026-03-16T10:58:21.007Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4ee45f89-f3a1-4164-bbfb-75a181fdab88","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","toolUseID":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","timestamp":"2026-03-16T10:58:25.388Z","uuid":"cbaba3cb-df99-4795-b4de-abc016016959","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"3203afb5-ee26-4663-93fb-0bc28379de94","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QACQnKJXcMpNDTm1Cyj6ZT","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me create a comprehensive analysis document.\n\n## Comprehensive Analysis of NATS Node State Handler Implementation\n\nBased on my thorough examination of the codebase, here's the complete analysis of the NATS node state update implementation:\n\n---\n\n### 1. FULL NATS NODE STATE HANDLER IMPLEMENTATION\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 380-458)\n\nThe handler consists of two main functions:\n\n#### **handleNodeState** (lines 427-458)\n```\nPurpose: Entry point for NATS node state messages\nProtocol: Receives InfluxDB line protocol encoded messages\nMessage Format: nodestate event=\"{...JSON...}\" \nProcessing: Decodes line protocol, validates message type, routes to processNodestateEvent\n```\n\n#### **processNodestateEvent** (lines 380-425)\n```\nPurpose: Processes the actual node state update logic\nInput: CCMessage object from line protocol decoder\nValidation: Extracts event field, parses JSON\nDatabase Op: Batch updates node states via repository\nLogging: Debug-level logging of update counts\n```\n\n---\n\n### 2. MESSAGE FORMAT SPECIFICATION\n\n**Line Protocol Format:**\n```\nnodestate event=\"{...JSON payload...}\" \n```\n\n**JSON Payload Structure (UpdateNodeStatesRequest):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n Nodes []schema.NodePayload `json:\"nodes\"`\n Cluster string `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload Structure (schema.NodePayload):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 49-58)\n\n```go\ntype NodePayload struct {\n Hostname string `json:\"hostname\"` // Node hostname\n States []string `json:\"states\"` // State strings (flexible format)\n CpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n MemoryAllocated int64 `json:\"memoryAllocated\"` // Allocated memory in MB\n GpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n JobsRunning int `json:\"jobsRunning\"` // Number of running jobs\n}\n```\n\n**Example Message:**\n```\nnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node001\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000\n```\n\n---\n\n### 3. VALIDATION AND BUSINESS LOGIC\n\n#### **State Determination (determineState function)**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 37-55)\n\nMaps string state values to SchedulerState enum:\n- `\"allocated\"` → `NodeStateAllocated`\n- `\"reserved\"` → `NodeStateReserved`\n- `\"idle\"` → `NodeStateIdle`\n- `\"down\"` → `NodeStateDown`\n- `\"mixed\"` → `NodeStateMixed`\n- Default → `NodeStateUnknown` (case-insensitive matching)\n\n#### **Validation Steps in processNodestateEvent**\n1. **Message Type Check:** Validates message is an \"event\" type (line 383-386)\n2. **JSON Parsing:** Uses `json.NewDecoder` with `DisallowUnknownFields` (line 391-396)\n3. **Line Protocol Validation:** Checks measurement name is \"nodestate\" (line 452-455)\n4. **Error Handling:** Non-fatal errors are logged; processing continues for other nodes\n\n#### **No Health Check Validation**\nUnlike REST API, NATS handler:\n- **Does NOT perform health checks** against metric store\n- **Sets HealthState to `MonitoringStateFull`** unconditionally (line 410)\n- **Does NOT include HealthMetrics** (always nil)\n\n---\n\n### 4. DATABASE OPERATIONS\n\nAll database operations are delegated to `repository.NodeRepository.BatchUpdateNodeStates()`.\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go` (lines 254-316)\n\n#### **NodeStateUpdate Structure:**\n```go\ntype NodeStateUpdate struct {\n Hostname string\n Cluster string\n NodeState *schema.NodeStateDB\n}\n```\n\n#### **NodeStateDB Structure (Database Model):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 70-83)\n\n```go\ntype NodeStateDB struct {\n ID int64 `db:\"id\"` // Database ID\n TimeStamp int64 `db:\"time_stamp\"` // Unix timestamp\n NodeState SchedulerState `db:\"node_state\"` // Scheduler state\n HealthState MonitoringState `db:\"health_state\"` // Monitoring health\n HealthMetrics string `db:\"health_metrics\"` // JSON health data\n CpusAllocated int `db:\"cpus_allocated\"` // Allocated CPUs\n MemoryAllocated int64 `db:\"memory_allocated\"` // Allocated memory\n GpusAllocated int `db:\"gpus_allocated\"` // Allocated GPUs\n JobsRunning int `db:\"jobs_running\"` // Running jobs\n NodeID int64 `db:\"node_id\"` // Foreign key to node table\n}\n```\n\n#### **BatchUpdateNodeStates Transaction Flow:**\n\n1. **Begin Transaction** (line 258)\n2. **Prepare Statements** (lines 264-280):\n - Node lookup query\n - Node insert statement\n - Node state insert statement\n3. **For Each Node Update** (lines 282-310):\n - **Lookup node** by hostname + cluster\n - **If not found:**\n - Get subcluster via `archive.GetSubClusterByNode()`\n - Create new node row with `NamedNodeInsert`\n - **If found or created:**\n - Insert node state row with `NamedNodeStateInsert`\n4. **Commit Transaction** (line 312)\n\n#### **Error Handling:**\n- Individual node errors are logged but don't prevent processing of other nodes\n- Errors logged at `ERROR` level (cclog.Errorf)\n- Transaction continues despite individual node failures\n\n#### **Timestamp Assignment:**\n- Uses `time.Now().Unix()` as the request received time (line 399)\n- This becomes the `TimeStamp` for all node state records in the batch\n\n---\n\n### 5. KEY DIFFERENCES FROM REST IMPLEMENTATION\n\n| Aspect | REST API | NATS API |\n|--------|----------|----------|\n| **Input Protocol** | HTTP POST/PUT with JSON body | NATS message with InfluxDB line protocol |\n| **Health Checks** | YES - performs health checks against metric store | NO - skips health checks entirely |\n| **Health State Value** | Determined from health check results or defaults to \"failed\" | Always set to `MonitoringStateFull` |\n| **Health Metrics** | Populated from health check results | Always empty/nil |\n| **Message Parsing** | Direct JSON decode from HTTP body | Line protocol decode → JSON extraction |\n| **Concurrency** | Single handler | Worker pool (default 2 workers, configurable) |\n| **Response** | HTTP response sent back to client | No response (async, fire-and-forget) |\n| **Error Handling** | Errors returned in HTTP response | Errors logged only, no client notification |\n| **Request Timestamp** | `time.Now().Unix()` at processing time | `time.Now().Unix()` at processing time (same) |\n| **Timeout Handling** | HTTP timeout from HTTP client | Channel-based with configurable concurrency |\n\n---\n\n### 6. CONFIGURATION\n\n**NATS Subject Configuration:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\n```go\ntype NATSConfig struct {\n SubjectJobEvent string `json:\"subject-job-event\"`\n SubjectNodeState string `json:\"subject-node-state\"`\n JobConcurrency int `json:\"job-concurrency\"`\n NodeConcurrency int `json:\"node-concurrency\"`\n}\n```\n\n**config.json Example:**\n```json\n{\n \"main\": {\n \"api-subjects\": {\n \"subject-node-state\": \"cc.node.state\",\n \"node-concurrency\": 2\n }\n }\n}\n```\n\n**Worker Pool Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 79-109)\n\n```\nDefault Concurrency: 2 node workers, 8 job workers\nConfigurable via: config.Keys.APISubjects.NodeConcurrency\nBuffering: Messages buffered in channels (size = concurrency level)\n```\n\n---\n\n### 7. INTEGRATION POINTS\n\n#### **Subscription Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 125-153)\n\n```\nStartSubscriptions():\n - Gets NATS client\n - Subscribes to SubjectNodeState\n - Routes messages to nodeCh channel\n - Workers consume messages asynchronously\n```\n\n#### **REST vs NATS Toggle:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` (lines 87-93)\n\nThe REST job start/stop endpoints are disabled when NATS subjects are configured:\n```go\nif config.Keys.APISubjects == nil {\n cclog.Info(\"Enabling REST start/stop job API\")\n r.Post(\"/jobs/start_job/\", api.startJob)\n r.Put(\"/jobs/start_job/\", api.startJob)\n r.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n r.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n}\n```\n\nThe node state endpoint is **always enabled** (not conditional):\n```go\nr.Post(\"/nodestate/\", api.updateNodeStates)\nr.Put(\"/nodestate/\", api.updateNodeStates)\n```\n\n---\n\n### 8. TESTING COVERAGE\n\nComprehensive test suite in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`:\n\n- **TestNatsHandleNodeState** (lines 589-647): Valid updates, multiple nodes, invalid JSON, empty data\n- **TestNatsHandleNodeStateEdgeCases** (lines 828-876): Missing fields, malformed JSON, unicode, large batches, timestamp handling\n- **TestNatsProcessJobEvent** (lines 649-740): Message routing and validation\n- **TestNatsHandleStartJob** & **TestNatsHandleStopJob**: Job lifecycle tests\n\n---\n\n### SUMMARY\n\nThe NATS node state handler is a **simplified, async version** of the REST endpoint that:\n- Trades **health check coverage** for **performance** (no metric store queries)\n- Uses **worker pool concurrency** for throughput\n- Applies **the same state determination logic** as REST\n- Performs **batch database operations** with transactional safety\n- Logs all errors but continues processing (fire-and-forget semantics)\n- Always marks nodes as `MonitoringStateFull` without validation\n\nThis design is suitable for trusted, internal monitoring systems where the health check is performed elsewhere before sending state updates."},{"type":"text","text":"agentId: a23b8dfea9f3e3990 (for resuming to continue this agent's work if needed)\ntotal_tokens: 57779\ntool_uses: 18\nduration_ms: 73543"}]}]},"uuid":"f8af4b78-f8e9-49ca-a695-0ab60425315c","timestamp":"2026-03-16T10:58:25.388Z","toolUseResult":{"status":"completed","prompt":"Find and thoroughly analyze the NATS implementation for handling node state updates in the cc-backend project. Look in internal/api/nats.go. I need:\n1. The full implementation of the NATS node state handler\n2. The message format it expects\n3. All validation and business logic\n4. Database operations performed\n5. How it differs from the REST implementation\n\nAlso check the config for NATS subjects and any related types/structs.","agentId":"a23b8dfea9f3e3990","content":[{"type":"text","text":"Perfect! Now I have all the information needed. Let me create a comprehensive analysis document.\n\n## Comprehensive Analysis of NATS Node State Handler Implementation\n\nBased on my thorough examination of the codebase, here's the complete analysis of the NATS node state update implementation:\n\n---\n\n### 1. FULL NATS NODE STATE HANDLER IMPLEMENTATION\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 380-458)\n\nThe handler consists of two main functions:\n\n#### **handleNodeState** (lines 427-458)\n```\nPurpose: Entry point for NATS node state messages\nProtocol: Receives InfluxDB line protocol encoded messages\nMessage Format: nodestate event=\"{...JSON...}\" \nProcessing: Decodes line protocol, validates message type, routes to processNodestateEvent\n```\n\n#### **processNodestateEvent** (lines 380-425)\n```\nPurpose: Processes the actual node state update logic\nInput: CCMessage object from line protocol decoder\nValidation: Extracts event field, parses JSON\nDatabase Op: Batch updates node states via repository\nLogging: Debug-level logging of update counts\n```\n\n---\n\n### 2. MESSAGE FORMAT SPECIFICATION\n\n**Line Protocol Format:**\n```\nnodestate event=\"{...JSON payload...}\" \n```\n\n**JSON Payload Structure (UpdateNodeStatesRequest):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n Nodes []schema.NodePayload `json:\"nodes\"`\n Cluster string `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload Structure (schema.NodePayload):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 49-58)\n\n```go\ntype NodePayload struct {\n Hostname string `json:\"hostname\"` // Node hostname\n States []string `json:\"states\"` // State strings (flexible format)\n CpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n MemoryAllocated int64 `json:\"memoryAllocated\"` // Allocated memory in MB\n GpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n JobsRunning int `json:\"jobsRunning\"` // Number of running jobs\n}\n```\n\n**Example Message:**\n```\nnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node001\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000\n```\n\n---\n\n### 3. VALIDATION AND BUSINESS LOGIC\n\n#### **State Determination (determineState function)**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 37-55)\n\nMaps string state values to SchedulerState enum:\n- `\"allocated\"` → `NodeStateAllocated`\n- `\"reserved\"` → `NodeStateReserved`\n- `\"idle\"` → `NodeStateIdle`\n- `\"down\"` → `NodeStateDown`\n- `\"mixed\"` → `NodeStateMixed`\n- Default → `NodeStateUnknown` (case-insensitive matching)\n\n#### **Validation Steps in processNodestateEvent**\n1. **Message Type Check:** Validates message is an \"event\" type (line 383-386)\n2. **JSON Parsing:** Uses `json.NewDecoder` with `DisallowUnknownFields` (line 391-396)\n3. **Line Protocol Validation:** Checks measurement name is \"nodestate\" (line 452-455)\n4. **Error Handling:** Non-fatal errors are logged; processing continues for other nodes\n\n#### **No Health Check Validation**\nUnlike REST API, NATS handler:\n- **Does NOT perform health checks** against metric store\n- **Sets HealthState to `MonitoringStateFull`** unconditionally (line 410)\n- **Does NOT include HealthMetrics** (always nil)\n\n---\n\n### 4. DATABASE OPERATIONS\n\nAll database operations are delegated to `repository.NodeRepository.BatchUpdateNodeStates()`.\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go` (lines 254-316)\n\n#### **NodeStateUpdate Structure:**\n```go\ntype NodeStateUpdate struct {\n Hostname string\n Cluster string\n NodeState *schema.NodeStateDB\n}\n```\n\n#### **NodeStateDB Structure (Database Model):**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go` (lines 70-83)\n\n```go\ntype NodeStateDB struct {\n ID int64 `db:\"id\"` // Database ID\n TimeStamp int64 `db:\"time_stamp\"` // Unix timestamp\n NodeState SchedulerState `db:\"node_state\"` // Scheduler state\n HealthState MonitoringState `db:\"health_state\"` // Monitoring health\n HealthMetrics string `db:\"health_metrics\"` // JSON health data\n CpusAllocated int `db:\"cpus_allocated\"` // Allocated CPUs\n MemoryAllocated int64 `db:\"memory_allocated\"` // Allocated memory\n GpusAllocated int `db:\"gpus_allocated\"` // Allocated GPUs\n JobsRunning int `db:\"jobs_running\"` // Running jobs\n NodeID int64 `db:\"node_id\"` // Foreign key to node table\n}\n```\n\n#### **BatchUpdateNodeStates Transaction Flow:**\n\n1. **Begin Transaction** (line 258)\n2. **Prepare Statements** (lines 264-280):\n - Node lookup query\n - Node insert statement\n - Node state insert statement\n3. **For Each Node Update** (lines 282-310):\n - **Lookup node** by hostname + cluster\n - **If not found:**\n - Get subcluster via `archive.GetSubClusterByNode()`\n - Create new node row with `NamedNodeInsert`\n - **If found or created:**\n - Insert node state row with `NamedNodeStateInsert`\n4. **Commit Transaction** (line 312)\n\n#### **Error Handling:**\n- Individual node errors are logged but don't prevent processing of other nodes\n- Errors logged at `ERROR` level (cclog.Errorf)\n- Transaction continues despite individual node failures\n\n#### **Timestamp Assignment:**\n- Uses `time.Now().Unix()` as the request received time (line 399)\n- This becomes the `TimeStamp` for all node state records in the batch\n\n---\n\n### 5. KEY DIFFERENCES FROM REST IMPLEMENTATION\n\n| Aspect | REST API | NATS API |\n|--------|----------|----------|\n| **Input Protocol** | HTTP POST/PUT with JSON body | NATS message with InfluxDB line protocol |\n| **Health Checks** | YES - performs health checks against metric store | NO - skips health checks entirely |\n| **Health State Value** | Determined from health check results or defaults to \"failed\" | Always set to `MonitoringStateFull` |\n| **Health Metrics** | Populated from health check results | Always empty/nil |\n| **Message Parsing** | Direct JSON decode from HTTP body | Line protocol decode → JSON extraction |\n| **Concurrency** | Single handler | Worker pool (default 2 workers, configurable) |\n| **Response** | HTTP response sent back to client | No response (async, fire-and-forget) |\n| **Error Handling** | Errors returned in HTTP response | Errors logged only, no client notification |\n| **Request Timestamp** | `time.Now().Unix()` at processing time | `time.Now().Unix()` at processing time (same) |\n| **Timeout Handling** | HTTP timeout from HTTP client | Channel-based with configurable concurrency |\n\n---\n\n### 6. CONFIGURATION\n\n**NATS Subject Configuration:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go` (lines 117-122)\n\n```go\ntype NATSConfig struct {\n SubjectJobEvent string `json:\"subject-job-event\"`\n SubjectNodeState string `json:\"subject-node-state\"`\n JobConcurrency int `json:\"job-concurrency\"`\n NodeConcurrency int `json:\"node-concurrency\"`\n}\n```\n\n**config.json Example:**\n```json\n{\n \"main\": {\n \"api-subjects\": {\n \"subject-node-state\": \"cc.node.state\",\n \"node-concurrency\": 2\n }\n }\n}\n```\n\n**Worker Pool Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 79-109)\n\n```\nDefault Concurrency: 2 node workers, 8 job workers\nConfigurable via: config.Keys.APISubjects.NodeConcurrency\nBuffering: Messages buffered in channels (size = concurrency level)\n```\n\n---\n\n### 7. INTEGRATION POINTS\n\n#### **Subscription Setup:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` (lines 125-153)\n\n```\nStartSubscriptions():\n - Gets NATS client\n - Subscribes to SubjectNodeState\n - Routes messages to nodeCh channel\n - Workers consume messages asynchronously\n```\n\n#### **REST vs NATS Toggle:**\nLocation: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` (lines 87-93)\n\nThe REST job start/stop endpoints are disabled when NATS subjects are configured:\n```go\nif config.Keys.APISubjects == nil {\n cclog.Info(\"Enabling REST start/stop job API\")\n r.Post(\"/jobs/start_job/\", api.startJob)\n r.Put(\"/jobs/start_job/\", api.startJob)\n r.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n r.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n}\n```\n\nThe node state endpoint is **always enabled** (not conditional):\n```go\nr.Post(\"/nodestate/\", api.updateNodeStates)\nr.Put(\"/nodestate/\", api.updateNodeStates)\n```\n\n---\n\n### 8. TESTING COVERAGE\n\nComprehensive test suite in `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go`:\n\n- **TestNatsHandleNodeState** (lines 589-647): Valid updates, multiple nodes, invalid JSON, empty data\n- **TestNatsHandleNodeStateEdgeCases** (lines 828-876): Missing fields, malformed JSON, unicode, large batches, timestamp handling\n- **TestNatsProcessJobEvent** (lines 649-740): Message routing and validation\n- **TestNatsHandleStartJob** & **TestNatsHandleStopJob**: Job lifecycle tests\n\n---\n\n### SUMMARY\n\nThe NATS node state handler is a **simplified, async version** of the REST endpoint that:\n- Trades **health check coverage** for **performance** (no metric store queries)\n- Uses **worker pool concurrency** for throughput\n- Applies **the same state determination logic** as REST\n- Performs **batch database operations** with transactional safety\n- Logs all errors but continues processing (fire-and-forget semantics)\n- Always marks nodes as `MonitoringStateFull` without validation\n\nThis design is suitable for trusted, internal monitoring systems where the health check is performed elsewhere before sending state updates."}],"totalDurationMs":73543,"totalTokens":57779,"totalToolUseCount":18,"usage":{"input_tokens":2,"cache_creation_input_tokens":1327,"cache_read_input_tokens":53525,"output_tokens":2925,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1327},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"3203afb5-ee26-4663-93fb-0bc28379de94","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"f8af4b78-f8e9-49ca-a695-0ab60425315c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","toolUseID":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","timestamp":"2026-03-16T10:58:53.251Z","uuid":"0a9a3160-938b-4f29-8df3-d58263c3f06f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"b0e68af7-9cdb-43ed-8a32-76f33d8c6a94","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X8yQzW7qnoAKt2G4Yh2S2m","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a comprehensive analysis document:\n\n## Comprehensive Analysis of UpdateNodeStates REST Implementation\n\nBased on my thorough analysis of the cc-backend codebase, here is the complete documentation of the REST implementation for updating node states:\n\n### 1. ENDPOINT REGISTRATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go`\n\nThe UpdateNodeStates endpoint is registered in two places:\n\n1. **MountAPIRoutes()** (line 84-85) - Primary API routes:\n ```go\n r.Post(\"/nodestate/\", api.updateNodeStates)\n r.Put(\"/nodestate/\", api.updateNodeStates)\n ```\n\n2. **MountMetricStoreAPIRoutes()** (line 134, 139) - Metric store health check:\n ```go\n r.Post(\"/healthcheck\", api.updateNodeStates)\n r.Post(\"/healthcheck/\", api.updateNodeStates)\n ```\n\nBoth POST and PUT methods are supported with identical behavior.\n\n---\n\n### 2. REQUEST FORMAT / STRUCT\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n Nodes []schema.NodePayload `json:\"nodes\"`\n Cluster string `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload structure** (from `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go`, lines 51-58):\n\n```go\ntype NodePayload struct {\n Hostname string `json:\"hostname\"` // Node hostname\n States []string `json:\"states\"` // State strings (flexible format)\n CpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n MemoryAllocated int64 `json:\"memoryAllocated\"` // Allocated memory in MB\n GpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n JobsRunning int `json:\"jobsRunning\"` // Number of running jobs\n}\n```\n\n**Example Request:**\n```json\n{\n \"cluster\": \"fritz\",\n \"nodes\": [\n {\n \"hostname\": \"node001\",\n \"states\": [\"allocated\"],\n \"cpusAllocated\": 8,\n \"memoryAllocated\": 16384,\n \"gpusAllocated\": 0,\n \"jobsRunning\": 1\n }\n ]\n}\n```\n\n---\n\n### 3. FULL HANDLER IMPLEMENTATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 57-150)\n\n```go\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n // Parse request body\n req := UpdateNodeStatesRequest{}\n if err := decode(r.Body, &req); err != nil {\n handleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n http.StatusBadRequest, rw)\n return\n }\n requestReceived := time.Now().Unix()\n repo := repository.GetNodeRepository()\n\n m := make(map[string][]string)\n metricNames := make(map[string][]string)\n healthResults := make(map[string]metricstore.HealthCheckResult)\n\n startMs := time.Now()\n\n // Step 1: Build nodeList and metricList per subcluster\n for _, node := range req.Nodes {\n if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n m[sc] = append(m[sc], node.Hostname)\n }\n }\n\n for sc := range m {\n if sc != \"\" {\n metricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n metricNames[sc] = metricListToNames(metricList)\n }\n }\n\n // Step 2: Determine which metric store to query and perform health check\n healthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n if err != nil {\n cclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n } else {\n for sc, nl := range m {\n if sc != \"\" {\n if results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n maps.Copy(healthResults, results)\n }\n }\n }\n }\n\n cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n startDB := time.Now()\n\n updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n for _, node := range req.Nodes {\n state := determineState(node.States)\n healthState := schema.MonitoringStateFailed\n var healthMetrics string\n if result, ok := healthResults[node.Hostname]; ok {\n healthState = result.State\n healthMetrics = result.HealthMetrics\n }\n nodeState := schema.NodeStateDB{\n TimeStamp: requestReceived,\n NodeState: state,\n CpusAllocated: node.CpusAllocated,\n MemoryAllocated: node.MemoryAllocated,\n GpusAllocated: node.GpusAllocated,\n HealthState: healthState,\n HealthMetrics: healthMetrics,\n JobsRunning: node.JobsRunning,\n }\n updates = append(updates, repository.NodeStateUpdate{\n Hostname: node.Hostname,\n Cluster: req.Cluster,\n NodeState: &nodeState,\n })\n }\n\n if err := repo.BatchUpdateNodeStates(updates); err != nil {\n cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n }\n\n cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n```\n\n---\n\n### 4. VALIDATION AND BUSINESS LOGIC\n\n**Step 1: Request Parsing (lines 72-78)**\n- Strict JSON parsing using `decode()` which rejects unknown fields\n- Returns `HTTP 400 BadRequest` if JSON is malformed\n- Uses `http.StatusBadRequest` error handling\n\n**Step 2: Subcluster Mapping (lines 88-93)**\n- For each node in request, determines its subcluster using `archive.GetSubClusterByNode()`\n- Builds map of `subcluster → []hostname` for batch processing\n- Silently skips nodes that can't be resolved to a subcluster\n\n**Step 3: Metric Configuration Lookup (lines 95-100)**\n- For each subcluster, retrieves metric configurations using `archive.GetMetricConfigSubCluster()`\n- Converts metric config map to list of metric names using `metricListToNames()`\n- Builds `metricNames` map for health check queries\n\n**Step 4: Health Check (lines 102-114)**\n- Retrieves health check repository using `metricdispatch.GetHealthCheckRepo()`\n- If no metric store is configured, continues gracefully with warning log\n- For each subcluster, performs health check against all nodes and metrics\n- Results are merged into `healthResults` map by hostname\n\n**Step 5: State Determination (lines 119-127)**\n- For each node, calls `determineState(node.States)` to convert states array to SchedulerState\n- Defaults health state to `schema.MonitoringStateFailed`\n- If health check results exist for the node, uses those health states/metrics\n\n**Helper Functions:**\n\n**determineState()** (lines 38-55):\n```go\nfunc determineState(states []string) schema.SchedulerState {\n for _, state := range states {\n switch strings.ToLower(state) {\n case \"allocated\":\n return schema.NodeStateAllocated\n case \"reserved\":\n return schema.NodeStateReserved\n case \"idle\":\n return schema.NodeStateIdle\n case \"down\":\n return schema.NodeStateDown\n case \"mixed\":\n return schema.NodeStateMixed\n }\n }\n return schema.NodeStateUnknown\n}\n```\n- Case-insensitive matching of state strings\n- Returns first matching known state\n- Defaults to `NodeStateUnknown` if none match\n- Assumes only one state per node\n\n**metricListToNames()** (lines 28-35):\n```go\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n names := make([]string, 0, len(metricList))\n for name := range metricList {\n names = append(names, name)\n }\n return names\n}\n```\n- Extracts metric names from metric config map\n- Returns unordered list suitable for health check queries\n\n---\n\n### 5. DATABASE OPERATIONS\n\n**NodeStateUpdate Structure** (`/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`, lines 247-252):\n\n```go\ntype NodeStateUpdate struct {\n Hostname string\n Cluster string\n NodeState *schema.NodeStateDB\n}\n```\n\n**BatchUpdateNodeStates()** (lines 254-316 of node.go):\n\nImplements transactional batch insert with the following flow:\n\n```go\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n // 1. Begin transaction\n tx, err := r.DB.Beginx()\n \n // 2. Prepare three statements within transaction:\n stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n \n // 3. For each node update:\n for _, u := range updates {\n // a. Try to lookup existing node by hostname+cluster\n var id int64\n if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n if err == sql.ErrNoRows {\n // b. If node doesn't exist, look up subcluster and insert new node\n subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n if scErr != nil {\n cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n continue\n }\n node := schema.NodeDB{\n Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n }\n res, insertErr := stmtInsertNode.Exec(&node)\n if insertErr != nil {\n cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n continue\n }\n id, _ = res.LastInsertId()\n } else {\n cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n continue\n }\n }\n \n // c. Insert node state row with the node_id\n u.NodeState.NodeID = id\n if _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n }\n }\n \n // 4. Commit transaction\n if err := tx.Commit(); err != nil {\n return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n }\n return nil\n}\n```\n\n**SQL Statements Used:**\n\n**NamedNodeInsert** (lines 176-178):\n```sql\nINSERT INTO node (hostname, cluster, subcluster)\n VALUES (:hostname, :cluster, :subcluster);\n```\n\n**NamedNodeStateInsert** (lines 199-203):\n```sql\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n cpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n VALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n :cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);\n```\n\n**Database Schema:**\n\n**node table** (migration 10_node-table.up.sql):\n```sql\nCREATE TABLE \"node\" (\n id INTEGER PRIMARY KEY,\n hostname VARCHAR(255) NOT NULL,\n cluster VARCHAR(255) NOT NULL,\n subcluster VARCHAR(255) NOT NULL,\n meta_data TEXT, -- JSON\n UNIQUE (hostname, cluster)\n);\n```\n\n**node_state table:**\n```sql\nCREATE TABLE \"node_state\" (\n id INTEGER PRIMARY KEY,\n time_stamp INTEGER NOT NULL,\n jobs_running INTEGER DEFAULT 0 NOT NULL,\n cpus_allocated INTEGER DEFAULT 0 NOT NULL,\n memory_allocated INTEGER DEFAULT 0 NOT NULL,\n gpus_allocated INTEGER DEFAULT 0 NOT NULL,\n node_state VARCHAR(255) NOT NULL\n CHECK (node_state IN ('allocated', 'reserved', 'idle', 'mixed', 'down', 'unknown')),\n health_state VARCHAR(255) NOT NULL\n CHECK (health_state IN ('full', 'partial', 'failed')),\n health_metrics TEXT, -- JSON array of strings\n node_id INTEGER,\n FOREIGN KEY (node_id) REFERENCES node (id)\n);\n```\n\n**Key Transaction Features:**\n- All node lookups and inserts/state inserts happen within a single transaction\n- Reduces lock acquisitions from 2*N to 1 for N nodes\n- Errors during individual node updates are logged but don't abort the batch\n- Uses prepared statements for efficiency\n- Defers rollback in case of errors\n\n**NodeStateDB Structure** (from schema/node.go, lines 72-83):\n```go\ntype NodeStateDB struct {\n ID int64 `db:\"id\"`\n TimeStamp int64 `db:\"time_stamp\"` // Unix timestamp (set to requestReceived)\n NodeState SchedulerState `db:\"node_state\"` // allocated/reserved/idle/mixed/down/unknown\n HealthState MonitoringState `db:\"health_state\"` // full/partial/failed\n HealthMetrics string `db:\"health_metrics\"` // JSON: {\"missing\":[...],\"degraded\":[...]}\n CpusAllocated int `db:\"cpus_allocated\"`\n MemoryAllocated int64 `db:\"memory_allocated\"`\n GpusAllocated int `db:\"gpus_allocated\"`\n JobsRunning int `db:\"jobs_running\"`\n NodeID int64 `db:\"node_id\"` // Foreign key to node(id)\n}\n```\n\n---\n\n### 6. HELPER FUNCTIONS CALLED\n\n1. **decode(r.Body, &req)** - Parses JSON request body with strict validation\n2. **repository.GetNodeRepository()** - Returns singleton NodeRepository instance\n3. **archive.GetSubClusterByNode(cluster, hostname)** - Determines subcluster from topology\n4. **archive.GetMetricConfigSubCluster(cluster, sc)** - Retrieves metric configurations\n5. **metricListToNames(metricList)** - Converts metric map to name list\n6. **metricdispatch.GetHealthCheckRepo(cluster)** - Gets health check repository for metric store\n7. **healthRepo.HealthCheck(cluster, nodes, metrics)** - Performs health check on metric store\n8. **determineState(states []string)** - Converts state string array to SchedulerState enum\n9. **repo.BatchUpdateNodeStates(updates)** - Executes transactional batch database insert\n10. **handleError()** - Returns standardized JSON error response\n\n---\n\n### 7. ERROR RESPONSES\n\n**ErrorResponse Structure**:\n```go\ntype ErrorResponse struct {\n Status string `json:\"status\"` // HTTP status text\n Error string `json:\"error\"` // Error message\n}\n```\n\n**HTTP Status Codes:**\n- **400 Bad Request** - JSON parsing failed\n- **401 Unauthorized** - No authentication token or invalid token\n- **403 Forbidden** - User lacks required permissions\n- **500 Internal Server Error** - Database operations fail\n\n**Note:** The current implementation does NOT return an error response on successful completion. It logs errors but doesn't fail the HTTP request when individual node updates fail during batch operations.\n\n---\n\n### 8. TIMING AND LOGGING\n\nThe endpoint records performance metrics:\n- `Timer updateNodeStates, MemStore HealthCheck: ` - Health check query time\n- `Timer updateNodeStates, SQLite Inserts: ` - Database transaction time\n- Error logging at WARN level for missing metric stores\n- Error logging at ERROR level for individual node failures during batch operations\n- Debug logging for state update completion\n\n---\n\nThis comprehensive implementation provides efficient batch processing of node state updates with transaction support, health check integration, and graceful error handling."},{"type":"text","text":"agentId: ab03c542dd3b3a6c0 (for resuming to continue this agent's work if needed)\ntotal_tokens: 53155\ntool_uses: 25\nduration_ms: 103232"}]}]},"uuid":"d8b4a287-89e0-4626-92f5-fad9bc183b03","timestamp":"2026-03-16T10:58:53.249Z","toolUseResult":{"status":"completed","prompt":"Find and thoroughly analyze the REST implementation for updating node states in the cc-backend project. Look in internal/api/ for the REST handler. I need:\n1. The full implementation of the UpdateNodeStates REST endpoint\n2. The request format/struct it expects\n3. All validation and business logic\n4. Database operations performed\n5. Any helper functions called\n\nSearch in internal/api/rest.go and related files. Also check internal/repository/ for any node-related repository methods used.","agentId":"ab03c542dd3b3a6c0","content":[{"type":"text","text":"Perfect! Now I have all the information I need. Let me create a comprehensive analysis document:\n\n## Comprehensive Analysis of UpdateNodeStates REST Implementation\n\nBased on my thorough analysis of the cc-backend codebase, here is the complete documentation of the REST implementation for updating node states:\n\n### 1. ENDPOINT REGISTRATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go`\n\nThe UpdateNodeStates endpoint is registered in two places:\n\n1. **MountAPIRoutes()** (line 84-85) - Primary API routes:\n ```go\n r.Post(\"/nodestate/\", api.updateNodeStates)\n r.Put(\"/nodestate/\", api.updateNodeStates)\n ```\n\n2. **MountMetricStoreAPIRoutes()** (line 134, 139) - Metric store health check:\n ```go\n r.Post(\"/healthcheck\", api.updateNodeStates)\n r.Post(\"/healthcheck/\", api.updateNodeStates)\n ```\n\nBoth POST and PUT methods are supported with identical behavior.\n\n---\n\n### 2. REQUEST FORMAT / STRUCT\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 23-26)\n\n```go\ntype UpdateNodeStatesRequest struct {\n Nodes []schema.NodePayload `json:\"nodes\"`\n Cluster string `json:\"cluster\" example:\"fritz\"`\n}\n```\n\n**NodePayload structure** (from `/Users/jan/prg/ClusterCockpit/cc-lib/schema/node.go`, lines 51-58):\n\n```go\ntype NodePayload struct {\n Hostname string `json:\"hostname\"` // Node hostname\n States []string `json:\"states\"` // State strings (flexible format)\n CpusAllocated int `json:\"cpusAllocated\"` // Number of allocated CPUs\n MemoryAllocated int64 `json:\"memoryAllocated\"` // Allocated memory in MB\n GpusAllocated int `json:\"gpusAllocated\"` // Number of allocated GPUs\n JobsRunning int `json:\"jobsRunning\"` // Number of running jobs\n}\n```\n\n**Example Request:**\n```json\n{\n \"cluster\": \"fritz\",\n \"nodes\": [\n {\n \"hostname\": \"node001\",\n \"states\": [\"allocated\"],\n \"cpusAllocated\": 8,\n \"memoryAllocated\": 16384,\n \"gpusAllocated\": 0,\n \"jobsRunning\": 1\n }\n ]\n}\n```\n\n---\n\n### 3. FULL HANDLER IMPLEMENTATION\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go` (lines 57-150)\n\n```go\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n // Parse request body\n req := UpdateNodeStatesRequest{}\n if err := decode(r.Body, &req); err != nil {\n handleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n http.StatusBadRequest, rw)\n return\n }\n requestReceived := time.Now().Unix()\n repo := repository.GetNodeRepository()\n\n m := make(map[string][]string)\n metricNames := make(map[string][]string)\n healthResults := make(map[string]metricstore.HealthCheckResult)\n\n startMs := time.Now()\n\n // Step 1: Build nodeList and metricList per subcluster\n for _, node := range req.Nodes {\n if sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n m[sc] = append(m[sc], node.Hostname)\n }\n }\n\n for sc := range m {\n if sc != \"\" {\n metricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n metricNames[sc] = metricListToNames(metricList)\n }\n }\n\n // Step 2: Determine which metric store to query and perform health check\n healthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n if err != nil {\n cclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n } else {\n for sc, nl := range m {\n if sc != \"\" {\n if results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n maps.Copy(healthResults, results)\n }\n }\n }\n }\n\n cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n startDB := time.Now()\n\n updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n for _, node := range req.Nodes {\n state := determineState(node.States)\n healthState := schema.MonitoringStateFailed\n var healthMetrics string\n if result, ok := healthResults[node.Hostname]; ok {\n healthState = result.State\n healthMetrics = result.HealthMetrics\n }\n nodeState := schema.NodeStateDB{\n TimeStamp: requestReceived,\n NodeState: state,\n CpusAllocated: node.CpusAllocated,\n MemoryAllocated: node.MemoryAllocated,\n GpusAllocated: node.GpusAllocated,\n HealthState: healthState,\n HealthMetrics: healthMetrics,\n JobsRunning: node.JobsRunning,\n }\n updates = append(updates, repository.NodeStateUpdate{\n Hostname: node.Hostname,\n Cluster: req.Cluster,\n NodeState: &nodeState,\n })\n }\n\n if err := repo.BatchUpdateNodeStates(updates); err != nil {\n cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n }\n\n cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n```\n\n---\n\n### 4. VALIDATION AND BUSINESS LOGIC\n\n**Step 1: Request Parsing (lines 72-78)**\n- Strict JSON parsing using `decode()` which rejects unknown fields\n- Returns `HTTP 400 BadRequest` if JSON is malformed\n- Uses `http.StatusBadRequest` error handling\n\n**Step 2: Subcluster Mapping (lines 88-93)**\n- For each node in request, determines its subcluster using `archive.GetSubClusterByNode()`\n- Builds map of `subcluster → []hostname` for batch processing\n- Silently skips nodes that can't be resolved to a subcluster\n\n**Step 3: Metric Configuration Lookup (lines 95-100)**\n- For each subcluster, retrieves metric configurations using `archive.GetMetricConfigSubCluster()`\n- Converts metric config map to list of metric names using `metricListToNames()`\n- Builds `metricNames` map for health check queries\n\n**Step 4: Health Check (lines 102-114)**\n- Retrieves health check repository using `metricdispatch.GetHealthCheckRepo()`\n- If no metric store is configured, continues gracefully with warning log\n- For each subcluster, performs health check against all nodes and metrics\n- Results are merged into `healthResults` map by hostname\n\n**Step 5: State Determination (lines 119-127)**\n- For each node, calls `determineState(node.States)` to convert states array to SchedulerState\n- Defaults health state to `schema.MonitoringStateFailed`\n- If health check results exist for the node, uses those health states/metrics\n\n**Helper Functions:**\n\n**determineState()** (lines 38-55):\n```go\nfunc determineState(states []string) schema.SchedulerState {\n for _, state := range states {\n switch strings.ToLower(state) {\n case \"allocated\":\n return schema.NodeStateAllocated\n case \"reserved\":\n return schema.NodeStateReserved\n case \"idle\":\n return schema.NodeStateIdle\n case \"down\":\n return schema.NodeStateDown\n case \"mixed\":\n return schema.NodeStateMixed\n }\n }\n return schema.NodeStateUnknown\n}\n```\n- Case-insensitive matching of state strings\n- Returns first matching known state\n- Defaults to `NodeStateUnknown` if none match\n- Assumes only one state per node\n\n**metricListToNames()** (lines 28-35):\n```go\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n names := make([]string, 0, len(metricList))\n for name := range metricList {\n names = append(names, name)\n }\n return names\n}\n```\n- Extracts metric names from metric config map\n- Returns unordered list suitable for health check queries\n\n---\n\n### 5. DATABASE OPERATIONS\n\n**NodeStateUpdate Structure** (`/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`, lines 247-252):\n\n```go\ntype NodeStateUpdate struct {\n Hostname string\n Cluster string\n NodeState *schema.NodeStateDB\n}\n```\n\n**BatchUpdateNodeStates()** (lines 254-316 of node.go):\n\nImplements transactional batch insert with the following flow:\n\n```go\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n // 1. Begin transaction\n tx, err := r.DB.Beginx()\n \n // 2. Prepare three statements within transaction:\n stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n \n // 3. For each node update:\n for _, u := range updates {\n // a. Try to lookup existing node by hostname+cluster\n var id int64\n if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n if err == sql.ErrNoRows {\n // b. If node doesn't exist, look up subcluster and insert new node\n subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n if scErr != nil {\n cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n continue\n }\n node := schema.NodeDB{\n Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n }\n res, insertErr := stmtInsertNode.Exec(&node)\n if insertErr != nil {\n cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n continue\n }\n id, _ = res.LastInsertId()\n } else {\n cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n continue\n }\n }\n \n // c. Insert node state row with the node_id\n u.NodeState.NodeID = id\n if _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n }\n }\n \n // 4. Commit transaction\n if err := tx.Commit(); err != nil {\n return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n }\n return nil\n}\n```\n\n**SQL Statements Used:**\n\n**NamedNodeInsert** (lines 176-178):\n```sql\nINSERT INTO node (hostname, cluster, subcluster)\n VALUES (:hostname, :cluster, :subcluster);\n```\n\n**NamedNodeStateInsert** (lines 199-203):\n```sql\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n cpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n VALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n :cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);\n```\n\n**Database Schema:**\n\n**node table** (migration 10_node-table.up.sql):\n```sql\nCREATE TABLE \"node\" (\n id INTEGER PRIMARY KEY,\n hostname VARCHAR(255) NOT NULL,\n cluster VARCHAR(255) NOT NULL,\n subcluster VARCHAR(255) NOT NULL,\n meta_data TEXT, -- JSON\n UNIQUE (hostname, cluster)\n);\n```\n\n**node_state table:**\n```sql\nCREATE TABLE \"node_state\" (\n id INTEGER PRIMARY KEY,\n time_stamp INTEGER NOT NULL,\n jobs_running INTEGER DEFAULT 0 NOT NULL,\n cpus_allocated INTEGER DEFAULT 0 NOT NULL,\n memory_allocated INTEGER DEFAULT 0 NOT NULL,\n gpus_allocated INTEGER DEFAULT 0 NOT NULL,\n node_state VARCHAR(255) NOT NULL\n CHECK (node_state IN ('allocated', 'reserved', 'idle', 'mixed', 'down', 'unknown')),\n health_state VARCHAR(255) NOT NULL\n CHECK (health_state IN ('full', 'partial', 'failed')),\n health_metrics TEXT, -- JSON array of strings\n node_id INTEGER,\n FOREIGN KEY (node_id) REFERENCES node (id)\n);\n```\n\n**Key Transaction Features:**\n- All node lookups and inserts/state inserts happen within a single transaction\n- Reduces lock acquisitions from 2*N to 1 for N nodes\n- Errors during individual node updates are logged but don't abort the batch\n- Uses prepared statements for efficiency\n- Defers rollback in case of errors\n\n**NodeStateDB Structure** (from schema/node.go, lines 72-83):\n```go\ntype NodeStateDB struct {\n ID int64 `db:\"id\"`\n TimeStamp int64 `db:\"time_stamp\"` // Unix timestamp (set to requestReceived)\n NodeState SchedulerState `db:\"node_state\"` // allocated/reserved/idle/mixed/down/unknown\n HealthState MonitoringState `db:\"health_state\"` // full/partial/failed\n HealthMetrics string `db:\"health_metrics\"` // JSON: {\"missing\":[...],\"degraded\":[...]}\n CpusAllocated int `db:\"cpus_allocated\"`\n MemoryAllocated int64 `db:\"memory_allocated\"`\n GpusAllocated int `db:\"gpus_allocated\"`\n JobsRunning int `db:\"jobs_running\"`\n NodeID int64 `db:\"node_id\"` // Foreign key to node(id)\n}\n```\n\n---\n\n### 6. HELPER FUNCTIONS CALLED\n\n1. **decode(r.Body, &req)** - Parses JSON request body with strict validation\n2. **repository.GetNodeRepository()** - Returns singleton NodeRepository instance\n3. **archive.GetSubClusterByNode(cluster, hostname)** - Determines subcluster from topology\n4. **archive.GetMetricConfigSubCluster(cluster, sc)** - Retrieves metric configurations\n5. **metricListToNames(metricList)** - Converts metric map to name list\n6. **metricdispatch.GetHealthCheckRepo(cluster)** - Gets health check repository for metric store\n7. **healthRepo.HealthCheck(cluster, nodes, metrics)** - Performs health check on metric store\n8. **determineState(states []string)** - Converts state string array to SchedulerState enum\n9. **repo.BatchUpdateNodeStates(updates)** - Executes transactional batch database insert\n10. **handleError()** - Returns standardized JSON error response\n\n---\n\n### 7. ERROR RESPONSES\n\n**ErrorResponse Structure**:\n```go\ntype ErrorResponse struct {\n Status string `json:\"status\"` // HTTP status text\n Error string `json:\"error\"` // Error message\n}\n```\n\n**HTTP Status Codes:**\n- **400 Bad Request** - JSON parsing failed\n- **401 Unauthorized** - No authentication token or invalid token\n- **403 Forbidden** - User lacks required permissions\n- **500 Internal Server Error** - Database operations fail\n\n**Note:** The current implementation does NOT return an error response on successful completion. It logs errors but doesn't fail the HTTP request when individual node updates fail during batch operations.\n\n---\n\n### 8. TIMING AND LOGGING\n\nThe endpoint records performance metrics:\n- `Timer updateNodeStates, MemStore HealthCheck: ` - Health check query time\n- `Timer updateNodeStates, SQLite Inserts: ` - Database transaction time\n- Error logging at WARN level for missing metric stores\n- Error logging at ERROR level for individual node failures during batch operations\n- Debug logging for state update completion\n\n---\n\nThis comprehensive implementation provides efficient batch processing of node state updates with transaction support, health check integration, and graceful error 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+{"parentUuid":"dbc5434c-a107-41ff-8101-7020c39ee2e8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VqNJxq46iwN1on5uhwmXTX","toolUseID":"toolu_01VqNJxq46iwN1on5uhwmXTX","timestamp":"2026-03-16T10:59:04.787Z","uuid":"3305d435-884b-43ed-9fad-a6c4483b52b5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"dbc5434c-a107-41ff-8101-7020c39ee2e8","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VqNJxq46iwN1on5uhwmXTX","type":"tool_result","content":" 375→\t}\n 376→\n 377→\tarchiver.TriggerArchiving(job)\n 378→}\n 379→\n 380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 381→// Updates node states in the repository for all nodes in the payload.\n 382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 383→\tv, ok := msg.GetEventValue()\n 384→\tif !ok {\n 385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 386→\t\treturn\n 387→\t}\n 388→\n 389→\tvar req UpdateNodeStatesRequest\n 390→\n 391→\tdec := json.NewDecoder(strings.NewReader(v))\n 392→\tdec.DisallowUnknownFields()\n 393→\tif err := dec.Decode(&req); err != nil {\n 394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 395→\t\treturn\n 396→\t}\n 397→\n 398→\trepo := repository.GetNodeRepository()\n 399→\trequestReceived := time.Now().Unix()\n 400→\n 401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 402→\tfor _, node := range req.Nodes {\n 403→\t\tstate := determineState(node.States)\n 404→\t\tnodeState := schema.NodeStateDB{\n 405→\t\t\tTimeStamp: requestReceived,\n 406→\t\t\tNodeState: state,\n 407→\t\t\tCpusAllocated: node.CpusAllocated,\n 408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 409→\t\t\tGpusAllocated: node.GpusAllocated,\n 410→\t\t\tHealthState: schema.MonitoringStateFull,\n 411→\t\t\tJobsRunning: node.JobsRunning,\n 412→\t\t}\n 413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 414→\t\t\tHostname: node.Hostname,\n 415→\t\t\tCluster: req.Cluster,\n 416→\t\t\tNodeState: &nodeState,\n 417→\t\t})\n 418→\t}\n 419→\n 420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n 422→\t}\n 423→\n 424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 425→}\n 426→\n 427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 429→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 430→//\n 431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 433→\tif len(data) == 0 {\n 434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 435→\t\treturn\n 436→\t}\n 437→\n 438→\td := influx.NewDecoderWithBytes(data)\n 439→\n 440→\tfor d.Next() {\n 441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 442→\t\tif err != nil {\n 443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 444→\t\t\treturn\n 445→\t\t}\n 446→\n 447→\t\tif !m.IsEvent() {\n 448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 449→\t\t\tcontinue\n 450→\t\t}\n 451→\n 452→\t\tif m.Name() == \"nodestate\" {\n 453→\t\t\tapi.processNodestateEvent(m)\n 454→\t\t} else {\n 455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 456→\t\t}\n 457→\t}\n 458→}\n 459→"}]},"uuid":"eb9f953a-1cf5-4bfc-80c8-7c2a860b946e","timestamp":"2026-03-16T10:59:04.787Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":85,"startLine":375,"totalLines":459}},"sourceToolAssistantUUID":"dbc5434c-a107-41ff-8101-7020c39ee2e8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 120→\tfor _, node := range req.Nodes {\n 121→\t\tstate := determineState(node.States)\n 122→\t\thealthState := schema.MonitoringStateFailed\n 123→\t\tvar healthMetrics string\n 124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 125→\t\t\thealthState = result.State\n 126→\t\t\thealthMetrics = result.HealthMetrics\n 127→\t\t}\n 128→\t\tnodeState := schema.NodeStateDB{\n 129→\t\t\tTimeStamp: requestReceived,\n 130→\t\t\tNodeState: state,\n 131→\t\t\tCpusAllocated: node.CpusAllocated,\n 132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 133→\t\t\tGpusAllocated: node.GpusAllocated,\n 134→\t\t\tHealthState: healthState,\n 135→\t\t\tHealthMetrics: healthMetrics,\n 136→\t\t\tJobsRunning: node.JobsRunning,\n 137→\t\t}\n 138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 139→\t\t\tHostname: node.Hostname,\n 140→\t\t\tCluster: req.Cluster,\n 141→\t\t\tNodeState: &nodeState,\n 142→\t\t})\n 143→\t}\n 144→\n 145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n 147→\t}\n 148→\n 149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 150→}\n 151→"}]},"uuid":"d5e076ac-aa42-47c1-8d88-ddab85375c6d","timestamp":"2026-03-16T10:59:05.015Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":151,"startLine":1,"totalLines":151}},"sourceToolAssistantUUID":"b1e8cb87-5b65-4326-804d-1ab752119f3c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"d4a273da-eaa6-4025-bcb4-63fb8e38a6ec","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01KuJpDeS11wMEEn8Vvu1gMa","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the NATS file imports to understand what's already available."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":6660,"cache_read_input_tokens":24876,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":6660},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eAwt8VEcXNnfJKHyro","type":"assistant","uuid":"20f2fc04-0975-449d-8cd4-3c803e84cae5","timestamp":"2026-03-16T10:59:11.510Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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+{"parentUuid":"a4c80774-b820-47c2-9683-14fe48de24d1","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_011ZLAPntFdNjpn9qptw6Fdb","toolUseID":"toolu_011ZLAPntFdNjpn9qptw6Fdb","timestamp":"2026-03-16T10:59:12.039Z","uuid":"5272b44b-9440-4ea5-8770-19fd71876020","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"a4c80774-b820-47c2-9683-14fe48de24d1","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011ZLAPntFdNjpn9qptw6Fdb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n 28→type natsMessage struct {\n 29→\tsubject string\n 30→\tdata []byte"}]},"uuid":"20d06b92-8be9-4f9e-a04d-0509761ec92c","timestamp":"2026-03-16T10:59:12.039Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte","numLines":30,"startLine":1,"totalLines":459}},"sourceToolAssistantUUID":"a4c80774-b820-47c2-9683-14fe48de24d1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"20d06b92-8be9-4f9e-a04d-0509761ec92c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01B6d6pV6XF6gGee6TfGnuSk","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the information needed. Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":757,"cache_read_input_tokens":31536,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":757},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eBTsgHG4XbLQgwyqio","type":"assistant","uuid":"2787f86f-04d1-4979-bfa6-929ff6f76e1c","timestamp":"2026-03-16T10:59:16.558Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"type":"file-history-snapshot","messageId":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","snapshot":{"messageId":"09ec75b2-7da0-4429-b211-6dc487abaae0","trackedFileBackups":{"/Users/jan/.claude/plans/magical-sauteeing-gosling.md":{"backupFileName":null,"version":1,"backupTime":"2026-03-16T10:59:30.232Z"}},"timestamp":"2026-03-16T10:57:01.781Z"},"isSnapshotUpdate":true} +{"parentUuid":"2787f86f-04d1-4979-bfa6-929ff6f76e1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01B6d6pV6XF6gGee6TfGnuSk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012hyVeBU6VGyyqVoZjCcTr9","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","content":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":757,"cache_read_input_tokens":31536,"output_tokens":872,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":757,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eBTsgHG4XbLQgwyqio","type":"assistant","uuid":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","timestamp":"2026-03-16T10:59:30.226Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_012hyVeBU6VGyyqVoZjCcTr9","toolUseID":"toolu_012hyVeBU6VGyyqVoZjCcTr9","timestamp":"2026-03-16T10:59:30.234Z","uuid":"dc67e7db-0bb6-4032-b6a4-c53d3ead3212","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012hyVeBU6VGyyqVoZjCcTr9","type":"tool_result","content":"File created successfully at: /Users/jan/.claude/plans/magical-sauteeing-gosling.md"}]},"uuid":"4ad28045-c725-4b8d-90f7-2c16310fee68","timestamp":"2026-03-16T10:59:30.233Z","toolUseResult":{"type":"create","filePath":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","content":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"b2a9d4bf-2917-4f9e-8a17-22db758428e3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4ad28045-c725-4b8d-90f7-2c16310fee68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01JBLytcaTVFJfaRq6jWNy3g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01R2cKhqfJSKTpg8PZE2bGiG","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":909,"cache_read_input_tokens":32293,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":909,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eCotUbeUo2VTHov6fS","type":"assistant","uuid":"a5a2c06f-de1e-4613-b857-c89decaf75ea","timestamp":"2026-03-16T10:59:34.891Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"a5a2c06f-de1e-4613-b857-c89decaf75ea","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01R2cKhqfJSKTpg8PZE2bGiG","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"4fd516b1-fc56-44c3-a303-1e68a44a40e8","timestamp":"2026-03-16T10:59:34.897Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"a5a2c06f-de1e-4613-b857-c89decaf75ea","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4fd516b1-fc56-44c3-a303-1e68a44a40e8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017PFk7MSuBLg9VYXjYmZUcR","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me re-read the existing plan and the current state of the files to see if anything has changed."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1179,"cache_read_input_tokens":33202,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1179},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eD9h6Ln1j5ZRLBa7gc","type":"assistant","uuid":"fcb10a37-9dc8-4aa6-9d15-bd4c110e18a1","timestamp":"2026-03-16T10:59:39.070Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} 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health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n 6→\n 7→1. Groups nodes by subcluster\n 8→2. Fetches metric configurations per subcluster\n 9→3. Runs health checks against the metric store\n 10→4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n 11→\n 12→This means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n 13→\n 14→## Changes\n 15→\n 16→### File: `internal/api/nats.go`\n 17→\n 18→**1. Add missing imports:**\n 19→- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n 20→- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n 21→- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n 22→\n 23→**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n 24→\n 25→- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n 26→ - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n 27→ - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n 28→ - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n 29→ - Run `healthRepo.HealthCheck()` per subcluster, merge results\n 30→- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n 31→\n 32→### Reused existing functions (no new code needed):\n 33→- `determineState()` — already shared (`internal/api/node.go:38`)\n 34→- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n 35→- `archive.GetSubClusterByNode()` — from `pkg/archive`\n 36→- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n 37→- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n 38→- `repo.BatchUpdateNodeStates()` — already used\n 39→\n 40→## Verification\n 41→\n 42→1. `go build ./...` — ensure it compiles\n 43→2. `go test ./internal/api/...` — run existing NATS tests\n 44→3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n 45→4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n 46→"}]},"uuid":"4d83f216-69f0-463a-9b7d-cee61ef9c373","timestamp":"2026-03-16T10:59:39.563Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","content":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","numLines":46,"startLine":1,"totalLines":46}},"sourceToolAssistantUUID":"64cd6bce-9b14-4137-9411-13cd341921a5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"4d83f216-69f0-463a-9b7d-cee61ef9c373","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017PFk7MSuBLg9VYXjYmZUcR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013tyLAEtparS4pj63xuP1FR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","offset":375,"limit":85},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1179,"cache_read_input_tokens":33202,"output_tokens":191,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1179,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eD9h6Ln1j5ZRLBa7gc","type":"assistant","uuid":"1f800444-d7fe-4855-b236-13bd70c04804","timestamp":"2026-03-16T10:59:40.191Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"1f800444-d7fe-4855-b236-13bd70c04804","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013tyLAEtparS4pj63xuP1FR","toolUseID":"toolu_013tyLAEtparS4pj63xuP1FR","timestamp":"2026-03-16T10:59:40.204Z","uuid":"caa7b248-2dc8-49b5-a86d-235be1025418","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"1f800444-d7fe-4855-b236-13bd70c04804","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013tyLAEtparS4pj63xuP1FR","type":"tool_result","content":" 375→\t}\n 376→\n 377→\tarchiver.TriggerArchiving(job)\n 378→}\n 379→\n 380→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 381→// Updates node states in the repository for all nodes in the payload.\n 382→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 383→\tv, ok := msg.GetEventValue()\n 384→\tif !ok {\n 385→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 386→\t\treturn\n 387→\t}\n 388→\n 389→\tvar req UpdateNodeStatesRequest\n 390→\n 391→\tdec := json.NewDecoder(strings.NewReader(v))\n 392→\tdec.DisallowUnknownFields()\n 393→\tif err := dec.Decode(&req); err != nil {\n 394→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 395→\t\treturn\n 396→\t}\n 397→\n 398→\trepo := repository.GetNodeRepository()\n 399→\trequestReceived := time.Now().Unix()\n 400→\n 401→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 402→\tfor _, node := range req.Nodes {\n 403→\t\tstate := determineState(node.States)\n 404→\t\tnodeState := schema.NodeStateDB{\n 405→\t\t\tTimeStamp: requestReceived,\n 406→\t\t\tNodeState: state,\n 407→\t\t\tCpusAllocated: node.CpusAllocated,\n 408→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 409→\t\t\tGpusAllocated: node.GpusAllocated,\n 410→\t\t\tHealthState: schema.MonitoringStateFull,\n 411→\t\t\tJobsRunning: node.JobsRunning,\n 412→\t\t}\n 413→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 414→\t\t\tHostname: node.Hostname,\n 415→\t\t\tCluster: req.Cluster,\n 416→\t\t\tNodeState: &nodeState,\n 417→\t\t})\n 418→\t}\n 419→\n 420→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 421→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n 422→\t}\n 423→\n 424→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 425→}\n 426→\n 427→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 428→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 429→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 430→//\n 431→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 432→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 433→\tif len(data) == 0 {\n 434→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 435→\t\treturn\n 436→\t}\n 437→\n 438→\td := influx.NewDecoderWithBytes(data)\n 439→\n 440→\tfor d.Next() {\n 441→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 442→\t\tif err != nil {\n 443→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 444→\t\t\treturn\n 445→\t\t}\n 446→\n 447→\t\tif !m.IsEvent() {\n 448→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 449→\t\t\tcontinue\n 450→\t\t}\n 451→\n 452→\t\tif m.Name() == \"nodestate\" {\n 453→\t\t\tapi.processNodestateEvent(m)\n 454→\t\t} else {\n 455→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 456→\t\t}\n 457→\t}\n 458→}\n 459→"}]},"uuid":"54f7bd51-3034-4a63-b9c0-d0c07ebd8e27","timestamp":"2026-03-16T10:59:40.204Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":85,"startLine":375,"totalLines":459}},"sourceToolAssistantUUID":"1f800444-d7fe-4855-b236-13bd70c04804","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"54f7bd51-3034-4a63-b9c0-d0c07ebd8e27","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016HK72E23wtY2GkjXA8qnzi","type":"message","role":"assistant","content":[{"type":"text","text":"The existing plan is still the same task and the code hasn't changed. The plan looks correct and complete. Let me also add the `\"maps\"` import which is needed for `maps.Copy`, then finalize."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2338,"cache_read_input_tokens":34381,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2338},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6eDYXn7hJMdPwboQKSr","type":"assistant","uuid":"95914a97-fda0-478f-a685-b06dc91a2a49","timestamp":"2026-03-16T10:59:46.266Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"95914a97-fda0-478f-a685-b06dc91a2a49","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016HK72E23wtY2GkjXA8qnzi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01URgnB9MnM8zGyJNade5rqx","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","old_string":"**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`","new_string":"**1. Add missing imports:**\n- `\"maps\"`\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2338,"cache_read_input_tokens":34381,"output_tokens":319,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2338,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eDYXn7hJMdPwboQKSr","type":"assistant","uuid":"1a48fe6a-2a98-42e1-81c5-67666cda4cbd","timestamp":"2026-03-16T10:59:48.326Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"1a48fe6a-2a98-42e1-81c5-67666cda4cbd","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01URgnB9MnM8zGyJNade5rqx","toolUseID":"toolu_01URgnB9MnM8zGyJNade5rqx","timestamp":"2026-03-16T10:59:48.344Z","uuid":"4a680258-a331-418f-859a-42d2bb2fc7f9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"1a48fe6a-2a98-42e1-81c5-67666cda4cbd","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01URgnB9MnM8zGyJNade5rqx","type":"tool_result","content":"The file /Users/jan/.claude/plans/magical-sauteeing-gosling.md has been updated successfully."}]},"uuid":"d7293457-6fb7-4654-a9ee-1c6912d98b5b","timestamp":"2026-03-16T10:59:48.344Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md","oldString":"**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`","newString":"**1. Add missing imports:**\n- `\"maps\"`\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`","originalFile":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","structuredPatch":[{"oldStart":16,"oldLines":6,"newStart":16,"newLines":7,"lines":[" ### File: `internal/api/nats.go`"," "," **1. Add missing imports:**","+- `\"maps\"`"," - `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`"," - `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`"," - `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1a48fe6a-2a98-42e1-81c5-67666cda4cbd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"d7293457-6fb7-4654-a9ee-1c6912d98b5b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011UG8LgohkG6dR5hds3Pm6L","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018VwHVqHr4dsSor9y7QWEWP","name":"ExitPlanMode","input":{"plan":"# Plan: Add Health Check to NATS Node State Handler\n\n## Context\n\nThe NATS `processNodestateEvent` handler in `internal/api/nats.go` is missing the health check logic that the REST `updateNodeStates` handler in `internal/api/node.go` has. Currently, the NATS handler hardcodes `HealthState: schema.MonitoringStateFull` and leaves `HealthMetrics` empty, while the REST handler:\n\n1. Groups nodes by subcluster\n2. Fetches metric configurations per subcluster\n3. Runs health checks against the metric store\n4. Uses health check results per node (defaulting to `MonitoringStateFailed` if unavailable)\n\nThis means node state updates via NATS always report full health regardless of actual metric availability, producing inconsistent data compared to the REST path.\n\n## Changes\n\n### File: `internal/api/nats.go`\n\n**1. Add missing imports:**\n- `\"maps\"`\n- `\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/archive\"`\n- `\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"`\n\n**2. Rewrite `processNodestateEvent` (lines 382-425)** to match the REST handler logic:\n\n- After parsing the request, add the same health check flow from `updateNodeStates` (node.go lines 82-114):\n - Build `map[subcluster][]hostname` using `archive.GetSubClusterByNode()`\n - Build `metricNames` per subcluster using `archive.GetMetricConfigSubCluster()` + `metricListToNames()`\n - Get health check repo via `metricdispatch.GetHealthCheckRepo(req.Cluster)`\n - Run `healthRepo.HealthCheck()` per subcluster, merge results\n- When building `NodeStateDB`, default `HealthState` to `MonitoringStateFailed` (not `MonitoringStateFull`) and use health check results when available — identical to REST handler (node.go lines 120-143)\n\n### Reused existing functions (no new code needed):\n- `determineState()` — already shared (`internal/api/node.go:38`)\n- `metricListToNames()` — already shared (`internal/api/node.go:29`)\n- `archive.GetSubClusterByNode()` — from `pkg/archive`\n- `archive.GetMetricConfigSubCluster()` — from `pkg/archive`\n- `metricdispatch.GetHealthCheckRepo()` — from `internal/metricdispatch`\n- `repo.BatchUpdateNodeStates()` — already used\n\n## Verification\n\n1. `go build ./...` — ensure it compiles\n2. `go test ./internal/api/...` — run existing NATS tests\n3. Review that `TestNatsHandleNodeState` and `TestNatsHandleNodeStateEdgeCases` still pass (they don't assert on HealthState values, so should be fine)\n4. Manual comparison: the node-building loop in NATS should now be identical to REST (node.go lines 119-143)\n","planFilePath":"/Users/jan/.claude/plans/magical-sauteeing-gosling.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":472,"cache_read_input_tokens":36719,"output_tokens":38,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":472,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6eE96A5vmmYgKiCsBkH","type":"assistant","uuid":"fce9845e-1048-43bc-a68d-03369a856cf0","timestamp":"2026-03-16T10:59:52.053Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"fce9845e-1048-43bc-a68d-03369a856cf0","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.","is_error":true,"tool_use_id":"toolu_018VwHVqHr4dsSor9y7QWEWP"}]},"uuid":"e2f41e88-f1f3-484c-a97c-01485cc90007","timestamp":"2026-03-16T11:01:41.158Z","toolUseResult":"User rejected tool use","sourceToolAssistantUUID":"fce9845e-1048-43bc-a68d-03369a856cf0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} +{"parentUuid":"e2f41e88-f1f3-484c-a97c-01485cc90007","isSidechain":false,"promptId":"c2bc230a-67ed-4f5e-b42f-f832728effa2","type":"user","message":{"role":"user","content":[{"type":"text","text":"[Request interrupted by user for tool use]"}]},"uuid":"75406ece-b3d7-4f17-a9b6-efa888eeb5a1","timestamp":"2026-03-16T11:01:41.159Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3","version":"2.1.76","gitBranch":"hotfix","slug":"magical-sauteeing-gosling"} diff --git a/3a/40b75edd68/2/metadata.json b/3a/40b75edd68/2/metadata.json new file mode 100644 index 00000000..99ac9670 --- /dev/null +++ b/3a/40b75edd68/2/metadata.json @@ -0,0 +1,31 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "3a40b75edd68", + "session_id": "aac4ddda-7b73-4e7a-ab7b-75bbf24e26b3", + "strategy": "manual-commit", + "created_at": "2026-03-16T11:13:15.681706Z", + "branch": "hotfix", + "checkpoints_count": 0, + "files_touched": [ + "internal/api/nats.go", + "internal/config/config.go" + ], + "agent": "Claude Code", + "turn_id": "e8636e709833", + "token_usage": { + "input_tokens": 3027, + "cache_creation_tokens": 28441, + "cache_read_tokens": 221504, + "output_tokens": 2427, + "api_call_count": 8 + }, + "initial_attribution": { + "calculated_at": "2026-03-16T11:13:15.553928Z", + "agent_lines": 104, + "human_added": 24, + "human_modified": 0, + "human_removed": 0, + "total_committed": 128, + "agent_percentage": 81.25 + } +} diff --git a/3a/40b75edd68/2/prompt.txt b/3a/40b75edd68/2/prompt.txt new file mode 100644 index 00000000..a42f6b85 --- /dev/null +++ b/3a/40b75edd68/2/prompt.txt @@ -0,0 +1 @@ +Compare and analyze the UpdateNodestate REST vs NATS implementations and provide an identical functionality in NATS compared to REST. \ No newline at end of file diff --git a/3a/40b75edd68/3/content_hash.txt b/3a/40b75edd68/3/content_hash.txt new file mode 100644 index 00000000..d4d2dd31 --- /dev/null +++ b/3a/40b75edd68/3/content_hash.txt @@ -0,0 +1 @@ +sha256:512eb6903e0902e97f3a5683c713f6a43e0713d4879cc2685213baf78d199e0f \ No newline at end of file diff --git a/3a/40b75edd68/3/full.jsonl b/3a/40b75edd68/3/full.jsonl new file mode 100644 index 00000000..7459d42f --- /dev/null +++ b/3a/40b75edd68/3/full.jsonl @@ -0,0 +1,77 @@ +{"type":"file-history-snapshot","messageId":"50ecf7f6-67a3-478d-90d6-62ff0daa6725","snapshot":{"messageId":"50ecf7f6-67a3-478d-90d6-62ff0daa6725","trackedFileBackups":{},"timestamp":"2026-03-16T10:50:55.709Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"a9c1c604-57dc-494d-937c-ec8546f636c6","toolUseID":"a9c1c604-57dc-494d-937c-ec8546f636c6","timestamp":"2026-03-16T10:50:55.661Z","uuid":"9423b340-30a9-424b-a34f-390446ca7833","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"9423b340-30a9-424b-a34f-390446ca7833","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# NATS API Throughput Improvements: Configurable Semaphores, Queue Groups, Channel-Based Subscriptions\n\n## Context\n\nThe NATS API has hardcoded semaphore sizes (8 job, 2 node), uses basic `Subscribe()` instead of queue groups, and directly processes messages in NATS callbacks. These limit throughput and scalability.\n\n## Changes\n\n### 1. Configurable semaphore sizes — `internal/config/config.go`\n\nAdd `JobConcurrency` and `NodeConcurrency` fields to `NATSConfig`:\n\n```go\ntype NATSConfig struct {\n SubjectJobEvent string `json:\"subject-job-event\"`\n SubjectNodeState string `json:\"subject-node-state\"`\n QueueGroup string `json:\"queue-group\"`\n JobConcurrency int `json:\"job-concurrency\"`\n NodeConcurrency int `json:\"node-concurrency\"`\n}\n```\n\nDefaults: `JobConcurrency=8`, `NodeConcurrency=2`, `QueueGroup=\"\"` (empty = no queue group for backward compat).\n\n### 2. Queue groups — `internal/api/nats.go`\n\nIn `StartSubscriptions()`, use `SubscribeQueue()` when `QueueGroup` is configured, otherwise fall back to `Subscribe()`. This enables horizontal scaling across multiple cc-backend instances.\n\n### 3. Channel-based subscriptions with worker pool — `internal/api/nats.go`\n\nReplace direct `Subscribe`/`SubscribeQueue` callback model with `SubscribeChan()` + buffered channels + worker goroutines. This:\n- Adds a Go-side buffer (configurable via semaphore size) between NATS delivery and processing\n- Decouples NATS message delivery from processing\n- Workers draw from the channel, applying the same semaphore-like concurrency via channel capacity + worker count\n\nArchitecture:\n```\nNATS server → SubscribeChan(buffered chan) → N worker goroutines → process message\n```\n\nThe number of workers = `JobConcurrency` / `NodeConcurrency`. The channel buffer provides additional absorb capacity for bursts.\n\n### Files to modify\n\n- `internal/config/config.go:117-120` — add fields to `NATSConfig`\n- `internal/api/nats.go` — rework `NewNatsAPI`, `StartSubscriptions`, replace semaphore pattern with channel workers\n- `internal/api/nats_test.go` — update `setupNatsTest` to set new config, tests should still pass\n\n### Verification\n\n- `go build ./...`\n- `go test ./internal/api/...` — all existing tests must pass\n- `go vet ./internal/api/...`\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/96740167-cb62-4e9b-a401-4dce5f9ae536.jsonl"},"uuid":"50ecf7f6-67a3-478d-90d6-62ff0daa6725","timestamp":"2026-03-16T10:50:55.515Z","planContent":"# NATS API Throughput Improvements: Configurable Semaphores, Queue Groups, Channel-Based Subscriptions\n\n## Context\n\nThe NATS API has hardcoded semaphore sizes (8 job, 2 node), uses basic `Subscribe()` instead of queue groups, and directly processes messages in NATS callbacks. These limit throughput and scalability.\n\n## Changes\n\n### 1. Configurable semaphore sizes — `internal/config/config.go`\n\nAdd `JobConcurrency` and `NodeConcurrency` fields to `NATSConfig`:\n\n```go\ntype NATSConfig struct {\n SubjectJobEvent string `json:\"subject-job-event\"`\n SubjectNodeState string `json:\"subject-node-state\"`\n QueueGroup string `json:\"queue-group\"`\n JobConcurrency int `json:\"job-concurrency\"`\n NodeConcurrency int `json:\"node-concurrency\"`\n}\n```\n\nDefaults: `JobConcurrency=8`, `NodeConcurrency=2`, `QueueGroup=\"\"` (empty = no queue group for backward compat).\n\n### 2. Queue groups — `internal/api/nats.go`\n\nIn `StartSubscriptions()`, use `SubscribeQueue()` when `QueueGroup` is configured, otherwise fall back to `Subscribe()`. This enables horizontal scaling across multiple cc-backend instances.\n\n### 3. Channel-based subscriptions with worker pool — `internal/api/nats.go`\n\nReplace direct `Subscribe`/`SubscribeQueue` callback model with `SubscribeChan()` + buffered channels + worker goroutines. This:\n- Adds a Go-side buffer (configurable via semaphore size) between NATS delivery and processing\n- Decouples NATS message delivery from processing\n- Workers draw from the channel, applying the same semaphore-like concurrency via channel capacity + worker count\n\nArchitecture:\n```\nNATS server → SubscribeChan(buffered chan) → N worker goroutines → process message\n```\n\nThe number of workers = `JobConcurrency` / `NodeConcurrency`. The channel buffer provides additional absorb capacity for bursts.\n\n### Files to modify\n\n- `internal/config/config.go:117-120` — add fields to `NATSConfig`\n- `internal/api/nats.go` — rework `NewNatsAPI`, `StartSubscriptions`, replace semaphore pattern with channel workers\n- `internal/api/nats_test.go` — update `setupNatsTest` to set new config, tests should still pass\n\n### Verification\n\n- `go build ./...`\n- `go test ./internal/api/...` — all existing tests must pass\n- `go vet ./internal/api/...`\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"50ecf7f6-67a3-478d-90d6-62ff0daa6725","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DvU9C9pDfKiDNSRyMdQwAk","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me start by reading the relevant files to understand the current implementation."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4554,"cache_read_input_tokens":14304,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4554},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dYt7v61YzY2Y2qLH73","type":"assistant","uuid":"612904ff-6fb2-40bb-891d-99892e496395","timestamp":"2026-03-16T10:50:58.659Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"612904ff-6fb2-40bb-891d-99892e496395","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DvU9C9pDfKiDNSRyMdQwAk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T2v5Tm8kPbHJxS6MPCt1dr","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4554,"cache_read_input_tokens":14304,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4554},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dYt7v61YzY2Y2qLH73","type":"assistant","uuid":"c413343b-ab3c-4a93-bcb8-14d1fb769e6f","timestamp":"2026-03-16T10:50:59.124Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"c413343b-ab3c-4a93-bcb8-14d1fb769e6f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01T2v5Tm8kPbHJxS6MPCt1dr","toolUseID":"toolu_01T2v5Tm8kPbHJxS6MPCt1dr","timestamp":"2026-03-16T10:50:59.130Z","uuid":"178d0353-20ce-44df-9ad6-6dae2fb962dd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"c413343b-ab3c-4a93-bcb8-14d1fb769e6f","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T2v5Tm8kPbHJxS6MPCt1dr","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package config implements the program configuration data structures, validation and parsing\n 7→package config\n 8→\n 9→import (\n 10→\t\"bytes\"\n 11→\t\"encoding/json\"\n 12→\t\"time\"\n 13→\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 16→)\n 17→\n 18→type ProgramConfig struct {\n 19→\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n 20→\tAddr string `json:\"addr\"`\n 21→\n 22→\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n 23→\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n 24→\n 25→\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n 26→\n 27→\t// Drop root permissions once .env was read and the port was taken.\n 28→\tUser string `json:\"user\"`\n 29→\tGroup string `json:\"group\"`\n 30→\n 31→\t// Disable authentication (for everything: API, Web-UI, ...)\n 32→\tDisableAuthentication bool `json:\"disable-authentication\"`\n 33→\n 34→\t// If `embed-static-files` is true (default), the frontend files are directly\n 35→\t// embeded into the go binary and expected to be in web/frontend. Only if\n 36→\t// it is false the files in `static-files` are served instead.\n 37→\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n 38→\tStaticFiles string `json:\"static-files\"`\n 39→\n 40→\t// Path to SQLite database file\n 41→\tDB string `json:\"db\"`\n 42→\n 43→\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n 44→\n 45→\t// Validate json input against schema\n 46→\tValidate bool `json:\"validate\"`\n 47→\n 48→\t// If 0 or empty, the session does not expire!\n 49→\tSessionMaxAge string `json:\"session-max-age\"`\n 50→\n 51→\t// If both those options are not empty, use HTTPS using those certificates.\n 52→\tHTTPSCertFile string `json:\"https-cert-file\"`\n 53→\tHTTPSKeyFile string `json:\"https-key-file\"`\n 54→\n 55→\t// If not the empty string and `addr` does not end in \":80\",\n 56→\t// redirect every request incoming at port 80 to that url.\n 57→\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n 58→\n 59→\t// Where to store MachineState files\n 60→\tMachineStateDir string `json:\"machine-state-dir\"`\n 61→\n 62→\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n 63→\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n 64→\n 65→\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n 66→\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n 67→\n 68→\t// Energy Mix CO2 Emission Constant [g/kWh]\n 69→\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n 70→\tEmissionConstant int `json:\"emission-constant\"`\n 71→\n 72→\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n 73→\tEnableResampling *ResampleConfig `json:\"resampling\"`\n 74→\n 75→\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n 76→\tSystemdUnit string `json:\"systemd-unit\"`\n 77→\n 78→\t// Node state retention configuration\n 79→\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n 80→\n 81→\t// Database tuning configuration\n 82→\tDbConfig *DbConfig `json:\"db-config\"`\n 83→}\n 84→\n 85→type DbConfig struct {\n 86→\tCacheSizeMB int `json:\"cache-size-mb\"`\n 87→\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n 88→\tMaxOpenConnections int `json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n 92→}\n 93→\n 94→type NodeStateRetention struct {\n 95→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 96→\tAge int `json:\"age\"` // hours, default 24\n 97→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 98→\tTargetPath string `json:\"target-path\"`\n 99→\tTargetEndpoint string `json:\"target-endpoint\"`\n 100→\tTargetBucket string `json:\"target-bucket\"`\n 101→\tTargetAccessKey string `json:\"target-access-key\"`\n 102→\tTargetSecretKey string `json:\"target-secret-key\"`\n 103→\tTargetRegion string `json:\"target-region\"`\n 104→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 105→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 106→}\n 107→\n 108→type ResampleConfig struct {\n 109→\t// Minimum number of points to trigger resampling of data\n 110→\tMinimumPoints int `json:\"minimum-points\"`\n 111→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 112→\tResolutions []int `json:\"resolutions\"`\n 113→\t// Trigger next zoom level at less than this many visible datapoints\n 114→\tTrigger int `json:\"trigger\"`\n 115→}\n 116→\n 117→type NATSConfig struct {\n 118→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 119→\tSubjectNodeState string `json:\"subject-node-state\"`\n 120→}\n 121→\n 122→type IntRange struct {\n 123→\tFrom int `json:\"from\"`\n 124→\tTo int `json:\"to\"`\n 125→}\n 126→\n 127→type TimeRange struct {\n 128→\tFrom *time.Time `json:\"from\"`\n 129→\tTo *time.Time `json:\"to\"`\n 130→\tRange string `json:\"range,omitempty\"`\n 131→}\n 132→\n 133→type FilterRanges struct {\n 134→\tDuration *IntRange `json:\"duration\"`\n 135→\tNumNodes *IntRange `json:\"num-nodes\"`\n 136→\tStartTime *TimeRange `json:\"start-time\"`\n 137→}\n 138→\n 139→var Keys ProgramConfig = ProgramConfig{\n 140→\tAddr: \"localhost:8080\",\n 141→\tEmbedStaticFiles: true,\n 142→\tDB: \"./var/job.db\",\n 143→\tSessionMaxAge: \"168h\",\n 144→\tStopJobsExceedingWalltime: 0,\n 145→\tShortRunningJobsDuration: 5 * 60,\n 146→}\n 147→\n 148→func Init(mainConfig json.RawMessage) {\n 149→\tValidate(configSchema, mainConfig)\n 150→\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n 151→\tdec.DisallowUnknownFields()\n 152→\tif err := dec.Decode(&Keys); err != nil {\n 153→\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n 154→\t}\n 155→\n 156→\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n 157→\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n 158→\t}\n 159→}\n 160→"}]},"uuid":"14c2066f-ff16-46fe-91f1-331efe4580fa","timestamp":"2026-03-16T10:50:59.130Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","numLines":160,"startLine":1,"totalLines":160}},"sourceToolAssistantUUID":"c413343b-ab3c-4a93-bcb8-14d1fb769e6f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"14c2066f-ff16-46fe-91f1-331efe4580fa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DvU9C9pDfKiDNSRyMdQwAk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YPWWA5ktAETM7uGAAxrjmX","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4554,"cache_read_input_tokens":14304,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4554},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dYt7v61YzY2Y2qLH73","type":"assistant","uuid":"a6f808f5-8c35-4ef8-84ae-b847fc9759af","timestamp":"2026-03-16T10:50:59.562Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"a6f808f5-8c35-4ef8-84ae-b847fc9759af","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01YPWWA5ktAETM7uGAAxrjmX","toolUseID":"toolu_01YPWWA5ktAETM7uGAAxrjmX","timestamp":"2026-03-16T10:50:59.566Z","uuid":"07bab1a4-dfe9-4d8d-ba77-76a7019a17f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"a6f808f5-8c35-4ef8-84ae-b847fc9759af","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPWWA5ktAETM7uGAAxrjmX","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n 68→\t// when the database is under contention.\n 69→\tjobSem chan struct{}\n 70→\t// nodeSem limits concurrent NATS node state processing.\n 71→\tnodeSem chan struct{}\n 72→}\n 73→\n 74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 75→func NewNatsAPI() *NatsAPI {\n 76→\treturn &NatsAPI{\n 77→\t\tJobRepository: repository.GetJobRepository(),\n 78→\t\tjobSem: make(chan struct{}, 8),\n 79→\t\tnodeSem: make(chan struct{}, 2),\n 80→\t}\n 81→}\n 82→\n 83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 84→// Returns an error if the NATS client is not available or subscription fails.\n 85→func (api *NatsAPI) StartSubscriptions() error {\n 86→\tclient := nats.GetClient()\n 87→\tif client == nil {\n 88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 89→\t\treturn nil\n 90→\t}\n 91→\n 92→\tif config.Keys.APISubjects != nil {\n 93→\n 94→\t\ts := config.Keys.APISubjects\n 95→\n 96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 101→\t\t\treturn err\n 102→\t\t}\n 103→\n 104→\t\tcclog.Info(\"NATS API subscriptions started\")\n 105→\t}\n 106→\treturn nil\n 107→}\n 108→\n 109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 110→// Validates that required tags and fields are present before processing.\n 111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 112→\tfunction, ok := msg.GetTag(\"function\")\n 113→\tif !ok {\n 114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 115→\t\treturn\n 116→\t}\n 117→\n 118→\tswitch function {\n 119→\tcase \"start_job\":\n 120→\t\tv, ok := msg.GetEventValue()\n 121→\t\tif !ok {\n 122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 123→\t\t\treturn\n 124→\t\t}\n 125→\t\tapi.handleStartJob(v)\n 126→\n 127→\tcase \"stop_job\":\n 128→\t\tv, ok := msg.GetEventValue()\n 129→\t\tif !ok {\n 130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 131→\t\t\treturn\n 132→\t\t}\n 133→\t\tapi.handleStopJob(v)\n 134→\n 135→\tdefault:\n 136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 137→\t}\n 138→}\n 139→\n 140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 141→// The message must be in line protocol format with measurement=\"job\" and include:\n 142→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 143→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 144→//\n 145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 147→\tapi.jobSem <- struct{}{}\n 148→\tdefer func() { <-api.jobSem }()\n 149→\n 150→\tif len(data) == 0 {\n 151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 152→\t\treturn\n 153→\t}\n 154→\n 155→\td := influx.NewDecoderWithBytes(data)\n 156→\n 157→\tfor d.Next() {\n 158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 159→\t\tif err != nil {\n 160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 161→\t\t\treturn\n 162→\t\t}\n 163→\n 164→\t\tif !m.IsEvent() {\n 165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 166→\t\t\tcontinue\n 167→\t\t}\n 168→\n 169→\t\tif m.Name() == \"job\" {\n 170→\t\t\tapi.processJobEvent(m)\n 171→\t\t} else {\n 172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 173→\t\t}\n 174→\t}\n 175→}\n 176→\n 177→// handleStartJob processes job start messages received via NATS.\n 178→// The payload parameter contains JSON following the schema.Job structure.\n 179→// Jobs are validated, checked for duplicates, and inserted into the database.\n 180→func (api *NatsAPI) handleStartJob(payload string) {\n 181→\tif payload == \"\" {\n 182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 183→\t\treturn\n 184→\t}\n 185→\treq := schema.Job{\n 186→\t\tShared: \"none\",\n 187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 188→\t}\n 189→\n 190→\tdec := json.NewDecoder(strings.NewReader(payload))\n 191→\tdec.DisallowUnknownFields()\n 192→\tif err := dec.Decode(&req); err != nil {\n 193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 194→\t\treturn\n 195→\t}\n 196→\n 197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 198→\treq.State = schema.JobStateRunning\n 199→\n 200→\tif err := importer.SanityChecks(&req); err != nil {\n 201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 202→\t\treturn\n 203→\t}\n 204→\n 205→\tvar unlockOnce sync.Once\n 206→\tapi.RepositoryMutex.Lock()\n 207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 208→\n 209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 210→\tif err != nil && err != sql.ErrNoRows {\n 211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 212→\t\treturn\n 213→\t}\n 214→\tif err == nil {\n 215→\t\tfor _, job := range jobs {\n 216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 219→\t\t\t\treturn\n 220→\t\t\t}\n 221→\t\t}\n 222→\t}\n 223→\n 224→\t// When tags are present, insert directly into the job table so that the\n 225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 226→\tvar id int64\n 227→\tif len(req.Tags) > 0 {\n 228→\t\tid, err = api.JobRepository.StartDirect(&req)\n 229→\t} else {\n 230→\t\tid, err = api.JobRepository.Start(&req)\n 231→\t}\n 232→\tif err != nil {\n 233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 234→\t\treturn\n 235→\t}\n 236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 237→\n 238→\tfor _, tag := range req.Tags {\n 239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 241→\t\t\treturn\n 242→\t\t}\n 243→\t}\n 244→\n 245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 247→}\n 248→\n 249→// handleStopJob processes job stop messages received via NATS.\n 250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 252→func (api *NatsAPI) handleStopJob(payload string) {\n 253→\tif payload == \"\" {\n 254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 255→\t\treturn\n 256→\t}\n 257→\tvar req StopJobAPIRequest\n 258→\n 259→\tdec := json.NewDecoder(strings.NewReader(payload))\n 260→\tdec.DisallowUnknownFields()\n 261→\tif err := dec.Decode(&req); err != nil {\n 262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 263→\t\treturn\n 264→\t}\n 265→\n 266→\tif req.JobID == nil {\n 267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 268→\t\treturn\n 269→\t}\n 270→\n 271→\tisCached := false\n 272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 273→\tif err != nil {\n 274→\t\t// Not in cache, try main job table\n 275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 276→\t\tif err != nil {\n 277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 278→\t\t\treturn\n 279→\t\t}\n 280→\t} else {\n 281→\t\tisCached = true\n 282→\t}\n 283→\n 284→\tif job.State != schema.JobStateRunning {\n 285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 287→\t\treturn\n 288→\t}\n 289→\n 290→\tif job.StartTime > req.StopTime {\n 291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 293→\t\treturn\n 294→\t}\n 295→\n 296→\tif req.State != \"\" && !req.State.Valid() {\n 297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 299→\t\treturn\n 300→\t} else if req.State == \"\" {\n 301→\t\treq.State = schema.JobStateCompleted\n 302→\t}\n 303→\n 304→\tjob.Duration = int32(req.StopTime - job.StartTime)\n 305→\tjob.State = req.State\n 306→\tapi.JobRepository.Mutex.Lock()\n 307→\tdefer api.JobRepository.Mutex.Unlock()\n 308→\n 309→\t// If the job is still in job_cache, transfer it to the job table first\n 310→\tif isCached {\n 311→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n 312→\t\tif err != nil {\n 313→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n 314→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n 315→\t\t\treturn\n 316→\t\t}\n 317→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n 318→\t\tjob.ID = &newID\n 319→\t}\n 320→\n 321→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n 322→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n 323→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n 324→\t\treturn\n 325→\t}\n 326→\n 327→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n 328→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n 329→\n 330→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n 331→\t\treturn\n 332→\t}\n 333→\n 334→\tarchiver.TriggerArchiving(job)\n 335→}\n 336→\n 337→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 338→// Updates node states in the repository for all nodes in the payload.\n 339→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 340→\tv, ok := msg.GetEventValue()\n 341→\tif !ok {\n 342→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 343→\t\treturn\n 344→\t}\n 345→\n 346→\tvar req UpdateNodeStatesRequest\n 347→\n 348→\tdec := json.NewDecoder(strings.NewReader(v))\n 349→\tdec.DisallowUnknownFields()\n 350→\tif err := dec.Decode(&req); err != nil {\n 351→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 352→\t\treturn\n 353→\t}\n 354→\n 355→\trepo := repository.GetNodeRepository()\n 356→\trequestReceived := time.Now().Unix()\n 357→\n 358→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 359→\tfor _, node := range req.Nodes {\n 360→\t\tstate := determineState(node.States)\n 361→\t\tnodeState := schema.NodeStateDB{\n 362→\t\t\tTimeStamp: requestReceived,\n 363→\t\t\tNodeState: state,\n 364→\t\t\tCpusAllocated: node.CpusAllocated,\n 365→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 366→\t\t\tGpusAllocated: node.GpusAllocated,\n 367→\t\t\tHealthState: schema.MonitoringStateFull,\n 368→\t\t\tJobsRunning: node.JobsRunning,\n 369→\t\t}\n 370→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 371→\t\t\tHostname: node.Hostname,\n 372→\t\t\tCluster: req.Cluster,\n 373→\t\t\tNodeState: &nodeState,\n 374→\t\t})\n 375→\t}\n 376→\n 377→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 378→\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n 379→\t}\n 380→\n 381→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 382→}\n 383→\n 384→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 385→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 386→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 387→//\n 388→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 389→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 390→\tapi.nodeSem <- struct{}{}\n 391→\tdefer func() { <-api.nodeSem }()\n 392→\n 393→\tif len(data) == 0 {\n 394→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 395→\t\treturn\n 396→\t}\n 397→\n 398→\td := influx.NewDecoderWithBytes(data)\n 399→\n 400→\tfor d.Next() {\n 401→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 402→\t\tif err != nil {\n 403→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 404→\t\t\treturn\n 405→\t\t}\n 406→\n 407→\t\tif !m.IsEvent() {\n 408→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 409→\t\t\tcontinue\n 410→\t\t}\n 411→\n 412→\t\tif m.Name() == \"nodestate\" {\n 413→\t\t\tapi.processNodestateEvent(m)\n 414→\t\t} else {\n 415→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 416→\t\t}\n 417→\t}\n 418→}\n 419→"}]},"uuid":"6e4cea44-fa83-4f16-a40f-4664f221c019","timestamp":"2026-03-16T10:50:59.566Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":419,"startLine":1,"totalLines":419}},"sourceToolAssistantUUID":"a6f808f5-8c35-4ef8-84ae-b847fc9759af","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"6e4cea44-fa83-4f16-a40f-4664f221c019","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DvU9C9pDfKiDNSRyMdQwAk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GGPNfPQDrtZ2pjC8hdkK1N","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4554,"cache_read_input_tokens":14304,"output_tokens":217,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4554,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dYt7v61YzY2Y2qLH73","type":"assistant","uuid":"7aafecec-1756-456c-9a0e-de007dab36ea","timestamp":"2026-03-16T10:50:59.887Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"7aafecec-1756-456c-9a0e-de007dab36ea","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01GGPNfPQDrtZ2pjC8hdkK1N","toolUseID":"toolu_01GGPNfPQDrtZ2pjC8hdkK1N","timestamp":"2026-03-16T10:50:59.890Z","uuid":"d8b445f0-3869-4958-9b45-fe7b15bc77b6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"7aafecec-1756-456c-9a0e-de007dab36ea","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GGPNfPQDrtZ2pjC8hdkK1N","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package api\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"testing\"\n 15→\t\"time\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 24→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\n 29→\t_ \"github.com/mattn/go-sqlite3\"\n 30→)\n 31→\n 32→func setupNatsTest(t *testing.T) *NatsAPI {\n 33→\trepository.ResetConnection()\n 34→\n 35→\tconst testconfig = `{\n 36→\t\t\"main\": {\n 37→\t\"addr\": \"0.0.0.0:8080\",\n 38→\t\"validate\": false,\n 39→ \"api-allowed-ips\": [\n 40→ \"*\"\n 41→ ]\n 42→\t},\n 43→\t\"archive\": {\n 44→\t\t\"kind\": \"file\",\n 45→\t\t\"path\": \"./var/job-archive\"\n 46→\t},\n 47→\t\"auth\": {\n 48→ \"jwts\": {\n 49→ \"max-age\": \"2m\"\n 50→ }\n 51→\t}\n 52→}`\n 53→\tconst testclusterJSON = `{\n 54→ \"name\": \"testcluster\",\n 55→\t\t\"subClusters\": [\n 56→\t\t\t{\n 57→\t\t\t\t\"name\": \"sc1\",\n 58→\t\t\t\t\"nodes\": \"host123,host124,host125\",\n 59→\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n 60→\t\t\t\t\"socketsPerNode\": 1,\n 61→\t\t\t\t\"coresPerSocket\": 4,\n 62→\t\t\t\t\"threadsPerCore\": 2,\n 63→ \"flopRateScalar\": {\n 64→ \"unit\": {\n 65→ \"prefix\": \"G\",\n 66→ \"base\": \"F/s\"\n 67→ },\n 68→ \"value\": 14\n 69→ },\n 70→ \"flopRateSimd\": {\n 71→ \"unit\": {\n 72→ \"prefix\": \"G\",\n 73→ \"base\": \"F/s\"\n 74→ },\n 75→ \"value\": 112\n 76→ },\n 77→ \"memoryBandwidth\": {\n 78→ \"unit\": {\n 79→ \"prefix\": \"G\",\n 80→ \"base\": \"B/s\"\n 81→ },\n 82→ \"value\": 24\n 83→ },\n 84→ \"numberOfNodes\": 70,\n 85→\t\t\t\t\"topology\": {\n 86→\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n 87→\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 88→\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 89→\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n 90→\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n 91→\t\t\t\t}\n 92→\t\t\t}\n 93→\t\t],\n 94→\t\t\"metricConfig\": [\n 95→\t\t\t{\n 96→\t\t\t\t\"name\": \"load_one\",\n 97→\t\t\t \"unit\": { \"base\": \"\"},\n 98→\t\t\t\t\"scope\": \"node\",\n 99→\t\t\t\t\"timestep\": 60,\n 100→ \"aggregation\": \"avg\",\n 101→\t\t\t\t\"peak\": 8,\n 102→\t\t\t\t\"normal\": 0,\n 103→\t\t\t\t\"caution\": 0,\n 104→\t\t\t\t\"alert\": 0\n 105→\t\t\t}\n 106→\t\t]\n 107→\t}`\n 108→\n 109→\tcclog.Init(\"info\", true)\n 110→\ttmpdir := t.TempDir()\n 111→\tjobarchive := filepath.Join(tmpdir, \"job-archive\")\n 112→\tif err := os.Mkdir(jobarchive, 0o777); err != nil {\n 113→\t\tt.Fatal(err)\n 114→\t}\n 115→\n 116→\tif err := os.WriteFile(filepath.Join(jobarchive, \"version.txt\"), fmt.Appendf(nil, \"%d\", 3), 0o666); err != nil {\n 117→\t\tt.Fatal(err)\n 118→\t}\n 119→\n 120→\tif err := os.Mkdir(filepath.Join(jobarchive, \"testcluster\"), 0o777); err != nil {\n 121→\t\tt.Fatal(err)\n 122→\t}\n 123→\n 124→\tif err := os.WriteFile(filepath.Join(jobarchive, \"testcluster\", \"cluster.json\"), []byte(testclusterJSON), 0o666); err != nil {\n 125→\t\tt.Fatal(err)\n 126→\t}\n 127→\n 128→\tdbfilepath := filepath.Join(tmpdir, \"test.db\")\n 129→\terr := repository.MigrateDB(dbfilepath)\n 130→\tif err != nil {\n 131→\t\tt.Fatal(err)\n 132→\t}\n 133→\n 134→\tcfgFilePath := filepath.Join(tmpdir, \"config.json\")\n 135→\tif err := os.WriteFile(cfgFilePath, []byte(testconfig), 0o666); err != nil {\n 136→\t\tt.Fatal(err)\n 137→\t}\n 138→\n 139→\tccconf.Init(cfgFilePath)\n 140→\n 141→\t// Load and check main configuration\n 142→\tif cfg := ccconf.GetPackageConfig(\"main\"); cfg != nil {\n 143→\t\tconfig.Init(cfg)\n 144→\t} else {\n 145→\t\tcclog.Abort(\"Main configuration must be present\")\n 146→\t}\n 147→\tarchiveCfg := fmt.Sprintf(\"{\\\"kind\\\": \\\"file\\\",\\\"path\\\": \\\"%s\\\"}\", jobarchive)\n 148→\n 149→\trepository.Connect(dbfilepath)\n 150→\n 151→\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\n 152→\t\tt.Fatal(err)\n 153→\t}\n 154→\n 155→\t// metricstore initialization removed - it's initialized via callback in tests\n 156→\n 157→\tarchiver.Start(repository.GetJobRepository(), context.Background())\n 158→\n 159→\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n 160→\t\tauth.Init(&cfg)\n 161→\t} else {\n 162→\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n 163→\t\tauth.Init(nil)\n 164→\t}\n 165→\n 166→\tgraph.Init()\n 167→\n 168→\treturn NewNatsAPI()\n 169→}\n 170→\n 171→func cleanupNatsTest() {\n 172→\tif err := archiver.Shutdown(5 * time.Second); err != nil {\n 173→\t\tcclog.Warnf(\"Archiver shutdown timeout in tests: %v\", err)\n 174→\t}\n 175→}\n 176→\n 177→func TestNatsHandleStartJob(t *testing.T) {\n 178→\tnatsAPI := setupNatsTest(t)\n 179→\tt.Cleanup(cleanupNatsTest)\n 180→\n 181→\ttests := []struct {\n 182→\t\tname string\n 183→\t\tpayload string\n 184→\t\texpectError bool\n 185→\t\tvalidateJob func(t *testing.T, job *schema.Job)\n 186→\t\tshouldFindJob bool\n 187→\t}{\n 188→\t\t{\n 189→\t\t\tname: \"valid job start\",\n 190→\t\t\tpayload: `{\n 191→\t\t\t\t\"jobId\": 1001,\n 192→\t\t\t\t\"user\": \"testuser1\",\n 193→\t\t\t\t\"project\": \"testproj1\",\n 194→\t\t\t\t\"cluster\": \"testcluster\",\n 195→\t\t\t\t\"partition\": \"main\",\n 196→\t\t\t\t\"walltime\": 7200,\n 197→\t\t\t\t\"numNodes\": 1,\n 198→\t\t\t\t\"numHwthreads\": 8,\n 199→\t\t\t\t\"numAcc\": 0,\n 200→\t\t\t\t\"shared\": \"none\",\n 201→\t\t\t\t\"monitoringStatus\": 1,\n 202→\t\t\t\t\"smt\": 1,\n 203→\t\t\t\t\"resources\": [\n 204→\t\t\t\t\t{\n 205→\t\t\t\t\t\t\"hostname\": \"host123\",\n 206→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n 207→\t\t\t\t\t}\n 208→\t\t\t\t],\n 209→\t\t\t\t\"startTime\": 1234567890\n 210→\t\t\t}`,\n 211→\t\t\texpectError: false,\n 212→\t\t\tshouldFindJob: true,\n 213→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 214→\t\t\t\tif job.JobID != 1001 {\n 215→\t\t\t\t\tt.Errorf(\"expected JobID 1001, got %d\", job.JobID)\n 216→\t\t\t\t}\n 217→\t\t\t\tif job.User != \"testuser1\" {\n 218→\t\t\t\t\tt.Errorf(\"expected user testuser1, got %s\", job.User)\n 219→\t\t\t\t}\n 220→\t\t\t\tif job.State != schema.JobStateRunning {\n 221→\t\t\t\t\tt.Errorf(\"expected state running, got %s\", job.State)\n 222→\t\t\t\t}\n 223→\t\t\t},\n 224→\t\t},\n 225→\t\t{\n 226→\t\t\tname: \"invalid JSON\",\n 227→\t\t\tpayload: `{\n 228→\t\t\t\t\"jobId\": \"not a number\",\n 229→\t\t\t\t\"user\": \"testuser2\"\n 230→\t\t\t}`,\n 231→\t\t\texpectError: true,\n 232→\t\t\tshouldFindJob: false,\n 233→\t\t},\n 234→\t\t{\n 235→\t\t\tname: \"missing required fields\",\n 236→\t\t\tpayload: `{\n 237→\t\t\t\t\"jobId\": 1002\n 238→\t\t\t}`,\n 239→\t\t\texpectError: true,\n 240→\t\t\tshouldFindJob: false,\n 241→\t\t},\n 242→\t\t{\n 243→\t\t\tname: \"job with unknown fields (should fail due to DisallowUnknownFields)\",\n 244→\t\t\tpayload: `{\n 245→\t\t\t\t\"jobId\": 1003,\n 246→\t\t\t\t\"user\": \"testuser3\",\n 247→\t\t\t\t\"project\": \"testproj3\",\n 248→\t\t\t\t\"cluster\": \"testcluster\",\n 249→\t\t\t\t\"partition\": \"main\",\n 250→\t\t\t\t\"walltime\": 3600,\n 251→\t\t\t\t\"numNodes\": 1,\n 252→\t\t\t\t\"numHwthreads\": 8,\n 253→\t\t\t\t\"unknownField\": \"should cause error\",\n 254→\t\t\t\t\"startTime\": 1234567900\n 255→\t\t\t}`,\n 256→\t\t\texpectError: true,\n 257→\t\t\tshouldFindJob: false,\n 258→\t\t},\n 259→\t\t{\n 260→\t\t\tname: \"job with tags\",\n 261→\t\t\tpayload: `{\n 262→\t\t\t\t\"jobId\": 1004,\n 263→\t\t\t\t\"user\": \"testuser4\",\n 264→\t\t\t\t\"project\": \"testproj4\",\n 265→\t\t\t\t\"cluster\": \"testcluster\",\n 266→\t\t\t\t\"partition\": \"main\",\n 267→\t\t\t\t\"walltime\": 3600,\n 268→\t\t\t\t\"numNodes\": 1,\n 269→\t\t\t\t\"numHwthreads\": 8,\n 270→\t\t\t\t\"numAcc\": 0,\n 271→\t\t\t\t\"shared\": \"none\",\n 272→\t\t\t\t\"monitoringStatus\": 1,\n 273→\t\t\t\t\"smt\": 1,\n 274→\t\t\t\t\"resources\": [\n 275→\t\t\t\t\t{\n 276→\t\t\t\t\t\t\"hostname\": \"host123\",\n 277→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 278→\t\t\t\t\t}\n 279→\t\t\t\t],\n 280→\t\t\t\t\"tags\": [\n 281→\t\t\t\t\t{\n 282→\t\t\t\t\t\t\"type\": \"test\",\n 283→\t\t\t\t\t\t\"name\": \"testtag\",\n 284→\t\t\t\t\t\t\"scope\": \"testuser4\"\n 285→\t\t\t\t\t}\n 286→\t\t\t\t],\n 287→\t\t\t\t\"startTime\": 1234567910\n 288→\t\t\t}`,\n 289→\t\t\texpectError: false,\n 290→\t\t\tshouldFindJob: true,\n 291→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 292→\t\t\t\tif job.JobID != 1004 {\n 293→\t\t\t\t\tt.Errorf(\"expected JobID 1004, got %d\", job.JobID)\n 294→\t\t\t\t}\n 295→\t\t\t},\n 296→\t\t},\n 297→\t}\n 298→\n 299→\tfor _, tt := range tests {\n 300→\t\tt.Run(tt.name, func(t *testing.T) {\n 301→\t\t\tnatsAPI.handleStartJob(tt.payload)\n 302→\t\t\tnatsAPI.JobRepository.SyncJobs()\n 303→\n 304→\t\t\t// Allow some time for async operations\n 305→\t\t\ttime.Sleep(100 * time.Millisecond)\n 306→\n 307→\t\t\tif tt.shouldFindJob {\n 308→\t\t\t\t// Extract jobId from payload\n 309→\t\t\t\tvar payloadMap map[string]any\n 310→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n 311→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n 312→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n 313→\t\t\t\tstartTime := int64(payloadMap[\"startTime\"].(float64))\n 314→\n 315→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, &startTime)\n 316→\t\t\t\tif err != nil {\n 317→\t\t\t\t\tif !tt.expectError {\n 318→\t\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n 319→\t\t\t\t\t}\n 320→\t\t\t\t\treturn\n 321→\t\t\t\t}\n 322→\n 323→\t\t\t\tif tt.validateJob != nil {\n 324→\t\t\t\t\ttt.validateJob(t, job)\n 325→\t\t\t\t}\n 326→\t\t\t}\n 327→\t\t})\n 328→\t}\n 329→}\n 330→\n 331→func TestNatsHandleStopJob(t *testing.T) {\n 332→\tnatsAPI := setupNatsTest(t)\n 333→\tt.Cleanup(cleanupNatsTest)\n 334→\n 335→\t// First, create a running job\n 336→\tstartPayload := `{\n 337→\t\t\"jobId\": 2001,\n 338→\t\t\"user\": \"testuser\",\n 339→\t\t\"project\": \"testproj\",\n 340→\t\t\"cluster\": \"testcluster\",\n 341→\t\t\"partition\": \"main\",\n 342→\t\t\"walltime\": 3600,\n 343→\t\t\"numNodes\": 1,\n 344→\t\t\"numHwthreads\": 8,\n 345→\t\t\"numAcc\": 0,\n 346→\t\t\"shared\": \"none\",\n 347→\t\t\"monitoringStatus\": 1,\n 348→\t\t\"smt\": 1,\n 349→\t\t\"resources\": [\n 350→\t\t\t{\n 351→\t\t\t\t\"hostname\": \"host123\",\n 352→\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n 353→\t\t\t}\n 354→\t\t],\n 355→\t\t\"startTime\": 1234567890\n 356→\t}`\n 357→\n 358→\tnatsAPI.handleStartJob(startPayload)\n 359→\tnatsAPI.JobRepository.SyncJobs()\n 360→\ttime.Sleep(100 * time.Millisecond)\n 361→\n 362→\ttests := []struct {\n 363→\t\tname string\n 364→\t\tpayload string\n 365→\t\texpectError bool\n 366→\t\tvalidateJob func(t *testing.T, job *schema.Job)\n 367→\t\tsetupJobFunc func() // Optional: create specific test job\n 368→\t}{\n 369→\t\t{\n 370→\t\t\tname: \"valid job stop - completed\",\n 371→\t\t\tpayload: `{\n 372→\t\t\t\t\"jobId\": 2001,\n 373→\t\t\t\t\"cluster\": \"testcluster\",\n 374→\t\t\t\t\"startTime\": 1234567890,\n 375→\t\t\t\t\"jobState\": \"completed\",\n 376→\t\t\t\t\"stopTime\": 1234571490\n 377→\t\t\t}`,\n 378→\t\t\texpectError: false,\n 379→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 380→\t\t\t\tif job.State != schema.JobStateCompleted {\n 381→\t\t\t\t\tt.Errorf(\"expected state completed, got %s\", job.State)\n 382→\t\t\t\t}\n 383→\t\t\t\texpectedDuration := int32(1234571490 - 1234567890)\n 384→\t\t\t\tif job.Duration != expectedDuration {\n 385→\t\t\t\t\tt.Errorf(\"expected duration %d, got %d\", expectedDuration, job.Duration)\n 386→\t\t\t\t}\n 387→\t\t\t},\n 388→\t\t},\n 389→\t\t{\n 390→\t\t\tname: \"valid job stop - failed\",\n 391→\t\t\tsetupJobFunc: func() {\n 392→\t\t\t\tstartPayloadFailed := `{\n 393→\t\t\t\t\t\"jobId\": 2002,\n 394→\t\t\t\t\t\"user\": \"testuser\",\n 395→\t\t\t\t\t\"project\": \"testproj\",\n 396→\t\t\t\t\t\"cluster\": \"testcluster\",\n 397→\t\t\t\t\t\"partition\": \"main\",\n 398→\t\t\t\t\t\"walltime\": 3600,\n 399→\t\t\t\t\t\"numNodes\": 1,\n 400→\t\t\t\t\t\"numHwthreads\": 8,\n 401→\t\t\t\t\t\"numAcc\": 0,\n 402→\t\t\t\t\t\"shared\": \"none\",\n 403→\t\t\t\t\t\"monitoringStatus\": 1,\n 404→\t\t\t\t\t\"smt\": 1,\n 405→\t\t\t\t\t\"resources\": [\n 406→\t\t\t\t\t\t{\n 407→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n 408→\t\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 409→\t\t\t\t\t\t}\n 410→\t\t\t\t\t],\n 411→\t\t\t\t\t\"startTime\": 1234567900\n 412→\t\t\t\t}`\n 413→\t\t\t\tnatsAPI.handleStartJob(startPayloadFailed)\n 414→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n 415→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n 416→\t\t\t},\n 417→\t\t\tpayload: `{\n 418→\t\t\t\t\"jobId\": 2002,\n 419→\t\t\t\t\"cluster\": \"testcluster\",\n 420→\t\t\t\t\"startTime\": 1234567900,\n 421→\t\t\t\t\"jobState\": \"failed\",\n 422→\t\t\t\t\"stopTime\": 1234569900\n 423→\t\t\t}`,\n 424→\t\t\texpectError: false,\n 425→\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n 426→\t\t\t\tif job.State != schema.JobStateFailed {\n 427→\t\t\t\t\tt.Errorf(\"expected state failed, got %s\", job.State)\n 428→\t\t\t\t}\n 429→\t\t\t},\n 430→\t\t},\n 431→\t\t{\n 432→\t\t\tname: \"invalid JSON\",\n 433→\t\t\tpayload: `{\n 434→\t\t\t\t\"jobId\": \"not a number\"\n 435→\t\t\t}`,\n 436→\t\t\texpectError: true,\n 437→\t\t},\n 438→\t\t{\n 439→\t\t\tname: \"missing jobId\",\n 440→\t\t\tpayload: `{\n 441→\t\t\t\t\"cluster\": \"testcluster\",\n 442→\t\t\t\t\"jobState\": \"completed\",\n 443→\t\t\t\t\"stopTime\": 1234571490\n 444→\t\t\t}`,\n 445→\t\t\texpectError: true,\n 446→\t\t},\n 447→\t\t{\n 448→\t\t\tname: \"invalid job state\",\n 449→\t\t\tsetupJobFunc: func() {\n 450→\t\t\t\tstartPayloadInvalid := `{\n 451→\t\t\t\t\t\"jobId\": 2003,\n 452→\t\t\t\t\t\"user\": \"testuser\",\n 453→\t\t\t\t\t\"project\": \"testproj\",\n 454→\t\t\t\t\t\"cluster\": \"testcluster\",\n 455→\t\t\t\t\t\"partition\": \"main\",\n 456→\t\t\t\t\t\"walltime\": 3600,\n 457→\t\t\t\t\t\"numNodes\": 1,\n 458→\t\t\t\t\t\"numHwthreads\": 8,\n 459→\t\t\t\t\t\"numAcc\": 0,\n 460→\t\t\t\t\t\"shared\": \"none\",\n 461→\t\t\t\t\t\"monitoringStatus\": 1,\n 462→\t\t\t\t\t\"smt\": 1,\n 463→\t\t\t\t\t\"resources\": [\n 464→\t\t\t\t\t\t{\n 465→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n 466→\t\t\t\t\t\t\t\"hwthreads\": [0, 1]\n 467→\t\t\t\t\t\t}\n 468→\t\t\t\t\t],\n 469→\t\t\t\t\t\"startTime\": 1234567910\n 470→\t\t\t\t}`\n 471→\t\t\t\tnatsAPI.handleStartJob(startPayloadInvalid)\n 472→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n 473→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n 474→\t\t\t},\n 475→\t\t\tpayload: `{\n 476→\t\t\t\t\"jobId\": 2003,\n 477→\t\t\t\t\"cluster\": \"testcluster\",\n 478→\t\t\t\t\"startTime\": 1234567910,\n 479→\t\t\t\t\"jobState\": \"invalid_state\",\n 480→\t\t\t\t\"stopTime\": 1234571510\n 481→\t\t\t}`,\n 482→\t\t\texpectError: true,\n 483→\t\t},\n 484→\t\t{\n 485→\t\t\tname: \"stopTime before startTime\",\n 486→\t\t\tsetupJobFunc: func() {\n 487→\t\t\t\tstartPayloadTime := `{\n 488→\t\t\t\t\t\"jobId\": 2004,\n 489→\t\t\t\t\t\"user\": \"testuser\",\n 490→\t\t\t\t\t\"project\": \"testproj\",\n 491→\t\t\t\t\t\"cluster\": \"testcluster\",\n 492→\t\t\t\t\t\"partition\": \"main\",\n 493→\t\t\t\t\t\"walltime\": 3600,\n 494→\t\t\t\t\t\"numNodes\": 1,\n 495→\t\t\t\t\t\"numHwthreads\": 8,\n 496→\t\t\t\t\t\"numAcc\": 0,\n 497→\t\t\t\t\t\"shared\": \"none\",\n 498→\t\t\t\t\t\"monitoringStatus\": 1,\n 499→\t\t\t\t\t\"smt\": 1,\n 500→\t\t\t\t\t\"resources\": [\n 501→\t\t\t\t\t\t{\n 502→\t\t\t\t\t\t\t\"hostname\": \"host123\",\n 503→\t\t\t\t\t\t\t\"hwthreads\": [0]\n 504→\t\t\t\t\t\t}\n 505→\t\t\t\t\t],\n 506→\t\t\t\t\t\"startTime\": 1234567920\n 507→\t\t\t\t}`\n 508→\t\t\t\tnatsAPI.handleStartJob(startPayloadTime)\n 509→\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n 510→\t\t\t\ttime.Sleep(100 * time.Millisecond)\n 511→\t\t\t},\n 512→\t\t\tpayload: `{\n 513→\t\t\t\t\"jobId\": 2004,\n 514→\t\t\t\t\"cluster\": \"testcluster\",\n 515→\t\t\t\t\"startTime\": 1234567920,\n 516→\t\t\t\t\"jobState\": \"completed\",\n 517→\t\t\t\t\"stopTime\": 1234567900\n 518→\t\t\t}`,\n 519→\t\t\texpectError: true,\n 520→\t\t},\n 521→\t\t{\n 522→\t\t\tname: \"job not found\",\n 523→\t\t\tpayload: `{\n 524→\t\t\t\t\"jobId\": 99999,\n 525→\t\t\t\t\"cluster\": \"testcluster\",\n 526→\t\t\t\t\"startTime\": 1234567890,\n 527→\t\t\t\t\"jobState\": \"completed\",\n 528→\t\t\t\t\"stopTime\": 1234571490\n 529→\t\t\t}`,\n 530→\t\t\texpectError: true,\n 531→\t\t},\n 532→\t}\n 533→\n 534→\ttestData := schema.JobData{\n 535→\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n 536→\t\t\tschema.MetricScopeNode: {\n 537→\t\t\t\tUnit: schema.Unit{Base: \"load\"},\n 538→\t\t\t\tTimestep: 60,\n 539→\t\t\t\tSeries: []schema.Series{\n 540→\t\t\t\t\t{\n 541→\t\t\t\t\t\tHostname: \"host123\",\n 542→\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n 543→\t\t\t\t\t\tData: []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n 544→\t\t\t\t\t},\n 545→\t\t\t\t},\n 546→\t\t\t},\n 547→\t\t},\n 548→\t}\n 549→\n 550→\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n 551→\t\treturn testData, nil\n 552→\t}\n 553→\n 554→\tfor _, tt := range tests {\n 555→\t\tt.Run(tt.name, func(t *testing.T) {\n 556→\t\t\tif tt.setupJobFunc != nil {\n 557→\t\t\t\ttt.setupJobFunc()\n 558→\t\t\t}\n 559→\n 560→\t\t\tnatsAPI.handleStopJob(tt.payload)\n 561→\n 562→\t\t\t// Allow some time for async operations\n 563→\t\t\ttime.Sleep(100 * time.Millisecond)\n 564→\n 565→\t\t\tif !tt.expectError && tt.validateJob != nil {\n 566→\t\t\t\t// Extract job details from payload\n 567→\t\t\t\tvar payloadMap map[string]any\n 568→\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n 569→\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n 570→\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n 571→\n 572→\t\t\t\tvar startTime *int64\n 573→\t\t\t\tif st, ok := payloadMap[\"startTime\"]; ok {\n 574→\t\t\t\t\tt := int64(st.(float64))\n 575→\t\t\t\t\tstartTime = &t\n 576→\t\t\t\t}\n 577→\n 578→\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, startTime)\n 579→\t\t\t\tif err != nil {\n 580→\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n 581→\t\t\t\t}\n 582→\n 583→\t\t\t\ttt.validateJob(t, job)\n 584→\t\t\t}\n 585→\t\t})\n 586→\t}\n 587→}\n 588→\n 589→func TestNatsHandleNodeState(t *testing.T) {\n 590→\tnatsAPI := setupNatsTest(t)\n 591→\tt.Cleanup(cleanupNatsTest)\n 592→\n 593→\ttests := []struct {\n 594→\t\tname string\n 595→\t\tdata []byte\n 596→\t\texpectError bool\n 597→\t\tvalidateFn func(t *testing.T)\n 598→\t}{\n 599→\t\t{\n 600→\t\t\tname: \"valid node state update\",\n 601→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n 602→\t\t\texpectError: false,\n 603→\t\t\tvalidateFn: func(t *testing.T) {\n 604→\t\t\t\t// In a full test, we would verify the node state was updated in the database\n 605→\t\t\t\t// For now, just ensure no error occurred\n 606→\t\t\t},\n 607→\t\t},\n 608→\t\t{\n 609→\t\t\tname: \"multiple nodes\",\n 610→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"host124\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":4,\\\"memoryAllocated\\\":8192,\\\"gpusAllocated\\\":1,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n 611→\t\t\texpectError: false,\n 612→\t\t},\n 613→\t\t{\n 614→\t\t\tname: \"invalid JSON in event field\",\n 615→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":\\\"not an array\\\"}\" 1234567890000000000`),\n 616→\t\t\texpectError: true,\n 617→\t\t},\n 618→\t\t{\n 619→\t\t\tname: \"empty nodes array\",\n 620→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n 621→\t\t\texpectError: false, // Empty array should not cause error\n 622→\t\t},\n 623→\t\t{\n 624→\t\t\tname: \"invalid line protocol format\",\n 625→\t\t\tdata: []byte(`invalid line protocol format`),\n 626→\t\t\texpectError: true,\n 627→\t\t},\n 628→\t\t{\n 629→\t\t\tname: \"empty data\",\n 630→\t\t\tdata: []byte(``),\n 631→\t\t\texpectError: false, // Should be handled gracefully with warning\n 632→\t\t},\n 633→\t}\n 634→\n 635→\tfor _, tt := range tests {\n 636→\t\tt.Run(tt.name, func(t *testing.T) {\n 637→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n 638→\n 639→\t\t\t// Allow some time for async operations\n 640→\t\t\ttime.Sleep(50 * time.Millisecond)\n 641→\n 642→\t\t\tif tt.validateFn != nil {\n 643→\t\t\t\ttt.validateFn(t)\n 644→\t\t\t}\n 645→\t\t})\n 646→\t}\n 647→}\n 648→\n 649→func TestNatsProcessJobEvent(t *testing.T) {\n 650→\tnatsAPI := setupNatsTest(t)\n 651→\tt.Cleanup(cleanupNatsTest)\n 652→\n 653→\tmsgStartJob, err := lp.NewMessage(\n 654→\t\t\"job\",\n 655→\t\tmap[string]string{\"function\": \"start_job\"},\n 656→\t\tnil,\n 657→\t\tmap[string]any{\n 658→\t\t\t\"event\": `{\n 659→\t\t\t\t\"jobId\": 3001,\n 660→\t\t\t\t\"user\": \"testuser\",\n 661→\t\t\t\t\"project\": \"testproj\",\n 662→\t\t\t\t\"cluster\": \"testcluster\",\n 663→\t\t\t\t\"partition\": \"main\",\n 664→\t\t\t\t\"walltime\": 3600,\n 665→\t\t\t\t\"numNodes\": 1,\n 666→\t\t\t\t\"numHwthreads\": 8,\n 667→\t\t\t\t\"numAcc\": 0,\n 668→\t\t\t\t\"shared\": \"none\",\n 669→\t\t\t\t\"monitoringStatus\": 1,\n 670→\t\t\t\t\"smt\": 1,\n 671→\t\t\t\t\"resources\": [\n 672→\t\t\t\t\t{\n 673→\t\t\t\t\t\t\"hostname\": \"host123\",\n 674→\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 675→\t\t\t\t\t}\n 676→\t\t\t\t],\n 677→\t\t\t\t\"startTime\": 1234567890\n 678→\t\t\t}`,\n 679→\t\t},\n 680→\t\ttime.Now(),\n 681→\t)\n 682→\tif err != nil {\n 683→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n 684→\t}\n 685→\n 686→\tmsgMissingTag, err := lp.NewMessage(\n 687→\t\t\"job\",\n 688→\t\tmap[string]string{},\n 689→\t\tnil,\n 690→\t\tmap[string]any{\n 691→\t\t\t\"event\": `{}`,\n 692→\t\t},\n 693→\t\ttime.Now(),\n 694→\t)\n 695→\tif err != nil {\n 696→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n 697→\t}\n 698→\n 699→\tmsgUnknownFunc, err := lp.NewMessage(\n 700→\t\t\"job\",\n 701→\t\tmap[string]string{\"function\": \"unknown_function\"},\n 702→\t\tnil,\n 703→\t\tmap[string]any{\n 704→\t\t\t\"event\": `{}`,\n 705→\t\t},\n 706→\t\ttime.Now(),\n 707→\t)\n 708→\tif err != nil {\n 709→\t\tt.Fatalf(\"failed to create test message: %v\", err)\n 710→\t}\n 711→\n 712→\ttests := []struct {\n 713→\t\tname string\n 714→\t\tmessage lp.CCMessage\n 715→\t\texpectError bool\n 716→\t}{\n 717→\t\t{\n 718→\t\t\tname: \"start_job function\",\n 719→\t\t\tmessage: msgStartJob,\n 720→\t\t\texpectError: false,\n 721→\t\t},\n 722→\t\t{\n 723→\t\t\tname: \"missing function tag\",\n 724→\t\t\tmessage: msgMissingTag,\n 725→\t\t\texpectError: true,\n 726→\t\t},\n 727→\t\t{\n 728→\t\t\tname: \"unknown function\",\n 729→\t\t\tmessage: msgUnknownFunc,\n 730→\t\t\texpectError: false,\n 731→\t\t},\n 732→\t}\n 733→\n 734→\tfor _, tt := range tests {\n 735→\t\tt.Run(tt.name, func(t *testing.T) {\n 736→\t\t\tnatsAPI.processJobEvent(tt.message)\n 737→\t\t\ttime.Sleep(50 * time.Millisecond)\n 738→\t\t})\n 739→\t}\n 740→}\n 741→\n 742→func TestNatsHandleJobEvent(t *testing.T) {\n 743→\tnatsAPI := setupNatsTest(t)\n 744→\tt.Cleanup(cleanupNatsTest)\n 745→\n 746→\ttests := []struct {\n 747→\t\tname string\n 748→\t\tdata []byte\n 749→\t\texpectError bool\n 750→\t}{\n 751→\t\t{\n 752→\t\t\tname: \"valid influx line protocol\",\n 753→\t\t\tdata: []byte(`job,function=start_job event=\"{\\\"jobId\\\":4001,\\\"user\\\":\\\"testuser\\\",\\\"project\\\":\\\"testproj\\\",\\\"cluster\\\":\\\"testcluster\\\",\\\"partition\\\":\\\"main\\\",\\\"walltime\\\":3600,\\\"numNodes\\\":1,\\\"numHwthreads\\\":8,\\\"numAcc\\\":0,\\\"shared\\\":\\\"none\\\",\\\"monitoringStatus\\\":1,\\\"smt\\\":1,\\\"resources\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"hwthreads\\\":[0,1,2,3]}],\\\"startTime\\\":1234567890}\" 1234567890000000000`),\n 754→\t\t\texpectError: false,\n 755→\t\t},\n 756→\t\t{\n 757→\t\t\tname: \"invalid influx line protocol\",\n 758→\t\t\tdata: []byte(`invalid line protocol format`),\n 759→\t\t\texpectError: true,\n 760→\t\t},\n 761→\t\t{\n 762→\t\t\tname: \"empty data\",\n 763→\t\t\tdata: []byte(``),\n 764→\t\t\texpectError: false, // Decoder should handle empty input gracefully\n 765→\t\t},\n 766→\t}\n 767→\n 768→\tfor _, tt := range tests {\n 769→\t\tt.Run(tt.name, func(t *testing.T) {\n 770→\t\t\t// HandleJobEvent doesn't return errors, it logs them\n 771→\t\t\t// We're just ensuring it doesn't panic\n 772→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n 773→\t\t\ttime.Sleep(50 * time.Millisecond)\n 774→\t\t})\n 775→\t}\n 776→}\n 777→\n 778→func TestNatsHandleJobEventEdgeCases(t *testing.T) {\n 779→\tnatsAPI := setupNatsTest(t)\n 780→\tt.Cleanup(cleanupNatsTest)\n 781→\n 782→\ttests := []struct {\n 783→\t\tname string\n 784→\t\tdata []byte\n 785→\t\texpectError bool\n 786→\t\tdescription string\n 787→\t}{\n 788→\t\t{\n 789→\t\t\tname: \"non-event message (metric data)\",\n 790→\t\t\tdata: []byte(`job,function=start_job value=123.45 1234567890000000000`),\n 791→\t\t\texpectError: false,\n 792→\t\t\tdescription: \"Should skip non-event messages gracefully\",\n 793→\t\t},\n 794→\t\t{\n 795→\t\t\tname: \"wrong measurement name\",\n 796→\t\t\tdata: []byte(`wrongmeasurement,function=start_job event=\"{}\" 1234567890000000000`),\n 797→\t\t\texpectError: false,\n 798→\t\t\tdescription: \"Should warn about unexpected measurement but not fail\",\n 799→\t\t},\n 800→\t\t{\n 801→\t\t\tname: \"missing event field\",\n 802→\t\t\tdata: []byte(`job,function=start_job other_field=\"value\" 1234567890000000000`),\n 803→\t\t\texpectError: true,\n 804→\t\t\tdescription: \"Should error when event field is missing\",\n 805→\t\t},\n 806→\t\t{\n 807→\t\t\tname: \"multiple measurements in one message\",\n 808→\t\t\tdata: []byte(\"job,function=start_job event=\\\"{}\\\" 1234567890000000000\\njob,function=stop_job event=\\\"{}\\\" 1234567890000000000\"),\n 809→\t\t\texpectError: false,\n 810→\t\t\tdescription: \"Should process multiple lines\",\n 811→\t\t},\n 812→\t\t{\n 813→\t\t\tname: \"escaped quotes in JSON payload\",\n 814→\t\t\tdata: []byte(`job,function=start_job event=\"{\\\"jobId\\\":6001,\\\"user\\\":\\\"test\\\\\\\"user\\\",\\\"cluster\\\":\\\"test\\\"}\" 1234567890000000000`),\n 815→\t\t\texpectError: true,\n 816→\t\t\tdescription: \"Should handle escaped quotes (though JSON parsing may fail)\",\n 817→\t\t},\n 818→\t}\n 819→\n 820→\tfor _, tt := range tests {\n 821→\t\tt.Run(tt.name, func(t *testing.T) {\n 822→\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n 823→\t\t\ttime.Sleep(50 * time.Millisecond)\n 824→\t\t})\n 825→\t}\n 826→}\n 827→\n 828→func TestNatsHandleNodeStateEdgeCases(t *testing.T) {\n 829→\tnatsAPI := setupNatsTest(t)\n 830→\tt.Cleanup(cleanupNatsTest)\n 831→\n 832→\ttests := []struct {\n 833→\t\tname string\n 834→\t\tdata []byte\n 835→\t\texpectError bool\n 836→\t\tdescription string\n 837→\t}{\n 838→\t\t{\n 839→\t\t\tname: \"missing cluster field in JSON\",\n 840→\t\t\tdata: []byte(`nodestate event=\"{\\\"nodes\\\":[]}\" 1234567890000000000`),\n 841→\t\t\texpectError: true,\n 842→\t\t\tdescription: \"Should fail when cluster is missing\",\n 843→\t\t},\n 844→\t\t{\n 845→\t\t\tname: \"malformed JSON with unescaped quotes\",\n 846→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"test\"cluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n 847→\t\t\texpectError: true,\n 848→\t\t\tdescription: \"Should fail on malformed JSON\",\n 849→\t\t},\n 850→\t\t{\n 851→\t\t\tname: \"unicode characters in hostname\",\n 852→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host-ñ123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n 853→\t\t\texpectError: false,\n 854→\t\t\tdescription: \"Should handle unicode characters\",\n 855→\t\t},\n 856→\t\t{\n 857→\t\t\tname: \"very large node count\",\n 858→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node1\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node2\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node3\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n 859→\t\t\texpectError: false,\n 860→\t\t\tdescription: \"Should handle multiple nodes efficiently\",\n 861→\t\t},\n 862→\t\t{\n 863→\t\t\tname: \"timestamp in past\",\n 864→\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1000000000000000000`),\n 865→\t\t\texpectError: false,\n 866→\t\t\tdescription: \"Should accept any valid timestamp\",\n 867→\t\t},\n 868→\t}\n 869→\n 870→\tfor _, tt := range tests {\n 871→\t\tt.Run(tt.name, func(t *testing.T) {\n 872→\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n 873→\t\t\ttime.Sleep(50 * time.Millisecond)\n 874→\t\t})\n 875→\t}\n 876→}\n 877→\n 878→func TestNatsHandleStartJobDuplicatePrevention(t *testing.T) {\n 879→\tnatsAPI := setupNatsTest(t)\n 880→\tt.Cleanup(cleanupNatsTest)\n 881→\n 882→\t// Start a job\n 883→\tpayload := `{\n 884→\t\t\"jobId\": 5001,\n 885→\t\t\"user\": \"testuser\",\n 886→\t\t\"project\": \"testproj\",\n 887→\t\t\"cluster\": \"testcluster\",\n 888→\t\t\"partition\": \"main\",\n 889→\t\t\"walltime\": 3600,\n 890→\t\t\"numNodes\": 1,\n 891→\t\t\"numHwthreads\": 8,\n 892→\t\t\"numAcc\": 0,\n 893→\t\t\"shared\": \"none\",\n 894→\t\t\"monitoringStatus\": 1,\n 895→\t\t\"smt\": 1,\n 896→\t\t\"resources\": [\n 897→\t\t\t{\n 898→\t\t\t\t\"hostname\": \"host123\",\n 899→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 900→\t\t\t}\n 901→\t\t],\n 902→\t\t\"startTime\": 1234567890\n 903→\t}`\n 904→\n 905→\tnatsAPI.handleStartJob(payload)\n 906→\tnatsAPI.JobRepository.SyncJobs()\n 907→\ttime.Sleep(100 * time.Millisecond)\n 908→\n 909→\t// Try to start the same job again (within 24 hours)\n 910→\tduplicatePayload := `{\n 911→\t\t\"jobId\": 5001,\n 912→\t\t\"user\": \"testuser\",\n 913→\t\t\"project\": \"testproj\",\n 914→\t\t\"cluster\": \"testcluster\",\n 915→\t\t\"partition\": \"main\",\n 916→\t\t\"walltime\": 3600,\n 917→\t\t\"numNodes\": 1,\n 918→\t\t\"numHwthreads\": 8,\n 919→\t\t\"numAcc\": 0,\n 920→\t\t\"shared\": \"none\",\n 921→\t\t\"monitoringStatus\": 1,\n 922→\t\t\"smt\": 1,\n 923→\t\t\"resources\": [\n 924→\t\t\t{\n 925→\t\t\t\t\"hostname\": \"host123\",\n 926→\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n 927→\t\t\t}\n 928→\t\t],\n 929→\t\t\"startTime\": 1234567900\n 930→\t}`\n 931→\n 932→\tnatsAPI.handleStartJob(duplicatePayload)\n 933→\tnatsAPI.JobRepository.SyncJobs()\n 934→\ttime.Sleep(100 * time.Millisecond)\n 935→\n 936→\t// Verify only one job exists\n 937→\tjobID := int64(5001)\n 938→\tcluster := \"testcluster\"\n 939→\tjobs, err := natsAPI.JobRepository.FindAll(&jobID, &cluster, nil)\n 940→\tif err != nil && err != sql.ErrNoRows {\n 941→\t\tt.Fatalf(\"unexpected error: %v\", err)\n 942→\t}\n 943→\n 944→\tif len(jobs) != 1 {\n 945→\t\tt.Errorf(\"expected 1 job, got %d\", len(jobs))\n 946→\t}\n 947→}\n 948→"}]},"uuid":"6bb94bed-c812-492c-b9db-832170db7863","timestamp":"2026-03-16T10:50:59.890Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage api\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"testing\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nfunc setupNatsTest(t *testing.T) *NatsAPI {\n\trepository.ResetConnection()\n\n\tconst testconfig = `{\n\t\t\"main\": {\n\t\"addr\": \"0.0.0.0:8080\",\n\t\"validate\": false,\n \"api-allowed-ips\": [\n \"*\"\n ]\n\t},\n\t\"archive\": {\n\t\t\"kind\": \"file\",\n\t\t\"path\": \"./var/job-archive\"\n\t},\n\t\"auth\": {\n \"jwts\": {\n \"max-age\": \"2m\"\n }\n\t}\n}`\n\tconst testclusterJSON = `{\n \"name\": \"testcluster\",\n\t\t\"subClusters\": [\n\t\t\t{\n\t\t\t\t\"name\": \"sc1\",\n\t\t\t\t\"nodes\": \"host123,host124,host125\",\n\t\t\t\t\"processorType\": \"Intel Core i7-4770\",\n\t\t\t\t\"socketsPerNode\": 1,\n\t\t\t\t\"coresPerSocket\": 4,\n\t\t\t\t\"threadsPerCore\": 2,\n \"flopRateScalar\": {\n \"unit\": {\n \"prefix\": \"G\",\n \"base\": \"F/s\"\n },\n \"value\": 14\n },\n \"flopRateSimd\": {\n \"unit\": {\n \"prefix\": \"G\",\n \"base\": \"F/s\"\n },\n \"value\": 112\n },\n \"memoryBandwidth\": {\n \"unit\": {\n \"prefix\": \"G\",\n \"base\": \"B/s\"\n },\n \"value\": 24\n },\n \"numberOfNodes\": 70,\n\t\t\t\t\"topology\": {\n\t\t\t\t\t\"node\": [0, 1, 2, 3, 4, 5, 6, 7],\n\t\t\t\t\t\"socket\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"memoryDomain\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"die\": [[0, 1, 2, 3, 4, 5, 6, 7]],\n\t\t\t\t\t\"core\": [[0], [1], [2], [3], [4], [5], [6], [7]]\n\t\t\t\t}\n\t\t\t}\n\t\t],\n\t\t\"metricConfig\": [\n\t\t\t{\n\t\t\t\t\"name\": \"load_one\",\n\t\t\t \"unit\": { \"base\": \"\"},\n\t\t\t\t\"scope\": \"node\",\n\t\t\t\t\"timestep\": 60,\n \"aggregation\": \"avg\",\n\t\t\t\t\"peak\": 8,\n\t\t\t\t\"normal\": 0,\n\t\t\t\t\"caution\": 0,\n\t\t\t\t\"alert\": 0\n\t\t\t}\n\t\t]\n\t}`\n\n\tcclog.Init(\"info\", true)\n\ttmpdir := t.TempDir()\n\tjobarchive := filepath.Join(tmpdir, \"job-archive\")\n\tif err := os.Mkdir(jobarchive, 0o777); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.WriteFile(filepath.Join(jobarchive, \"version.txt\"), fmt.Appendf(nil, \"%d\", 3), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.Mkdir(filepath.Join(jobarchive, \"testcluster\"), 0o777); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tif err := os.WriteFile(filepath.Join(jobarchive, \"testcluster\", \"cluster.json\"), []byte(testclusterJSON), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tdbfilepath := filepath.Join(tmpdir, \"test.db\")\n\terr := repository.MigrateDB(dbfilepath)\n\tif err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tcfgFilePath := filepath.Join(tmpdir, \"config.json\")\n\tif err := os.WriteFile(cfgFilePath, []byte(testconfig), 0o666); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\tccconf.Init(cfgFilePath)\n\n\t// Load and check main configuration\n\tif cfg := ccconf.GetPackageConfig(\"main\"); cfg != nil {\n\t\tconfig.Init(cfg)\n\t} else {\n\t\tcclog.Abort(\"Main configuration must be present\")\n\t}\n\tarchiveCfg := fmt.Sprintf(\"{\\\"kind\\\": \\\"file\\\",\\\"path\\\": \\\"%s\\\"}\", jobarchive)\n\n\trepository.Connect(dbfilepath)\n\n\tif err := archive.Init(json.RawMessage(archiveCfg)); err != nil {\n\t\tt.Fatal(err)\n\t}\n\n\t// metricstore initialization removed - it's initialized via callback in tests\n\n\tarchiver.Start(repository.GetJobRepository(), context.Background())\n\n\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\tauth.Init(&cfg)\n\t} else {\n\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\tauth.Init(nil)\n\t}\n\n\tgraph.Init()\n\n\treturn NewNatsAPI()\n}\n\nfunc cleanupNatsTest() {\n\tif err := archiver.Shutdown(5 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown timeout in tests: %v\", err)\n\t}\n}\n\nfunc TestNatsHandleStartJob(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname string\n\t\tpayload string\n\t\texpectError bool\n\t\tvalidateJob func(t *testing.T, job *schema.Job)\n\t\tshouldFindJob bool\n\t}{\n\t\t{\n\t\t\tname: \"valid job start\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1001,\n\t\t\t\t\"user\": \"testuser1\",\n\t\t\t\t\"project\": \"testproj1\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 7200,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\"smt\": 1,\n\t\t\t\t\"resources\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"startTime\": 1234567890\n\t\t\t}`,\n\t\t\texpectError: false,\n\t\t\tshouldFindJob: true,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.JobID != 1001 {\n\t\t\t\t\tt.Errorf(\"expected JobID 1001, got %d\", job.JobID)\n\t\t\t\t}\n\t\t\t\tif job.User != \"testuser1\" {\n\t\t\t\t\tt.Errorf(\"expected user testuser1, got %s\", job.User)\n\t\t\t\t}\n\t\t\t\tif job.State != schema.JobStateRunning {\n\t\t\t\t\tt.Errorf(\"expected state running, got %s\", job.State)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"invalid JSON\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": \"not a number\",\n\t\t\t\t\"user\": \"testuser2\"\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t\tshouldFindJob: false,\n\t\t},\n\t\t{\n\t\t\tname: \"missing required fields\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1002\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t\tshouldFindJob: false,\n\t\t},\n\t\t{\n\t\t\tname: \"job with unknown fields (should fail due to DisallowUnknownFields)\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1003,\n\t\t\t\t\"user\": \"testuser3\",\n\t\t\t\t\"project\": \"testproj3\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"unknownField\": \"should cause error\",\n\t\t\t\t\"startTime\": 1234567900\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t\tshouldFindJob: false,\n\t\t},\n\t\t{\n\t\t\tname: \"job with tags\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 1004,\n\t\t\t\t\"user\": \"testuser4\",\n\t\t\t\t\"project\": \"testproj4\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\"smt\": 1,\n\t\t\t\t\"resources\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"tags\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"type\": \"test\",\n\t\t\t\t\t\t\"name\": \"testtag\",\n\t\t\t\t\t\t\"scope\": \"testuser4\"\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"startTime\": 1234567910\n\t\t\t}`,\n\t\t\texpectError: false,\n\t\t\tshouldFindJob: true,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.JobID != 1004 {\n\t\t\t\t\tt.Errorf(\"expected JobID 1004, got %d\", job.JobID)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleStartJob(tt.payload)\n\t\t\tnatsAPI.JobRepository.SyncJobs()\n\n\t\t\t// Allow some time for async operations\n\t\t\ttime.Sleep(100 * time.Millisecond)\n\n\t\t\tif tt.shouldFindJob {\n\t\t\t\t// Extract jobId from payload\n\t\t\t\tvar payloadMap map[string]any\n\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n\t\t\t\tstartTime := int64(payloadMap[\"startTime\"].(float64))\n\n\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, &startTime)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif !tt.expectError {\n\t\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\n\t\t\t\tif tt.validateJob != nil {\n\t\t\t\t\ttt.validateJob(t, job)\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleStopJob(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\t// First, create a running job\n\tstartPayload := `{\n\t\t\"jobId\": 2001,\n\t\t\"user\": \"testuser\",\n\t\t\"project\": \"testproj\",\n\t\t\"cluster\": \"testcluster\",\n\t\t\"partition\": \"main\",\n\t\t\"walltime\": 3600,\n\t\t\"numNodes\": 1,\n\t\t\"numHwthreads\": 8,\n\t\t\"numAcc\": 0,\n\t\t\"shared\": \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\": 1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\"hwthreads\": [0, 1, 2, 3, 4, 5, 6, 7]\n\t\t\t}\n\t\t],\n\t\t\"startTime\": 1234567890\n\t}`\n\n\tnatsAPI.handleStartJob(startPayload)\n\tnatsAPI.JobRepository.SyncJobs()\n\ttime.Sleep(100 * time.Millisecond)\n\n\ttests := []struct {\n\t\tname string\n\t\tpayload string\n\t\texpectError bool\n\t\tvalidateJob func(t *testing.T, job *schema.Job)\n\t\tsetupJobFunc func() // Optional: create specific test job\n\t}{\n\t\t{\n\t\t\tname: \"valid job stop - completed\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2001,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567890,\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234571490\n\t\t\t}`,\n\t\t\texpectError: false,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.State != schema.JobStateCompleted {\n\t\t\t\t\tt.Errorf(\"expected state completed, got %s\", job.State)\n\t\t\t\t}\n\t\t\t\texpectedDuration := int32(1234571490 - 1234567890)\n\t\t\t\tif job.Duration != expectedDuration {\n\t\t\t\t\tt.Errorf(\"expected duration %d, got %d\", expectedDuration, job.Duration)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"valid job stop - failed\",\n\t\t\tsetupJobFunc: func() {\n\t\t\t\tstartPayloadFailed := `{\n\t\t\t\t\t\"jobId\": 2002,\n\t\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\t\"smt\": 1,\n\t\t\t\t\t\"resources\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t\"startTime\": 1234567900\n\t\t\t\t}`\n\t\t\t\tnatsAPI.handleStartJob(startPayloadFailed)\n\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n\t\t\t\ttime.Sleep(100 * time.Millisecond)\n\t\t\t},\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2002,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567900,\n\t\t\t\t\"jobState\": \"failed\",\n\t\t\t\t\"stopTime\": 1234569900\n\t\t\t}`,\n\t\t\texpectError: false,\n\t\t\tvalidateJob: func(t *testing.T, job *schema.Job) {\n\t\t\t\tif job.State != schema.JobStateFailed {\n\t\t\t\t\tt.Errorf(\"expected state failed, got %s\", job.State)\n\t\t\t\t}\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"invalid JSON\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": \"not a number\"\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"missing jobId\",\n\t\t\tpayload: `{\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234571490\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"invalid job state\",\n\t\t\tsetupJobFunc: func() {\n\t\t\t\tstartPayloadInvalid := `{\n\t\t\t\t\t\"jobId\": 2003,\n\t\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\t\"smt\": 1,\n\t\t\t\t\t\"resources\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\t\"hwthreads\": [0, 1]\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t\"startTime\": 1234567910\n\t\t\t\t}`\n\t\t\t\tnatsAPI.handleStartJob(startPayloadInvalid)\n\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n\t\t\t\ttime.Sleep(100 * time.Millisecond)\n\t\t\t},\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2003,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567910,\n\t\t\t\t\"jobState\": \"invalid_state\",\n\t\t\t\t\"stopTime\": 1234571510\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"stopTime before startTime\",\n\t\t\tsetupJobFunc: func() {\n\t\t\t\tstartPayloadTime := `{\n\t\t\t\t\t\"jobId\": 2004,\n\t\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\t\"smt\": 1,\n\t\t\t\t\t\"resources\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\t\"hwthreads\": [0]\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t\"startTime\": 1234567920\n\t\t\t\t}`\n\t\t\t\tnatsAPI.handleStartJob(startPayloadTime)\n\t\t\t\tnatsAPI.JobRepository.SyncJobs()\n\t\t\t\ttime.Sleep(100 * time.Millisecond)\n\t\t\t},\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 2004,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567920,\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234567900\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"job not found\",\n\t\t\tpayload: `{\n\t\t\t\t\"jobId\": 99999,\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"startTime\": 1234567890,\n\t\t\t\t\"jobState\": \"completed\",\n\t\t\t\t\"stopTime\": 1234571490\n\t\t\t}`,\n\t\t\texpectError: true,\n\t\t},\n\t}\n\n\ttestData := schema.JobData{\n\t\t\"load_one\": map[schema.MetricScope]*schema.JobMetric{\n\t\t\tschema.MetricScopeNode: {\n\t\t\t\tUnit: schema.Unit{Base: \"load\"},\n\t\t\t\tTimestep: 60,\n\t\t\t\tSeries: []schema.Series{\n\t\t\t\t\t{\n\t\t\t\t\t\tHostname: \"host123\",\n\t\t\t\t\t\tStatistics: schema.MetricStatistics{Min: 0.1, Avg: 0.2, Max: 0.3},\n\t\t\t\t\t\tData: []schema.Float{0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3, 0.3, 0.3},\n\t\t\t\t\t},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tmetricstore.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {\n\t\treturn testData, nil\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tif tt.setupJobFunc != nil {\n\t\t\t\ttt.setupJobFunc()\n\t\t\t}\n\n\t\t\tnatsAPI.handleStopJob(tt.payload)\n\n\t\t\t// Allow some time for async operations\n\t\t\ttime.Sleep(100 * time.Millisecond)\n\n\t\t\tif !tt.expectError && tt.validateJob != nil {\n\t\t\t\t// Extract job details from payload\n\t\t\t\tvar payloadMap map[string]any\n\t\t\t\tjson.Unmarshal([]byte(tt.payload), &payloadMap)\n\t\t\t\tjobID := int64(payloadMap[\"jobId\"].(float64))\n\t\t\t\tcluster := payloadMap[\"cluster\"].(string)\n\n\t\t\t\tvar startTime *int64\n\t\t\t\tif st, ok := payloadMap[\"startTime\"]; ok {\n\t\t\t\t\tt := int64(st.(float64))\n\t\t\t\t\tstartTime = &t\n\t\t\t\t}\n\n\t\t\t\tjob, err := natsAPI.JobRepository.Find(&jobID, &cluster, startTime)\n\t\t\t\tif err != nil {\n\t\t\t\t\tt.Fatalf(\"expected to find job, but got error: %v\", err)\n\t\t\t\t}\n\n\t\t\t\ttt.validateJob(t, job)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleNodeState(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname string\n\t\tdata []byte\n\t\texpectError bool\n\t\tvalidateFn func(t *testing.T)\n\t}{\n\t\t{\n\t\t\tname: \"valid node state update\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":8,\\\"memoryAllocated\\\":16384,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tvalidateFn: func(t *testing.T) {\n\t\t\t\t// In a full test, we would verify the node state was updated in the database\n\t\t\t\t// For now, just ensure no error occurred\n\t\t\t},\n\t\t},\n\t\t{\n\t\t\tname: \"multiple nodes\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"host124\\\",\\\"states\\\":[\\\"allocated\\\"],\\\"cpusAllocated\\\":4,\\\"memoryAllocated\\\":8192,\\\"gpusAllocated\\\":1,\\\"jobsRunning\\\":1}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t},\n\t\t{\n\t\t\tname: \"invalid JSON in event field\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":\\\"not an array\\\"}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"empty nodes array\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n\t\t\texpectError: false, // Empty array should not cause error\n\t\t},\n\t\t{\n\t\t\tname: \"invalid line protocol format\",\n\t\t\tdata: []byte(`invalid line protocol format`),\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"empty data\",\n\t\t\tdata: []byte(``),\n\t\t\texpectError: false, // Should be handled gracefully with warning\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n\n\t\t\t// Allow some time for async operations\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\n\t\t\tif tt.validateFn != nil {\n\t\t\t\ttt.validateFn(t)\n\t\t\t}\n\t\t})\n\t}\n}\n\nfunc TestNatsProcessJobEvent(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\tmsgStartJob, err := lp.NewMessage(\n\t\t\"job\",\n\t\tmap[string]string{\"function\": \"start_job\"},\n\t\tnil,\n\t\tmap[string]any{\n\t\t\t\"event\": `{\n\t\t\t\t\"jobId\": 3001,\n\t\t\t\t\"user\": \"testuser\",\n\t\t\t\t\"project\": \"testproj\",\n\t\t\t\t\"cluster\": \"testcluster\",\n\t\t\t\t\"partition\": \"main\",\n\t\t\t\t\"walltime\": 3600,\n\t\t\t\t\"numNodes\": 1,\n\t\t\t\t\"numHwthreads\": 8,\n\t\t\t\t\"numAcc\": 0,\n\t\t\t\t\"shared\": \"none\",\n\t\t\t\t\"monitoringStatus\": 1,\n\t\t\t\t\"smt\": 1,\n\t\t\t\t\"resources\": [\n\t\t\t\t\t{\n\t\t\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t\t\t}\n\t\t\t\t],\n\t\t\t\t\"startTime\": 1234567890\n\t\t\t}`,\n\t\t},\n\t\ttime.Now(),\n\t)\n\tif err != nil {\n\t\tt.Fatalf(\"failed to create test message: %v\", err)\n\t}\n\n\tmsgMissingTag, err := lp.NewMessage(\n\t\t\"job\",\n\t\tmap[string]string{},\n\t\tnil,\n\t\tmap[string]any{\n\t\t\t\"event\": `{}`,\n\t\t},\n\t\ttime.Now(),\n\t)\n\tif err != nil {\n\t\tt.Fatalf(\"failed to create test message: %v\", err)\n\t}\n\n\tmsgUnknownFunc, err := lp.NewMessage(\n\t\t\"job\",\n\t\tmap[string]string{\"function\": \"unknown_function\"},\n\t\tnil,\n\t\tmap[string]any{\n\t\t\t\"event\": `{}`,\n\t\t},\n\t\ttime.Now(),\n\t)\n\tif err != nil {\n\t\tt.Fatalf(\"failed to create test message: %v\", err)\n\t}\n\n\ttests := []struct {\n\t\tname string\n\t\tmessage lp.CCMessage\n\t\texpectError bool\n\t}{\n\t\t{\n\t\t\tname: \"start_job function\",\n\t\t\tmessage: msgStartJob,\n\t\t\texpectError: false,\n\t\t},\n\t\t{\n\t\t\tname: \"missing function tag\",\n\t\t\tmessage: msgMissingTag,\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"unknown function\",\n\t\t\tmessage: msgUnknownFunc,\n\t\t\texpectError: false,\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.processJobEvent(tt.message)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleJobEvent(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname string\n\t\tdata []byte\n\t\texpectError bool\n\t}{\n\t\t{\n\t\t\tname: \"valid influx line protocol\",\n\t\t\tdata: []byte(`job,function=start_job event=\"{\\\"jobId\\\":4001,\\\"user\\\":\\\"testuser\\\",\\\"project\\\":\\\"testproj\\\",\\\"cluster\\\":\\\"testcluster\\\",\\\"partition\\\":\\\"main\\\",\\\"walltime\\\":3600,\\\"numNodes\\\":1,\\\"numHwthreads\\\":8,\\\"numAcc\\\":0,\\\"shared\\\":\\\"none\\\",\\\"monitoringStatus\\\":1,\\\"smt\\\":1,\\\"resources\\\":[{\\\"hostname\\\":\\\"host123\\\",\\\"hwthreads\\\":[0,1,2,3]}],\\\"startTime\\\":1234567890}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t},\n\t\t{\n\t\t\tname: \"invalid influx line protocol\",\n\t\t\tdata: []byte(`invalid line protocol format`),\n\t\t\texpectError: true,\n\t\t},\n\t\t{\n\t\t\tname: \"empty data\",\n\t\t\tdata: []byte(``),\n\t\t\texpectError: false, // Decoder should handle empty input gracefully\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\t// HandleJobEvent doesn't return errors, it logs them\n\t\t\t// We're just ensuring it doesn't panic\n\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleJobEventEdgeCases(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname string\n\t\tdata []byte\n\t\texpectError bool\n\t\tdescription string\n\t}{\n\t\t{\n\t\t\tname: \"non-event message (metric data)\",\n\t\t\tdata: []byte(`job,function=start_job value=123.45 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should skip non-event messages gracefully\",\n\t\t},\n\t\t{\n\t\t\tname: \"wrong measurement name\",\n\t\t\tdata: []byte(`wrongmeasurement,function=start_job event=\"{}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should warn about unexpected measurement but not fail\",\n\t\t},\n\t\t{\n\t\t\tname: \"missing event field\",\n\t\t\tdata: []byte(`job,function=start_job other_field=\"value\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should error when event field is missing\",\n\t\t},\n\t\t{\n\t\t\tname: \"multiple measurements in one message\",\n\t\t\tdata: []byte(\"job,function=start_job event=\\\"{}\\\" 1234567890000000000\\njob,function=stop_job event=\\\"{}\\\" 1234567890000000000\"),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should process multiple lines\",\n\t\t},\n\t\t{\n\t\t\tname: \"escaped quotes in JSON payload\",\n\t\t\tdata: []byte(`job,function=start_job event=\"{\\\"jobId\\\":6001,\\\"user\\\":\\\"test\\\\\\\"user\\\",\\\"cluster\\\":\\\"test\\\"}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should handle escaped quotes (though JSON parsing may fail)\",\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleJobEvent(\"test.subject\", tt.data)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleNodeStateEdgeCases(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\ttests := []struct {\n\t\tname string\n\t\tdata []byte\n\t\texpectError bool\n\t\tdescription string\n\t}{\n\t\t{\n\t\t\tname: \"missing cluster field in JSON\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"nodes\\\":[]}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should fail when cluster is missing\",\n\t\t},\n\t\t{\n\t\t\tname: \"malformed JSON with unescaped quotes\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"test\"cluster\\\",\\\"nodes\\\":[]}\" 1234567890000000000`),\n\t\t\texpectError: true,\n\t\t\tdescription: \"Should fail on malformed JSON\",\n\t\t},\n\t\t{\n\t\t\tname: \"unicode characters in hostname\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"host-ñ123\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should handle unicode characters\",\n\t\t},\n\t\t{\n\t\t\tname: \"very large node count\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node1\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node2\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0},{\\\"hostname\\\":\\\"node3\\\",\\\"states\\\":[\\\"idle\\\"],\\\"cpusAllocated\\\":0,\\\"memoryAllocated\\\":0,\\\"gpusAllocated\\\":0,\\\"jobsRunning\\\":0}]}\" 1234567890000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should handle multiple nodes efficiently\",\n\t\t},\n\t\t{\n\t\t\tname: \"timestamp in past\",\n\t\t\tdata: []byte(`nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[]}\" 1000000000000000000`),\n\t\t\texpectError: false,\n\t\t\tdescription: \"Should accept any valid timestamp\",\n\t\t},\n\t}\n\n\tfor _, tt := range tests {\n\t\tt.Run(tt.name, func(t *testing.T) {\n\t\t\tnatsAPI.handleNodeState(\"test.subject\", tt.data)\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t})\n\t}\n}\n\nfunc TestNatsHandleStartJobDuplicatePrevention(t *testing.T) {\n\tnatsAPI := setupNatsTest(t)\n\tt.Cleanup(cleanupNatsTest)\n\n\t// Start a job\n\tpayload := `{\n\t\t\"jobId\": 5001,\n\t\t\"user\": \"testuser\",\n\t\t\"project\": \"testproj\",\n\t\t\"cluster\": \"testcluster\",\n\t\t\"partition\": \"main\",\n\t\t\"walltime\": 3600,\n\t\t\"numNodes\": 1,\n\t\t\"numHwthreads\": 8,\n\t\t\"numAcc\": 0,\n\t\t\"shared\": \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\": 1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t}\n\t\t],\n\t\t\"startTime\": 1234567890\n\t}`\n\n\tnatsAPI.handleStartJob(payload)\n\tnatsAPI.JobRepository.SyncJobs()\n\ttime.Sleep(100 * time.Millisecond)\n\n\t// Try to start the same job again (within 24 hours)\n\tduplicatePayload := `{\n\t\t\"jobId\": 5001,\n\t\t\"user\": \"testuser\",\n\t\t\"project\": \"testproj\",\n\t\t\"cluster\": \"testcluster\",\n\t\t\"partition\": \"main\",\n\t\t\"walltime\": 3600,\n\t\t\"numNodes\": 1,\n\t\t\"numHwthreads\": 8,\n\t\t\"numAcc\": 0,\n\t\t\"shared\": \"none\",\n\t\t\"monitoringStatus\": 1,\n\t\t\"smt\": 1,\n\t\t\"resources\": [\n\t\t\t{\n\t\t\t\t\"hostname\": \"host123\",\n\t\t\t\t\"hwthreads\": [0, 1, 2, 3]\n\t\t\t}\n\t\t],\n\t\t\"startTime\": 1234567900\n\t}`\n\n\tnatsAPI.handleStartJob(duplicatePayload)\n\tnatsAPI.JobRepository.SyncJobs()\n\ttime.Sleep(100 * time.Millisecond)\n\n\t// Verify only one job exists\n\tjobID := int64(5001)\n\tcluster := \"testcluster\"\n\tjobs, err := natsAPI.JobRepository.FindAll(&jobID, &cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tt.Fatalf(\"unexpected error: %v\", err)\n\t}\n\n\tif len(jobs) != 1 {\n\t\tt.Errorf(\"expected 1 job, got %d\", len(jobs))\n\t}\n}\n","numLines":948,"startLine":1,"totalLines":948}},"sourceToolAssistantUUID":"7aafecec-1756-456c-9a0e-de007dab36ea","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"6bb94bed-c812-492c-b9db-832170db7863","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_014Ku4xFugNF3T6G3feh8a9R","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EowCCkYICxgCKkC1gTm7R4cI35UUmnKkYZ7kgK1hlPHIh7sRiZyidRfDMlCwoOWKPOsf7f62GXRSn4EbUiJTqPksf/SvlRJ95p9FEgw2U5To0NXLkahE4lEaDEoRgzYp9ebokDFV5SIwmC7JrF3zLtcu00yH5dQhdLi80YcB2hmW980MxtpKFbQAYvyqkL8xxk8Qsh17mfUNKnTvp0ACeJA4m3+Ol55XPFCzpOCuRx0g7k4cyfEJKMk86xM3j1++L4DzLN6+Fpn54KH+X2O3kMIog7R0SUSjb0cDCGBIzMgfbEIozYraemCN7O/5CiSlKSZmthNqys1SGtCkXOtxqdaS0BxLgWYhHISKYeqLWhgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":20996,"cache_read_input_tokens":18858,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20996},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dZD7uqCcUD6jUgoFwv","type":"assistant","uuid":"1580c70d-2537-403c-a1dd-634c71724039","timestamp":"2026-03-16T10:51:05.612Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"1580c70d-2537-403c-a1dd-634c71724039","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_014Ku4xFugNF3T6G3feh8a9R","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the NATS client interface to understand available methods."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":20996,"cache_read_input_tokens":18858,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20996},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dZD7uqCcUD6jUgoFwv","type":"assistant","uuid":"c8b8ff06-e333-4943-b2cf-d034e8f1e900","timestamp":"2026-03-16T10:51:06.050Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} 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make([]*nats.Subscription, 0),\n 146→\t}, nil\n 147→}\n 148→\n 149→// Subscribe registers a handler for messages on the given subject.\n 150→func (c *Client) Subscribe(subject string, handler MessageHandler) error {\n 151→\tc.mu.Lock()\n 152→\tdefer c.mu.Unlock()\n 153→\n 154→\tsub, err := c.conn.Subscribe(subject, func(msg *nats.Msg) {\n 155→\t\thandler(msg.Subject, msg.Data)\n 156→\t})\n 157→\tif err != nil {\n 158→\t\treturn fmt.Errorf(\"NATS subscribe to '%s' failed: %w\", subject, err)\n 159→\t}\n 160→\n 161→\tc.subscriptions = append(c.subscriptions, sub)\n 162→\tcclog.Infof(\"NATS subscribed to '%s'\", subject)\n 163→\treturn nil\n 164→}\n 165→\n 166→// SubscribeQueue registers a handler with queue group for load-balanced message processing.\n 167→func (c *Client) SubscribeQueue(subject, queue string, handler MessageHandler) error {\n 168→\tc.mu.Lock()\n 169→\tdefer c.mu.Unlock()\n 170→\n 171→\tsub, err := c.conn.QueueSubscribe(subject, queue, func(msg *nats.Msg) {\n 172→\t\thandler(msg.Subject, msg.Data)\n 173→\t})\n 174→\tif err != nil {\n 175→\t\treturn fmt.Errorf(\"NATS queue subscribe to '%s' (queue: %s) failed: %w\", subject, queue, err)\n 176→\t}\n 177→\n 178→\tc.subscriptions = append(c.subscriptions, sub)\n 179→\tcclog.Infof(\"NATS queue subscribed to '%s' (queue: %s)\", subject, queue)\n 180→\treturn nil\n 181→}\n 182→\n 183→// SubscribeChan subscribes to a subject and delivers messages to the provided channel.\n 184→func (c *Client) SubscribeChan(subject string, ch chan *nats.Msg) error {\n 185→\tc.mu.Lock()\n 186→\tdefer c.mu.Unlock()\n 187→\n 188→\tsub, err := c.conn.ChanSubscribe(subject, ch)\n 189→\tif err != nil {\n 190→\t\treturn fmt.Errorf(\"NATS chan subscribe to '%s' failed: %w\", subject, err)\n 191→\t}\n 192→\n 193→\tc.subscriptions = append(c.subscriptions, sub)\n 194→\tcclog.Infof(\"NATS chan subscribed to '%s'\", subject)\n 195→\treturn nil\n 196→}\n 197→\n 198→// Publish sends data to the specified subject.\n 199→func (c *Client) Publish(subject string, data []byte) error {\n 200→\tif err := c.conn.Publish(subject, data); err != nil {\n 201→\t\treturn fmt.Errorf(\"NATS publish to '%s' failed: %w\", subject, err)\n 202→\t}\n 203→\treturn nil\n 204→}\n 205→\n 206→// Request sends a request and waits for a response with the given context timeout.\n 207→func (c *Client) Request(subject string, data []byte, timeout context.Context) ([]byte, error) {\n 208→\tmsg, err := c.conn.RequestWithContext(timeout, subject, data)\n 209→\tif err != nil {\n 210→\t\treturn nil, fmt.Errorf(\"NATS request to '%s' failed: %w\", subject, err)\n 211→\t}\n 212→\treturn msg.Data, nil\n 213→}\n 214→\n 215→// Flush flushes the connection buffer to ensure all published messages are sent.\n 216→func (c *Client) Flush() error {\n 217→\treturn c.conn.Flush()\n 218→}\n 219→"}]},"uuid":"f5183a56-06b8-4e59-895a-3506598a7a9b","timestamp":"2026-03-16T10:51:10.962Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/nats/client.go","content":"\n\tcclog.Infof(\"NATS connected to %s\", cfg.Address)\n\n\treturn &Client{\n\t\tconn: nc,\n\t\tsubscriptions: make([]*nats.Subscription, 0),\n\t}, nil\n}\n\n// Subscribe registers a handler for messages on the given subject.\nfunc (c *Client) Subscribe(subject string, handler MessageHandler) error {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\n\tsub, err := c.conn.Subscribe(subject, func(msg *nats.Msg) {\n\t\thandler(msg.Subject, msg.Data)\n\t})\n\tif err != nil {\n\t\treturn fmt.Errorf(\"NATS subscribe to '%s' failed: %w\", subject, err)\n\t}\n\n\tc.subscriptions = append(c.subscriptions, sub)\n\tcclog.Infof(\"NATS subscribed to '%s'\", subject)\n\treturn nil\n}\n\n// SubscribeQueue registers a handler with queue group for load-balanced message processing.\nfunc (c *Client) SubscribeQueue(subject, queue string, handler MessageHandler) error {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\n\tsub, err := c.conn.QueueSubscribe(subject, queue, func(msg *nats.Msg) {\n\t\thandler(msg.Subject, msg.Data)\n\t})\n\tif err != nil {\n\t\treturn fmt.Errorf(\"NATS queue subscribe to '%s' (queue: %s) failed: %w\", subject, queue, err)\n\t}\n\n\tc.subscriptions = append(c.subscriptions, sub)\n\tcclog.Infof(\"NATS queue subscribed to '%s' (queue: %s)\", subject, queue)\n\treturn nil\n}\n\n// SubscribeChan subscribes to a subject and delivers messages to the provided channel.\nfunc (c *Client) SubscribeChan(subject string, ch chan *nats.Msg) error {\n\tc.mu.Lock()\n\tdefer c.mu.Unlock()\n\n\tsub, err := c.conn.ChanSubscribe(subject, ch)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"NATS chan subscribe to '%s' failed: %w\", subject, err)\n\t}\n\n\tc.subscriptions = append(c.subscriptions, sub)\n\tcclog.Infof(\"NATS chan subscribed to '%s'\", subject)\n\treturn nil\n}\n\n// Publish sends data to the specified subject.\nfunc (c *Client) Publish(subject string, data []byte) error {\n\tif err := c.conn.Publish(subject, data); err != nil {\n\t\treturn fmt.Errorf(\"NATS publish to '%s' failed: %w\", subject, err)\n\t}\n\treturn nil\n}\n\n// Request sends a request and waits for a response with the given context timeout.\nfunc (c *Client) Request(subject string, data []byte, timeout context.Context) ([]byte, error) {\n\tmsg, err := c.conn.RequestWithContext(timeout, subject, data)\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"NATS request to '%s' failed: %w\", subject, err)\n\t}\n\treturn msg.Data, nil\n}\n\n// Flush flushes the connection buffer to ensure all published messages are sent.\nfunc (c *Client) Flush() error {\n\treturn 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The `SubscribeChan` doesn't support queue groups in cc-lib, so I'll use callback-based subscribe that pushes to buffered channels, with worker goroutines consuming from them. This cleanly replaces the semaphore pattern.\n\nLet me implement all three changes.\n\n**1. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":117,"oldLines":6,"newStart":117,"newLines":9,"lines":[" type NATSConfig struct {"," SubjectJobEvent string `json:\"subject-job-event\"`"," SubjectNodeState string `json:\"subject-node-state\"`","+ QueueGroup string `json:\"queue-group\"`","+ JobConcurrency int `json:\"job-concurrency\"`","+ NodeConcurrency int `json:\"node-concurrency\"`"," }"," "," type IntRange struct {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6d5ab45c-c963-4fba-bf65-792e3bcf41e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"ef194566-e426-4d69-89c4-6697e6df2705","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SURCvRUDx3SniC21NSWoe5","type":"message","role":"assistant","content":[{"type":"text","text":"**2. Rework `nats.go` — replace semaphores with channel-based worker pool, add queue group support:**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1065,"cache_read_input_tokens":41489,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1065},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dbcGznoB4kQ6diX9k7","type":"assistant","uuid":"a1473d05-fd96-4b89-9f5c-dad4a465bbd0","timestamp":"2026-03-16T10:51:35.849Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"a1473d05-fd96-4b89-9f5c-dad4a465bbd0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SURCvRUDx3SniC21NSWoe5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XJVvk4PRR1mymGqZPrVw9G","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}","new_string":"// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn 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successfully."}]},"uuid":"6a0f4199-93ac-48c4-b704-1f59f2a19e33","timestamp":"2026-03-16T10:52:03.259Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}","newString":"// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":24,"oldLines":6,"newStart":24,"newLines":12,"lines":[" influx \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\""," )"," ","+// natsMessage wraps a raw NATS message with its subject for channel-based processing.","+type natsMessage struct {","+ subject string","+ data []byte","+}","+"," // NatsAPI provides NATS subscription-based handlers for Job and Node operations."," // It mirrors the functionality of the REST API but uses NATS messaging with"," // InfluxDB line protocol as the message format."]},{"oldStart":64,"oldLines":23,"newStart":70,"newLines":68,"lines":[" // RepositoryMutex protects job creation operations from race conditions"," // when checking for duplicate jobs during startJob calls."," RepositoryMutex sync.Mutex","- // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","- // when the database is under contention.","- jobSem chan struct{}","- // nodeSem limits concurrent NATS node state processing.","- nodeSem chan struct{}","+ // jobCh receives job event messages for processing by worker goroutines.","+ jobCh chan natsMessage","+ // nodeCh receives node state messages for processing by worker goroutines.","+ nodeCh chan natsMessage"," }"," ","-// NewNatsAPI creates a new NatsAPI instance with default dependencies.","+// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.","+// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2)."," func NewNatsAPI() *NatsAPI {","- return &NatsAPI{","+ jobConc := 8","+ nodeConc := 2","+","+ if s := config.Keys.APISubjects; s != nil {","+ if s.JobConcurrency > 0 {","+ jobConc = s.JobConcurrency","+ }","+ if s.NodeConcurrency > 0 {","+ nodeConc = s.NodeConcurrency","+ }","+ }","+","+ api := &NatsAPI{"," JobRepository: repository.GetJobRepository(),","- jobSem: make(chan struct{}, 8),","- nodeSem: make(chan struct{}, 2),","+ jobCh: make(chan natsMessage, jobConc),","+ nodeCh: make(chan natsMessage, nodeConc),"," }","+","+ // Start worker goroutines","+ for range jobConc {","+ go api.jobWorker()","+ }","+ for range nodeConc {","+ go api.nodeWorker()","+ }","+","+ return api"," }"," ","+// jobWorker processes job event messages from the job channel.","+func (api *NatsAPI) jobWorker() {","+ for msg := range api.jobCh {","+ api.handleJobEvent(msg.subject, msg.data)","+ }","+}","+","+// nodeWorker processes node state messages from the node channel.","+func (api *NatsAPI) nodeWorker() {","+ for msg := range api.nodeCh {","+ api.handleNodeState(msg.subject, msg.data)","+ }","+}","+","+// subscribe registers a NATS subscription using queue groups when configured.","+func subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {","+ if queueGroup != \"\" {","+ return client.SubscribeQueue(subject, queueGroup, handler)","+ }","+ return client.Subscribe(subject, handler)","+}","+"," // StartSubscriptions registers all NATS subscriptions for Job and Node APIs.","+// Messages are delivered to buffered channels and processed by worker goroutines."," // Returns an error if the NATS client is not available or subscription fails."," func (api *NatsAPI) StartSubscriptions() error {"," client := nats.GetClient()"]},{"oldStart":90,"oldLines":14,"newStart":141,"newLines":18,"lines":[" }"," "," if config.Keys.APISubjects != nil {","-"," s := config.Keys.APISubjects","+ qg := s.QueueGroup"," ","- if err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {","+ if err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {","+ api.jobCh <- natsMessage{subject: subject, data: data}","+ }); err != nil {"," return err"," }"," ","- if err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {","+ if err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {","+ api.nodeCh <- natsMessage{subject: subject, data: data}","+ }); err != nil {"," return err"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"de75183c-21f3-40c2-a564-e42cd923e69c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"6a0f4199-93ac-48c4-b704-1f59f2a19e33","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013qebPMzq839jjYQHPn9frr","type":"message","role":"assistant","content":[{"type":"text","text":"Now remove the semaphore acquire/release from `handleJobEvent` and `handleNodeState` since workers handle concurrency:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2499,"cache_read_input_tokens":42554,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2499},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ddrixsjYUrja2AL1p1","type":"assistant","uuid":"d076f7de-a2eb-451a-b519-271beb967c87","timestamp":"2026-03-16T10:52:07.152Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"d076f7de-a2eb-451a-b519-271beb967c87","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013qebPMzq839jjYQHPn9frr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FTB8RJkgj5uvTYTyaHC9WN","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2499,"cache_read_input_tokens":42554,"output_tokens":251,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2499,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ddrixsjYUrja2AL1p1","type":"assistant","uuid":"731be51b-0e04-4ffa-9554-885194755b23","timestamp":"2026-03-16T10:52:08.720Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"731be51b-0e04-4ffa-9554-885194755b23","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01FTB8RJkgj5uvTYTyaHC9WN","toolUseID":"toolu_01FTB8RJkgj5uvTYTyaHC9WN","timestamp":"2026-03-16T10:52:08.749Z","uuid":"dcf1b7d2-92bb-4d7d-a3db-3de74852c477","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"731be51b-0e04-4ffa-9554-885194755b23","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FTB8RJkgj5uvTYTyaHC9WN","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"91275934-07c6-47a6-b489-d15110e2c13d","timestamp":"2026-03-16T10:52:08.748Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":199,"oldLines":9,"newStart":199,"newLines":6,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","- api.jobSem <- struct{}{}","- defer func() { <-api.jobSem }()","-"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"731be51b-0e04-4ffa-9554-885194755b23","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} 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successfully."}]},"uuid":"efad14ac-eb60-4b03-9785-72880690b5a2","timestamp":"2026-03-16T10:52:12.808Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":439,"oldLines":9,"newStart":439,"newLines":6,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","- api.nodeSem <- struct{}{}","- defer func() { <-api.nodeSem }()","-"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"97f27a0d-1dff-4bb4-8f05-fd9dfca2df9c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"efad14ac-eb60-4b03-9785-72880690b5a2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SHArEchGqgUh3sf5xXJV7r","type":"message","role":"assistant","content":[{"type":"text","text":"There are still references to the old semaphore fields. Let me check what's on those lines."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":395,"cache_read_input_tokens":45566,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":395},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6deZXdqQn6dAo6twbxg","type":"assistant","uuid":"12f3c230-7929-42ce-b594-11ae957e9cb5","timestamp":"2026-03-16T10:52:16.311Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"12f3c230-7929-42ce-b594-11ae957e9cb5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SHArEchGqgUh3sf5xXJV7r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RgFDCPndryefTQNWEvUXLj","name":"Grep","input":{"pattern":"jobSem|nodeSem","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":395,"cache_read_input_tokens":45566,"output_tokens":141,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":395,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6deZXdqQn6dAo6twbxg","type":"assistant","uuid":"c512a431-1089-4cf1-b931-0b3fe24a94b9","timestamp":"2026-03-16T10:52:17.310Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"c512a431-1089-4cf1-b931-0b3fe24a94b9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01RgFDCPndryefTQNWEvUXLj","toolUseID":"toolu_01RgFDCPndryefTQNWEvUXLj","timestamp":"2026-03-16T10:52:17.348Z","uuid":"73f114ea-0a53-4a04-8218-b17fbb00fc1b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"c512a431-1089-4cf1-b931-0b3fe24a94b9","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RgFDCPndryefTQNWEvUXLj","type":"tool_result","content":"No matches found"}]},"uuid":"81fe2583-ee69-4941-b553-9d40baf30d6a","timestamp":"2026-03-16T10:52:17.348Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"","numLines":0},"sourceToolAssistantUUID":"c512a431-1089-4cf1-b931-0b3fe24a94b9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"81fe2583-ee69-4941-b553-9d40baf30d6a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SmKB5Ax5a51u3UH2rJLACo","type":"message","role":"assistant","content":[{"type":"text","text":"Good, no more references. The diagnostics must have been stale. Now let me build and test."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":156,"cache_read_input_tokens":45961,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":156},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6deuH2aGRZmKeCX6wZ6","type":"assistant","uuid":"983c2297-43d2-4f69-8b8a-7e93786e97a6","timestamp":"2026-03-16T10:52:22.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"983c2297-43d2-4f69-8b8a-7e93786e97a6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SmKB5Ax5a51u3UH2rJLACo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012q9WQvd7LSsYnYXBTv1LMf","name":"Bash","input":{"command":"go build ./...","description":"Build all packages"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":156,"cache_read_input_tokens":45961,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":156},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6deuH2aGRZmKeCX6wZ6","type":"assistant","uuid":"469752c1-20ca-478a-9fa8-f149e4051664","timestamp":"2026-03-16T10:52:23.055Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"469752c1-20ca-478a-9fa8-f149e4051664","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SmKB5Ax5a51u3UH2rJLACo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RsbegDBYHRdDwEVWjJ5pgY","name":"Bash","input":{"command":"go vet ./internal/api/...","description":"Vet api package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":156,"cache_read_input_tokens":45961,"output_tokens":197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":156,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6deuH2aGRZmKeCX6wZ6","type":"assistant","uuid":"d9d761c0-e71e-4202-8cce-f8fa69fc6e35","timestamp":"2026-03-16T10:52:23.409Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"469752c1-20ca-478a-9fa8-f149e4051664","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012q9WQvd7LSsYnYXBTv1LMf","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"71082198-751b-4af4-8c4a-eded3efaa858","timestamp":"2026-03-16T10:52:29.525Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"469752c1-20ca-478a-9fa8-f149e4051664","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"d9d761c0-e71e-4202-8cce-f8fa69fc6e35","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RsbegDBYHRdDwEVWjJ5pgY","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"4a1d1dd6-44c0-4a53-b9e9-d2f3664d4342","timestamp":"2026-03-16T10:52:30.244Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"d9d761c0-e71e-4202-8cce-f8fa69fc6e35","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"4a1d1dd6-44c0-4a53-b9e9-d2f3664d4342","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017cFq5EM7HSBNUvdw3urqPP","type":"message","role":"assistant","content":[{"type":"text","text":"Build and vet pass. Now run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":232,"cache_read_input_tokens":46117,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":232},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dfr2rCiUfnYzGM5Ztk","type":"assistant","uuid":"c17ed003-df36-4cc7-a67b-16b90f14da78","timestamp":"2026-03-16T10:52:33.993Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"c17ed003-df36-4cc7-a67b-16b90f14da78","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017cFq5EM7HSBNUvdw3urqPP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DXStoFoEeYbw148tUCgNLu","name":"Bash","input":{"command":"go test ./internal/api/... -v -count=1 -timeout 120s 2>&1 | tail -80","description":"Run NATS API tests","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":232,"cache_read_input_tokens":46117,"output_tokens":151,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":232,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dfr2rCiUfnYzGM5Ztk","type":"assistant","uuid":"10010e78-c6cf-4585-9eee-1cfad80e73a6","timestamp":"2026-03-16T10:52:35.044Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"10010e78-c6cf-4585-9eee-1cfad80e73a6","isSidechain":false,"promptId":"66979d8d-658a-487e-82d6-dc570b03867c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DXStoFoEeYbw148tUCgNLu","type":"tool_result","content":"<6>[INFO] 2026/03/16 11:52:39 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 11:52:39 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO] 2026/03/16 11:52:39 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 11:52:39 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 11:52:39 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 11:52:39 nats.go:297: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR] 2026/03/16 11:52:40 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:269: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 113234315163880)\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\n=== RUN TestRestApi\n<6>[INFO] 2026/03/16 11:52:40 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 11:52:40 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 11:52:40 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 11:52:40 rest.go:88: Enabling REST start/stop job API\n=== RUN TestRestApi/StartJob\n<6>[INFO] 2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789\n=== RUN TestRestApi/StopJob\n<4>[WARNING] 2026/03/16 11:52:40 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 11:52:40 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789, duration=1000, state=completed\n=== RUN TestRestApi/CheckArchive\n=== RUN TestRestApi/CheckDoubleStart\n<4>[WARNING] 2026/03/16 11:52:40 rest.go:187: REST ERROR : a job with that jobId, cluster and startTime already exists: dbid: 1, jobid: 123\n=== RUN TestRestApi/StartJobFailed\n<6>[INFO] 2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN TestRestApi/StopJobFailed\n<4>[WARNING] 2026/03/16 11:52:41 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 11:52:41 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678, duration=10000, state=failed\n=== RUN TestRestApi/GetUsedNodesNoRunning\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestRestApi (1.05s)\n --- PASS: TestRestApi/StartJob (0.00s)\n --- PASS: TestRestApi/StopJob (0.00s)\n --- PASS: TestRestApi/CheckArchive (0.00s)\n --- PASS: TestRestApi/CheckDoubleStart (0.00s)\n --- PASS: TestRestApi/StartJobFailed (0.00s)\n --- PASS: TestRestApi/StopJobFailed (0.00s)\n --- PASS: TestRestApi/GetUsedNodesNoRunning (0.00s)\n=== RUN TestStopJobWithReusedJobId\n<6>[INFO] 2026/03/16 11:52:41 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 11:52:41 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 11:52:41 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 11:52:41 rest.go:88: Enabling REST start/stop job API\n=== RUN TestStopJobWithReusedJobId/StartFirstJob\n<6>[INFO] 2026/03/16 11:52:41 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000\n=== RUN TestStopJobWithReusedJobId/StopFirstJobAsFailed\n<4>[WARNING] 2026/03/16 11:52:42 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 11:52:42 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000, duration=1000, state=failed\n<6>[INFO] 2026/03/16 11:52:42 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN TestStopJobWithReusedJobId/StartSecondJob\n<6>[INFO] 2026/03/16 11:52:43 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=300000000\n=== RUN TestStopJobWithReusedJobId/StopSecondJobBeforeSync\n<6>[INFO] 2026/03/16 11:52:43 job.go:1026: transferred cached job to main table: old id 1 -> new id 2 (jobId=999)\n<6>[INFO] 2026/03/16 11:52:43 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=999, user=testuser, startTime=300000000, duration=1000, state=completed\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestStopJobWithReusedJobId (2.04s)\n --- PASS: TestStopJobWithReusedJobId/StartFirstJob (0.00s)\n --- PASS: TestStopJobWithReusedJobId/StopFirstJobAsFailed (0.00s)\n --- PASS: TestStopJobWithReusedJobId/StartSecondJob (0.00s)\n --- PASS: TestStopJobWithReusedJobId/StopSecondJobBeforeSync (0.00s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.036s","is_error":false}]},"uuid":"591a630b-c031-4486-9d1e-6b3c0d55d8dc","timestamp":"2026-03-16T10:52:43.274Z","toolUseResult":{"stdout":"<6>[INFO] 2026/03/16 11:52:39 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 11:52:39 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleNodeStateEdgeCases (0.30s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/missing_cluster_field_in_JSON (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/malformed_JSON_with_unescaped_quotes (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/unicode_characters_in_hostname (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/very_large_node_count (0.05s)\n --- PASS: TestNatsHandleNodeStateEdgeCases/timestamp_in_past (0.05s)\n=== RUN TestNatsHandleStartJobDuplicatePrevention\n<6>[INFO] 2026/03/16 11:52:39 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 11:52:39 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 11:52:39 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 11:52:39 nats.go:297: NATS: new job (id: 1): cluster=testcluster, jobId=5001, user=testuser, startTime=1234567890\n<3>[ERROR] 2026/03/16 11:52:40 /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:269: NATS start job: job with jobId 5001, cluster testcluster already exists (dbid: 113234315163880)\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:238: All archive jobs completed successfully\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:121: Archive channel closed, worker exiting\n--- PASS: TestNatsHandleStartJobDuplicatePrevention (0.25s)\n=== RUN TestRestApi\n<6>[INFO] 2026/03/16 11:52:40 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 11:52:40 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 11:52:40 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 11:52:40 rest.go:88: Enabling REST start/stop job API\n=== RUN TestRestApi/StartJob\n<6>[INFO] 2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789\n=== RUN TestRestApi/StopJob\n<4>[WARNING] 2026/03/16 11:52:40 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 11:52:40 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=123, user=testuser, startTime=123456789, duration=1000, state=completed\n=== RUN TestRestApi/CheckArchive\n=== RUN TestRestApi/CheckDoubleStart\n<4>[WARNING] 2026/03/16 11:52:40 rest.go:187: REST ERROR : a job with that jobId, cluster and startTime already exists: dbid: 1, jobid: 123\n=== RUN TestRestApi/StartJobFailed\n<6>[INFO] 2026/03/16 11:52:40 job.go:779: new job (id: 1): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678\n<6>[INFO] 2026/03/16 11:52:40 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN TestRestApi/StopJobFailed\n<4>[WARNING] 2026/03/16 11:52:41 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 11:52:41 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=12345, user=testuser, startTime=12345678, duration=10000, state=failed\n=== RUN TestRestApi/GetUsedNodesNoRunning\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO] 2026/03/16 11:52:41 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestRestApi (1.05s)\n --- PASS: TestRestApi/StartJob (0.00s)\n --- PASS: TestRestApi/StopJob (0.00s)\n --- PASS: TestRestApi/CheckArchive (0.00s)\n --- PASS: TestRestApi/CheckDoubleStart (0.00s)\n --- PASS: TestRestApi/StartJobFailed (0.00s)\n --- PASS: TestRestApi/StopJobFailed (0.00s)\n --- PASS: TestRestApi/GetUsedNodesNoRunning (0.00s)\n=== RUN TestStopJobWithReusedJobId\n<6>[INFO] 2026/03/16 11:52:41 migration.go:122: Legacy database without version or missing database file!\n<6>[INFO] 2026/03/16 11:52:41 migration.go:129: unsupported database version 0, need 11.\nPlease backup your database file and run cc-backend -migrate-db\n<6>[INFO] 2026/03/16 11:52:41 dbConnection.go:96: SQLite config: cache_size=2048MB/conn, soft_heap_limit=16384MB, max_conns=4\n<6>[INFO] 2026/03/16 11:52:41 rest.go:88: Enabling REST start/stop job API\n=== RUN TestStopJobWithReusedJobId/StartFirstJob\n<6>[INFO] 2026/03/16 11:52:41 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000\n=== RUN TestStopJobWithReusedJobId/StopFirstJobAsFailed\n<4>[WARNING] 2026/03/16 11:52:42 job.go:162: Error while scanning rows (Job): sql: no rows in result set\n<6>[INFO] 2026/03/16 11:52:42 job.go:1035: archiving job... (dbid: 1): cluster=testcluster, jobId=999, user=testuser, startTime=200000000, duration=1000, state=failed\n<6>[INFO] 2026/03/16 11:52:42 archiveWorker.go:165: archiving job (dbid: 1) successful\n=== RUN TestStopJobWithReusedJobId/StartSecondJob\n<6>[INFO] 2026/03/16 11:52:43 job.go:779: new job (id: 1): cluster=testcluster, jobId=999, user=testuser, startTime=300000000\n=== RUN TestStopJobWithReusedJobId/StopSecondJobBeforeSync\n<6>[INFO] 2026/03/16 11:52:43 job.go:1026: transferred cached job to main table: old id 1 -> new id 2 (jobId=999)\n<6>[INFO] 2026/03/16 11:52:43 job.go:1035: archiving job... (dbid: 2): cluster=testcluster, jobId=999, user=testuser, startTime=300000000, duration=1000, state=completed\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:223: Initiating archiver shutdown...\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:165: archiving job (dbid: 2) successful\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:121: Archive channel closed, worker exiting\n<6>[INFO] 2026/03/16 11:52:43 archiveWorker.go:238: All archive jobs completed successfully\n--- PASS: TestStopJobWithReusedJobId (2.04s)\n --- PASS: TestStopJobWithReusedJobId/StartFirstJob (0.00s)\n --- PASS: TestStopJobWithReusedJobId/StopFirstJobAsFailed (0.00s)\n --- PASS: TestStopJobWithReusedJobId/StartSecondJob (0.00s)\n --- PASS: TestStopJobWithReusedJobId/StopSecondJobBeforeSync (0.00s)\nPASS\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.036s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"10010e78-c6cf-4585-9eee-1cfad80e73a6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"591a630b-c031-4486-9d1e-6b3c0d55d8dc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Hut5kRehCFdXXX9fKfXcm4","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of the changes:\n\n### `internal/config/config.go`\n- Added `QueueGroup`, `JobConcurrency`, and `NodeConcurrency` fields to `NATSConfig`\n\n### `internal/api/nats.go`\n- **Replaced semaphore pattern with channel-based worker pool**: `jobSem`/`nodeSem` channels replaced by `jobCh`/`nodeCh` message channels with dedicated worker goroutines\n- **Configurable concurrency**: `NewNatsAPI()` reads `JobConcurrency` (default 8) and `NodeConcurrency` (default 2) from config to set channel buffer size and worker count\n- **Queue group support**: New `subscribe()` helper uses `SubscribeQueue()` when `QueueGroup` is configured, falls back to `Subscribe()` otherwise\n- **Architecture**: NATS callbacks now push to buffered channels; N worker goroutines per channel consume and process messages, decoupling delivery from processing\n- Removed semaphore acquire/release from `handleJobEvent` and `handleNodeState`"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2934,"cache_read_input_tokens":46349,"output_tokens":260,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2934,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dgojhzW1PAmGtK12Br","type":"assistant","uuid":"52a0420e-1f46-41a8-89cb-5ccefd38b8a4","timestamp":"2026-03-16T10:52:50.998Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"52a0420e-1f46-41a8-89cb-5ccefd38b8a4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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+{"parentUuid":"1add6bd4-a28e-4f1a-8bda-a31d16108198","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01FveJNRtPJBBc9b2vt1jPV9","toolUseID":"toolu_01FveJNRtPJBBc9b2vt1jPV9","timestamp":"2026-03-16T10:55:10.203Z","uuid":"5e08660c-2602-48df-ab8e-d50bc58422f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"1add6bd4-a28e-4f1a-8bda-a31d16108198","isSidechain":false,"promptId":"199b3d72-f5b0-4b75-86a0-07c82c987e1a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FveJNRtPJBBc9b2vt1jPV9","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// natsMessage wraps a raw NATS message with its subject for channel-based processing.\n 28→type natsMessage struct {\n 29→\tsubject string\n 30→\tdata []byte\n 31→}\n 32→\n 33→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 34→// It mirrors the functionality of the REST API but uses NATS messaging with\n 35→// InfluxDB line protocol as the message format.\n 36→//\n 37→// # Message Format\n 38→//\n 39→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 40→// with the following structure:\n 41→//\n 42→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 43→//\n 44→// # Job Events\n 45→//\n 46→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 47→//\n 48→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 49→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 50→//\n 51→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 52→//\n 53→// Example job start message:\n 54→//\n 55→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 56→//\n 57→// # Node State Events\n 58→//\n 59→// Node state updates use the \"nodestate\" measurement with cluster information:\n 60→//\n 61→//\tnodestate event=\"{...JSON payload...}\" \n 62→//\n 63→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 64→//\n 65→// Example node state message:\n 66→//\n 67→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 68→type NatsAPI struct {\n 69→\tJobRepository *repository.JobRepository\n 70→\t// RepositoryMutex protects job creation operations from race conditions\n 71→\t// when checking for duplicate jobs during startJob calls.\n 72→\tRepositoryMutex sync.Mutex\n 73→\t// jobCh receives job event messages for processing by worker goroutines.\n 74→\tjobCh chan natsMessage\n 75→\t// nodeCh receives node state messages for processing by worker goroutines.\n 76→\tnodeCh chan natsMessage\n 77→}\n 78→\n 79→// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n 80→// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\n 81→func NewNatsAPI() *NatsAPI {\n 82→\tjobConc := 8\n 83→\tnodeConc := 2\n 84→\n 85→\tif s := config.Keys.APISubjects; s != nil {\n 86→\t\tif s.JobConcurrency > 0 {\n 87→\t\t\tjobConc = s.JobConcurrency\n 88→\t\t}\n 89→\t\tif s.NodeConcurrency > 0 {\n 90→\t\t\tnodeConc = s.NodeConcurrency\n 91→\t\t}\n 92→\t}\n 93→\n 94→\tapi := &NatsAPI{\n 95→\t\tJobRepository: repository.GetJobRepository(),\n 96→\t\tjobCh: make(chan natsMessage, jobConc),\n 97→\t\tnodeCh: make(chan natsMessage, nodeConc),\n 98→\t}\n 99→\n 100→\t// Start worker goroutines\n 101→\tfor range jobConc {\n 102→\t\tgo api.jobWorker()\n 103→\t}\n 104→\tfor range nodeConc {\n 105→\t\tgo api.nodeWorker()\n 106→\t}\n 107→\n 108→\treturn api\n 109→}\n 110→\n 111→// jobWorker processes job event messages from the job channel.\n 112→func (api *NatsAPI) jobWorker() {\n 113→\tfor msg := range api.jobCh {\n 114→\t\tapi.handleJobEvent(msg.subject, msg.data)\n 115→\t}\n 116→}\n 117→\n 118→// nodeWorker processes node state messages from the node channel.\n 119→func (api *NatsAPI) nodeWorker() {\n 120→\tfor msg := range api.nodeCh {\n 121→\t\tapi.handleNodeState(msg.subject, msg.data)\n 122→\t}\n 123→}\n 124→\n 125→// subscribe registers a NATS subscription using queue groups when configured.\n 126→func subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n 127→\tif queueGroup != \"\" {\n 128→\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n 129→\t}\n 130→\treturn client.Subscribe(subject, handler)\n 131→}\n 132→\n 133→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 134→// Messages are delivered to buffered channels and processed by worker goroutines.\n 135→// Returns an error if the NATS client is not available or subscription fails.\n 136→func (api *NatsAPI) StartSubscriptions() error {\n 137→\tclient := nats.GetClient()\n 138→\tif client == nil {\n 139→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 140→\t\treturn nil\n 141→\t}\n 142→\n 143→\tif config.Keys.APISubjects != nil {\n 144→\t\ts := config.Keys.APISubjects\n 145→\t\tqg := s.QueueGroup\n 146→\n 147→\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n 148→\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n 149→\t\t}); err != nil {\n 150→\t\t\treturn err\n 151→\t\t}\n 152→\n 153→\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n 154→\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n 155→\t\t}); err != nil {\n 156→\t\t\treturn err\n 157→\t\t}\n 158→\n 159→\t\tcclog.Info(\"NATS API subscriptions started\")\n 160→\t}"}]},"uuid":"b7d5b7e0-2262-4044-bc46-42401d0d47b4","timestamp":"2026-03-16T10:55:10.203Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}","numLines":160,"startLine":1,"totalLines":468}},"sourceToolAssistantUUID":"1add6bd4-a28e-4f1a-8bda-a31d16108198","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"b7d5b7e0-2262-4044-bc46-42401d0d47b4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UYDhHSp1HEU4m5WaNVUbzU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UUkWkfShmSAenA6zh91ckj","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","old_string":"\tQueueGroup string `json:\"queue-group\"`\n\tJobConcurrency int `json:\"job-concurrency\"`","new_string":"\tJobConcurrency int `json:\"job-concurrency\"`"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2298,"cache_read_input_tokens":49549,"output_tokens":159,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2298,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dse3MijmtwHTHskpYJ","type":"assistant","uuid":"de4cc0e6-9823-41dc-8d83-bada919e8dc6","timestamp":"2026-03-16T10:55:14.476Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"de4cc0e6-9823-41dc-8d83-bada919e8dc6","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01UUkWkfShmSAenA6zh91ckj","toolUseID":"toolu_01UUkWkfShmSAenA6zh91ckj","timestamp":"2026-03-16T10:55:14.488Z","uuid":"cba5a359-f03c-4048-8f67-67eb546ce36b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"de4cc0e6-9823-41dc-8d83-bada919e8dc6","isSidechain":false,"promptId":"199b3d72-f5b0-4b75-86a0-07c82c987e1a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UUkWkfShmSAenA6zh91ckj","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go has been updated successfully."}]},"uuid":"8e3e234d-c0aa-4dee-9c49-c8359bf067d5","timestamp":"2026-03-16T10:55:14.488Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","oldString":"\tQueueGroup string `json:\"queue-group\"`\n\tJobConcurrency int `json:\"job-concurrency\"`","newString":"\tJobConcurrency int `json:\"job-concurrency\"`","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n\tBusyTimeoutMs int `json:\"busy-timeout-ms\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n\tQueueGroup string `json:\"queue-group\"`\n\tJobConcurrency int `json:\"job-concurrency\"`\n\tNodeConcurrency int `json:\"node-concurrency\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":117,"oldLines":7,"newStart":117,"newLines":6,"lines":[" type NATSConfig struct {"," SubjectJobEvent string `json:\"subject-job-event\"`"," SubjectNodeState string `json:\"subject-node-state\"`","- QueueGroup string `json:\"queue-group\"`"," JobConcurrency int `json:\"job-concurrency\"`"," NodeConcurrency int `json:\"node-concurrency\"`"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"de4cc0e6-9823-41dc-8d83-bada919e8dc6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"8e3e234d-c0aa-4dee-9c49-c8359bf067d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0187fwzzTVmsRAhb3sbP3TFd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VirGe4kP2gFSDywTcS7wJp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}","new_string":"// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":221,"cache_read_input_tokens":51847,"output_tokens":786,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":221,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dsxCktWkEKvEdSJKwY","type":"assistant","uuid":"fb007c06-205a-4491-a546-a72ff77aa5f8","timestamp":"2026-03-16T10:55:23.169Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"fb007c06-205a-4491-a546-a72ff77aa5f8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01VirGe4kP2gFSDywTcS7wJp","toolUseID":"toolu_01VirGe4kP2gFSDywTcS7wJp","timestamp":"2026-03-16T10:55:23.182Z","uuid":"d09aae86-e490-4af2-a0d4-d4214b02ed71","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"fb007c06-205a-4491-a546-a72ff77aa5f8","isSidechain":false,"promptId":"199b3d72-f5b0-4b75-86a0-07c82c987e1a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VirGe4kP2gFSDywTcS7wJp","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"3b578665-73e0-429d-91ac-7bcf2d1d8c5f","timestamp":"2026-03-16T10:55:23.182Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}","newString":"// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// natsMessage wraps a raw NATS message with its subject for channel-based processing.\ntype natsMessage struct {\n\tsubject string\n\tdata []byte\n}\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobCh receives job event messages for processing by worker goroutines.\n\tjobCh chan natsMessage\n\t// nodeCh receives node state messages for processing by worker goroutines.\n\tnodeCh chan natsMessage\n}\n\n// NewNatsAPI creates a new NatsAPI instance with channel-based worker pools.\n// Concurrency is configured via NATSConfig (defaults: JobConcurrency=8, NodeConcurrency=2).\nfunc NewNatsAPI() *NatsAPI {\n\tjobConc := 8\n\tnodeConc := 2\n\n\tif s := config.Keys.APISubjects; s != nil {\n\t\tif s.JobConcurrency > 0 {\n\t\t\tjobConc = s.JobConcurrency\n\t\t}\n\t\tif s.NodeConcurrency > 0 {\n\t\t\tnodeConc = s.NodeConcurrency\n\t\t}\n\t}\n\n\tapi := &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobCh: make(chan natsMessage, jobConc),\n\t\tnodeCh: make(chan natsMessage, nodeConc),\n\t}\n\n\t// Start worker goroutines\n\tfor range jobConc {\n\t\tgo api.jobWorker()\n\t}\n\tfor range nodeConc {\n\t\tgo api.nodeWorker()\n\t}\n\n\treturn api\n}\n\n// jobWorker processes job event messages from the job channel.\nfunc (api *NatsAPI) jobWorker() {\n\tfor msg := range api.jobCh {\n\t\tapi.handleJobEvent(msg.subject, msg.data)\n\t}\n}\n\n// nodeWorker processes node state messages from the node channel.\nfunc (api *NatsAPI) nodeWorker() {\n\tfor msg := range api.nodeCh {\n\t\tapi.handleNodeState(msg.subject, msg.data)\n\t}\n}\n\n// subscribe registers a NATS subscription using queue groups when configured.\nfunc subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {\n\tif queueGroup != \"\" {\n\t\treturn client.SubscribeQueue(subject, queueGroup, handler)\n\t}\n\treturn client.Subscribe(subject, handler)\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Messages are delivered to buffered channels and processed by worker goroutines.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\t\ts := config.Keys.APISubjects\n\t\tqg := s.QueueGroup\n\n\t\tif err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {\n\t\t\tapi.jobCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {\n\t\t\tapi.nodeCh <- natsMessage{subject: subject, data: data}\n\t\t}); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":122,"oldLines":14,"newStart":122,"newLines":6,"lines":[" }"," }"," ","-// subscribe registers a NATS subscription using queue groups when configured.","-func subscribe(client *nats.Client, subject string, queueGroup string, handler func(string, []byte)) error {","- if queueGroup != \"\" {","- return client.SubscribeQueue(subject, queueGroup, handler)","- }","- return client.Subscribe(subject, handler)","-}","-"," // StartSubscriptions registers all NATS subscriptions for Job and Node APIs."," // Messages are delivered to buffered channels and processed by worker goroutines."," // Returns an error if the NATS client is not available or subscription fails."]},{"oldStart":142,"oldLines":15,"newStart":134,"newLines":14,"lines":[" "," if config.Keys.APISubjects != nil {"," s := config.Keys.APISubjects","- qg := s.QueueGroup"," ","- if err := subscribe(client, s.SubjectJobEvent, qg, func(subject string, data []byte) {","+ if err := client.Subscribe(s.SubjectJobEvent, func(subject string, data []byte) {"," api.jobCh <- natsMessage{subject: subject, data: data}"," }); err != nil {"," return err"," }"," ","- if err := subscribe(client, s.SubjectNodeState, qg, func(subject string, data []byte) {","+ if err := client.Subscribe(s.SubjectNodeState, func(subject string, data []byte) {"," api.nodeCh <- natsMessage{subject: subject, data: data}"," }); err != nil {"," return err"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"fb007c06-205a-4491-a546-a72ff77aa5f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"3b578665-73e0-429d-91ac-7bcf2d1d8c5f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DVVBAt2mrUeZXjWcybEGVB","type":"message","role":"assistant","content":[{"type":"text","text":"There's a stale reference somewhere. Let me check."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":52068,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":933},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dtbSco7vUtmUw7cbBa","type":"assistant","uuid":"9e351fa9-42c0-4dfe-b937-d9c9aa43fad7","timestamp":"2026-03-16T10:55:26.917Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"9e351fa9-42c0-4dfe-b937-d9c9aa43fad7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DVVBAt2mrUeZXjWcybEGVB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019KGkqqSGfoPVmHVG3ZFMw3","name":"Grep","input":{"pattern":"QueueGroup|queue.group|queueGroup","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":52068,"output_tokens":136,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":933,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dtbSco7vUtmUw7cbBa","type":"assistant","uuid":"45aa9f06-86d7-4487-b174-f0fd4b232411","timestamp":"2026-03-16T10:55:27.667Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"45aa9f06-86d7-4487-b174-f0fd4b232411","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_019KGkqqSGfoPVmHVG3ZFMw3","toolUseID":"toolu_019KGkqqSGfoPVmHVG3ZFMw3","timestamp":"2026-03-16T10:55:27.678Z","uuid":"0ec4afa4-b184-45c5-b501-e4e9e95cbafb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"45aa9f06-86d7-4487-b174-f0fd4b232411","isSidechain":false,"promptId":"199b3d72-f5b0-4b75-86a0-07c82c987e1a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019KGkqqSGfoPVmHVG3ZFMw3","type":"tool_result","content":"No matches found"}]},"uuid":"e0cee11e-e4d4-4ebb-b59d-ae1cf784aba6","timestamp":"2026-03-16T10:55:27.677Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"","numLines":0},"sourceToolAssistantUUID":"45aa9f06-86d7-4487-b174-f0fd4b232411","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"e0cee11e-e4d4-4ebb-b59d-ae1cf784aba6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WdeMnPeNjzpXg1xRN7gApv","type":"message","role":"assistant","content":[{"type":"text","text":"No matches — the diagnostic was stale. Let me verify the build."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":151,"cache_read_input_tokens":53001,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":151},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6dtvg1SrrtKx6bA579X","type":"assistant","uuid":"0113ced1-abe1-49d8-bc61-2546c0ae20f7","timestamp":"2026-03-16T10:55:30.725Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"0113ced1-abe1-49d8-bc61-2546c0ae20f7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WdeMnPeNjzpXg1xRN7gApv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01G2zJ5G8NmYC1S9mGnwqT5z","name":"Bash","input":{"command":"go build ./... && go test ./internal/api/... -count=1 -timeout 120s 2>&1 | tail -5","description":"Build and run tests","timeout":180000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":151,"cache_read_input_tokens":53001,"output_tokens":137,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":151,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dtvg1SrrtKx6bA579X","type":"assistant","uuid":"da57ee10-6088-462d-bf2f-bf9c805b907f","timestamp":"2026-03-16T10:55:32.072Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"da57ee10-6088-462d-bf2f-bf9c805b907f","isSidechain":false,"promptId":"199b3d72-f5b0-4b75-86a0-07c82c987e1a","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G2zJ5G8NmYC1S9mGnwqT5z","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.038s","is_error":false}]},"uuid":"1925e733-a1a9-48f4-b2d1-d46bcd6ec227","timestamp":"2026-03-16T10:55:45.867Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.038s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"da57ee10-6088-462d-bf2f-bf9c805b907f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} +{"parentUuid":"1925e733-a1a9-48f4-b2d1-d46bcd6ec227","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PLorYG6tLsaVAazdmnSkph","type":"message","role":"assistant","content":[{"type":"text","text":"Done. Removed the `QueueGroup` field from `NATSConfig` and the `subscribe()` helper function. `StartSubscriptions()` now uses `client.Subscribe()` directly."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":174,"cache_read_input_tokens":53152,"output_tokens":46,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":174,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6dvGQgy8Q9PZU4q2cbu","type":"assistant","uuid":"2f4e75bc-abc3-4905-a764-b9be3b8fcefd","timestamp":"2026-03-16T10:55:50.347Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d4fbf0d1-89b3-4ac5-85d3-56adb5d38709","version":"2.1.76","gitBranch":"hotfix","slug":"mossy-wondering-dragonfly"} 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00000000..23659732 --- /dev/null +++ b/3a/40b75edd68/3/metadata.json @@ -0,0 +1,34 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "3a40b75edd68", + "session_id": "d4fbf0d1-89b3-4ac5-85d3-56adb5d38709", + "strategy": "manual-commit", + "created_at": "2026-03-16T11:13:15.806159Z", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "internal/api/nats.go", + "internal/config/config.go" + ], + "agent": "Claude Code", + "turn_id": "c0f821b95a62", + "token_usage": { + "input_tokens": 21, + "cache_creation_tokens": 39022, + "cache_read_tokens": 735286, + "output_tokens": 6440, + "api_call_count": 17 + }, + "session_metrics": { + "turn_count": 2 + }, + "initial_attribution": { + "calculated_at": "2026-03-16T11:13:15.703018Z", + "agent_lines": 104, + "human_added": 24, + "human_modified": 0, + "human_removed": 0, + "total_committed": 128, + "agent_percentage": 81.25 + } +} diff --git a/3a/40b75edd68/3/prompt.txt b/3a/40b75edd68/3/prompt.txt new file mode 100644 index 00000000..1f14eec6 --- /dev/null +++ b/3a/40b75edd68/3/prompt.txt @@ -0,0 +1 @@ +Remove Queue group support again \ No newline at end of file diff --git a/3a/40b75edd68/metadata.json b/3a/40b75edd68/metadata.json new file mode 100644 index 00000000..d4b77e9c --- /dev/null +++ b/3a/40b75edd68/metadata.json @@ -0,0 +1,46 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "3a40b75edd68", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 5, + "files_touched": [ + "CLAUDE.md", + "internal/api/nats.go", + "internal/config/config.go", + "internal/config/schema.go" + ], + "sessions": [ + { + "metadata": "/3a/40b75edd68/0/metadata.json", + "transcript": "/3a/40b75edd68/0/full.jsonl", + "content_hash": "/3a/40b75edd68/0/content_hash.txt", + "prompt": "/3a/40b75edd68/0/prompt.txt" + }, + { + "metadata": "/3a/40b75edd68/1/metadata.json", + "transcript": "/3a/40b75edd68/1/full.jsonl", + "content_hash": "/3a/40b75edd68/1/content_hash.txt", + "prompt": "/3a/40b75edd68/1/prompt.txt" + }, + { + "metadata": "/3a/40b75edd68/2/metadata.json", + "transcript": "/3a/40b75edd68/2/full.jsonl", + "content_hash": "/3a/40b75edd68/2/content_hash.txt", + "prompt": "/3a/40b75edd68/2/prompt.txt" + }, + { + "metadata": "/3a/40b75edd68/3/metadata.json", + "transcript": "/3a/40b75edd68/3/full.jsonl", + "content_hash": "/3a/40b75edd68/3/content_hash.txt", + "prompt": "/3a/40b75edd68/3/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 3124, + "cache_creation_tokens": 226039, + "cache_read_tokens": 6243570, + "output_tokens": 31500, + "api_call_count": 87 + } +} diff --git a/3d/8def28e96e/0/content_hash.txt b/3d/8def28e96e/0/content_hash.txt new file mode 100644 index 00000000..bf5ee980 --- /dev/null +++ b/3d/8def28e96e/0/content_hash.txt @@ -0,0 +1 @@ +sha256:053d8c49f00ba77e145d29e40ce5c4f692318aaef3e55c171ef43364880e7700 \ No newline at end of file diff --git a/3d/8def28e96e/0/full.jsonl b/3d/8def28e96e/0/full.jsonl new file mode 100644 index 00000000..542f59bb --- /dev/null +++ b/3d/8def28e96e/0/full.jsonl @@ -0,0 +1,49 @@ +{"type":"file-history-snapshot","messageId":"814285c4-5115-4f8b-9368-16ee4ce3805f","snapshot":{"messageId":"814285c4-5115-4f8b-9368-16ee4ce3805f","trackedFileBackups":{},"timestamp":"2026-03-13T12:11:04.497Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"cbbe8099-7c87-4001-a788-ac646a001024","toolUseID":"cbbe8099-7c87-4001-a788-ac646a001024","timestamp":"2026-03-13T12:11:04.447Z","uuid":"cd79b4a2-2162-42d4-b4c3-1ef39e85bd9b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"cd79b4a2-2162-42d4-b4c3-1ef39e85bd9b","isSidechain":false,"promptId":"8f161371-a3a5-4023-9aab-25352d2340e1","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Step 5: Add covering indexes for status queries\n\n## Problem\nMigration 12 indexes: `(cluster, hpc_user, start_time, ..., job_state, ...)` — `job_state` at pos 5, can't seek.\n3-col indexes `(cluster, job_state, hpc_user)` — correct order but not covering.\n\n## Changes\n- **New `internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql`**:\n - `jobs_cluster_jobstate_user_stats ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_project_stats ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_subcluster_stats ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_user` (subsumed)\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_project` (subsumed)\n- **New `internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql`**: reverse\n- **`internal/repository/migration.go:29`**: `Version` 12 → 13\n\n## Verify\n```bash\ngo build ./cmd/cc-backend\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/8522172b-31dc-406b-a928-9f9a227eea85.jsonl"},"uuid":"814285c4-5115-4f8b-9368-16ee4ce3805f","timestamp":"2026-03-13T12:11:00.944Z","planContent":"# Step 5: Add covering indexes for status queries\n\n## Problem\nMigration 12 indexes: `(cluster, hpc_user, start_time, ..., job_state, ...)` — `job_state` at pos 5, can't seek.\n3-col indexes `(cluster, job_state, hpc_user)` — correct order but not covering.\n\n## Changes\n- **New `internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql`**:\n - `jobs_cluster_jobstate_user_stats ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_project_stats ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_subcluster_stats ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_user` (subsumed)\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_project` (subsumed)\n- **New `internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql`**: reverse\n- **`internal/repository/migration.go:29`**: `Version` 12 → 13\n\n## Verify\n```bash\ngo build ./cmd/cc-backend\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"814285c4-5115-4f8b-9368-16ee4ce3805f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01M5QNLJNXasCkdw5fk7Y8No","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me check the current migration version and existing indexes first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9831,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9831},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14EcCLwFfPSEfV6GneR","type":"assistant","uuid":"f37ae78c-5fc6-47fb-af0b-a0433719b1c1","timestamp":"2026-03-13T12:11:06.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n 25→// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n 26→// - Version 10: Node table\n 27→//\n 28→// Migration files are embedded at build time from the migrations directory.\n 29→const Version uint = 12\n 30→\n 31→//go:embed migrations/*\n 32→var migrationFiles embed.FS\n 33→\n 34→// checkDBVersion verifies that the database schema version matches the expected version.\n 35→// This is called automatically during Connect() to ensure schema compatibility."}]},"uuid":"4dc0a694-510b-4760-af27-191478e36ca7","timestamp":"2026-03-13T12:11:07.912Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 12\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.","numLines":35,"startLine":1,"totalLines":206}},"sourceToolAssistantUUID":"29f7d466-6795-43b6-9afa-be6468445404","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"4dc0a694-510b-4760-af27-191478e36ca7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01M5QNLJNXasCkdw5fk7Y8No","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014PiMX36hSy9BFdMBsZp9ZB","name":"Bash","input":{"command":"ls /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/","description":"List existing 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aggregated columns to avoid main table lookups entirely.\n 4→\n 5→CREATE INDEX IF NOT EXISTS jobs_cluster_user_starttime_stats\n 6→ ON job (cluster, hpc_user, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n 7→\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_project_starttime_stats\n 9→ ON job (cluster, project, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n 10→\n 11→PRAGMA optimize;\n 12→"}]},"uuid":"a9fe1b61-073a-49b7-8676-671335b36054","timestamp":"2026-03-13T12:11:14.781Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/12_stats-covering-index.up.sql","content":"-- Migration 12: Add covering index for grouped stats queries\n-- Column order: cluster (equality), hpc_user (GROUP BY), start_time (range scan)\n-- Includes aggregated columns to avoid main table lookups entirely.\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_user_starttime_stats\n ON job (cluster, hpc_user, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_project_starttime_stats\n ON job (cluster, project, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n\nPRAGMA optimize;\n","numLines":12,"startLine":1,"totalLines":12}},"sourceToolAssistantUUID":"f4f6e3a4-3273-4734-bb90-d27fca2e6df5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"a9fe1b61-073a-49b7-8676-671335b36054","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UrrRKjSPwrVHL4BBJP9a9o","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the context. Let me create the migration files and update the version."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":348,"cache_read_input_tokens":19947,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":348},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14FNCzW7Z6DpHkJWp39","type":"assistant","uuid":"8de88521-b644-4020-a283-7afd98a5afb3","timestamp":"2026-03-13T12:11:17.117Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 12\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); 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+{"parentUuid":"306e5ac8-c6ed-4bbc-a1c2-c76bb044d6ab","isSidechain":false,"promptId":"7fa41701-bbf0-48f4-9912-1687339fdb4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MdaVdzq4ruPeEkkRKiKnB1","type":"tool_result","content":"---UNSTAGED---\ndiff --git a/internal/repository/migration.go b/internal/repository/migration.go\nindex c05ca42f..5a530d2d 100644\n--- a/internal/repository/migration.go\n+++ b/internal/repository/migration.go\n@@ -21,12 +21,13 @@ import (\n // is added to internal/repository/migrations/sqlite3/.\n //\n // Version history:\n+// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n // - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n // - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n // - Version 10: Node table\n //\n // Migration files are embedded at build time from the migrations directory.\n-const Version uint = 12\n+const Version uint = 13\n \n //go:embed migrations/*\n var migrationFiles embed.FS\ndiff --git a/web/frontend/src/status/dashdetails/UsageDash.svelte b/web/frontend/src/status/dashdetails/UsageDash.svelte\nindex 2a9b3037..89e6977c 100644\n--- a/web/frontend/src/status/dashdetails/UsageDash.svelte\n+++ b/web/frontend/src/status/dashdetails/UsageDash.svelte\n@@ -8,7 +8,7 @@\n - `useAltColors Bool?`: Use alternative color set [Default: false]\n -->\n \n- \n \n \n \n- \n+ \n \n \n \n \n- \n- Duration Bin Size\n- \n+ Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n@@ -237,24 +215,26 @@\n {\n- pagingState = { page:1, itemsPerPage: 10 };\n+ pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n \n \n-
\n+
\n \n \n-{#if $topJobsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topJobsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n \n
\n-

\n- Top Users: Jobs\n-

\n+

Top Users: Jobs

\n tu['totalJobs'],\n+ quantities={$topStatsQuery.data.topUserJobs.map(\n+ (tu) => tu[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topJobsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -291,11 +271,17 @@\n User\n Jobs\n \n- {#each $topJobsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -306,25 +292,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalJobs']}\n+ {tu[\"totalJobs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Jobs\n-

\n+

Top Projects: Jobs

\n tp['totalJobs'],\n+ sliceLabel={\"Jobs\"}\n+ quantities={$topStatsQuery.data.topProjectJobs.map(\n+ (tp) => tp[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topJobsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -334,34 +320,44 @@\n Project\n Jobs\n \n- {#each $topJobsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalJobs']}\n+ {tp[\"totalJobs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render job status charts: No data!\n+ Cannot render job status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topNodesQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topNodesQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: Nodes\n-

\n+

Top Users: Nodes

\n tu['totalNodes'],\n+ quantities={$topStatsQuery.data.topUserNodes.map(\n+ (tu) => tu[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topNodesQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -395,11 +391,17 @@\n User\n Nodes\n \n- {#each $topNodesQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -410,25 +412,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalNodes']}\n+ {tu[\"totalNodes\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Nodes\n-

\n+

Top Projects: Nodes

\n tp['totalNodes'],\n+ sliceLabel={\"Nodes\"}\n+ quantities={$topStatsQuery.data.topProjectNodes.map(\n+ (tp) => tp[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topNodesQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -438,34 +440,44 @@\n Project\n Nodes\n \n- {#each $topNodesQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalNodes']}\n+ {tp[\"totalNodes\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render node status charts: No data!\n+ Cannot render node status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topAccsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topAccsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: GPUs\n-

\n+

Top Users: GPUs

\n tu['totalAccs'],\n+ quantities={$topStatsQuery.data.topUserAccs.map(\n+ (tu) => tu[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topAccsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -499,11 +511,17 @@\n User\n GPUs\n \n- {#each $topAccsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -514,25 +532,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalAccs']}\n+ {tu[\"totalAccs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: GPUs\n-

\n+

Top Projects: GPUs

\n tp['totalAccs'],\n+ sliceLabel={\"GPUs\"}\n+ quantities={$topStatsQuery.data.topProjectAccs.map(\n+ (tp) => tp[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topAccsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -542,20 +560,29 @@\n Project\n GPUs\n \n- {#each $topAccsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalAccs']}\n+ {tp[\"totalAccs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render accelerator status charts: No data!\n-{/if}\n\\ No newline at end of file\n+ Cannot render accelerator status charts: No data!\n+{/if}\n+\n---UNTRACKED---\nOn branch hotfix\nYour branch is behind 'origin/hotfix' by 6 commits, and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/migration.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"fa28a8fa-14a4-4831-bdc1-bca34ad5b043","timestamp":"2026-03-13T12:12:45.283Z","toolUseResult":{"stdout":"---UNSTAGED---\ndiff --git a/internal/repository/migration.go b/internal/repository/migration.go\nindex c05ca42f..5a530d2d 100644\n--- a/internal/repository/migration.go\n+++ b/internal/repository/migration.go\n@@ -21,12 +21,13 @@ import (\n // is added to internal/repository/migrations/sqlite3/.\n //\n // Version history:\n+// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n // - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n // - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n // - Version 10: Node table\n //\n // Migration files are embedded at build time from the migrations directory.\n-const Version uint = 12\n+const Version uint = 13\n \n //go:embed migrations/*\n var migrationFiles embed.FS\ndiff --git a/web/frontend/src/status/dashdetails/UsageDash.svelte b/web/frontend/src/status/dashdetails/UsageDash.svelte\nindex 2a9b3037..89e6977c 100644\n--- a/web/frontend/src/status/dashdetails/UsageDash.svelte\n+++ b/web/frontend/src/status/dashdetails/UsageDash.svelte\n@@ -8,7 +8,7 @@\n - `useAltColors Bool?`: Use alternative color set [Default: false]\n -->\n \n- \n \n \n \n- \n+ \n \n \n \n \n- \n- Duration Bin Size\n- \n+ Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n@@ -237,24 +215,26 @@\n {\n- pagingState = { page:1, itemsPerPage: 10 };\n+ pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n \n \n-
\n+
\n \n \n-{#if $topJobsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topJobsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n \n
\n-

\n- Top Users: Jobs\n-

\n+

Top Users: Jobs

\n tu['totalJobs'],\n+ quantities={$topStatsQuery.data.topUserJobs.map(\n+ (tu) => tu[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topJobsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -291,11 +271,17 @@\n User\n Jobs\n \n- {#each $topJobsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -306,25 +292,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalJobs']}\n+ {tu[\"totalJobs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Jobs\n-

\n+

Top Projects: Jobs

\n tp['totalJobs'],\n+ sliceLabel={\"Jobs\"}\n+ quantities={$topStatsQuery.data.topProjectJobs.map(\n+ (tp) => tp[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topJobsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -334,34 +320,44 @@\n Project\n Jobs\n \n- {#each $topJobsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalJobs']}\n+ {tp[\"totalJobs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render job status charts: No data!\n+ Cannot render job status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topNodesQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topNodesQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: Nodes\n-

\n+

Top Users: Nodes

\n tu['totalNodes'],\n+ quantities={$topStatsQuery.data.topUserNodes.map(\n+ (tu) => tu[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topNodesQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -395,11 +391,17 @@\n User\n Nodes\n \n- {#each $topNodesQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -410,25 +412,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalNodes']}\n+ {tu[\"totalNodes\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Nodes\n-

\n+

Top Projects: Nodes

\n tp['totalNodes'],\n+ sliceLabel={\"Nodes\"}\n+ quantities={$topStatsQuery.data.topProjectNodes.map(\n+ (tp) => tp[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topNodesQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -438,34 +440,44 @@\n Project\n Nodes\n \n- {#each $topNodesQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalNodes']}\n+ {tp[\"totalNodes\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render node status charts: No data!\n+ Cannot render node status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topAccsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topAccsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: GPUs\n-

\n+

Top Users: GPUs

\n tu['totalAccs'],\n+ quantities={$topStatsQuery.data.topUserAccs.map(\n+ (tu) => tu[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topAccsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -499,11 +511,17 @@\n User\n GPUs\n \n- {#each $topAccsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -514,25 +532,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalAccs']}\n+ {tu[\"totalAccs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: GPUs\n-

\n+

Top Projects: GPUs

\n tp['totalAccs'],\n+ sliceLabel={\"GPUs\"}\n+ quantities={$topStatsQuery.data.topProjectAccs.map(\n+ (tp) => tp[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topAccsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -542,20 +560,29 @@\n Project\n GPUs\n \n- {#each $topAccsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalAccs']}\n+ {tp[\"totalAccs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render accelerator status charts: No data!\n-{/if}\n\\ No newline at end of file\n+ Cannot render accelerator status charts: No data!\n+{/if}\n+\n---UNTRACKED---\nOn branch hotfix\nYour branch is behind 'origin/hotfix' by 6 commits, and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/migration.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"306e5ac8-c6ed-4bbc-a1c2-c76bb044d6ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"705d1af0-744f-4a1d-855a-3d449f7b4725","isSidechain":false,"promptId":"7fa41701-bbf0-48f4-9912-1687339fdb4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NMcKbdVT6NEscmUGEjFo5H","type":"tool_result","content":"39ab1278 Make checkpointInterval an option config option again.\nb214e175 Add buffered I/O to WAL writes and fix MemoryCap comment\na4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations","is_error":false}]},"uuid":"8e78d982-39d5-44a2-9b68-974b176339bd","timestamp":"2026-03-13T12:12:45.319Z","toolUseResult":{"stdout":"39ab1278 Make checkpointInterval an option config option again.\nb214e175 Add buffered I/O to WAL writes and fix MemoryCap comment\na4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"705d1af0-744f-4a1d-855a-3d449f7b4725","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"8e78d982-39d5-44a2-9b68-974b176339bd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015xdCDMDdfnKmRWrpQrZ4n4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EpwCCkYICxgCKkC2tw+HK/2caBXFVAddb8LCOjechF3ouOwfcimFWK7i1w69UVDxcLeU3o5iAq3/Ny8U6xY/6M/ss25pJgpKMh6HEgxsRBZ+1Sb+dRqgKI8aDNbrTG5AiaczmXEUNyIw5HRBU4Uz6r4oYpHUzCyVo1+lhQ22UsR9n2ZNWplxx5sAVN1PJpBnkDgjg9erHuSIKoMBN3vY3ESS+cUsOwb42FtKK1K1O4F3i9Zs6DlVue1Fy79T+/NYOuV9TvjDf8nTCVoTtfVmaZ8AoMTaDgKzkPm7vQf7YZpePHO63rJWkAEK1yLmGncfbO8Kw0ufJsz5IwLAwbhpHua8azrdVSapF4YCnzL2dOQYlA1Pb854PI66GSp/COsYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9293,"cache_read_input_tokens":21875,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9293},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14N3BCtzjw9fixAAxAU","type":"assistant","uuid":"e0b0367d-2d21-4eea-a09a-db6dfdc8f5b3","timestamp":"2026-03-13T12:12:47.575Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"e0b0367d-2d21-4eea-a09a-db6dfdc8f5b3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015xdCDMDdfnKmRWrpQrZ4n4","type":"message","role":"assistant","content":[{"type":"text","text":"The `UsageDash.svelte` changes appear unrelated to the migration task. I'll only commit the migration files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9293,"cache_read_input_tokens":21875,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9293},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14N3BCtzjw9fixAAxAU","type":"assistant","uuid":"494fd8be-6e2b-4ec9-99b4-1eb27070705e","timestamp":"2026-03-13T12:12:48.527Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"494fd8be-6e2b-4ec9-99b4-1eb27070705e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015xdCDMDdfnKmRWrpQrZ4n4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LjAccujsvfJRRPKmYUrrjg","name":"Bash","input":{"command":"git add internal/repository/migration.go internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql","description":"Stage migration files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9293,"cache_read_input_tokens":21875,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":9293,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ14N3BCtzjw9fixAAxAU","type":"assistant","uuid":"2df0c6dc-8555-4e7b-b419-355d68124505","timestamp":"2026-03-13T12:12:49.159Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"2df0c6dc-8555-4e7b-b419-355d68124505","isSidechain":false,"promptId":"7fa41701-bbf0-48f4-9912-1687339fdb4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LjAccujsvfJRRPKmYUrrjg","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"2826253e-9828-4b44-b4c9-8cea40fb8cf2","timestamp":"2026-03-13T12:12:49.195Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2df0c6dc-8555-4e7b-b419-355d68124505","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"2826253e-9828-4b44-b4c9-8cea40fb8cf2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2TqMcumcJhCDe2xTjyxJC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016A3RNLtAbUUX6caUbDhiEf","name":"Bash","input":{"command":"git commit -m \"$(cat <<'EOF'\nAdd covering indexes for status/dashboard queries (migration 13)\n\nAdds composite covering indexes on (cluster, job_state, , ...)\nfor user, project, and subcluster groupings to enable index-only scans\nfor status views. Drops subsumed 3-column indexes.\n\nCo-Authored-By: Claude Opus 4.6 \nEOF\n)\"","description":"Commit migration 13"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":207,"cache_read_input_tokens":31168,"output_tokens":183,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":207,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ14NKj7fq2RNjo4v74sN","type":"assistant","uuid":"c0fac491-f802-4cc2-ad2d-024693833c56","timestamp":"2026-03-13T12:12:54.712Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c0fac491-f802-4cc2-ad2d-024693833c56","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"bb9c6f25-a42e-4205-83f2-9bc6d96a4dd4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016rtUEn1Df7eoYAUfCjvpQS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BPLq2FhDAJvaTSkxbY1jnD","name":"Bash","input":{"command":"git status","description":"Verify 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The `UsageDash.svelte` changes remain uncommitted as they're unrelated."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":227,"cache_read_input_tokens":31668,"output_tokens":32,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":227,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ14P9yWXnnMc61ufvekX","type":"assistant","uuid":"609cde8f-bbeb-46ba-a24e-4a1725fb1cef","timestamp":"2026-03-13T12:13:02.656Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"609cde8f-bbeb-46ba-a24e-4a1725fb1cef","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks 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"checkpoint_id": "3d8def28e96e", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 1, + "files_touched": [ + "internal/repository/migration.go", + "internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql", + "internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql" + ], + "sessions": [ + { + "metadata": "/3d/8def28e96e/0/metadata.json", + "transcript": "/3d/8def28e96e/0/full.jsonl", + "content_hash": "/3d/8def28e96e/0/content_hash.txt", + "prompt": "/3d/8def28e96e/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 13, + "cache_creation_tokens": 22594, + "cache_read_tokens": 184801, + "output_tokens": 2096, + "api_call_count": 9 + } +} diff --git a/40/d806a3240c/0/content_hash.txt b/40/d806a3240c/0/content_hash.txt new file mode 100644 index 00000000..b94ae41c --- /dev/null +++ b/40/d806a3240c/0/content_hash.txt @@ -0,0 +1 @@ +sha256:0cdf695871fa357c1e192aead00bb7fe9ded6824ee1fbd6a21111ec9d94379bc \ No newline at end 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`jobs_cluster_jobstate_user_stats ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_project_stats ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_subcluster_stats ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_user` (subsumed)\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_project` (subsumed)\n- **New `internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql`**: reverse\n- **`internal/repository/migration.go:29`**: `Version` 12 → 13\n\n## Verify\n```bash\ngo build ./cmd/cc-backend\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/8522172b-31dc-406b-a928-9f9a227eea85.jsonl"},"uuid":"814285c4-5115-4f8b-9368-16ee4ce3805f","timestamp":"2026-03-13T12:11:00.944Z","planContent":"# Step 5: Add covering indexes for status queries\n\n## Problem\nMigration 12 indexes: `(cluster, hpc_user, start_time, ..., job_state, ...)` — `job_state` at pos 5, can't seek.\n3-col indexes `(cluster, job_state, hpc_user)` — correct order but not covering.\n\n## Changes\n- **New `internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql`**:\n - `jobs_cluster_jobstate_user_stats ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_project_stats ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `jobs_cluster_jobstate_subcluster_stats ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc)`\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_user` (subsumed)\n - `DROP INDEX IF EXISTS jobs_cluster_jobstate_project` (subsumed)\n- **New `internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql`**: reverse\n- **`internal/repository/migration.go:29`**: `Version` 12 → 13\n\n## Verify\n```bash\ngo build ./cmd/cc-backend\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"814285c4-5115-4f8b-9368-16ee4ce3805f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01M5QNLJNXasCkdw5fk7Y8No","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me check the current migration version and existing indexes 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n 25→// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n 26→// - Version 10: Node table\n 27→//\n 28→// Migration files are embedded at build time from the migrations directory.\n 29→const Version uint = 12\n 30→\n 31→//go:embed migrations/*\n 32→var migrationFiles embed.FS\n 33→\n 34→// checkDBVersion verifies that the database schema version matches the expected version.\n 35→// This is called automatically during Connect() to ensure schema compatibility."}]},"uuid":"4dc0a694-510b-4760-af27-191478e36ca7","timestamp":"2026-03-13T12:11:07.912Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 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Let me create the migration files and update the version."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":348,"cache_read_input_tokens":19947,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":348},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14FNCzW7Z6DpHkJWp39","type":"assistant","uuid":"8de88521-b644-4020-a283-7afd98a5afb3","timestamp":"2026-03-13T12:11:17.117Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 12\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); 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13\n \n //go:embed migrations/*\n var migrationFiles embed.FS\ndiff --git a/web/frontend/src/status/dashdetails/UsageDash.svelte b/web/frontend/src/status/dashdetails/UsageDash.svelte\nindex 2a9b3037..89e6977c 100644\n--- a/web/frontend/src/status/dashdetails/UsageDash.svelte\n+++ b/web/frontend/src/status/dashdetails/UsageDash.svelte\n@@ -8,7 +8,7 @@\n - `useAltColors Bool?`: Use alternative color set [Default: false]\n -->\n \n- \n \n \n \n- \n+ \n \n \n \n \n- \n- Duration Bin Size\n- \n+ Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n@@ -237,24 +215,26 @@\n {\n- pagingState = { page:1, itemsPerPage: 10 };\n+ pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n \n \n-
\n+
\n \n \n-{#if $topJobsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topJobsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n \n
\n-

\n- Top Users: Jobs\n-

\n+

Top Users: Jobs

\n tu['totalJobs'],\n+ quantities={$topStatsQuery.data.topUserJobs.map(\n+ (tu) => tu[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topJobsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -291,11 +271,17 @@\n User\n Jobs\n \n- {#each $topJobsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -306,25 +292,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalJobs']}\n+ {tu[\"totalJobs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Jobs\n-

\n+

Top Projects: Jobs

\n tp['totalJobs'],\n+ sliceLabel={\"Jobs\"}\n+ quantities={$topStatsQuery.data.topProjectJobs.map(\n+ (tp) => tp[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topJobsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -334,34 +320,44 @@\n Project\n Jobs\n \n- {#each $topJobsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalJobs']}\n+ {tp[\"totalJobs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render job status charts: No data!\n+ Cannot render job status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topNodesQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topNodesQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: Nodes\n-

\n+

Top Users: Nodes

\n tu['totalNodes'],\n+ quantities={$topStatsQuery.data.topUserNodes.map(\n+ (tu) => tu[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topNodesQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -395,11 +391,17 @@\n User\n Nodes\n \n- {#each $topNodesQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -410,25 +412,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalNodes']}\n+ {tu[\"totalNodes\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Nodes\n-

\n+

Top Projects: Nodes

\n tp['totalNodes'],\n+ sliceLabel={\"Nodes\"}\n+ quantities={$topStatsQuery.data.topProjectNodes.map(\n+ (tp) => tp[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topNodesQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -438,34 +440,44 @@\n Project\n Nodes\n \n- {#each $topNodesQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalNodes']}\n+ {tp[\"totalNodes\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render node status charts: No data!\n+ Cannot render node status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topAccsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topAccsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: GPUs\n-

\n+

Top Users: GPUs

\n tu['totalAccs'],\n+ quantities={$topStatsQuery.data.topUserAccs.map(\n+ (tu) => tu[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topAccsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -499,11 +511,17 @@\n User\n GPUs\n \n- {#each $topAccsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -514,25 +532,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalAccs']}\n+ {tu[\"totalAccs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: GPUs\n-

\n+

Top Projects: GPUs

\n tp['totalAccs'],\n+ sliceLabel={\"GPUs\"}\n+ quantities={$topStatsQuery.data.topProjectAccs.map(\n+ (tp) => tp[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topAccsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -542,20 +560,29 @@\n Project\n GPUs\n \n- {#each $topAccsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalAccs']}\n+ {tp[\"totalAccs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render accelerator status charts: No data!\n-{/if}\n\\ No newline at end of file\n+ Cannot render accelerator status charts: No data!\n+{/if}\n+\n---UNTRACKED---\nOn branch hotfix\nYour branch is behind 'origin/hotfix' by 6 commits, and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/migration.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"fa28a8fa-14a4-4831-bdc1-bca34ad5b043","timestamp":"2026-03-13T12:12:45.283Z","toolUseResult":{"stdout":"---UNSTAGED---\ndiff --git a/internal/repository/migration.go b/internal/repository/migration.go\nindex c05ca42f..5a530d2d 100644\n--- a/internal/repository/migration.go\n+++ b/internal/repository/migration.go\n@@ -21,12 +21,13 @@ import (\n // is added to internal/repository/migrations/sqlite3/.\n //\n // Version history:\n+// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n // - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n // - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n // - Version 10: Node table\n //\n // Migration files are embedded at build time from the migrations directory.\n-const Version uint = 12\n+const Version uint = 13\n \n //go:embed migrations/*\n var migrationFiles embed.FS\ndiff --git a/web/frontend/src/status/dashdetails/UsageDash.svelte b/web/frontend/src/status/dashdetails/UsageDash.svelte\nindex 2a9b3037..89e6977c 100644\n--- a/web/frontend/src/status/dashdetails/UsageDash.svelte\n+++ b/web/frontend/src/status/dashdetails/UsageDash.svelte\n@@ -8,7 +8,7 @@\n - `useAltColors Bool?`: Use alternative color set [Default: false]\n -->\n \n- \n \n \n \n- \n+ \n \n \n \n \n- \n- Duration Bin Size\n- \n+ Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n@@ -237,24 +215,26 @@\n {\n- pagingState = { page:1, itemsPerPage: 10 };\n+ pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n \n \n-
\n+
\n \n \n-{#if $topJobsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topJobsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n \n
\n-

\n- Top Users: Jobs\n-

\n+

Top Users: Jobs

\n tu['totalJobs'],\n+ quantities={$topStatsQuery.data.topUserJobs.map(\n+ (tu) => tu[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topJobsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -291,11 +271,17 @@\n User\n Jobs\n \n- {#each $topJobsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -306,25 +292,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalJobs']}\n+ {tu[\"totalJobs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Jobs\n-

\n+

Top Projects: Jobs

\n tp['totalJobs'],\n+ sliceLabel={\"Jobs\"}\n+ quantities={$topStatsQuery.data.topProjectJobs.map(\n+ (tp) => tp[\"totalJobs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topJobsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -334,34 +320,44 @@\n Project\n Jobs\n \n- {#each $topJobsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalJobs']}\n+ {tp[\"totalJobs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render job status charts: No data!\n+ Cannot render job status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topNodesQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topNodesQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: Nodes\n-

\n+

Top Users: Nodes

\n tu['totalNodes'],\n+ quantities={$topStatsQuery.data.topUserNodes.map(\n+ (tu) => tu[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topNodesQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -395,11 +391,17 @@\n User\n Nodes\n \n- {#each $topNodesQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -410,25 +412,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalNodes']}\n+ {tu[\"totalNodes\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: Nodes\n-

\n+

Top Projects: Nodes

\n tp['totalNodes'],\n+ sliceLabel={\"Nodes\"}\n+ quantities={$topStatsQuery.data.topProjectNodes.map(\n+ (tp) => tp[\"totalNodes\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topNodesQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -438,34 +440,44 @@\n Project\n Nodes\n \n- {#each $topNodesQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalNodes']}\n+ {tp[\"totalNodes\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render node status charts: No data!\n+ Cannot render node status charts: No data!\n {/if}\n \n-
\n+
\n \n \n-{#if $topAccsQuery?.fetching || $nodeStatusQuery?.fetching}\n+{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n-{:else if $topAccsQuery?.data && $nodeStatusQuery?.data}\n+{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n
\n-

\n- Top Users: GPUs\n-

\n+

Top Users: GPUs

\n tu['totalAccs'],\n+ quantities={$topStatsQuery.data.topUserAccs.map(\n+ (tu) => tu[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n+ scrambleNames ? scramble(tu.id) : tu.id,\n )}\n- entities={$topAccsQuery.data.topUser.map((tu) => scrambleNames ? scramble(tu.id) : tu.id)}\n />\n
\n \n@@ -499,11 +511,17 @@\n User\n GPUs\n \n- {#each $topAccsQuery.data.topUser as tu, i}\n+ {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tu.id) : tu.id}\n \n \n@@ -514,25 +532,25 @@\n >{scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n- {tu['totalAccs']}\n+ {tu[\"totalAccs\"]}\n \n {/each}\n \n \n \n \n-

\n- Top Projects: GPUs\n-

\n+

Top Projects: GPUs

\n tp['totalAccs'],\n+ sliceLabel={\"GPUs\"}\n+ quantities={$topStatsQuery.data.topProjectAccs.map(\n+ (tp) => tp[\"totalAccs\"],\n+ )}\n+ entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n+ scrambleNames ? scramble(tp.id) : tp.id,\n )}\n- entities={$topAccsQuery.data.topProjects.map((tp) => scrambleNames ? scramble(tp.id) : tp.id)}\n />\n \n \n@@ -542,20 +560,29 @@\n Project\n GPUs\n \n- {#each $topAccsQuery.data.topProjects as tp, i}\n+ {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n- \n+ \n \n- {scrambleNames ? scramble(tp.id) : tp.id}\n \n \n- {tp['totalAccs']}\n+ {tp[\"totalAccs\"]}\n \n {/each}\n \n \n \n {:else}\n- Cannot render accelerator status charts: No data!\n-{/if}\n\\ No newline at end of file\n+ Cannot render accelerator status charts: No data!\n+{/if}\n+\n---UNTRACKED---\nOn branch hotfix\nYour branch is behind 'origin/hotfix' by 6 commits, and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/migration.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"306e5ac8-c6ed-4bbc-a1c2-c76bb044d6ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"705d1af0-744f-4a1d-855a-3d449f7b4725","isSidechain":false,"promptId":"7fa41701-bbf0-48f4-9912-1687339fdb4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NMcKbdVT6NEscmUGEjFo5H","type":"tool_result","content":"39ab1278 Make checkpointInterval an option config option again.\nb214e175 Add buffered I/O to WAL writes and fix MemoryCap comment\na4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations","is_error":false}]},"uuid":"8e78d982-39d5-44a2-9b68-974b176339bd","timestamp":"2026-03-13T12:12:45.319Z","toolUseResult":{"stdout":"39ab1278 Make checkpointInterval an option config option again.\nb214e175 Add buffered I/O to WAL writes and fix MemoryCap comment\na4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"705d1af0-744f-4a1d-855a-3d449f7b4725","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"8e78d982-39d5-44a2-9b68-974b176339bd","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015xdCDMDdfnKmRWrpQrZ4n4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EpwCCkYICxgCKkC2tw+HK/2caBXFVAddb8LCOjechF3ouOwfcimFWK7i1w69UVDxcLeU3o5iAq3/Ny8U6xY/6M/ss25pJgpKMh6HEgxsRBZ+1Sb+dRqgKI8aDNbrTG5AiaczmXEUNyIw5HRBU4Uz6r4oYpHUzCyVo1+lhQ22UsR9n2ZNWplxx5sAVN1PJpBnkDgjg9erHuSIKoMBN3vY3ESS+cUsOwb42FtKK1K1O4F3i9Zs6DlVue1Fy79T+/NYOuV9TvjDf8nTCVoTtfVmaZ8AoMTaDgKzkPm7vQf7YZpePHO63rJWkAEK1yLmGncfbO8Kw0ufJsz5IwLAwbhpHua8azrdVSapF4YCnzL2dOQYlA1Pb854PI66GSp/COsYAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9293,"cache_read_input_tokens":21875,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9293},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14N3BCtzjw9fixAAxAU","type":"assistant","uuid":"e0b0367d-2d21-4eea-a09a-db6dfdc8f5b3","timestamp":"2026-03-13T12:12:47.575Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"e0b0367d-2d21-4eea-a09a-db6dfdc8f5b3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015xdCDMDdfnKmRWrpQrZ4n4","type":"message","role":"assistant","content":[{"type":"text","text":"The `UsageDash.svelte` changes appear unrelated to the migration task. I'll only commit the migration files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9293,"cache_read_input_tokens":21875,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9293},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14N3BCtzjw9fixAAxAU","type":"assistant","uuid":"494fd8be-6e2b-4ec9-99b4-1eb27070705e","timestamp":"2026-03-13T12:12:48.527Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"494fd8be-6e2b-4ec9-99b4-1eb27070705e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_015xdCDMDdfnKmRWrpQrZ4n4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LjAccujsvfJRRPKmYUrrjg","name":"Bash","input":{"command":"git add internal/repository/migration.go internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql","description":"Stage migration files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9293,"cache_read_input_tokens":21875,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":9293,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ14N3BCtzjw9fixAAxAU","type":"assistant","uuid":"2df0c6dc-8555-4e7b-b419-355d68124505","timestamp":"2026-03-13T12:12:49.159Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"2df0c6dc-8555-4e7b-b419-355d68124505","isSidechain":false,"promptId":"7fa41701-bbf0-48f4-9912-1687339fdb4e","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LjAccujsvfJRRPKmYUrrjg","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"2826253e-9828-4b44-b4c9-8cea40fb8cf2","timestamp":"2026-03-13T12:12:49.195Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"2df0c6dc-8555-4e7b-b419-355d68124505","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"2826253e-9828-4b44-b4c9-8cea40fb8cf2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2TqMcumcJhCDe2xTjyxJC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016A3RNLtAbUUX6caUbDhiEf","name":"Bash","input":{"command":"git commit -m \"$(cat <<'EOF'\nAdd covering indexes for status/dashboard queries (migration 13)\n\nAdds composite covering indexes on (cluster, job_state, , ...)\nfor user, project, and subcluster groupings to enable index-only scans\nfor status views. Drops subsumed 3-column indexes.\n\nCo-Authored-By: Claude Opus 4.6 \nEOF\n)\"","description":"Commit migration 13"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":207,"cache_read_input_tokens":31168,"output_tokens":183,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":207,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ14NKj7fq2RNjo4v74sN","type":"assistant","uuid":"c0fac491-f802-4cc2-ad2d-024693833c56","timestamp":"2026-03-13T12:12:54.712Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"c0fac491-f802-4cc2-ad2d-024693833c56","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"bb9c6f25-a42e-4205-83f2-9bc6d96a4dd4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016rtUEn1Df7eoYAUfCjvpQS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BPLq2FhDAJvaTSkxbY1jnD","name":"Bash","input":{"command":"git status","description":"Verify 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respectively.\n (use \"git pull\" if you want to integrate the remote branch with yours)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"e0c2eeb6-4b09-4f41-a54d-79337460019b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"acd453be-d70d-496f-a67b-5a4356cfe2c4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01G1kFqhoidcUvKZU8SaSB7u","type":"message","role":"assistant","content":[{"type":"text","text":"Committed `dd3e5427`. The `UsageDash.svelte` changes remain uncommitted as they're unrelated."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":227,"cache_read_input_tokens":31668,"output_tokens":32,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":227,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ14P9yWXnnMc61ufvekX","type":"assistant","uuid":"609cde8f-bbeb-46ba-a24e-4a1725fb1cef","timestamp":"2026-03-13T12:13:02.656Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"609cde8f-bbeb-46ba-a24e-4a1725fb1cef","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks 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+{"type":"file-history-snapshot","messageId":"7cb658e4-911c-4b6a-a429-0d2df60fb539","snapshot":{"messageId":"7cb658e4-911c-4b6a-a429-0d2df60fb539","trackedFileBackups":{"internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql":{"backupFileName":"f7c7c899ca8683bf@v2","version":2,"backupTime":"2026-03-13T12:12:38.146Z"},"internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql":{"backupFileName":"1e3ab0f545c32b4d@v2","version":2,"backupTime":"2026-03-13T12:12:38.146Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v2","version":2,"backupTime":"2026-03-13T12:12:38.146Z"}},"timestamp":"2026-03-13T12:13:52.016Z"},"isSnapshotUpdate":false} +{"parentUuid":"0f6d4435-c134-4024-b275-d53ae4e2ca1a","isSidechain":false,"promptId":"bcb6a252-2907-4b3f-bc9b-2b43005de640","type":"user","message":{"role":"user","content":"Also commit the other changes using the previous session infos"},"uuid":"7cb658e4-911c-4b6a-a429-0d2df60fb539","timestamp":"2026-03-13T12:13:51.444Z","permissionMode":"acceptEdits","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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+{"parentUuid":"7bc7aae9-49c4-44bf-823f-7bf6efe6d7fc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HnnZzf2fDv8vCuULx99j5q","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the previous session for context on the UsageDash changes."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":44,"cache_read_input_tokens":31895,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":44},"output_tokens":14,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14SxM8dRxaxvt79eg5G","type":"assistant","uuid":"ede83977-f297-45ef-b0bb-c4f0a6155e51","timestamp":"2026-03-13T12:14:04.192Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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+{"parentUuid":"59bd9a09-fa53-4892-b2d0-a3ed04b9af6e","isSidechain":false,"promptId":"bcb6a252-2907-4b3f-bc9b-2b43005de640","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EqV6YzLB7kaHZyo9JtiJhD","type":"tool_result","content":"\"content\":\"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashDetails.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/HealthDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatusDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Status.root.svelte\"\n\"content\":\"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/dashpublic.entrypoint.js\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashDetails.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/HealthDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatusDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte\"\n\"content\":\"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte\"\n\"content\":\"# Optimize Cluster Status Detail Views\\n\\n## Step 1: Consolidate UsageDash into single GraphQL query (low risk)\\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`**: Merge `topJobsQuery`, `topNodesQuery`, `topAccsQuery` into one query with 6 aliased `jobsStatistics` fields. Reduces 3 HTTP round trips to 1. Backend `reqFields` mechanism (stats.go:144) already ensures only needed columns are computed per alias.\\n\\n## Step 2: Limit JobsMetricStats job count (low risk, high impact)\\n- **`internal/graph/schema.resolvers.go:752`**: Add `PageRequest{Page:1, ItemsPerPage:1000}` limit to `JobsMetricStats` (currently unbounded). Roofline is useless with thousands of points anyway.\\n\\n## Step 3: Parallelize JobsMetricStats with goroutines (medium risk, high impact)\\n- **`internal/metricdispatch/dataLoader.go`**: Add `LoadBatchJobStats()` using bounded goroutines (`runtime.NumCPU()` semaphore) to call `LoadJobStats` concurrently per job.\\n- **`internal/graph/schema.resolvers.go`**: Use `LoadBatchJobStats` in `JobsMetricStats` resolver (line 759 loop).\\n\\n## Step 4: Parallelize runningJobsMetricStatisticsHistogram (medium risk)\\n- **`internal/repository/stats.go:1063-1072`**: Parallelize the `LoadAverages` loop over up to 5000 jobs using bounded goroutines, same pattern as Step 3.\\n\\n## Step 5: Add covering index for SUBCLUSTER groupBy (low risk)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.up.sql`**:\\n - `jobs_cluster_subcluster_starttime_stats ON job (cluster, subcluster, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc)`\\n - `jobs_cluster_jobstate_subcluster ON job (cluster, job_state, subcluster)` (for AllocatedNodes)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.down.sql`**: Drop both indexes\\n- **`internal/repository/migration.go`**: Bump `Version` to 13\\n\\n## Step 6: Remove `jobs(paging:-1)` from StatusDash (low risk)\\n- **`web/frontend/src/status/dashdetails/StatusDash.svelte`**: Remove the `jobs` field from `statusQuery` (lines 138-146) which loads ALL running jobs just for per-node counts. The `allocatedNodes` data already provides what's needed — adjust frontend logic in `transformNodesStatsToInfo` accordingly.\\n\\n## Verification\\n```bash\\ngo test ./internal/repository/... ./internal/graph/... ./internal/metricdispatch/... && cd web/frontend && npm run build\\n```\\n\"\n\"content\":\"# Optimize Cluster Status Detail Views\\n\\n## Step 1: Consolidate UsageDash into single GraphQL query (low risk)\\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`**: Merge `topJobsQuery`, `topNodesQuery`, `topAccsQuery` into one query with 6 aliased `jobsStatistics` fields. Reduces 3 HTTP round trips to 1. Backend `reqFields` mechanism (stats.go:144) already ensures only needed columns are computed per alias.\\n\\n## Step 2: Limit JobsMetricStats job count (low risk, high impact)\\n- **`internal/graph/schema.resolvers.go:752`**: Add `PageRequest{Page:1, ItemsPerPage:1000}` limit to `JobsMetricStats` (currently unbounded). Roofline is useless with thousands of points anyway.\\n\\n## Step 3: Parallelize JobsMetricStats with goroutines (medium risk, high impact)\\n- **`internal/metricdispatch/dataLoader.go`**: Add `LoadBatchJobStats()` using bounded goroutines (`runtime.NumCPU()` semaphore) to call `LoadJobStats` concurrently per job.\\n- **`internal/graph/schema.resolvers.go`**: Use `LoadBatchJobStats` in `JobsMetricStats` resolver (line 759 loop).\\n\\n## Step 4: Parallelize runningJobsMetricStatisticsHistogram (medium risk)\\n- **`internal/repository/stats.go:1063-1072`**: Parallelize the `LoadAverages` loop over up to 5000 jobs using bounded goroutines, same pattern as Step 3.\\n\\n## Step 5: Add covering index for SUBCLUSTER groupBy (low risk)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.up.sql`**:\\n - `jobs_cluster_subcluster_starttime_stats ON job (cluster, subcluster, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc)`\\n - `jobs_cluster_jobstate_subcluster ON job (cluster, job_state, subcluster)` (for AllocatedNodes)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.down.sql`**: Drop both indexes\\n- **`internal/repository/migration.go`**: Bump `Version` to 13\\n\\n## Step 6: Remove `jobs(paging:-1)` from StatusDash (low risk)\\n- **`web/frontend/src/status/dashdetails/StatusDash.svelte`**: Remove the `jobs` field from `statusQuery` (lines 138-146) which loads ALL running jobs just for per-node counts. The `allocatedNodes` data already provides what's needed — adjust frontend logic in `transformNodesStatsToInfo` accordingly.\\n\\n## Verification\\n```bash\\ngo test ./internal/repository/... ./internal/graph/... ./internal/metricdispatch/... && cd web/frontend && npm run build\\n```\\n\"","is_error":false}]},"uuid":"cdc717de-b6bf-4f50-a07c-bf5f5e93799f","timestamp":"2026-03-13T12:14:22.701Z","toolUseResult":{"stdout":"\"content\":\"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashDetails.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/HealthDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatusDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/Status.root.svelte\"\n\"content\":\"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/dashpublic.entrypoint.js\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashDetails.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/DashInternal.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/HealthDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatisticsDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/StatusDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte\\n/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/DashPublic.root.svelte\"\n\"content\":\"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte\"\n\"content\":\"# Optimize Cluster Status Detail Views\\n\\n## Step 1: Consolidate UsageDash into single GraphQL query (low risk)\\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`**: Merge `topJobsQuery`, `topNodesQuery`, `topAccsQuery` into one query with 6 aliased `jobsStatistics` fields. Reduces 3 HTTP round trips to 1. Backend `reqFields` mechanism (stats.go:144) already ensures only needed columns are computed per alias.\\n\\n## Step 2: Limit JobsMetricStats job count (low risk, high impact)\\n- **`internal/graph/schema.resolvers.go:752`**: Add `PageRequest{Page:1, ItemsPerPage:1000}` limit to `JobsMetricStats` (currently unbounded). Roofline is useless with thousands of points anyway.\\n\\n## Step 3: Parallelize JobsMetricStats with goroutines (medium risk, high impact)\\n- **`internal/metricdispatch/dataLoader.go`**: Add `LoadBatchJobStats()` using bounded goroutines (`runtime.NumCPU()` semaphore) to call `LoadJobStats` concurrently per job.\\n- **`internal/graph/schema.resolvers.go`**: Use `LoadBatchJobStats` in `JobsMetricStats` resolver (line 759 loop).\\n\\n## Step 4: Parallelize runningJobsMetricStatisticsHistogram (medium risk)\\n- **`internal/repository/stats.go:1063-1072`**: Parallelize the `LoadAverages` loop over up to 5000 jobs using bounded goroutines, same pattern as Step 3.\\n\\n## Step 5: Add covering index for SUBCLUSTER groupBy (low risk)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.up.sql`**:\\n - `jobs_cluster_subcluster_starttime_stats ON job (cluster, subcluster, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc)`\\n - `jobs_cluster_jobstate_subcluster ON job (cluster, job_state, subcluster)` (for AllocatedNodes)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.down.sql`**: Drop both indexes\\n- **`internal/repository/migration.go`**: Bump `Version` to 13\\n\\n## Step 6: Remove `jobs(paging:-1)` from StatusDash (low risk)\\n- **`web/frontend/src/status/dashdetails/StatusDash.svelte`**: Remove the `jobs` field from `statusQuery` (lines 138-146) which loads ALL running jobs just for per-node counts. The `allocatedNodes` data already provides what's needed — adjust frontend logic in `transformNodesStatsToInfo` accordingly.\\n\\n## Verification\\n```bash\\ngo test ./internal/repository/... ./internal/graph/... ./internal/metricdispatch/... && cd web/frontend && npm run build\\n```\\n\"\n\"content\":\"# Optimize Cluster Status Detail Views\\n\\n## Step 1: Consolidate UsageDash into single GraphQL query (low risk)\\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`**: Merge `topJobsQuery`, `topNodesQuery`, `topAccsQuery` into one query with 6 aliased `jobsStatistics` fields. Reduces 3 HTTP round trips to 1. Backend `reqFields` mechanism (stats.go:144) already ensures only needed columns are computed per alias.\\n\\n## Step 2: Limit JobsMetricStats job count (low risk, high impact)\\n- **`internal/graph/schema.resolvers.go:752`**: Add `PageRequest{Page:1, ItemsPerPage:1000}` limit to `JobsMetricStats` (currently unbounded). Roofline is useless with thousands of points anyway.\\n\\n## Step 3: Parallelize JobsMetricStats with goroutines (medium risk, high impact)\\n- **`internal/metricdispatch/dataLoader.go`**: Add `LoadBatchJobStats()` using bounded goroutines (`runtime.NumCPU()` semaphore) to call `LoadJobStats` concurrently per job.\\n- **`internal/graph/schema.resolvers.go`**: Use `LoadBatchJobStats` in `JobsMetricStats` resolver (line 759 loop).\\n\\n## Step 4: Parallelize runningJobsMetricStatisticsHistogram (medium risk)\\n- **`internal/repository/stats.go:1063-1072`**: Parallelize the `LoadAverages` loop over up to 5000 jobs using bounded goroutines, same pattern as Step 3.\\n\\n## Step 5: Add covering index for SUBCLUSTER groupBy (low risk)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.up.sql`**:\\n - `jobs_cluster_subcluster_starttime_stats ON job (cluster, subcluster, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc)`\\n - `jobs_cluster_jobstate_subcluster ON job (cluster, job_state, subcluster)` (for AllocatedNodes)\\n- **New `internal/repository/migrations/sqlite3/13_status-indexes.down.sql`**: Drop both indexes\\n- **`internal/repository/migration.go`**: Bump `Version` to 13\\n\\n## Step 6: Remove `jobs(paging:-1)` from StatusDash (low risk)\\n- **`web/frontend/src/status/dashdetails/StatusDash.svelte`**: Remove the `jobs` field from `statusQuery` (lines 138-146) which loads ALL running jobs just for per-node counts. The `allocatedNodes` data already provides what's needed — adjust frontend logic in `transformNodesStatsToInfo` accordingly.\\n\\n## Verification\\n```bash\\ngo test ./internal/repository/... ./internal/graph/... ./internal/metricdispatch/... && cd web/frontend && npm run build\\n```\\n\"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"59bd9a09-fa53-4892-b2d0-a3ed04b9af6e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"cdc717de-b6bf-4f50-a07c-bf5f5e93799f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QVh729UMettSAaGqv4xTAj","type":"message","role":"assistant","content":[{"type":"text","text":"The UsageDash change was **Step 1: Consolidate UsageDash into single GraphQL query** — merging 3 separate queries (`topJobsQuery`, `topNodesQuery`, `topAccsQuery`) into one `topStatsQuery` to reduce 3 HTTP round trips to 1."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2298,"cache_read_input_tokens":32299,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2298},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ14VDXk2TUE7guY1Wm1m","type":"assistant","uuid":"d0d1334c-8eac-4a78-b224-5ad7dc60dfe0","timestamp":"2026-03-13T12:14:26.374Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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clean","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"94277a62-3fd0-46c7-9ab1-bce083a0cdf6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} +{"parentUuid":"30798db4-db70-4f62-a791-ba0c8c65156a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HGqaXLZuvGbKuPu6DwBYos","type":"message","role":"assistant","content":[{"type":"text","text":"Done. Committed as `0037d969` — consolidates the 3 separate GraphQL queries into a single `topStatsQuery` with aliased fields."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":148,"cache_read_input_tokens":34930,"output_tokens":39,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":148,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ14WByFyyu9xfHEnj8sE","type":"assistant","uuid":"f4bb739e-72c7-4704-8d49-c4967764e836","timestamp":"2026-03-13T12:14:38.231Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"efbcf0f5-2dd5-4641-bb45-37e9d33e8795","version":"2.1.74","gitBranch":"hotfix","slug":"crispy-singing-jellyfish"} 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+ "checkpoints_count": 2, + "files_touched": [ + "web/frontend/src/status/dashdetails/UsageDash.svelte" + ], + "agent": "Claude Code", + "turn_id": "520e5cecdef4", + "token_usage": { + "input_tokens": 20, + "cache_creation_tokens": 25816, + "cache_read_tokens": 343977, + "output_tokens": 2864, + "api_call_count": 14 + }, + "session_metrics": { + "turn_count": 2 + }, + "initial_attribution": { + "calculated_at": "2026-03-13T12:14:32.212624Z", + "agent_lines": 268, + "human_added": 0, + "human_modified": 0, + "human_removed": 0, + "total_committed": 268, + "agent_percentage": 100 + } +} diff --git a/40/d806a3240c/0/prompt.txt b/40/d806a3240c/0/prompt.txt new file mode 100644 index 00000000..9436e2e3 --- /dev/null +++ b/40/d806a3240c/0/prompt.txt @@ -0,0 +1 @@ +commit this \ No newline at end of file diff --git a/40/d806a3240c/metadata.json b/40/d806a3240c/metadata.json new file mode 100644 index 00000000..a4943232 --- /dev/null +++ b/40/d806a3240c/metadata.json @@ -0,0 +1,25 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "40d806a3240c", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "web/frontend/src/status/dashdetails/UsageDash.svelte" + ], + "sessions": [ + { + "metadata": "/40/d806a3240c/0/metadata.json", + "transcript": "/40/d806a3240c/0/full.jsonl", + "content_hash": "/40/d806a3240c/0/content_hash.txt", + "prompt": "/40/d806a3240c/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 20, + "cache_creation_tokens": 25816, + "cache_read_tokens": 343977, + "output_tokens": 2864, + "api_call_count": 14 + } +} diff --git a/5b/26a6e5ff10/0/content_hash.txt b/5b/26a6e5ff10/0/content_hash.txt new file mode 100644 index 00000000..07ba7048 --- /dev/null +++ b/5b/26a6e5ff10/0/content_hash.txt @@ -0,0 +1 @@ +sha256:dd3f459a9664003dd43c8c203bd81e11a439b1b41f7943d83fccb8cd1bc48b35 \ No newline at end of file diff --git a/5b/26a6e5ff10/0/full.jsonl b/5b/26a6e5ff10/0/full.jsonl new file mode 100644 index 00000000..80c07435 --- /dev/null +++ b/5b/26a6e5ff10/0/full.jsonl @@ -0,0 +1,173 @@ +{"type":"file-history-snapshot","messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"70a112de-87e3-427c-a118-14893d28b404","toolUseID":"70a112de-87e3-427c-a118-14893d28b404","timestamp":"2026-03-13T13:23:59.350Z","uuid":"df60955c-f9ff-4dab-a61c-5f1dfbe81b17","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"df60955c-f9ff-4dab-a61c-5f1dfbe81b17","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3643a384-f90b-4f89-9ba0-2e5861a4674c.jsonl"},"uuid":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","timestamp":"2026-03-13T13:23:56.397Z","planContent":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EokCCkYICxgCKkCdG8qTncIMduu4zwRjj7Z6HD4E3ibSocGCEFy+okymW5hfegj+cwP+HURWuVT4O1mWtXVgfpBHoKX+2oLylj9sEgwzPGsPnXjYFcxrKFMaDAev4ooJ446eDxy1ByIw8Y/W4j3SnXno88TnaXfVze4x2NJ/fsEAd4xKVdz7anms4SsFMwuqBGzhkkNcE6cIKnFjrmygWDzz8SeuNa+3x/VHQgewNhEDgadxFWXFeP12LS0UWwVyFceHfznPgkQfzLjsXeu8yquLwdiYpbc7X4K47PYdHYV90GCwv/a1IwOBq1n9oZLjbgVCMGXto3AuEFw9aE+wxdxG40sfQfQOqepm1hgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"d570cc63-fff0-4997-aee5-0171d2050e1c","timestamp":"2026-03-13T13:24:02.290Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d570cc63-fff0-4997-aee5-0171d2050e1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the key files first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"d16731dc-9a95-47b3-bcee-11eed8eac424","timestamp":"2026-03-13T13:24:02.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d16731dc-9a95-47b3-bcee-11eed8eac424","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","timestamp":"2026-03-13T13:24:03.594Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","toolUseID":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","timestamp":"2026-03-13T13:24:03.607Z","uuid":"4362feed-5761-4afe-9d12-74e8a7e8bb6b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n 25→// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n 26→// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n 27→// - Version 10: Node table\n 28→//\n 29→// Migration files are embedded at build time from the migrations directory.\n 30→const Version uint = 13\n 31→\n 32→//go:embed migrations/*\n 33→var migrationFiles embed.FS\n 34→\n 35→// checkDBVersion verifies that the database schema version matches the expected version.\n 36→// This is called automatically during Connect() to ensure schema compatibility.\n 37→//\n 38→// Returns an error if:\n 39→// - Database version is older than expected (needs migration)\n 40→// - Database version is newer than expected (needs app upgrade)\n 41→// - Database is in a dirty state (failed migration)\n 42→//\n 43→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 44→// This requires manual intervention to fix the database and force the version.\n 45→func checkDBVersion(db *sql.DB) error {\n 46→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 47→\tif err != nil {\n 48→\t\treturn err\n 49→\t}\n 50→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 51→\tif err != nil {\n 52→\t\treturn err\n 53→\t}\n 54→\n 55→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 56→\tif err != nil {\n 57→\t\treturn err\n 58→\t}\n 59→\n 60→\tv, dirty, err := m.Version()\n 61→\tif err != nil {\n 62→\t\tif err == migrate.ErrNilVersion {\n 63→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 64→\t\t} else {\n 65→\t\t\treturn err\n 66→\t\t}\n 67→\t}\n 68→\n 69→\tif v < Version {\n 70→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 71→\t} else if v > Version {\n 72→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 73→\t}\n 74→\n 75→\tif dirty {\n 76→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 77→\t}\n 78→\n 79→\treturn nil\n 80→}\n 81→\n 82→// getMigrateInstance creates a new migration instance for the given database file.\n 83→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 84→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 85→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 86→\tif err != nil {\n 87→\t\treturn nil, err\n 88→\t}\n 89→\n 90→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 91→\tif err != nil {\n 92→\t\treturn nil, err\n 93→\t}\n 94→\n 95→\treturn m, nil\n 96→}\n 97→\n 98→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 99→// This should be run with the -migrate-db flag before starting the application\n 100→// after upgrading to a new version that requires schema changes.\n 101→//\n 102→// Process:\n 103→// 1. Checks current database version\n 104→// 2. Applies all migrations from current version to target Version\n 105→// 3. Updates schema_migrations table to track applied migrations\n 106→//\n 107→// Important:\n 108→// - Always backup your database before running migrations\n 109→// - Migrations are irreversible without manual intervention\n 110→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 111→//\n 112→// Usage:\n 113→//\n 114→//\tcc-backend -migrate-db\n 115→func MigrateDB(db string) error {\n 116→\tm, err := getMigrateInstance(db)\n 117→\tif err != nil {\n 118→\t\treturn err\n 119→\t}\n 120→\n 121→\tv, dirty, err := m.Version()\n 122→\tif err != nil {\n 123→\t\tif err == migrate.ErrNilVersion {\n 124→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 125→\t\t} else {\n 126→\t\t\treturn err\n 127→\t\t}\n 128→\t}\n 129→\n 130→\tif v < Version {\n 131→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 132→\t}\n 133→\n 134→\tif dirty {\n 135→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 136→\t}\n 137→\n 138→\tif err := m.Up(); err != nil {\n 139→\t\tif err == migrate.ErrNoChange {\n 140→\t\t\tcclog.Info(\"DB already up to date!\")\n 141→\t\t} else {\n 142→\t\t\treturn err\n 143→\t\t}\n 144→\t}\n 145→\n 146→\tm.Close()\n 147→\treturn nil\n 148→}\n 149→\n 150→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 151→// This is primarily used for testing or emergency rollback scenarios.\n 152→//\n 153→// Warning:\n 154→// - This may cause data loss if newer schema added columns/tables\n 155→// - Always backup before reverting\n 156→// - Not all migrations are safely reversible\n 157→//\n 158→// Usage:\n 159→//\n 160→//\tcc-backend -revert-db\n 161→func RevertDB(db string) error {\n 162→\tm, err := getMigrateInstance(db)\n 163→\tif err != nil {\n 164→\t\treturn err\n 165→\t}\n 166→\n 167→\tif err := m.Migrate(Version - 1); err != nil {\n 168→\t\tif err == migrate.ErrNoChange {\n 169→\t\t\tcclog.Info(\"DB already up to date!\")\n 170→\t\t} else {\n 171→\t\t\treturn err\n 172→\t\t}\n 173→\t}\n 174→\n 175→\tm.Close()\n 176→\treturn nil\n 177→}\n 178→\n 179→// ForceDB forces the database schema version to the current Version without running migrations.\n 180→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 181→//\n 182→// When to use:\n 183→// - After manually fixing a failed migration\n 184→// - When you've manually applied schema changes and need to update the version marker\n 185→//\n 186→// Warning:\n 187→// - This does NOT apply any schema changes\n 188→// - Only use after manually verifying the schema is correct\n 189→// - Improper use can cause schema/version mismatch\n 190→//\n 191→// Usage:\n 192→//\n 193→//\tcc-backend -force-db\n 194→func ForceDB(db string) error {\n 195→\tm, err := getMigrateInstance(db)\n 196→\tif err != nil {\n 197→\t\treturn err\n 198→\t}\n 199→\n 200→\tif err := m.Force(int(Version)); err != nil {\n 201→\t\treturn err\n 202→\t}\n 203→\n 204→\tm.Close()\n 205→\treturn nil\n 206→}\n 207→"}]},"uuid":"5b8ee254-de84-46c5-8a9d-26b77f4443ad","timestamp":"2026-03-13T13:24:03.607Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":207,"startLine":1,"totalLines":207}},"sourceToolAssistantUUID":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5b8ee254-de84-46c5-8a9d-26b77f4443ad","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","timestamp":"2026-03-13T13:24:04.177Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","toolUseID":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","timestamp":"2026-03-13T13:24:04.186Z","uuid":"26758fad-e9a2-40f3-bf96-47654bd998e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tif len(filter.State) == 1 {\n 201→\t\t\tsingleStat := string(filter.State[0])\n 202→\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n 203→\t\t} else {\n 204→\t\t\tstates := make([]string, len(filter.State))\n 205→\t\t\tfor i, val := range filter.State {\n 206→\t\t\t\tstates[i] = string(val)\n 207→\t\t\t}\n 208→\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 209→\t\t}\n 210→\t}\n 211→\tif filter.Shared != nil {\n 212→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 213→\t}\n 214→\tif filter.Project != nil {\n 215→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 216→\t}\n 217→\tif filter.User != nil {\n 218→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 219→\t}\n 220→\tif filter.NumNodes != nil {\n 221→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 222→\t}\n 223→\tif filter.NumAccelerators != nil {\n 224→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 225→\t}\n 226→\tif filter.NumHWThreads != nil {\n 227→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 228→\t}\n 229→\tif filter.ArrayJobID != nil {\n 230→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 231→\t}\n 232→\tif filter.StartTime != nil {\n 233→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 234→\t}\n 235→\tif filter.Duration != nil {\n 236→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 237→\t}\n 238→\tif filter.Energy != nil {\n 239→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 240→\t}\n 241→\t// Indices on Tag Table\n 242→\tif filter.Tags != nil {\n 243→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 244→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 245→\t}\n 246→\t// No explicit Indices\n 247→\tif filter.JobID != nil {\n 248→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 249→\t}\n 250→\t// Queries Within JSONs\n 251→\tif filter.MetricStats != nil {\n 252→\t\tfor _, ms := range filter.MetricStats {\n 253→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 254→\t\t}\n 255→\t}\n 256→\tif filter.Node != nil {\n 257→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 258→\t}\n 259→\tif filter.JobName != nil {\n 260→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 261→\t}\n 262→\tif filter.Schedule != nil {\n 263→\t\tinteractiveJobname := \"interactive\"\n 264→\t\tswitch *filter.Schedule {\n 265→\t\tcase \"interactive\":\n 266→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 267→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 268→\t\tcase \"batch\":\n 269→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 270→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 271→\t\t}\n 272→\t}\n 273→\n 274→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 275→\tif filter.MinRunningFor != nil {\n 276→\t\tnow := time.Now().Unix()\n 277→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 278→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 279→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 280→\t}\n 281→\treturn query\n 282→}\n 283→\n 284→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 285→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 286→\tif cond.From != 1 && cond.To != 0 {\n 287→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 288→\t} else if cond.From != 1 && cond.To == 0 {\n 289→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 290→\t} else if cond.From == 1 && cond.To != 0 {\n 291→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 292→\t} else {\n 293→\t\treturn query\n 294→\t}\n 295→}\n 296→\n 297→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 298→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 299→\tif cond.From != 1.0 && cond.To != 0.0 {\n 300→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 301→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 302→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 303→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 304→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 305→\t} else {\n 306→\t\treturn query\n 307→\t}\n 308→}\n 309→\n 310→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 311→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 312→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 313→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 314→\tif cond.From != nil && cond.To != nil {\n 315→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 316→\t} else if cond.From != nil {\n 317→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 318→\t} else if cond.To != nil {\n 319→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 320→\t} else if cond.Range != \"\" {\n 321→\t\tnow := time.Now().Unix()\n 322→\t\tvar then int64\n 323→\t\tswitch cond.Range {\n 324→\t\tcase \"last6h\":\n 325→\t\t\tthen = now - (60 * 60 * 6)\n 326→\t\tcase \"last24h\":\n 327→\t\t\tthen = now - (60 * 60 * 24)\n 328→\t\tcase \"last7d\":\n 329→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 330→\t\tcase \"last30d\":\n 331→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 332→\t\tdefault:\n 333→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 334→\t\t\treturn query\n 335→\t\t}\n 336→\t\treturn query.Where(field+\" >= ?\", then)\n 337→\t} else {\n 338→\t\treturn query\n 339→\t}\n 340→}\n 341→\n 342→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 343→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 344→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 345→\tif cond.From != 1.0 && cond.To != 0.0 {\n 346→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 347→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 349→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 350→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 351→\t} else {\n 352→\t\treturn query\n 353→\t}\n 354→}\n 355→\n 356→// buildStringCondition creates filters for string fields supporting equality,\n 357→// inequality, prefix, suffix, substring, and IN list matching.\n 358→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 359→\tif cond.Eq != nil {\n 360→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 361→\t}\n 362→\tif cond.Neq != nil {\n 363→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 364→\t}\n 365→\tif cond.StartsWith != nil {\n 366→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 367→\t}\n 368→\tif cond.EndsWith != nil {\n 369→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 370→\t}\n 371→\tif cond.Contains != nil {\n 372→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 373→\t}\n 374→\tif cond.In != nil {\n 375→\t\tqueryElements := make([]string, len(cond.In))\n 376→\t\tcopy(queryElements, cond.In)\n 377→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 378→\t}\n 379→\treturn query\n 380→}\n 381→\n 382→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 383→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 384→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 385→\tif cond.Eq != nil {\n 386→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 387→\t}\n 388→\tif cond.Neq != nil {\n 389→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 390→\t}\n 391→\tif cond.StartsWith != nil {\n 392→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 393→\t}\n 394→\tif cond.EndsWith != nil {\n 395→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 396→\t}\n 397→\tif cond.Contains != nil {\n 398→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 399→\t}\n 400→\treturn query\n 401→}\n 402→\n 403→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 404→// Uses json_each to search within array elements.\n 405→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 406→\tquery = query.Where(\"JSON_VALID(resources)\")\n 407→\tif cond.Eq != nil {\n 408→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 409→\t}\n 410→\tif cond.Neq != nil { // Currently Unused\n 411→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 412→\t}\n 413→\tif cond.StartsWith != nil { // Currently Unused\n 414→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 415→\t}\n 416→\tif cond.EndsWith != nil { // Currently Unused\n 417→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 418→\t}\n 419→\tif cond.Contains != nil {\n 420→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 421→\t}\n 422→\treturn query\n 423→}\n 424→\n 425→var (\n 426→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 427→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 428→)\n 429→\n 430→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 431→// Includes security checks to prevent SQL injection attempts.\n 432→// Panics if potentially dangerous characters are detected.\n 433→func toSnakeCase(str string) string {\n 434→\tfor _, c := range str {\n 435→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 436→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 441→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 442→\treturn strings.ToLower(snake)\n 443→}\n 444→"}]},"uuid":"05d5a5ee-cecf-4697-839a-b3bf8970dacf","timestamp":"2026-03-13T13:24:04.185Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {\n\t\t\tstates := make([]string, len(filter.State))\n\t\t\tfor i, val := range filter.State {\n\t\t\t\tstates[i] = string(val)\n\t\t\t}\n\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t\t}\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","numLines":444,"startLine":1,"totalLines":444}},"sourceToolAssistantUUID":"5810ecbf-ac9a-44ac-86a2-74647d424b28","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}\n 229→\n 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tcol := groupBy2column[*groupBy]\n 242→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 243→\n 244→\tquery, err := SecurityCheck(ctx, query)\n 245→\tif err != nil {\n 246→\t\treturn nil, err\n 247→\t}\n 248→\n 249→\tif sortBy != nil {\n 250→\t\tsortBy := sortBy2column[*sortBy]\n 251→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 252→\t}\n 253→\tif page != nil && page.ItemsPerPage != -1 {\n 254→\t\tlimit := uint64(page.ItemsPerPage)\n 255→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 256→\t}\n 257→\n 258→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 259→\tif err != nil {\n 260→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 261→\t\treturn nil, err\n 262→\t}\n 263→\tdefer rows.Close()\n 264→\n 265→\tstats := make([]*model.JobsStatistics, 0, 100)\n 266→\n 267→\tfor rows.Next() {\n 268→\t\tvar id sql.NullString\n 269→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 270→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 271→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 272→\t\t\treturn nil, err\n 273→\t\t}\n 274→\n 275→\t\tif id.Valid {\n 276→\t\t\tstats = append(stats,\n 277→\t\t\t\t&model.JobsStatistics{\n 278→\t\t\t\t\tID: id.String,\n 279→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 280→\t\t\t\t\tTotalUsers: int(users.Int64),\n 281→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 282→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 283→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 284→\t\t\t\t\tTotalCores: int(cores.Int64),\n 285→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 286→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 287→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 288→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 289→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 290→\t\t\t\t})\n 291→\t\t}\n 292→\t}\n 293→\n 294→\tif err := rows.Err(); err != nil {\n 295→\t\treturn nil, err\n 296→\t}\n 297→\n 298→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 299→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 300→\t\tusernames := make([]any, len(stats))\n 301→\t\tfor i, s := range stats {\n 302→\t\t\tusernames[i] = s.ID\n 303→\t\t}\n 304→\n 305→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 306→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 307→\t\tif err != nil {\n 308→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 309→\t\t\t// Non-fatal: stats are still valid without display names\n 310→\t\t} else {\n 311→\t\t\tdefer nameRows.Close()\n 312→\t\t\tnameMap := make(map[string]string, len(stats))\n 313→\t\t\tfor nameRows.Next() {\n 314→\t\t\t\tvar username, name string\n 315→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 316→\t\t\t\t\tnameMap[username] = name\n 317→\t\t\t\t}\n 318→\t\t\t}\n 319→\t\t\tfor _, s := range stats {\n 320→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 321→\t\t\t\t\ts.Name = name\n 322→\t\t\t\t}\n 323→\t\t\t}\n 324→\t\t}\n 325→\t}\n 326→\n 327→\treturn stats, nil\n 328→}\n 329→\n 330→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 331→//\n 332→// This method provides a single aggregate view of job metrics, useful for dashboard\n 333→// summaries and overall system utilization reports.\n 334→//\n 335→// Parameters:\n 336→// - ctx: Context for security checks and cancellation\n 337→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 338→//\n 339→// Returns a single-element slice containing aggregate statistics:\n 340→// - totalJobs, totalUsers, totalWalltime\n 341→// - totalNodeHours, totalCoreHours, totalAccHours\n 342→//\n 343→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 344→// Security checks are applied via SecurityCheck to respect user access levels.\n 345→func (r *JobRepository) JobsStats(\n 346→\tctx context.Context,\n 347→\tfilter []*model.JobFilter,\n 348→\treqFields map[string]bool,\n 349→) ([]*model.JobsStatistics, error) {\n 350→\tstart := time.Now()\n 351→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 352→\tquery, err := SecurityCheck(ctx, query)\n 353→\tif err != nil {\n 354→\t\treturn nil, err\n 355→\t}\n 356→\n 357→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 358→\tstats := make([]*model.JobsStatistics, 0, 1)\n 359→\n 360→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 361→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 362→\t\tcclog.Warn(\"Error while scanning rows\")\n 363→\t\treturn nil, err\n 364→\t}\n 365→\n 366→\tif jobs.Valid {\n 367→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 368→\n 369→\t\tif nodeHours.Valid {\n 370→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 371→\t\t}\n 372→\t\tif coreHours.Valid {\n 373→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 374→\t\t}\n 375→\t\tif accHours.Valid {\n 376→\t\t\ttotalAccHours = int(accHours.Int64)\n 377→\t\t}\n 378→\t\tstats = append(stats,\n 379→\t\t\t&model.JobsStatistics{\n 380→\t\t\t\tTotalJobs: int(jobs.Int64),\n 381→\t\t\t\tTotalUsers: int(users.Int64),\n 382→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 383→\t\t\t\tTotalNodeHours: totalNodeHours,\n 384→\t\t\t\tTotalCoreHours: totalCoreHours,\n 385→\t\t\t\tTotalAccHours: totalAccHours,\n 386→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 387→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 388→\t\t\t})\n 389→\t}\n 390→\n 391→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 392→\treturn stats, nil\n 393→}\n 394→\n 395→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 396→// Returns 0.0 if the metric is not found or statType is invalid.\n 397→//\n 398→// Parameters:\n 399→// - job: Job struct with populated Statistics field\n 400→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 401→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 402→//\n 403→// Returns the requested statistic value or 0.0 if not found.\n 404→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 405→\tif stats, ok := job.Statistics[metric]; ok {\n 406→\t\tswitch statType {\n 407→\t\tcase \"avg\":\n 408→\t\t\treturn stats.Avg\n 409→\t\tcase \"max\":\n 410→\t\t\treturn stats.Max\n 411→\t\tcase \"min\":\n 412→\t\t\treturn stats.Min\n 413→\t\tdefault:\n 414→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 415→\t\t}\n 416→\t}\n 417→\n 418→\treturn 0.0\n 419→}\n 420→\n 421→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 422→//\n 423→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 424→// avoiding the overhead of calculating walltime and resource usage metrics.\n 425→//\n 426→// Parameters:\n 427→// - ctx: Context for security checks\n 428→// - filter: Filters to apply\n 429→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 430→//\n 431→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 432→func (r *JobRepository) JobCountGrouped(\n 433→\tctx context.Context,\n 434→\tfilter []*model.JobFilter,\n 435→\tgroupBy *model.Aggregate,\n 436→) ([]*model.JobsStatistics, error) {\n 437→\tstart := time.Now()\n 438→\tcol := groupBy2column[*groupBy]\n 439→\tquery := r.buildCountQuery(filter, \"\", col)\n 440→\tquery, err := SecurityCheck(ctx, query)\n 441→\tif err != nil {\n 442→\t\treturn nil, err\n 443→\t}\n 444→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 445→\tif err != nil {\n 446→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 447→\t\treturn nil, err\n 448→\t}\n 449→\tdefer rows.Close()\n 450→\n 451→\tstats := make([]*model.JobsStatistics, 0, 100)\n 452→\n 453→\tfor rows.Next() {\n 454→\t\tvar id sql.NullString\n 455→\t\tvar cnt sql.NullInt64\n 456→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 457→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 458→\t\t\treturn nil, err\n 459→\t\t}\n 460→\t\tif id.Valid {\n 461→\t\t\tstats = append(stats,\n 462→\t\t\t\t&model.JobsStatistics{\n 463→\t\t\t\t\tID: id.String,\n 464→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 465→\t\t\t\t})\n 466→\t\t}\n 467→\t}\n 468→\n 469→\tif err := rows.Err(); err != nil {\n 470→\t\treturn nil, err\n 471→\t}\n 472→\n 473→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 474→\treturn stats, nil\n 475→}\n 476→\n 477→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 478→//\n 479→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 480→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 481→//\n 482→// Parameters:\n 483→// - ctx: Context for security checks\n 484→// - filter: Filters to apply\n 485→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 486→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 487→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 488→//\n 489→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 490→// Groups without matching jobs will have 0 for the added field.\n 491→func (r *JobRepository) AddJobCountGrouped(\n 492→\tctx context.Context,\n 493→\tfilter []*model.JobFilter,\n 494→\tgroupBy *model.Aggregate,\n 495→\tstats []*model.JobsStatistics,\n 496→\tkind string,\n 497→) ([]*model.JobsStatistics, error) {\n 498→\tstart := time.Now()\n 499→\tcol := groupBy2column[*groupBy]\n 500→\tquery := r.buildCountQuery(filter, kind, col)\n 501→\tquery, err := SecurityCheck(ctx, query)\n 502→\tif err != nil {\n 503→\t\treturn nil, err\n 504→\t}\n 505→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 506→\tif err != nil {\n 507→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 508→\t\treturn nil, err\n 509→\t}\n 510→\tdefer rows.Close()\n 511→\n 512→\tcounts := make(map[string]int)\n 513→\n 514→\tfor rows.Next() {\n 515→\t\tvar id sql.NullString\n 516→\t\tvar cnt sql.NullInt64\n 517→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 518→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 519→\t\t\treturn nil, err\n 520→\t\t}\n 521→\t\tif id.Valid {\n 522→\t\t\tcounts[id.String] = int(cnt.Int64)\n 523→\t\t}\n 524→\t}\n 525→\n 526→\tif err := rows.Err(); err != nil {\n 527→\t\treturn nil, err\n 528→\t}\n 529→\n 530→\tswitch kind {\n 531→\tcase \"running\":\n 532→\t\tfor _, s := range stats {\n 533→\t\t\ts.RunningJobs = counts[s.ID]\n 534→\t\t}\n 535→\tcase \"short\":\n 536→\t\tfor _, s := range stats {\n 537→\t\t\ts.ShortJobs = counts[s.ID]\n 538→\t\t}\n 539→\t}\n 540→\n 541→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 542→\treturn stats, nil\n 543→}\n 544→\n 545→// AddJobCount augments existing overall statistics with additional job counts by category.\n 546→//\n 547→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 548→// to all statistics entries (typically just one).\n 549→//\n 550→// Parameters:\n 551→// - ctx: Context for security checks\n 552→// - filter: Filters to apply\n 553→// - stats: Existing statistics to augment (modified in-place)\n 554→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 555→//\n 556→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 557→func (r *JobRepository) AddJobCount(\n 558→\tctx context.Context,\n 559→\tfilter []*model.JobFilter,\n 560→\tstats []*model.JobsStatistics,\n 561→\tkind string,\n 562→) ([]*model.JobsStatistics, error) {\n 563→\tstart := time.Now()\n 564→\tquery := r.buildCountQuery(filter, kind, \"\")\n 565→\tquery, err := SecurityCheck(ctx, query)\n 566→\tif err != nil {\n 567→\t\treturn nil, err\n 568→\t}\n 569→\tvar cnt sql.NullInt64\n 570→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 571→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 572→\t\treturn nil, err\n 573→\t}\n 574→\n 575→\tcount := int(cnt.Int64)\n 576→\n 577→\tswitch kind {\n 578→\tcase \"running\":\n 579→\t\tfor _, s := range stats {\n 580→\t\t\ts.RunningJobs = count\n 581→\t\t}\n 582→\tcase \"short\":\n 583→\t\tfor _, s := range stats {\n 584→\t\t\ts.ShortJobs = count\n 585→\t\t}\n 586→\t}\n 587→\n 588→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 589→\treturn stats, nil\n 590→}\n 591→\n 592→// AddHistograms augments statistics with distribution histograms for job properties.\n 593→//\n 594→// Generates histogram data for visualization of job duration, node count, core count,\n 595→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 596→// on the requested resolution.\n 597→//\n 598→// Parameters:\n 599→// - ctx: Context for security checks\n 600→// - filter: Filters to apply to jobs included in histograms\n 601→// - stat: Statistics struct to augment (modified in-place)\n 602→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 603→//\n 604→// Populates these fields in stat:\n 605→// - HistDuration: Job duration distribution (zero-padded bins)\n 606→// - HistNumNodes: Node count distribution\n 607→// - HistNumCores: Core (hwthread) count distribution\n 608→// - HistNumAccs: Accelerator count distribution\n 609→//\n 610→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 611→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 612→func (r *JobRepository) AddHistograms(\n 613→\tctx context.Context,\n 614→\tfilter []*model.JobFilter,\n 615→\tstat *model.JobsStatistics,\n 616→\tdurationBins *string,\n 617→) (*model.JobsStatistics, error) {\n 618→\tstart := time.Now()\n 619→\n 620→\tvar targetBinCount int\n 621→\tvar targetBinSize int\n 622→\tswitch *durationBins {\n 623→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 624→\t\ttargetBinCount = 60\n 625→\t\ttargetBinSize = 60\n 626→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 627→\t\ttargetBinCount = 72\n 628→\t\ttargetBinSize = 600\n 629→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 630→\t\ttargetBinCount = 48\n 631→\t\ttargetBinSize = 3600\n 632→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 633→\t\ttargetBinCount = 12\n 634→\t\ttargetBinSize = 21600\n 635→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 636→\t\ttargetBinCount = 14\n 637→\t\ttargetBinSize = 43200\n 638→\tdefault: // 24h\n 639→\t\ttargetBinCount = 24\n 640→\t\ttargetBinSize = 3600\n 641→\t}\n 642→\n 643→\tvar err error\n 644→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 645→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 646→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 647→\tif err != nil {\n 648→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 649→\t\treturn nil, err\n 650→\t}\n 651→\n 652→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 653→\tif err != nil {\n 654→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 655→\t\treturn nil, err\n 656→\t}\n 657→\n 658→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 659→\tif err != nil {\n 660→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 661→\t\treturn nil, err\n 662→\t}\n 663→\n 664→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 665→\tif err != nil {\n 666→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 667→\t\treturn nil, err\n 668→\t}\n 669→\n 670→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 671→\treturn stat, nil\n 672→}\n 673→\n 674→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 675→//\n 676→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 677→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 678→// use footprint data from database.\n 679→//\n 680→// Parameters:\n 681→// - ctx: Context for security checks\n 682→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 683→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 684→// - stat: Statistics struct to augment (modified in-place)\n 685→// - targetBinCount: Number of histogram bins (default: 10)\n 686→//\n 687→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 688→//\n 689→// Binning algorithm:\n 690→// - Values normalized to metric's peak value from cluster configuration\n 691→// - Bins evenly distributed from 0 to peak\n 692→// - Pre-initialized with zeros for consistent visualization\n 693→//\n 694→// Limitations:\n 695→// - Running jobs: Limited to 5000 jobs for performance\n 696→// - Requires valid cluster configuration with metric peak values\n 697→// - Uses footprint statistic (avg/max/min) configured per metric\n 698→func (r *JobRepository) AddMetricHistograms(\n 699→\tctx context.Context,\n 700→\tfilter []*model.JobFilter,\n 701→\tmetrics []string,\n 702→\tstat *model.JobsStatistics,\n 703→\ttargetBinCount *int,\n 704→) (*model.JobsStatistics, error) {\n 705→\tstart := time.Now()\n 706→\n 707→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 708→\tfor _, f := range filter {\n 709→\t\tif f.State != nil {\n 710→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 711→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 712→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 713→\t\t\t\treturn stat, nil\n 714→\t\t\t}\n 715→\t\t}\n 716→\t}\n 717→\n 718→\t// All other cases: Query and make bins in sqlite directly\n 719→\tfor _, m := range metrics {\n 720→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 721→\t\tif err != nil {\n 722→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 723→\t\t\tcontinue\n 724→\t\t}\n 725→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 726→\t}\n 727→\n 728→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\treturn stat, nil\n 730→}\n 731→\n 732→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 733→//\n 734→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 735→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 736→//\n 737→// Parameters:\n 738→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 739→// - filters: Job filters to apply\n 740→//\n 741→// Returns histogram points with Value (from column) and Count (number of jobs).\n 742→func (r *JobRepository) jobsStatisticsHistogram(\n 743→\tctx context.Context,\n 744→\tvalue string,\n 745→\tfilters []*model.JobFilter,\n 746→) ([]*model.HistoPoint, error) {\n 747→\tstart := time.Now()\n 748→\tquery, qerr := SecurityCheck(ctx,\n 749→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 750→\n 751→\tif qerr != nil {\n 752→\t\treturn nil, qerr\n 753→\t}\n 754→\n 755→\tfor _, f := range filters {\n 756→\t\tquery = BuildWhereClause(f, query)\n 757→\t}\n 758→\n 759→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 760→\tif err != nil {\n 761→\t\tcclog.Error(\"Error while running query\")\n 762→\t\treturn nil, err\n 763→\t}\n 764→\tdefer rows.Close()\n 765→\n 766→\tpoints := make([]*model.HistoPoint, 0)\n 767→\t// is it possible to introduce zero values here? requires info about bincount\n 768→\tfor rows.Next() {\n 769→\t\tpoint := model.HistoPoint{}\n 770→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 771→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 772→\t\t\treturn nil, err\n 773→\t\t}\n 774→\n 775→\t\tpoints = append(points, &point)\n 776→\t}\n 777→\n 778→\tif err := rows.Err(); err != nil {\n 779→\t\treturn nil, err\n 780→\t}\n 781→\n 782→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 783→\treturn points, nil\n 784→}\n 785→\n 786→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 787→//\n 788→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 789→// histograms which only return bins with data. The value parameter should compute\n 790→// the bin number from job duration.\n 791→//\n 792→// Parameters:\n 793→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 794→// - filters: Job filters to apply\n 795→// - binSizeSeconds: Width of each bin in seconds\n 796→// - targetBinCount: Number of bins to pre-initialize\n 797→//\n 798→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 799→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 800→//\n 801→// Algorithm:\n 802→// 1. Pre-initialize targetBinCount bins with zero counts\n 803→// 2. Query database for actual counts per bin\n 804→// 3. Match query results to pre-initialized bins by value\n 805→// 4. Bins without matches remain at zero\n 806→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 807→\tctx context.Context,\n 808→\tvalue string,\n 809→\tfilters []*model.JobFilter,\n 810→\tbinSizeSeconds int,\n 811→\ttargetBinCount *int,\n 812→) ([]*model.HistoPoint, error) {\n 813→\tstart := time.Now()\n 814→\tquery, qerr := SecurityCheck(ctx,\n 815→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 816→\n 817→\tif qerr != nil {\n 818→\t\treturn nil, qerr\n 819→\t}\n 820→\n 821→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 822→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 823→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 824→\tfor i := 1; i <= *targetBinCount; i++ {\n 825→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 826→\t\tpoints = append(points, &point)\n 827→\t}\n 828→\n 829→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 830→\tbinMap := make(map[int]int, len(points))\n 831→\tfor i, p := range points {\n 832→\t\tbinMap[p.Value] = i\n 833→\t}\n 834→\n 835→\tfor _, f := range filters {\n 836→\t\tquery = BuildWhereClause(f, query)\n 837→\t}\n 838→\n 839→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 840→\tif err != nil {\n 841→\t\tcclog.Error(\"Error while running query\")\n 842→\t\treturn nil, err\n 843→\t}\n 844→\tdefer rows.Close()\n 845→\n 846→\t// Match query results to pre-initialized bins using map lookup.\n 847→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 848→\tfor rows.Next() {\n 849→\t\tpoint := model.HistoPoint{}\n 850→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 851→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 852→\t\t\treturn nil, err\n 853→\t\t}\n 854→\n 855→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 856→\t\t\tpoints[idx].Count = point.Count\n 857→\t\t}\n 858→\t}\n 859→\n 860→\tif err := rows.Err(); err != nil {\n 861→\t\treturn nil, err\n 862→\t}\n 863→\n 864→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 865→\treturn points, nil\n 866→}\n 867→\n 868→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 869→//\n 870→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 871→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 872→// and computing bin assignments in SQL.\n 873→//\n 874→// Parameters:\n 875→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 876→// - filters: Job filters to apply\n 877→// - bins: Number of bins to generate\n 878→//\n 879→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 880→//\n 881→// Algorithm:\n 882→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 883→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 884→// 3. Pre-initialize bins with min/max ranges based on peak value\n 885→// 4. Query database for counts per bin\n 886→// 5. Match results to pre-initialized bins\n 887→//\n 888→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 889→// peak by 0.999999999 to avoid creating an extra bin.\n 890→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 891→\tctx context.Context,\n 892→\tmetric string,\n 893→\tfilters []*model.JobFilter,\n 894→\tbins *int,\n 895→) (*model.MetricHistoPoints, error) {\n 896→\t// Peak value defines the upper bound for binning: values are distributed across\n 897→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 898→\t// scan all clusters to find the maximum peak value.\n 899→\tvar metricConfig *schema.MetricConfig\n 900→\tvar peak float64\n 901→\tvar unit string\n 902→\tvar footprintStat string\n 903→\n 904→\t// Try to get metric config from filtered cluster\n 905→\tfor _, f := range filters {\n 906→\t\tif f.Cluster != nil {\n 907→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 908→\t\t\tpeak = metricConfig.Peak\n 909→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 910→\t\t\tfootprintStat = metricConfig.Footprint\n 911→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 912→\t\t}\n 913→\t}\n 914→\n 915→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 916→\t// This ensures histogram can accommodate all possible values\n 917→\tif peak == 0.0 {\n 918→\t\tfor _, c := range archive.Clusters {\n 919→\t\t\tfor _, m := range c.MetricConfig {\n 920→\t\t\t\tif m.Name == metric {\n 921→\t\t\t\t\tif m.Peak > peak {\n 922→\t\t\t\t\t\tpeak = m.Peak\n 923→\t\t\t\t\t}\n 924→\t\t\t\t\tif unit == \"\" {\n 925→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 926→\t\t\t\t\t}\n 927→\t\t\t\t\tif footprintStat == \"\" {\n 928→\t\t\t\t\t\tfootprintStat = m.Footprint\n 929→\t\t\t\t\t}\n 930→\t\t\t\t}\n 931→\t\t\t}\n 932→\t\t}\n 933→\t}\n 934→\n 935→\t// Construct SQL histogram bins using normalized values.\n 936→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 937→\tstart := time.Now()\n 938→\n 939→\t// Bin calculation formula:\n 940→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 941→\t// Special case: value == peak would create bin N+1, so we test for equality\n 942→\t// and multiply peak by 0.999999999 to force it into bin N.\n 943→\tbinQuery := fmt.Sprintf(`CAST(\n 944→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 945→\t\t* %v as INTEGER )`,\n 946→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 947→\n 948→\tmainQuery := sq.Select(\n 949→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 950→\t\t`count(*) as count`,\n 951→\t).From(\"job\").Where(\n 952→\t\t\"JSON_VALID(footprint)\",\n 953→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 954→\n 955→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 956→\tif qerr != nil {\n 957→\t\treturn nil, qerr\n 958→\t}\n 959→\n 960→\tfor _, f := range filters {\n 961→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 962→\t}\n 963→\n 964→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 965→\n 966→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 967→\tif err != nil {\n 968→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 969→\t\treturn nil, err\n 970→\t}\n 971→\tdefer rows.Close()\n 972→\n 973→\t// Pre-initialize bins with calculated min/max ranges.\n 974→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 975→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 976→\tbinStep := int(peak) / *bins\n 977→\tfor i := 1; i <= *bins; i++ {\n 978→\t\tbinMin := (binStep * (i - 1))\n 979→\t\tbinMax := (binStep * i)\n 980→\t\tidx := i\n 981→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 982→\t\tpoints = append(points, &epoint)\n 983→\t}\n 984→\n 985→\t// Build a map from bin number to slice index for O(1) lookup.\n 986→\tbinMap := make(map[int]int, len(points))\n 987→\tfor i, p := range points {\n 988→\t\tif p.Bin != nil {\n 989→\t\t\tbinMap[*p.Bin] = i\n 990→\t\t}\n 991→\t}\n 992→\n 993→\t// Match query results to pre-initialized bins using map lookup.\n 994→\tfor rows.Next() {\n 995→\t\trpoint := model.MetricHistoPoint{}\n 996→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 997→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 998→\t\t\treturn nil, err\n 999→\t\t}\n 1000→\n 1001→\t\tif rpoint.Bin != nil {\n 1002→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1003→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1004→\t\t\t}\n 1005→\t\t}\n 1006→\t}\n 1007→\n 1008→\tif err := rows.Err(); err != nil {\n 1009→\t\treturn nil, err\n 1010→\t}\n 1011→\n 1012→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1013→\n 1014→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1015→\treturn &result, nil\n 1016→}\n 1017→\n 1018→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1019→//\n 1020→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1021→// fetching current metric averages from the metric backend (via metricdispatch).\n 1022→//\n 1023→// Parameters:\n 1024→// - metrics: List of metric names\n 1025→// - filters: Job filters (should filter to running jobs only)\n 1026→// - bins: Number of histogram bins\n 1027→//\n 1028→// Returns slice of MetricHistoPoints, one per metric.\n 1029→//\n 1030→// Limitations:\n 1031→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1032→// - Requires metric backend availability\n 1033→// - Bins based on metric peak values from cluster configuration\n 1034→//\n 1035→// Algorithm:\n 1036→// 1. Query first 5001 jobs to check count limit\n 1037→// 2. Load metric averages for all jobs via metricdispatch\n 1038→// 3. For each metric, create bins based on peak value\n 1039→// 4. Iterate averages and count jobs per bin\n 1040→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1041→\tctx context.Context,\n 1042→\tmetrics []string,\n 1043→\tfilters []*model.JobFilter,\n 1044→\tbins *int,\n 1045→) []*model.MetricHistoPoints {\n 1046→\t// Get Jobs\n 1047→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1048→\tif err != nil {\n 1049→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1050→\t\treturn nil\n 1051→\t}\n 1052→\tif len(jobs) > 5000 {\n 1053→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1054→\t\treturn nil\n 1055→\t}\n 1056→\n 1057→\t// Get AVGs from metric repo\n 1058→\tavgs := make([][]schema.Float, len(metrics))\n 1059→\tfor i := range avgs {\n 1060→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1061→\t}\n 1062→\n 1063→\tfor _, job := range jobs {\n 1064→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1065→\t\t\tcontinue\n 1066→\t\t}\n 1067→\n 1068→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1069→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1070→\t\t\treturn nil\n 1071→\t\t}\n 1072→\t}\n 1073→\n 1074→\t// Iterate metrics to fill endresult\n 1075→\tdata := make([]*model.MetricHistoPoints, 0)\n 1076→\tfor idx, metric := range metrics {\n 1077→\t\t// Get specific Peak or largest Peak\n 1078→\t\tvar metricConfig *schema.MetricConfig\n 1079→\t\tvar peak float64\n 1080→\t\tvar unit string\n 1081→\n 1082→\t\tfor _, f := range filters {\n 1083→\t\t\tif f.Cluster != nil {\n 1084→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1085→\t\t\t\tpeak = metricConfig.Peak\n 1086→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1087→\t\t\t}\n 1088→\t\t}\n 1089→\n 1090→\t\tif peak == 0.0 {\n 1091→\t\t\tfor _, c := range archive.Clusters {\n 1092→\t\t\t\tfor _, m := range c.MetricConfig {\n 1093→\t\t\t\t\tif m.Name == metric {\n 1094→\t\t\t\t\t\tif m.Peak > peak {\n 1095→\t\t\t\t\t\t\tpeak = m.Peak\n 1096→\t\t\t\t\t\t}\n 1097→\t\t\t\t\t\tif unit == \"\" {\n 1098→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1099→\t\t\t\t\t\t}\n 1100→\t\t\t\t\t}\n 1101→\t\t\t\t}\n 1102→\t\t\t}\n 1103→\t\t}\n 1104→\n 1105→\t\t// Make and fill bins\n 1106→\t\tpeakBin := int(peak) / *bins\n 1107→\n 1108→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1109→\t\tfor b := 0; b < *bins; b++ {\n 1110→\t\t\tcount := 0\n 1111→\t\t\tbindex := b + 1\n 1112→\t\t\tbmin := peakBin * b\n 1113→\t\t\tbmax := peakBin * (b + 1)\n 1114→\n 1115→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1116→\t\t\tfor _, val := range avgs[idx] {\n 1117→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1118→\t\t\t\t\tcount += 1\n 1119→\t\t\t\t}\n 1120→\t\t\t}\n 1121→\n 1122→\t\t\t// Append Bin to Metric Result Array\n 1123→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1124→\t\t\tpoints = append(points, &point)\n 1125→\t\t}\n 1126→\n 1127→\t\t// Append Metric Result Array to final results array\n 1128→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1129→\t\tdata = append(data, &result)\n 1130→\t}\n 1131→\n 1132→\treturn data\n 1133→}\n 1134→"}]},"uuid":"8e648dca-247d-4294-b32e-57b625e2752a","timestamp":"2026-03-13T13:24:04.576Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn 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generating and any unknown code will be moved to the end.\n 6→// Code generated by github.com/99designs/gqlgen version v0.17.87\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"math\"\n 13→\t\"regexp\"\n 14→\t\"slices\"\n 15→\t\"strconv\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→)\n 29→\n 30→// Partitions is the resolver for the partitions field.\n 31→func (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n 32→\treturn r.Repo.Partitions(obj.Name)\n 33→}\n 34→\n 35→// StartTime is the resolver for the startTime field.\n 36→func (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n 37→\ttimestamp := time.Unix(obj.StartTime, 0)\n 38→\treturn ×tamp, nil\n 39→}\n 40→\n 41→// Tags is the resolver for the tags field.\n 42→func (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n 43→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n 44→}\n 45→\n 46→// ConcurrentJobs is the resolver for the concurrentJobs field.\n 47→func (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n 48→\t// FIXME: Make the hardcoded duration configurable\n 49→\tif obj.Shared != \"none\" && obj.Duration > 600 {\n 50→\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n 51→\t}\n 52→\n 53→\treturn nil, nil\n 54→}\n 55→\n 56→// Footprint is the resolver for the footprint field.\n 57→func (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n 58→\trawFootprint, err := r.Repo.FetchFootprint(obj)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while fetching job footprint data\")\n 61→\t\treturn nil, err\n 62→\t}\n 63→\n 64→\tres := []*model.FootprintValue{}\n 65→\tfor name, value := range rawFootprint {\n 66→\n 67→\t\tparts := strings.Split(name, \"_\")\n 68→\t\tstatPart := parts[len(parts)-1]\n 69→\t\tnameParts := parts[:len(parts)-1]\n 70→\n 71→\t\tres = append(res, &model.FootprintValue{\n 72→\t\t\tName: strings.Join(nameParts, \"_\"),\n 73→\t\t\tStat: statPart,\n 74→\t\t\tValue: value,\n 75→\t\t})\n 76→\t}\n 77→\n 78→\treturn res, err\n 79→}\n 80→\n 81→// EnergyFootprint is the resolver for the energyFootprint field.\n 82→func (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n 83→\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n 84→\tif err != nil {\n 85→\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n 86→\t\treturn nil, err\n 87→\t}\n 88→\n 89→\tres := []*model.EnergyFootprintValue{}\n 90→\tfor name, value := range rawEnergyFootprint {\n 91→\t\t// Suboptimal: Nearly hardcoded metric name expectations\n 92→\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n 93→\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n 94→\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n 95→\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n 96→\n 97→\t\thwType := \"\"\n 98→\t\tswitch test := name; { // NOtice ';' for var declaration\n 99→\t\tcase matchCPU.MatchString(test):\n 100→\t\t\thwType = \"CPU\"\n 101→\t\tcase matchAcc.MatchString(test):\n 102→\t\t\thwType = \"Accelerator\"\n 103→\t\tcase matchMem.MatchString(test):\n 104→\t\t\thwType = \"Memory\"\n 105→\t\tcase matchCore.MatchString(test):\n 106→\t\t\thwType = \"Core\"\n 107→\t\tdefault:\n 108→\t\t\thwType = \"Other\"\n 109→\t\t}\n 110→\n 111→\t\tres = append(res, &model.EnergyFootprintValue{\n 112→\t\t\tHardware: hwType,\n 113→\t\t\tMetric: name,\n 114→\t\t\tValue: value,\n 115→\t\t})\n 116→\t}\n 117→\treturn res, err\n 118→}\n 119→\n 120→// MetaData is the resolver for the metaData field.\n 121→func (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n 122→\treturn r.Repo.FetchMetadata(obj)\n 123→}\n 124→\n 125→// UserData is the resolver for the userData field.\n 126→func (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n 127→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n 128→}\n 129→\n 130→// Name is the resolver for the name field.\n 131→func (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n 132→\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n 133→}\n 134→\n 135→// CreateTag is the resolver for the createTag field.\n 136→func (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n 137→\tuser := repository.GetUserFromContext(ctx)\n 138→\tif user == nil {\n 139→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 140→\t}\n 141→\n 142→\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 143→\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n 144→\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n 145→\t\tuser.Username == scope {\n 146→\t\t// Create in DB\n 147→\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n 148→\t\tif err != nil {\n 149→\t\t\tcclog.Warn(\"Error while creating tag\")\n 150→\t\t\treturn nil, err\n 151→\t\t}\n 152→\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n 153→\t} else {\n 154→\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n 155→\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n 156→\t}\n 157→}\n 158→\n 159→// DeleteTag is the resolver for the deleteTag field.\n 160→func (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n 161→\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n 162→\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n 163→}\n 164→\n 165→// AddTagsToJob is the resolver for the addTagsToJob field.\n 166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 167→\tuser := repository.GetUserFromContext(ctx)\n 168→\tif user == nil {\n 169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 170→\t}\n 171→\n 172→\tjid, err := strconv.ParseInt(job, 10, 64)\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"Error while adding tag to job\")\n 175→\t\treturn nil, err\n 176→\t}\n 177→\n 178→\ttags := []*schema.Tag{}\n 179→\tfor _, tagID := range tagIds {\n 180→\t\t// Get ID\n 181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 182→\t\tif err != nil {\n 183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 184→\t\t\treturn nil, err\n 185→\t\t}\n 186→\n 187→\t\t// Test Exists\n 188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 189→\t\tif !exists {\n 190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 192→\t\t}\n 193→\n 194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 197→\t\t\tuser.Username == tscope {\n 198→\t\t\t// Add to Job\n 199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n 200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n 201→\t\t\t\treturn nil, err\n 202→\t\t\t}\n 203→\t\t} else {\n 204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n 205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n 206→\t\t}\n 207→\t}\n 208→\n 209→\treturn tags, nil\n 210→}\n 211→\n 212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n 213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 214→\tuser := repository.GetUserFromContext(ctx)\n 215→\tif user == nil {\n 216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 217→\t}\n 218→\n 219→\tjid, err := strconv.ParseInt(job, 10, 64)\n 220→\tif err != nil {\n 221→\t\tcclog.Warn(\"Error while parsing job id\")\n 222→\t\treturn nil, err\n 223→\t}\n 224→\n 225→\ttags := []*schema.Tag{}\n 226→\tfor _, tagID := range tagIds {\n 227→\t\t// Get ID\n 228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 229→\t\tif err != nil {\n 230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 231→\t\t\treturn nil, err\n 232→\t\t}\n 233→\n 234→\t\t// Test Exists\n 235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 236→\t\tif !exists {\n 237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 239→\t\t}\n 240→\n 241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 244→\t\t\tuser.Username == tscope {\n 245→\t\t\t// Remove from Job\n 246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n 247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 248→\t\t\t\treturn nil, err\n 249→\t\t\t}\n 250→\t\t} else {\n 251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 253→\t\t}\n 254→\n 255→\t}\n 256→\n 257→\treturn tags, nil\n 258→}\n 259→\n 260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n 261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n 262→\t// Needs Contextuser\n 263→\tuser := repository.GetUserFromContext(ctx)\n 264→\tif user == nil {\n 265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 266→\t}\n 267→\n 268→\ttags := []int{}\n 269→\tfor _, tagID := range tagIds {\n 270→\t\t// Get ID\n 271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 272→\t\tif err != nil {\n 273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n 274→\t\t\treturn nil, err\n 275→\t\t}\n 276→\n 277→\t\t// Test Exists\n 278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 279→\t\tif !exists {\n 280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 282→\t\t}\n 283→\n 284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n 285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n 286→\t\t\t// Remove from DB\n 287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n 288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 289→\t\t\t\treturn nil, err\n 290→\t\t\t} else {\n 291→\t\t\t\ttags = append(tags, int(tid))\n 292→\t\t\t}\n 293→\t\t} else {\n 294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 296→\t\t}\n 297→\t}\n 298→\treturn tags, nil\n 299→}\n 300→\n 301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n 302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n 303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n 304→\t\tcclog.Warn(\"Error while updating user config\")\n 305→\t\treturn nil, err\n 306→\t}\n 307→\n 308→\treturn nil, nil\n 309→}\n 310→\n 311→// ID is the resolver for the id field.\n 312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n 313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n 314→}\n 315→\n 316→// SchedulerState is the resolver for the schedulerState field.\n 317→func (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n 318→\tif obj.NodeState != \"\" {\n 319→\t\treturn obj.NodeState, nil\n 320→\t} else {\n 321→\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n 322→\t}\n 323→}\n 324→\n 325→// HealthState is the resolver for the healthState field.\n 326→func (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n 327→\tif obj.HealthState != \"\" {\n 328→\t\treturn string(obj.HealthState), nil\n 329→\t} else {\n 330→\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n 331→\t}\n 332→}\n 333→\n 334→// MetaData is the resolver for the metaData field.\n 335→func (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n 336→\tif obj.MetaData != nil {\n 337→\t\treturn obj.MetaData, nil\n 338→\t} else {\n 339→\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n 340→\t\temptyMeta := make(map[string]string, 0)\n 341→\t\treturn emptyMeta, nil\n 342→\t}\n 343→}\n 344→\n 345→// HealthData is the resolver for the healthData field.\n 346→func (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n 347→\tif obj.HealthData != nil {\n 348→\t\treturn obj.HealthData, nil\n 349→\t} else {\n 350→\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n 351→\t\temptyHealth := make(map[string][]string, 0)\n 352→\t\treturn emptyHealth, nil\n 353→\t}\n 354→}\n 355→\n 356→// Clusters is the resolver for the clusters field.\n 357→func (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n 358→\treturn archive.Clusters, nil\n 359→}\n 360→\n 361→// Tags is the resolver for the tags field.\n 362→func (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n 363→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n 364→}\n 365→\n 366→// GlobalMetrics is the resolver for the globalMetrics field.\n 367→func (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n 368→\tuser := repository.GetUserFromContext(ctx)\n 369→\n 370→\tif user != nil {\n 371→\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n 372→\t\t\treturn archive.GlobalUserMetricList, nil\n 373→\t\t}\n 374→\t}\n 375→\n 376→\treturn archive.GlobalMetricList, nil\n 377→}\n 378→\n 379→// User is the resolver for the user field.\n 380→func (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n 381→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n 382→}\n 383→\n 384→// AllocatedNodes is the resolver for the allocatedNodes field.\n 385→func (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n 386→\tdata, err := r.Repo.AllocatedNodes(cluster)\n 387→\tif err != nil {\n 388→\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n 389→\t\treturn nil, err\n 390→\t}\n 391→\n 392→\tcounts := make([]*model.Count, 0, len(data))\n 393→\tfor subcluster, hosts := range data {\n 394→\t\tcounts = append(counts, &model.Count{\n 395→\t\t\tName: subcluster,\n 396→\t\t\tCount: len(hosts),\n 397→\t\t})\n 398→\t}\n 399→\n 400→\treturn counts, nil\n 401→}\n 402→\n 403→// Node is the resolver for the node field.\n 404→func (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n 405→\trepo := repository.GetNodeRepository()\n 406→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n 407→\tif err != nil {\n 408→\t\tcclog.Warn(\"Error while parsing job id\")\n 409→\t\treturn nil, err\n 410→\t}\n 411→\treturn repo.GetNodeByID(numericID, false)\n 412→}\n 413→\n 414→// Nodes is the resolver for the nodes field.\n 415→func (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n 416→\trepo := repository.GetNodeRepository()\n 417→\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n 418→\tcount := len(nodes)\n 419→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n 420→}\n 421→\n 422→// NodesWithMeta is the resolver for the nodesWithMeta field.\n 423→func (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n 424→\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n 425→\trepo := repository.GetNodeRepository()\n 426→\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n 427→\tcount := len(nodes)\n 428→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n 429→}\n 430→\n 431→// NodeStates is the resolver for the nodeStates field.\n 432→func (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n 433→\trepo := repository.GetNodeRepository()\n 434→\n 435→\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n 436→\tif serr != nil {\n 437→\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n 438→\t\treturn nil, serr\n 439→\t}\n 440→\n 441→\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n 442→\tif herr != nil {\n 443→\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n 444→\t\treturn nil, herr\n 445→\t}\n 446→\n 447→\tallCounts := append(stateCounts, healthCounts...)\n 448→\n 449→\treturn allCounts, nil\n 450→}\n 451→\n 452→// NodeStatesTimed is the resolver for the nodeStatesTimed field.\n 453→func (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n 454→\trepo := repository.GetNodeRepository()\n 455→\n 456→\tif typeArg == \"node\" {\n 457→\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n 458→\t\tif serr != nil {\n 459→\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n 460→\t\t\treturn nil, serr\n 461→\t\t}\n 462→\t\treturn stateCounts, nil\n 463→\t}\n 464→\n 465→\tif typeArg == \"health\" {\n 466→\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n 467→\t\tif herr != nil {\n 468→\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n 469→\t\t\treturn nil, herr\n 470→\t\t}\n 471→\t\treturn healthCounts, nil\n 472→\t}\n 473→\n 474→\treturn nil, errors.New(\"unknown Node State Query Type\")\n 475→}\n 476→\n 477→// Job is the resolver for the job field.\n 478→func (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n 479→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n 480→\tif err != nil {\n 481→\t\tcclog.Warn(\"Error while parsing job id\")\n 482→\t\treturn nil, err\n 483→\t}\n 484→\n 485→\tjob, err := r.Repo.FindByID(ctx, numericID)\n 486→\tif err != nil {\n 487→\t\tcclog.Warn(\"Error while finding job by id\")\n 488→\t\treturn nil, err\n 489→\t}\n 490→\n 491→\tif user := repository.GetUserFromContext(ctx); user != nil &&\n 492→\t\tjob.User != user.Username &&\n 493→\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 494→\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n 495→\t}\n 496→\n 497→\treturn job, nil\n 498→}\n 499→\n 500→// JobMetrics is the resolver for the jobMetrics field.\n 501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n 502→\tif resolution == nil { // Load from Config\n 503→\t\tif config.Keys.EnableResampling != nil {\n 504→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 505→\t\t\tresolution = &defaultRes\n 506→\t\t} else { // Set 0 (Loads configured metric timestep)\n 507→\t\t\tdefaultRes := 0\n 508→\t\t\tresolution = &defaultRes\n 509→\t\t}\n 510→\t}\n 511→\n 512→\tjob, err := r.Query().Job(ctx, id)\n 513→\tif err != nil {\n 514→\t\tcclog.Warn(\"Error while querying job for metrics\")\n 515→\t\treturn nil, err\n 516→\t}\n 517→\n 518→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n 519→\tif err != nil {\n 520→\t\tcclog.Warn(\"Error while loading job data\")\n 521→\t\treturn nil, err\n 522→\t}\n 523→\n 524→\tres := []*model.JobMetricWithName{}\n 525→\tfor name, md := range data {\n 526→\t\tfor scope, metric := range md {\n 527→\t\t\tres = append(res, &model.JobMetricWithName{\n 528→\t\t\t\tName: name,\n 529→\t\t\t\tScope: scope,\n 530→\t\t\t\tMetric: metric,\n 531→\t\t\t})\n 532→\t\t}\n 533→\t}\n 534→\n 535→\treturn res, err\n 536→}\n 537→\n 538→// JobStats is the resolver for the jobStats field.\n 539→func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n 540→\tjob, err := r.Query().Job(ctx, id)\n 541→\tif err != nil {\n 542→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n 543→\t\treturn nil, err\n 544→\t}\n 545→\n 546→\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 547→\tif err != nil {\n 548→\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n 549→\t\treturn nil, err\n 550→\t}\n 551→\n 552→\tres := []*model.NamedStats{}\n 553→\tfor name, md := range data {\n 554→\t\tres = append(res, &model.NamedStats{\n 555→\t\t\tName: name,\n 556→\t\t\tData: &md,\n 557→\t\t})\n 558→\t}\n 559→\n 560→\treturn res, err\n 561→}\n 562→\n 563→// ScopedJobStats is the resolver for the scopedJobStats field.\n 564→func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n 565→\tjob, err := r.Query().Job(ctx, id)\n 566→\tif err != nil {\n 567→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n 568→\t\treturn nil, err\n 569→\t}\n 570→\n 571→\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n 572→\tif err != nil {\n 573→\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n 574→\t\treturn nil, err\n 575→\t}\n 576→\n 577→\tres := make([]*model.NamedStatsWithScope, 0)\n 578→\tfor name, scoped := range data {\n 579→\t\tfor scope, stats := range scoped {\n 580→\n 581→\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n 582→\t\t\tfor _, stat := range stats {\n 583→\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n 584→\t\t\t\t\tHostname: stat.Hostname,\n 585→\t\t\t\t\tID: stat.ID,\n 586→\t\t\t\t\tData: stat.Data,\n 587→\t\t\t\t})\n 588→\t\t\t}\n 589→\n 590→\t\t\tres = append(res, &model.NamedStatsWithScope{\n 591→\t\t\t\tName: name,\n 592→\t\t\t\tScope: scope,\n 593→\t\t\t\tStats: mdlStats,\n 594→\t\t\t})\n 595→\t\t}\n 596→\t}\n 597→\n 598→\treturn res, nil\n 599→}\n 600→\n 601→// Jobs is the resolver for the jobs field.\n 602→func (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n 603→\tif page == nil {\n 604→\t\tpage = &model.PageRequest{\n 605→\t\t\tItemsPerPage: 50,\n 606→\t\t\tPage: 1,\n 607→\t\t}\n 608→\t}\n 609→\n 610→\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n 611→\tif err != nil {\n 612→\t\tcclog.Warn(\"Error while querying jobs\")\n 613→\t\treturn nil, err\n 614→\t}\n 615→\n 616→\tcount, err := r.Repo.CountJobs(ctx, filter)\n 617→\tif err != nil {\n 618→\t\tcclog.Warn(\"Error while counting jobs\")\n 619→\t\treturn nil, err\n 620→\t}\n 621→\n 622→\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n 623→\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n 624→\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n 625→\t/*\n 626→\t Example Page 4 @ 10 IpP : Does item 41 exist?\n 627→\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n 628→\t*/\n 629→\thasNextPage := false\n 630→\tif page.ItemsPerPage != -1 {\n 631→\t\tnextPage := &model.PageRequest{\n 632→\t\t\tItemsPerPage: 1,\n 633→\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n 634→\t\t}\n 635→\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n 636→\t\tif err != nil {\n 637→\t\t\tcclog.Warn(\"Error while querying next jobs\")\n 638→\t\t\treturn nil, err\n 639→\t\t}\n 640→\t\thasNextPage = len(nextJobs) == 1\n 641→\t}\n 642→\n 643→\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n 644→}\n 645→\n 646→// JobsStatistics is the resolver for the jobsStatistics field.\n 647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n 648→\tvar err error\n 649→\tvar stats []*model.JobsStatistics\n 650→\n 651→\t// Top Level Defaults\n 652→\tdefaultDurationBins := \"1h\"\n 653→\tdefaultMetricBins := 10\n 654→\n 655→\t// Build requested fields map for selective column computation\n 656→\tstatsFields := []string{\n 657→\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n 658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n 659→\t}\n 660→\treqFields := make(map[string]bool, len(statsFields))\n 661→\tfetchedMainStats := false\n 662→\tfor _, f := range statsFields {\n 663→\t\tif requireField(ctx, f) {\n 664→\t\t\treqFields[f] = true\n 665→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n 666→\t\t\t\tfetchedMainStats = true\n 667→\t\t\t}\n 668→\t\t}\n 669→\t}\n 670→\n 671→\tif fetchedMainStats {\n 672→\t\tif groupBy == nil {\n 673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n 674→\t\t} else {\n 675→\t\t\tstartGrouped := time.Now()\n 676→\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n 677→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n 678→\t\t}\n 679→\t} else {\n 680→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 681→\t\tstats = append(stats, &model.JobsStatistics{})\n 682→\t}\n 683→\n 684→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n 685→\t// Only run separate count queries if main stats were not fetched.\n 686→\tif !fetchedMainStats {\n 687→\t\tif groupBy != nil {\n 688→\t\t\tif requireField(ctx, \"shortJobs\") {\n 689→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n 690→\t\t\t}\n 691→\t\t\tif requireField(ctx, \"runningJobs\") {\n 692→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n 693→\t\t\t}\n 694→\t\t} else {\n 695→\t\t\tif requireField(ctx, \"shortJobs\") {\n 696→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n 697→\t\t\t}\n 698→\t\t\tif requireField(ctx, \"runningJobs\") {\n 699→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n 700→\t\t\t}\n 701→\t\t}\n 702→\t}\n 703→\n 704→\tif err != nil {\n 705→\t\treturn nil, err\n 706→\t}\n 707→\n 708→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n 709→\n 710→\t\tif numDurationBins == nil {\n 711→\t\t\tnumDurationBins = &defaultDurationBins\n 712→\t\t}\n 713→\n 714→\t\tif groupBy == nil {\n 715→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n 716→\t\t\tif err != nil {\n 717→\t\t\t\treturn nil, err\n 718→\t\t\t}\n 719→\t\t} else {\n 720→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n 721→\t\t}\n 722→\t}\n 723→\n 724→\tif requireField(ctx, \"histMetrics\") {\n 725→\n 726→\t\tif numMetricBins == nil {\n 727→\t\t\tnumMetricBins = &defaultMetricBins\n 728→\t\t}\n 729→\n 730→\t\tif groupBy == nil {\n 731→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n 732→\t\t\tif err != nil {\n 733→\t\t\t\treturn nil, err\n 734→\t\t\t}\n 735→\t\t} else {\n 736→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n 737→\t\t}\n 738→\t}\n 739→\n 740→\treturn stats, nil\n 741→}\n 742→\n 743→// JobsMetricStats is the resolver for the jobsMetricStats field.\n 744→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n 745→\t// No Paging, Fixed Order by StartTime ASC\n 746→\torder := &model.OrderByInput{\n 747→\t\tField: \"startTime\",\n 748→\t\tType: \"col\",\n 749→\t\tOrder: \"ASC\",\n 750→\t}\n 751→\n 752→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n 753→\tif err != nil {\n 754→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n 755→\t\treturn nil, err\n 756→\t}\n 757→\n 758→\tres := []*model.JobStats{}\n 759→\tfor _, job := range jobs {\n 760→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 761→\t\tif err != nil {\n 762→\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n 763→\t\t\tcontinue\n 764→\t\t\t// return nil, err\n 765→\t\t}\n 766→\n 767→\t\tsres := []*model.NamedStats{}\n 768→\t\tfor name, md := range data {\n 769→\t\t\tsres = append(sres, &model.NamedStats{\n 770→\t\t\t\tName: name,\n 771→\t\t\t\tData: &md,\n 772→\t\t\t})\n 773→\t\t}\n 774→\n 775→\t\tnumThreadsInt := int(job.NumHWThreads)\n 776→\t\tnumAccsInt := int(job.NumAcc)\n 777→\t\tres = append(res, &model.JobStats{\n 778→\t\t\tID: int(*job.ID),\n 779→\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n 780→\t\t\tStartTime: int(job.StartTime),\n 781→\t\t\tDuration: int(job.Duration),\n 782→\t\t\tCluster: job.Cluster,\n 783→\t\t\tSubCluster: job.SubCluster,\n 784→\t\t\tNumNodes: int(job.NumNodes),\n 785→\t\t\tNumHWThreads: &numThreadsInt,\n 786→\t\t\tNumAccelerators: &numAccsInt,\n 787→\t\t\tStats: sres,\n 788→\t\t})\n 789→\t}\n 790→\treturn res, err\n 791→}\n 792→\n 793→// JobsFootprints is the resolver for the jobsFootprints field.\n 794→func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 795→\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n 796→\treturn r.jobsFootprints(ctx, filter, metrics)\n 797→}\n 798→\n 799→// RooflineHeatmap is the resolver for the rooflineHeatmap field.\n 800→func (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n 801→\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n 802→}\n 803→\n 804→// NodeMetrics is the resolver for the nodeMetrics field.\n 805→func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n 806→\tuser := repository.GetUserFromContext(ctx)\n 807→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 808→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 809→\t}\n 810→\n 811→\tdefaultMetrics := make([]string, 0)\n 812→\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 813→\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n 814→\t}\n 815→\tif metrics == nil {\n 816→\t\tmetrics = defaultMetrics\n 817→\t} else {\n 818→\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n 819→\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n 820→\t\t})\n 821→\t}\n 822→\n 823→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n 824→\tif err != nil {\n 825→\t\tcclog.Warn(\"error while loading node data\")\n 826→\t\treturn nil, err\n 827→\t}\n 828→\n 829→\tnodeRepo := repository.GetNodeRepository()\n 830→\tstateMap, _ := nodeRepo.MapNodes(cluster)\n 831→\n 832→\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n 833→\tfor hostname, metrics := range data {\n 834→\t\thost := &model.NodeMetrics{\n 835→\t\t\tHost: hostname,\n 836→\t\t\tState: stateMap[hostname],\n 837→\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n 838→\t\t}\n 839→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n 840→\t\tif err != nil {\n 841→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n 842→\t\t}\n 843→\n 844→\t\tfor metric, scopedMetrics := range metrics {\n 845→\t\t\tfor _, scopedMetric := range scopedMetrics {\n 846→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n 847→\t\t\t\t\tName: metric,\n 848→\t\t\t\t\tScope: schema.MetricScopeNode,\n 849→\t\t\t\t\tMetric: scopedMetric,\n 850→\t\t\t\t})\n 851→\t\t\t}\n 852→\t\t}\n 853→\n 854→\t\tnodeMetrics = append(nodeMetrics, host)\n 855→\t}\n 856→\n 857→\treturn nodeMetrics, nil\n 858→}\n 859→\n 860→// NodeMetricsList is the resolver for the nodeMetricsList field.\n 861→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n 862→\tif resolution == nil { // Load from Config\n 863→\t\tif config.Keys.EnableResampling != nil {\n 864→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 865→\t\t\tresolution = &defaultRes\n 866→\t\t} else { // Set 0 (Loads configured metric timestep)\n 867→\t\t\tdefaultRes := 0\n 868→\t\t\tresolution = &defaultRes\n 869→\t\t}\n 870→\t}\n 871→\n 872→\tuser := repository.GetUserFromContext(ctx)\n 873→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 874→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 875→\t}\n 876→\n 877→\tnodeRepo := repository.GetNodeRepository()\n 878→\t// nodes -> array hostname\n 879→\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n 880→\tif nerr != nil {\n 881→\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n 882→\t}\n 883→\n 884→\tif metrics == nil {\n 885→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 886→\t\t\tmetrics = append(metrics, mc.Name)\n 887→\t\t}\n 888→\t}\n 889→\n 890→\t// data -> map hostname:jobdata\n 891→\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n 892→\tif err != nil {\n 893→\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n 894→\t\treturn nil, err\n 895→\t}\n 896→\n 897→\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n 898→\tfor _, hostname := range nodes {\n 899→\t\thost := &model.NodeMetrics{\n 900→\t\t\tHost: hostname,\n 901→\t\t\tState: stateMap[hostname],\n 902→\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n 903→\t\t}\n 904→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n 905→\t\tif err != nil {\n 906→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n 907→\t\t}\n 908→\n 909→\t\tfor metric, scopedMetrics := range data[hostname] {\n 910→\t\t\tfor scope, scopedMetric := range scopedMetrics {\n 911→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n 912→\t\t\t\t\tName: metric,\n 913→\t\t\t\t\tScope: scope,\n 914→\t\t\t\t\tMetric: scopedMetric,\n 915→\t\t\t\t})\n 916→\t\t\t}\n 917→\t\t}\n 918→\n 919→\t\tnodeMetricsList = append(nodeMetricsList, host)\n 920→\t}\n 921→\n 922→\tnodeMetricsListResult := &model.NodesResultList{\n 923→\t\tItems: nodeMetricsList,\n 924→\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n 925→\t\tTotalNodes: &countNodes,\n 926→\t\tHasNextPage: &hasNextPage,\n 927→\t}\n 928→\n 929→\treturn nodeMetricsListResult, nil\n 930→}\n 931→\n 932→// ClusterMetrics is the resolver for the clusterMetrics field.\n 933→func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n 934→\tuser := repository.GetUserFromContext(ctx)\n 935→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 936→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 937→\t}\n 938→\n 939→\tif metrics == nil {\n 940→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 941→\t\t\tmetrics = append(metrics, mc.Name)\n 942→\t\t}\n 943→\t}\n 944→\n 945→\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n 946→\tscopes := []schema.MetricScope{\"node\"}\n 947→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n 948→\tif err != nil {\n 949→\t\tcclog.Warn(\"error while loading node data\")\n 950→\t\treturn nil, err\n 951→\t}\n 952→\n 953→\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n 954→\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n 955→\n 956→\tcollectorTimestep := make(map[string]int)\n 957→\tcollectorUnit := make(map[string]schema.Unit)\n 958→\tcollectorData := make(map[string][]schema.Float)\n 959→\n 960→\tfor _, metrics := range data {\n 961→\t\tclusterMetrics.NodeCount += 1\n 962→\t\tfor metric, scopedMetrics := range metrics {\n 963→\t\t\tfor _, scopedMetric := range scopedMetrics {\n 964→\t\t\t\t// Collect Info Once\n 965→\t\t\t\t_, okTimestep := collectorTimestep[metric]\n 966→\t\t\t\tif !okTimestep {\n 967→\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n 968→\t\t\t\t}\n 969→\t\t\t\t_, okUnit := collectorUnit[metric]\n 970→\t\t\t\tif !okUnit {\n 971→\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n 972→\t\t\t\t}\n 973→\t\t\t\t// Collect Data\n 974→\t\t\t\tfor _, ser := range scopedMetric.Series {\n 975→\t\t\t\t\t_, okData := collectorData[metric]\n 976→\t\t\t\t\t// Init With Datasize > 0\n 977→\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n 978→\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n 979→\t\t\t\t\t} else if !okData {\n 980→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n 981→\t\t\t\t\t}\n 982→\t\t\t\t\t// Sum if init'd and matching size\n 983→\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n 984→\t\t\t\t\t\tfor i, val := range ser.Data {\n 985→\t\t\t\t\t\t\tif val.IsNaN() {\n 986→\t\t\t\t\t\t\t\tcontinue\n 987→\t\t\t\t\t\t\t} else {\n 988→\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n 989→\t\t\t\t\t\t\t}\n 990→\t\t\t\t\t\t}\n 991→\t\t\t\t\t} else if okData {\n 992→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n 993→\t\t\t\t\t}\n 994→\t\t\t\t}\n 995→\t\t\t}\n 996→\t\t}\n 997→\t}\n 998→\n 999→\tfor metricName, data := range collectorData {\n 1000→\t\t// use ccUnits for backend normalization to \"Tera\"\n 1001→\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n 1002→\t\tp_new := ccunit.NewPrefix(\"T\")\n 1003→\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n 1004→\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n 1005→\n 1006→\t\troundedData := make([]schema.Float, 0)\n 1007→\t\tfor _, v_old := range data {\n 1008→\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n 1009→\t\t\troundedData = append(roundedData, schema.Float(v_new))\n 1010→\t\t}\n 1011→\n 1012→\t\tcm := model.ClusterMetricWithName{\n 1013→\t\t\tName: metricName,\n 1014→\t\t\tUnit: &u_new,\n 1015→\t\t\tTimestep: collectorTimestep[metricName],\n 1016→\t\t\tData: roundedData,\n 1017→\t\t}\n 1018→\n 1019→\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n 1020→\t}\n 1021→\n 1022→\treturn &clusterMetrics, nil\n 1023→}\n 1024→\n 1025→// NumberOfNodes is the resolver for the numberOfNodes field.\n 1026→func (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n 1027→\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n 1028→\tif err != nil {\n 1029→\t\treturn 0, err\n 1030→\t}\n 1031→\treturn nodeList.NodeCount(), nil\n 1032→}\n 1033→\n 1034→// Cluster returns generated.ClusterResolver implementation.\n 1035→func (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n 1036→\n 1037→// Job returns generated.JobResolver implementation.\n 1038→func (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n 1039→\n 1040→// MetricValue returns generated.MetricValueResolver implementation.\n 1041→func (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n 1042→\n 1043→// Mutation returns generated.MutationResolver implementation.\n 1044→func (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n 1045→\n 1046→// Node returns generated.NodeResolver implementation.\n 1047→func (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n 1048→\n 1049→// Query returns generated.QueryResolver implementation.\n 1050→func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n 1051→\n 1052→// SubCluster returns generated.SubClusterResolver implementation.\n 1053→func (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n 1054→\n 1055→type (\n 1056→\tclusterResolver struct{ *Resolver }\n 1057→\tjobResolver struct{ *Resolver }\n 1058→\tmetricValueResolver struct{ *Resolver }\n 1059→\tmutationResolver struct{ *Resolver }\n 1060→\tnodeResolver struct{ *Resolver }\n 1061→\tqueryResolver struct{ *Resolver }\n 1062→\tsubClusterResolver struct{ *Resolver }\n 1063→)\n 1064→"}]},"uuid":"933214bf-62de-45d4-9b28-2162f768f0a7","timestamp":"2026-03-13T13:24:05.028Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype (\n\tclusterResolver struct{ *Resolver }\n\tjobResolver struct{ *Resolver }\n\tmetricValueResolver struct{ *Resolver }\n\tmutationResolver struct{ *Resolver }\n\tnodeResolver struct{ *Resolver }\n\tqueryResolver struct{ *Resolver }\n\tsubClusterResolver struct{ *Resolver }\n)\n","numLines":1064,"startLine":1,"totalLines":1064}},"sourceToolAssistantUUID":"d3e42f29-d9b9-4e5b-ab97-5f8241c416ec","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package main provides the entry point for the ClusterCockpit backend server.\n 7→// This file contains HTTP server setup, routing configuration, and\n 8→// authentication middleware integration.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"crypto/tls\"\n 14→\t\"encoding/json\"\n 15→\t\"errors\"\n 16→\t\"fmt\"\n 17→\t\"net\"\n 18→\t\"net/http\"\n 19→\t\"os\"\n 20→\t\"strings\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/99designs/gqlgen/graphql/handler\"\n 24→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n 25→\t\"github.com/99designs/gqlgen/graphql/playground\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 34→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/go-chi/chi/v5\"\n 39→\t\"github.com/go-chi/chi/v5/middleware\"\n 40→\t\"github.com/go-chi/cors\"\n 41→\thttpSwagger \"github.com/swaggo/http-swagger\"\n 42→)\n 43→\n 44→var buildInfo web.Build\n 45→\n 46→// Environment variable names\n 47→const (\n 48→\tenvDebug = \"DEBUG\"\n 49→)\n 50→\n 51→// Server encapsulates the HTTP server state and dependencies\n 52→type Server struct {\n 53→\trouter chi.Router\n 54→\tserver *http.Server\n 55→\trestAPIHandle *api.RestAPI\n 56→\tnatsAPIHandle *api.NatsAPI\n 57→}\n 58→\n 59→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n 60→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 61→\trw.WriteHeader(http.StatusUnauthorized)\n 62→\tjson.NewEncoder(rw).Encode(map[string]string{\n 63→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n 64→\t\t\"error\": err.Error(),\n 65→\t})\n 66→}\n 67→\n 68→// NewServer creates and initializes a new Server instance\n 69→func NewServer(version, commit, buildDate string) (*Server, error) {\n 70→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n 71→\n 72→\ts := &Server{\n 73→\t\trouter: chi.NewRouter(),\n 74→\t}\n 75→\n 76→\tif err := s.init(); err != nil {\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn s, nil\n 81→}\n 82→\n 83→func (s *Server) init() error {\n 84→\t// Setup the http.Handler/Router used by the server\n 85→\tgraph.Init()\n 86→\tresolver := graph.GetResolverInstance()\n 87→\tgraphQLServer := handler.New(\n 88→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n 89→\n 90→\tgraphQLServer.AddTransport(transport.POST{})\n 91→\n 92→\tif os.Getenv(envDebug) != \"1\" {\n 93→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n 94→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n 95→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n 96→\t\t\tswitch e := err.(type) {\n 97→\t\t\tcase string:\n 98→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n 99→\t\t\tcase error:\n 100→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n 101→\t\t\t}\n 102→\n 103→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n 104→\t\t})\n 105→\t}\n 106→\n 107→\tauthHandle := auth.GetAuthInstance()\n 108→\n 109→\t// Middleware must be defined before routes in chi\n 110→\ts.router.Use(func(next http.Handler) http.Handler {\n 111→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 112→\t\t\tstart := time.Now()\n 113→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n 114→\t\t\tnext.ServeHTTP(ww, r)\n 115→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n 116→\t\t\t\tr.Method, r.URL.RequestURI(),\n 117→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n 118→\t\t\t\ttime.Since(start).Milliseconds())\n 119→\t\t})\n 120→\t})\n 121→\ts.router.Use(middleware.Compress(5))\n 122→\ts.router.Use(middleware.Recoverer)\n 123→\ts.router.Use(cors.Handler(cors.Options{\n 124→\t\tAllowCredentials: true,\n 125→\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n 126→\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n 127→\t\tAllowedOrigins: []string{\"*\"},\n 128→\t}))\n 129→\n 130→\ts.restAPIHandle = api.New()\n 131→\n 132→\tinfo := map[string]any{}\n 133→\tinfo[\"hasOpenIDConnect\"] = false\n 134→\n 135→\tif auth.Keys.OpenIDConfig != nil {\n 136→\t\topenIDConnect := auth.NewOIDC(authHandle)\n 137→\t\topenIDConnect.RegisterEndpoints(s.router)\n 138→\t\tinfo[\"hasOpenIDConnect\"] = true\n 139→\t}\n 140→\n 141→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n 142→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 143→\t\tcclog.Debugf(\"##%v##\", info)\n 144→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n 145→\t})\n 146→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n 147→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 148→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n 149→\t})\n 150→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n 151→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 152→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n 153→\t})\n 154→\n 155→\tif !config.Keys.DisableAuthentication {\n 156→\t\t// Create login failure handler (used by both /login and /jwt-login)\n 157→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n 158→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 159→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 160→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 161→\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n 162→\t\t\t\tMsgType: \"alert-warning\",\n 163→\t\t\t\tMessage: err.Error(),\n 164→\t\t\t\tBuild: buildInfo,\n 165→\t\t\t\tInfos: info,\n 166→\t\t\t})\n 167→\t\t}\n 168→\n 169→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 170→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 171→\n 172→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n 173→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 174→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 175→\t\t\t\trw.WriteHeader(http.StatusOK)\n 176→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 177→\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n 178→\t\t\t\t\tMsgType: \"alert-info\",\n 179→\t\t\t\t\tMessage: \"Logout successful\",\n 180→\t\t\t\t\tBuild: buildInfo,\n 181→\t\t\t\t\tInfos: info,\n 182→\t\t\t\t})\n 183→\t\t\t})).ServeHTTP)\n 184→\t}\n 185→\n 186→\tif flagDev {\n 187→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n 188→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n 189→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n 190→\t}\n 191→\n 192→\t// Secured routes (require authentication)\n 193→\ts.router.Group(func(secured chi.Router) {\n 194→\t\tif !config.Keys.DisableAuthentication {\n 195→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n 196→\t\t\t\treturn authHandle.Auth(\n 197→\t\t\t\t\tnext,\n 198→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n 199→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 200→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 201→\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n 202→\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n 203→\t\t\t\t\t\t\tMessage: err.Error(),\n 204→\t\t\t\t\t\t\tBuild: buildInfo,\n 205→\t\t\t\t\t\t\tInfos: info,\n 206→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n 207→\t\t\t\t\t\t})\n 208→\t\t\t\t\t})\n 209→\t\t\t})\n 210→\t\t}\n 211→\n 212→\t\tsecured.Handle(\"/query\", graphQLServer)\n 213→\n 214→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n 215→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n 216→\t\t})\n 217→\n 218→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n 219→\t})\n 220→\n 221→\t// API routes (JWT token auth)\n 222→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n 223→\t\t// Main API routes with API auth\n 224→\t\tapiRouter.Group(func(securedapi chi.Router) {\n 225→\t\t\tif !config.Keys.DisableAuthentication {\n 226→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n 227→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n 228→\t\t\t\t})\n 229→\t\t\t}\n 230→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n 231→\t\t})\n 232→\n 233→\t\t// Metric store API routes with separate auth\n 234→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n 235→\t\t\tif !config.Keys.DisableAuthentication {\n 236→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n 237→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n 238→\t\t\t\t})\n 239→\t\t\t}\n 240→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n 241→\t\t})\n 242→\t})\n 243→\n 244→\t// User API routes\n 245→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n 246→\t\tif !config.Keys.DisableAuthentication {\n 247→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n 248→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n 249→\t\t\t})\n 250→\t\t}\n 251→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n 252→\t})\n 253→\n 254→\t// Config API routes (uses Group with full paths to avoid shadowing\n 255→\t// the /config page route that is registered in the secured group)\n 256→\ts.router.Group(func(configapi chi.Router) {\n 257→\t\tif !config.Keys.DisableAuthentication {\n 258→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n 259→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n 260→\t\t\t})\n 261→\t\t}\n 262→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n 263→\t})\n 264→\n 265→\t// Frontend API routes\n 266→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n 267→\t\tif !config.Keys.DisableAuthentication {\n 268→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n 269→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n 270→\t\t\t})\n 271→\t\t}\n 272→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n 273→\t})\n 274→\n 275→\tif config.Keys.APISubjects != nil {\n 276→\t\ts.natsAPIHandle = api.NewNatsAPI()\n 277→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n 278→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n 279→\t\t}\n 280→\t}\n 281→\n 282→\t// 404 handler for pages and API routes\n 283→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n 284→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n 285→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n 286→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n 287→\t\t\trw.WriteHeader(http.StatusNotFound)\n 288→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n 289→\t\t\t\t\"status\": \"Resource not found\",\n 290→\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n 291→\t\t\t})\n 292→\t\t\treturn\n 293→\t\t}\n 294→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n 295→\t\trw.WriteHeader(http.StatusNotFound)\n 296→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n 297→\t\t\tTitle: \"Page Not Found\",\n 298→\t\t\tBuild: buildInfo,\n 299→\t\t})\n 300→\t}\n 301→\n 302→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n 303→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n 304→\ts.router.NotFound(notFoundHandler)\n 305→\n 306→\tif config.Keys.EmbedStaticFiles {\n 307→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n 308→\t\t\tif i.IsDir() {\n 309→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n 310→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n 311→\t\t\t}\n 312→\t\t}\n 313→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n 314→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 315→\t\t\tif web.StaticFileExists(r.URL.Path) {\n 316→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 317→\t\t\t\treturn\n 318→\t\t\t}\n 319→\t\t\tnotFoundHandler(rw, r)\n 320→\t\t}))\n 321→\t} else {\n 322→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n 323→\t\tfileServer := http.FileServer(staticDir)\n 324→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 325→\t\t\tf, err := staticDir.Open(r.URL.Path)\n 326→\t\t\tif err == nil {\n 327→\t\t\t\tf.Close()\n 328→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 329→\t\t\t\treturn\n 330→\t\t\t}\n 331→\t\t\tnotFoundHandler(rw, r)\n 332→\t\t}))\n 333→\t}\n 334→\n 335→\treturn nil\n 336→}\n 337→\n 338→// Server timeout defaults (in seconds)\n 339→const (\n 340→\tdefaultReadTimeout = 20\n 341→\tdefaultWriteTimeout = 20\n 342→)\n 343→\n 344→func (s *Server) Start(ctx context.Context) error {\n 345→\t// Use configurable timeouts with defaults\n 346→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n 347→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n 348→\n 349→\ts.server = &http.Server{\n 350→\t\tReadTimeout: readTimeout,\n 351→\t\tWriteTimeout: writeTimeout,\n 352→\t\tHandler: s.router,\n 353→\t\tAddr: config.Keys.Addr,\n 354→\t}\n 355→\n 356→\t// Start http or https server\n 357→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n 358→\tif err != nil {\n 359→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n 360→\t}\n 361→\n 362→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n 363→\t\tgo func() {\n 364→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n 365→\t\t}()\n 366→\t}\n 367→\n 368→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n 369→\t\tcert, err := tls.LoadX509KeyPair(\n 370→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n 371→\t\tif err != nil {\n 372→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n 373→\t\t}\n 374→\t\tlistener = tls.NewListener(listener, &tls.Config{\n 375→\t\t\tCertificates: []tls.Certificate{cert},\n 376→\t\t\tCipherSuites: []uint16{\n 377→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n 378→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n 379→\t\t\t},\n 380→\t\t\tMinVersion: tls.VersionTLS12,\n 381→\t\t\tPreferServerCipherSuites: true,\n 382→\t\t})\n 383→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n 384→\t} else {\n 385→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n 386→\t}\n 387→\t//\n 388→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n 389→\t// be established first, then the user can be changed, and after that,\n 390→\t// the actual http server can be started.\n 391→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n 392→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n 393→\t}\n 394→\n 395→\t// Handle context cancellation for graceful shutdown\n 396→\tgo func() {\n 397→\t\t<-ctx.Done()\n 398→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n 399→\t\tdefer cancel()\n 400→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 401→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 402→\t\t}\n 403→\t}()\n 404→\n 405→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n 406→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n 407→\t}\n 408→\treturn nil\n 409→}\n 410→\n 411→func (s *Server) Shutdown(ctx context.Context) {\n 412→\t// Create a shutdown context with timeout\n 413→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n 414→\tdefer cancel()\n 415→\n 416→\tnc := nats.GetClient()\n 417→\tif nc != nil {\n 418→\t\tnc.Close()\n 419→\t}\n 420→\n 421→\t// First shut down the server gracefully (waiting for all ongoing requests)\n 422→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 423→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 424→\t}\n 425→\n 426→\t// Archive all the metric store data\n 427→\tms := metricstore.GetMemoryStore()\n 428→\n 429→\tif ms != nil {\n 430→\t\tmetricstore.Shutdown()\n 431→\t}\n 432→\n 433→\t// Shutdown archiver with 10 second timeout for fast shutdown\n 434→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 435→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n 436→\t}\n 437→}\n 438→"}]},"uuid":"00363808-b3e5-478d-91c4-0f1a2749621e","timestamp":"2026-03-13T13:24:11.088Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","numLines":438,"startLine":1,"totalLines":438}},"sourceToolAssistantUUID":"66dad0f2-fc58-44e5-977a-5d74ad681ef4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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210→ {/each}\n 211→ \n 212→ \n 213→ \n 214→ \n 215→ {\n 218→ pagingState = { page: 1, itemsPerPage: 10 };\n 219→ selectedHistograms = [...$state.snapshot(selectedHistograms)];\n 220→ }}\n 221→ />\n 222→ \n 223→\n 224→\n 225→
\n 226→\n 227→\n 228→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 229→ \n 230→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 231→ \n 232→ \n 233→ {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n 234→ \n 248→ {/key}\n 249→ \n 250→ \n 251→
\n 252→

Top Users: Jobs

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\n 266→ \n 267→ \n 268→ \n 269→ \n 270→ \n 271→ \n 272→ \n 273→ \n 274→ {#each $topStatsQuery.data.topUserJobs as tu, i}\n 275→ \n 276→ \n 279→ \n 288→ {#if tu?.name}\n 289→ {scrambleNames ? scramble(tu.name) : tu.name}\n 294→ {/if}\n 295→ \n 296→ \n 297→ {/each}\n 298→
UserJobs
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\n 299→ \n 300→\n 301→ \n 302→

Top Projects: Jobs

\n 303→ tp[\"totalJobs\"],\n 310→ )}\n 311→ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n 312→ scrambleNames ? scramble(tp.id) : tp.id,\n 313→ )}\n 314→ />\n 315→ \n 316→ \n 317→ \n 318→ \n 319→ \n 320→ \n 321→ \n 322→ \n 323→ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n 324→ \n 325→ \n 328→ \n 337→ \n 338→ \n 339→ {/each}\n 340→
ProjectJobs
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\n 341→ \n 342→ \n 343→{:else}\n 344→ Cannot render job status charts: No data!\n 347→{/if}\n 348→\n 349→
\n 350→\n 351→\n 352→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 353→ \n 354→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 355→ \n 356→ \n 357→ \n 369→ \n 370→ \n 371→
\n 372→

Top Users: Nodes

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UserNodes
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Top Projects: Nodes

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ProjectNodes
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\n 492→

Top Users: GPUs

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UserGPUs
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Top Projects: GPUs

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ProjectGPUs
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Top Users: Jobs

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Top Projects: Jobs

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ProjectJobs
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\n

Top Users: Nodes

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\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
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Top Projects: Nodes

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ProjectNodes
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\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

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UserGPUs
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\n \n\n \n

Top Projects: GPUs

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ProjectGPUs
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columns\n 3→-- These indexes allow the status views to be served entirely from index scans.\n 4→\n 5→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n 6→ ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 7→\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n 9→ ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 10→\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n 12→ ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 13→\n 14→-- Drop 3-col indexes that are now subsumed by the covering indexes above\n 15→DROP INDEX IF EXISTS jobs_cluster_jobstate_user;\n 16→DROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n 17→\n 18→PRAGMA optimize;\n 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"math\"\n 12→\t\"slices\"\n 13→\n 14→\t\"github.com/99designs/gqlgen/graphql\"\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 19→)\n 20→\n 21→const MAX_JOBS_FOR_ANALYSIS = 500\n 22→\n 23→// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\n 24→func (r *queryResolver) rooflineHeatmap(\n 25→\tctx context.Context,\n 26→\tfilter []*model.JobFilter,\n 27→\trows int, cols int,\n 28→\tminX float64, minY float64, maxX float64, maxY float64,\n 29→) ([][]float64, error) {\n 30→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 31→\tif err != nil {\n 32→\t\tcclog.Error(\"Error while querying jobs for roofline\")\n 33→\t\treturn nil, err\n 34→\t}\n 35→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 36→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 37→\t}\n 38→\n 39→\tfcols, frows := float64(cols), float64(rows)\n 40→\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n 41→\ttiles := make([][]float64, rows)\n 42→\tfor i := range tiles {\n 43→\t\ttiles[i] = make([]float64, cols)\n 44→\t}\n 45→\n 46→\tfor _, job := range jobs {\n 47→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 48→\t\t\tcontinue\n 49→\t\t}\n 50→\n 51→\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 52→\t\t// resolution := 0\n 53→\n 54→\t\t// for _, mc := range metricConfigs {\n 55→\t\t// \tresolution = max(resolution, mc.Timestep)\n 56→\t\t// }\n 57→\n 58→\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n 59→\t\tif err != nil {\n 60→\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n 61→\t\t\treturn nil, err\n 62→\t\t}\n 63→\n 64→\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n 65→\t\tif flops_ == nil && membw_ == nil {\n 66→\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n 67→\t\t\tcontinue\n 68→\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n 69→\t\t}\n 70→\n 71→\t\tflops, ok1 := flops_[\"node\"]\n 72→\t\tmembw, ok2 := membw_[\"node\"]\n 73→\t\tif !ok1 || !ok2 {\n 74→\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 75→\t\t\tcontinue\n 76→\t\t\t// TODO/FIXME:\n 77→\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 78→\t\t}\n 79→\n 80→\t\tfor n := 0; n < len(flops.Series); n++ {\n 81→\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n 82→\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n 83→\t\t\t\tif i >= len(membwSeries.Data) {\n 84→\t\t\t\t\tbreak\n 85→\t\t\t\t}\n 86→\n 87→\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n 88→\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n 89→\t\t\t\t\tcontinue\n 90→\t\t\t\t}\n 91→\n 92→\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n 93→\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n 94→\t\t\t\t\tcontinue\n 95→\t\t\t\t}\n 96→\n 97→\t\t\t\ttiles[int(y)][int(x)] += 1\n 98→\t\t\t}\n 99→\t\t}\n 100→\t}\n 101→\n 102→\treturn tiles, nil\n 103→}\n 104→\n 105→// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\n 106→func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 107→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 108→\tif err != nil {\n 109→\t\tcclog.Error(\"Error while querying jobs for footprint\")\n 110→\t\treturn nil, err\n 111→\t}\n 112→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 113→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 114→\t}\n 115→\n 116→\tavgs := make([][]schema.Float, len(metrics))\n 117→\tfor i := range avgs {\n 118→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 119→\t}\n 120→\n 121→\ttimeweights := new(model.TimeWeights)\n 122→\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n 123→\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n 124→\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n 125→\n 126→\tfor _, job := range jobs {\n 127→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 128→\t\t\tcontinue\n 129→\t\t}\n 130→\n 131→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 132→\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n 133→\t\t\treturn nil, err\n 134→\t\t}\n 135→\n 136→\t\t// #166 collect arrays: Null values or no null values?\n 137→\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n 138→\t\tif job.NumAcc > 0 {\n 139→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n 140→\t\t} else {\n 141→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n 142→\t\t}\n 143→\t\tif job.NumHWThreads > 0 {\n 144→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n 145→\t\t} else {\n 146→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n 147→\t\t}\n 148→\t}\n 149→\n 150→\tres := make([]*model.MetricFootprints, len(avgs))\n 151→\tfor i, arr := range avgs {\n 152→\t\tres[i] = &model.MetricFootprints{\n 153→\t\t\tMetric: metrics[i],\n 154→\t\t\tData: arr,\n 155→\t\t}\n 156→\t}\n 157→\n 158→\treturn &model.Footprints{\n 159→\t\tTimeWeights: timeweights,\n 160→\t\tMetrics: res,\n 161→\t}, nil\n 162→}\n 163→\n 164→// func numCoresForJob(job *schema.Job) (numCores int) {\n 165→\n 166→// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n 167→// \tif scerr != nil {\n 168→// \t\treturn 1\n 169→// \t}\n 170→\n 171→// \ttotalJobCores := 0\n 172→// \ttopology := subcluster.Topology\n 173→\n 174→// \tfor _, host := range job.Resources {\n 175→// \t\thwthreads := host.HWThreads\n 176→// \t\tif hwthreads == nil {\n 177→// \t\t\thwthreads = topology.Node\n 178→// \t\t}\n 179→\n 180→// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n 181→// \t\ttotalJobCores += len(hostCores)\n 182→// \t}\n 183→\n 184→// \treturn totalJobCores\n 185→// }\n 186→\n 187→func requireField(ctx context.Context, name string) bool {\n 188→\tfields := graphql.CollectAllFields(ctx)\n 189→\n 190→\treturn slices.Contains(fields, name)\n 191→}\n 192→"}]},"uuid":"db646daa-34ea-4154-8717-ff7edd8d6297","timestamp":"2026-03-13T13:24:25.772Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/util.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"slices\"\n\n\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst MAX_JOBS_FOR_ANALYSIS = 500\n\n// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) rooflineHeatmap(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\trows int, cols int,\n\tminX float64, minY float64, maxX float64, maxY float64,\n) ([][]float64, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for roofline\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tfcols, frows := float64(cols), float64(rows)\n\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n\ttiles := make([][]float64, rows)\n\tfor i := range tiles {\n\t\ttiles[i] = make([]float64, cols)\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\t\t// resolution := 0\n\n\t\t// for _, mc := range metricConfigs {\n\t\t// \tresolution = max(resolution, mc.Timestep)\n\t\t// }\n\n\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n\t\tif flops_ == nil && membw_ == nil {\n\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n\t\t\tcontinue\n\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n\t\t}\n\n\t\tflops, ok1 := flops_[\"node\"]\n\t\tmembw, ok2 := membw_[\"node\"]\n\t\tif !ok1 || !ok2 {\n\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t\tcontinue\n\t\t\t// TODO/FIXME:\n\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t}\n\n\t\tfor n := 0; n < len(flops.Series); n++ {\n\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n\t\t\t\tif i >= len(membwSeries.Data) {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\ttiles[int(y)][int(x)] += 1\n\t\t\t}\n\t\t}\n\t}\n\n\treturn tiles, nil\n}\n\n// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for footprint\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\ttimeweights := new(model.TimeWeights)\n\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// #166 collect arrays: Null values or no null values?\n\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n\t\tif job.NumAcc > 0 {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n\t\t} else {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n\t\t}\n\t\tif job.NumHWThreads > 0 {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n\t\t} else {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n\t\t}\n\t}\n\n\tres := make([]*model.MetricFootprints, len(avgs))\n\tfor i, arr := range avgs {\n\t\tres[i] = &model.MetricFootprints{\n\t\t\tMetric: metrics[i],\n\t\t\tData: arr,\n\t\t}\n\t}\n\n\treturn &model.Footprints{\n\t\tTimeWeights: timeweights,\n\t\tMetrics: res,\n\t}, nil\n}\n\n// func numCoresForJob(job *schema.Job) (numCores int) {\n\n// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n// \tif scerr != nil {\n// \t\treturn 1\n// \t}\n\n// \ttotalJobCores := 0\n// \ttopology := subcluster.Topology\n\n// \tfor _, host := range job.Resources {\n// \t\thwthreads := host.HWThreads\n// \t\tif hwthreads == nil {\n// \t\t\thwthreads = topology.Node\n// \t\t}\n\n// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n// \t\ttotalJobCores += len(hostCores)\n// \t}\n\n// \treturn totalJobCores\n// }\n\nfunc requireField(ctx context.Context, name string) bool {\n\tfields := graphql.CollectAllFields(ctx)\n\n\treturn slices.Contains(fields, name)\n}\n","numLines":192,"startLine":1,"totalLines":192}},"sourceToolAssistantUUID":"bb4cee48-160d-4e3d-957c-91f58a93a5ef","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"db646daa-34ea-4154-8717-ff7edd8d6297","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QDpSNXthH6vjKCRzDgErj9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":420,"cache_read_input_tokens":74934,"output_tokens":150,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":420},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19pqstPvnu6qgBfPxQn","type":"assistant","uuid":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","timestamp":"2026-03-13T13:24:26.834Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","toolUseID":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","timestamp":"2026-03-13T13:24:26.843Z","uuid":"54e8e6cf-0a05-4e19-882e-23c3925f06e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPgCsQYNmxoNgLe8xGb5Ps","type":"tool_result","content":" 1→-- Reverse migration 13: Remove covering status indexes, restore 3-col indexes\n 2→\n 3→DROP INDEX IF EXISTS jobs_cluster_jobstate_user_stats;\n 4→DROP INDEX IF EXISTS jobs_cluster_jobstate_project_stats;\n 5→DROP INDEX IF EXISTS jobs_cluster_jobstate_subcluster_stats;\n 6→\n 7→-- Restore the original 3-col indexes\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user\n 9→ ON job (cluster, job_state, hpc_user);\n 10→\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project\n 12→ ON job (cluster, job_state, project);\n 13→"}]},"uuid":"8c63ac53-7436-4918-9440-ff1f29fd03ca","timestamp":"2026-03-13T13:24:26.843Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql","content":"-- Reverse migration 13: Remove covering status indexes, restore 3-col indexes\n\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user_stats;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project_stats;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_subcluster_stats;\n\n-- Restore the original 3-col indexes\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user\n ON job (cluster, job_state, hpc_user);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project\n ON job (cluster, job_state, project);\n","numLines":13,"startLine":1,"totalLines":13}},"sourceToolAssistantUUID":"daaf21a6-5ad0-48cc-ba9a-7a6fbe27d9e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8c63ac53-7436-4918-9440-ff1f29fd03ca","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Wbwe2fcD5CLLr1PabXJs9o","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have all the context. Let me implement all 4 changes. I'll work on them in parallel where possible.\n\n**Change 1: Migration files + version bump + inline literal state value**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3435,"cache_read_input_tokens":75354,"cache_creation":{"ephemeral_5m_input_tokens":3435,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19q87hcEUMnUZKb5HYa","type":"assistant","uuid":"92561e1e-f513-4ee3-a35c-5f31b11fe754","timestamp":"2026-03-13T13:24:32.104Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"92561e1e-f513-4ee3-a35c-5f31b11fe754","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Wbwe2fcD5CLLr1PabXJs9o","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VdN8yEKfzDLi1uWrgcFndg","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql","content":"-- Migration 14: Partial covering indexes for running jobs\n-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n-- the full-table indexes from migration 13. SQLite uses them when the query\n-- contains the literal `job_state = 'running'` (not a parameter placeholder).\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA optimize;\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3435,"cache_read_input_tokens":75354,"cache_creation":{"ephemeral_5m_input_tokens":3435,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19q87hcEUMnUZKb5HYa","type":"assistant","uuid":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","timestamp":"2026-03-13T13:24:36.202Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01VdN8yEKfzDLi1uWrgcFndg","toolUseID":"toolu_01VdN8yEKfzDLi1uWrgcFndg","timestamp":"2026-03-13T13:24:36.211Z","uuid":"95f5caf0-f3c0-4e9d-b2fa-5f5e31554fb3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VdN8yEKfzDLi1uWrgcFndg","type":"tool_result","content":"File created successfully at: /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql"}]},"uuid":"6b556178-372e-467f-88a9-988b0b171353","timestamp":"2026-03-13T13:24:36.211Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql","content":"-- Migration 14: Partial covering indexes for running jobs\n-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n-- the full-table indexes from migration 13. SQLite uses them when the query\n-- contains the literal `job_state = 'running'` (not a parameter placeholder).\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA optimize;\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"4e40d80a-73f6-42f9-b603-fc66d2e255ae","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"8db79658-fbad-4246-ac37-3f76c1f35785","timestamp":"2026-03-13T13:24:44.810Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","oldString":"// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13","newString":"// Version history:\n// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 14","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","structuredPatch":[{"oldStart":21,"oldLines":13,"newStart":21,"newLines":14,"lines":[" // is added to internal/repository/migrations/sqlite3/."," //"," // Version history:","+// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)"," // - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)"," // - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)"," // - Version 11: Optimize job table indexes (reduce from ~78 to 48)"," // - Version 10: Node table"," //"," // Migration files are embedded at build time from the migrations directory.","-const Version uint = 13","+const Version uint = 14"," "," //go:embed migrations/*"," var migrationFiles embed.FS"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ff233541-cb1b-437d-b5a1-5c4735dc3e48","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8db79658-fbad-4246-ac37-3f76c1f35785","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WEj69zhEqjxedFRgfHz39g","type":"message","role":"assistant","content":[{"type":"text","text":"Now inline the literal state value in `BuildWhereClause` for single-state filters:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"cache_creation":{"ephemeral_5m_input_tokens":535,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"e36bd6c7-6a8a-49d1-95ec-a8ff8995502e","timestamp":"2026-03-13T13:24:47.701Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"baf6c3cd-6efa-4688-b896-009e95b689ce","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"e36bd6c7-6a8a-49d1-95ec-a8ff8995502e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WEj69zhEqjxedFRgfHz39g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Mff9BC491Wna1x7Xmo5CPR","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","old_string":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {","new_string":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n\t\t} else {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"output_tokens":310,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":535},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","timestamp":"2026-03-13T13:24:51.160Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Mff9BC491Wna1x7Xmo5CPR","toolUseID":"toolu_01Mff9BC491Wna1x7Xmo5CPR","timestamp":"2026-03-13T13:24:51.181Z","uuid":"aaf70037-b52c-4e04-8720-23c5116cdcb7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Mff9BC491Wna1x7Xmo5CPR","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go has been updated successfully."}]},"uuid":"a67b6524-44f4-4584-a05d-caa94055263a","timestamp":"2026-03-13T13:24:51.181Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","oldString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {","newString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n\t\t} else {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {\n\t\t\tstates := make([]string, len(filter.State))\n\t\t\tfor i, val := range filter.State {\n\t\t\t\tstates[i] = string(val)\n\t\t\t}\n\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t\t}\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":198,"oldLines":8,"newStart":198,"newLines":10,"lines":[" }"," if filter.State != nil {"," if len(filter.State) == 1 {","+ // Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').","+ // Safe: values come from validated GraphQL enum (model.JobState)."," singleStat := string(filter.State[0])","- query = query.Where(\"job.job_state = ?\", singleStat)","+ query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))"," } else {"," states := make([]string, len(filter.State))"," for i, val := range filter.State {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"baf6c3cd-6efa-4688-b896-009e95b689ce","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a67b6524-44f4-4584-a05d-caa94055263a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CvDFCtvYPhBkgsFKujEt5y","type":"message","role":"assistant","content":[{"type":"text","text":"**Change 2: Request-scoped stats cache**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"cache_creation":{"ephemeral_5m_input_tokens":373,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","timestamp":"2026-03-13T13:24:53.881Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CvDFCtvYPhBkgsFKujEt5y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"output_tokens":791,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":373},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","timestamp":"2026-03-13T13:25:03.438Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","toolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","timestamp":"2026-03-13T13:25:03.453Z","uuid":"35832531-83f3-4f3f-b96d-59c2bd91a447","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","type":"tool_result","content":"File created successfully at: /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"}]},"uuid":"a042ca02-488c-424e-88b6-069c298261e5","timestamp":"2026-03-13T13:25:03.453Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a042ca02-488c-424e-88b6-069c298261e5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012GEWpKRU5Mx73pN747mUiF","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the AroundOperations middleware in server.go:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":835,"cache_read_input_tokens":80382,"cache_creation":{"ephemeral_5m_input_tokens":835,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19spbaYEQzgCGokHNGn","type":"assistant","uuid":"a38a34f7-b90a-4457-997a-d4f7a5167e08","timestamp":"2026-03-13T13:25:06.451Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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next(graph.WithStatsGroupCache(ctx))\n\t})"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":835,"cache_read_input_tokens":80382,"output_tokens":260,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":835},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19spbaYEQzgCGokHNGn","type":"assistant","uuid":"2ce24c06-01d6-4a1d-b5cd-ab18359a28d4","timestamp":"2026-03-13T13:25:09.370Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"fbc68978-0297-4973-88de-579028c2ffd2","timestamp":"2026-03-13T13:25:09.395Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\tgraphQLServer.AddTransport(transport.POST{})","newString":"\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":89,"oldLines":6,"newStart":89,"newLines":12,"lines":[" "," graphQLServer.AddTransport(transport.POST{})"," ","+ // Inject a per-request stats cache so that grouped statistics queries","+ // sharing the same (filter, groupBy) pair are executed only once.","+ graphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {","+ return next(graph.WithStatsGroupCache(ctx))","+ })","+"," if os.Getenv(envDebug) != \"1\" {"," // Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed."," // The problem with this is that then, no more stacktrace is printed to stderr."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2ce24c06-01d6-4a1d-b5cd-ab18359a28d4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"fbc68978-0297-4973-88de-579028c2ffd2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"text","text":"I need to add the `graphql` import and export the `WithStatsGroupCache` function. Let me fix the export name first:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","timestamp":"2026-03-13T13:25:12.976Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","new_string":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"output_tokens":229,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":564},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","timestamp":"2026-03-13T13:25:14.266Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","toolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","timestamp":"2026-03-13T13:25:14.291Z","uuid":"5d48dcd7-ac33-4c65-897d-bbd7bee95abd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated. All occurrences of '// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {' were successfully replaced with '// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {'."}]},"uuid":"7614be57-18de-43d4-8812-f22a8e194b90","timestamp":"2026-03-13T13:25:14.291Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","newString":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":39,"oldLines":8,"newStart":39,"newLines":8,"lines":[" }"," }"," ","-// withStatsGroupCache injects a new cache into the context.","-func withStatsGroupCache(ctx context.Context) context.Context {","+// WithStatsGroupCache injects a new cache into the context.","+func WithStatsGroupCache(ctx context.Context) context.Context {"," return context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())"," }"," "]}],"userModified":false,"replaceAll":true},"sourceToolAssistantUUID":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7614be57-18de-43d4-8812-f22a8e194b90","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the `graphql` import in server.go:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"cache_creation":{"ephemeral_5m_input_tokens":350,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","timestamp":"2026-03-13T13:25:30.522Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PzrJcsrW34E3y19BM8FzMD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","old_string":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","new_string":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"output_tokens":281,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":350},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"a6793013-5aa1-4d87-a824-43b6009afa64","timestamp":"2026-03-13T13:25:32.363Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a6793013-5aa1-4d87-a824-43b6009afa64","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01PzrJcsrW34E3y19BM8FzMD","toolUseID":"toolu_01PzrJcsrW34E3y19BM8FzMD","timestamp":"2026-03-13T13:25:32.387Z","uuid":"54a7e373-160a-4ddc-9921-14e27f812a2c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a6793013-5aa1-4d87-a824-43b6009afa64","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PzrJcsrW34E3y19BM8FzMD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go has been updated successfully."}]},"uuid":"6d6d3ad3-8652-4f69-9bc0-dd5b55b31967","timestamp":"2026-03-13T13:25:32.387Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","newString":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":20,"oldLines":6,"newStart":20,"newLines":7,"lines":[" \"strings\""," \"time\""," ","+ \"github.com/99designs/gqlgen/graphql\""," 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continued):"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"cache_creation":{"ephemeral_5m_input_tokens":437,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"49f112dc-32cc-47cb-af63-4592d0b45fff","timestamp":"2026-03-13T13:25:35.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"output_tokens":576,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":437},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"eac31e9f-039b-463c-bc87-91c1da020980","timestamp":"2026-03-13T13:25:41.577Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"868f10fc-48dc-488e-9133-b1d838599dee","timestamp":"2026-03-13T13:25:41.604Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","newString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype (\n\tclusterResolver struct{ *Resolver }\n\tjobResolver struct{ *Resolver }\n\tmetricValueResolver struct{ *Resolver }\n\tmutationResolver struct{ *Resolver }\n\tnodeResolver struct{ *Resolver }\n\tqueryResolver struct{ *Resolver }\n\tsubClusterResolver struct{ *Resolver }\n)\n","structuredPatch":[{"oldStart":673,"oldLines":7,"newStart":673,"newLines":20,"lines":[" stats, err = r.Repo.JobsStats(ctx, filter, reqFields)"," } else {"," startGrouped := time.Now()","- stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ // Use request-scoped cache: multiple aliases with same (filter, groupBy)","+ // but different sortBy/page hit the DB only once.","+ if cache := getStatsGroupCache(ctx); cache != nil {","+ key := statsCacheKey(filter, groupBy)","+ var allStats []*model.JobsStatistics","+ allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {","+ return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)","+ })","+ if err == nil {","+ stats = sortAndPageStats(allStats, sortBy, page)","+ }","+ } else {","+ stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ }"," cclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))"," }"," } else {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"eac31e9f-039b-463c-bc87-91c1da020980","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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Let me add it to `stats_cache.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"cache_creation":{"ephemeral_5m_input_tokens":622,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","timestamp":"2026-03-13T13:25:44.663Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WD557D88SP67vegFoJ5jCV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":622},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","timestamp":"2026-03-13T13:25:44.761Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","toolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","timestamp":"2026-03-13T13:25:44.779Z","uuid":"6e102bc2-3188-4ad4-a6af-1a0a4ffd0e72","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"sync\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 14→)\n 15→\n 16→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n 17→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n 18→// frontend requests multiple sort/page slices of the same underlying data\n 19→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n 20→type statsGroupCache struct {\n 21→\tmu sync.Mutex\n 22→\tentries map[string]*cacheEntry\n 23→}\n 24→\n 25→type cacheEntry struct {\n 26→\tonce sync.Once\n 27→\tresult []*model.JobsStatistics\n 28→\terr error\n 29→}\n 30→\n 31→type ctxKey int\n 32→\n 33→const statsGroupCacheKey ctxKey = iota\n 34→\n 35→// newStatsGroupCache creates a new empty cache.\n 36→func newStatsGroupCache() *statsGroupCache {\n 37→\treturn &statsGroupCache{\n 38→\t\tentries: make(map[string]*cacheEntry),\n 39→\t}\n 40→}\n 41→\n 42→// WithStatsGroupCache injects a new cache into the context.\n 43→func WithStatsGroupCache(ctx context.Context) context.Context {\n 44→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n 45→}\n 46→\n 47→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n 48→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n 49→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n 50→\t\treturn c\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// cacheKey builds a deterministic string key from filter + groupBy.\n 56→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n 57→\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n 58→}\n 59→\n 60→// getOrCompute returns cached results for the given key, computing them on\n 61→// first access via the provided function.\n 62→func (c *statsGroupCache) getOrCompute(\n 63→\tkey string,\n 64→\tcompute func() ([]*model.JobsStatistics, error),\n 65→) ([]*model.JobsStatistics, error) {\n 66→\tc.mu.Lock()\n 67→\tentry, ok := c.entries[key]\n 68→\tif !ok {\n 69→\t\tentry = &cacheEntry{}\n 70→\t\tc.entries[key] = entry\n 71→\t}\n 72→\tc.mu.Unlock()\n 73→\n 74→\tentry.once.Do(func() {\n 75→\t\tentry.result, entry.err = compute()\n 76→\t})\n 77→\treturn entry.result, entry.err\n 78→}\n 79→"}]},"uuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","timestamp":"2026-03-13T13:25:44.779Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","numLines":79,"startLine":1,"totalLines":79}},"sourceToolAssistantUUID":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PnHsnU6gt2LhjfXhTEZjDR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","new_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1741,"cache_read_input_tokens":82568,"output_tokens":222,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1741},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vsJ8tk4gF7rPLFDyq","type":"assistant","uuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","timestamp":"2026-03-13T13:25:49.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","toolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","timestamp":"2026-03-13T13:25:49.256Z","uuid":"b6bc947a-7db4-4b1b-afd4-da33f15aa784","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","timestamp":"2026-03-13T13:25:49.256Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","newString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" import ("," \"context\""," \"fmt\"","+ \"slices\""," \"sync\""," "," \"github.com/ClusterCockpit/cc-backend/internal/graph/model\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QAa4fwohhpymL9HqVikZH5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"\treturn entry.result, entry.err\n}","new_string":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":267,"cache_read_input_tokens":84309,"output_tokens":918,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":267},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19wCRKxfGtevGTc85v1","type":"assistant","uuid":"edf51814-e2de-4d4f-9baa-2741808df2db","timestamp":"2026-03-13T13:26:01.047Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","toolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","timestamp":"2026-03-13T13:26:01.069Z","uuid":"d9abe7ec-fb44-449a-9f18-f86e4c55ff14","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"d11ac660-7a96-420c-8886-d5b6cc230188","timestamp":"2026-03-13T13:26:01.068Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"\treturn entry.result, entry.err\n}","newString":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":77,"oldLines":3,"newStart":77,"newLines":59,"lines":[" })"," return entry.result, entry.err"," }","+","+// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)","+// and returns the requested page slice.","+func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {","+ // Work on a shallow copy so the cached slice order is not mutated.","+ sorted := make([]*model.JobsStatistics, len(allStats))","+ copy(sorted, allStats)","+","+ if sortBy != nil {","+ getter := statsFieldGetter(*sortBy)","+ slices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {","+ return getter(b) - getter(a) // descending","+ })","+ }","+","+ if page != nil && page.ItemsPerPage != -1 {","+ start := (page.Page - 1) * page.ItemsPerPage","+ if start >= len(sorted) {","+ return nil","+ }","+ end := start + page.ItemsPerPage","+ if end > len(sorted) {","+ end = len(sorted)","+ }","+ sorted = sorted[start:end]","+ }","+","+ return sorted","+}","+","+// statsFieldGetter returns a function that extracts the sortable int field","+// from a JobsStatistics struct for the given sort key.","+func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {","+ switch sortBy {","+ case model.SortByAggregateTotaljobs:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ case model.SortByAggregateTotalusers:","+ return func(s *model.JobsStatistics) int { return s.TotalUsers }","+ case model.SortByAggregateTotalwalltime:","+ return func(s *model.JobsStatistics) int { return s.TotalWalltime }","+ case model.SortByAggregateTotalnodes:","+ return func(s *model.JobsStatistics) int { return s.TotalNodes }","+ case model.SortByAggregateTotalnodehours:","+ return func(s *model.JobsStatistics) int { return s.TotalNodeHours }","+ case model.SortByAggregateTotalcores:","+ return func(s *model.JobsStatistics) int { return s.TotalCores }","+ case model.SortByAggregateTotalcorehours:","+ return func(s *model.JobsStatistics) int { return s.TotalCoreHours }","+ case model.SortByAggregateTotalaccs:","+ return func(s *model.JobsStatistics) int { return s.TotalAccs }","+ case model.SortByAggregateTotalacchours:","+ return func(s *model.JobsStatistics) int { return s.TotalAccHours }","+ default:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ }","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"edf51814-e2de-4d4f-9baa-2741808df2db","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d11ac660-7a96-420c-8886-d5b6cc230188","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"text","text":"The `slices` import: I'm using `slices.SortFunc` so it should be used. Let me check the Go version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"cache_creation":{"ephemeral_5m_input_tokens":1033,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","timestamp":"2026-03-13T13:26:04.185Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","name":"Bash","input":{"command":"head -5 /Users/jan/prg/ClusterCockpit/cc-backend/go.mod","description":"Check Go version"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"output_tokens":127,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1033},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","timestamp":"2026-03-13T13:26:04.767Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","type":"tool_result","content":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","is_error":false}]},"uuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","timestamp":"2026-03-13T13:26:04.820Z","toolUseResult":{"stdout":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"text","text":"Go 1.25 should have `slices` in stdlib. The diagnostic might be stale. Let me verify the build compiles. But first let me do **Change 3: Parallelize histogram queries**."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","timestamp":"2026-03-13T13:26:08.786Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015ABCLJxD54VJdQ4434Xb1T","name":"Bash","input":{"command":"grep 'golang.org/x/sync' go.mod","description":"Check if x/sync is a dependency"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"output_tokens":155,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":229},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"753a9235-bde6-405f-b6f4-72e439b7159b","timestamp":"2026-03-13T13:26:09.488Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"753a9235-bde6-405f-b6f4-72e439b7159b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ABCLJxD54VJdQ4434Xb1T","type":"tool_result","content":"\tgolang.org/x/sync v0.19.0 // indirect","is_error":false}]},"uuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","timestamp":"2026-03-13T13:26:09.534Z","toolUseResult":{"stdout":"\tgolang.org/x/sync v0.19.0 // indirect","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"753a9235-bde6-405f-b6f4-72e439b7159b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SxgSrbZviAMYahS9ihhLra","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `errgroup` is available. Now parallelize the histogram queries in `AddHistograms`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":274,"cache_read_input_tokens":85838,"cache_creation":{"ephemeral_5m_input_tokens":274,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xhAVSmTVBLFWNDEDi","type":"assistant","uuid":"8002f7f9-74b5-44f4-ad05-82b438d15718","timestamp":"2026-03-13T13:26:12.772Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","timestamp":"2026-03-13T13:26:16.260Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"","newString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":55,"oldLines":6,"newStart":55,"newLines":7,"lines":[" cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""," \"github.com/ClusterCockpit/cc-lib/v2/schema\""," sq \"github.com/Masterminds/squirrel\"","+ \"golang.org/x/sync/errgroup\""," )"," "," // groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0e037919-ff3a-40ad-92a5-ae71452dc934","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"text","text":"Now replace the sequential histogram calls with parallel ones:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"cache_creation":{"ephemeral_5m_input_tokens":518,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"220a991e-e26f-4040-9ea2-9834aa852105","timestamp":"2026-03-13T13:26:19.141Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"220a991e-e26f-4040-9ea2-9834aa852105","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BBxZWSii8bhD1q6UKReDX2","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","new_string":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"output_tokens":1008,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":518},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","timestamp":"2026-03-13T13:26:35.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","toolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","timestamp":"2026-03-13T13:26:35.248Z","uuid":"8e20f7f2-24f9-4d71-b275-79561ea268d7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BBxZWSii8bhD1q6UKReDX2","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"61223990-72cc-412c-a85d-bb62dd9936f9","timestamp":"2026-03-13T13:26:35.248Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","newString":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":641,"oldLines":33,"newStart":641,"newLines":48,"lines":[" targetBinSize = 3600"," }"," ","- var err error","- // Return X-Values always as seconds, will be formatted into minutes and hours in frontend","+ // Run all 4 histogram queries in parallel — each writes a distinct struct field.","+ g, gctx := errgroup.WithContext(ctx)","+"," value := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)","- stat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: job duration\")","- return nil, err","- }"," ","- stat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","- return nil, err","- }","+ g.Go(func() error {","+ var err error","+ stat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: job duration\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num acc\")","+ }","+ return err","+ })"," ","- stat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ if err := g.Wait(); err != nil {"," return nil, err"," }"," ","- stat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num acc\")","- return nil, err","- }","-"," cclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))"," return stat, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6f3e3876-3c98-41b5-b64a-64c6d537e940","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"61223990-72cc-412c-a85d-bb62dd9936f9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"text","text":"The LSP says errgroup is unused but it should be used by the code I just added. Let me run `go mod tidy` and verify compilation:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"cache_creation":{"ephemeral_5m_input_tokens":1162,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","timestamp":"2026-03-13T13:26:39.269Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","name":"Bash","input":{"command":"go mod tidy 2>&1","description":"Tidy go modules"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"output_tokens":133,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1162},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","timestamp":"2026-03-13T13:26:39.718Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"48f1c453-5abc-404d-a54a-10c240c7de17","timestamp":"2026-03-13T13:26:39.975Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"48f1c453-5abc-404d-a54a-10c240c7de17","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"text","text":"**Change 4: Frontend consolidated query**\n\nNow update the UsageDash.svelte to use 2 aliases instead of 6:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"cache_creation":{"ephemeral_5m_input_tokens":132,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","timestamp":"2026-03-13T13:26:43.648Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","new_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"output_tokens":1197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":132},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","timestamp":"2026-03-13T13:26:55.968Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"a36a94c9-929c-424a-b35a-b5d956132a5b","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v1","version":1,"backupTime":"2026-03-13T13:25:09.393Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-13T13:25:41.602Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-13T13:26:16.258Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v1","version":1,"backupTime":"2026-03-13T13:26:55.999Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","toolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","timestamp":"2026-03-13T13:26:56.002Z","uuid":"6c61ab56-2675-4f57-8ed3-df99e5e9ebdb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated successfully."}]},"uuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","timestamp":"2026-03-13T13:26:56.002Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","newString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":71,"oldLines":75,"newStart":71,"newLines":68,"lines":[" ? queryStore({"," client: client,"," query: gql`","- query ($filter: [JobFilter!]!, $paging: PageRequest!) {","- topUserJobs: jobsStatistics(","+ query ($filter: [JobFilter!]!) {","+ allUsers: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: USER"," ) {"," id"," name"," totalJobs","+ totalNodes","+ totalAccs"," }","- topProjectJobs: jobsStatistics(","+ allProjects: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: PROJECT"," ) {"," id"," totalJobs","- }","- topUserNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: USER","- ) {","- id","- name"," totalNodes","- }","- topProjectNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: PROJECT","- ) {","- id","- totalNodes","- }","- topUserAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: USER","- ) {","- id","- name"," totalAccs"," }","- topProjectAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: PROJECT","- ) {","- id","- totalAccs","- }"," }"," `,"," variables: {"," filter: statusFilter,","- paging: pagingState, // Top 10"," },"," requestPolicy: \"network-only\","," })"," : null,"," );"," ","+ // Sort + slice top-10 from the full results in the frontend","+ const topUserJobs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectJobs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topUserNodes = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectNodes = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topUserAccs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectAccs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+"," // Note: nodeMetrics are requested on configured $timestep resolution"," const nodeStatusQuery = $derived("," loadMe"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a36a94c9-929c-424a-b35a-b5d956132a5b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"text","text":"Now update all template references from `$topStatsQuery.data.topUserJobs` to `topUserJobs`, etc.:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","timestamp":"2026-03-13T13:26:59.034Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TxQQJm7gJidvyrWhuADT82","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":"$topStatsQuery.data.topUserJobs","new_string":"topUserJobs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","timestamp":"2026-03-13T13:27:00.055Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","toolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","timestamp":"2026-03-13T13:27:00.076Z","uuid":"4f47b0b4-6795-4f14-9c3c-e589f9243cb5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TxQQJm7gJidvyrWhuADT82","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated. All occurrences of '$topStatsQuery.data.topUserJobs' were successfully replaced with 'topUserJobs'."}]},"uuid":"37f50ab8-2134-46b5-af9a-4846b80c1385","timestamp":"2026-03-13T13:27:00.076Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":"$topStatsQuery.data.topUserJobs","newString":"topUserJobs","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":248,"oldLines":10,"newStart":248,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-users\""," size={colWidthJobs * 0.75}"," sliceLabel=\"Jobs\"","- quantities={$topStatsQuery.data.topUserJobs.map(","+ quantities={topUserJobs.map("," (tu) => tu[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topUserJobs.map((tu) =>","+ entities={topUserJobs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":264,"oldLines":7,"newStart":264,"newLines":7,"lines":[" User"," Jobs"," ","- {#each $topStatsQuery.data.topUserJobs as tu, i}","+ {#each topUserJobs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":298,"oldLines":10,"newStart":298,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-projects\""," size={colWidthJobs * 0.75}"," sliceLabel={\"Jobs\"}","- quantities={$topStatsQuery.data.topProjectJobs.map(","+ quantities={topProjectJobs.map("," (tp) => tp[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topProjectJobs.map((tp) =>","+ entities={topProjectJobs.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":313,"oldLines":7,"newStart":313,"newLines":7,"lines":[" Project"," Jobs"," ","- {#each $topStatsQuery.data.topProjectJobs as tp, i}","+ {#each topProjectJobs as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":368,"oldLines":10,"newStart":368,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-users\""," size={colWidthNodes * 0.75}"," sliceLabel=\"Nodes\"","- quantities={$topStatsQuery.data.topUserNodes.map(","+ quantities={topUserNodes.map("," (tu) => tu[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topUserNodes.map((tu) =>","+ entities={topUserNodes.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":384,"oldLines":7,"newStart":384,"newLines":7,"lines":[" User"," Nodes"," ","- {#each $topStatsQuery.data.topUserNodes as tu, i}","+ {#each topUserNodes as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":418,"oldLines":10,"newStart":418,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-projects\""," size={colWidthNodes * 0.75}"," sliceLabel={\"Nodes\"}","- quantities={$topStatsQuery.data.topProjectNodes.map(","+ quantities={topProjectNodes.map("," (tp) => tp[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topProjectNodes.map((tp) =>","+ entities={topProjectNodes.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":433,"oldLines":7,"newStart":433,"newLines":7,"lines":[" Project"," Nodes"," ","- {#each $topStatsQuery.data.topProjectNodes as tp, i}","+ {#each topProjectNodes as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":488,"oldLines":10,"newStart":488,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-accs-users\""," size={colWidthAccs * 0.75}"," sliceLabel=\"GPUs\"","- quantities={$topStatsQuery.data.topUserAccs.map(","+ quantities={topUserAccs.map("," (tu) => tu[\"totalAccs\"],"," )}","- entities={$topStatsQuery.data.topUserAccs.map((tu) =>","+ entities={topUserAccs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":504,"oldLines":7,"newStart":504,"newLines":7,"lines":[" User"," GPUs"," ","- {#each $topStatsQuery.data.topUserAccs as tu, i}","+ {#each topUserAccs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":538,"oldLines":10,"newStart":538,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-accs-projects\""," size={colWidthAccs * 0.75}"," sliceLabel={\"GPUs\"}","- quantities={$topStatsQuery.data.topProjectAccs.map(","+ quantities={topProjectAccs.map("," (tp) => tp[\"totalAccs\"],"," )}","- entities={$topStatsQuery.data.topProjectAccs.map((tp) =>","+ entities={topProjectAccs.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":553,"oldLines":7,"newStart":553,"newLines":7,"lines":[" Project"," GPUs"," ","- {#each $topStatsQuery.data.topProjectAccs as tp, i}","+ {#each topProjectAccs as tp, i}"," "," &1 | tail -20","description":"Build frontend","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1590,"cache_read_input_tokens":89176,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A2nfzZXwN8j6cgTWfZ","type":"assistant","uuid":"2e9f7512-1ee1-4623-9d3d-3edb8c5b4664","timestamp":"2026-03-13T13:27:09.819Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2e9f7512-1ee1-4623-9d3d-3edb8c5b4664","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016tRASuTsUjzf41JwZ7ZU75","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MA24omAMpEqrMntdBxhJyZ","name":"Bash","input":{"command":"go build ./... 2>&1","description":"Build Go backend","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1590,"cache_read_input_tokens":89176,"output_tokens":239,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1590},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1A2nfzZXwN8j6cgTWfZ","type":"assistant","uuid":"8a593b88-e5d3-447a-8b03-3a8a36540ff5","timestamp":"2026-03-13T13:27:10.608Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2e9f7512-1ee1-4623-9d3d-3edb8c5b4664","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019CMwMFkFANRe6LS8PuDuwh","type":"tool_result","content":"node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/dashpublic.js\u001b[22m in \u001b[1m3.6s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/config.entrypoint.js\u001b[22m → \u001b[1mpublic/build/config.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/config.js\u001b[22m in \u001b[1m2.7s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/logs.entrypoint.js\u001b[22m → \u001b[1mpublic/build/logs.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 35 more\n\u001b[32mcreated \u001b[1mpublic/build/logs.js\u001b[22m in \u001b[1m1.3s\u001b[22m\u001b[39m","is_error":false}]},"uuid":"430c55e4-d75b-4170-bc4c-d0396d5d5be2","timestamp":"2026-03-13T13:27:57.725Z","toolUseResult":{"stdout":"node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/dashpublic.js\u001b[22m in \u001b[1m3.6s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/config.entrypoint.js\u001b[22m → \u001b[1mpublic/build/config.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 37 more\n\u001b[32mcreated \u001b[1mpublic/build/config.js\u001b[22m in \u001b[1m2.7s\u001b[22m\u001b[39m\n\u001b[36m\n\u001b[1msrc/logs.entrypoint.js\u001b[22m → \u001b[1mpublic/build/logs.js\u001b[22m...\u001b[39m\n\u001b[1m\u001b[33m(!) Circular dependencies\u001b[39m\u001b[22m\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/runtime.js\nnode_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dom/hydration.js -> node_modules/svelte/src/internal/client/dom/operations.js\nnode_modules/svelte/src/internal/client/runtime.js -> node_modules/svelte/src/internal/client/reactivity/effects.js -> node_modules/svelte/src/internal/client/dom/operations.js -> node_modules/svelte/src/internal/client/dev/equality.js -> node_modules/svelte/src/internal/client/proxy.js -> node_modules/svelte/src/internal/client/runtime.js\n...and 35 more\n\u001b[32mcreated \u001b[1mpublic/build/logs.js\u001b[22m in 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Version bumped to 14. The `BuildWhereClause` now inlines the literal state value (`job.job_state = 'running'`) so SQLite matches the partial index instead of using a parameterized placeholder.\n\n2. **Request-scoped cache** — `stats_cache.go` provides a `statsGroupCache` injected per GraphQL operation via `AroundOperations` middleware. 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`$derived`."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":137,"cache_read_input_tokens":92043,"output_tokens":287,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":137},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1A7qkB8HuoEk6fsa4Xi","type":"assistant","uuid":"099804b7-9b06-4a50-a6cc-6cfaba7c63c2","timestamp":"2026-03-13T13:28:24.534Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"099804b7-9b06-4a50-a6cc-6cfaba7c63c2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: cmd/cc-backend/server.go\n\tmodified: go.mod\n\tmodified: internal/graph/schema.resolvers.go\n\tmodified: internal/repository/jobQuery.go\n\tmodified: internal/repository/migration.go\n\tmodified: internal/repository/stats.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"8c38acf0-5730-406e-9bcb-4569e2cc147c","timestamp":"2026-03-13T13:31:25.191Z","toolUseResult":{"stdout":"On branch hotfix\nYour branch is behind 'origin/hotfix' by 1 commit, and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: cmd/cc-backend/server.go\n\tmodified: go.mod\n\tmodified: internal/graph/schema.resolvers.go\n\tmodified: internal/repository/jobQuery.go\n\tmodified: internal/repository/migration.go\n\tmodified: internal/repository/stats.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"d9a9e730-dc4c-4f7a-bb76-ac63523c7115","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8c38acf0-5730-406e-9bcb-4569e2cc147c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EqVHditZ6T22Ah73pJhw7f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018XEdEYxNKn8aaiKuPimai3","name":"Bash","input":{"command":"git diff --stat","description":"Show diff summary"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":360,"cache_read_input_tokens":92180,"cache_creation":{"ephemeral_5m_input_tokens":360,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1AMao9ZqiKbKsrsxrYX","type":"assistant","uuid":"a14db320-857f-4476-8be0-3429a2a2939f","timestamp":"2026-03-13T13:31:25.639Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a14db320-857f-4476-8be0-3429a2a2939f","isSidechain":false,"promptId":"1531f999-3e8d-4bf7-bb85-4592b0d6791f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XEdEYxNKn8aaiKuPimai3","type":"tool_result","content":" cmd/cc-backend/server.go | 7 ++\n go.mod | 2 +-\n internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 deletions(-)","is_error":false}]},"uuid":"34def0fd-3190-440e-8478-b886c3b8ff2a","timestamp":"2026-03-13T13:31:25.694Z","toolUseResult":{"stdout":" cmd/cc-backend/server.go | 7 ++\n go.mod | 2 +-\n internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 deletions(-)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"a14db320-857f-4476-8be0-3429a2a2939f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"34def0fd-3190-440e-8478-b886c3b8ff2a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EqVHditZ6T22Ah73pJhw7f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SgzwLdEGwQgUQYdgE1ro8Y","name":"Bash","input":{"command":"git log --oneline -5","description":"Show recent commits"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":360,"cache_read_input_tokens":92180,"output_tokens":256,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":360},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1AMao9ZqiKbKsrsxrYX","type":"assistant","uuid":"c7fff25a-0837-4973-a168-2375bff9a0f5","timestamp":"2026-03-13T13:31:26.169Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d42d9a0e-d8d8-4b03-8530-6b600c20f5fc","toolUseID":"d42d9a0e-d8d8-4b03-8530-6b600c20f5fc","timestamp":"2026-03-13T06:51:34.728Z","uuid":"dd66862b-becb-474c-9673-12d9c2fca5ef","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"dd66862b-becb-474c-9673-12d9c2fca5ef","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Metricstore Memory Explosion Fix Plan\n\n## Root Cause Analysis\n\nThe memory explosion has two interacting causes:\n1. **Emergency free mechanism is broken** — freed buffers go back to pool, pool isn't cleared after the loop, so `mem.Alloc` never decreases. The loop runs 100 iterations uselessly, then waits 1 hour before trying again. Memory grows unchecked.\n2. **Batch abort on write error** — a single out-of-order timestamp aborts the entire NATS batch (`lineprotocol.go:361`). This causes data gaps across many metrics/hosts, producing the \"does not align\" warnings during reads. The same instability that causes timestamp issues causes bursts of data that grow memory.\n\n## Changes\n\n### 1. `pkg/metricstore/metricstore.go` — Fix MemoryUsageTracker (lines 383-476)\n- Remove premature `bufferPool.Clear()` + log at lines 431-432\n- In emergency loop (lines 439-458): add `bufferPool.Clear()` + `runtime.GC()` before `ReadMemStats` at line 455\n- After loop: add `bufferPool.Clear()` + uncomment `debug.FreeOSMemory()` (lines 460-462)\n- Add adaptive ticker: if memory > 80% cap, reset ticker to 30s; else normal interval\n- Replace progressive `ForceFree` loop with `Free(nil, threshold)` using progressive threshold (fewer tree traversals, more effective)\n\n### 2. `pkg/metricstore/config.go` — Reduce check interval (line 56)\n- Change `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute`\n- Add `MemoryCheckInterval string` field to `MetricStoreConfig`\n\n### 3. `pkg/metricstore/lineprotocol.go` — Don't abort batch on write error (lines 361-363)\n- Change `return err` to `cclog.Warn(...)` + `continue` so remaining lines in the NATS message are processed\n\n### 4. `pkg/metricstore/level.go` — Prune empty levels after free\n- Modify `free()` to return emptiness flag; parent deletes empty children from map\n- Improve `sizeInBytes()` to count buffer struct overhead (not just float data)\n\n### 5. `pkg/metricstore/buffer.go` — Add `bufferCount()` helper\n- Count linked-list length for overhead calculation in `sizeInBytes()`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/7e911723-3abe-436f-b672-d1eef82d81c0.jsonl"},"uuid":"167aeef9-9a54-4dde-b724-900d9f7638ae","timestamp":"2026-03-13T06:51:31.951Z","planContent":"# Metricstore Memory Explosion Fix Plan\n\n## Root Cause Analysis\n\nThe memory explosion has two interacting causes:\n1. **Emergency free mechanism is broken** — freed buffers go back to pool, pool isn't cleared after the loop, so `mem.Alloc` never decreases. The loop runs 100 iterations uselessly, then waits 1 hour before trying again. Memory grows unchecked.\n2. **Batch abort on write error** — a single out-of-order timestamp aborts the entire NATS batch (`lineprotocol.go:361`). This causes data gaps across many metrics/hosts, producing the \"does not align\" warnings during reads. The same instability that causes timestamp issues causes bursts of data that grow memory.\n\n## Changes\n\n### 1. `pkg/metricstore/metricstore.go` — Fix MemoryUsageTracker (lines 383-476)\n- Remove premature `bufferPool.Clear()` + log at lines 431-432\n- In emergency loop (lines 439-458): add `bufferPool.Clear()` + `runtime.GC()` before `ReadMemStats` at line 455\n- After loop: add `bufferPool.Clear()` + uncomment `debug.FreeOSMemory()` (lines 460-462)\n- Add adaptive ticker: if memory > 80% cap, reset ticker to 30s; else normal interval\n- Replace progressive `ForceFree` loop with `Free(nil, threshold)` using progressive threshold (fewer tree traversals, more effective)\n\n### 2. `pkg/metricstore/config.go` — Reduce check interval (line 56)\n- Change `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute`\n- Add `MemoryCheckInterval string` field to `MetricStoreConfig`\n\n### 3. `pkg/metricstore/lineprotocol.go` — Don't abort batch on write error (lines 361-363)\n- Change `return err` to `cclog.Warn(...)` + `continue` so remaining lines in the NATS message are processed\n\n### 4. `pkg/metricstore/level.go` — Prune empty levels after free\n- Modify `free()` to return emptiness flag; parent deletes empty children from map\n- Improve `sizeInBytes()` to count buffer struct overhead (not just float data)\n\n### 5. `pkg/metricstore/buffer.go` — Add `bufferCount()` helper\n- Count linked-list length for overhead calculation in `sizeInBytes()`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"167aeef9-9a54-4dde-b724-900d9f7638ae","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkBW59RCY6tGSB56nAGA//z3lRvJEDn5iJLOClMZGjxNRiWuAGiCmaIgNTdta1Sy/TNzx1kW0Sge7rGR/PxRSRnzEgxK8b8uwraTQBzMe5oaDPJaMCG8RF5eeZwUUiIwnqHPOdpt6cL6OQF8XcJa7007BGRTJo7lJUyVZ0a1dmw5UmieO+gnKWqUWGSD0QTZKnDm9NBDNIVf65zz6tniU2i+yXhPvfQxcS7iC1lO9kbcJObsJChK9BVhCRN6sWi7rWPekQrMC0swmq+4SemtgENuUgtlIohUlJUGFn6tqPFU1m4yKiA+XlHLO20GH/c/hLYfsb6Rx9X4Kc+K6DFZ62/xGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"8df415c0-2fb7-471e-9d6c-f46271816d9b","timestamp":"2026-03-13T06:51:36.897Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8df415c0-2fb7-471e-9d6c-f46271816d9b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the relevant files first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"2e4b496b-5820-4fa6-beb4-a6d6d85b72b8","timestamp":"2026-03-13T06:51:37.450Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"2e4b496b-5820-4fa6-beb4-a6d6d85b72b8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EbJddfnEeN7LrkG2yCuCRM","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","timestamp":"2026-03-13T06:51:38.355Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EbJddfnEeN7LrkG2yCuCRM","toolUseID":"toolu_01EbJddfnEeN7LrkG2yCuCRM","timestamp":"2026-03-13T06:51:38.364Z","uuid":"4766aebb-ec10-4efc-98eb-c2e1664f12a4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EbJddfnEeN7LrkG2yCuCRM","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides an efficient in-memory time-series metric storage system\n 7→// with support for hierarchical data organization, checkpointing, and archiving.\n 8→//\n 9→// The package organizes metrics in a tree structure (cluster → host → component) and\n 10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n 11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n 12→// and enforcing retention policies.\n 13→//\n 14→// Key features:\n 15→// - In-memory metric storage with configurable retention\n 16→// - Hierarchical data organization (selectors)\n 17→// - Concurrent checkpoint/archive workers\n 18→// - Support for sum and average aggregation\n 19→// - NATS integration for metric ingestion\n 20→package metricstore\n 21→\n 22→import (\n 23→\t\"bytes\"\n 24→\t\"context\"\n 25→\t\"encoding/json\"\n 26→\t\"errors\"\n 27→\t\"fmt\"\n 28→\t\"runtime\"\n 29→\t\"runtime/debug\"\n 30→\t\"slices\"\n 31→\t\"sync\"\n 32→\t\"time\"\n 33→\n 34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 39→)\n 40→\n 41→// GlobalState holds the global state for the metric store with thread-safe access.\n 42→type GlobalState struct {\n 43→\tmu sync.RWMutex\n 44→\tlastRetentionTime int64\n 45→\tselectorsExcluded bool\n 46→}\n 47→\n 48→var (\n 49→\tsingleton sync.Once\n 50→\tmsInstance *MemoryStore\n 51→\t// shutdownFunc stores the context cancellation function created in Init\n 52→\t// and is called during Shutdown to cancel all background goroutines\n 53→\tshutdownFunc context.CancelFunc\n 54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n 55→\t// Create a global instance\n 56→\tstate = &GlobalState{}\n 57→)\n 58→\n 59→// NodeProvider provides information about nodes currently in use by running jobs.\n 60→//\n 61→// This interface allows metricstore to query job information without directly\n 62→// depending on the repository package, breaking the import cycle.\n 63→//\n 64→// Implementations should return nodes that are actively processing jobs started\n 65→// before the given timestamp. These nodes will be excluded from retention-based\n 66→// garbage collection to prevent data loss for jobs that are still running or\n 67→// recently completed.\n 68→type NodeProvider interface {\n 69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n 70→\t// that are currently in use by jobs that started before the given timestamp.\n 71→\t//\n 72→\t// Parameters:\n 73→\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n 74→\t//\n 75→\t// Returns:\n 76→\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n 77→\t// - Error if the query fails\n 78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n 79→}\n 80→\n 81→// Metric represents a single metric data point to be written to the store.\n 82→type Metric struct {\n 83→\tName string\n 84→\tValue schema.Float\n 85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n 86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n 87→\tMetricConfig MetricConfig\n 88→}\n 89→\n 90→// MemoryStore is the main in-memory time-series metric storage implementation.\n 91→//\n 92→// It organizes metrics in a hierarchical tree structure where each level represents\n 93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n 94→// store multiple metrics as time-series buffers.\n 95→//\n 96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n 97→// All public methods are safe for concurrent use.\n 98→type MemoryStore struct {\n 99→\tMetrics map[string]MetricConfig\n 100→\troot Level\n 101→\tnodeProvider NodeProvider\n 102→}\n 103→\n 104→// Init initializes the metric store from configuration and starts background workers.\n 105→//\n 106→// This function must be called exactly once before any other metricstore operations.\n 107→// It performs the following initialization steps:\n 108→// 1. Validates and decodes the metric store configuration\n 109→// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n 110→// 3. Loads metric configurations from all registered clusters\n 111→// 4. Restores checkpoints within the retention window\n 112→// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n 113→// 6. Optionally subscribes to NATS for real-time metric ingestion\n 114→//\n 115→// Parameters:\n 116→// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n 117→// - wg: WaitGroup that will be incremented for each background goroutine started\n 118→//\n 119→// The function will call cclog.Fatal on critical errors during initialization.\n 120→// Use Shutdown() to cleanly stop all background workers started by Init().\n 121→//\n 122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n 123→// receiving termination signals to ensure checkpoint data is persisted.\n 124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n 125→\tstartupTime := time.Now()\n 126→\n 127→\tif rawConfig != nil {\n 128→\t\tconfig.Validate(configSchema, rawConfig)\n 129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 130→\t\tdec.DisallowUnknownFields()\n 131→\t\tif err := dec.Decode(&Keys); err != nil {\n 132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n 133→\t\t}\n 134→\t}\n 135→\n 136→\t// Set NumWorkers from config or use default\n 137→\tif Keys.NumWorkers <= 0 {\n 138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n 139→\t}\n 140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n 141→\n 142→\t// Pass the config.MetricStoreKeys\n 143→\tInitMetrics(metrics)\n 144→\n 145→\tms := GetMemoryStore()\n 146→\n 147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 148→\tif err != nil {\n 149→\t\tcclog.Fatal(err)\n 150→\t}\n 151→\n 152→\trestoreFrom := startupTime.Add(-d)\n 153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n 154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n 155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n 156→\tif err != nil {\n 157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n 158→\t} else {\n 159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n 160→\t}\n 161→\n 162→\t// Try to use less memory by forcing a GC run here and then\n 163→\t// lowering the target percentage. The default of 100 means\n 164→\t// that only once the ratio of new allocations execeds the\n 165→\t// previously active heap, a GC is triggered.\n 166→\t// Forcing a GC here will set the \"previously active heap\"\n 167→\t// to a minumum.\n 168→\t// runtime.GC()\n 169→\n 170→\tctx, shutdown := context.WithCancel(context.Background())\n 171→\n 172→\tRetention(wg, ctx)\n 173→\tCheckpointing(wg, ctx)\n 174→\tCleanUp(wg, ctx)\n 175→\tWALStaging(wg, ctx)\n 176→\tMemoryUsageTracker(wg, ctx)\n 177→\n 178→\t// Note: Signal handling has been removed from this function.\n 179→\t// The caller is responsible for handling shutdown signals and calling\n 180→\t// the shutdown() function when appropriate.\n 181→\t// Store the shutdown function for later use by Shutdown()\n 182→\tshutdownFuncMu.Lock()\n 183→\tshutdownFunc = shutdown\n 184→\tshutdownFuncMu.Unlock()\n 185→\n 186→\tif Keys.Subscriptions != nil {\n 187→\t\terr = ReceiveNats(ms, 1, ctx)\n 188→\t\tif err != nil {\n 189→\t\t\tcclog.Fatal(err)\n 190→\t\t}\n 191→\t}\n 192→}\n 193→\n 194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n 195→//\n 196→// This function must be called before GetMemoryStore() and can only be called once due to\n 197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n 198→//\n 199→// Parameters:\n 200→// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n 201→//\n 202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n 203→//\n 204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n 205→func InitMetrics(metrics map[string]MetricConfig) {\n 206→\tsingleton.Do(func() {\n 207→\t\toffset := 0\n 208→\t\tfor key, cfg := range metrics {\n 209→\t\t\tif cfg.Frequency == 0 {\n 210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n 211→\t\t\t}\n 212→\n 213→\t\t\tmetrics[key] = MetricConfig{\n 214→\t\t\t\tFrequency: cfg.Frequency,\n 215→\t\t\t\tAggregation: cfg.Aggregation,\n 216→\t\t\t\toffset: offset,\n 217→\t\t\t}\n 218→\t\t\toffset += 1\n 219→\t\t}\n 220→\n 221→\t\tmsInstance = &MemoryStore{\n 222→\t\t\troot: Level{\n 223→\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n 224→\t\t\t\tchildren: make(map[string]*Level),\n 225→\t\t\t},\n 226→\t\t\tMetrics: metrics,\n 227→\t\t}\n 228→\t})\n 229→}\n 230→\n 231→// GetMemoryStore returns the singleton MemoryStore instance.\n 232→//\n 233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n 234→//\n 235→// This function is safe for concurrent use after initialization.\n 236→func GetMemoryStore() *MemoryStore {\n 237→\tif msInstance == nil {\n 238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n 239→\t}\n 240→\n 241→\treturn msInstance\n 242→}\n 243→\n 244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n 245→\tif metric, ok := ms.Metrics[metricName]; ok {\n 246→\t\treturn metric.Frequency, nil\n 247→\t}\n 248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n 249→}\n 250→\n 251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n 252→// This must be called during initialization to provide job state information\n 253→// for selective buffer retention during Free operations.\n 254→// If not set, the Free function will fall back to freeing all buffers.\n 255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n 256→\tms.nodeProvider = provider\n 257→}\n 258→\n 259→// Shutdown performs a graceful shutdown of the metric store.\n 260→//\n 261→// This function cancels all background goroutines started by Init() and writes\n 262→// a final checkpoint to disk before returning. It should be called when the\n 263→// application receives a termination signal.\n 264→//\n 265→// The function will:\n 266→// 1. Cancel the context to stop all background workers\n 267→// 2. Close the WAL messages channel if using WAL format\n 268→// 3. Write a final checkpoint to preserve in-memory data\n 269→// 4. Log any errors encountered during shutdown\n 270→//\n 271→// Note: This function blocks until the final checkpoint is written.\n 272→func Shutdown() {\n 273→\tshutdownFuncMu.Lock()\n 274→\tdefer shutdownFuncMu.Unlock()\n 275→\tif shutdownFunc != nil {\n 276→\t\tshutdownFunc()\n 277→\t}\n 278→\n 279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 280→\t\tclose(WALMessages)\n 281→\t}\n 282→\n 283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n 284→\tvar files int\n 285→\tvar err error\n 286→\n 287→\tms := GetMemoryStore()\n 288→\n 289→\tlastCheckpointMu.Lock()\n 290→\tfrom := lastCheckpoint\n 291→\tlastCheckpointMu.Unlock()\n 292→\n 293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 294→\t\tvar hostDirs []string\n 295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 296→\t\tif err == nil {\n 297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n 298→\t\t}\n 299→\t} else {\n 300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 301→\t}\n 302→\n 303→\tif err != nil {\n 304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n 305→\t}\n 306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n 307→}\n 308→\n 309→// Retention starts a background goroutine that periodically frees old metric data.\n 310→//\n 311→// This worker runs at half the retention interval and calls Free() to remove buffers\n 312→// older than the configured retention time. It respects the NodeProvider to preserve\n 313→// data for nodes with active jobs.\n 314→//\n 315→// Parameters:\n 316→// - wg: WaitGroup to signal completion when context is cancelled\n 317→// - ctx: Context for cancellation signal\n 318→//\n 319→// The goroutine exits when ctx is cancelled.\n 320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n 321→\tms := GetMemoryStore()\n 322→\n 323→\twg.Go(func() {\n 324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 325→\t\tif err != nil {\n 326→\t\t\tcclog.Fatal(err)\n 327→\t\t}\n 328→\t\tif d <= 0 {\n 329→\t\t\treturn\n 330→\t\t}\n 331→\n 332→\t\ttickInterval := d / 2\n 333→\t\tif tickInterval <= 0 {\n 334→\t\t\treturn\n 335→\t\t}\n 336→\t\tticker := time.NewTicker(tickInterval)\n 337→\t\tdefer ticker.Stop()\n 338→\n 339→\t\tfor {\n 340→\t\t\tselect {\n 341→\t\t\tcase <-ctx.Done():\n 342→\t\t\t\treturn\n 343→\t\t\tcase <-ticker.C:\n 344→\t\t\t\tstate.mu.Lock()\n 345→\n 346→\t\t\t\tt := time.Now().Add(-d)\n 347→\n 348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n 349→\n 350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n 351→\n 352→\t\t\t\tfreed, err := Free(ms, t)\n 353→\t\t\t\tif err != nil {\n 354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n 355→\t\t\t\t} else {\n 356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n 357→\t\t\t\t}\n 358→\n 359→\t\t\t\tstate.mu.Unlock()\n 360→\n 361→\t\t\t\t// Clean up the buffer pool\n 362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n 363→\t\t\t}\n 364→\t\t}\n 365→\t})\n 366→}\n 367→\n 368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n 369→//\n 370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n 371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n 372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n 373→// performance issues.\n 374→//\n 375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n 376→// visibility into memory overhead from Go runtime structures and allocations.\n 377→//\n 378→// Parameters:\n 379→// - wg: WaitGroup to signal completion when context is cancelled\n 380→// - ctx: Context for cancellation signal\n 381→//\n 382→// The goroutine exits when ctx is cancelled.\n 383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n 384→\tms := GetMemoryStore()\n 385→\n 386→\twg.Go(func() {\n 387→\t\td := DefaultMemoryUsageTrackerInterval\n 388→\n 389→\t\tif d <= 0 {\n 390→\t\t\treturn\n 391→\t\t}\n 392→\n 393→\t\tticker := time.NewTicker(d)\n 394→\t\tdefer ticker.Stop()\n 395→\n 396→\t\tfor {\n 397→\t\t\tselect {\n 398→\t\t\tcase <-ctx.Done():\n 399→\t\t\t\treturn\n 400→\t\t\tcase <-ticker.C:\n 401→\t\t\t\tvar mem runtime.MemStats\n 402→\t\t\t\truntime.ReadMemStats(&mem)\n 403→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 404→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 405→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 406→\n 407→\t\t\t\tfreedExcluded := 0\n 408→\t\t\t\tfreedEmergency := 0\n 409→\t\t\t\tvar err error\n 410→\n 411→\t\t\t\tstate.mu.RLock()\n 412→\t\t\t\tlastRetention := state.lastRetentionTime\n 413→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 414→\t\t\t\tstate.mu.RUnlock()\n 415→\n 416→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 417→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 418→\t\t\t\t\tif err != nil {\n 419→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 420→\t\t\t\t\t}\n 421→\n 422→\t\t\t\t\tif freedExcluded > 0 {\n 423→\t\t\t\t\t\tdebug.FreeOSMemory()\n 424→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 425→\t\t\t\t\t}\n 426→\t\t\t\t}\n 427→\n 428→\t\t\t\truntime.ReadMemStats(&mem)\n 429→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 430→\n 431→\t\t\t\tbufferPool.Clear()\n 432→\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n 433→\n 434→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n 435→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n 436→\n 437→\t\t\t\t\tconst maxIterations = 100\n 438→\n 439→\t\t\t\t\tfor i := range maxIterations {\n 440→\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n 441→\t\t\t\t\t\t\tbreak\n 442→\t\t\t\t\t\t}\n 443→\n 444→\t\t\t\t\t\tfreed, err := ms.ForceFree()\n 445→\t\t\t\t\t\tif err != nil {\n 446→\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n 447→\t\t\t\t\t\t}\n 448→\t\t\t\t\t\tif freed == 0 {\n 449→\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 450→\t\t\t\t\t\t\tbreak\n 451→\t\t\t\t\t\t}\n 452→\t\t\t\t\t\tfreedEmergency += freed\n 453→\n 454→\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n 455→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n 456→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 457→\t\t\t\t\t\t}\n 458→\t\t\t\t\t}\n 459→\n 460→\t\t\t\t\t// if freedEmergency > 0 {\n 461→\t\t\t\t\t// \tdebug.FreeOSMemory()\n 462→\t\t\t\t\t// }\n 463→\n 464→\t\t\t\t\truntime.ReadMemStats(&mem)\n 465→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 466→\n 467→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n 468→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 469→\t\t\t\t\t} else {\n 470→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n 471→\t\t\t\t\t}\n 472→\t\t\t\t}\n 473→\t\t\t}\n 474→\t\t}\n 475→\t})\n 476→}\n 477→\n 478→// Free removes metric data older than the given time while preserving data for active nodes.\n 479→//\n 480→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n 481→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n 482→// preserved even if older than the retention time.\n 483→//\n 484→// Parameters:\n 485→// - ms: The MemoryStore instance\n 486→// - t: Time threshold - buffers with data older than this will be freed\n 487→//\n 488→// Returns:\n 489→// - Number of buffers freed\n 490→// - Error if NodeProvider query fails\n 491→//\n 492→// Behavior:\n 493→// - If no NodeProvider is set: frees all buffers older than t\n 494→// - If NodeProvider returns empty map: frees all buffers older than t\n 495→// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n 496→func Free(ms *MemoryStore, t time.Time) (int, error) {\n 497→\t// If no NodeProvider is configured, free all buffers older than t\n 498→\tif ms.nodeProvider == nil {\n 499→\t\treturn ms.Free(nil, t.Unix())\n 500→\t}\n 501→\n 502→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n 503→\tif err != nil {\n 504→\t\treturn 0, err\n 505→\t}\n 506→\n 507→\tswitch lenMap := len(excludeSelectors); lenMap {\n 508→\n 509→\t// If the length of the map returned by GetUsedNodes() is 0,\n 510→\t// then use default Free method with nil selector\n 511→\tcase 0:\n 512→\t\tstate.selectorsExcluded = false\n 513→\t\treturn ms.Free(nil, t.Unix())\n 514→\n 515→\t// Else formulate selectors, exclude those from the map\n 516→\t// and free the rest of the selectors\n 517→\tdefault:\n 518→\t\tstate.selectorsExcluded = true\n 519→\t\tselectors := GetSelectors(ms, excludeSelectors)\n 520→\t\treturn FreeSelected(ms, selectors, t)\n 521→\t}\n 522→}\n 523→\n 524→// FreeSelected frees buffers for specific selectors while preserving others.\n 525→//\n 526→// This function is used when we want to retain some specific nodes beyond the retention time.\n 527→// It iterates through the provided selectors and frees their associated buffers.\n 528→//\n 529→// Parameters:\n 530→// - ms: The MemoryStore instance\n 531→// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n 532→// - t: Time threshold for freeing buffers\n 533→//\n 534→// Returns the total number of buffers freed and any error encountered.\n 535→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n 536→\tfreed := 0\n 537→\n 538→\tfor _, selector := range selectors {\n 539→\n 540→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n 541→\t\tif err != nil {\n 542→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n 543→\t\t}\n 544→\t\tfreed += freedBuffers\n 545→\n 546→\t}\n 547→\n 548→\treturn freed, nil\n 549→}\n 550→\n 551→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n 552→//\n 553→// This function generates a list of selectors whose buffers should be freed by excluding\n 554→// selectors that correspond to nodes currently in use by running jobs.\n 555→//\n 556→// Parameters:\n 557→// - ms: The MemoryStore instance\n 558→// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n 559→//\n 560→// Returns a list of selectors ([]string paths) that can be safely freed.\n 561→//\n 562→// Example:\n 563→//\n 564→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n 565→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n 566→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n 567→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n 568→\tallSelectors := ms.GetPaths(2)\n 569→\n 570→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n 571→\n 572→\tfor _, path := range allSelectors {\n 573→\t\tif len(path) < 2 {\n 574→\t\t\tcontinue\n 575→\t\t}\n 576→\n 577→\t\tkey := path[0] // The \"Key\" (Level 1)\n 578→\t\tvalue := path[1] // The \"Value\" (Level 2)\n 579→\n 580→\t\texclude := false\n 581→\n 582→\t\t// Check if the key exists in our exclusion map\n 583→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n 584→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n 585→\t\t\tif slices.Contains(excludedValues, value) {\n 586→\t\t\t\texclude = true\n 587→\t\t\t}\n 588→\t\t}\n 589→\n 590→\t\tif !exclude {\n 591→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n 592→\t\t}\n 593→\t}\n 594→\n 595→\treturn filteredSelectors\n 596→}\n 597→\n 598→// GetPaths returns a list of lists (paths) to the specified depth.\n 599→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n 600→\tvar results [][]string\n 601→\n 602→\t// Start recursion. Initial path is empty.\n 603→\t// We treat Root as depth 0.\n 604→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n 605→\n 606→\treturn results\n 607→}\n 608→\n 609→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n 610→// Look at `findLevelOrCreate` for how selectors work.\n 611→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n 612→\tvar ok bool\n 613→\tfor i, metric := range metrics {\n 614→\t\tif metric.MetricConfig.Frequency == 0 {\n 615→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n 616→\t\t\tif !ok {\n 617→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n 618→\t\t\t\tmetric.MetricConfig.Frequency = 0\n 619→\t\t\t}\n 620→\t\t\tmetrics[i] = metric\n 621→\t\t}\n 622→\t}\n 623→\n 624→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n 625→}\n 626→\n 627→func (m *MemoryStore) GetLevel(selector []string) *Level {\n 628→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n 629→}\n 630→\n 631→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n 632→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n 633→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n 634→\tl.lock.Lock()\n 635→\tdefer l.lock.Unlock()\n 636→\n 637→\tfor _, metric := range metrics {\n 638→\t\tif metric.MetricConfig.Frequency == 0 {\n 639→\t\t\tcontinue\n 640→\t\t}\n 641→\n 642→\t\tb := l.metrics[metric.MetricConfig.offset]\n 643→\t\tif b == nil {\n 644→\t\t\t// First write to this metric and level\n 645→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n 646→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n 647→\t\t}\n 648→\n 649→\t\tnb, err := b.write(ts, metric.Value)\n 650→\t\tif err != nil {\n 651→\t\t\treturn err\n 652→\t\t}\n 653→\n 654→\t\t// Last write created a new buffer...\n 655→\t\tif b != nb {\n 656→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n 657→\t\t}\n 658→\t}\n 659→\treturn nil\n 660→}\n 661→\n 662→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n 663→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n 664→// The second and third return value are the actual from/to for the data. Those can be different from\n 665→// the range asked for if no data was available.\n 666→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n 667→\tif from > to {\n 668→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n 669→\t}\n 670→\n 671→\tminfo, ok := m.Metrics[metric]\n 672→\tif !ok {\n 673→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n 674→\t}\n 675→\n 676→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n 677→\n 678→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 679→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n 680→\t\tif err != nil {\n 681→\t\t\treturn err\n 682→\t\t}\n 683→\n 684→\t\tif n == 0 {\n 685→\t\t\tfrom, to = cfrom, cto\n 686→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n 687→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n 688→\t\t\tif missingfront != 0 {\n 689→\t\t\t\treturn ErrDataDoesNotAlign\n 690→\t\t\t}\n 691→\n 692→\t\t\tnewlen := len(cdata) - missingback\n 693→\t\t\tif newlen < 1 {\n 694→\t\t\t\treturn ErrDataDoesNotAlign\n 695→\t\t\t}\n 696→\t\t\tcdata = cdata[0:newlen]\n 697→\t\t\tif len(cdata) != len(data) {\n 698→\t\t\t\treturn ErrDataDoesNotAlign\n 699→\t\t\t}\n 700→\n 701→\t\t\tfrom, to = cfrom, cto\n 702→\t\t}\n 703→\n 704→\t\tdata = cdata\n 705→\t\tn += 1\n 706→\t\treturn nil\n 707→\t})\n 708→\n 709→\tif err != nil {\n 710→\t\treturn nil, 0, 0, 0, err\n 711→\t} else if n == 0 {\n 712→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n 713→\t} else if n > 1 {\n 714→\t\tif minfo.Aggregation == AvgAggregation {\n 715→\t\t\tnormalize := 1. / schema.Float(n)\n 716→\t\t\tfor i := 0; i < len(data); i++ {\n 717→\t\t\t\tdata[i] *= normalize\n 718→\t\t\t}\n 719→\t\t} else if minfo.Aggregation != SumAggregation {\n 720→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n 721→\t\t}\n 722→\t}\n 723→\n 724→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n 725→\tif err != nil {\n 726→\t\treturn nil, 0, 0, 0, err\n 727→\t}\n 728→\n 729→\treturn data, from, to, resolution, nil\n 730→}\n 731→\n 732→// Free releases all buffers for the selected level and all its children that\n 733→// contain only values older than `t`.\n 734→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n 735→\treturn m.GetLevel(selector).free(t)\n 736→}\n 737→\n 738→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n 739→func (m *MemoryStore) ForceFree() (int, error) {\n 740→\treturn m.GetLevel(nil).forceFree()\n 741→}\n 742→\n 743→func (m *MemoryStore) FreeAll() error {\n 744→\tfor k := range m.root.children {\n 745→\t\tdelete(m.root.children, k)\n 746→\t}\n 747→\n 748→\treturn nil\n 749→}\n 750→\n 751→func (m *MemoryStore) SizeInBytes() int64 {\n 752→\treturn m.root.sizeInBytes()\n 753→}\n 754→\n 755→func (m *MemoryStore) SizeInGB() float64 {\n 756→\treturn float64(m.root.sizeInBytes()) / 1e9\n 757→}\n 758→\n 759→// ListChildren , given a selector, returns a list of all children of the level\n 760→// selected.\n 761→func (m *MemoryStore) ListChildren(selector []string) []string {\n 762→\tlvl := &m.root\n 763→\tfor lvl != nil && len(selector) != 0 {\n 764→\t\tlvl.lock.RLock()\n 765→\t\tnext := lvl.children[selector[0]]\n 766→\t\tlvl.lock.RUnlock()\n 767→\t\tlvl = next\n 768→\t\tselector = selector[1:]\n 769→\t}\n 770→\n 771→\tif lvl == nil {\n 772→\t\treturn nil\n 773→\t}\n 774→\n 775→\tlvl.lock.RLock()\n 776→\tdefer lvl.lock.RUnlock()\n 777→\n 778→\tchildren := make([]string, 0, len(lvl.children))\n 779→\tfor child := range lvl.children {\n 780→\t\tchildren = append(children, child)\n 781→\t}\n 782→\n 783→\treturn children\n 784→}\n 785→"}]},"uuid":"1e97e603-6306-434d-88ff-d1a464ec2fd7","timestamp":"2026-03-13T06:51:38.364Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":785,"startLine":1,"totalLines":785}},"sourceToolAssistantUUID":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1e97e603-6306-434d-88ff-d1a464ec2fd7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","timestamp":"2026-03-13T06:51:38.802Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","toolUseID":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","timestamp":"2026-03-13T06:51:38.807Z","uuid":"6a44cbf3-47f8-4069-bd9a-197f0c69f685","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides config.go: Configuration structures and metric management.\n 7→//\n 8→// # Configuration Hierarchy\n 9→//\n 10→// The metricstore package uses nested configuration structures:\n 11→//\n 12→//\tMetricStoreConfig (Keys)\n 13→//\t├─ NumWorkers: Parallel checkpoint/archive workers\n 14→//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n 15→//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n 16→//\t├─ Checkpoints: Persistence configuration\n 17→//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n 18→//\t│ └─ RootDir: Checkpoint storage path\n 19→//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n 20→//\t│ ├─ RootDir: Archive storage path (archive mode only)\n 21→//\t│ └─ Mode: \"delete\" or \"archive\"\n 22→//\t├─ Debug: Development/debugging options\n 23→//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n 24→//\n 25→// # Metric Configuration\n 26→//\n 27→// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n 28→// Metrics map, defining:\n 29→//\n 30→// - Frequency: Measurement interval in seconds\n 31→// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n 32→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 33→//\n 34→// # AggregationStrategy\n 35→//\n 36→// Determines how to combine metric values when aggregating from finer to coarser scopes:\n 37→//\n 38→// - NoAggregation: Do not combine (incompatible scopes)\n 39→// - SumAggregation: Add values (e.g., power consumption: core→socket)\n 40→// - AvgAggregation: Average values (e.g., temperature: core→socket)\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"fmt\"\n 45→\t\"time\"\n 46→\n 47→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 48→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 50→)\n 51→\n 52→const (\n 53→\tDefaultMaxWorkers = 10\n 54→\tDefaultBufferCapacity = 512\n 55→\tDefaultGCTriggerInterval = 100\n 56→\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n 57→)\n 58→\n 59→// Checkpoints configures periodic persistence of in-memory metric data.\n 60→//\n 61→// Fields:\n 62→// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n 63→// - RootDir: Filesystem path for checkpoint files (created if missing)\n 64→type Checkpoints struct {\n 65→\tFileFormat string `json:\"file-format\"`\n 66→\tRootDir string `json:\"directory\"`\n 67→}\n 68→\n 69→// Debug provides development and profiling options.\n 70→//\n 71→// Fields:\n 72→// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n 73→// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\n 74→type Debug struct {\n 75→\tDumpToFile string `json:\"dump-to-file\"`\n 76→\tEnableGops bool `json:\"gops\"`\n 77→}\n 78→\n 79→// Cleanup configures long-term storage of old metric data.\n 80→//\n 81→// Data older than RetentionInMemory is archived to disk or deleted.\n 82→// The cleanup interval is always RetentionInMemory.\n 83→//\n 84→// Fields:\n 85→// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n 86→// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\n 87→type Cleanup struct {\n 88→\tRootDir string `json:\"directory\"`\n 89→\tMode string `json:\"mode\"`\n 90→}\n 91→\n 92→// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n 93→//\n 94→// Each subscription receives metrics via NATS messaging, enabling real-time\n 95→// data collection from compute nodes.\n 96→//\n 97→// Fields:\n 98→// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n 99→// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\n 100→type Subscriptions []struct {\n 101→\t// Channel name\n 102→\tSubscribeTo string `json:\"subscribe-to\"`\n 103→\n 104→\t// Allow lines without a cluster tag, use this as default, optional\n 105→\tClusterTag string `json:\"cluster-tag\"`\n 106→}\n 107→\n 108→// MetricStoreConfig defines the main configuration for the metricstore.\n 109→//\n 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`\n 125→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 126→\tMemoryCap int `json:\"memory-cap\"`\n 127→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 128→\tDebug *Debug `json:\"debug\"`\n 129→\tCleanup *Cleanup `json:\"cleanup\"`\n 130→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 131→}\n 132→\n 133→// Keys is the global metricstore configuration instance.\n 134→//\n 135→// Initialized with defaults, then overwritten by cc-backend's config.json.\n 136→// Accessed by Init(), Checkpointing(), and other lifecycle functions.\n 137→var Keys MetricStoreConfig = MetricStoreConfig{\n 138→\tCheckpoints: Checkpoints{\n 139→\t\tFileFormat: \"wal\",\n 140→\t\tRootDir: \"./var/checkpoints\",\n 141→\t},\n 142→\tCleanup: &Cleanup{\n 143→\t\tMode: \"delete\",\n 144→\t},\n 145→}\n 146→\n 147→// AggregationStrategy defines how to combine metric values across hierarchy levels.\n 148→//\n 149→// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n 150→// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n 151→//\n 152→// Values:\n 153→// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n 154→// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n 155→// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\n 156→type AggregationStrategy int\n 157→\n 158→const (\n 159→\tNoAggregation AggregationStrategy = iota // Do not aggregate\n 160→\tSumAggregation // Sum values (e.g., power, energy)\n 161→\tAvgAggregation // Average values (e.g., temperature, utilization)\n 162→)\n 163→\n 164→// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n 165→//\n 166→// Used when loading metric configurations from JSON/YAML files.\n 167→//\n 168→// Parameters:\n 169→// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n 170→//\n 171→// Returns:\n 172→// - AggregationStrategy: Parsed value\n 173→// - error: Non-nil if str is unrecognized\n 174→func AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n 175→\tswitch str {\n 176→\tcase \"\":\n 177→\t\treturn NoAggregation, nil\n 178→\tcase \"sum\":\n 179→\t\treturn SumAggregation, nil\n 180→\tcase \"avg\":\n 181→\t\treturn AvgAggregation, nil\n 182→\tdefault:\n 183→\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n 184→\t}\n 185→}\n 186→\n 187→// MetricConfig defines configuration for a single metric type.\n 188→//\n 189→// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n 190→//\n 191→// Fields:\n 192→// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n 193→// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n 194→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 195→type MetricConfig struct {\n 196→\t// Interval in seconds at which measurements are stored\n 197→\tFrequency int64\n 198→\n 199→\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n 200→\tAggregation AggregationStrategy\n 201→\n 202→\t// Private, used internally...\n 203→\toffset int\n 204→}\n 205→\n 206→func BuildMetricList() map[string]MetricConfig {\n 207→\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n 208→\n 209→\taddMetric := func(name string, metric MetricConfig) error {\n 210→\t\tif metrics == nil {\n 211→\t\t\tmetrics = make(map[string]MetricConfig, 0)\n 212→\t\t}\n 213→\n 214→\t\tif existingMetric, ok := metrics[name]; ok {\n 215→\t\t\tif existingMetric.Frequency != metric.Frequency {\n 216→\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n 217→\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n 218→\t\t\t\t\tmetrics[name] = existingMetric\n 219→\t\t\t\t}\n 220→\t\t\t}\n 221→\t\t} else {\n 222→\t\t\tmetrics[name] = metric\n 223→\t\t}\n 224→\n 225→\t\treturn nil\n 226→\t}\n 227→\n 228→\t// Helper function to add metric configuration\n 229→\taddMetricConfig := func(mc *schema.MetricConfig) {\n 230→\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n 231→\t\tif err != nil {\n 232→\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n 233→\t\t}\n 234→\n 235→\t\taddMetric(mc.Name, MetricConfig{\n 236→\t\t\tFrequency: int64(mc.Timestep),\n 237→\t\t\tAggregation: agg,\n 238→\t\t})\n 239→\t}\n 240→\tfor _, c := range archive.Clusters {\n 241→\t\tfor _, mc := range c.MetricConfig {\n 242→\t\t\taddMetricConfig(mc)\n 243→\t\t}\n 244→\n 245→\t\tfor _, sc := range c.SubClusters {\n 246→\t\t\tfor _, mc := range sc.MetricConfig {\n 247→\t\t\t\taddMetricConfig(mc)\n 248→\t\t\t}\n 249→\t\t}\n 250→\t}\n 251→\n 252→\treturn metrics\n 253→}\n 254→"}]},"uuid":"e3daed94-d74d-41af-b75e-b2aebb72d6ee","timestamp":"2026-03-13T06:51:38.807Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","numLines":254,"startLine":1,"totalLines":254}},"sourceToolAssistantUUID":"02aaffa4-66f2-4db0-999f-096c2db78c1f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e3daed94-d74d-41af-b75e-b2aebb72d6ee","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013GrPD7Ni1PDgit3SmkH6gF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"e77a0811-b490-4192-92c6-cdb285981ce5","timestamp":"2026-03-13T06:51:39.252Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e77a0811-b490-4192-92c6-cdb285981ce5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013GrPD7Ni1PDgit3SmkH6gF","toolUseID":"toolu_013GrPD7Ni1PDgit3SmkH6gF","timestamp":"2026-03-13T06:51:39.256Z","uuid":"5c0e1c1e-6977-42be-9797-aa14dce81a9f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e77a0811-b490-4192-92c6-cdb285981ce5","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013GrPD7Ni1PDgit3SmkH6gF","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file implements ingestion of InfluxDB line-protocol metric data received\n 7→// over NATS. Each line encodes one metric sample with the following structure:\n 8→//\n 9→//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n 10→//\n 11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n 12→// routing information (cluster, host) and optional sub-device selectors (type,\n 13→// subtype). Only one field is expected per line: \"value\".\n 14→//\n 15→// After decoding, each sample is:\n 16→// 1. Written to the in-memory store via ms.WriteToLevel.\n 17→// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n 18→// goroutine via the WALMessages channel for durable write-ahead logging.\n 19→package metricstore\n 20→\n 21→import (\n 22→\t\"bytes\"\n 23→\t\"context\"\n 24→\t\"fmt\"\n 25→\t\"sync\"\n 26→\t\"time\"\n 27→\n 28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 29→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 30→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 31→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 32→)\n 33→\n 34→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n 35→// line-protocol messages into the MemoryStore.\n 36→//\n 37→// When workers > 1 a pool of goroutines drains a shared channel so that\n 38→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n 39→// callback decodes inline (no channel overhead, lower latency).\n 40→//\n 41→// The function blocks until ctx is cancelled and all worker goroutines have\n 42→// finished. It returns nil when the NATS client is not configured; callers\n 43→// should treat that as a no-op rather than an error.\n 44→func ReceiveNats(ms *MemoryStore,\n 45→\tworkers int,\n 46→\tctx context.Context,\n 47→) error {\n 48→\tnc := nats.GetClient()\n 49→\n 50→\tif nc == nil {\n 51→\t\tcclog.Warn(\"NATS client not initialized\")\n 52→\t\treturn nil\n 53→\t}\n 54→\n 55→\tvar wg sync.WaitGroup\n 56→\tmsgs := make(chan []byte, workers*2)\n 57→\n 58→\tfor _, sc := range *Keys.Subscriptions {\n 59→\t\tclusterTag := sc.ClusterTag\n 60→\t\tif workers > 1 {\n 61→\t\t\twg.Add(workers)\n 62→\n 63→\t\t\tfor range workers {\n 64→\t\t\t\tgo func() {\n 65→\t\t\t\t\tdefer wg.Done()\n 66→\t\t\t\t\tfor m := range msgs {\n 67→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n 68→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n 69→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n 70→\t\t\t\t\t\t}\n 71→\t\t\t\t\t}\n 72→\t\t\t\t}()\n 73→\t\t\t}\n 74→\n 75→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n 76→\t\t\t\tselect {\n 77→\t\t\t\tcase msgs <- data:\n 78→\t\t\t\tcase <-ctx.Done():\n 79→\t\t\t\t}\n 80→\t\t\t})\n 81→\t\t} else {\n 82→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n 83→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n 84→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n 85→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n 86→\t\t\t\t}\n 87→\t\t\t})\n 88→\t\t}\n 89→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n 90→\t}\n 91→\n 92→\tgo func() {\n 93→\t\t<-ctx.Done()\n 94→\t\tclose(msgs)\n 95→\t}()\n 96→\n 97→\twg.Wait()\n 98→\n 99→\treturn nil\n 100→}\n 101→\n 102→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n 103→// avoiding an allocation. Falls back to a regular append otherwise.\n 104→//\n 105→// It is used to assemble the \"type\" and \"subtype\" selector\n 106→// strings when the type tag arrives before the type-id tag in the line, so the\n 107→// two byte slices need to be concatenated in tag-declaration order regardless\n 108→// of wire order.\n 109→func reorder(buf, prefix []byte) []byte {\n 110→\tn := len(prefix)\n 111→\tm := len(buf)\n 112→\tif cap(buf) < m+n {\n 113→\t\treturn append(prefix[:n:n], buf...)\n 114→\t} else {\n 115→\t\tbuf = buf[:n+m]\n 116→\t\tfor i := m - 1; i >= 0; i-- {\n 117→\t\t\tbuf[i+n] = buf[i]\n 118→\t\t}\n 119→\t\tfor i := range n {\n 120→\t\t\tbuf[i] = prefix[i]\n 121→\t\t}\n 122→\t\treturn buf\n 123→\t}\n 124→}\n 125→\n 126→// decodeState holds the per-call scratch buffers used by DecodeLine.\n 127→// Instances are recycled via decodeStatePool to avoid repeated allocations\n 128→// during high-throughput ingestion.\n 129→type decodeState struct {\n 130→\t// metricBuf holds a copy of the current measurement name (line-protocol\n 131→\t// measurement field). Copied because dec.Measurement() returns a slice\n 132→\t// that is invalidated by the next decoder call.\n 133→\tmetricBuf []byte\n 134→\n 135→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n 136→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n 137→\tselector []string\n 138→\n 139→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n 140→\t// current line. Reset at the start of each line's tag-decode loop.\n 141→\ttypeBuf []byte\n 142→\n 143→\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n 144→\t// Reset at the start of each line's tag-decode loop.\n 145→\tsubTypeBuf []byte\n 146→\n 147→\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n 148→\t// string conversion. Because consecutive lines in a batch typically address\n 149→\t// the same sub-device, the cache hit rate is very high and avoids\n 150→\t// repeated []byte→string allocations.\n 151→\tprevTypeBytes []byte\n 152→\tprevTypeStr string\n 153→\n 154→\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n 155→\tprevSubTypeBytes []byte\n 156→\tprevSubTypeStr string\n 157→}\n 158→\n 159→// decodeStatePool recycles decodeState values across DecodeLine calls to\n 160→// reduce GC pressure during sustained metric ingestion.\n 161→var decodeStatePool = sync.Pool{\n 162→\tNew: func() any {\n 163→\t\treturn &decodeState{\n 164→\t\t\tmetricBuf: make([]byte, 0, 16),\n 165→\t\t\tselector: make([]string, 0, 4),\n 166→\t\t\ttypeBuf: make([]byte, 0, 16),\n 167→\t\t\tsubTypeBuf: make([]byte, 0, 16),\n 168→\t\t}\n 169→\t},\n 170→}\n 171→\n 172→// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n 173→// decoded metric sample into ms.\n 174→//\n 175→// clusterDefault is used as the cluster name for lines that do not carry a\n 176→// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n 177→// subscription configuration.\n 178→//\n 179→// Performance notes:\n 180→// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n 181→// - The Level pointer (host-level node in the metric tree) is cached across\n 182→// consecutive lines that share the same cluster+host pair to avoid\n 183→// repeated lock acquisitions on the root and cluster levels.\n 184→// - []byte→string conversions for type/subtype selectors are cached via\n 185→// prevType*/prevSubType* fields because batches typically repeat the same\n 186→// sub-device identifiers.\n 187→// - Timestamp parsing tries Second precision first; if that fails it retries\n 188→// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n 189→// falls back to time.Now().\n 190→//\n 191→// When the checkpoint format is \"wal\" each successfully decoded sample is also\n 192→// sent to WALMessages so the WAL staging goroutine can persist it durably\n 193→// before the next binary snapshot.\n 194→func DecodeLine(dec *lineprotocol.Decoder,\n 195→\tms *MemoryStore,\n 196→\tclusterDefault string,\n 197→) error {\n 198→\t// Reduce allocations in loop:\n 199→\tt := time.Now()\n 200→\tmetric := Metric{}\n 201→\tst := decodeStatePool.Get().(*decodeState)\n 202→\tdefer decodeStatePool.Put(st)\n 203→\n 204→\t// Optimize for the case where all lines in a \"batch\" are about the same\n 205→\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n 206→\t// to take the root- and cluster-level lock as often.\n 207→\tvar lvl *Level = nil\n 208→\tprevCluster, prevHost := \"\", \"\"\n 209→\n 210→\tvar ok bool\n 211→\tfor dec.Next() {\n 212→\t\trawmeasurement, err := dec.Measurement()\n 213→\t\tif err != nil {\n 214→\t\t\treturn err\n 215→\t\t}\n 216→\n 217→\t\t// Needs to be copied because another call to dec.* would\n 218→\t\t// invalidate the returned slice.\n 219→\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n 220→\n 221→\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n 222→\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n 223→\t\tif !ok {\n 224→\t\t\tcontinue\n 225→\t\t}\n 226→\n 227→\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n 228→\t\tcluster, host := clusterDefault, \"\"\n 229→\t\tfor {\n 230→\t\t\tkey, val, err := dec.NextTag()\n 231→\t\t\tif err != nil {\n 232→\t\t\t\treturn err\n 233→\t\t\t}\n 234→\t\t\tif key == nil {\n 235→\t\t\t\tbreak\n 236→\t\t\t}\n 237→\n 238→\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n 239→\t\t\tswitch string(key) {\n 240→\t\t\tcase \"cluster\":\n 241→\t\t\t\tif string(val) == prevCluster {\n 242→\t\t\t\t\tcluster = prevCluster\n 243→\t\t\t\t} else {\n 244→\t\t\t\t\tcluster = string(val)\n 245→\t\t\t\t\tlvl = nil\n 246→\t\t\t\t}\n 247→\t\t\tcase \"hostname\", \"host\":\n 248→\t\t\t\tif string(val) == prevHost {\n 249→\t\t\t\t\thost = prevHost\n 250→\t\t\t\t} else {\n 251→\t\t\t\t\thost = string(val)\n 252→\t\t\t\t\tlvl = nil\n 253→\t\t\t\t}\n 254→\t\t\tcase \"type\":\n 255→\t\t\t\tif string(val) == \"node\" {\n 256→\t\t\t\t\tbreak\n 257→\t\t\t\t}\n 258→\n 259→\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n 260→\t\t\t\tif len(st.typeBuf) == 0 {\n 261→\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n 262→\t\t\t\t} else {\n 263→\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n 264→\t\t\t\t}\n 265→\t\t\tcase \"type-id\":\n 266→\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n 267→\t\t\tcase \"subtype\":\n 268→\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n 269→\t\t\t\tif len(st.subTypeBuf) == 0 {\n 270→\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n 271→\t\t\t\t} else {\n 272→\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n 273→\t\t\t\t}\n 274→\t\t\tcase \"stype-id\":\n 275→\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n 276→\t\t\tdefault:\n 277→\t\t\t}\n 278→\t\t}\n 279→\n 280→\t\t// If the cluster or host changed, the lvl was set to nil\n 281→\t\tif lvl == nil {\n 282→\t\t\tst.selector = st.selector[:2]\n 283→\t\t\tst.selector[0], st.selector[1] = cluster, host\n 284→\t\t\tlvl = ms.GetLevel(st.selector)\n 285→\t\t\tprevCluster, prevHost = cluster, host\n 286→\t\t}\n 287→\n 288→\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n 289→\t\t// share the same type/subtype so the hit rate is very high.\n 290→\t\tst.selector = st.selector[:0]\n 291→\t\tif len(st.typeBuf) > 0 {\n 292→\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n 293→\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n 294→\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n 295→\t\t\t}\n 296→\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n 297→\t\t\tif len(st.subTypeBuf) > 0 {\n 298→\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n 299→\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n 300→\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n 301→\t\t\t\t}\n 302→\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n 303→\t\t\t}\n 304→\t\t}\n 305→\n 306→\t\tfor {\n 307→\t\t\tkey, val, err := dec.NextField()\n 308→\t\t\tif err != nil {\n 309→\t\t\t\treturn err\n 310→\t\t\t}\n 311→\n 312→\t\t\tif key == nil {\n 313→\t\t\t\tbreak\n 314→\t\t\t}\n 315→\n 316→\t\t\tif string(key) != \"value\" {\n 317→\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n 318→\t\t\t}\n 319→\n 320→\t\t\tif val.Kind() == lineprotocol.Float {\n 321→\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n 322→\t\t\t} else if val.Kind() == lineprotocol.Int {\n 323→\t\t\t\tmetric.Value = schema.Float(val.IntV())\n 324→\t\t\t} else if val.Kind() == lineprotocol.Uint {\n 325→\t\t\t\tmetric.Value = schema.Float(val.UintV())\n 326→\t\t\t} else {\n 327→\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n 328→\t\t\t}\n 329→\t\t}\n 330→\n 331→\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n 332→\t\t\tt = time.Now()\n 333→\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n 334→\t\t\t\tt = time.Now()\n 335→\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n 336→\t\t\t\t\tt = time.Now()\n 337→\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n 338→\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n 339→\t\t\t\t\t}\n 340→\t\t\t\t}\n 341→\t\t\t}\n 342→\t\t}\n 343→\n 344→\t\tif err != nil {\n 345→\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n 346→\t\t}\n 347→\n 348→\t\ttime := t.Unix()\n 349→\n 350→\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 351→\t\t\tWALMessages <- &WALMessage{\n 352→\t\t\t\tMetricName: string(st.metricBuf),\n 353→\t\t\t\tCluster: cluster,\n 354→\t\t\t\tNode: host,\n 355→\t\t\t\tSelector: append([]string{}, st.selector...),\n 356→\t\t\t\tValue: metric.Value,\n 357→\t\t\t\tTimestamp: time,\n 358→\t\t\t}\n 359→\t\t}\n 360→\n 361→\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n 362→\t\t\treturn err\n 363→\t\t}\n 364→\t}\n 365→\treturn nil\n 366→}\n 367→"}]},"uuid":"86ae12ed-29df-49e4-b55a-f8bef65401d0","timestamp":"2026-03-13T06:51:39.255Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n// 1. Written to the in-memory store via ms.WriteToLevel.\n// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n// goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type\" and \"subtype\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf: make([]byte, 0, 16),\n\t\t\tselector: make([]string, 0, 4),\n\t\t\ttypeBuf: make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n// - The Level pointer (host-level node in the metric tree) is cached across\n// consecutive lines that share the same cluster+host pair to avoid\n// repeated lock acquisitions on the root and cluster levels.\n// - []byte→string conversions for type/subtype selectors are cached via\n// prevType*/prevSubType* fields because batches typically repeat the same\n// sub-device identifiers.\n// - Timestamp parsing tries Second precision first; if that fails it retries\n// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n// falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster: cluster,\n\t\t\t\tNode: host,\n\t\t\t\tSelector: append([]string{}, st.selector...),\n\t\t\t\tValue: metric.Value,\n\t\t\t\tTimestamp: time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":367,"startLine":1,"totalLines":367}},"sourceToolAssistantUUID":"e77a0811-b490-4192-92c6-cdb285981ce5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"86ae12ed-29df-49e4-b55a-f8bef65401d0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JAQD1WnGapbNbL9C3hopCB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","timestamp":"2026-03-13T06:51:39.707Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JAQD1WnGapbNbL9C3hopCB","toolUseID":"toolu_01JAQD1WnGapbNbL9C3hopCB","timestamp":"2026-03-13T06:51:39.714Z","uuid":"f0688715-d064-4b56-8609-78937e42856d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JAQD1WnGapbNbL9C3hopCB","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n 7→//\n 8→// # Level Architecture\n 9→//\n 10→// The Level type forms a tree structure where each node represents a level in the\n 11→// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n 12→// nodes for memory domains and accelerators.\n 13→//\n 14→// Structure:\n 15→//\n 16→//\tRoot Level (cluster=\"emmy\")\n 17→//\t├─ Level (host=\"node001\")\n 18→//\t│ ├─ Level (socket=\"0\")\n 19→//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n 20→//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n 21→//\t│ └─ Level (socket=\"1\")\n 22→//\t│ └─ ...\n 23→//\t└─ Level (host=\"node002\")\n 24→//\t └─ ...\n 25→//\n 26→// Each Level can:\n 27→// - Hold data (metrics slice of buffer pointers)\n 28→// - Have child nodes (children map[string]*Level)\n 29→// - Both simultaneously (inner nodes can store aggregated metrics)\n 30→//\n 31→// # Selector Paths\n 32→//\n 33→// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n 34→// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n 35→//\n 36→// # Concurrency\n 37→//\n 38→// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n 39→// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n 40→// prevents races during level creation.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"sync\"\n 45→\t\"time\"\n 46→\t\"unsafe\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 50→)\n 51→\n 52→// Level represents a node in the hierarchical metric storage tree.\n 53→//\n 54→// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n 55→// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n 56→// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n 57→//\n 58→// Fields:\n 59→// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n 60→// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n 61→// - lock: RWMutex for concurrent access (read-heavy, write-rare)\n 62→type Level struct {\n 63→\tchildren map[string]*Level\n 64→\tmetrics []*buffer\n 65→\tlock sync.RWMutex\n 66→}\n 67→\n 68→// findLevelOrCreate navigates to or creates the level specified by selector.\n 69→//\n 70→// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n 71→// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n 72→// re-check after acquiring Lock to handle races.\n 73→//\n 74→// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n 75→// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n 76→//\n 77→// Parameters:\n 78→// - selector: Hierarchical path (consumed recursively, decreasing depth)\n 79→// - nMetrics: Number of metric slots to allocate in new levels\n 80→//\n 81→// Returns:\n 82→// - *Level: The target level (existing or newly created)\n 83→//\n 84→// Note: sync.Map may improve performance for high-concurrency writes, but current\n 85→// approach suffices for read-heavy workload.\n 86→func (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n 87→\tif len(selector) == 0 {\n 88→\t\treturn l\n 89→\t}\n 90→\n 91→\t// Allow concurrent reads:\n 92→\tl.lock.RLock()\n 93→\tvar child *Level\n 94→\tvar ok bool\n 95→\tif l.children == nil {\n 96→\t\t// Children map needs to be created...\n 97→\t\tl.lock.RUnlock()\n 98→\t} else {\n 99→\t\tchild, ok = l.children[selector[0]]\n 100→\t\tl.lock.RUnlock()\n 101→\t\tif ok {\n 102→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 103→\t\t}\n 104→\t}\n 105→\n 106→\t// The level does not exist, take write lock for unique access:\n 107→\tl.lock.Lock()\n 108→\t// While this thread waited for the write lock, another thread\n 109→\t// could have created the child node.\n 110→\tif l.children != nil {\n 111→\t\tchild, ok = l.children[selector[0]]\n 112→\t\tif ok {\n 113→\t\t\tl.lock.Unlock()\n 114→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 115→\t\t}\n 116→\t}\n 117→\n 118→\tchild = &Level{\n 119→\t\tmetrics: make([]*buffer, nMetrics),\n 120→\t\tchildren: nil,\n 121→\t}\n 122→\n 123→\tif l.children != nil {\n 124→\t\tl.children[selector[0]] = child\n 125→\t} else {\n 126→\t\tl.children = map[string]*Level{selector[0]: child}\n 127→\t}\n 128→\tl.lock.Unlock()\n 129→\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 130→}\n 131→\n 132→// collectPaths gathers all selector paths at the specified depth in the tree.\n 133→//\n 134→// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n 135→// Each path is a selector that can be used with findLevel() or findBuffers().\n 136→//\n 137→// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n 138→// unintended mutations.\n 139→//\n 140→// Parameters:\n 141→// - currentDepth: Depth of current level (0 = root)\n 142→// - targetDepth: Depth to collect paths from\n 143→// - currentPath: Path accumulated so far\n 144→// - results: Output slice (appended to)\n 145→//\n 146→// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n 147→// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\n 148→func (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n 149→\tl.lock.RLock()\n 150→\tdefer l.lock.RUnlock()\n 151→\n 152→\tfor key, child := range l.children {\n 153→\t\tif child == nil {\n 154→\t\t\tcontinue\n 155→\t\t}\n 156→\n 157→\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n 158→\t\tnewPath := make([]string, len(currentPath))\n 159→\t\tcopy(newPath, currentPath)\n 160→\t\tnewPath = append(newPath, key)\n 161→\n 162→\t\t// Check depth, and just return if depth reached\n 163→\t\tif currentDepth+1 == targetDepth {\n 164→\t\t\t*results = append(*results, newPath)\n 165→\t\t} else {\n 166→\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n 167→\t\t}\n 168→\t}\n 169→}\n 170→\n 171→// free removes buffers older than the retention threshold from the entire subtree.\n 172→//\n 173→// Recursively frees buffers in this level's metrics and all child levels. Buffers\n 174→// with standard capacity (BufferCap) are returned to the pool. Called by the\n 175→// retention worker to enforce retention policies.\n 176→//\n 177→// Parameters:\n 178→// - t: Retention threshold timestamp (Unix seconds)\n 179→//\n 180→// Returns:\n 181→// - int: Total number of buffers freed in this subtree\n 182→// - error: Non-nil on failure (propagated from children)\n 183→func (l *Level) free(t int64) (int, error) {\n 184→\tl.lock.Lock()\n 185→\tdefer l.lock.Unlock()\n 186→\n 187→\tn := 0\n 188→\tfor i, b := range l.metrics {\n 189→\t\tif b != nil {\n 190→\t\t\tdelme, m := b.free(t)\n 191→\t\t\tn += m\n 192→\t\t\tif delme {\n 193→\t\t\t\tif cap(b.data) != BufferCap {\n 194→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 195→\t\t\t\t}\n 196→\t\t\t\tb.lastUsed = time.Now().Unix()\n 197→\t\t\t\tbufferPool.Put(b)\n 198→\t\t\t\tl.metrics[i] = nil\n 199→\t\t\t}\n 200→\t\t}\n 201→\t}\n 202→\n 203→\tfor _, l := range l.children {\n 204→\t\tm, err := l.free(t)\n 205→\t\tn += m\n 206→\t\tif err != nil {\n 207→\t\t\treturn n, err\n 208→\t\t}\n 209→\t}\n 210→\n 211→\treturn n, nil\n 212→}\n 213→\n 214→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 215→//\n 216→// Unlike free(), which removes based on time threshold, this unconditionally removes\n 217→// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n 218→// exceeded and time-based retention is insufficient.\n 219→//\n 220→// Recursively processes current level's metrics and all child levels.\n 221→//\n 222→// Returns:\n 223→// - int: Total number of buffers freed in this subtree\n 224→// - error: Non-nil on failure (propagated from children)\n 225→func (l *Level) forceFree() (int, error) {\n 226→\tl.lock.Lock()\n 227→\tdefer l.lock.Unlock()\n 228→\n 229→\tn := 0\n 230→\n 231→\t// Iterate over metrics in the current level\n 232→\tfor i, b := range l.metrics {\n 233→\t\tif b != nil {\n 234→\t\t\t// Attempt to free the oldest buffer in this chain\n 235→\t\t\tdelme, freedCount := b.forceFreeOldest()\n 236→\t\t\tn += freedCount\n 237→\n 238→\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n 239→\t\t\t// and needs to be removed from the slice.\n 240→\t\t\tif delme {\n 241→\t\t\t\tb.next = nil\n 242→\t\t\t\tb.prev = nil\n 243→\t\t\t\tif cap(b.data) != BufferCap {\n 244→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 245→\t\t\t\t}\n 246→\t\t\t\tb.lastUsed = time.Now().Unix()\n 247→\t\t\t\tbufferPool.Put(b)\n 248→\t\t\t\tl.metrics[i] = nil\n 249→\t\t\t}\n 250→\t\t}\n 251→\t}\n 252→\n 253→\t// Recursively traverse children\n 254→\tfor _, child := range l.children {\n 255→\t\tm, err := child.forceFree()\n 256→\t\tn += m\n 257→\t\tif err != nil {\n 258→\t\t\treturn n, err\n 259→\t\t}\n 260→\t}\n 261→\n 262→\treturn n, nil\n 263→}\n 264→\n 265→// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n 266→//\n 267→// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n 268→// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n 269→// memory cap limits.\n 270→//\n 271→// Returns:\n 272→// - int64: Total bytes used by buffer data in this subtree\n 273→func (l *Level) sizeInBytes() int64 {\n 274→\tl.lock.RLock()\n 275→\tdefer l.lock.RUnlock()\n 276→\tsize := int64(0)\n 277→\n 278→\tfor _, b := range l.metrics {\n 279→\t\tif b != nil {\n 280→\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n 281→\t\t}\n 282→\t}\n 283→\n 284→\tfor _, child := range l.children {\n 285→\t\tsize += child.sizeInBytes()\n 286→\t}\n 287→\n 288→\treturn size\n 289→}\n 290→\n 291→// findLevel navigates to the level specified by selector, returning nil if not found.\n 292→//\n 293→// Read-only variant of findLevelOrCreate. Does not create missing levels.\n 294→// Recursively descends the tree following the selector path.\n 295→//\n 296→// Parameters:\n 297→// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n 298→//\n 299→// Returns:\n 300→// - *Level: The target level, or nil if any component in the path does not exist\n 301→func (l *Level) findLevel(selector []string) *Level {\n 302→\tif len(selector) == 0 {\n 303→\t\treturn l\n 304→\t}\n 305→\n 306→\tl.lock.RLock()\n 307→\tdefer l.lock.RUnlock()\n 308→\n 309→\tlvl := l.children[selector[0]]\n 310→\tif lvl == nil {\n 311→\t\treturn nil\n 312→\t}\n 313→\n 314→\treturn lvl.findLevel(selector[1:])\n 315→}\n 316→\n 317→// findBuffers invokes callback on all buffers matching the selector pattern.\n 318→//\n 319→// Supports flexible selector patterns (from cc-lib/util.Selector):\n 320→// - Exact match: Selector element with String set (e.g., \"node001\")\n 321→// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n 322→// - Wildcard: Selector element with Any=true (matches all children)\n 323→//\n 324→// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n 325→// all descendant buffers at the same offset (used for aggregation queries).\n 326→//\n 327→// Parameters:\n 328→// - selector: Pattern to match (consumed recursively)\n 329→// - offset: Metric index in metrics slice (from MetricConfig.offset)\n 330→// - f: Callback invoked on each matching buffer\n 331→//\n 332→// Returns:\n 333→// - error: First error returned by callback, or nil if all succeeded\n 334→//\n 335→// Example:\n 336→//\n 337→//\t// Find all cpu0 buffers across all hosts:\n 338→//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\n 339→func (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n 340→\tl.lock.RLock()\n 341→\tdefer l.lock.RUnlock()\n 342→\n 343→\tif len(selector) == 0 {\n 344→\t\tb := l.metrics[offset]\n 345→\t\tif b != nil {\n 346→\t\t\treturn f(b)\n 347→\t\t}\n 348→\n 349→\t\tfor _, lvl := range l.children {\n 350→\t\t\terr := lvl.findBuffers(nil, offset, f)\n 351→\t\t\tif err != nil {\n 352→\t\t\t\treturn err\n 353→\t\t\t}\n 354→\t\t}\n 355→\t\treturn nil\n 356→\t}\n 357→\n 358→\tsel := selector[0]\n 359→\tif len(sel.String) != 0 && l.children != nil {\n 360→\t\tlvl, ok := l.children[sel.String]\n 361→\t\tif ok {\n 362→\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 363→\t\t\tif err != nil {\n 364→\t\t\t\treturn err\n 365→\t\t\t}\n 366→\t\t}\n 367→\t\treturn nil\n 368→\t}\n 369→\n 370→\tif sel.Group != nil && l.children != nil {\n 371→\t\tfor _, key := range sel.Group {\n 372→\t\t\tlvl, ok := l.children[key]\n 373→\t\t\tif ok {\n 374→\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 375→\t\t\t\tif err != nil {\n 376→\t\t\t\t\treturn err\n 377→\t\t\t\t}\n 378→\t\t\t}\n 379→\t\t}\n 380→\t\treturn nil\n 381→\t}\n 382→\n 383→\tif sel.Any && l.children != nil {\n 384→\t\tfor _, lvl := range l.children {\n 385→\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n 386→\t\t\t\treturn err\n 387→\t\t\t}\n 388→\t\t}\n 389→\t\treturn nil\n 390→\t}\n 391→\n 392→\treturn nil\n 393→}\n 394→"}]},"uuid":"0a4e3ab3-23c6-401d-8326-064ff842407b","timestamp":"2026-03-13T06:51:39.714Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","numLines":394,"startLine":1,"totalLines":394}},"sourceToolAssistantUUID":"c9c1e733-70ea-45bf-8b1c-0af084380e92","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0a4e3ab3-23c6-401d-8326-064ff842407b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N58SqTvoihL8LCJnL8EAKP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"output_tokens":374,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4536,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"46ca9b63-5718-455b-abef-764e1ad29322","timestamp":"2026-03-13T06:51:39.738Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"46ca9b63-5718-455b-abef-764e1ad29322","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01N58SqTvoihL8LCJnL8EAKP","toolUseID":"toolu_01N58SqTvoihL8LCJnL8EAKP","timestamp":"2026-03-13T06:51:39.743Z","uuid":"83bedfe3-dc88-4705-bb59-9d7516cca22e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"46ca9b63-5718-455b-abef-764e1ad29322","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N58SqTvoihL8LCJnL8EAKP","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides buffer.go: Time-series data buffer implementation.\n 7→//\n 8→// # Buffer Architecture\n 9→//\n 10→// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n 11→// chain of fixed-size buffers to store time-series data. This design:\n 12→//\n 13→// - Avoids reallocation/copying when growing (new links added instead)\n 14→// - Enables efficient pooling (buffers returned to sync.Pool)\n 15→// - Supports traversal back in time (via prev pointers)\n 16→// - Maintains temporal ordering (newer data in later buffers)\n 17→//\n 18→// # Buffer Chain Example\n 19→//\n 20→//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n 21→//\t start=1000 start=1512 start=2024\n 22→//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n 23→//\n 24→// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n 25→// the new head and the old head is linked via prev.\n 26→//\n 27→// # Pooling Strategy\n 28→//\n 29→// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n 30→// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n 31→//\n 32→// # Time Alignment\n 33→//\n 34→// Timestamps are aligned to measurement frequency intervals:\n 35→//\n 36→//\tindex = (timestamp - buffer.start) / buffer.frequency\n 37→//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n 38→//\n 39→// Missing data points are represented as NaN values. The read() function performs\n 40→// linear interpolation where possible.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"errors\"\n 45→\t\"sync\"\n 46→\t\"time\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→)\n 50→\n 51→// BufferCap is the default buffer capacity.\n 52→// buffer.data will only ever grow up to its capacity and a new link\n 53→// in the buffer chain will be created if needed so that no copying\n 54→// of data or reallocation needs to happen on writes.\n 55→const BufferCap int = DefaultBufferCapacity\n 56→\n 57→// BufferPool is the global instance.\n 58→// It is initialized immediately when the package loads.\n 59→var bufferPool = NewPersistentBufferPool()\n 60→\n 61→type PersistentBufferPool struct {\n 62→\tpool []*buffer\n 63→\tmu sync.Mutex\n 64→}\n 65→\n 66→// NewPersistentBufferPool creates a dynamic pool for buffers.\n 67→func NewPersistentBufferPool() *PersistentBufferPool {\n 68→\treturn &PersistentBufferPool{\n 69→\t\tpool: make([]*buffer, 0),\n 70→\t}\n 71→}\n 72→\n 73→func (p *PersistentBufferPool) Get() *buffer {\n 74→\tp.mu.Lock()\n 75→\tdefer p.mu.Unlock()\n 76→\n 77→\tn := len(p.pool)\n 78→\tif n == 0 {\n 79→\t\t// Pool is empty, allocate a new one\n 80→\t\treturn &buffer{\n 81→\t\t\tdata: make([]schema.Float, 0, BufferCap),\n 82→\t\t}\n 83→\t}\n 84→\n 85→\t// Reuse existing buffer from the pool\n 86→\tb := p.pool[n-1]\n 87→\tp.pool[n-1] = nil // Avoid memory leak\n 88→\tp.pool = p.pool[:n-1]\n 89→\treturn b\n 90→}\n 91→\n 92→// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n 93→// before calling Put so that Clean() can evict idle entries correctly.\n 94→func (p *PersistentBufferPool) Put(b *buffer) {\n 95→\t// Reset the buffer before putting it back\n 96→\tb.data = b.data[:0]\n 97→\n 98→\tp.mu.Lock()\n 99→\tdefer p.mu.Unlock()\n 100→\n 101→\tp.pool = append(p.pool, b)\n 102→}\n 103→\n 104→// GetSize returns the exact number of buffers currently sitting in the pool.\n 105→func (p *PersistentBufferPool) GetSize() int {\n 106→\tp.mu.Lock()\n 107→\tdefer p.mu.Unlock()\n 108→\treturn len(p.pool)\n 109→}\n 110→\n 111→// Clear drains all buffers currently in the pool, allowing the GC to collect them.\n 112→func (p *PersistentBufferPool) Clear() {\n 113→\tp.mu.Lock()\n 114→\tdefer p.mu.Unlock()\n 115→\tfor i := range p.pool {\n 116→\t\tp.pool[i] = nil\n 117→\t}\n 118→\tp.pool = p.pool[:0]\n 119→}\n 120→\n 121→// Clean removes buffers from the pool that haven't been used in the given duration.\n 122→// It uses a simple LRU approach based on the lastUsed timestamp.\n 123→func (p *PersistentBufferPool) Clean(threshold int64) {\n 124→\tp.mu.Lock()\n 125→\tdefer p.mu.Unlock()\n 126→\n 127→\t// Filter in place, retaining only buffers returned to the pool recently enough.\n 128→\tactive := p.pool[:0]\n 129→\tfor _, b := range p.pool {\n 130→\t\tif b.lastUsed >= threshold {\n 131→\t\t\tactive = append(active, b)\n 132→\t\t}\n 133→\t}\n 134→\n 135→\t// Nullify the rest to prevent memory leaks\n 136→\tfor i := len(active); i < len(p.pool); i++ {\n 137→\t\tp.pool[i] = nil\n 138→\t}\n 139→\n 140→\tp.pool = active\n 141→}\n 142→\n 143→var (\n 144→\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n 145→\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n 146→\n 147→\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n 148→\t// does not align with the parent scope's expected timestamps/intervals.\n 149→\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n 150→)\n 151→\n 152→// buffer stores time-series data for a single metric at a specific hierarchical level.\n 153→//\n 154→// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n 155→// a new buffer becomes the head and the old head is linked via prev/next.\n 156→//\n 157→// Fields:\n 158→// - prev: Link to older buffer in the chain (nil if this is oldest)\n 159→// - next: Link to newer buffer in the chain (nil if this is newest/head)\n 160→// - data: Time-series values (schema.Float supports NaN for missing data)\n 161→// - frequency: Measurement interval in seconds\n 162→// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n 163→// - archived: True if data has been persisted to disk archive\n 164→// - closed: True if buffer is no longer accepting writes\n 165→//\n 166→// Index calculation: index = (timestamp - start) / frequency\n 167→// Actual data timestamp: start + (frequency / 2) + (index * frequency)\n 168→type buffer struct {\n 169→\tprev *buffer\n 170→\tnext *buffer\n 171→\tdata []schema.Float\n 172→\tfrequency int64\n 173→\tstart int64\n 174→\tarchived bool\n 175→\tclosed bool\n 176→\tlastUsed int64\n 177→}\n 178→\n 179→func newBuffer(ts, freq int64) *buffer {\n 180→\tb := bufferPool.Get()\n 181→\tb.frequency = freq\n 182→\tb.start = ts - (freq / 2)\n 183→\tb.prev = nil\n 184→\tb.next = nil\n 185→\tb.archived = false\n 186→\tb.closed = false\n 187→\tb.data = b.data[:0]\n 188→\treturn b\n 189→}\n 190→\n 191→// write appends a timestamped value to the buffer chain.\n 192→//\n 193→// Returns the head buffer (which may be newly created if capacity was reached).\n 194→// Timestamps older than the buffer's start are rejected. If the calculated index\n 195→// exceeds capacity, a new buffer is allocated and linked as the new head.\n 196→//\n 197→// Missing timestamps are automatically filled with NaN values to maintain alignment.\n 198→// Overwrites are allowed if the index is already within the existing data slice.\n 199→//\n 200→// Parameters:\n 201→// - ts: Unix timestamp in seconds\n 202→// - value: Metric value (can be schema.NaN for missing data)\n 203→//\n 204→// Returns:\n 205→// - *buffer: The new head buffer (same as b if no new buffer created)\n 206→// - error: Non-nil if timestamp is before buffer start\n 207→func (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n 208→\tif ts < b.start {\n 209→\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n 210→\t}\n 211→\n 212→\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n 213→\tidx := int((ts - b.start) / b.frequency)\n 214→\tif idx >= cap(b.data) {\n 215→\t\tnewbuf := newBuffer(ts, b.frequency)\n 216→\t\tnewbuf.prev = b\n 217→\t\tb.next = newbuf\n 218→\t\tb = newbuf\n 219→\t\tidx = 0\n 220→\t}\n 221→\n 222→\t// Overwriting value or writing value from past\n 223→\tif idx < len(b.data) {\n 224→\t\tb.data[idx] = value\n 225→\t\treturn b, nil\n 226→\t}\n 227→\n 228→\t// Fill up unwritten slots with NaN\n 229→\tfor i := len(b.data); i < idx; i++ {\n 230→\t\tb.data = append(b.data, schema.NaN)\n 231→\t}\n 232→\n 233→\tb.data = append(b.data, value)\n 234→\treturn b, nil\n 235→}\n 236→\n 237→func (b *buffer) end() int64 {\n 238→\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n 239→}\n 240→\n 241→func (b *buffer) firstWrite() int64 {\n 242→\treturn b.start + (b.frequency / 2)\n 243→}\n 244→\n 245→// read retrieves time-series data from the buffer chain for the specified time range.\n 246→//\n 247→// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n 248→// buffer's start. Missing data points are represented as NaN. Values are accumulated\n 249→// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n 250→//\n 251→// The function adjusts the actual time range returned if data is unavailable at the\n 252→// boundaries (returned via adjusted from/to timestamps).\n 253→//\n 254→// Parameters:\n 255→// - from: Start timestamp (Unix seconds)\n 256→// - to: End timestamp (Unix seconds, exclusive)\n 257→// - data: Pre-allocated slice to accumulate results (must be large enough)\n 258→//\n 259→// Returns:\n 260→// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n 261→// - int64: Actual start timestamp with available data\n 262→// - int64: Actual end timestamp (exclusive)\n 263→// - error: Non-nil on failure\n 264→//\n 265→// Panics if 'data' slice is too small to hold all values in [from, to).\n 266→func (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n 267→\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n 268→\tfor from < b.firstWrite() {\n 269→\t\tif b.prev == nil {\n 270→\t\t\tfrom = b.firstWrite()\n 271→\t\t\tbreak\n 272→\t\t}\n 273→\t\tb = b.prev\n 274→\t}\n 275→\n 276→\ti := 0\n 277→\tt := from\n 278→\tfor ; t < to; t += b.frequency {\n 279→\t\tidx := int((t - b.start) / b.frequency)\n 280→\t\tif idx >= cap(b.data) {\n 281→\t\t\tif b.next == nil {\n 282→\t\t\t\tbreak\n 283→\t\t\t}\n 284→\t\t\tb = b.next\n 285→\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n 286→\t\t\tidx = int((t - b.start) / b.frequency)\n 287→\t\t}\n 288→\n 289→\t\tif idx >= len(b.data) {\n 290→\t\t\tif b.next == nil || to <= b.next.start {\n 291→\t\t\t\tbreak\n 292→\t\t\t}\n 293→\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n 294→\t\t} else if t < b.start {\n 295→\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n 296→\t\t} else {\n 297→\t\t\tdata[i] += b.data[idx]\n 298→\t\t}\n 299→\t\ti++\n 300→\t}\n 301→\n 302→\treturn data[:i], from, t, nil\n 303→}\n 304→\n 305→// free removes buffers older than the specified timestamp from the chain.\n 306→//\n 307→// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n 308→// is before the retention threshold. Freed buffers are returned to the pool if\n 309→// they have the standard capacity (BufferCap).\n 310→//\n 311→// Parameters:\n 312→// - t: Retention threshold timestamp (Unix seconds)\n 313→//\n 314→// Returns:\n 315→// - delme: True if the current buffer itself should be deleted by caller\n 316→// - n: Number of buffers freed in this subtree\n 317→func (b *buffer) free(t int64) (delme bool, n int) {\n 318→\tif b.prev != nil {\n 319→\t\tdelme, m := b.prev.free(t)\n 320→\t\tn += m\n 321→\t\tif delme {\n 322→\t\t\tb.prev.next = nil\n 323→\t\t\tif cap(b.prev.data) != BufferCap {\n 324→\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n 325→\t\t\t}\n 326→\t\t\tb.prev.lastUsed = time.Now().Unix()\n 327→\t\t\tbufferPool.Put(b.prev)\n 328→\t\t\tb.prev = nil\n 329→\t\t}\n 330→\t}\n 331→\n 332→\tend := b.end()\n 333→\tif end < t {\n 334→\t\treturn true, n + 1\n 335→\t}\n 336→\n 337→\treturn false, n\n 338→}\n 339→\n 340→// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n 341→// and removes it.\n 342→// Returns:\n 343→//\n 344→//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n 345→//\tn: the number of buffers freed (will be 1 or 0)\n 346→func (b *buffer) forceFreeOldest() (delme bool, n int) {\n 347→\t// If there is a previous buffer, recurse down to find the oldest\n 348→\tif b.prev != nil {\n 349→\t\tdelPrev, freed := b.prev.forceFreeOldest()\n 350→\n 351→\t\t// If the previous buffer signals it should be deleted:\n 352→\t\tif delPrev {\n 353→\t\t\tb.prev.next = nil\n 354→\t\t\tif cap(b.prev.data) != BufferCap {\n 355→\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n 356→\t\t\t}\n 357→\t\t\tb.prev.lastUsed = time.Now().Unix()\n 358→\t\t\tbufferPool.Put(b.prev)\n 359→\t\t\tb.prev = nil\n 360→\t\t}\n 361→\t\treturn false, freed\n 362→\t}\n 363→\n 364→\t// If b.prev is nil, THIS buffer is the oldest.\n 365→\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n 366→\treturn true, 1\n 367→}\n 368→\n 369→// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n 370→//\n 371→// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n 372→// the time range. Used for checkpoint/archive operations that need to serialize buffers\n 373→// within a specific time window.\n 374→//\n 375→// Parameters:\n 376→// - from: Start timestamp (Unix seconds, inclusive)\n 377→// - to: End timestamp (Unix seconds, inclusive)\n 378→// - callback: Function to invoke on each overlapping buffer\n 379→//\n 380→// Returns:\n 381→// - error: First error returned by callback, or nil if all succeeded\n 382→func (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n 383→\tif b == nil {\n 384→\t\treturn nil\n 385→\t}\n 386→\n 387→\t// Collect overlapping buffers walking backwards (newest → oldest).\n 388→\tvar matching []*buffer\n 389→\tfor cur := b; cur != nil; cur = cur.prev {\n 390→\t\tif from <= cur.end() && cur.start <= to {\n 391→\t\t\tmatching = append(matching, cur)\n 392→\t\t}\n 393→\t}\n 394→\n 395→\t// Invoke callback in chronological order (oldest → newest).\n 396→\tfor i := len(matching) - 1; i >= 0; i-- {\n 397→\t\tif err := callback(matching[i]); err != nil {\n 398→\t\t\treturn err\n 399→\t\t}\n 400→\t}\n 401→\treturn nil\n 402→}\n 403→\n 404→func (b *buffer) count() int64 {\n 405→\tvar res int64\n 406→\tfor ; b != nil; b = b.prev {\n 407→\t\tres += int64(len(b.data))\n 408→\t}\n 409→\treturn res\n 410→}\n 411→"}]},"uuid":"18dc95ba-de37-443a-a757-088fe0bc79b2","timestamp":"2026-03-13T06:51:39.743Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides buffer.go: Time-series data buffer implementation.\n//\n// # Buffer Architecture\n//\n// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n// chain of fixed-size buffers to store time-series data. This design:\n//\n// - Avoids reallocation/copying when growing (new links added instead)\n// - Enables efficient pooling (buffers returned to sync.Pool)\n// - Supports traversal back in time (via prev pointers)\n// - Maintains temporal ordering (newer data in later buffers)\n//\n// # Buffer Chain Example\n//\n//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n//\t start=1000 start=1512 start=2024\n//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n//\n// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n// the new head and the old head is linked via prev.\n//\n// # Pooling Strategy\n//\n// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n//\n// # Time Alignment\n//\n// Timestamps are aligned to measurement frequency intervals:\n//\n//\tindex = (timestamp - buffer.start) / buffer.frequency\n//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n//\n// Missing data points are represented as NaN values. The read() function performs\n// linear interpolation where possible.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// BufferCap is the default buffer capacity.\n// buffer.data will only ever grow up to its capacity and a new link\n// in the buffer chain will be created if needed so that no copying\n// of data or reallocation needs to happen on writes.\nconst BufferCap int = DefaultBufferCapacity\n\n// BufferPool is the global instance.\n// It is initialized immediately when the package loads.\nvar bufferPool = NewPersistentBufferPool()\n\ntype PersistentBufferPool struct {\n\tpool []*buffer\n\tmu sync.Mutex\n}\n\n// NewPersistentBufferPool creates a dynamic pool for buffers.\nfunc NewPersistentBufferPool() *PersistentBufferPool {\n\treturn &PersistentBufferPool{\n\t\tpool: make([]*buffer, 0),\n\t}\n}\n\nfunc (p *PersistentBufferPool) Get() *buffer {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tn := len(p.pool)\n\tif n == 0 {\n\t\t// Pool is empty, allocate a new one\n\t\treturn &buffer{\n\t\t\tdata: make([]schema.Float, 0, BufferCap),\n\t\t}\n\t}\n\n\t// Reuse existing buffer from the pool\n\tb := p.pool[n-1]\n\tp.pool[n-1] = nil // Avoid memory leak\n\tp.pool = p.pool[:n-1]\n\treturn b\n}\n\n// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n// before calling Put so that Clean() can evict idle entries correctly.\nfunc (p *PersistentBufferPool) Put(b *buffer) {\n\t// Reset the buffer before putting it back\n\tb.data = b.data[:0]\n\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tp.pool = append(p.pool, b)\n}\n\n// GetSize returns the exact number of buffers currently sitting in the pool.\nfunc (p *PersistentBufferPool) GetSize() int {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\treturn len(p.pool)\n}\n\n// Clear drains all buffers currently in the pool, allowing the GC to collect them.\nfunc (p *PersistentBufferPool) Clear() {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\tfor i := range p.pool {\n\t\tp.pool[i] = nil\n\t}\n\tp.pool = p.pool[:0]\n}\n\n// Clean removes buffers from the pool that haven't been used in the given duration.\n// It uses a simple LRU approach based on the lastUsed timestamp.\nfunc (p *PersistentBufferPool) Clean(threshold int64) {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\t// Filter in place, retaining only buffers returned to the pool recently enough.\n\tactive := p.pool[:0]\n\tfor _, b := range p.pool {\n\t\tif b.lastUsed >= threshold {\n\t\t\tactive = append(active, b)\n\t\t}\n\t}\n\n\t// Nullify the rest to prevent memory leaks\n\tfor i := len(active); i < len(p.pool); i++ {\n\t\tp.pool[i] = nil\n\t}\n\n\tp.pool = active\n}\n\nvar (\n\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n\n\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n\t// does not align with the parent scope's expected timestamps/intervals.\n\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n)\n\n// buffer stores time-series data for a single metric at a specific hierarchical level.\n//\n// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n// a new buffer becomes the head and the old head is linked via prev/next.\n//\n// Fields:\n// - prev: Link to older buffer in the chain (nil if this is oldest)\n// - next: Link to newer buffer in the chain (nil if this is newest/head)\n// - data: Time-series values (schema.Float supports NaN for missing data)\n// - frequency: Measurement interval in seconds\n// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n// - archived: True if data has been persisted to disk archive\n// - closed: True if buffer is no longer accepting writes\n//\n// Index calculation: index = (timestamp - start) / frequency\n// Actual data timestamp: start + (frequency / 2) + (index * frequency)\ntype buffer struct {\n\tprev *buffer\n\tnext *buffer\n\tdata []schema.Float\n\tfrequency int64\n\tstart int64\n\tarchived bool\n\tclosed bool\n\tlastUsed int64\n}\n\nfunc newBuffer(ts, freq int64) *buffer {\n\tb := bufferPool.Get()\n\tb.frequency = freq\n\tb.start = ts - (freq / 2)\n\tb.prev = nil\n\tb.next = nil\n\tb.archived = false\n\tb.closed = false\n\tb.data = b.data[:0]\n\treturn b\n}\n\n// write appends a timestamped value to the buffer chain.\n//\n// Returns the head buffer (which may be newly created if capacity was reached).\n// Timestamps older than the buffer's start are rejected. If the calculated index\n// exceeds capacity, a new buffer is allocated and linked as the new head.\n//\n// Missing timestamps are automatically filled with NaN values to maintain alignment.\n// Overwrites are allowed if the index is already within the existing data slice.\n//\n// Parameters:\n// - ts: Unix timestamp in seconds\n// - value: Metric value (can be schema.NaN for missing data)\n//\n// Returns:\n// - *buffer: The new head buffer (same as b if no new buffer created)\n// - error: Non-nil if timestamp is before buffer start\nfunc (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n\tif ts < b.start {\n\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n\t}\n\n\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n\tidx := int((ts - b.start) / b.frequency)\n\tif idx >= cap(b.data) {\n\t\tnewbuf := newBuffer(ts, b.frequency)\n\t\tnewbuf.prev = b\n\t\tb.next = newbuf\n\t\tb = newbuf\n\t\tidx = 0\n\t}\n\n\t// Overwriting value or writing value from past\n\tif idx < len(b.data) {\n\t\tb.data[idx] = value\n\t\treturn b, nil\n\t}\n\n\t// Fill up unwritten slots with NaN\n\tfor i := len(b.data); i < idx; i++ {\n\t\tb.data = append(b.data, schema.NaN)\n\t}\n\n\tb.data = append(b.data, value)\n\treturn b, nil\n}\n\nfunc (b *buffer) end() int64 {\n\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n}\n\nfunc (b *buffer) firstWrite() int64 {\n\treturn b.start + (b.frequency / 2)\n}\n\n// read retrieves time-series data from the buffer chain for the specified time range.\n//\n// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n// buffer's start. Missing data points are represented as NaN. Values are accumulated\n// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n//\n// The function adjusts the actual time range returned if data is unavailable at the\n// boundaries (returned via adjusted from/to timestamps).\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds)\n// - to: End timestamp (Unix seconds, exclusive)\n// - data: Pre-allocated slice to accumulate results (must be large enough)\n//\n// Returns:\n// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n// - int64: Actual start timestamp with available data\n// - int64: Actual end timestamp (exclusive)\n// - error: Non-nil on failure\n//\n// Panics if 'data' slice is too small to hold all values in [from, to).\nfunc (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n\tfor from < b.firstWrite() {\n\t\tif b.prev == nil {\n\t\t\tfrom = b.firstWrite()\n\t\t\tbreak\n\t\t}\n\t\tb = b.prev\n\t}\n\n\ti := 0\n\tt := from\n\tfor ; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tif b.next == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tb = b.next\n\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n\t\t\tidx = int((t - b.start) / b.frequency)\n\t\t}\n\n\t\tif idx >= len(b.data) {\n\t\t\tif b.next == nil || to <= b.next.start {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n\t\t} else if t < b.start {\n\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n\t\t} else {\n\t\t\tdata[i] += b.data[idx]\n\t\t}\n\t\ti++\n\t}\n\n\treturn data[:i], from, t, nil\n}\n\n// free removes buffers older than the specified timestamp from the chain.\n//\n// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n// is before the retention threshold. Freed buffers are returned to the pool if\n// they have the standard capacity (BufferCap).\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - delme: True if the current buffer itself should be deleted by caller\n// - n: Number of buffers freed in this subtree\nfunc (b *buffer) free(t int64) (delme bool, n int) {\n\tif b.prev != nil {\n\t\tdelme, m := b.prev.free(t)\n\t\tn += m\n\t\tif delme {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t}\n\n\tend := b.end()\n\tif end < t {\n\t\treturn true, n + 1\n\t}\n\n\treturn false, n\n}\n\n// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n// and removes it.\n// Returns:\n//\n//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n//\tn: the number of buffers freed (will be 1 or 0)\nfunc (b *buffer) forceFreeOldest() (delme bool, n int) {\n\t// If there is a previous buffer, recurse down to find the oldest\n\tif b.prev != nil {\n\t\tdelPrev, freed := b.prev.forceFreeOldest()\n\n\t\t// If the previous buffer signals it should be deleted:\n\t\tif delPrev {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t\treturn false, freed\n\t}\n\n\t// If b.prev is nil, THIS buffer is the oldest.\n\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n\treturn true, 1\n}\n\n// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n//\n// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n// the time range. Used for checkpoint/archive operations that need to serialize buffers\n// within a specific time window.\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds, inclusive)\n// - to: End timestamp (Unix seconds, inclusive)\n// - callback: Function to invoke on each overlapping buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\nfunc (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n\tif b == nil {\n\t\treturn nil\n\t}\n\n\t// Collect overlapping buffers walking backwards (newest → oldest).\n\tvar matching []*buffer\n\tfor cur := b; cur != nil; cur = cur.prev {\n\t\tif from <= cur.end() && cur.start <= to {\n\t\t\tmatching = append(matching, cur)\n\t\t}\n\t}\n\n\t// Invoke callback in chronological order (oldest → newest).\n\tfor i := len(matching) - 1; i >= 0; i-- {\n\t\tif err := callback(matching[i]); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n\nfunc (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n","numLines":411,"startLine":1,"totalLines":411}},"sourceToolAssistantUUID":"46ca9b63-5718-455b-abef-764e1ad29322","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"18dc95ba-de37-443a-a757-088fe0bc79b2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":29856},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"358f7334-4be3-4578-ab6d-e87436f37252","timestamp":"2026-03-13T06:51:45.286Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"358f7334-4be3-4578-ab6d-e87436f37252","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me implement all changes.\n\n**1. config.go** — Reduce default check interval:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":29856},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"0e70ce4f-102d-4699-a3e6-68fd7b42d564","timestamp":"2026-03-13T06:51:46.333Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0e70ce4f-102d-4699-a3e6-68fd7b42d564","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y2exy2HB2xhtYzUeS8snhk","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","old_string":"\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour","new_string":"\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"output_tokens":325,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":29856,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","timestamp":"2026-03-13T06:51:47.879Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"0998dbf5-feda-4d6e-89d1-49a9d9718560","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} +{"parentUuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Y2exy2HB2xhtYzUeS8snhk","toolUseID":"toolu_01Y2exy2HB2xhtYzUeS8snhk","timestamp":"2026-03-13T06:51:47.910Z","uuid":"49d291be-cc2e-44d9-95bf-3f9ec37ed042","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y2exy2HB2xhtYzUeS8snhk","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go has been updated successfully."}]},"uuid":"32a3bfab-34fb-47ee-8c3e-22d5f66b37ea","timestamp":"2026-03-13T06:51:47.910Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","oldString":"\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour","newString":"\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","structuredPatch":[{"oldStart":53,"oldLines":7,"newStart":53,"newLines":7,"lines":[" DefaultMaxWorkers = 10"," DefaultBufferCapacity = 512"," DefaultGCTriggerInterval = 100","- DefaultMemoryUsageTrackerInterval = 1 * time.Hour","+ DefaultMemoryUsageTrackerInterval = 5 * time.Minute"," )"," "," // Checkpoints configures periodic persistence of in-memory metric data."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0998dbf5-feda-4d6e-89d1-49a9d9718560","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"32a3bfab-34fb-47ee-8c3e-22d5f66b37ea","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011ZpSxb6CJcVPoagpKCVor9","type":"message","role":"assistant","content":[{"type":"text","text":"**2. lineprotocol.go** — Don't abort batch on write error, log and continue:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":385,"cache_read_input_tokens":48719,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":385},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdtVasKXU93W3PzvQUT","type":"assistant","uuid":"1a4fd16a-9ccc-4d82-a664-3ded0773f846","timestamp":"2026-03-13T06:51:49.837Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1a4fd16a-9ccc-4d82-a664-3ded0773f846","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011ZpSxb6CJcVPoagpKCVor9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","old_string":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}","new_string":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":385,"cache_read_input_tokens":48719,"output_tokens":257,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":385,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdtVasKXU93W3PzvQUT","type":"assistant","uuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","timestamp":"2026-03-13T06:51:52.782Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"df4037d3-6a82-4eea-9bae-efbec8eacebe","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-13T06:51:52.789Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} +{"parentUuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","toolUseID":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","timestamp":"2026-03-13T06:51:52.791Z","uuid":"d415e976-d130-4af7-855e-8760012bba7e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go has been updated successfully."}]},"uuid":"d0078cd1-b417-4f5b-85b4-0c8f52a0b28e","timestamp":"2026-03-13T06:51:52.791Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","oldString":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}","newString":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n// 1. Written to the in-memory store via ms.WriteToLevel.\n// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n// goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type\" and \"subtype\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf: make([]byte, 0, 16),\n\t\t\tselector: make([]string, 0, 4),\n\t\t\ttypeBuf: make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n// - The Level pointer (host-level node in the metric tree) is cached across\n// consecutive lines that share the same cluster+host pair to avoid\n// repeated lock acquisitions on the root and cluster levels.\n// - []byte→string conversions for type/subtype selectors are cached via\n// prevType*/prevSubType* fields because batches typically repeat the same\n// sub-device identifiers.\n// - Timestamp parsing tries Second precision first; if that fails it retries\n// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n// falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster: cluster,\n\t\t\t\tNode: host,\n\t\t\t\tSelector: append([]string{}, st.selector...),\n\t\t\t\tValue: metric.Value,\n\t\t\t\tTimestamp: time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":359,"oldLines":7,"newStart":359,"newLines":8,"lines":[" }"," "," if err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {","- return err","+ cclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())","+ continue"," }"," }"," return nil"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"df4037d3-6a82-4eea-9bae-efbec8eacebe","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d0078cd1-b417-4f5b-85b4-0c8f52a0b28e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01P1xCDKxbfvXV1SXBwwQsMv","type":"message","role":"assistant","content":[{"type":"text","text":"**3. buffer.go** — Add `bufferCount()` helper:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":435,"cache_read_input_tokens":49104,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":435},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdtrMn3nTjwtmrpdqy6","type":"assistant","uuid":"d5530ef9-b80d-47e0-b910-2f3078639ef2","timestamp":"2026-03-13T06:52:00.409Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d5530ef9-b80d-47e0-b910-2f3078639ef2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01P1xCDKxbfvXV1SXBwwQsMv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KF9gv6E24K5xZHzRS4eXMv","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","old_string":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}","new_string":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n\n// bufferCount returns the number of buffer nodes in the linked list.\nfunc (b *buffer) bufferCount() int64 {\n\tvar n int64\n\tfor ; b != nil; b = b.prev {\n\t\tn++\n\t}\n\treturn n\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":435,"cache_read_input_tokens":49104,"output_tokens":322,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":435,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdtrMn3nTjwtmrpdqy6","type":"assistant","uuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","timestamp":"2026-03-13T06:52:02.826Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"9f470e40-bc08-4d81-9d05-919e75bd7284","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-13T06:51:52.789Z"},"pkg/metricstore/buffer.go":{"backupFileName":"d475bbab9788168b@v1","version":1,"backupTime":"2026-03-13T06:52:02.842Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} +{"parentUuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KF9gv6E24K5xZHzRS4eXMv","toolUseID":"toolu_01KF9gv6E24K5xZHzRS4eXMv","timestamp":"2026-03-13T06:52:02.843Z","uuid":"1714fa7b-f920-4b06-aa79-c01a593a5e49","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KF9gv6E24K5xZHzRS4eXMv","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go has been updated successfully."}]},"uuid":"06ea9a13-f087-42df-89de-e75b9ce34515","timestamp":"2026-03-13T06:52:02.843Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","oldString":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}","newString":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n\n// bufferCount returns the number of buffer nodes in the linked list.\nfunc (b *buffer) bufferCount() int64 {\n\tvar n int64\n\tfor ; b != nil; b = b.prev {\n\t\tn++\n\t}\n\treturn n\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides buffer.go: Time-series data buffer implementation.\n//\n// # Buffer Architecture\n//\n// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n// chain of fixed-size buffers to store time-series data. This design:\n//\n// - Avoids reallocation/copying when growing (new links added instead)\n// - Enables efficient pooling (buffers returned to sync.Pool)\n// - Supports traversal back in time (via prev pointers)\n// - Maintains temporal ordering (newer data in later buffers)\n//\n// # Buffer Chain Example\n//\n//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n//\t start=1000 start=1512 start=2024\n//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n//\n// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n// the new head and the old head is linked via prev.\n//\n// # Pooling Strategy\n//\n// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n//\n// # Time Alignment\n//\n// Timestamps are aligned to measurement frequency intervals:\n//\n//\tindex = (timestamp - buffer.start) / buffer.frequency\n//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n//\n// Missing data points are represented as NaN values. The read() function performs\n// linear interpolation where possible.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// BufferCap is the default buffer capacity.\n// buffer.data will only ever grow up to its capacity and a new link\n// in the buffer chain will be created if needed so that no copying\n// of data or reallocation needs to happen on writes.\nconst BufferCap int = DefaultBufferCapacity\n\n// BufferPool is the global instance.\n// It is initialized immediately when the package loads.\nvar bufferPool = NewPersistentBufferPool()\n\ntype PersistentBufferPool struct {\n\tpool []*buffer\n\tmu sync.Mutex\n}\n\n// NewPersistentBufferPool creates a dynamic pool for buffers.\nfunc NewPersistentBufferPool() *PersistentBufferPool {\n\treturn &PersistentBufferPool{\n\t\tpool: make([]*buffer, 0),\n\t}\n}\n\nfunc (p *PersistentBufferPool) Get() *buffer {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tn := len(p.pool)\n\tif n == 0 {\n\t\t// Pool is empty, allocate a new one\n\t\treturn &buffer{\n\t\t\tdata: make([]schema.Float, 0, BufferCap),\n\t\t}\n\t}\n\n\t// Reuse existing buffer from the pool\n\tb := p.pool[n-1]\n\tp.pool[n-1] = nil // Avoid memory leak\n\tp.pool = p.pool[:n-1]\n\treturn b\n}\n\n// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n// before calling Put so that Clean() can evict idle entries correctly.\nfunc (p *PersistentBufferPool) Put(b *buffer) {\n\t// Reset the buffer before putting it back\n\tb.data = b.data[:0]\n\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tp.pool = append(p.pool, b)\n}\n\n// GetSize returns the exact number of buffers currently sitting in the pool.\nfunc (p *PersistentBufferPool) GetSize() int {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\treturn len(p.pool)\n}\n\n// Clear drains all buffers currently in the pool, allowing the GC to collect them.\nfunc (p *PersistentBufferPool) Clear() {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\tfor i := range p.pool {\n\t\tp.pool[i] = nil\n\t}\n\tp.pool = p.pool[:0]\n}\n\n// Clean removes buffers from the pool that haven't been used in the given duration.\n// It uses a simple LRU approach based on the lastUsed timestamp.\nfunc (p *PersistentBufferPool) Clean(threshold int64) {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\t// Filter in place, retaining only buffers returned to the pool recently enough.\n\tactive := p.pool[:0]\n\tfor _, b := range p.pool {\n\t\tif b.lastUsed >= threshold {\n\t\t\tactive = append(active, b)\n\t\t}\n\t}\n\n\t// Nullify the rest to prevent memory leaks\n\tfor i := len(active); i < len(p.pool); i++ {\n\t\tp.pool[i] = nil\n\t}\n\n\tp.pool = active\n}\n\nvar (\n\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n\n\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n\t// does not align with the parent scope's expected timestamps/intervals.\n\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n)\n\n// buffer stores time-series data for a single metric at a specific hierarchical level.\n//\n// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n// a new buffer becomes the head and the old head is linked via prev/next.\n//\n// Fields:\n// - prev: Link to older buffer in the chain (nil if this is oldest)\n// - next: Link to newer buffer in the chain (nil if this is newest/head)\n// - data: Time-series values (schema.Float supports NaN for missing data)\n// - frequency: Measurement interval in seconds\n// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n// - archived: True if data has been persisted to disk archive\n// - closed: True if buffer is no longer accepting writes\n//\n// Index calculation: index = (timestamp - start) / frequency\n// Actual data timestamp: start + (frequency / 2) + (index * frequency)\ntype buffer struct {\n\tprev *buffer\n\tnext *buffer\n\tdata []schema.Float\n\tfrequency int64\n\tstart int64\n\tarchived bool\n\tclosed bool\n\tlastUsed int64\n}\n\nfunc newBuffer(ts, freq int64) *buffer {\n\tb := bufferPool.Get()\n\tb.frequency = freq\n\tb.start = ts - (freq / 2)\n\tb.prev = nil\n\tb.next = nil\n\tb.archived = false\n\tb.closed = false\n\tb.data = b.data[:0]\n\treturn b\n}\n\n// write appends a timestamped value to the buffer chain.\n//\n// Returns the head buffer (which may be newly created if capacity was reached).\n// Timestamps older than the buffer's start are rejected. If the calculated index\n// exceeds capacity, a new buffer is allocated and linked as the new head.\n//\n// Missing timestamps are automatically filled with NaN values to maintain alignment.\n// Overwrites are allowed if the index is already within the existing data slice.\n//\n// Parameters:\n// - ts: Unix timestamp in seconds\n// - value: Metric value (can be schema.NaN for missing data)\n//\n// Returns:\n// - *buffer: The new head buffer (same as b if no new buffer created)\n// - error: Non-nil if timestamp is before buffer start\nfunc (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n\tif ts < b.start {\n\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n\t}\n\n\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n\tidx := int((ts - b.start) / b.frequency)\n\tif idx >= cap(b.data) {\n\t\tnewbuf := newBuffer(ts, b.frequency)\n\t\tnewbuf.prev = b\n\t\tb.next = newbuf\n\t\tb = newbuf\n\t\tidx = 0\n\t}\n\n\t// Overwriting value or writing value from past\n\tif idx < len(b.data) {\n\t\tb.data[idx] = value\n\t\treturn b, nil\n\t}\n\n\t// Fill up unwritten slots with NaN\n\tfor i := len(b.data); i < idx; i++ {\n\t\tb.data = append(b.data, schema.NaN)\n\t}\n\n\tb.data = append(b.data, value)\n\treturn b, nil\n}\n\nfunc (b *buffer) end() int64 {\n\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n}\n\nfunc (b *buffer) firstWrite() int64 {\n\treturn b.start + (b.frequency / 2)\n}\n\n// read retrieves time-series data from the buffer chain for the specified time range.\n//\n// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n// buffer's start. Missing data points are represented as NaN. Values are accumulated\n// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n//\n// The function adjusts the actual time range returned if data is unavailable at the\n// boundaries (returned via adjusted from/to timestamps).\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds)\n// - to: End timestamp (Unix seconds, exclusive)\n// - data: Pre-allocated slice to accumulate results (must be large enough)\n//\n// Returns:\n// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n// - int64: Actual start timestamp with available data\n// - int64: Actual end timestamp (exclusive)\n// - error: Non-nil on failure\n//\n// Panics if 'data' slice is too small to hold all values in [from, to).\nfunc (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n\tfor from < b.firstWrite() {\n\t\tif b.prev == nil {\n\t\t\tfrom = b.firstWrite()\n\t\t\tbreak\n\t\t}\n\t\tb = b.prev\n\t}\n\n\ti := 0\n\tt := from\n\tfor ; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tif b.next == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tb = b.next\n\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n\t\t\tidx = int((t - b.start) / b.frequency)\n\t\t}\n\n\t\tif idx >= len(b.data) {\n\t\t\tif b.next == nil || to <= b.next.start {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n\t\t} else if t < b.start {\n\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n\t\t} else {\n\t\t\tdata[i] += b.data[idx]\n\t\t}\n\t\ti++\n\t}\n\n\treturn data[:i], from, t, nil\n}\n\n// free removes buffers older than the specified timestamp from the chain.\n//\n// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n// is before the retention threshold. Freed buffers are returned to the pool if\n// they have the standard capacity (BufferCap).\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - delme: True if the current buffer itself should be deleted by caller\n// - n: Number of buffers freed in this subtree\nfunc (b *buffer) free(t int64) (delme bool, n int) {\n\tif b.prev != nil {\n\t\tdelme, m := b.prev.free(t)\n\t\tn += m\n\t\tif delme {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t}\n\n\tend := b.end()\n\tif end < t {\n\t\treturn true, n + 1\n\t}\n\n\treturn false, n\n}\n\n// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n// and removes it.\n// Returns:\n//\n//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n//\tn: the number of buffers freed (will be 1 or 0)\nfunc (b *buffer) forceFreeOldest() (delme bool, n int) {\n\t// If there is a previous buffer, recurse down to find the oldest\n\tif b.prev != nil {\n\t\tdelPrev, freed := b.prev.forceFreeOldest()\n\n\t\t// If the previous buffer signals it should be deleted:\n\t\tif delPrev {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t\treturn false, freed\n\t}\n\n\t// If b.prev is nil, THIS buffer is the oldest.\n\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n\treturn true, 1\n}\n\n// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n//\n// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n// the time range. Used for checkpoint/archive operations that need to serialize buffers\n// within a specific time window.\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds, inclusive)\n// - to: End timestamp (Unix seconds, inclusive)\n// - callback: Function to invoke on each overlapping buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\nfunc (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n\tif b == nil {\n\t\treturn nil\n\t}\n\n\t// Collect overlapping buffers walking backwards (newest → oldest).\n\tvar matching []*buffer\n\tfor cur := b; cur != nil; cur = cur.prev {\n\t\tif from <= cur.end() && cur.start <= to {\n\t\t\tmatching = append(matching, cur)\n\t\t}\n\t}\n\n\t// Invoke callback in chronological order (oldest → newest).\n\tfor i := len(matching) - 1; i >= 0; i-- {\n\t\tif err := callback(matching[i]); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n\nfunc (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n","structuredPatch":[{"oldStart":408,"oldLines":3,"newStart":408,"newLines":12,"lines":[" }"," return res"," }","+","+// bufferCount returns the number of buffer nodes in the linked list.","+func (b *buffer) bufferCount() int64 {","+ var n int64","+ for ; b != nil; b = b.prev {","+ n++","+ }","+ return n","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9f470e40-bc08-4d81-9d05-919e75bd7284","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"06ea9a13-f087-42df-89de-e75b9ce34515","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0148yKKvBB2duXwfUCJsPt9j","type":"message","role":"assistant","content":[{"type":"text","text":"**4. level.go** — Prune empty children after free, improve 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free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 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m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":200,"oldLines":17,"newStart":200,"newLines":33,"lines":[" }"," }"," ","- for _, l := range l.children {","- m, err := l.free(t)","+ for key, child := range l.children {","+ m, err := child.free(t)"," n += m"," if err != nil {"," return n, err"," }","+ if child.isEmpty() {","+ delete(l.children, key)","+ }"," }"," "," return n, nil"," }"," ","+// isEmpty returns true if this level has no metrics and no children.","+func (l *Level) isEmpty() bool {","+ l.lock.RLock()","+ defer l.lock.RUnlock()","+","+ for _, b := range l.metrics {","+ if b != nil {","+ return false","+ }","+ }","+ return len(l.children) == 0","+}","+"," // forceFree removes the oldest buffer from each metric chain in the subtree."," //"," // Unlike free(), which removes based on time threshold, this unconditionally removes"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e7c1f488-8287-43d2-8f41-e704e8d3563b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":822,"cache_read_input_tokens":49906,"output_tokens":415,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":822,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdvH9ZoSMKePBnmHuNN","type":"assistant","uuid":"597a6c95-8bc4-4b55-8960-79d4f9581a34","timestamp":"2026-03-13T06:52:22.604Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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successfully."}]},"uuid":"a57b2a05-b6a2-46cb-aabe-9e36d29d0598","timestamp":"2026-03-13T06:52:22.642Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"func (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}","newString":"func (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":294,"oldLines":6,"newStart":294,"newLines":7,"lines":[" for _, b := range l.metrics {"," if b != nil {"," size += b.count() * int64(unsafe.Sizeof(schema.Float(0)))","+ size += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"597a6c95-8bc4-4b55-8960-79d4f9581a34","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a57b2a05-b6a2-46cb-aabe-9e36d29d0598","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XukQEEktXeTjhSSjzx7Zxx","type":"message","role":"assistant","content":[{"type":"text","text":"**5. metricstore.go** — Fix MemoryUsageTracker:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":460,"cache_read_input_tokens":50728,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":460},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdw4KBHE4qmGNhsGS6K","type":"assistant","uuid":"02ccb42b-fcf2-4694-b9d4-d534825c4f8f","timestamp":"2026-03-13T06:52:24.827Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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+{"parentUuid":"02ccb42b-fcf2-4694-b9d4-d534825c4f8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XukQEEktXeTjhSSjzx7Zxx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ashwzcCazMi5NjaQ8jh18","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","old_string":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","new_string":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", 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successfully."}]},"uuid":"143d0d76-bbb7-4d40-99a7-2948e69c0a5f","timestamp":"2026-03-13T06:52:51.567Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","oldString":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","newString":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":384,"oldLines":14,"newStart":384,"newLines":16,"lines":[" ms := GetMemoryStore()"," "," wg.Go(func() {","- d := DefaultMemoryUsageTrackerInterval","+ normalInterval := DefaultMemoryUsageTrackerInterval","+ fastInterval := 30 * time.Second"," ","- if d <= 0 {","+ if normalInterval <= 0 {"," return"," }"," ","- ticker := time.NewTicker(d)","+ ticker := time.NewTicker(normalInterval)"," defer ticker.Stop()","+ currentInterval := normalInterval"," "," for {"," select {"]},{"oldStart":428,"oldLines":48,"newStart":430,"newLines":59,"lines":[" runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9"," ","- bufferPool.Clear()","- cclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")","-"," if actualMemoryGB > float64(Keys.MemoryCap) {"," cclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)"," ","- const maxIterations = 100","+ // Use progressive time-based Free with increasing threshold","+ // instead of ForceFree loop — fewer tree traversals, more effective","+ d, parseErr := time.ParseDuration(Keys.RetentionInMemory)","+ if parseErr != nil {","+ cclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)","+ } else {","+ thresholds := []float64{0.75, 0.5, 0.25}","+ for _, fraction := range thresholds {","+ threshold := time.Now().Add(-time.Duration(float64(d) * fraction))","+ freed, freeErr := ms.Free(nil, threshold.Unix())","+ if freeErr != nil {","+ cclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)","+ }","+ freedEmergency += freed"," ","- for i := range maxIterations {","- if actualMemoryGB < float64(Keys.MemoryCap) {","- break","- }","-","- freed, err := ms.ForceFree()","- if err != nil {","- cclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)","- }","- if freed == 0 {","- cclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)","- break","- }","- freedEmergency += freed","-","- if i%10 == 0 && freedEmergency > 0 {","+ bufferPool.Clear()","+ runtime.GC()"," runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9","+","+ if actualMemoryGB < float64(Keys.MemoryCap) {","+ break","+ }"," }"," }"," ","- // if freedEmergency > 0 {","- // \tdebug.FreeOSMemory()","- // }","+ bufferPool.Clear()","+ debug.FreeOSMemory()"," "," runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9"," "," if actualMemoryGB >= float64(Keys.MemoryCap) {","- cclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)","+ cclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)"," } else {"," cclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)"," }"," }","+","+ // Adaptive ticker: check more frequently when memory is high","+ memoryRatio := actualMemoryGB / float64(Keys.MemoryCap)","+ if memoryRatio > 0.8 && currentInterval != fastInterval {","+ ticker.Reset(fastInterval)","+ currentInterval = fastInterval","+ cclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)","+ } else if memoryRatio <= 0.8 && currentInterval != normalInterval {","+ ticker.Reset(normalInterval)","+ currentInterval = normalInterval","+ cclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)","+ }"," }"," }"," })"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c8c66e9-ca84-40e2-9bfa-47a3a0f938e3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"143d0d76-bbb7-4d40-99a7-2948e69c0a5f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PWcroiL9u1fBq7KQmnoSPP","type":"message","role":"assistant","content":[{"type":"text","text":"Now let's verify it builds and tests pass:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2439,"cache_read_input_tokens":51188,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2439},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdyBkhwb286abxUADkc","type":"assistant","uuid":"e6451cbc-9031-4679-bafb-f5f1a89f6e38","timestamp":"2026-03-13T06:52:53.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e6451cbc-9031-4679-bafb-f5f1a89f6e38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PWcroiL9u1fBq7KQmnoSPP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014sFKoaTqBsD9GE86zhJPsP","name":"Bash","input":{"command":"go build ./pkg/metricstore/...","description":"Build metricstore 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Here's a summary of the changes:\n\n### Changes made:\n\n1. **`config.go:56`** — Reduced `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute` so memory is checked more frequently.\n\n2. **`lineprotocol.go:361-363`** — Changed `return err` to `cclog.Warn(...)` + `continue` so a single out-of-order timestamp no longer aborts the entire NATS batch. Remaining lines are still processed.\n\n3. **`metricstore.go:383-476`** (MemoryUsageTracker) — Three fixes:\n - **Removed premature `bufferPool.Clear()`** that ran every tick regardless of memory pressure (was preventing freed buffers from being reclaimed by GC since they went back to the pool immediately).\n - **Replaced the broken `ForceFree` loop** (100 iterations without clearing pool or GC = `mem.Alloc` never decreases) with **progressive `Free(nil, threshold)`** using 75%/50%/25% of retention time, with `bufferPool.Clear()` + `runtime.GC()` between each step so memory stats actually update.\n - **Added `debug.FreeOSMemory()`** after emergency freeing and **adaptive ticker** (30s when >80% of cap, normal interval otherwise).\n\n4. **`level.go:183-212`** — `free()` now **prunes empty children** from the map after freeing their buffers. Added `isEmpty()` helper. Also improved `sizeInBytes()` to count buffer struct overhead (`unsafe.Sizeof(buffer{})` per node in the linked list), not just float data.\n\n5. **`buffer.go:413-419`** — Added `bufferCount()` helper that counts linked-list nodes for the overhead calculation."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":138,"cache_read_input_tokens":53848,"output_tokens":453,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":138,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdynVzzisnz4TkLSzvc","type":"assistant","uuid":"4abc5754-3474-4365-b2a3-61c325fabf9d","timestamp":"2026-03-13T06:53:12.801Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/jobCreate.go\n\tmodified: pkg/metricstore/buffer.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/lineprotocol.go\n\tmodified: pkg/metricstore/metricstore.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"788e7f82-6546-4c39-9bd1-718e4931c1d4","timestamp":"2026-03-13T06:57:22.192Z","toolUseResult":{"stdout":"On branch hotfix\nYour branch is up to date with 'origin/hotfix'.\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/jobCreate.go\n\tmodified: pkg/metricstore/buffer.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/lineprotocol.go\n\tmodified: pkg/metricstore/metricstore.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"309e5df8-b269-48be-ae5a-b3669cb6d19c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"788e7f82-6546-4c39-9bd1-718e4931c1d4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0128bAeVDfrRSKopMxr2Wagv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017sinVFJhGoMH6oBwooJU6L","name":"Bash","input":{"command":"git diff","description":"Show staged and unstaged 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b/internal/repository/jobCreate.go\nindex 07c8ce11..7047f12f 100644\n--- a/internal/repository/jobCreate.go\n+++ b/internal/repository/jobCreate.go\n@@ -96,13 +96,13 @@ func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n \t_, err = r.DB.Exec(\n \t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n \t\treturn nil, err\n \t}\n \n \t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n \t\treturn nil, err\n \t}\n \n@@ -211,4 +211,3 @@ func (r *JobRepository) Stop(\n \t_, err = stmt.RunWith(r.stmtCache).Exec()\n \treturn err\n }\n-\ndiff --git a/pkg/metricstore/buffer.go b/pkg/metricstore/buffer.go\nindex 2d752006..8530f893 100644\n--- a/pkg/metricstore/buffer.go\n+++ b/pkg/metricstore/buffer.go\n@@ -408,3 +408,12 @@ func (b *buffer) count() int64 {\n \t}\n \treturn res\n }\n+\n+// bufferCount returns the number of buffer nodes in the linked list.\n+func (b *buffer) bufferCount() int64 {\n+\tvar n int64\n+\tfor ; b != nil; b = b.prev {\n+\t\tn++\n+\t}\n+\treturn n\n+}\ndiff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 3b6be529..44743dbe 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -53,7 +53,7 @@ const (\n \tDefaultMaxWorkers = 10\n \tDefaultBufferCapacity = 512\n \tDefaultGCTriggerInterval = 100\n-\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n+\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n )\n \n // Checkpoints configures periodic persistence of in-memory metric data.\ndiff --git a/pkg/metricstore/level.go b/pkg/metricstore/level.go\nindex 2b24a2ea..218ae8e6 100644\n--- a/pkg/metricstore/level.go\n+++ b/pkg/metricstore/level.go\n@@ -200,17 +200,33 @@ func (l *Level) free(t int64) (int, error) {\n \t\t}\n \t}\n \n-\tfor _, l := range l.children {\n-\t\tm, err := l.free(t)\n+\tfor key, child := range l.children {\n+\t\tm, err := child.free(t)\n \t\tn += m\n \t\tif err != nil {\n \t\t\treturn n, err\n \t\t}\n+\t\tif child.isEmpty() {\n+\t\t\tdelete(l.children, key)\n+\t\t}\n \t}\n \n \treturn n, nil\n }\n \n+// isEmpty returns true if this level has no metrics and no children.\n+func (l *Level) isEmpty() bool {\n+\tl.lock.RLock()\n+\tdefer l.lock.RUnlock()\n+\n+\tfor _, b := range l.metrics {\n+\t\tif b != nil {\n+\t\t\treturn false\n+\t\t}\n+\t}\n+\treturn len(l.children) == 0\n+}\n+\n // forceFree removes the oldest buffer from each metric chain in the subtree.\n //\n // Unlike free(), which removes based on time threshold, this unconditionally removes\n@@ -278,6 +294,7 @@ func (l *Level) sizeInBytes() int64 {\n \tfor _, b := range l.metrics {\n \t\tif b != nil {\n \t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n+\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n \t\t}\n \t}\n \ndiff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex ecae3df1..21f036ed 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -359,7 +359,8 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t}\n \n \t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n-\t\t\treturn err\n+\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n+\t\t\tcontinue\n \t\t}\n \t}\n \treturn nil\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex b6fbb51a..85eb0baf 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -384,14 +384,16 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \tms := GetMemoryStore()\n \n \twg.Go(func() {\n-\t\td := DefaultMemoryUsageTrackerInterval\n+\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n+\t\tfastInterval := 30 * time.Second\n \n-\t\tif d <= 0 {\n+\t\tif normalInterval <= 0 {\n \t\t\treturn\n \t\t}\n \n-\t\tticker := time.NewTicker(d)\n+\t\tticker := time.NewTicker(normalInterval)\n \t\tdefer ticker.Stop()\n+\t\tcurrentInterval := normalInterval\n \n \t\tfor {\n \t\t\tselect {\n@@ -428,48 +430,59 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n-\t\t\t\tbufferPool.Clear()\n-\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n-\n \t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n \t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n \n-\t\t\t\t\tconst maxIterations = 100\n-\n-\t\t\t\t\tfor i := range maxIterations {\n-\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\n-\t\t\t\t\t\tfreed, err := ms.ForceFree()\n-\t\t\t\t\t\tif err != nil {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tif freed == 0 {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tfreedEmergency += freed\n-\n-\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n+\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n+\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n+\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n+\t\t\t\t\tif parseErr != nil {\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n+\t\t\t\t\t} else {\n+\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n+\t\t\t\t\t\tfor _, fraction := range thresholds {\n+\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n+\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n+\t\t\t\t\t\t\tif freeErr != nil {\n+\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n+\t\t\t\t\t\t\t}\n+\t\t\t\t\t\t\tfreedEmergency += freed\n+\n+\t\t\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\t\t\truntime.GC()\n \t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n+\n+\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n+\t\t\t\t\t\t\t\tbreak\n+\t\t\t\t\t\t\t}\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \n-\t\t\t\t\t// if freedEmergency > 0 {\n-\t\t\t\t\t// \tdebug.FreeOSMemory()\n-\t\t\t\t\t// }\n+\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\tdebug.FreeOSMemory()\n \n \t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n \t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n-\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n \t\t\t\t\t} else {\n \t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n \t\t\t\t\t}\n \t\t\t\t}\n+\n+\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n+\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n+\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n+\t\t\t\t\tticker.Reset(fastInterval)\n+\t\t\t\t\tcurrentInterval = fastInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n+\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n+\t\t\t\t\tticker.Reset(normalInterval)\n+\t\t\t\t\tcurrentInterval = normalInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n+\t\t\t\t}\n \t\t\t}\n \t\t}\n \t})","is_error":false}]},"uuid":"4c5fcc00-6e6b-4f4d-a3b6-17974f9a0ec5","timestamp":"2026-03-13T06:57:22.687Z","toolUseResult":{"stdout":"diff --git a/internal/repository/jobCreate.go b/internal/repository/jobCreate.go\nindex 07c8ce11..7047f12f 100644\n--- a/internal/repository/jobCreate.go\n+++ b/internal/repository/jobCreate.go\n@@ -96,13 +96,13 @@ func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n \t_, err = r.DB.Exec(\n \t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n \t\treturn nil, err\n \t}\n \n \t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n \t\treturn nil, err\n \t}\n \n@@ -211,4 +211,3 @@ func (r *JobRepository) Stop(\n \t_, err = stmt.RunWith(r.stmtCache).Exec()\n \treturn err\n }\n-\ndiff --git a/pkg/metricstore/buffer.go b/pkg/metricstore/buffer.go\nindex 2d752006..8530f893 100644\n--- a/pkg/metricstore/buffer.go\n+++ b/pkg/metricstore/buffer.go\n@@ -408,3 +408,12 @@ func (b *buffer) count() int64 {\n \t}\n \treturn res\n }\n+\n+// bufferCount returns the number of buffer nodes in the linked list.\n+func (b *buffer) bufferCount() int64 {\n+\tvar n int64\n+\tfor ; b != nil; b = b.prev {\n+\t\tn++\n+\t}\n+\treturn n\n+}\ndiff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 3b6be529..44743dbe 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -53,7 +53,7 @@ const (\n \tDefaultMaxWorkers = 10\n \tDefaultBufferCapacity = 512\n \tDefaultGCTriggerInterval = 100\n-\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n+\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n )\n \n // Checkpoints configures periodic persistence of in-memory metric data.\ndiff --git a/pkg/metricstore/level.go b/pkg/metricstore/level.go\nindex 2b24a2ea..218ae8e6 100644\n--- a/pkg/metricstore/level.go\n+++ b/pkg/metricstore/level.go\n@@ -200,17 +200,33 @@ func (l *Level) free(t int64) (int, error) {\n \t\t}\n \t}\n \n-\tfor _, l := range l.children {\n-\t\tm, err := l.free(t)\n+\tfor key, child := range l.children {\n+\t\tm, err := child.free(t)\n \t\tn += m\n \t\tif err != nil {\n \t\t\treturn n, err\n \t\t}\n+\t\tif child.isEmpty() {\n+\t\t\tdelete(l.children, key)\n+\t\t}\n \t}\n \n \treturn n, nil\n }\n \n+// isEmpty returns true if this level has no metrics and no children.\n+func (l *Level) isEmpty() bool {\n+\tl.lock.RLock()\n+\tdefer l.lock.RUnlock()\n+\n+\tfor _, b := range l.metrics {\n+\t\tif b != nil {\n+\t\t\treturn false\n+\t\t}\n+\t}\n+\treturn len(l.children) == 0\n+}\n+\n // forceFree removes the oldest buffer from each metric chain in the subtree.\n //\n // Unlike free(), which removes based on time threshold, this unconditionally removes\n@@ -278,6 +294,7 @@ func (l *Level) sizeInBytes() int64 {\n \tfor _, b := range l.metrics {\n \t\tif b != nil {\n \t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n+\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n \t\t}\n \t}\n \ndiff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex ecae3df1..21f036ed 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -359,7 +359,8 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t}\n \n \t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n-\t\t\treturn err\n+\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n+\t\t\tcontinue\n \t\t}\n \t}\n \treturn nil\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex b6fbb51a..85eb0baf 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -384,14 +384,16 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \tms := GetMemoryStore()\n \n \twg.Go(func() {\n-\t\td := DefaultMemoryUsageTrackerInterval\n+\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n+\t\tfastInterval := 30 * time.Second\n \n-\t\tif d <= 0 {\n+\t\tif normalInterval <= 0 {\n \t\t\treturn\n \t\t}\n \n-\t\tticker := time.NewTicker(d)\n+\t\tticker := time.NewTicker(normalInterval)\n \t\tdefer ticker.Stop()\n+\t\tcurrentInterval := normalInterval\n \n \t\tfor {\n \t\t\tselect {\n@@ -428,48 +430,59 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n-\t\t\t\tbufferPool.Clear()\n-\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n-\n \t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n \t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n \n-\t\t\t\t\tconst maxIterations = 100\n-\n-\t\t\t\t\tfor i := range maxIterations {\n-\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\n-\t\t\t\t\t\tfreed, err := ms.ForceFree()\n-\t\t\t\t\t\tif err != nil {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tif freed == 0 {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tfreedEmergency += freed\n-\n-\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n+\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n+\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n+\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n+\t\t\t\t\tif parseErr != nil {\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n+\t\t\t\t\t} else {\n+\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n+\t\t\t\t\t\tfor _, fraction := range thresholds {\n+\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n+\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n+\t\t\t\t\t\t\tif freeErr != nil {\n+\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n+\t\t\t\t\t\t\t}\n+\t\t\t\t\t\t\tfreedEmergency += freed\n+\n+\t\t\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\t\t\truntime.GC()\n \t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n+\n+\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n+\t\t\t\t\t\t\t\tbreak\n+\t\t\t\t\t\t\t}\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \n-\t\t\t\t\t// if freedEmergency > 0 {\n-\t\t\t\t\t// \tdebug.FreeOSMemory()\n-\t\t\t\t\t// }\n+\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\tdebug.FreeOSMemory()\n \n \t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n \t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n-\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n \t\t\t\t\t} else {\n \t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n \t\t\t\t\t}\n \t\t\t\t}\n+\n+\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n+\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n+\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n+\t\t\t\t\tticker.Reset(fastInterval)\n+\t\t\t\t\tcurrentInterval = fastInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n+\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n+\t\t\t\t\tticker.Reset(normalInterval)\n+\t\t\t\t\tcurrentInterval = normalInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n+\t\t\t\t}\n \t\t\t}\n \t\t}\n \t})","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7eb73571-ee2a-400d-b4af-b1adbcc10588","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4c5fcc00-6e6b-4f4d-a3b6-17974f9a0ec5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0128bAeVDfrRSKopMxr2Wagv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YZHQdpMKJUvqon1DwtQ21R","name":"Bash","input":{"command":"git log --oneline -5","description":"Show recent commits"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":518,"cache_read_input_tokens":53986,"output_tokens":249,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzeJwWGK8YaKZLMwUu4j","type":"assistant","uuid":"41343b67-7f69-49d7-a2d9-58392ce93086","timestamp":"2026-03-13T06:57:23.056Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"41343b67-7f69-49d7-a2d9-58392ce93086","isSidechain":false,"promptId":"3dee3a02-b0d9-414b-ba07-3fb96a789b6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YZHQdpMKJUvqon1DwtQ21R","type":"tool_result","content":"126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query\n8e86e872 Make stats query selective. Add stats index. Add paging to user list.\n4555fb8a Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix","is_error":false}]},"uuid":"30183768-6698-478e-b1dc-3a1c17be2a47","timestamp":"2026-03-13T06:57:23.094Z","toolUseResult":{"stdout":"126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query\n8e86e872 Make stats query selective. Add stats index. Add paging to user list.\n4555fb8a Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"41343b67-7f69-49d7-a2d9-58392ce93086","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"30183768-6698-478e-b1dc-3a1c17be2a47","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PpuJwbQfeoRGdPMwMXCA5y","type":"message","role":"assistant","content":[{"type":"text","text":"Note: `internal/repository/jobCreate.go` has pre-existing changes (unrelated log level fix). I'll commit only the metricstore files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3601,"cache_read_input_tokens":54504,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3601},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzeKCZ8oFRGgPfr7mbmf","type":"assistant","uuid":"8c8873bd-c949-4d80-8c9c-10002740dbe7","timestamp":"2026-03-13T06:57:26.646Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8c8873bd-c949-4d80-8c9c-10002740dbe7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PpuJwbQfeoRGdPMwMXCA5y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D7sm5LtPELaC49u4eQDQ9R","name":"Bash","input":{"command":"git add pkg/metricstore/buffer.go pkg/metricstore/config.go pkg/metricstore/level.go pkg/metricstore/lineprotocol.go pkg/metricstore/metricstore.go && git commit -m \"$(cat <<'EOF'\nfix: Fix metricstore memory explosion from broken emergency free and batch aborts\n\n- Fix MemoryUsageTracker: remove premature bufferPool.Clear() that prevented\n mem.Alloc from decreasing, replace broken ForceFree loop (100 iterations\n with no GC) with progressive time-based Free at 75%/50%/25% retention,\n add bufferPool.Clear()+GC between steps so memory stats update correctly\n- Enable debug.FreeOSMemory() after emergency freeing to return memory to OS\n- Add adaptive ticker: 30s checks when memory >80% of cap, normal otherwise\n- Reduce default memory check interval from 1h to 5min\n- Don't abort entire NATS batch on single write error (out-of-order timestamp),\n log warning and continue processing remaining lines\n- Prune empty levels from tree after free() to reduce overhead\n- Include buffer struct overhead in sizeInBytes() for more accurate reporting\n\nCo-Authored-By: Claude Opus 4.6 \nEOF\n)\"","description":"Commit metricstore memory fix changes"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3601,"cache_read_input_tokens":54504,"output_tokens":428,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3601,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzeKCZ8oFRGgPfr7mbmf","type":"assistant","uuid":"93380279-8b97-44fd-8203-5cb22c742e3d","timestamp":"2026-03-13T06:57:35.527Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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+{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0cc8876b-10ce-4edf-943f-0617397039d7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkBW59RCY6tGSB56nAGA//z3lRvJEDn5iJLOClMZGjxNRiWuAGiCmaIgNTdta1Sy/TNzx1kW0Sge7rGR/PxRSRnzEgxrFv+VHTFTR4clEKEaDKuKPoUxVzMZVaZOcCIwSK/bX+m7pbn9zNbcObjeGbtEDnVl0XG+IWu13/bGiaxsvKlev7b3kMGDZZMYJ4PDKnA+xKfCbHmkjIUA2GiAZssRADapW2wdfwvf2TjdNKGhvAUmpIn22yVZAzKMoknki+EsxETxurlV826f8SUVQWHw2gyAIAGvUmo50dlWOQyFl8FHykjapLmt1VYXaRxmaxdvoRGB6c2paNwsN0gPxnuWGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"05234723-9c30-4f6a-906f-0a704bf53634","timestamp":"2026-03-16T10:12:38.222Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"05234723-9c30-4f6a-906f-0a704bf53634","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"text","text":"I'll start by reading all the files that need to be modified."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"be91377f-2d87-4886-832a-0c3f66162a68","timestamp":"2026-03-16T10:12:38.666Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"be91377f-2d87-4886-832a-0c3f66162a68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","timestamp":"2026-03-16T10:12:39.531Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","toolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","timestamp":"2026-03-16T10:12:39.545Z","uuid":"9a0f39be-6570-40f2-ac77-182757e68941","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n 43→\t}\n 44→\n 45→\tfor _, pragma := range pragmas {\n 46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 47→\t\tif err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\treturn nil\n 53→}\n 54→\n 55→func Connect(db string) {\n 56→\tvar err error\n 57→\tvar dbHandle *sqlx.DB\n 58→\n 59→\tdbConnOnce.Do(func() {\n 60→\t\topts := DatabaseOptions{\n 61→\t\t\tURL: db,\n 62→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 63→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 66→\t\t}\n 67→\n 68→\t\t// TODO: Have separate DB handles for Writes and Reads\n 69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 70→\t\tconnectionURLParams := make(url.Values)\n 71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n 76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n 77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 79→\n 80→\t\tif cclog.Loglevel() == \"debug\" {\n 81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 83→\t\t} else {\n 84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 85→\t\t}\n 86→\n 87→\t\tif err != nil {\n 88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 89→\t\t}\n 90→\n 91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n 92→\t\tif err != nil {\n 93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 94→\t\t}\n 95→\n 96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n 97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n 98→\n 99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 103→\n 104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 105→\t\terr = checkDBVersion(dbHandle.DB)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 108→\t\t}\n 109→\t})\n 110→}\n 111→\n 112→func GetConnection() *DBConnection {\n 113→\tif dbConnInstance == nil {\n 114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 115→\t}\n 116→\n 117→\treturn dbConnInstance\n 118→}\n 119→\n 120→// ResetConnection closes the current database connection and resets the connection state.\n 121→// This function is intended for testing purposes only to allow test isolation.\n 122→func ResetConnection() error {\n 123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 126→\t\t}\n 127→\t}\n 128→\n 129→\tdbConnInstance = nil\n 130→\tdbConnOnce = sync.Once{}\n 131→\tjobRepoInstance = nil\n 132→\tjobRepoOnce = sync.Once{}\n 133→\tnodeRepoInstance = nil\n 134→\tnodeRepoOnce = sync.Once{}\n 135→\tuserRepoInstance = nil\n 136→\tuserRepoOnce = sync.Once{}\n 137→\tuserCfgRepoInstance = nil\n 138→\tuserCfgRepoOnce = sync.Once{}\n 139→\n 140→\treturn nil\n 141→}\n 142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012orF9pg72YJWFiTr5U3zzS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","timestamp":"2026-03-16T10:12:40.037Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012orF9pg72YJWFiTr5U3zzS","toolUseID":"toolu_012orF9pg72YJWFiTr5U3zzS","timestamp":"2026-03-16T10:12:40.045Z","uuid":"6db8547c-bb54-48b0-9773-cad21dff17bf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→\n 38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n 39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n 40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n 41→\t// Default: 2048 (2GB)\n 42→\tDbCacheSizeMB int\n 43→\n 44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n 45→\t// SQLite will try to release cache pages to stay under this limit.\n 46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n 47→\t// Default: 16384 (16GB)\n 48→\tDbSoftHeapLimitMB int\n 49→}\n 50→\n 51→// DefaultConfig returns the default repository configuration.\n 52→// These values are optimized for typical deployments.\n 53→func DefaultConfig() *RepositoryConfig {\n 54→\treturn &RepositoryConfig{\n 55→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 56→\t\tMaxOpenConnections: 4,\n 57→\t\tMaxIdleConnections: 4,\n 58→\t\tConnectionMaxLifetime: time.Hour,\n 59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 60→\t\tMinRunningJobDuration: 600, // 10 minutes\n 61→\t\tDbCacheSizeMB: 2048, // 2GB per connection\n 62→\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n 63→\t}\n 64→}\n 65→\n 66→// repoConfig is the package-level configuration instance.\n 67→// It is initialized with defaults and can be overridden via SetConfig.\n 68→var repoConfig *RepositoryConfig = DefaultConfig()\n 69→\n 70→// SetConfig sets the repository configuration.\n 71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 72→// If not called, default values from DefaultConfig() are used.\n 73→func SetConfig(cfg *RepositoryConfig) {\n 74→\tif cfg != nil {\n 75→\t\trepoConfig = cfg\n 76→\t}\n 77→}\n 78→\n 79→// GetConfig returns the current repository configuration.\n 80→func GetConfig() *RepositoryConfig {\n 81→\treturn repoConfig\n 82→}\n 83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB: 2048, // 2GB per connection\n\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","timestamp":"2026-03-16T10:12:40.450Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ApteHWPiKLmA7YP4uFfRyv","toolUseID":"toolu_01ApteHWPiKLmA7YP4uFfRyv","timestamp":"2026-03-16T10:12:40.472Z","uuid":"e613e3e6-6827-412b-aa59-db18bca3b3b3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package archive\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"compress/gzip\"\n 11→\t\"database/sql\"\n 12→\t\"encoding/json\"\n 13→\t\"fmt\"\n 14→\t\"io\"\n 15→\t\"math\"\n 16→\t\"os\"\n 17→\t\"slices\"\n 18→\t\"strconv\"\n 19→\t\"sync\"\n 20→\t\"text/tabwriter\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 27→\t_ \"github.com/mattn/go-sqlite3\"\n 28→)\n 29→\n 30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n 31→type SqliteArchiveConfig struct {\n 32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n 33→}\n 34→\n 35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n 36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n 37→//\n 38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n 39→type SqliteArchive struct {\n 40→\tdb *sql.DB // SQLite database connection\n 41→\tclusters []string // List of discovered cluster names\n 42→}\n 43→\n 44→// sqliteSchema defines the database schema for SQLite archive backend.\n 45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n 46→// Clusters table: stores cluster configurations\n 47→// Metadata table: stores version and other key-value pairs\n 48→const sqliteSchema = `\n 49→CREATE TABLE IF NOT EXISTS jobs (\n 50→ id INTEGER PRIMARY KEY AUTOINCREMENT,\n 51→ job_id INTEGER NOT NULL,\n 52→ cluster TEXT NOT NULL,\n 53→ start_time INTEGER NOT NULL,\n 54→ meta_json BLOB NOT NULL,\n 55→ data_json BLOB,\n 56→ data_compressed BOOLEAN DEFAULT 0,\n 57→ created_at INTEGER NOT NULL,\n 58→ updated_at INTEGER NOT NULL,\n 59→ UNIQUE(job_id, cluster, start_time)\n 60→);\n 61→\n 62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n 63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n 64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n 65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n 66→\n 67→CREATE TABLE IF NOT EXISTS clusters (\n 68→ name TEXT PRIMARY KEY,\n 69→ config_json BLOB NOT NULL,\n 70→ updated_at INTEGER NOT NULL\n 71→);\n 72→\n 73→CREATE TABLE IF NOT EXISTS metadata (\n 74→ key TEXT PRIMARY KEY,\n 75→ value TEXT NOT NULL\n 76→);\n 77→`\n 78→\n 79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n 80→\tvar cfg SqliteArchiveConfig\n 81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n 82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n 83→\t\treturn 0, err\n 84→\t}\n 85→\n 86→\tif cfg.DBPath == \"\" {\n 87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n 88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n 89→\t\treturn 0, err\n 90→\t}\n 91→\n 92→\t// Open SQLite database\n 93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n 94→\tif err != nil {\n 95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n 96→\t\treturn 0, err\n 97→\t}\n 98→\tsa.db = db\n 99→\n 100→\t// Set pragmas for better performance\n 101→\tpragmas := []string{\n 102→\t\t\"PRAGMA journal_mode=WAL\",\n 103→\t\t\"PRAGMA synchronous=NORMAL\",\n 104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n 105→\t\t\"PRAGMA busy_timeout=5000\",\n 106→\t}\n 107→\tfor _, pragma := range pragmas {\n 108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n 109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n 110→\t\t}\n 111→\t}\n 112→\n 113→\t// Create schema\n 114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n 115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n 116→\t\treturn 0, err\n 117→\t}\n 118→\n 119→\t// Check/set version\n 120→\tvar versionStr string\n 121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n 122→\tif err == sql.ErrNoRows {\n 123→\t\t// First time initialization, set version\n 124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n 125→\t\tif err != nil {\n 126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n 127→\t\t\treturn 0, err\n 128→\t\t}\n 129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n 130→\t} else if err != nil {\n 131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n 132→\t\treturn 0, err\n 133→\t}\n 134→\n 135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n 136→\tif err != nil {\n 137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n 138→\t\treturn 0, err\n 139→\t}\n 140→\n 141→\tif version != Version {\n 142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n 143→\t}\n 144→\n 145→\t// Discover clusters\n 146→\tsa.clusters = []string{}\n 147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n 148→\tif err != nil {\n 149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n 150→\t\treturn 0, err\n 151→\t}\n 152→\tdefer rows.Close()\n 153→\n 154→\tfor rows.Next() {\n 155→\t\tvar cluster string\n 156→\t\tif err := rows.Scan(&cluster); err != nil {\n 157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n 158→\t\t\tcontinue\n 159→\t\t}\n 160→\t\tsa.clusters = append(sa.clusters, cluster)\n 161→\t}\n 162→\n 163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n 164→\treturn version, nil\n 165→}\n 166→\n 167→func (sa *SqliteArchive) Info() {\n 168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n 169→\n 170→\tci := make(map[string]*clusterInfo)\n 171→\n 172→\trows, err := sa.db.Query(`\n 173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n 174→\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n 175→\t\tFROM jobs\n 176→\t\tGROUP BY cluster\n 177→\t`)\n 178→\tif err != nil {\n 179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n 180→\t}\n 181→\tdefer rows.Close()\n 182→\n 183→\tfor rows.Next() {\n 184→\t\tvar cluster string\n 185→\t\tvar numJobs int\n 186→\t\tvar dateFirst, dateLast int64\n 187→\t\tvar diskSize int64\n 188→\n 189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n 190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n 191→\t\t\tcontinue\n 192→\t\t}\n 193→\n 194→\t\tci[cluster] = &clusterInfo{\n 195→\t\t\tnumJobs: numJobs,\n 196→\t\t\tdateFirst: dateFirst,\n 197→\t\t\tdateLast: dateLast,\n 198→\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n 199→\t\t}\n 200→\t}\n 201→\n 202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n 203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n 204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n 205→\tfor cluster, clusterInfo := range ci {\n 206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n 207→\t\t\tclusterInfo.numJobs,\n 208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n 209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n 210→\t\t\tclusterInfo.diskSize)\n 211→\n 212→\t\tcit.numJobs += clusterInfo.numJobs\n 213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n 214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n 215→\t\tcit.diskSize += clusterInfo.diskSize\n 216→\t}\n 217→\n 218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n 219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n 220→\tw.Flush()\n 221→}\n 222→\n 223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n 224→\tvar count int\n 225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n 227→\treturn err == nil && count > 0\n 228→}\n 229→\n 230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n 231→\tvar metaBlob []byte\n 232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n 234→\tif err != nil {\n 235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n 236→\t\treturn nil, err\n 237→\t}\n 238→\n 239→\tif config.Keys.Validate {\n 240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n 241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n 242→\t\t}\n 243→\t}\n 244→\n 245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n 246→}\n 247→\n 248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n 249→\tvar dataBlob []byte\n 250→\tvar compressed bool\n 251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 253→\tif err != nil {\n 254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n 255→\t\treturn nil, err\n 256→\t}\n 257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 258→\n 259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n 260→\tif compressed {\n 261→\t\tgzipReader, err := gzip.NewReader(reader)\n 262→\t\tif err != nil {\n 263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n 264→\t\t\treturn nil, err\n 265→\t\t}\n 266→\t\tdefer gzipReader.Close()\n 267→\t\treader = gzipReader\n 268→\t}\n 269→\n 270→\tif config.Keys.Validate {\n 271→\t\tdata, _ := io.ReadAll(reader)\n 272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n 273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n 274→\t\t}\n 275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n 276→\t}\n 277→\n 278→\treturn DecodeJobData(reader, key)\n 279→}\n 280→\n 281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n 282→\tvar dataBlob []byte\n 283→\tvar compressed bool\n 284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 286→\tif err != nil {\n 287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n 288→\t\treturn nil, err\n 289→\t}\n 290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 291→\n 292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n 293→\tif compressed {\n 294→\t\tgzipReader, err := gzip.NewReader(reader)\n 295→\t\tif err != nil {\n 296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n 297→\t\t\treturn nil, err\n 298→\t\t}\n 299→\t\tdefer gzipReader.Close()\n 300→\t\treader = gzipReader\n 301→\t}\n 302→\n 303→\tif config.Keys.Validate {\n 304→\t\tdata, _ := io.ReadAll(reader)\n 305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n 306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n 307→\t\t}\n 308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n 309→\t}\n 310→\n 311→\treturn DecodeJobStats(reader, key)\n 312→}\n 313→\n 314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n 315→\tvar configBlob []byte\n 316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n 317→\tif err != nil {\n 318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n 319→\t\treturn nil, err\n 320→\t}\n 321→\n 322→\tif config.Keys.Validate {\n 323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n 324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n 325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n 326→\t\t}\n 327→\t}\n 328→\n 329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n 330→}\n 331→\n 332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n 333→\tvar metaBuf bytes.Buffer\n 334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n 335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n 336→\t\treturn err\n 337→\t}\n 338→\n 339→\tnow := time.Now().Unix()\n 340→\t_, err := sa.db.Exec(`\n 341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n 342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n 343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n 344→\t\t\tmeta_json = excluded.meta_json,\n 345→\t\t\tupdated_at = excluded.updated_at\n 346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n 347→\tif err != nil {\n 348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n 349→\t\treturn err\n 350→\t}\n 351→\n 352→\treturn nil\n 353→}\n 354→\n 355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n 356→\tvar metaBuf, dataBuf bytes.Buffer\n 357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n 358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n 359→\t\treturn err\n 360→\t}\n 361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n 362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n 363→\t\treturn err\n 364→\t}\n 365→\n 366→\tvar dataBytes []byte\n 367→\tvar compressed bool\n 368→\n 369→\tif dataBuf.Len() > 2000 {\n 370→\t\tvar compressedBuf bytes.Buffer\n 371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n 372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n 373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n 374→\t\t\treturn err\n 375→\t\t}\n 376→\t\tif err := gzipWriter.Close(); err != nil {\n 377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n 378→\t\t\treturn err\n 379→\t\t}\n 380→\t\tdataBytes = compressedBuf.Bytes()\n 381→\t\tcompressed = true\n 382→\t} else {\n 383→\t\tdataBytes = dataBuf.Bytes()\n 384→\t\tcompressed = false\n 385→\t}\n 386→\n 387→\tnow := time.Now().Unix()\n 388→\t_, err := sa.db.Exec(`\n 389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n 390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n 391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n 392→\t\t\tmeta_json = excluded.meta_json,\n 393→\t\t\tdata_json = excluded.data_json,\n 394→\t\t\tdata_compressed = excluded.data_compressed,\n 395→\t\t\tupdated_at = excluded.updated_at\n 396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n 397→\tif err != nil {\n 398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n 399→\t\treturn err\n 400→\t}\n 401→\n 402→\treturn nil\n 403→}\n 404→\n 405→func (sa *SqliteArchive) GetClusters() []string {\n 406→\treturn sa.clusters\n 407→}\n 408→\n 409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n 410→\tstart := time.Now()\n 411→\tcount := 0\n 412→\n 413→\ttx, err := sa.db.Begin()\n 414→\tif err != nil {\n 415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n 416→\t\treturn\n 417→\t}\n 418→\tdefer tx.Rollback()\n 419→\n 420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n 421→\tif err != nil {\n 422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n 423→\t\treturn\n 424→\t}\n 425→\tdefer stmt.Close()\n 426→\n 427→\tfor _, job := range jobs {\n 428→\t\tif job == nil {\n 429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n 430→\t\t\tcontinue\n 431→\t\t}\n 432→\n 433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n 434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n 435→\t\t} else {\n 436→\t\t\tcount++\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tif err := tx.Commit(); err != nil {\n 441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n 442→\t\treturn\n 443→\t}\n 444→\n 445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n 446→}\n 447→\n 448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n 449→\t// For SQLite, \"move\" means updating the cluster field or similar\n 450→\t// This is interpretation-dependent; for now we'll just log\n 451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n 452→}\n 453→\n 454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n 455→\tif after == 0 {\n 456→\t\tafter = math.MaxInt64\n 457→\t}\n 458→\n 459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n 460→\tif err != nil {\n 461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n 462→\t}\n 463→\n 464→\trowsAffected, _ := result.RowsAffected()\n 465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n 466→}\n 467→\n 468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n 469→\tvar cnt int\n 470→\tstart := time.Now()\n 471→\n 472→\ttx, err := sa.db.Begin()\n 473→\tif err != nil {\n 474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n 475→\t\treturn\n 476→\t}\n 477→\tdefer tx.Rollback()\n 478→\n 479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n 480→\tif err != nil {\n 481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n 482→\t\treturn\n 483→\t}\n 484→\tdefer stmt.Close()\n 485→\n 486→\tfor _, job := range jobs {\n 487→\t\tvar dataBlob []byte\n 488→\t\tvar compressed bool\n 489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n 492→\t\t\tcontinue // Skip if error, already compressed, or too small\n 493→\t\t}\n 494→\n 495→\t\t// Compress the data\n 496→\t\tvar compressedBuf bytes.Buffer\n 497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n 498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n 499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n 500→\t\t\tgzipWriter.Close()\n 501→\t\t\tcontinue\n 502→\t\t}\n 503→\t\tgzipWriter.Close()\n 504→\n 505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n 506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n 507→\t\t} else {\n 508→\t\t\tcnt++\n 509→\t\t}\n 510→\t}\n 511→\n 512→\tif err := tx.Commit(); err != nil {\n 513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n 514→\t\treturn\n 515→\t}\n 516→\n 517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n 518→}\n 519→\n 520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n 521→\tvar lastStr string\n 522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n 523→\n 524→\tvar last int64\n 525→\tif err == sql.ErrNoRows {\n 526→\t\tlast = starttime\n 527→\t} else if err != nil {\n 528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n 529→\t\tlast = starttime\n 530→\t} else {\n 531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n 532→\t\tif err != nil {\n 533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n 534→\t\t\tlast = starttime\n 535→\t\t}\n 536→\t}\n 537→\n 538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n 539→\n 540→\t// Update timestamp\n 541→\t_, err = sa.db.Exec(`\n 542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n 543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n 544→\t`, fmt.Sprintf(\"%d\", starttime))\n 545→\tif err != nil {\n 546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n 547→\t}\n 548→\n 549→\treturn last\n 550→}\n 551→\n 552→type sqliteJobRow struct {\n 553→\tmetaBlob []byte\n 554→\tdataBlob []byte\n 555→\tcompressed bool\n 556→}\n 557→\n 558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n 559→\tch := make(chan JobContainer)\n 560→\n 561→\tgo func() {\n 562→\t\tdefer close(ch)\n 563→\n 564→\t\tconst chunkSize = 1000\n 565→\t\toffset := 0\n 566→\n 567→\t\tvar query string\n 568→\t\tif loadMetricData {\n 569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n 570→\t\t} else {\n 571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n 572→\t\t}\n 573→\n 574→\t\tnumWorkers := 4\n 575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n 576→\t\tvar wg sync.WaitGroup\n 577→\n 578→\t\tfor range numWorkers {\n 579→\t\t\twg.Go(func() {\n 580→\t\t\t\tfor row := range jobRows {\n 581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n 582→\t\t\t\t\tif err != nil {\n 583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n 584→\t\t\t\t\t\tcontinue\n 585→\t\t\t\t\t}\n 586→\n 587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n 588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n 589→\t\t\t\t\t\tif row.compressed {\n 590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n 591→\t\t\t\t\t\t\tif err != nil {\n 592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n 593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 594→\t\t\t\t\t\t\t\tcontinue\n 595→\t\t\t\t\t\t\t}\n 596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n 597→\t\t\t\t\t\t\tgzipReader.Close()\n 598→\t\t\t\t\t\t\tif err != nil {\n 599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n 600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 601→\t\t\t\t\t\t\t\tcontinue\n 602→\t\t\t\t\t\t\t}\n 603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n 604→\t\t\t\t\t\t}\n 605→\n 606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n 608→\t\t\t\t\t\tif err != nil {\n 609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n 610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 611→\t\t\t\t\t\t} else {\n 612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n 613→\t\t\t\t\t\t}\n 614→\t\t\t\t\t} else {\n 615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 616→\t\t\t\t\t}\n 617→\t\t\t\t}\n 618→\t\t\t})\n 619→\t\t}\n 620→\n 621→\t\tfor {\n 622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n 623→\t\t\tif err != nil {\n 624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n 625→\t\t\t}\n 626→\n 627→\t\t\trowCount := 0\n 628→\t\t\tfor rows.Next() {\n 629→\t\t\t\tvar row sqliteJobRow\n 630→\n 631→\t\t\t\tif loadMetricData {\n 632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n 633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n 634→\t\t\t\t\t\tcontinue\n 635→\t\t\t\t\t}\n 636→\t\t\t\t} else {\n 637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n 638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n 639→\t\t\t\t\t\tcontinue\n 640→\t\t\t\t\t}\n 641→\t\t\t\t\trow.dataBlob = nil\n 642→\t\t\t\t\trow.compressed = false\n 643→\t\t\t\t}\n 644→\n 645→\t\t\t\tjobRows <- row\n 646→\t\t\t\trowCount++\n 647→\t\t\t}\n 648→\t\t\trows.Close()\n 649→\n 650→\t\t\tif rowCount < chunkSize {\n 651→\t\t\t\tbreak\n 652→\t\t\t}\n 653→\n 654→\t\t\toffset += chunkSize\n 655→\t\t}\n 656→\n 657→\t\tclose(jobRows)\n 658→\t\twg.Wait()\n 659→\t}()\n 660→\n 661→\treturn ch\n 662→}\n 663→\n 664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n 665→\tvar configBuf bytes.Buffer\n 666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n 667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n 668→\t\treturn err\n 669→\t}\n 670→\n 671→\tnow := time.Now().Unix()\n 672→\t_, err := sa.db.Exec(`\n 673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n 674→\t\tVALUES (?, ?, ?)\n 675→\t\tON CONFLICT(name) DO UPDATE SET\n 676→\t\t\tconfig_json = excluded.config_json,\n 677→\t\t\tupdated_at = excluded.updated_at\n 678→\t`, name, configBuf.Bytes(), now)\n 679→\tif err != nil {\n 680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n 681→\t\treturn err\n 682→\t}\n 683→\n 684→\t// Update clusters list if new\n 685→\tfound := slices.Contains(sa.clusters, name)\n 686→\tif !found {\n 687→\t\tsa.clusters = append(sa.clusters, name)\n 688→\t}\n 689→\n 690→\treturn nil\n 691→}\n 692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb *sql.DB // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n job_id INTEGER NOT NULL,\n cluster TEXT NOT NULL,\n start_time INTEGER NOT NULL,\n meta_json BLOB NOT NULL,\n data_json BLOB,\n data_compressed BOOLEAN DEFAULT 0,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL,\n UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n name TEXT PRIMARY KEY,\n config_json BLOB NOT NULL,\n updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n key TEXT PRIMARY KEY,\n value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs: numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast: dateLast,\n\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob []byte\n\tdataBlob []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RUChJr4277fRqYrmyucysh","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","timestamp":"2026-03-16T10:12:40.900Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RUChJr4277fRqYrmyucysh","toolUseID":"toolu_01RUChJr4277fRqYrmyucysh","timestamp":"2026-03-16T10:12:41.123Z","uuid":"bd8768f9-8c15-4589-8610-5850b4638227","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2188f7a5-cd29-489c-9a95-04382c575155","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","timestamp":"2026-03-16T10:12:41.382Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SbAkMWCk98L7vU7dNCyC7L","toolUseID":"toolu_01SbAkMWCk98L7vU7dNCyC7L","timestamp":"2026-03-16T10:12:41.400Z","uuid":"cafcb518-9cb5-4b1d-9394-e9340ec77c79","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→}\n 68→\n 69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 70→func NewNatsAPI() *NatsAPI {\n 71→\treturn &NatsAPI{\n 72→\t\tJobRepository: repository.GetJobRepository(),\n 73→\t}\n 74→}\n 75→\n 76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 77→// Returns an error if the NATS client is not available or subscription fails.\n 78→func (api *NatsAPI) StartSubscriptions() error {\n 79→\tclient := nats.GetClient()\n 80→\tif client == nil {\n 81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif config.Keys.APISubjects != nil {\n 86→\n 87→\t\ts := config.Keys.APISubjects\n 88→\n 89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 90→\t\t\treturn err\n 91→\t\t}\n 92→\n 93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 94→\t\t\treturn err\n 95→\t\t}\n 96→\n 97→\t\tcclog.Info(\"NATS API subscriptions started\")\n 98→\t}\n 99→\treturn nil\n 100→}\n 101→\n 102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 103→// Validates that required tags and fields are present before processing.\n 104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 105→\tfunction, ok := msg.GetTag(\"function\")\n 106→\tif !ok {\n 107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 108→\t\treturn\n 109→\t}\n 110→\n 111→\tswitch function {\n 112→\tcase \"start_job\":\n 113→\t\tv, ok := msg.GetEventValue()\n 114→\t\tif !ok {\n 115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 116→\t\t\treturn\n 117→\t\t}\n 118→\t\tapi.handleStartJob(v)\n 119→\n 120→\tcase \"stop_job\":\n 121→\t\tv, ok := msg.GetEventValue()\n 122→\t\tif !ok {\n 123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 124→\t\t\treturn\n 125→\t\t}\n 126→\t\tapi.handleStopJob(v)\n 127→\n 128→\tdefault:\n 129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 130→\t}\n 131→}\n 132→\n 133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 134→// The message must be in line protocol format with measurement=\"job\" and include:\n 135→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 136→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 137→//\n 138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 140→\tif len(data) == 0 {\n 141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 142→\t\treturn\n 143→\t}\n 144→\n 145→\td := influx.NewDecoderWithBytes(data)\n 146→\n 147→\tfor d.Next() {\n 148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 149→\t\tif err != nil {\n 150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 151→\t\t\treturn\n 152→\t\t}\n 153→\n 154→\t\tif !m.IsEvent() {\n 155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 156→\t\t\tcontinue\n 157→\t\t}\n 158→\n 159→\t\tif m.Name() == \"job\" {\n 160→\t\t\tapi.processJobEvent(m)\n 161→\t\t} else {\n 162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 163→\t\t}\n 164→\t}\n 165→}\n 166→\n 167→// handleStartJob processes job start messages received via NATS.\n 168→// The payload parameter contains JSON following the schema.Job structure.\n 169→// Jobs are validated, checked for duplicates, and inserted into the database.\n 170→func (api *NatsAPI) handleStartJob(payload string) {\n 171→\tif payload == \"\" {\n 172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 173→\t\treturn\n 174→\t}\n 175→\treq := schema.Job{\n 176→\t\tShared: \"none\",\n 177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 178→\t}\n 179→\n 180→\tdec := json.NewDecoder(strings.NewReader(payload))\n 181→\tdec.DisallowUnknownFields()\n 182→\tif err := dec.Decode(&req); err != nil {\n 183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 184→\t\treturn\n 185→\t}\n 186→\n 187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 188→\treq.State = schema.JobStateRunning\n 189→\n 190→\tif err := importer.SanityChecks(&req); err != nil {\n 191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 192→\t\treturn\n 193→\t}\n 194→\n 195→\tvar unlockOnce sync.Once\n 196→\tapi.RepositoryMutex.Lock()\n 197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 198→\n 199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 200→\tif err != nil && err != sql.ErrNoRows {\n 201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 202→\t\treturn\n 203→\t}\n 204→\tif err == nil {\n 205→\t\tfor _, job := range jobs {\n 206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 209→\t\t\t\treturn\n 210→\t\t\t}\n 211→\t\t}\n 212→\t}\n 213→\n 214→\t// When tags are present, insert directly into the job table so that the\n 215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 216→\tvar id int64\n 217→\tif len(req.Tags) > 0 {\n 218→\t\tid, err = api.JobRepository.StartDirect(&req)\n 219→\t} else {\n 220→\t\tid, err = api.JobRepository.Start(&req)\n 221→\t}\n 222→\tif err != nil {\n 223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 224→\t\treturn\n 225→\t}\n 226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 227→\n 228→\tfor _, tag := range req.Tags {\n 229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 231→\t\t\treturn\n 232→\t\t}\n 233→\t}\n 234→\n 235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 237→}\n 238→\n 239→// handleStopJob processes job stop messages received via NATS.\n 240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 242→func (api *NatsAPI) handleStopJob(payload string) {\n 243→\tif payload == \"\" {\n 244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 245→\t\treturn\n 246→\t}\n 247→\tvar req StopJobAPIRequest\n 248→\n 249→\tdec := json.NewDecoder(strings.NewReader(payload))\n 250→\tdec.DisallowUnknownFields()\n 251→\tif err := dec.Decode(&req); err != nil {\n 252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 253→\t\treturn\n 254→\t}\n 255→\n 256→\tif req.JobID == nil {\n 257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 258→\t\treturn\n 259→\t}\n 260→\n 261→\tisCached := false\n 262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 263→\tif err != nil {\n 264→\t\t// Not in cache, try main job table\n 265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 266→\t\tif err != nil {\n 267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 268→\t\t\treturn\n 269→\t\t}\n 270→\t} else {\n 271→\t\tisCached = true\n 272→\t}\n 273→\n 274→\tif job.State != schema.JobStateRunning {\n 275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 277→\t\treturn\n 278→\t}\n 279→\n 280→\tif job.StartTime > req.StopTime {\n 281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 283→\t\treturn\n 284→\t}\n 285→\n 286→\tif req.State != \"\" && !req.State.Valid() {\n 287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 289→\t\treturn\n 290→\t} else if req.State == \"\" {\n 291→\t\treq.State = schema.JobStateCompleted\n 292→\t}\n 293→\n 294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n 295→\tjob.State = req.State\n 296→\tapi.JobRepository.Mutex.Lock()\n 297→\tdefer api.JobRepository.Mutex.Unlock()\n 298→\n 299→\t// If the job is still in job_cache, transfer it to the job table first\n 300→\tif isCached {\n 301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n 302→\t\tif err != nil {\n 303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n 304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n 305→\t\t\treturn\n 306→\t\t}\n 307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n 308→\t\tjob.ID = &newID\n 309→\t}\n 310→\n 311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n 312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n 313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n 314→\t\treturn\n 315→\t}\n 316→\n 317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n 318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n 319→\n 320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n 321→\t\treturn\n 322→\t}\n 323→\n 324→\tarchiver.TriggerArchiving(job)\n 325→}\n 326→\n 327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 328→// Updates node states in the repository for all nodes in the payload.\n 329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 330→\tv, ok := msg.GetEventValue()\n 331→\tif !ok {\n 332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 333→\t\treturn\n 334→\t}\n 335→\n 336→\tvar req UpdateNodeStatesRequest\n 337→\n 338→\tdec := json.NewDecoder(strings.NewReader(v))\n 339→\tdec.DisallowUnknownFields()\n 340→\tif err := dec.Decode(&req); err != nil {\n 341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 342→\t\treturn\n 343→\t}\n 344→\n 345→\trepo := repository.GetNodeRepository()\n 346→\trequestReceived := time.Now().Unix()\n 347→\n 348→\tfor _, node := range req.Nodes {\n 349→\t\tstate := determineState(node.States)\n 350→\t\tnodeState := schema.NodeStateDB{\n 351→\t\t\tTimeStamp: requestReceived,\n 352→\t\t\tNodeState: state,\n 353→\t\t\tCpusAllocated: node.CpusAllocated,\n 354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 355→\t\t\tGpusAllocated: node.GpusAllocated,\n 356→\t\t\tHealthState: schema.MonitoringStateFull,\n 357→\t\t\tJobsRunning: node.JobsRunning,\n 358→\t\t}\n 359→\n 360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n 361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n 362→\t\t\t\tnode.Hostname, req.Cluster, err)\n 363→\t\t}\n 364→\t}\n 365→\n 366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 367→}\n 368→\n 369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 371→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 372→//\n 373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 375→\tif len(data) == 0 {\n 376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 377→\t\treturn\n 378→\t}\n 379→\n 380→\td := influx.NewDecoderWithBytes(data)\n 381→\n 382→\tfor d.Next() {\n 383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 384→\t\tif err != nil {\n 385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 386→\t\t\treturn\n 387→\t\t}\n 388→\n 389→\t\tif !m.IsEvent() {\n 390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 391→\t\t\tcontinue\n 392→\t\t}\n 393→\n 394→\t\tif m.Name() == \"nodestate\" {\n 395→\t\t\tapi.processNodestateEvent(m)\n 396→\t\t} else {\n 397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 398→\t\t}\n 399→\t}\n 400→}\n 401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","toolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","timestamp":"2026-03-16T10:12:41.843Z","uuid":"9129b1db-0ee2-467a-9ec9-212b396d1bb4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tfor _, node := range req.Nodes {\n 120→\t\tstate := determineState(node.States)\n 121→\t\thealthState := schema.MonitoringStateFailed\n 122→\t\tvar healthMetrics string\n 123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 124→\t\t\thealthState = result.State\n 125→\t\t\thealthMetrics = result.HealthMetrics\n 126→\t\t}\n 127→\t\tnodeState := schema.NodeStateDB{\n 128→\t\t\tTimeStamp: requestReceived,\n 129→\t\t\tNodeState: state,\n 130→\t\t\tCpusAllocated: node.CpusAllocated,\n 131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 132→\t\t\tGpusAllocated: node.GpusAllocated,\n 133→\t\t\tHealthState: healthState,\n 134→\t\t\tHealthMetrics: healthMetrics,\n 135→\t\t\tJobsRunning: node.JobsRunning,\n 136→\t\t}\n 137→\n 138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n 139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n 140→\t\t\t\tnode.Hostname, req.Cluster, err)\n 141→\t\t}\n 142→\t}\n 143→\n 144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 145→}\n 146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","timestamp":"2026-03-16T10:12:42.245Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","toolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","timestamp":"2026-03-16T10:12:42.250Z","uuid":"8ec2b218-0906-411c-a125-b9d46a9cbf93","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\tdefer rows.Close()\n 106→\n 107→\tfor rows.Next() {\n 108→\t\tvar username string\n 109→\t\tif err := rows.Scan(&username); err != nil {\n 110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 111→\t\t\treturn nil, err\n 112→\t\t}\n 113→\n 114→\t\tusers = append(users, username)\n 115→\t}\n 116→\n 117→\treturn users, nil\n 118→}\n 119→\n 120→// AddUser creates a new user in the database.\n 121→// Passwords are automatically hashed with bcrypt before storage.\n 122→// Auth source determines authentication method (local, LDAP, etc.).\n 123→//\n 124→// Required fields: Username, Roles\n 125→// Optional fields: Name, Email, Password, Projects, AuthSource\n 126→func (r *UserRepository) AddUser(user *schema.User) error {\n 127→\trolesJson, _ := json.Marshal(user.Roles)\n 128→\tprojectsJson, _ := json.Marshal(user.Projects)\n 129→\n 130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 132→\n 133→\tif user.Name != \"\" {\n 134→\t\tcols = append(cols, \"name\")\n 135→\t\tvals = append(vals, user.Name)\n 136→\t}\n 137→\tif user.Email != \"\" {\n 138→\t\tcols = append(cols, \"email\")\n 139→\t\tvals = append(vals, user.Email)\n 140→\t}\n 141→\tif user.Password != \"\" {\n 142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 143→\t\tif err != nil {\n 144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 145→\t\t\treturn err\n 146→\t\t}\n 147→\t\tcols = append(cols, \"password\")\n 148→\t\tvals = append(vals, string(password))\n 149→\t}\n 150→\tif user.AuthSource != -1 {\n 151→\t\tcols = append(cols, \"ldap\")\n 152→\t\tvals = append(vals, int(user.AuthSource))\n 153→\t}\n 154→\n 155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 157→\t\treturn err\n 158→\t}\n 159→\n 160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 161→\n 162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 164→\tif err != nil {\n 165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 166→\t} else if defaultMetricsCfg != nil {\n 167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 170→\t\t\tif err != nil {\n 171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 172→\t\t\t\tcontinue\n 173→\t\t\t}\n 174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 176→\t\t\tif _, err := sq.Insert(\"configuration\").\n 177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 181→\t\t\t} else {\n 182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 183→\t\t\t}\n 184→\t\t}\n 185→\t}\n 186→\t// END DEPRECATION\n 187→\n 188→\treturn nil\n 189→}\n 190→\n 191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 192→\t// user contains updated info -> Apply to dbUser\n 193→\t// --- Simple Name Update ---\n 194→\tif dbUser.Name != user.Name {\n 195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 197→\t\t\treturn err\n 198→\t\t}\n 199→\t}\n 200→\n 201→\t// --- Def Helpers ---\n 202→\t// Helper to update roles\n 203→\tupdateRoles := func(roles []string) error {\n 204→\t\trolesJSON, _ := json.Marshal(roles)\n 205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 206→\t\treturn err\n 207→\t}\n 208→\n 209→\t// Helper to update projects\n 210→\tupdateProjects := func(projects []string) error {\n 211→\t\tprojectsJSON, _ := json.Marshal(projects)\n 212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 213→\t\treturn err\n 214→\t}\n 215→\n 216→\t// Helper to clear projects\n 217→\tclearProjects := func() error {\n 218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// --- Manager Role Handling ---\n 223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 224→\t\t// Existing Manager: update projects\n 225→\t\tif err := updateProjects(user.Projects); err != nil {\n 226→\t\t\treturn err\n 227→\t\t}\n 228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 229→\t\t// New Manager: update roles and projects\n 230→\t\tif err := updateRoles(user.Roles); err != nil {\n 231→\t\t\treturn err\n 232→\t\t}\n 233→\t\tif err := updateProjects(user.Projects); err != nil {\n 234→\t\t\treturn err\n 235→\t\t}\n 236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 237→\t\t// Remove Manager: update roles and clear projects\n 238→\t\tif err := updateRoles(user.Roles); err != nil {\n 239→\t\t\treturn err\n 240→\t\t}\n 241→\t\tif err := clearProjects(); err != nil {\n 242→\t\t\treturn err\n 243→\t\t}\n 244→\t}\n 245→\n 246→\t// --- Support Role Handling ---\n 247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 249→\t\t// New Support: update roles\n 250→\t\tif err := updateRoles(user.Roles); err != nil {\n 251→\t\t\treturn err\n 252→\t\t}\n 253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 254→\t\t// Remove Support: update roles\n 255→\t\tif err := updateRoles(user.Roles); err != nil {\n 256→\t\t\treturn err\n 257→\t\t}\n 258→\t}\n 259→\n 260→\treturn nil\n 261→}\n 262→\n 263→func (r *UserRepository) DelUser(username string) error {\n 264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 265→\tif err != nil {\n 266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 267→\t\treturn err\n 268→\t}\n 269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 270→\treturn nil\n 271→}\n 272→\n 273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 275→\tif specialsOnly {\n 276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 277→\t}\n 278→\n 279→\trows, err := q.RunWith(r.DB).Query()\n 280→\tif err != nil {\n 281→\t\tcclog.Warn(\"Error while querying user list\")\n 282→\t\treturn nil, err\n 283→\t}\n 284→\n 285→\tusers := make([]*schema.User, 0)\n 286→\tdefer rows.Close()\n 287→\tfor rows.Next() {\n 288→\t\trawroles := \"\"\n 289→\t\trawprojects := \"\"\n 290→\t\tuser := &schema.User{}\n 291→\t\tvar name, email sql.NullString\n 292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 294→\t\t\treturn nil, err\n 295→\t\t}\n 296→\n 297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 299→\t\t\treturn nil, err\n 300→\t\t}\n 301→\n 302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 303→\t\t\treturn nil, err\n 304→\t\t}\n 305→\n 306→\t\tuser.Name = name.String\n 307→\t\tuser.Email = email.String\n 308→\t\tusers = append(users, user)\n 309→\t}\n 310→\treturn users, nil\n 311→}\n 312→\n 313→// AddRole adds a role to a user's role list.\n 314→// Role string is automatically lowercased.\n 315→// Valid roles: admin, support, manager, api, user\n 316→//\n 317→// Returns error if:\n 318→// - User doesn't exist\n 319→// - Role is invalid\n 320→// - User already has the role\n 321→func (r *UserRepository) AddRole(\n 322→\tctx context.Context,\n 323→\tusername string,\n 324→\tqueryrole string,\n 325→) error {\n 326→\tnewRole := strings.ToLower(queryrole)\n 327→\tuser, err := r.GetUser(username)\n 328→\tif err != nil {\n 329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 330→\t\treturn err\n 331→\t}\n 332→\n 333→\texists, valid := user.HasValidRole(newRole)\n 334→\n 335→\tif !valid {\n 336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 337→\t}\n 338→\tif exists {\n 339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 340→\t}\n 341→\n 342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 345→\t\treturn err\n 346→\t}\n 347→\treturn nil\n 348→}\n 349→\n 350→// RemoveRole removes a role from a user's role list.\n 351→//\n 352→// Special rules:\n 353→// - Cannot remove \"manager\" role while user has assigned projects\n 354→// - Must remove all projects first before removing manager role\n 355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 356→\toldRole := strings.ToLower(queryrole)\n 357→\tuser, err := r.GetUser(username)\n 358→\tif err != nil {\n 359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 360→\t\treturn err\n 361→\t}\n 362→\n 363→\texists, valid := user.HasValidRole(oldRole)\n 364→\n 365→\tif !valid {\n 366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 367→\t}\n 368→\tif !exists {\n 369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 370→\t}\n 371→\n 372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 374→\t}\n 375→\n 376→\tvar newroles []string\n 377→\tfor _, r := range user.Roles {\n 378→\t\tif r != oldRole {\n 379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 380→\t\t}\n 381→\t}\n 382→\n 383→\tmroles, _ := json.Marshal(newroles)\n 384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 386→\t\treturn err\n 387→\t}\n 388→\treturn nil\n 389→}\n 390→\n 391→// AddProject assigns a project to a manager user.\n 392→// Only users with the \"manager\" role can have assigned projects.\n 393→//\n 394→// Returns error if:\n 395→// - User doesn't have manager role\n 396→// - User already manages the project\n 397→func (r *UserRepository) AddProject(\n 398→\tctx context.Context,\n 399→\tusername string,\n 400→\tproject string,\n 401→) error {\n 402→\tuser, err := r.GetUser(username)\n 403→\tif err != nil {\n 404→\t\treturn err\n 405→\t}\n 406→\n 407→\tif !user.HasRole(schema.RoleManager) {\n 408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 409→\t}\n 410→\n 411→\tif user.HasProject(project) {\n 412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 413→\t}\n 414→\n 415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 417→\t\treturn err\n 418→\t}\n 419→\n 420→\treturn nil\n 421→}\n 422→\n 423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 424→\tuser, err := r.GetUser(username)\n 425→\tif err != nil {\n 426→\t\treturn err\n 427→\t}\n 428→\n 429→\tif !user.HasRole(schema.RoleManager) {\n 430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 431→\t}\n 432→\n 433→\tif !user.HasProject(project) {\n 434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 435→\t}\n 436→\n 437→\tvar exists bool\n 438→\tvar newprojects []string\n 439→\tfor _, p := range user.Projects {\n 440→\t\tif p != project {\n 441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 442→\t\t} else {\n 443→\t\t\texists = true\n 444→\t\t}\n 445→\t}\n 446→\n 447→\tif exists {\n 448→\t\tvar result any\n 449→\t\tif len(newprojects) == 0 {\n 450→\t\t\tresult = \"[]\"\n 451→\t\t} else {\n 452→\t\t\tresult, _ = json.Marshal(newprojects)\n 453→\t\t}\n 454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 455→\t\t\treturn err\n 456→\t\t}\n 457→\t\treturn nil\n 458→\t} else {\n 459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 460→\t}\n 461→}\n 462→\n 463→type ContextKey string\n 464→\n 465→const ContextUserKey ContextKey = \"user\"\n 466→\n 467→func GetUserFromContext(ctx context.Context) *schema.User {\n 468→\tx := ctx.Value(ContextUserKey)\n 469→\tif x == nil {\n 470→\t\tcclog.Warnf(\"no user retrieved from context\")\n 471→\t\treturn nil\n 472→\t}\n 473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 474→\treturn x.(*schema.User)\n 475→}\n 476→\n 477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 478→\tme := GetUserFromContext(ctx)\n 479→\tif me != nil && me.Username != username &&\n 480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 481→\t\treturn nil, errors.New(\"forbidden\")\n 482→\t}\n 483→\n 484→\tuser := &model.User{Username: username}\n 485→\tvar name, email sql.NullString\n 486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 488→\t\tif err == sql.ErrNoRows {\n 489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 492→\t\t\treturn nil, nil\n 493→\t\t}\n 494→\n 495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 496→\t\treturn nil, err\n 497→\t}\n 498→\n 499→\tuser.Name = name.String\n 500→\tuser.Email = email.String\n 501→\treturn user, nil\n 502→}\n 503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","timestamp":"2026-03-16T10:12:42.708Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","toolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","timestamp":"2026-03-16T10:12:42.716Z","uuid":"5244ba36-70c4-4a68-9b01-d3cd9e9c9030","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package auth\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"net\"\n 11→\t\"net/http\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\t\"time\"\n 15→\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 19→\t\"github.com/go-ldap/ldap/v3\"\n 20→)\n 21→\n 22→type LdapConfig struct {\n 23→\tURL string `json:\"url\"`\n 24→\tUserBase string `json:\"user-base\"`\n 25→\tSearchDN string `json:\"search-dn\"`\n 26→\tUserBind string `json:\"user-bind\"`\n 27→\tUserFilter string `json:\"user-filter\"`\n 28→\tUserAttr string `json:\"username-attr\"`\n 29→\tUIDAttr string `json:\"uid-attr\"`\n 30→\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n 31→\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n 32→\n 33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n 34→\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n 35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n 36→}\n 37→\n 38→type LdapAuthenticator struct {\n 39→\tsyncPassword string\n 40→\tUserAttr string\n 41→\tUIDAttr string\n 42→}\n 43→\n 44→var _ Authenticator = (*LdapAuthenticator)(nil)\n 45→\n 46→func (la *LdapAuthenticator) Init() error {\n 47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n 48→\tif la.syncPassword == \"\" {\n 49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n 50→\t}\n 51→\n 52→\tif Keys.LdapConfig.UserAttr != \"\" {\n 53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n 54→\t} else {\n 55→\t\tla.UserAttr = \"gecos\"\n 56→\t}\n 57→\n 58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n 59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n 60→\t} else {\n 61→\t\tla.UIDAttr = \"uid\"\n 62→\t}\n 63→\n 64→\treturn nil\n 65→}\n 66→\n 67→func (la *LdapAuthenticator) CanLogin(\n 68→\tuser *schema.User,\n 69→\tusername string,\n 70→\trw http.ResponseWriter,\n 71→\tr *http.Request,\n 72→) (*schema.User, bool) {\n 73→\tlc := Keys.LdapConfig\n 74→\n 75→\tif user != nil {\n 76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n 77→\t\t\treturn user, true\n 78→\t\t}\n 79→\t} else if lc.SyncUserOnLogin {\n 80→\t\tl, err := la.getLdapConnection(true)\n 81→\t\tif err != nil {\n 82→\t\t\tcclog.Error(\"LDAP connection error\")\n 83→\t\t\treturn nil, false\n 84→\t\t}\n 85→\t\tdefer l.Close()\n 86→\n 87→\t\t// Search for the given username\n 88→\t\tsearchRequest := ldap.NewSearchRequest(\n 89→\t\t\tlc.UserBase,\n 90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n 91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n 92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n 93→\n 94→\t\tsr, err := l.Search(searchRequest)\n 95→\t\tif err != nil {\n 96→\t\t\tcclog.Warn(err)\n 97→\t\t\treturn nil, false\n 98→\t\t}\n 99→\n 100→\t\tif len(sr.Entries) != 1 {\n 101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n 102→\t\t\treturn nil, false\n 103→\t\t}\n 104→\n 105→\t\tentry := sr.Entries[0]\n 106→\t\tuser = &schema.User{\n 107→\t\t\tUsername: username,\n 108→\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n 109→\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n 110→\t\t\tProjects: make([]string, 0),\n 111→\t\t\tAuthType: schema.AuthSession,\n 112→\t\t\tAuthSource: schema.AuthViaLDAP,\n 113→\t\t}\n 114→\n 115→\t\thandleLdapUser(user)\n 116→\t\treturn user, true\n 117→\t}\n 118→\n 119→\treturn nil, false\n 120→}\n 121→\n 122→func (la *LdapAuthenticator) Login(\n 123→\tuser *schema.User,\n 124→\trw http.ResponseWriter,\n 125→\tr *http.Request,\n 126→) (*schema.User, error) {\n 127→\tl, err := la.getLdapConnection(false)\n 128→\tif err != nil {\n 129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n 130→\t\treturn nil, err\n 131→\t}\n 132→\tdefer l.Close()\n 133→\n 134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n 135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n 136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n 137→\t\t\tuser.Username, err)\n 138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n 139→\t}\n 140→\n 141→\treturn user, nil\n 142→}\n 143→\n 144→func (la *LdapAuthenticator) Sync() error {\n 145→\tconst InDB int = 1\n 146→\tconst InLdap int = 2\n 147→\tconst InBoth int = 3\n 148→\tur := repository.GetUserRepository()\n 149→\tlc := Keys.LdapConfig\n 150→\n 151→\tusers := map[string]int{}\n 152→\tusernames, err := ur.GetLdapUsernames()\n 153→\tif err != nil {\n 154→\t\treturn err\n 155→\t}\n 156→\n 157→\tfor _, username := range usernames {\n 158→\t\tusers[username] = InDB\n 159→\t}\n 160→\n 161→\tl, err := la.getLdapConnection(true)\n 162→\tif err != nil {\n 163→\t\tcclog.Error(\"LDAP connection error\")\n 164→\t\treturn err\n 165→\t}\n 166→\tdefer l.Close()\n 167→\n 168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n 169→\t\tlc.UserBase,\n 170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n 171→\t\tlc.UserFilter,\n 172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"LDAP search error\")\n 175→\t\treturn err\n 176→\t}\n 177→\n 178→\tnewnames := map[string]string{}\n 179→\tfor _, entry := range ldapResults.Entries {\n 180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n 181→\t\tif username == \"\" {\n 182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n 183→\t\t}\n 184→\n 185→\t\t_, ok := users[username]\n 186→\t\tif !ok {\n 187→\t\t\tusers[username] = InLdap\n 188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n 189→\t\t} else {\n 190→\t\t\tusers[username] = InBoth\n 191→\t\t}\n 192→\t}\n 193→\n 194→\tfor username, where := range users {\n 195→\t\tif where == InDB && lc.SyncDelOldUsers {\n 196→\t\t\tif err := ur.DelUser(username); err != nil {\n 197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n 198→\t\t\t\treturn err\n 199→\t\t\t}\n 200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n 201→\t\t} else if where == InLdap {\n 202→\t\t\tname := newnames[username]\n 203→\n 204→\t\t\tuser := &schema.User{\n 205→\t\t\t\tUsername: username,\n 206→\t\t\t\tName: name,\n 207→\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n 208→\t\t\t\tProjects: make([]string, 0),\n 209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n 210→\t\t\t}\n 211→\n 212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n 213→\t\t\tif err := ur.AddUser(user); err != nil {\n 214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n 215→\t\t\t\treturn err\n 216→\t\t\t}\n 217→\t\t}\n 218→\t}\n 219→\n 220→\treturn nil\n 221→}\n 222→\n 223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n 224→\tlc := Keys.LdapConfig\n 225→\tconn, err := ldap.DialURL(lc.URL,\n 226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n 227→\tif err != nil {\n 228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n 229→\t\treturn nil, err\n 230→\t}\n 231→\tconn.SetTimeout(30 * time.Second)\n 232→\n 233→\tif admin {\n 234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n 235→\t\t\tconn.Close()\n 236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n 237→\t\t\treturn nil, err\n 238→\t\t}\n 239→\t}\n 240→\n 241→\treturn conn, nil\n 242→}\n 243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL string `json:\"url\"`\n\tUserBase string `json:\"user-base\"`\n\tSearchDN string `json:\"search-dn\"`\n\tUserBind string `json:\"user-bind\"`\n\tUserFilter string `json:\"user-filter\"`\n\tUserAttr string `json:\"username-attr\"`\n\tUIDAttr string `json:\"uid-attr\"`\n\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr string\n\tUIDAttr string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername: username,\n\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects: make([]string, 0),\n\t\t\tAuthType: schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername: username,\n\t\t\t\tName: name,\n\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects: make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"output_tokens":612,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5523,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"e001baa9-61e4-45ac-b202-53caad8b525f","timestamp":"2026-03-16T10:12:42.897Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","toolUseID":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","timestamp":"2026-03-16T10:12:42.900Z","uuid":"45bfe7b4-262d-4568-9253-43644d5ae91f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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Let me implement all 5 fixes now.\n\n**Fix 1: busy_timeout** — config + connection + sqlite archive"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":46892,"cache_read_input_tokens":19821,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46892},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adsCPYAT9vZGRkhxpp","type":"assistant","uuid":"c2f29743-2fdd-492f-848b-696b290d9004","timestamp":"2026-03-16T10:12:50.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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duration before returning SQLITE_BUSY.\n\t// Default: 60000 (60 seconds)\n\tBusyTimeoutMs int\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. 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configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":[" // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive."," // Default: 16384 (16GB)"," DbSoftHeapLimitMB int","+","+ // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+ // When a write is blocked by another writer, SQLite retries internally","+ // using a backoff mechanism for up to this 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":[" connectionURLParams := make(url.Values)"," connectionURLParams.Add(\"_txlock\", \"immediate\")"," connectionURLParams.Add(\"_journal_mode\", \"WAL\")","- connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+ connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))"," connectionURLParams.Add(\"_synchronous\", \"NORMAL\")"," cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB"," connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4b0b2cf9-5197-4b79-9069-77d8684092c6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013VAzs3usxwd9iqdNSds5yz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","old_string":"\t\t\"PRAGMA busy_timeout=5000\",","new_string":"\t\t\"PRAGMA busy_timeout=60000\","},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":46892,"cache_read_input_tokens":19821,"output_tokens":1012,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":46892,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6adsCPYAT9vZGRkhxpp","type":"assistant","uuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","timestamp":"2026-03-16T10:13:00.499Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","toolUseID":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","timestamp":"2026-03-16T10:13:00.522Z","uuid":"d48763f7-188b-4f21-a369-ed9a3a41d910","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go has been updated successfully."}]},"uuid":"3a22cc93-0b68-43a4-963f-6c4264c043db","timestamp":"2026-03-16T10:13:00.521Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","oldString":"\t\t\"PRAGMA busy_timeout=5000\",","newString":"\t\t\"PRAGMA busy_timeout=60000\",","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb *sql.DB // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n job_id INTEGER NOT NULL,\n cluster TEXT NOT NULL,\n start_time INTEGER NOT NULL,\n meta_json BLOB NOT NULL,\n data_json BLOB,\n data_compressed BOOLEAN DEFAULT 0,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL,\n UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n name TEXT PRIMARY KEY,\n config_json BLOB NOT NULL,\n updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n key TEXT PRIMARY KEY,\n value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs: numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast: dateLast,\n\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob []byte\n\tdataBlob []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":[" \"PRAGMA journal_mode=WAL\","," \"PRAGMA synchronous=NORMAL\","," \"PRAGMA cache_size=-64000\", // 64MB cache","- \"PRAGMA busy_timeout=5000\",","+ \"PRAGMA busy_timeout=60000\","," }"," for _, pragma := range pragmas {"," if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3a22cc93-0b68-43a4-963f-6c4264c043db","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 3: LDAP sync race condition** — AddUserIfNotExists + ldap.go change"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","timestamp":"2026-03-16T10:13:04.234Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error 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successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":[" return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+ rolesJson, _ := json.Marshal(user.Roles)","+ projectsJson, _ := json.Marshal(user.Projects)","+","+ cols := \"username, name, roles, projects, ldap\"","+ _, err := r.DB.Exec(","+ `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+ user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+ return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"," // user contains updated info -> Apply to dbUser"," // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","old_string":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","new_string":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUserIfNotExists(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"output_tokens":670,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1320,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","timestamp":"2026-03-16T10:13:11.900Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","toolUseID":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","timestamp":"2026-03-16T10:13:11.919Z","uuid":"a8dd1f80-ed87-4690-9f9f-3cf8805f1647","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go has been updated successfully."}]},"uuid":"60b9808e-1da2-4813-8bfa-104d2aefc0d1","timestamp":"2026-03-16T10:13:11.919Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","oldString":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","newString":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUserIfNotExists(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL string `json:\"url\"`\n\tUserBase string `json:\"user-base\"`\n\tSearchDN string `json:\"search-dn\"`\n\tUserBind string `json:\"user-bind\"`\n\tUserFilter string `json:\"user-filter\"`\n\tUserAttr string `json:\"username-attr\"`\n\tUIDAttr string `json:\"uid-attr\"`\n\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr string\n\tUIDAttr string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername: username,\n\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects: make([]string, 0),\n\t\t\tAuthType: schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername: username,\n\t\t\t\tName: name,\n\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects: make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":[" }"," "," cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","- if err := ur.AddUser(user); err != nil {","+ if err := ur.AddUserIfNotExists(user); err != nil {"," cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)"," return err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"60b9808e-1da2-4813-8bfa-104d2aefc0d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GoH4v9tzVorrW7exUcgDbe","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 2: Batch node state updates** — add `BatchUpdateNodeStates` + update callers"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":68033,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":933},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ag1CuFAMnWQaJ4zzzt","type":"assistant","uuid":"f50efabf-a34d-4969-93fa-de94d4f3a97a","timestamp":"2026-03-16T10:13:14.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"7956bad8-245f-4be0-b117-98737a7e1662","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"f50efabf-a34d-4969-93fa-de94d4f3a97a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GoH4v9tzVorrW7exUcgDbe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","old_string":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","new_string":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname string\n\tCluster string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":68033,"output_tokens":1045,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":933,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ag1CuFAMnWQaJ4zzzt","type":"assistant","uuid":"7956bad8-245f-4be0-b117-98737a7e1662","timestamp":"2026-03-16T10:13:26.400Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","toolUseID":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","timestamp":"2026-03-16T10:13:26.419Z","uuid":"2d8929b5-19bf-4fef-bd1f-34081e8b96cb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname string\n\tCluster string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":[" return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+ Hostname string","+ Cluster string","+ NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+ }","+ defer tx.Rollback()","+","+ stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+ }","+ defer stmtLookup.Close()","+","+ stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+ }","+ defer stmtInsertNode.Close()","+","+ stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+ }","+ defer stmtInsertState.Close()","+","+ for _, u := range updates {","+ var id int64","+ if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+ if err == sql.ErrNoRows {","+ subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+ if scErr != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+ continue","+ }","+ node := schema.NodeDB{","+ Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+ }","+ res, insertErr := stmtInsertNode.Exec(&node)","+ if insertErr != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+ continue","+ }","+ id, _ = res.LastInsertId()","+ } else {","+ cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+ continue","+ }","+ }","+","+ u.NodeState.NodeID = id","+ if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+ }","+ }","+","+ if err := tx.Commit(); err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+ }","+ return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016MGS4ZM2fZX8FdvT5MkLmS","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to check if `archive` is already imported in `node.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1199,"cache_read_input_tokens":68966,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1199},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ah5EmkKHLQ3SuPtuuv","type":"assistant","uuid":"2dc573e6-0f52-4dbb-a243-122336ce311b","timestamp":"2026-03-16T10:13:30.569Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2dc573e6-0f52-4dbb-a243-122336ce311b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016MGS4ZM2fZX8FdvT5MkLmS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","name":"Grep","input":{"pattern":"archive","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1199,"cache_read_input_tokens":68966,"output_tokens":131,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1199,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ah5EmkKHLQ3SuPtuuv","type":"assistant","uuid":"d4a250d3-63e4-4469-a128-5090819378e7","timestamp":"2026-03-16T10:13:31.374Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d4a250d3-63e4-4469-a128-5090819378e7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","toolUseID":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","timestamp":"2026-03-16T10:13:31.391Z","uuid":"a8776baf-10f6-49fd-a016-07d66f1fbf57","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d4a250d3-63e4-4469-a128-5090819378e7","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","type":"tool_result","content":"20:\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n215:\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n286:\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n800:\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n803:\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n893:\t\tscNodes := archive.NodeLists[cluster][subCluster]\n896:\t\tsubClusterNodeLists := archive.NodeLists[cluster]"}]},"uuid":"000d7d6d-3f28-4a1b-ae81-513cec9b01a1","timestamp":"2026-03-16T10:13:31.391Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"20:\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n215:\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n286:\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n800:\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n803:\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n893:\t\tscNodes := archive.NodeLists[cluster][subCluster]\n896:\t\tsubClusterNodeLists := archive.NodeLists[cluster]","numLines":7},"sourceToolAssistantUUID":"d4a250d3-63e4-4469-a128-5090819378e7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"000d7d6d-3f28-4a1b-ae81-513cec9b01a1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Pp2PBfaTQuWSZxzaiMn4KG","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `archive` is already imported. Now update the NATS handler to use batch:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":294,"cache_read_input_tokens":70165,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":294},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ahSdt6beXEHrG34Lx4","type":"assistant","uuid":"c0fb6b0f-c717-4515-a759-46325a1832f9","timestamp":"2026-03-16T10:13:34.994Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c0fb6b0f-c717-4515-a759-46325a1832f9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Pp2PBfaTQuWSZxzaiMn4KG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","new_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":294,"cache_read_input_tokens":70165,"output_tokens":763,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":294,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ahSdt6beXEHrG34Lx4","type":"assistant","uuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","timestamp":"2026-03-16T10:13:42.811Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v1","version":1,"backupTime":"2026-03-16T10:13:42.818Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SfYezs5gWfSaJwFBvZwTQm","toolUseID":"toolu_01SfYezs5gWfSaJwFBvZwTQm","timestamp":"2026-03-16T10:13:42.820Z","uuid":"d043d5e5-f6eb-4cc5-84f1-7accd873b53d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":[" repo := repository.GetNodeRepository()"," requestReceived := time.Now().Unix()"," ","+ updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))"," for _, node := range req.Nodes {"," state := determineState(node.States)"," nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":[" HealthState: schema.MonitoringStateFull,"," JobsRunning: node.JobsRunning,"," }","+ updates = append(updates, repository.NodeStateUpdate{","+ Hostname: node.Hostname,","+ Cluster: req.Cluster,","+ NodeState: &nodeState,","+ })","+ }"," ","- if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","- cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","- node.Hostname, req.Cluster, err)","- }","+ if err := repo.BatchUpdateNodeStates(updates); err != nil {","+ cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)"," }"," "," cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"a9780779-40bc-4130-84ef-769ec8d703e9","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v1","version":1,"backupTime":"2026-03-16T10:13:42.818Z"},"internal/api/node.go":{"backupFileName":"b975dfea9894c28c@v1","version":1,"backupTime":"2026-03-16T10:13:53.754Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"a9780779-40bc-4130-84ef-769ec8d703e9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KWgT3DMBg4wm69ijcQDpSf","toolUseID":"toolu_01KWgT3DMBg4wm69ijcQDpSf","timestamp":"2026-03-16T10:13:53.756Z","uuid":"d8dc490d-e4b4-4c04-b626-3679ed6bd652","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9780779-40bc-4130-84ef-769ec8d703e9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go has been updated successfully."}]},"uuid":"a87c3df8-d8de-4a6f-b720-6991ede41740","timestamp":"2026-03-16T10:13:53.756Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","oldString":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","newString":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":[" cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))"," startDB := time.Now()"," ","+ updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))"," for _, node := range req.Nodes {"," state := determineState(node.States)"," healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":[" HealthMetrics: healthMetrics,"," JobsRunning: node.JobsRunning,"," }","+ updates = append(updates, repository.NodeStateUpdate{","+ Hostname: node.Hostname,","+ Cluster: req.Cluster,","+ NodeState: &nodeState,","+ })","+ }"," ","- if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","- cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","- node.Hostname, req.Cluster, err)","- }","+ if err := repo.BatchUpdateNodeStates(updates); err != nil {","+ cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)"," }"," "," cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a87c3df8-d8de-4a6f-b720-6991ede41740","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VMAwybstFLKHc4G31EF56S","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 5: Wrap SyncJobs in a transaction**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":955},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"b3eaea28-2260-4531-b255-b9a6e6914aa4","timestamp":"2026-03-16T10:13:58.372Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b3eaea28-2260-4531-b255-b9a6e6914aa4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VMAwybstFLKHc4G31EF56S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vxd4CHYztaZiWnUyHBZ8pZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","old_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":[" jobs = append(jobs, job)"," }"," ","+ // Transfer cached jobs to main table and clear cache in a single transaction.","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+ return nil, err","+ }","+ defer tx.Rollback()","+"," // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","- _, err = r.DB.Exec(","+ _, err = tx.Exec("," \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")"," if err != nil {"," cclog.Errorf(\"Error while Job sync: %v\", err)"," return nil, err"," }"," ","- _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+ _, err = tx.Exec(\"DELETE FROM job_cache\")"," if err != nil {"," cclog.Errorf(\"Error while Job cache clean: %v\", err)"," return nil, err"," }"," ","+ if err := tx.Commit(); err != nil {","+ cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+ return nil, err","+ }","+"," // Resolve correct job.id from the job table. The IDs read from job_cache"," // are from a different auto-increment sequence and must not be used to"," // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fcc6aa60-5d51-4569-96d6-98061822f963","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BewUjJvbd6HUzjE1jk3W19","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 4: NATS semaphores**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1736,"cache_read_input_tokens":72221,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1736},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6akjfep1TWFw8enp3sh","type":"assistant","uuid":"c0ddf07e-5da4-46a9-82fd-cefe50d6859f","timestamp":"2026-03-16T10:14:19.842Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c0ddf07e-5da4-46a9-82fd-cefe50d6859f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BewUjJvbd6HUzjE1jk3W19","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","new_string":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1736,"cache_read_input_tokens":72221,"output_tokens":463,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1736,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6akjfep1TWFw8enp3sh","type":"assistant","uuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","timestamp":"2026-03-16T10:14:25.639Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014HMVkUZgUEv2F5FVEvG9yC","toolUseID":"toolu_014HMVkUZgUEv2F5FVEvG9yC","timestamp":"2026-03-16T10:14:25.663Z","uuid":"62f8ee7a-51bc-4db5-a068-b7ad5d89796a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":[" // RepositoryMutex protects job creation operations from race conditions"," // when checking for duplicate jobs during startJob calls."," RepositoryMutex sync.Mutex","+ // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+ // when the database is under contention.","+ jobSem chan struct{}","+ // nodeSem limits concurrent NATS node state processing.","+ nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {"," return &NatsAPI{"," JobRepository: repository.GetJobRepository(),","+ jobSem: make(chan struct{}, 8),","+ nodeSem: make(chan struct{}, 2),"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+ api.jobSem <- struct{}{}","+ defer func() { <-api.jobSem }()","+"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+ api.nodeSem <- struct{}{}","+ defer func() { <-api.nodeSem }()","+"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CgY2oc22d2vjfwDVzGB6c9","name":"Bash","input":{"command":"go build ./...","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"output_tokens":120,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":353,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"3a9382a3-91d3-40be-808b-39ea30e193f1","timestamp":"2026-03-16T10:14:41.475Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3a9382a3-91d3-40be-808b-39ea30e193f1","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CgY2oc22d2vjfwDVzGB6c9","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"63763e9c-e27e-45bc-b767-44d84c1e8b38","timestamp":"2026-03-16T10:14:48.039Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3a9382a3-91d3-40be-808b-39ea30e193f1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"63763e9c-e27e-45bc-b767-44d84c1e8b38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmhbbndncnszFFK3uYTp3J","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeds. Let me run the relevant tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":119,"cache_read_input_tokens":75302,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":119},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ao6A15Xjxa9UQNEGG6","type":"assistant","uuid":"8f61a61a-d8ec-4313-b567-ed8a0e8307ac","timestamp":"2026-03-16T10:14:51.354Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8f61a61a-d8ec-4313-b567-ed8a0e8307ac","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmhbbndncnszFFK3uYTp3J","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BhWi1H4DJBVHWboGS1x2eX","name":"Bash","input":{"command":"go test ./internal/repository/... ./internal/api/... ./internal/auth/... 2>&1","description":"Run tests for modified packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":119,"cache_read_input_tokens":75302,"output_tokens":145,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":119,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ao6A15Xjxa9UQNEGG6","type":"assistant","uuid":"77d719c1-6757-4d2c-b38f-c672ede8398d","timestamp":"2026-03-16T10:14:52.492Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"77d719c1-6757-4d2c-b38f-c672ede8398d","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BhWi1H4DJBVHWboGS1x2eX","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.110s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.668s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/auth\t0.937s","is_error":false}]},"uuid":"294215b8-42db-44b9-97a9-36eeaafa8948","timestamp":"2026-03-16T10:15:01.716Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.110s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.668s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/auth\t0.937s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"77d719c1-6757-4d2c-b38f-c672ede8398d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"294215b8-42db-44b9-97a9-36eeaafa8948","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012bLfeSzbtpGkqVUqKuL5vW","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of all changes:\n\n**Fix 1 — busy_timeout (contention relief)**\n- `internal/repository/config.go`: Added `BusyTimeoutMs` field (default 60000)\n- `internal/repository/dbConnection.go:73`: Uses configurable `repoConfig.BusyTimeoutMs` instead of hardcoded `5000`\n- `pkg/archive/sqliteBackend.go:105`: Changed hardcoded `busy_timeout` from 5000 to 60000\n\n**Fix 2 — Batch node state updates**\n- `internal/repository/node.go`: Added `NodeStateUpdate` struct and `BatchUpdateNodeStates()` method that runs all lookups+inserts in a single transaction with prepared statements\n- `internal/api/nats.go:348-367`: Builds a slice and calls `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`\n- `internal/api/node.go:119-142`: Same batch approach for the REST path (health checks still run per-node before batching the DB part)\n\n**Fix 3 — LDAP sync race condition**\n- `internal/repository/user.go`: Added `AddUserIfNotExists()` using `INSERT OR IGNORE`\n- `internal/auth/ldap.go:213`: Changed `AddUser` to `AddUserIfNotExists` — sync no longer aborts on concurrent user creation\n\n**Fix 4 — NATS semaphores**\n- `internal/api/nats.go`: Added `jobSem` (cap 8) and `nodeSem` (cap 2) channels to `NatsAPI` struct\n- `handleJobEvent` and `handleNodeState` acquire/release the semaphore, capping concurrent goroutines\n\n**Fix 5 — SyncJobs transaction**\n- `internal/repository/jobCreate.go:72-126`: Wrapped the INSERT...SELECT + DELETE in a single `Beginx()`/`Commit()` transaction, reducing lock acquisitions from 3 to 1"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":215,"cache_read_input_tokens":75421,"output_tokens":487,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":215,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ap6cZS2z6UvF1qWoyk","type":"assistant","uuid":"2c888049-2994-4c80-ba93-dda863b33e3c","timestamp":"2026-03-16T10:15:13.958Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2c888049-2994-4c80-ba93-dda863b33e3c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"603bfe85-3b90-4b76-9fe9-bb56aa491b81","toolUseID":"603bfe85-3b90-4b76-9fe9-bb56aa491b81","timestamp":"2026-03-16T10:15:13.974Z","uuid":"e30bac62-0c03-4836-8c6c-f43dd17b2048","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e30bac62-0c03-4836-8c6c-f43dd17b2048","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code 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+{"type":"file-history-snapshot","messageId":"77246124-c7ed-405a-87de-11b99d5c5171","snapshot":{"messageId":"77246124-c7ed-405a-87de-11b99d5c5171","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v2","version":2,"backupTime":"2026-03-16T10:18:22.751Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/node.go":{"backupFileName":"b975dfea9894c28c@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"},"internal/repository/jobCreate.go":{"backupFileName":"9595742f9f0c7f86@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"}},"timestamp":"2026-03-16T10:18:22.751Z"},"isSnapshotUpdate":false} +{"parentUuid":"b4973f4a-3987-40a0-9784-97ab8f94be4c","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":"Are there other opportunities to reduce the insert pressure on the db using transactions or other techniques?"},"uuid":"77246124-c7ed-405a-87de-11b99d5c5171","timestamp":"2026-03-16T10:18:22.003Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"77246124-c7ed-405a-87de-11b99d5c5171","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0131MQBcCFbT9GDPRcBL3v9i","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me first read the existing plan, then explore the codebase for DB write patterns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1882,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1882},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b4vAgZpxURDDbTU5Fb","type":"assistant","uuid":"104be7ce-94df-4266-a0f3-3c2730633047","timestamp":"2026-03-16T10:18:27.328Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"104be7ce-94df-4266-a0f3-3c2730633047","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0131MQBcCFbT9GDPRcBL3v9i","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1882,"cache_read_input_tokens":75636,"output_tokens":93,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1882,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6b4vAgZpxURDDbTU5Fb","type":"assistant","uuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","timestamp":"2026-03-16T10:18:27.566Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VcJqMaKr97nTjqZLiZRmCD","toolUseID":"toolu_01VcJqMaKr97nTjqZLiZRmCD","timestamp":"2026-03-16T10:18:27.588Z","uuid":"3eb635eb-9ae1-42cf-996d-eba4f879e63e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2c1eddf0-1f39-4852-85ff-a09935d22a02","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcJqMaKr97nTjqZLiZRmCD","type":"tool_result","content":" 1→# Fix: SQLite Write Contention Causing OOM Crash\n 2→\n 3→## Context\n 4→\n 5→The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n 6→\n 7→**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n 8→\n 9→The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n 10→\n 11→---\n 12→\n 13→## Fix 1: Increase busy_timeout (contention relief)\n 14→\n 15→**File:** `internal/repository/dbConnection.go:73`\n 16→\n 17→Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n 18→\n 19→**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n 20→\n 21→**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n 22→\n 23→**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n 24→\n 25→With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n 26→\n 27→---\n 28→\n 29→## Fix 2: Batch Node State Updates in a Transaction\n 30→\n 31→Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n 32→\n 33→**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n 34→- Accept a slice of `(hostname, cluster, nodeState)` tuples\n 35→- Begin transaction\n 36→- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n 37→- Commit once\n 38→\n 39→**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n 40→\n 41→**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n 42→\n 43→Keep the existing `UpdateNodeState` method for single-node use cases.\n 44→\n 45→---\n 46→\n 47→## Fix 3: Fix LDAP Sync Race Condition\n 48→\n 49→The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n 50→\n 51→**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n 52→```go\n 53→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n 54→ rolesJson, _ := json.Marshal(user.Roles)\n 55→ projectsJson, _ := json.Marshal(user.Projects)\n 56→ cols := \"username, name, roles, projects, ldap\"\n 57→ _, err := r.DB.Exec(\n 58→ `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n 59→ user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n 60→ return err\n 61→}\n 62→```\n 63→\n 64→**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n 65→\n 66→Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n 67→\n 68→---\n 69→\n 70→## Fix 4: Add Semaphore for NATS Handlers\n 71→\n 72→Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n 73→\n 74→**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n 75→```go\n 76→type NatsAPI struct {\n 77→ JobRepository *repository.JobRepository\n 78→ RepositoryMutex sync.Mutex\n 79→ jobSem chan struct{}\n 80→ nodeSem chan struct{}\n 81→}\n 82→```\n 83→\n 84→Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n 85→\n 86→Add acquire/release in `handleJobEvent` and `handleNodeState`:\n 87→```go\n 88→api.jobSem <- struct{}{}\n 89→defer func() { <-api.jobSem }()\n 90→```\n 91→\n 92→This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n 93→\n 94→---\n 95→\n 96→## Fix 5: Wrap SyncJobs in a Transaction\n 97→\n 98→**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n 99→\n 100→Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n 101→- `tx, err := r.DB.Beginx()`\n 102→- Run all three operations on `tx`\n 103→- `tx.Commit()`\n 104→- Do the read-only ID resolution outside the transaction\n 105→\n 106→This reduces lock acquisitions from 3 to 1 and ensures atomicity.\n 107→\n 108→---\n 109→\n 110→## Implementation Order\n 111→\n 112→1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n 113→2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n 114→3. **Fix 2** (batch node states) — biggest contention reduction\n 115→4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n 116→5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n 117→\n 118→---\n 119→\n 120→## Verification\n 121→\n 122→1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n 123→2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n 124→3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n 125→4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n 126→5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n 127→"}]},"uuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","timestamp":"2026-03-16T10:18:27.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","numLines":127,"startLine":1,"totalLines":127}},"sourceToolAssistantUUID":"2c1eddf0-1f39-4852-85ff-a09935d22a02","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9de761c4-cd6e-4978-bad3-2ad8ccf0e314","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"f06c2070-4072-4541-8c90-0583c1efc122","timestamp":"2026-03-16T10:18:32.304Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f06c2070-4072-4541-8c90-0583c1efc122","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"text","text":"The previous plan (Fixes 1-5) has already been implemented. Now the user wants to find *additional* opportunities. Let me explore the codebase for remaining write-heavy DB patterns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"ee8e6a82-29e1-426a-b2a8-232e862bf57f","timestamp":"2026-03-16T10:18:33.211Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ee8e6a82-29e1-426a-b2a8-232e862bf57f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","name":"Agent","input":{"description":"Find DB write patterns","subagent_type":"Explore","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","timestamp":"2026-03-16T10:18:39.594Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"61b4ccfb-6c51-479c-8748-682e80cd64d0","timestamp":"2026-03-16T10:18:39.596Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"61b4ccfb-6c51-479c-8748-682e80cd64d0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files."}]},"uuid":"1bca6258-5523-4520-970c-e78b0e3bfa4a","timestamp":"2026-03-16T10:18:39.970Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"311ccf6c-9310-4011-90e7-d7fe87f941f8","timestamp":"2026-03-16T10:18:39.970Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4142},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","timestamp":"2026-03-16T10:18:43.782Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"bb9862cd-2355-4f7b-933a-7ba602850724","timestamp":"2026-03-16T10:18:43.783Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"bb9862cd-2355-4f7b-933a-7ba602850724","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:43.888Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"87486c3d-4e8b-4d15-b3ca-e7ceda3d6749"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","timestamp":"2026-03-16T10:18:43.888Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"35cd6ce4-24fd-481c-9744-2c16c7ee2083","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HkM6fykBdPWHAiCUXwWyyJ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n 96→\ttx, err := r.DB.Beginx()\n 97→\tif err != nil {\n 98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tdefer tx.Rollback()\n 102→\n 103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 104→\t_, err = tx.Exec(\n 105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 106→\tif err != nil {\n 107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n 112→\tif err != nil {\n 113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 114→\t\treturn nil, err\n 115→\t}\n 116→\n 117→\tif err := tx.Commit(); err != nil {\n 118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 123→\t// are from a different auto-increment sequence and must not be used to\n 124→\t// query the job table.\n 125→\tfor _, job := range jobs {\n 126→\t\tvar newID int64\n 127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {\n 158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 159→\t}\n 160→\n 161→\treturn newID, nil\n 162→}\n 163→\n 164→// Start inserts a new job in the table, returning the unique job ID.\n 165→// Statistics are not transfered!\n 166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 168→\tif err != nil {\n 169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 170→\t}\n 171→\n 172→\tjob.RawResources, err = json.Marshal(job.Resources)\n 173→\tif err != nil {\n 174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 175→\t}\n 176→\n 177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 178→\tif err != nil {\n 179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 180→\t}\n 181→\n 182→\treturn r.InsertJob(job)\n 183→}\n 184→\n 185→// StartDirect inserts a new job directly into the job table (not job_cache).\n 186→// Use this when the returned ID will immediately be used for job table\n 187→// operations such as adding tags.\n 188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 190→\tif err != nil {\n 191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 192→\t}\n 193→\n 194→\tjob.RawResources, err = json.Marshal(job.Resources)\n 195→\tif err != nil {\n 196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 197→\t}\n 198→\n 199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 200→\tif err != nil {\n 201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 202→\t}\n 203→\n 204→\treturn r.InsertJobDirect(job)\n 205→}\n 206→\n 207→// Stop updates the job with the database id jobId using the provided arguments.\n 208→func (r *JobRepository) Stop(\n 209→\tjobID int64,\n 210→\tduration int32,\n 211→\tstate schema.JobState,\n 212→\tmonitoringStatus int32,\n 213→) (err error) {\n 214→\t// Invalidate cache entries as job state is changing\n 215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 217→\n 218→\tstmt := sq.Update(\"job\").\n 219→\t\tSet(\"job_state\", state).\n 220→\t\tSet(\"duration\", duration).\n 221→\t\tSet(\"monitoring_status\", monitoringStatus).\n 222→\t\tWhere(\"job.id = ?\", jobID)\n 223→\n 224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 225→\treturn err\n 226→}\n 227→"}]},"uuid":"5d8ee9d6-b030-4c74-833d-49b9a7ebd9c3","timestamp":"2026-03-16T10:18:43.890Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38b7eecb-8634-4eb0-a187-2d048452460b","timestamp":"2026-03-16T10:18:43.890Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"38b7eecb-8634-4eb0-a187-2d048452460b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EKYTiA5S5dj987gevScvTS","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/toolu_01EKYTiA5S5dj987gevScvTS.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"2d340f9e-3460-4d05-a652-9b2aa3482e6a","timestamp":"2026-03-16T10:18:44.008Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"73dc0e40-cc6c-499a-a987-9e066c064607","timestamp":"2026-03-16T10:18:44.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"73dc0e40-cc6c-499a-a987-9e066c064607","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.098Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4EbLUUdwazYptjDjNVKDR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"08205c4a-738a-47a7-bf53-d42e8e04d164"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","timestamp":"2026-03-16T10:18:44.098Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0f4fe58e-47c2-4e9a-bf48-c169cc66b6bb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4EbLUUdwazYptjDjNVKDR","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\tdefer rows.Close()\n 106→\n 107→\tfor rows.Next() {\n 108→\t\tvar username string\n 109→\t\tif err := rows.Scan(&username); err != nil {\n 110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 111→\t\t\treturn nil, err\n 112→\t\t}\n 113→\n 114→\t\tusers = append(users, username)\n 115→\t}\n 116→\n 117→\treturn users, nil\n 118→}\n 119→\n 120→// AddUser creates a new user in the database.\n 121→// Passwords are automatically hashed with bcrypt before storage.\n 122→// Auth source determines authentication method (local, LDAP, etc.).\n 123→//\n 124→// Required fields: Username, Roles\n 125→// Optional fields: Name, Email, Password, Projects, AuthSource\n 126→func (r *UserRepository) AddUser(user *schema.User) error {\n 127→\trolesJson, _ := json.Marshal(user.Roles)\n 128→\tprojectsJson, _ := json.Marshal(user.Projects)\n 129→\n 130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 132→\n 133→\tif user.Name != \"\" {\n 134→\t\tcols = append(cols, \"name\")\n 135→\t\tvals = append(vals, user.Name)\n 136→\t}\n 137→\tif user.Email != \"\" {\n 138→\t\tcols = append(cols, \"email\")\n 139→\t\tvals = append(vals, user.Email)\n 140→\t}\n 141→\tif user.Password != \"\" {\n 142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 143→\t\tif err != nil {\n 144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 145→\t\t\treturn err\n 146→\t\t}\n 147→\t\tcols = append(cols, \"password\")\n 148→\t\tvals = append(vals, string(password))\n 149→\t}\n 150→\tif user.AuthSource != -1 {\n 151→\t\tcols = append(cols, \"ldap\")\n 152→\t\tvals = append(vals, int(user.AuthSource))\n 153→\t}\n 154→\n 155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 157→\t\treturn err\n 158→\t}\n 159→\n 160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 161→\n 162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 164→\tif err != nil {\n 165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 166→\t} else if defaultMetricsCfg != nil {\n 167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 170→\t\t\tif err != nil {\n 171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 172→\t\t\t\tcontinue\n 173→\t\t\t}\n 174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 176→\t\t\tif _, err := sq.Insert(\"configuration\").\n 177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 181→\t\t\t} else {\n 182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 183→\t\t\t}\n 184→\t\t}\n 185→\t}\n 186→\t// END DEPRECATION\n 187→\n 188→\treturn nil\n 189→}\n 190→\n 191→// AddUserIfNotExists inserts a user only if the username does not already exist.\n 192→// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n 193→// concurrently created (e.g., by a login while LDAP sync is running).\n 194→// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\n 195→func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n 196→\trolesJson, _ := json.Marshal(user.Roles)\n 197→\tprojectsJson, _ := json.Marshal(user.Projects)\n 198→\n 199→\tcols := \"username, name, roles, projects, ldap\"\n 200→\t_, err := r.DB.Exec(\n 201→\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n 202→\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n 203→\treturn err\n 204→}\n 205→\n 206→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 207→\t// user contains updated info -> Apply to dbUser\n 208→\t// --- Simple Name Update ---\n 209→\tif dbUser.Name != user.Name {\n 210→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 211→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 212→\t\t\treturn err\n 213→\t\t}\n 214→\t}\n 215→\n 216→\t// --- Def Helpers ---\n 217→\t// Helper to update roles\n 218→\tupdateRoles := func(roles []string) error {\n 219→\t\trolesJSON, _ := json.Marshal(roles)\n 220→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 221→\t\treturn err\n 222→\t}\n 223→\n 224→\t// Helper to update projects\n 225→\tupdateProjects := func(projects []string) error {\n 226→\t\tprojectsJSON, _ := json.Marshal(projects)\n 227→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Helper to clear projects\n 232→\tclearProjects := func() error {\n 233→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 234→\t\treturn err\n 235→\t}\n 236→\n 237→\t// --- Manager Role Handling ---\n 238→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 239→\t\t// Existing Manager: update projects\n 240→\t\tif err := updateProjects(user.Projects); err != nil {\n 241→\t\t\treturn err\n 242→\t\t}\n 243→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 244→\t\t// New Manager: update roles and projects\n 245→\t\tif err := updateRoles(user.Roles); err != nil {\n 246→\t\t\treturn err\n 247→\t\t}\n 248→\t\tif err := updateProjects(user.Projects); err != nil {\n 249→\t\t\treturn err\n 250→\t\t}\n 251→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 252→\t\t// Remove Manager: update roles and clear projects\n 253→\t\tif err := updateRoles(user.Roles); err != nil {\n 254→\t\t\treturn err\n 255→\t\t}\n 256→\t\tif err := clearProjects(); err != nil {\n 257→\t\t\treturn err\n 258→\t\t}\n 259→\t}\n 260→\n 261→\t// --- Support Role Handling ---\n 262→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 263→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 264→\t\t// New Support: update roles\n 265→\t\tif err := updateRoles(user.Roles); err != nil {\n 266→\t\t\treturn err\n 267→\t\t}\n 268→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 269→\t\t// Remove Support: update roles\n 270→\t\tif err := updateRoles(user.Roles); err != nil {\n 271→\t\t\treturn err\n 272→\t\t}\n 273→\t}\n 274→\n 275→\treturn nil\n 276→}\n 277→\n 278→func (r *UserRepository) DelUser(username string) error {\n 279→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 280→\tif err != nil {\n 281→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 282→\t\treturn err\n 283→\t}\n 284→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 285→\treturn nil\n 286→}\n 287→\n 288→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 289→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 290→\tif specialsOnly {\n 291→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 292→\t}\n 293→\n 294→\trows, err := q.RunWith(r.DB).Query()\n 295→\tif err != nil {\n 296→\t\tcclog.Warn(\"Error while querying user list\")\n 297→\t\treturn nil, err\n 298→\t}\n 299→\n 300→\tusers := make([]*schema.User, 0)\n 301→\tdefer rows.Close()\n 302→\tfor rows.Next() {\n 303→\t\trawroles := \"\"\n 304→\t\trawprojects := \"\"\n 305→\t\tuser := &schema.User{}\n 306→\t\tvar name, email sql.NullString\n 307→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 308→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 309→\t\t\treturn nil, err\n 310→\t\t}\n 311→\n 312→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 313→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 314→\t\t\treturn nil, err\n 315→\t\t}\n 316→\n 317→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 318→\t\t\treturn nil, err\n 319→\t\t}\n 320→\n 321→\t\tuser.Name = name.String\n 322→\t\tuser.Email = email.String\n 323→\t\tusers = append(users, user)\n 324→\t}\n 325→\treturn users, nil\n 326→}\n 327→\n 328→// AddRole adds a role to a user's role list.\n 329→// Role string is automatically lowercased.\n 330→// Valid roles: admin, support, manager, api, user\n 331→//\n 332→// Returns error if:\n 333→// - User doesn't exist\n 334→// - Role is invalid\n 335→// - User already has the role\n 336→func (r *UserRepository) AddRole(\n 337→\tctx context.Context,\n 338→\tusername string,\n 339→\tqueryrole string,\n 340→) error {\n 341→\tnewRole := strings.ToLower(queryrole)\n 342→\tuser, err := r.GetUser(username)\n 343→\tif err != nil {\n 344→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 345→\t\treturn err\n 346→\t}\n 347→\n 348→\texists, valid := user.HasValidRole(newRole)\n 349→\n 350→\tif !valid {\n 351→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 352→\t}\n 353→\tif exists {\n 354→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 355→\t}\n 356→\n 357→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 358→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 359→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 360→\t\treturn err\n 361→\t}\n 362→\treturn nil\n 363→}\n 364→\n 365→// RemoveRole removes a role from a user's role list.\n 366→//\n 367→// Special rules:\n 368→// - Cannot remove \"manager\" role while user has assigned projects\n 369→// - Must remove all projects first before removing manager role\n 370→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 371→\toldRole := strings.ToLower(queryrole)\n 372→\tuser, err := r.GetUser(username)\n 373→\tif err != nil {\n 374→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 375→\t\treturn err\n 376→\t}\n 377→\n 378→\texists, valid := user.HasValidRole(oldRole)\n 379→\n 380→\tif !valid {\n 381→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 382→\t}\n 383→\tif !exists {\n 384→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 385→\t}\n 386→\n 387→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 388→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 389→\t}\n 390→\n 391→\tvar newroles []string\n 392→\tfor _, r := range user.Roles {\n 393→\t\tif r != oldRole {\n 394→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 395→\t\t}\n 396→\t}\n 397→\n 398→\tmroles, _ := json.Marshal(newroles)\n 399→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 400→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 401→\t\treturn err\n 402→\t}\n 403→\treturn nil\n 404→}\n 405→\n 406→// AddProject assigns a project to a manager user.\n 407→// Only users with the \"manager\" role can have assigned projects.\n 408→//\n 409→// Returns error if:\n 410→// - User doesn't have manager role\n 411→// - User already manages the project\n 412→func (r *UserRepository) AddProject(\n 413→\tctx context.Context,\n 414→\tusername string,\n 415→\tproject string,\n 416→) error {\n 417→\tuser, err := r.GetUser(username)\n 418→\tif err != nil {\n 419→\t\treturn err\n 420→\t}\n 421→\n 422→\tif !user.HasRole(schema.RoleManager) {\n 423→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 424→\t}\n 425→\n 426→\tif user.HasProject(project) {\n 427→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 428→\t}\n 429→\n 430→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 431→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 432→\t\treturn err\n 433→\t}\n 434→\n 435→\treturn nil\n 436→}\n 437→\n 438→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 439→\tuser, err := r.GetUser(username)\n 440→\tif err != nil {\n 441→\t\treturn err\n 442→\t}\n 443→\n 444→\tif !user.HasRole(schema.RoleManager) {\n 445→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 446→\t}\n 447→\n 448→\tif !user.HasProject(project) {\n 449→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 450→\t}\n 451→\n 452→\tvar exists bool\n 453→\tvar newprojects []string\n 454→\tfor _, p := range user.Projects {\n 455→\t\tif p != project {\n 456→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 457→\t\t} else {\n 458→\t\t\texists = true\n 459→\t\t}\n 460→\t}\n 461→\n 462→\tif exists {\n 463→\t\tvar result any\n 464→\t\tif len(newprojects) == 0 {\n 465→\t\t\tresult = \"[]\"\n 466→\t\t} else {\n 467→\t\t\tresult, _ = json.Marshal(newprojects)\n 468→\t\t}\n 469→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 470→\t\t\treturn err\n 471→\t\t}\n 472→\t\treturn nil\n 473→\t} else {\n 474→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 475→\t}\n 476→}\n 477→\n 478→type ContextKey string\n 479→\n 480→const ContextUserKey ContextKey = \"user\"\n 481→\n 482→func GetUserFromContext(ctx context.Context) *schema.User {\n 483→\tx := ctx.Value(ContextUserKey)\n 484→\tif x == nil {\n 485→\t\tcclog.Warnf(\"no user retrieved from context\")\n 486→\t\treturn nil\n 487→\t}\n 488→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 489→\treturn x.(*schema.User)\n 490→}\n 491→\n 492→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 493→\tme := GetUserFromContext(ctx)\n 494→\tif me != nil && me.Username != username &&\n 495→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 496→\t\treturn nil, errors.New(\"forbidden\")\n 497→\t}\n 498→\n 499→\tuser := &model.User{Username: username}\n 500→\tvar name, email sql.NullString\n 501→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 502→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 503→\t\tif err == sql.ErrNoRows {\n 504→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 505→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 506→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 507→\t\t\treturn nil, nil\n 508→\t\t}\n 509→\n 510→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 511→\t\treturn nil, err\n 512→\t}\n 513→\n 514→\tuser.Name = name.String\n 515→\tuser.Email = email.String\n 516→\treturn user, nil\n 517→}\n 518→"}]},"uuid":"acc33023-5fb3-4a2e-bc0a-09f9a5175147","timestamp":"2026-03-16T10:18:44.100Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","timestamp":"2026-03-16T10:18:44.100Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"cf0bd62a-75bb-4783-80e7-f26ff298ad36","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:44.261Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CGzHX4WVBQLFwrxRcpSCfL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5652,"cache_read_input_tokens":13439,"cache_creation":{"ephemeral_5m_input_tokens":5652,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6LQyLqEj2BXvkCr4W","uuid":"f396f17b-5692-4bd6-a242-f34bdc9722b7"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","timestamp":"2026-03-16T10:18:44.261Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d570e5c0-22d1-45a6-a985-b96261b56ea9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HdDYxxDmAcUknFk1iAMFhS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"dce1da07-9465-4eba-87c1-bb17e6daa7b0","timestamp":"2026-03-16T10:18:44.263Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","timestamp":"2026-03-16T10:18:44.281Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"71b5559a-4f3b-4888-87a3-f075dfb7104b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes."}]},"uuid":"666d3bf2-3ccd-4a3d-9642-56e3e610c7c7","timestamp":"2026-03-16T10:18:44.103Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3bb2055e-b1af-44b3-ac27-43a4a74de4ab","timestamp":"2026-03-16T10:18:44.103Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"4b9a979b-4693-43bb-bc90-195eb8540515","timestamp":"2026-03-16T10:18:46.022Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fecdcb82-b91e-4eb6-bd18-1eaf2bfd6507","timestamp":"2026-03-16T10:18:46.225Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a12338c1-6526-4d76-bcec-f1e6375d9a0e","timestamp":"2026-03-16T10:18:46.909Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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}\n]"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1b66778f-b7fa-4747-8626-d33fea73b73d","timestamp":"2026-03-16T10:18:47.451Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"66ee3e7a-1bf9-4195-8e01-4bfaca3bdd4c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Kq2UVbVdsFHMVNU1tw4F54","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\n 248→type NodeStateUpdate struct {\n 249→\tHostname string\n 250→\tCluster string\n 251→\tNodeState *schema.NodeStateDB\n 252→}\n 253→\n 254→// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n 255→// For each node, it looks up (or creates) the node row, then inserts the state row.\n 256→// This reduces lock acquisitions from 2*N to 1 for N nodes.\n 257→func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n 258→\ttx, err := r.DB.Beginx()\n 259→\tif err != nil {\n 260→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n 261→\t}\n 262→\tdefer tx.Rollback()\n 263→\n 264→\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n 265→\tif err != nil {\n 266→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n 267→\t}\n 268→\tdefer stmtLookup.Close()\n 269→\n 270→\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n 271→\tif err != nil {\n 272→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n 273→\t}\n 274→\tdefer stmtInsertNode.Close()\n 275→\n 276→\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n 277→\tif err != nil {\n 278→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n 279→\t}\n 280→\tdefer stmtInsertState.Close()\n 281→\n 282→\tfor _, u := range updates {\n 283→\t\tvar id int64\n 284→\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n 285→\t\t\tif err == sql.ErrNoRows {\n 286→\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n 287→\t\t\t\tif scErr != nil {\n 288→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n 289→\t\t\t\t\tcontinue\n 290→\t\t\t\t}\n 291→\t\t\t\tnode := schema.NodeDB{\n 292→\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n 293→\t\t\t\t}\n 294→\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n 295→\t\t\t\tif insertErr != nil {\n 296→\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n 297→\t\t\t\t\tcontinue\n 298→\t\t\t\t}\n 299→\t\t\t\tid, _ = res.LastInsertId()\n 300→\t\t\t} else {\n 301→\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n 302→\t\t\t\tcontinue\n 303→\t\t\t}\n 304→\t\t}\n 305→\n 306→\t\tu.NodeState.NodeID = id\n 307→\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n 308→\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n 309→\t\t}\n 310→\t}\n 311→\n 312→\tif err := tx.Commit(); err != nil {\n 313→\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n 314→\t}\n 315→\treturn nil\n 316→}\n 317→\n 318→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 319→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 320→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 321→// \t\treturn err\n 322→// \t}\n 323→//\n 324→// \treturn nil\n 325→// }\n 326→\n 327→// NodeStateWithNode combines a node state row with denormalized node info.\n 328→type NodeStateWithNode struct {\n 329→\tID int64 `db:\"id\"`\n 330→\tTimeStamp int64 `db:\"time_stamp\"`\n 331→\tNodeState string `db:\"node_state\"`\n 332→\tHealthState string `db:\"health_state\"`\n 333→\tHealthMetrics string `db:\"health_metrics\"`\n 334→\tCpusAllocated int `db:\"cpus_allocated\"`\n 335→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 336→\tGpusAllocated int `db:\"gpus_allocated\"`\n 337→\tJobsRunning int `db:\"jobs_running\"`\n 338→\tHostname string `db:\"hostname\"`\n 339→\tCluster string `db:\"cluster\"`\n 340→\tSubCluster string `db:\"subcluster\"`\n 341→}\n 342→\n 343→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 344→// joined with node info for denormalized archiving.\n 345→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 346→\trows, err := sq.Select(\n 347→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 348→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 349→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 350→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 351→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 352→\t).\n 353→\t\tFrom(\"node_state\").\n 354→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 355→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 356→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 357→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 358→\t\tRunWith(r.DB).Query()\n 359→\tif err != nil {\n 360→\t\treturn nil, err\n 361→\t}\n 362→\tdefer rows.Close()\n 363→\n 364→\tvar result []NodeStateWithNode\n 365→\tfor rows.Next() {\n 366→\t\tvar ns NodeStateWithNode\n 367→\t\tvar healthMetrics sql.NullString\n 368→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 369→\t\t\t&ns.HealthState, &healthMetrics,\n 370→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 371→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 372→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 373→\t\t\treturn nil, err\n 374→\t\t}\n 375→\t\tns.HealthMetrics = healthMetrics.String\n 376→\t\tresult = append(result, ns)\n 377→\t}\n 378→\treturn result, nil\n 379→}\n 380→\n 381→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 382→// but always preserves the row with the latest timestamp per node_id.\n 383→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 384→\tres, err := r.DB.Exec(\n 385→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 386→\t\t AND id NOT IN (\n 387→\t\t SELECT id FROM node_state ns2\n 388→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 389→\t\t )`,\n 390→\t\tcutoff,\n 391→\t)\n 392→\tif err != nil {\n 393→\t\treturn 0, err\n 394→\t}\n 395→\treturn res.RowsAffected()\n 396→}\n 397→\n 398→func (r *NodeRepository) DeleteNode(id int64) error {\n 399→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 400→\tif err != nil {\n 401→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 402→\t\treturn err\n 403→\t}\n 404→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 405→\treturn nil\n 406→}\n 407→\n 408→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 409→// on the last state (largest timestamp).\n 410→func (r *NodeRepository) QueryNodes(\n 411→\tctx context.Context,\n 412→\tfilters []*model.NodeFilter,\n 413→\tpage *model.PageRequest,\n 414→\torder *model.OrderByInput, // Currently unused!\n 415→) ([]*schema.Node, error) {\n 416→\tquery, qerr := AccessCheck(ctx,\n 417→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 418→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 419→\t\t\tFrom(\"node\").\n 420→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 421→\t\t\tWhere(latestStateCondition()))\n 422→\tif qerr != nil {\n 423→\t\treturn nil, qerr\n 424→\t}\n 425→\n 426→\tquery = applyNodeFilters(query, filters)\n 427→\tquery = query.OrderBy(\"node.hostname ASC\")\n 428→\n 429→\tif page != nil && page.ItemsPerPage != -1 {\n 430→\t\tlimit := uint64(page.ItemsPerPage)\n 431→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 432→\t}\n 433→\n 434→\trows, err := query.RunWith(r.stmtCache).Query()\n 435→\tif err != nil {\n 436→\t\tqueryString, queryVars, _ := query.ToSql()\n 437→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 438→\t\treturn nil, err\n 439→\t}\n 440→\tdefer rows.Close()\n 441→\n 442→\tnodes := make([]*schema.Node, 0)\n 443→\tfor rows.Next() {\n 444→\t\tnode := schema.Node{}\n 445→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 446→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 447→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 448→\t\t\treturn nil, err\n 449→\t\t}\n 450→\t\tnodes = append(nodes, &node)\n 451→\t}\n 452→\n 453→\tif err := rows.Err(); err != nil {\n 454→\t\treturn nil, err\n 455→\t}\n 456→\n 457→\treturn nodes, nil\n 458→}\n 459→\n 460→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 461→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 462→func (r *NodeRepository) QueryNodesWithMeta(\n 463→\tctx context.Context,\n 464→\tfilters []*model.NodeFilter,\n 465→\tpage *model.PageRequest,\n 466→\torder *model.OrderByInput, // Currently unused!\n 467→) ([]*schema.Node, error) {\n 468→\tquery, qerr := AccessCheck(ctx,\n 469→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 470→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 471→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 472→\t\t\tFrom(\"node\").\n 473→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 474→\t\t\tWhere(latestStateCondition()))\n 475→\tif qerr != nil {\n 476→\t\treturn nil, qerr\n 477→\t}\n 478→\n 479→\tquery = applyNodeFilters(query, filters)\n 480→\tquery = query.OrderBy(\"node.hostname ASC\")\n 481→\n 482→\tif page != nil && page.ItemsPerPage != -1 {\n 483→\t\tlimit := uint64(page.ItemsPerPage)\n 484→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 485→\t}\n 486→\n 487→\trows, err := query.RunWith(r.stmtCache).Query()\n 488→\tif err != nil {\n 489→\t\tqueryString, queryVars, _ := query.ToSql()\n 490→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 491→\t\treturn nil, err\n 492→\t}\n 493→\tdefer rows.Close()\n 494→\n 495→\tnodes := make([]*schema.Node, 0)\n 496→\tfor rows.Next() {\n 497→\t\tnode := schema.Node{}\n 498→\t\tRawMetaData := make([]byte, 0)\n 499→\t\tRawMetricHealth := make([]byte, 0)\n 500→\n 501→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 502→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 503→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 504→\t\t\treturn nil, err\n 505→\t\t}\n 506→\n 507→\t\tif len(RawMetaData) == 0 {\n 508→\t\t\tnode.MetaData = nil\n 509→\t\t} else {\n 510→\t\t\tmetaData := make(map[string]string)\n 511→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 512→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 513→\t\t\t\treturn nil, err\n 514→\t\t\t}\n 515→\t\t\tnode.MetaData = metaData\n 516→\t\t}\n 517→\n 518→\t\tif len(RawMetricHealth) == 0 {\n 519→\t\t\tnode.HealthData = nil\n 520→\t\t} else {\n 521→\t\t\thealthData := make(map[string][]string)\n 522→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 523→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 524→\t\t\t\treturn nil, err\n 525→\t\t\t}\n 526→\t\t\tnode.HealthData = healthData\n 527→\t\t}\n 528→\n 529→\t\tnodes = append(nodes, &node)\n 530→\t}\n 531→\n 532→\tif err := rows.Err(); err != nil {\n 533→\t\treturn nil, err\n 534→\t}\n 535→\n 536→\treturn nodes, nil\n 537→}\n 538→\n 539→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 540→// on the last state (largest timestamp) per node.\n 541→func (r *NodeRepository) CountNodes(\n 542→\tctx context.Context,\n 543→\tfilters []*model.NodeFilter,\n 544→) (int, error) {\n 545→\tquery, qerr := AccessCheck(ctx,\n 546→\t\tsq.Select(\"COUNT(*)\").\n 547→\t\t\tFrom(\"node\").\n 548→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 549→\t\t\tWhere(latestStateCondition()))\n 550→\tif qerr != nil {\n 551→\t\treturn 0, qerr\n 552→\t}\n 553→\n 554→\tquery = applyNodeFilters(query, filters)\n 555→\n 556→\tvar count int\n 557→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 558→\t\tqueryString, queryVars, _ := query.ToSql()\n 559→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 560→\t\treturn 0, err\n 561→\t}\n 562→\n 563→\treturn count, nil\n 564→}\n 565→\n 566→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 567→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 568→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 569→\t\tFrom(\"node\").\n 570→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 571→\t\tWhere(latestStateCondition()).\n 572→\t\tWhere(\"node.cluster = ?\", cluster).\n 573→\t\tOrderBy(\"node.hostname ASC\")\n 574→\n 575→\trows, err := q.RunWith(r.DB).Query()\n 576→\tif err != nil {\n 577→\t\tcclog.Warn(\"Error while querying node list\")\n 578→\t\treturn nil, err\n 579→\t}\n 580→\tnodeList := make([]*schema.Node, 0, 100)\n 581→\tdefer rows.Close()\n 582→\tfor rows.Next() {\n 583→\t\tnode := &schema.Node{}\n 584→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 585→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 586→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 587→\t\t\treturn nil, err\n 588→\t\t}\n 589→\n 590→\t\tnodeList = append(nodeList, node)\n 591→\t}\n 592→\n 593→\treturn nodeList, nil\n 594→}\n 595→\n 596→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 597→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 598→\t\tFrom(\"node\").\n 599→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 600→\t\tWhere(latestStateCondition()).\n 601→\t\tWhere(\"node.cluster = ?\", cluster).\n 602→\t\tOrderBy(\"node.hostname ASC\")\n 603→\n 604→\trows, err := q.RunWith(r.DB).Query()\n 605→\tif err != nil {\n 606→\t\tcclog.Warn(\"Error while querying node list\")\n 607→\t\treturn nil, err\n 608→\t}\n 609→\n 610→\tstateMap := make(map[string]string)\n 611→\tdefer rows.Close()\n 612→\tfor rows.Next() {\n 613→\t\tvar hostname, nodestate string\n 614→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 615→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 616→\t\t\treturn nil, err\n 617→\t\t}\n 618→\n 619→\t\tstateMap[hostname] = nodestate\n 620→\t}\n 621→\n 622→\treturn stateMap, nil\n 623→}\n 624→\n 625→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 626→\tquery, qerr := AccessCheck(ctx,\n 627→\t\tsq.Select(column, \"COUNT(*) as count\").\n 628→\t\t\tFrom(\"node\").\n 629→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 630→\t\t\tWhere(latestStateCondition()).\n 631→\t\t\tGroupBy(column))\n 632→\tif qerr != nil {\n 633→\t\treturn nil, qerr\n 634→\t}\n 635→\n 636→\tquery = applyNodeFilters(query, filters)\n 637→\n 638→\trows, err := query.RunWith(r.stmtCache).Query()\n 639→\tif err != nil {\n 640→\t\tqueryString, queryVars, _ := query.ToSql()\n 641→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 642→\t\treturn nil, err\n 643→\t}\n 644→\tdefer rows.Close()\n 645→\n 646→\tnodes := make([]*model.NodeStates, 0)\n 647→\tfor rows.Next() {\n 648→\t\tvar state string\n 649→\t\tvar count int\n 650→\t\tif err := rows.Scan(&state, &count); err != nil {\n 651→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 652→\t\t\treturn nil, err\n 653→\t\t}\n 654→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 655→\t}\n 656→\n 657→\tif err := rows.Err(); err != nil {\n 658→\t\treturn nil, err\n 659→\t}\n 660→\n 661→\treturn nodes, nil\n 662→}\n 663→\n 664→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 665→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 666→\tif qerr != nil {\n 667→\t\treturn nil, qerr\n 668→\t}\n 669→\n 670→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 671→\n 672→\tfor _, f := range filters {\n 673→\t\t// Required\n 674→\t\tif f.TimeStart != nil {\n 675→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 676→\t\t}\n 677→\t\t// Optional\n 678→\t\tif f.Hostname != nil {\n 679→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 680→\t\t}\n 681→\t\tif f.Cluster != nil {\n 682→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 683→\t\t}\n 684→\t\tif f.SubCluster != nil {\n 685→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 686→\t\t}\n 687→\t\tif f.SchedulerState != nil {\n 688→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 689→\t\t}\n 690→\t\tif f.HealthState != nil {\n 691→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 692→\t\t}\n 693→\t}\n 694→\n 695→\t// Add Group and Order\n 696→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 697→\n 698→\trows, err := query.RunWith(r.stmtCache).Query()\n 699→\tif err != nil {\n 700→\t\tqueryString, queryVars, _ := query.ToSql()\n 701→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 702→\t\treturn nil, err\n 703→\t}\n 704→\tdefer rows.Close()\n 705→\n 706→\trawData := make(map[string][][]int)\n 707→\tfor rows.Next() {\n 708→\t\tvar state string\n 709→\t\tvar timestamp, count int\n 710→\n 711→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 712→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 713→\t\t\treturn nil, err\n 714→\t\t}\n 715→\n 716→\t\tif rawData[state] == nil {\n 717→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 718→\t\t}\n 719→\n 720→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 721→\t\trawData[state][1] = append(rawData[state][1], count)\n 722→\t}\n 723→\n 724→\tif err := rows.Err(); err != nil {\n 725→\t\treturn nil, err\n 726→\t}\n 727→\n 728→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 729→\tfor state, data := range rawData {\n 730→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 731→\t\ttimedStates = append(timedStates, &entry)\n 732→\t}\n 733→\n 734→\treturn timedStates, nil\n 735→}\n 736→\n 737→func (r *NodeRepository) GetNodesForList(\n 738→\tctx context.Context,\n 739→\tcluster string,\n 740→\tsubCluster string,\n 741→\tstateFilter string,\n 742→\tnodeFilter string,\n 743→\tpage *model.PageRequest,\n 744→) ([]string, map[string]string, int, bool, error) {\n 745→\t// Init Return Vars\n 746→\tnodes := make([]string, 0)\n 747→\tstateMap := make(map[string]string)\n 748→\tcountNodes := 0\n 749→\thasNextPage := false\n 750→\n 751→\t// Build Filters\n 752→\tqueryFilters := make([]*model.NodeFilter, 0)\n 753→\tif cluster != \"\" {\n 754→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 755→\t}\n 756→\tif subCluster != \"\" {\n 757→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 758→\t}\n 759→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 760→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 761→\t}\n 762→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 763→\t\tqueryState := schema.SchedulerState(stateFilter)\n 764→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 765→\t}\n 766→\t// if healthFilter != \"all\" {\n 767→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 768→\t// }\n 769→\n 770→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 771→\tvar backupItems int\n 772→\tif stateFilter == \"notindb\" {\n 773→\t\tbackupItems = page.ItemsPerPage\n 774→\t\tpage.ItemsPerPage = -1\n 775→\t}\n 776→\n 777→\t// Query Nodes From DB\n 778→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 779→\tif serr != nil {\n 780→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 781→\t\treturn nil, nil, 0, false, serr\n 782→\t}\n 783→\n 784→\t// Intermediate Node Result Info\n 785→\tfor _, node := range rawNodes {\n 786→\t\tif node == nil {\n 787→\t\t\tcontinue\n 788→\t\t}\n 789→\t\tnodes = append(nodes, node.Hostname)\n 790→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 791→\t}\n 792→\n 793→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 794→\tif stateFilter == \"notindb\" {\n 795→\t\t// Reapply Original Paging\n 796→\t\tpage.ItemsPerPage = backupItems\n 797→\t\t// Get Nodes From Topology\n 798→\t\tvar topoNodes []string\n 799→\t\tif subCluster != \"\" {\n 800→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 801→\t\t\ttopoNodes = scNodes.PrintList()\n 802→\t\t} else {\n 803→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 804→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 805→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 806→\t\t\t}\n 807→\t\t}\n 808→\t\t// Compare to all nodes from cluster/subcluster in DB\n 809→\t\tvar missingNodes []string\n 810→\t\tfor _, scanNode := range topoNodes {\n 811→\t\t\tif !slices.Contains(nodes, scanNode) {\n 812→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 813→\t\t\t}\n 814→\t\t}\n 815→\t\t// Filter nodes by name\n 816→\t\tif nodeFilter != \"\" {\n 817→\t\t\tfilteredNodesByName := []string{}\n 818→\t\t\tfor _, missingNode := range missingNodes {\n 819→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 820→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 821→\t\t\t\t}\n 822→\t\t\t}\n 823→\t\t\tmissingNodes = filteredNodesByName\n 824→\t\t}\n 825→\t\t// Sort Missing Nodes Alphanumerically\n 826→\t\tslices.Sort(missingNodes)\n 827→\t\t// Total Missing\n 828→\t\tcountNodes = len(missingNodes)\n 829→\t\t// Apply paging\n 830→\t\tif countNodes > page.ItemsPerPage {\n 831→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 832→\t\t\tend := start + page.ItemsPerPage\n 833→\t\t\tif end > countNodes {\n 834→\t\t\t\tend = countNodes\n 835→\t\t\t\thasNextPage = false\n 836→\t\t\t} else {\n 837→\t\t\t\thasNextPage = true\n 838→\t\t\t}\n 839→\t\t\tnodes = missingNodes[start:end]\n 840→\t\t} else {\n 841→\t\t\tnodes = missingNodes\n 842→\t\t}\n 843→\n 844→\t} else {\n 845→\t\t// DB Nodes: Count and derive hasNextPage from count\n 846→\t\tvar cerr error\n 847→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 848→\t\tif cerr != nil {\n 849→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 850→\t\t\treturn nil, nil, 0, false, cerr\n 851→\t\t}\n 852→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 853→\t}\n 854→\n 855→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 856→\tif stateFilter == \"all\" && countNodes == 0 {\n 857→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 858→\t}\n 859→\n 860→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 861→}\n 862→\n 863→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 864→\tuser := GetUserFromContext(ctx)\n 865→\treturn AccessCheckWithUser(user, query)\n 866→}\n 867→\n 868→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 869→\tif user == nil {\n 870→\t\tvar qnil sq.SelectBuilder\n 871→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 872→\t}\n 873→\n 874→\tswitch {\n 875→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 876→\t// \treturn query, nil\n 877→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 878→\t\treturn query, nil\n 879→\tdefault: // No known Role: No Access, return error\n 880→\t\tvar qnil sq.SelectBuilder\n 881→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 882→\t}\n 883→}\n 884→\n 885→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 886→\t// 0) Init additional vars\n 887→\thasNextPage := false\n 888→\ttotalNodes := 0\n 889→\n 890→\t// 1) Get list of all nodes\n 891→\tvar topolNodes []string\n 892→\tif subCluster != \"\" {\n 893→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 894→\t\ttopolNodes = scNodes.PrintList()\n 895→\t} else {\n 896→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 897→\t\tfor _, nodeList := range subClusterNodeLists {\n 898→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 899→\t\t}\n 900→\t}\n 901→\n 902→\t// 2) Filter nodes\n 903→\tif nodeFilter != \"\" {\n 904→\t\tfilteredNodes := []string{}\n 905→\t\tfor _, node := range topolNodes {\n 906→\t\t\tif strings.Contains(node, nodeFilter) {\n 907→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 908→\t\t\t}\n 909→\t\t}\n 910→\t\ttopolNodes = filteredNodes\n 911→\t}\n 912→\n 913→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 914→\ttotalNodes = len(topolNodes)\n 915→\tsort.Strings(topolNodes)\n 916→\n 917→\t// 3) Apply paging\n 918→\tif len(topolNodes) > page.ItemsPerPage {\n 919→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 920→\t\tend := start + page.ItemsPerPage\n 921→\t\tif end >= len(topolNodes) {\n 922→\t\t\tend = len(topolNodes)\n 923→\t\t\thasNextPage = false\n 924→\t\t} else {\n 925→\t\t\thasNextPage = true\n 926→\t\t}\n 927→\t\ttopolNodes = topolNodes[start:end]\n 928→\t}\n 929→\n 930→\treturn topolNodes, totalNodes, hasNextPage\n 931→}\n 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+{"parentUuid":"7d12d80c-ddfe-4da1-bf07-ce2fd2aba9ec","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UMxCyReToFRrj3nPfMgWFx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→\t\"golang.org/x/sync/errgroup\"\n 59→)\n 60→\n 61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 64→var groupBy2column = map[model.Aggregate]string{\n 65→\tmodel.AggregateUser: \"job.hpc_user\",\n 66→\tmodel.AggregateProject: \"job.project\",\n 67→\tmodel.AggregateCluster: \"job.cluster\",\n 68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 69→}\n 70→\n 71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 73→// Column names match the AS aliases used in buildStatsQuery.\n 74→var sortBy2column = map[model.SortByAggregate]string{\n 75→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 76→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 77→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 78→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 80→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 82→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 83→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 84→}\n 85→\n 86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 87→//\n 88→// Parameters:\n 89→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 90→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 91→// - col: Column name to GROUP BY; empty string for total count without grouping\n 92→//\n 93→// Returns a SelectBuilder that produces either:\n 94→// - Single count: COUNT(job.id) when col is empty\n 95→// - Grouped counts: col, COUNT(job.id) when col is specified\n 96→//\n 97→// The kind parameter enables counting specific job categories:\n 98→// - \"running\": Only jobs with job_state = 'running'\n 99→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 100→// - empty: All jobs matching filters\n 101→func (r *JobRepository) buildCountQuery(\n 102→\tfilter []*model.JobFilter,\n 103→\tkind string,\n 104→\tcol string,\n 105→) sq.SelectBuilder {\n 106→\tvar query sq.SelectBuilder\n 107→\n 108→\tif col != \"\" {\n 109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 110→\t} else {\n 111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 112→\t}\n 113→\n 114→\tswitch kind {\n 115→\tcase \"running\":\n 116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n 117→\tcase \"short\":\n 118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 119→\t}\n 120→\n 121→\tfor _, f := range filter {\n 122→\t\tquery = BuildWhereClause(f, query)\n 123→\t}\n 124→\n 125→\treturn query\n 126→}\n 127→\n 128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 130→//\n 131→// Parameters:\n 132→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 133→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 134→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 135→// - reqFields: Set of requested field names; nil means compute all fields\n 136→func (r *JobRepository) buildStatsQuery(\n 137→\tfilter []*model.JobFilter,\n 138→\tcol string,\n 139→\tshortThreshold int,\n 140→\treqFields map[string]bool,\n 141→) sq.SelectBuilder {\n 142→\tnow := time.Now().Unix()\n 143→\n 144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 145→\tneed := func(field string) bool {\n 146→\t\treturn reqFields == nil || reqFields[field]\n 147→\t}\n 148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 149→\n 150→\t// Build column list\n 151→\tcolumns := make([]string, 0, 14)\n 152→\n 153→\tif col != \"\" {\n 154→\t\tcolumns = append(columns, col)\n 155→\t}\n 156→\n 157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 158→\n 159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 161→\t} else {\n 162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 163→\t}\n 164→\n 165→\tif need(\"totalWalltime\") {\n 166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 167→\t} else {\n 168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 169→\t}\n 170→\n 171→\tif need(\"totalNodes\") {\n 172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 173→\t} else {\n 174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 175→\t}\n 176→\n 177→\tif need(\"totalNodeHours\") {\n 178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 179→\t} else {\n 180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 181→\t}\n 182→\n 183→\tif need(\"totalCores\") {\n 184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 185→\t} else {\n 186→\t\tcolumns = append(columns, \"0 as totalCores\")\n 187→\t}\n 188→\n 189→\tif need(\"totalCoreHours\") {\n 190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 191→\t} else {\n 192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 193→\t}\n 194→\n 195→\tif need(\"totalAccs\") {\n 196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 197→\t} else {\n 198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 199→\t}\n 200→\n 201→\tif need(\"totalAccHours\") {\n 202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 203→\t} else {\n 204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 205→\t}\n 206→\n 207→\tif need(\"runningJobs\") {\n 208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 209→\t} else {\n 210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 211→\t}\n 212→\n 213→\tif need(\"shortJobs\") {\n 214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 215→\t} else {\n 216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 217→\t}\n 218→\n 219→\tquery := sq.Select(columns...).From(\"job\")\n 220→\tif col != \"\" {\n 221→\t\tquery = query.GroupBy(col)\n 222→\t}\n 223→\n 224→\tfor _, f := range filter {\n 225→\t\tquery = BuildWhereClause(f, query)\n 226→\t}\n 227→\n 228→\treturn query\n 229→}\n 230→\n 231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 234→func (r *JobRepository) JobsStatsGrouped(\n 235→\tctx context.Context,\n 236→\tfilter []*model.JobFilter,\n 237→\tpage *model.PageRequest,\n 238→\tsortBy *model.SortByAggregate,\n 239→\tgroupBy *model.Aggregate,\n 240→\treqFields map[string]bool,\n 241→) ([]*model.JobsStatistics, error) {\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\treturn stats, nil\n 329→}\n 330→\n 331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 332→//\n 333→// This method provides a single aggregate view of job metrics, useful for dashboard\n 334→// summaries and overall system utilization reports.\n 335→//\n 336→// Parameters:\n 337→// - ctx: Context for security checks and cancellation\n 338→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 339→//\n 340→// Returns a single-element slice containing aggregate statistics:\n 341→// - totalJobs, totalUsers, totalWalltime\n 342→// - totalNodeHours, totalCoreHours, totalAccHours\n 343→//\n 344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 345→// Security checks are applied via SecurityCheck to respect user access levels.\n 346→func (r *JobRepository) JobsStats(\n 347→\tctx context.Context,\n 348→\tfilter []*model.JobFilter,\n 349→\treqFields map[string]bool,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 388→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 389→\t\t\t})\n 390→\t}\n 391→\n 392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 393→\treturn stats, nil\n 394→}\n 395→\n 396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 397→// Returns 0.0 if the metric is not found or statType is invalid.\n 398→//\n 399→// Parameters:\n 400→// - job: Job struct with populated Statistics field\n 401→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 402→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 403→//\n 404→// Returns the requested statistic value or 0.0 if not found.\n 405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 406→\tif stats, ok := job.Statistics[metric]; ok {\n 407→\t\tswitch statType {\n 408→\t\tcase \"avg\":\n 409→\t\t\treturn stats.Avg\n 410→\t\tcase \"max\":\n 411→\t\t\treturn stats.Max\n 412→\t\tcase \"min\":\n 413→\t\t\treturn stats.Min\n 414→\t\tdefault:\n 415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 416→\t\t}\n 417→\t}\n 418→\n 419→\treturn 0.0\n 420→}\n 421→\n 422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 423→//\n 424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 425→// avoiding the overhead of calculating walltime and resource usage metrics.\n 426→//\n 427→// Parameters:\n 428→// - ctx: Context for security checks\n 429→// - filter: Filters to apply\n 430→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 431→//\n 432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 433→func (r *JobRepository) JobCountGrouped(\n 434→\tctx context.Context,\n 435→\tfilter []*model.JobFilter,\n 436→\tgroupBy *model.Aggregate,\n 437→) ([]*model.JobsStatistics, error) {\n 438→\tstart := time.Now()\n 439→\tcol := groupBy2column[*groupBy]\n 440→\tquery := r.buildCountQuery(filter, \"\", col)\n 441→\tquery, err := SecurityCheck(ctx, query)\n 442→\tif err != nil {\n 443→\t\treturn nil, err\n 444→\t}\n 445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 446→\tif err != nil {\n 447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 448→\t\treturn nil, err\n 449→\t}\n 450→\tdefer rows.Close()\n 451→\n 452→\tstats := make([]*model.JobsStatistics, 0, 100)\n 453→\n 454→\tfor rows.Next() {\n 455→\t\tvar id sql.NullString\n 456→\t\tvar cnt sql.NullInt64\n 457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 459→\t\t\treturn nil, err\n 460→\t\t}\n 461→\t\tif id.Valid {\n 462→\t\t\tstats = append(stats,\n 463→\t\t\t\t&model.JobsStatistics{\n 464→\t\t\t\t\tID: id.String,\n 465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 466→\t\t\t\t})\n 467→\t\t}\n 468→\t}\n 469→\n 470→\tif err := rows.Err(); err != nil {\n 471→\t\treturn nil, err\n 472→\t}\n 473→\n 474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 475→\treturn stats, nil\n 476→}\n 477→\n 478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 479→//\n 480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 482→//\n 483→// Parameters:\n 484→// - ctx: Context for security checks\n 485→// - filter: Filters to apply\n 486→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 487→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 488→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 489→//\n 490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 491→// Groups without matching jobs will have 0 for the added field.\n 492→func (r *JobRepository) AddJobCountGrouped(\n 493→\tctx context.Context,\n 494→\tfilter []*model.JobFilter,\n 495→\tgroupBy *model.Aggregate,\n 496→\tstats []*model.JobsStatistics,\n 497→\tkind string,\n 498→) ([]*model.JobsStatistics, error) {\n 499→\tstart := time.Now()\n 500→\tcol := groupBy2column[*groupBy]\n 501→\tquery := r.buildCountQuery(filter, kind, col)\n 502→\tquery, err := SecurityCheck(ctx, query)\n 503→\tif err != nil {\n 504→\t\treturn nil, err\n 505→\t}\n 506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 507→\tif err != nil {\n 508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 509→\t\treturn nil, err\n 510→\t}\n 511→\tdefer rows.Close()\n 512→\n 513→\tcounts := make(map[string]int)\n 514→\n 515→\tfor rows.Next() {\n 516→\t\tvar id sql.NullString\n 517→\t\tvar cnt sql.NullInt64\n 518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\tif id.Valid {\n 523→\t\t\tcounts[id.String] = int(cnt.Int64)\n 524→\t\t}\n 525→\t}\n 526→\n 527→\tif err := rows.Err(); err != nil {\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tswitch kind {\n 532→\tcase \"running\":\n 533→\t\tfor _, s := range stats {\n 534→\t\t\ts.RunningJobs = counts[s.ID]\n 535→\t\t}\n 536→\tcase \"short\":\n 537→\t\tfor _, s := range stats {\n 538→\t\t\ts.ShortJobs = counts[s.ID]\n 539→\t\t}\n 540→\t}\n 541→\n 542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 543→\treturn stats, nil\n 544→}\n 545→\n 546→// AddJobCount augments existing overall statistics with additional job counts by category.\n 547→//\n 548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 549→// to all statistics entries (typically just one).\n 550→//\n 551→// Parameters:\n 552→// - ctx: Context for security checks\n 553→// - filter: Filters to apply\n 554→// - stats: Existing statistics to augment (modified in-place)\n 555→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 556→//\n 557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 558→func (r *JobRepository) AddJobCount(\n 559→\tctx context.Context,\n 560→\tfilter []*model.JobFilter,\n 561→\tstats []*model.JobsStatistics,\n 562→\tkind string,\n 563→) ([]*model.JobsStatistics, error) {\n 564→\tstart := time.Now()\n 565→\tquery := r.buildCountQuery(filter, kind, \"\")\n 566→\tquery, err := SecurityCheck(ctx, query)\n 567→\tif err != nil {\n 568→\t\treturn nil, err\n 569→\t}\n 570→\tvar cnt sql.NullInt64\n 571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 573→\t\treturn nil, err\n 574→\t}\n 575→\n 576→\tcount := int(cnt.Int64)\n 577→\n 578→\tswitch kind {\n 579→\tcase \"running\":\n 580→\t\tfor _, s := range stats {\n 581→\t\t\ts.RunningJobs = count\n 582→\t\t}\n 583→\tcase \"short\":\n 584→\t\tfor _, s := range stats {\n 585→\t\t\ts.ShortJobs = count\n 586→\t\t}\n 587→\t}\n 588→\n 589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 590→\treturn stats, nil\n 591→}\n 592→\n 593→// AddHistograms augments statistics with distribution histograms for job properties.\n 594→//\n 595→// Generates histogram data for visualization of job duration, node count, core count,\n 596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 597→// on the requested resolution.\n 598→//\n 599→// Parameters:\n 600→// - ctx: Context for security checks\n 601→// - filter: Filters to apply to jobs included in histograms\n 602→// - stat: Statistics struct to augment (modified in-place)\n 603→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 604→//\n 605→// Populates these fields in stat:\n 606→// - HistDuration: Job duration distribution (zero-padded bins)\n 607→// - HistNumNodes: Node count distribution\n 608→// - HistNumCores: Core (hwthread) count distribution\n 609→// - HistNumAccs: Accelerator count distribution\n 610→//\n 611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 613→func (r *JobRepository) AddHistograms(\n 614→\tctx context.Context,\n 615→\tfilter []*model.JobFilter,\n 616→\tstat *model.JobsStatistics,\n 617→\tdurationBins *string,\n 618→) (*model.JobsStatistics, error) {\n 619→\tstart := time.Now()\n 620→\n 621→\tvar targetBinCount int\n 622→\tvar targetBinSize int\n 623→\tswitch *durationBins {\n 624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 625→\t\ttargetBinCount = 60\n 626→\t\ttargetBinSize = 60\n 627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 628→\t\ttargetBinCount = 72\n 629→\t\ttargetBinSize = 600\n 630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 631→\t\ttargetBinCount = 48\n 632→\t\ttargetBinSize = 3600\n 633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 634→\t\ttargetBinCount = 12\n 635→\t\ttargetBinSize = 21600\n 636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 637→\t\ttargetBinCount = 14\n 638→\t\ttargetBinSize = 43200\n 639→\tdefault: // 24h\n 640→\t\ttargetBinCount = 24\n 641→\t\ttargetBinSize = 3600\n 642→\t}\n 643→\n 644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n 645→\tg, gctx := errgroup.WithContext(ctx)\n 646→\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\n 649→\tg.Go(func() error {\n 650→\t\tvar err error\n 651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n 652→\t\tif err != nil {\n 653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 654→\t\t}\n 655→\t\treturn err\n 656→\t})\n 657→\tg.Go(func() error {\n 658→\t\tvar err error\n 659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n 660→\t\tif err != nil {\n 661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 662→\t\t}\n 663→\t\treturn err\n 664→\t})\n 665→\tg.Go(func() error {\n 666→\t\tvar err error\n 667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n 668→\t\tif err != nil {\n 669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 670→\t\t}\n 671→\t\treturn err\n 672→\t})\n 673→\tg.Go(func() error {\n 674→\t\tvar err error\n 675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n 676→\t\tif err != nil {\n 677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 678→\t\t}\n 679→\t\treturn err\n 680→\t})\n 681→\n 682→\tif err := g.Wait(); err != nil {\n 683→\t\treturn nil, err\n 684→\t}\n 685→\n 686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 687→\treturn stat, nil\n 688→}\n 689→\n 690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 691→//\n 692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 694→// use footprint data from database.\n 695→//\n 696→// Parameters:\n 697→// - ctx: Context for security checks\n 698→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 699→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 700→// - stat: Statistics struct to augment (modified in-place)\n 701→// - targetBinCount: Number of histogram bins (default: 10)\n 702→//\n 703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 704→//\n 705→// Binning algorithm:\n 706→// - Values normalized to metric's peak value from cluster configuration\n 707→// - Bins evenly distributed from 0 to peak\n 708→// - Pre-initialized with zeros for consistent visualization\n 709→//\n 710→// Limitations:\n 711→// - Running jobs: Limited to 5000 jobs for performance\n 712→// - Requires valid cluster configuration with metric peak values\n 713→// - Uses footprint statistic (avg/max/min) configured per metric\n 714→func (r *JobRepository) AddMetricHistograms(\n 715→\tctx context.Context,\n 716→\tfilter []*model.JobFilter,\n 717→\tmetrics []string,\n 718→\tstat *model.JobsStatistics,\n 719→\ttargetBinCount *int,\n 720→) (*model.JobsStatistics, error) {\n 721→\tstart := time.Now()\n 722→\n 723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 724→\tfor _, f := range filter {\n 725→\t\tif f.State != nil {\n 726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\t\t\t\treturn stat, nil\n 730→\t\t\t}\n 731→\t\t}\n 732→\t}\n 733→\n 734→\t// All other cases: Query and make bins in sqlite directly\n 735→\tfor _, m := range metrics {\n 736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 737→\t\tif err != nil {\n 738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 739→\t\t\tcontinue\n 740→\t\t}\n 741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 742→\t}\n 743→\n 744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 745→\treturn stat, nil\n 746→}\n 747→\n 748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 749→//\n 750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 752→//\n 753→// Parameters:\n 754→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 755→// - filters: Job filters to apply\n 756→//\n 757→// Returns histogram points with Value (from column) and Count (number of jobs).\n 758→func (r *JobRepository) jobsStatisticsHistogram(\n 759→\tctx context.Context,\n 760→\tvalue string,\n 761→\tfilters []*model.JobFilter,\n 762→) ([]*model.HistoPoint, error) {\n 763→\tstart := time.Now()\n 764→\tquery, qerr := SecurityCheck(ctx,\n 765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 766→\n 767→\tif qerr != nil {\n 768→\t\treturn nil, qerr\n 769→\t}\n 770→\n 771→\tfor _, f := range filters {\n 772→\t\tquery = BuildWhereClause(f, query)\n 773→\t}\n 774→\n 775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 776→\tif err != nil {\n 777→\t\tcclog.Error(\"Error while running query\")\n 778→\t\treturn nil, err\n 779→\t}\n 780→\tdefer rows.Close()\n 781→\n 782→\tpoints := make([]*model.HistoPoint, 0)\n 783→\t// is it possible to introduce zero values here? requires info about bincount\n 784→\tfor rows.Next() {\n 785→\t\tpoint := model.HistoPoint{}\n 786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 788→\t\t\treturn nil, err\n 789→\t\t}\n 790→\n 791→\t\tpoints = append(points, &point)\n 792→\t}\n 793→\n 794→\tif err := rows.Err(); err != nil {\n 795→\t\treturn nil, err\n 796→\t}\n 797→\n 798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 799→\treturn points, nil\n 800→}\n 801→\n 802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 803→//\n 804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 805→// histograms which only return bins with data. The value parameter should compute\n 806→// the bin number from job duration.\n 807→//\n 808→// Parameters:\n 809→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 810→// - filters: Job filters to apply\n 811→// - binSizeSeconds: Width of each bin in seconds\n 812→// - targetBinCount: Number of bins to pre-initialize\n 813→//\n 814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 816→//\n 817→// Algorithm:\n 818→// 1. Pre-initialize targetBinCount bins with zero counts\n 819→// 2. Query database for actual counts per bin\n 820→// 3. Match query results to pre-initialized bins by value\n 821→// 4. Bins without matches remain at zero\n 822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 823→\tctx context.Context,\n 824→\tvalue string,\n 825→\tfilters []*model.JobFilter,\n 826→\tbinSizeSeconds int,\n 827→\ttargetBinCount *int,\n 828→) ([]*model.HistoPoint, error) {\n 829→\tstart := time.Now()\n 830→\tquery, qerr := SecurityCheck(ctx,\n 831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 832→\n 833→\tif qerr != nil {\n 834→\t\treturn nil, qerr\n 835→\t}\n 836→\n 837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 840→\tfor i := 1; i <= *targetBinCount; i++ {\n 841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 842→\t\tpoints = append(points, &point)\n 843→\t}\n 844→\n 845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 846→\tbinMap := make(map[int]int, len(points))\n 847→\tfor i, p := range points {\n 848→\t\tbinMap[p.Value] = i\n 849→\t}\n 850→\n 851→\tfor _, f := range filters {\n 852→\t\tquery = BuildWhereClause(f, query)\n 853→\t}\n 854→\n 855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 856→\tif err != nil {\n 857→\t\tcclog.Error(\"Error while running query\")\n 858→\t\treturn nil, err\n 859→\t}\n 860→\tdefer rows.Close()\n 861→\n 862→\t// Match query results to pre-initialized bins using map lookup.\n 863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 864→\tfor rows.Next() {\n 865→\t\tpoint := model.HistoPoint{}\n 866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 868→\t\t\treturn nil, err\n 869→\t\t}\n 870→\n 871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 872→\t\t\tpoints[idx].Count = point.Count\n 873→\t\t}\n 874→\t}\n 875→\n 876→\tif err := rows.Err(); err != nil {\n 877→\t\treturn nil, err\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 881→\treturn points, nil\n 882→}\n 883→\n 884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 885→//\n 886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 888→// and computing bin assignments in SQL.\n 889→//\n 890→// Parameters:\n 891→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 892→// - filters: Job filters to apply\n 893→// - bins: Number of bins to generate\n 894→//\n 895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 896→//\n 897→// Algorithm:\n 898→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 899→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 900→// 3. Pre-initialize bins with min/max ranges based on peak value\n 901→// 4. Query database for counts per bin\n 902→// 5. Match results to pre-initialized bins\n 903→//\n 904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 905→// peak by 0.999999999 to avoid creating an extra bin.\n 906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 907→\tctx context.Context,\n 908→\tmetric string,\n 909→\tfilters []*model.JobFilter,\n 910→\tbins *int,\n 911→) (*model.MetricHistoPoints, error) {\n 912→\t// Peak value defines the upper bound for binning: values are distributed across\n 913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 914→\t// scan all clusters to find the maximum peak value.\n 915→\tvar metricConfig *schema.MetricConfig\n 916→\tvar peak float64\n 917→\tvar unit string\n 918→\tvar footprintStat string\n 919→\n 920→\t// Try to get metric config from filtered cluster\n 921→\tfor _, f := range filters {\n 922→\t\tif f.Cluster != nil {\n 923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 924→\t\t\tpeak = metricConfig.Peak\n 925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 926→\t\t\tfootprintStat = metricConfig.Footprint\n 927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 932→\t// This ensures histogram can accommodate all possible values\n 933→\tif peak == 0.0 {\n 934→\t\tfor _, c := range archive.Clusters {\n 935→\t\t\tfor _, m := range c.MetricConfig {\n 936→\t\t\t\tif m.Name == metric {\n 937→\t\t\t\t\tif m.Peak > peak {\n 938→\t\t\t\t\t\tpeak = m.Peak\n 939→\t\t\t\t\t}\n 940→\t\t\t\t\tif unit == \"\" {\n 941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 942→\t\t\t\t\t}\n 943→\t\t\t\t\tif footprintStat == \"\" {\n 944→\t\t\t\t\t\tfootprintStat = m.Footprint\n 945→\t\t\t\t\t}\n 946→\t\t\t\t}\n 947→\t\t\t}\n 948→\t\t}\n 949→\t}\n 950→\n 951→\t// Construct SQL histogram bins using normalized values.\n 952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 953→\tstart := time.Now()\n 954→\n 955→\t// Bin calculation formula:\n 956→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 957→\t// Special case: value == peak would create bin N+1, so we test for equality\n 958→\t// and multiply peak by 0.999999999 to force it into bin N.\n 959→\tbinQuery := fmt.Sprintf(`CAST(\n 960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 961→\t\t* %v as INTEGER )`,\n 962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 963→\n 964→\tmainQuery := sq.Select(\n 965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 966→\t\t`count(*) as count`,\n 967→\t).From(\"job\").Where(\n 968→\t\t\"JSON_VALID(footprint)\",\n 969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 970→\n 971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 972→\tif qerr != nil {\n 973→\t\treturn nil, qerr\n 974→\t}\n 975→\n 976→\tfor _, f := range filters {\n 977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 978→\t}\n 979→\n 980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 981→\n 982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 983→\tif err != nil {\n 984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 985→\t\treturn nil, err\n 986→\t}\n 987→\tdefer rows.Close()\n 988→\n 989→\t// Pre-initialize bins with calculated min/max ranges.\n 990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 992→\tbinStep := int(peak) / *bins\n 993→\tfor i := 1; i <= *bins; i++ {\n 994→\t\tbinMin := (binStep * (i - 1))\n 995→\t\tbinMax := (binStep * i)\n 996→\t\tidx := i\n 997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 998→\t\tpoints = append(points, &epoint)\n 999→\t}\n 1000→\n 1001→\t// Build a map from bin number to slice index for O(1) lookup.\n 1002→\tbinMap := make(map[int]int, len(points))\n 1003→\tfor i, p := range points {\n 1004→\t\tif p.Bin != nil {\n 1005→\t\t\tbinMap[*p.Bin] = i\n 1006→\t\t}\n 1007→\t}\n 1008→\n 1009→\t// Match query results to pre-initialized bins using map lookup.\n 1010→\tfor rows.Next() {\n 1011→\t\trpoint := model.MetricHistoPoint{}\n 1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1014→\t\t\treturn nil, err\n 1015→\t\t}\n 1016→\n 1017→\t\tif rpoint.Bin != nil {\n 1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1020→\t\t\t}\n 1021→\t\t}\n 1022→\t}\n 1023→\n 1024→\tif err := rows.Err(); err != nil {\n 1025→\t\treturn nil, err\n 1026→\t}\n 1027→\n 1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1029→\n 1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1031→\treturn &result, nil\n 1032→}\n 1033→\n 1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1035→//\n 1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1037→// fetching current metric averages from the metric backend (via metricdispatch).\n 1038→//\n 1039→// Parameters:\n 1040→// - metrics: List of metric names\n 1041→// - filters: Job filters (should filter to running jobs only)\n 1042→// - bins: Number of histogram bins\n 1043→//\n 1044→// Returns slice of MetricHistoPoints, one per metric.\n 1045→//\n 1046→// Limitations:\n 1047→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1048→// - Requires metric backend availability\n 1049→// - Bins based on metric peak values from cluster configuration\n 1050→//\n 1051→// Algorithm:\n 1052→// 1. Query first 5001 jobs to check count limit\n 1053→// 2. Load metric averages for all jobs via metricdispatch\n 1054→// 3. For each metric, create bins based on peak value\n 1055→// 4. Iterate averages and count jobs per bin\n 1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1057→\tctx context.Context,\n 1058→\tmetrics []string,\n 1059→\tfilters []*model.JobFilter,\n 1060→\tbins *int,\n 1061→) []*model.MetricHistoPoints {\n 1062→\t// Get Jobs\n 1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1064→\tif err != nil {\n 1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1066→\t\treturn nil\n 1067→\t}\n 1068→\tif len(jobs) > 5000 {\n 1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1070→\t\treturn nil\n 1071→\t}\n 1072→\n 1073→\t// Get AVGs from metric repo\n 1074→\tavgs := make([][]schema.Float, len(metrics))\n 1075→\tfor i := range avgs {\n 1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1077→\t}\n 1078→\n 1079→\tfor _, job := range jobs {\n 1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1081→\t\t\tcontinue\n 1082→\t\t}\n 1083→\n 1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1086→\t\t\treturn nil\n 1087→\t\t}\n 1088→\t}\n 1089→\n 1090→\t// Iterate metrics to fill endresult\n 1091→\tdata := make([]*model.MetricHistoPoints, 0)\n 1092→\tfor idx, metric := range metrics {\n 1093→\t\t// Get specific Peak or largest Peak\n 1094→\t\tvar metricConfig *schema.MetricConfig\n 1095→\t\tvar peak float64\n 1096→\t\tvar unit string\n 1097→\n 1098→\t\tfor _, f := range filters {\n 1099→\t\t\tif f.Cluster != nil {\n 1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1101→\t\t\t\tpeak = metricConfig.Peak\n 1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1103→\t\t\t}\n 1104→\t\t}\n 1105→\n 1106→\t\tif peak == 0.0 {\n 1107→\t\t\tfor _, c := range archive.Clusters {\n 1108→\t\t\t\tfor _, m := range c.MetricConfig {\n 1109→\t\t\t\t\tif m.Name == metric {\n 1110→\t\t\t\t\t\tif m.Peak > peak {\n 1111→\t\t\t\t\t\t\tpeak = m.Peak\n 1112→\t\t\t\t\t\t}\n 1113→\t\t\t\t\t\tif unit == \"\" {\n 1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1115→\t\t\t\t\t\t}\n 1116→\t\t\t\t\t}\n 1117→\t\t\t\t}\n 1118→\t\t\t}\n 1119→\t\t}\n 1120→\n 1121→\t\t// Make and fill bins\n 1122→\t\tpeakBin := int(peak) / *bins\n 1123→\n 1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1125→\t\tfor b := 0; b < *bins; b++ {\n 1126→\t\t\tcount := 0\n 1127→\t\t\tbindex := b + 1\n 1128→\t\t\tbmin := peakBin * b\n 1129→\t\t\tbmax := peakBin * (b + 1)\n 1130→\n 1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1132→\t\t\tfor _, val := range avgs[idx] {\n 1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1134→\t\t\t\t\tcount += 1\n 1135→\t\t\t\t}\n 1136→\t\t\t}\n 1137→\n 1138→\t\t\t// Append Bin to Metric Result Array\n 1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1140→\t\t\tpoints = append(points, &point)\n 1141→\t\t}\n 1142→\n 1143→\t\t// Append Metric Result Array to final results array\n 1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1145→\t\tdata = append(data, &result)\n 1146→\t}\n 1147→\n 1148→\treturn data\n 1149→}\n 1150→"}]},"uuid":"1b08c0d7-88e3-46bf-b4e5-d3e9eefe380b","timestamp":"2026-03-16T10:18:49.571Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0666b457-3523-46a7-8f45-9dbe3741fc13","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:49.616Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MsWPut4e1zdNwUqThdWiMB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":836,"cache_read_input_tokens":41625,"cache_creation":{"ephemeral_5m_input_tokens":836,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6m24hhGQfoDwA1QQ6","uuid":"ce2b1ee1-e118-4aea-8fff-048c79ce5c13"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","timestamp":"2026-03-16T10:18:49.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7e10136c-ebdc-48e4-9f8c-a7fbd406df6d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y6uvcUMmeCH46KE6L5JveJ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"encoding/json\"\n 9→\t\"maps\"\n 10→\t\"sync\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/jmoiron/sqlx\"\n 19→)\n 20→\n 21→var (\n 22→\tuserCfgRepoOnce sync.Once\n 23→\tuserCfgRepoInstance *UserCfgRepo\n 24→)\n 25→\n 26→type UserCfgRepo struct {\n 27→\tDB *sqlx.DB\n 28→\tLookup *sqlx.Stmt\n 29→\tuiDefaults map[string]any\n 30→\tcache *lrucache.Cache\n 31→\tlock sync.RWMutex\n 32→}\n 33→\n 34→func GetUserCfgRepo() *UserCfgRepo {\n 35→\tuserCfgRepoOnce.Do(func() {\n 36→\t\tdb := GetConnection()\n 37→\n 38→\t\tlookupConfigStmt, err := db.DB.Preparex(`SELECT confkey, value FROM configuration WHERE configuration.username = ?`)\n 39→\t\tif err != nil {\n 40→\t\t\tcclog.Fatalf(\"User Config: Call 'db.DB.Preparex()' failed.\\nError: %s\\n\", err.Error())\n 41→\t\t}\n 42→\n 43→\t\tuserCfgRepoInstance = &UserCfgRepo{\n 44→\t\t\tDB: db.DB,\n 45→\t\t\tLookup: lookupConfigStmt,\n 46→\t\t\tuiDefaults: web.UIDefaultsMap,\n 47→\t\t\tcache: lrucache.New(1024),\n 48→\t\t}\n 49→\t})\n 50→\n 51→\treturn userCfgRepoInstance\n 52→}\n 53→\n 54→// Return the personalised UI config for the currently authenticated\n 55→// user or return the plain default config.\n 56→func (uCfg *UserCfgRepo) GetUIConfig(user *schema.User) (map[string]any, error) {\n 57→\tif user == nil {\n 58→\t\tcopy := make(map[string]any, len(uCfg.uiDefaults))\n 59→\t\tmaps.Copy(copy, uCfg.uiDefaults)\n 60→\t\treturn copy, nil\n 61→\t}\n 62→\n 63→\t// Is the cache invalidated in case the options are changed?\n 64→\tdata := uCfg.cache.Get(user.Username, func() (any, time.Duration, int) {\n 65→\t\tuiconfig := make(map[string]any, len(uCfg.uiDefaults))\n 66→\t\tmaps.Copy(uiconfig, uCfg.uiDefaults)\n 67→\n 68→\t\trows, err := uCfg.Lookup.Query(user.Username)\n 69→\t\tif err != nil {\n 70→\t\t\tcclog.Warnf(\"Error while looking up user uiconfig for user '%v'\", user.Username)\n 71→\t\t\treturn err, 0, 0\n 72→\t\t}\n 73→\n 74→\t\tsize := 0\n 75→\t\tdefer rows.Close()\n 76→\t\tfor rows.Next() {\n 77→\t\t\tvar key, rawval string\n 78→\t\t\tif err := rows.Scan(&key, &rawval); err != nil {\n 79→\t\t\t\tcclog.Warn(\"Error while scanning user uiconfig values\")\n 80→\t\t\t\treturn err, 0, 0\n 81→\t\t\t}\n 82→\n 83→\t\t\tvar val any\n 84→\t\t\tif err := json.Unmarshal([]byte(rawval), &val); err != nil {\n 85→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw user uiconfig json\")\n 86→\t\t\t\treturn err, 0, 0\n 87→\t\t\t}\n 88→\n 89→\t\t\tsize += len(key)\n 90→\t\t\tsize += len(rawval)\n 91→\t\t\tuiconfig[key] = val\n 92→\t\t}\n 93→\n 94→\t\t// Add global ShortRunningJobsDuration setting as jobList_hideShortRunningJobs\n 95→\t\tuiconfig[\"jobList_hideShortRunningJobs\"] = config.Keys.ShortRunningJobsDuration\n 96→\n 97→\t\treturn uiconfig, 24 * time.Hour, size\n 98→\t})\n 99→\tif err, ok := data.(error); ok {\n 100→\t\tcclog.Error(\"Error in returned dataset\")\n 101→\t\treturn nil, err\n 102→\t}\n 103→\n 104→\treturn data.(map[string]any), nil\n 105→}\n 106→\n 107→// If the context does not have a user, update the global ui configuration\n 108→// without persisting it! If there is a (authenticated) user, update only his\n 109→// configuration.\n 110→func (uCfg *UserCfgRepo) UpdateConfig(\n 111→\tkey, value string,\n 112→\tuser *schema.User,\n 113→) error {\n 114→\tif user == nil {\n 115→\t\treturn nil\n 116→\t}\n 117→\n 118→\tif _, err := uCfg.DB.Exec(`REPLACE INTO configuration (username, confkey, value) VALUES (?, ?, ?)`, user.Username, key, value); err != nil {\n 119→\t\tcclog.Warnf(\"Error while replacing user config in DB for user '%v'\", user.Username)\n 120→\t\treturn err\n 121→\t}\n 122→\n 123→\tuCfg.cache.Del(user.Username)\n 124→\treturn nil\n 125→}\n 126→"}]},"uuid":"26b657ef-8d4f-4de6-b998-37cf55ac4d70","timestamp":"2026-03-16T10:18:49.618Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d8270e24-3094-4818-af66-af3c4231100c","timestamp":"2026-03-16T10:18:49.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8270e24-3094-4818-af66-af3c4231100c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:49.739Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MsWPut4e1zdNwUqThdWiMB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KJFyHUDWTGtSRPAXSCrpMx","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":836,"cache_read_input_tokens":41625,"cache_creation":{"ephemeral_5m_input_tokens":836,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6m24hhGQfoDwA1QQ6","uuid":"802b37fe-8e09-4e41-ba0d-057194171cc2"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c1b8a9cc-4d1d-45d3-a3dc-71b0707c22cb","timestamp":"2026-03-16T10:18:49.739Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c1b8a9cc-4d1d-45d3-a3dc-71b0707c22cb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KJFyHUDWTGtSRPAXSCrpMx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\n 10→\t\"github.com/jmoiron/sqlx\"\n 11→)\n 12→\n 13→// Transaction wraps a database transaction for job-related operations.\n 14→type Transaction struct {\n 15→\ttx *sqlx.Tx\n 16→}\n 17→\n 18→// TransactionInit begins a new transaction.\n 19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n 20→\ttx, err := r.DB.Beginx()\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n 23→\t}\n 24→\treturn &Transaction{tx: tx}, nil\n 25→}\n 26→\n 27→// Commit commits the transaction.\n 28→// After calling Commit, the transaction should not be used again.\n 29→func (t *Transaction) Commit() error {\n 30→\tif t.tx == nil {\n 31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n 32→\t}\n 33→\terr := t.tx.Commit()\n 34→\tt.tx = nil // Mark as completed\n 35→\tif err != nil {\n 36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n 37→\t}\n 38→\treturn nil\n 39→}\n 40→\n 41→// Rollback rolls back the transaction.\n 42→// It's safe to call Rollback on an already committed or rolled back transaction.\n 43→func (t *Transaction) Rollback() error {\n 44→\tif t.tx == nil {\n 45→\t\treturn nil // Already committed/rolled back\n 46→\t}\n 47→\terr := t.tx.Rollback()\n 48→\tt.tx = nil // Mark as completed\n 49→\tif err != nil {\n 50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// TransactionEnd commits the transaction.\n 56→// Deprecated: Use Commit() instead.\n 57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n 58→\treturn t.Commit()\n 59→}\n 60→\n 61→// TransactionAddNamed executes a named query within the transaction.\n 62→func (r *JobRepository) TransactionAddNamed(\n 63→\tt *Transaction,\n 64→\tquery string,\n 65→\targs ...any,\n 66→) (int64, error) {\n 67→\tif t.tx == nil {\n 68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 69→\t}\n 70→\n 71→\tres, err := t.tx.NamedExec(query, args)\n 72→\tif err != nil {\n 73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n 74→\t}\n 75→\n 76→\tid, err := res.LastInsertId()\n 77→\tif err != nil {\n 78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 79→\t}\n 80→\n 81→\treturn id, nil\n 82→}\n 83→\n 84→// TransactionAdd executes a query within the transaction.\n 85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n 86→\tif t.tx == nil {\n 87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 88→\t}\n 89→\n 90→\tres, err := t.tx.Exec(query, args...)\n 91→\tif err != nil {\n 92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n 93→\t}\n 94→\n 95→\tid, err := res.LastInsertId()\n 96→\tif err != nil {\n 97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 98→\t}\n 99→\n 100→\treturn id, nil\n 101→}\n 102→"}]},"uuid":"2f9dc6da-4671-40e1-a14d-0290cdfa635a","timestamp":"2026-03-16T10:18:49.741Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"fb473e8e-5f7d-47eb-a554-224897365579","timestamp":"2026-03-16T10:18:49.753Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package taskmanager provides a background task scheduler for the cc-backend.\n 7→// It manages various periodic tasks such as job archiving (retention),\n 8→// database compression, LDAP synchronization, and statistic updates.\n 9→//\n 10→// The package uses the gocron library to schedule tasks. Configuration\n 11→// for the tasks is provided via JSON configs passed to the Start function.\n 12→package taskmanager\n 13→"}]},"uuid":"bf925916-6c87-4f86-914c-bd825e2feae6","timestamp":"2026-03-16T10:18:50.250Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"046a6d5a-489c-43d4-b704-0220d28a94c4","timestamp":"2026-03-16T10:18:50.418Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"046a6d5a-489c-43d4-b704-0220d28a94c4","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.447Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CpiGuLdz7DarZP3aRM8bis","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/taskManager.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"ec380576-bc14-468c-834f-036f8812e933"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","timestamp":"2026-03-16T10:18:50.447Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e910ccc3-d5eb-4e2f-8003-6a46c3a6f551","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CpiGuLdz7DarZP3aRM8bis","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\t\"github.com/go-co-op/gocron/v2\"\n 18→)\n 19→\n 20→const (\n 21→\tDefaultCompressOlderThan = 7\n 22→)\n 23→\n 24→// Retention defines the configuration for job retention policies.\n 25→type Retention struct {\n 26→\tPolicy string `json:\"policy\"`\n 27→\tFormat string `json:\"format\"`\n 28→\tAge int `json:\"age\"`\n 29→\tIncludeDB bool `json:\"include-db\"`\n 30→\tOmitTagged string `json:\"omit-tagged\"`\n 31→\tTargetKind string `json:\"target-kind\"`\n 32→\tTargetPath string `json:\"target-path\"`\n 33→\tTargetEndpoint string `json:\"target-endpoint\"`\n 34→\tTargetBucket string `json:\"target-bucket\"`\n 35→\tTargetAccessKey string `json:\"target-access-key\"`\n 36→\tTargetSecretKey string `json:\"target-secret-key\"`\n 37→\tTargetRegion string `json:\"target-region\"`\n 38→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 39→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 40→}\n 41→\n 42→// CronFrequency defines the execution intervals for various background workers.\n 43→type CronFrequency struct {\n 44→\t// Duration Update Worker [Defaults to '2m']\n 45→\tCommitJobWorker string `json:\"commit-job-worker\"`\n 46→\t// Duration Update Worker [Defaults to '5m']\n 47→\tDurationWorker string `json:\"duration-worker\"`\n 48→\t// Metric-Footprint Update Worker [Defaults to '10m']\n 49→\tFootprintWorker string `json:\"footprint-worker\"`\n 50→}\n 51→\n 52→var (\n 53→\ts gocron.Scheduler\n 54→\tjobRepo *repository.JobRepository\n 55→\t// Keys holds the configured frequencies for cron jobs.\n 56→\tKeys CronFrequency\n 57→)\n 58→\n 59→// parseDuration parses a duration string and handles errors by logging them.\n 60→// It returns the duration and any error encountered.\n 61→func parseDuration(s string) (time.Duration, error) {\n 62→\tinterval, err := time.ParseDuration(s)\n 63→\tif err != nil {\n 64→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n 65→\t\t\ts)\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\tif interval == 0 {\n 70→\t\tcclog.Info(\"TaskManager: Sync interval is zero\")\n 71→\t}\n 72→\n 73→\treturn interval, nil\n 74→}\n 75→\n 76→func initArchiveServices(config json.RawMessage) {\n 77→\tvar cfg struct {\n 78→\t\tRetention Retention `json:\"retention\"`\n 79→\t\tCompression int `json:\"compression\"`\n 80→\t}\n 81→\tcfg.Retention.IncludeDB = true\n 82→\n 83→\tif err := json.Unmarshal(config, &cfg); err != nil {\n 84→\t\tcclog.Errorf(\"error while unmarshaling raw config json: %v\", err)\n 85→\t}\n 86→\n 87→\tswitch cfg.Retention.Policy {\n 88→\tcase \"delete\":\n 89→\t\tRegisterRetentionDeleteService(cfg.Retention)\n 90→\tcase \"copy\":\n 91→\t\tRegisterRetentionCopyService(cfg.Retention)\n 92→\tcase \"move\":\n 93→\t\tRegisterRetentionMoveService(cfg.Retention)\n 94→\t}\n 95→\n 96→\tif cfg.Compression > 0 {\n 97→\t\tRegisterCompressionService(cfg.Compression)\n 98→\t} else {\n 99→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n 100→\t}\n 101→}\n 102→\n 103→// Start initializes the task manager, parses configurations, and registers background tasks.\n 104→// It starts the gocron scheduler.\n 105→func Start(cronCfg, archiveConfig json.RawMessage) {\n 106→\tvar err error\n 107→\tjobRepo = repository.GetJobRepository()\n 108→\ts, err = gocron.NewScheduler()\n 109→\tif err != nil {\n 110→\t\tcclog.Abortf(\"Taskmanager Start: Could not create gocron scheduler.\\nError: %s\\n\", err.Error())\n 111→\t}\n 112→\n 113→\tif config.Keys.StopJobsExceedingWalltime > 0 {\n 114→\t\tRegisterStopJobsExceedTime()\n 115→\t}\n 116→\n 117→\tdec := json.NewDecoder(bytes.NewReader(cronCfg))\n 118→\tdec.DisallowUnknownFields()\n 119→\tif err := dec.Decode(&Keys); err != nil {\n 120→\t\tcclog.Errorf(\"error while decoding cron config: %v\", err)\n 121→\t}\n 122→\n 123→\tif archiveConfig != nil {\n 124→\t\tinitArchiveServices(archiveConfig)\n 125→\t} else {\n 126→\t\t// Always enable compression\n 127→\t\tRegisterCompressionService(DefaultCompressOlderThan)\n 128→\t}\n 129→\n 130→\tlc := auth.Keys.LdapConfig\n 131→\n 132→\tif lc != nil && lc.SyncInterval != \"\" {\n 133→\t\tRegisterLdapSyncService(lc.SyncInterval)\n 134→\t}\n 135→\n 136→\tRegisterFootprintWorker()\n 137→\tRegisterUpdateDurationWorker()\n 138→\tRegisterCommitJobService()\n 139→\n 140→\tif config.Keys.NodeStateRetention != nil && config.Keys.NodeStateRetention.Policy != \"\" {\n 141→\t\tinitNodeStateRetention()\n 142→\t}\n 143→\n 144→\ts.Start()\n 145→}\n 146→\n 147→func initNodeStateRetention() {\n 148→\tcfg := config.Keys.NodeStateRetention\n 149→\tage := cfg.Age\n 150→\tif age <= 0 {\n 151→\t\tage = 24\n 152→\t}\n 153→\n 154→\tswitch cfg.Policy {\n 155→\tcase \"delete\":\n 156→\t\tRegisterNodeStateRetentionDeleteService(age)\n 157→\tcase \"move\":\n 158→\t\tRegisterNodeStateRetentionMoveService(cfg)\n 159→\tdefault:\n 160→\t\tcclog.Warnf(\"Unknown nodestate-retention policy: %s\", cfg.Policy)\n 161→\t}\n 162→}\n 163→\n 164→// Shutdown stops the task manager and its scheduler.\n 165→func Shutdown() {\n 166→\tif s != nil {\n 167→\t\ts.Shutdown()\n 168→\t}\n 169→}\n 170→"}]},"uuid":"b840ac82-4a71-46d9-966b-08f9e24c9ff6","timestamp":"2026-03-16T10:18:50.450Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","timestamp":"2026-03-16T10:18:50.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"01afc9b5-e14c-4c7f-9c82-78662ffd0b55","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:50.952Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01U1b7E1LkY7Mpj9eAiD9htg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016yhvR19UmnU9A4PBVr5Bav","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":732,"cache_read_input_tokens":18318,"cache_creation":{"ephemeral_5m_input_tokens":732,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6owgZ8C1ittjgPqDs","uuid":"fb5717cc-7ae1-4942-aa0d-3cac688edc69"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","timestamp":"2026-03-16T10:18:50.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3abb3ed5-e1ac-444b-8400-ea37551200fc","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016yhvR19UmnU9A4PBVr5Bav","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package main provides the entry point for the ClusterCockpit backend server.\n 7→// This file contains HTTP server setup, routing configuration, and\n 8→// authentication middleware integration.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"crypto/tls\"\n 14→\t\"encoding/json\"\n 15→\t\"errors\"\n 16→\t\"fmt\"\n 17→\t\"net\"\n 18→\t\"net/http\"\n 19→\t\"os\"\n 20→\t\"strings\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/99designs/gqlgen/graphql\"\n 24→\t\"github.com/99designs/gqlgen/graphql/handler\"\n 25→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n 26→\t\"github.com/99designs/gqlgen/graphql/playground\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n 34→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 35→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 36→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 39→\t\"github.com/go-chi/chi/v5\"\n 40→\t\"github.com/go-chi/chi/v5/middleware\"\n 41→\t\"github.com/go-chi/cors\"\n 42→\thttpSwagger \"github.com/swaggo/http-swagger\"\n 43→)\n 44→\n 45→var buildInfo web.Build\n 46→\n 47→// Environment variable names\n 48→const (\n 49→\tenvDebug = \"DEBUG\"\n 50→)\n 51→\n 52→// Server encapsulates the HTTP server state and dependencies\n 53→type Server struct {\n 54→\trouter chi.Router\n 55→\tserver *http.Server\n 56→\trestAPIHandle *api.RestAPI\n 57→\tnatsAPIHandle *api.NatsAPI\n 58→}\n 59→\n 60→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n 61→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 62→\trw.WriteHeader(http.StatusUnauthorized)\n 63→\tjson.NewEncoder(rw).Encode(map[string]string{\n 64→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n 65→\t\t\"error\": err.Error(),\n 66→\t})\n 67→}\n 68→\n 69→// NewServer creates and initializes a new Server instance\n 70→func NewServer(version, commit, buildDate string) (*Server, error) {\n 71→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n 72→\n 73→\ts := &Server{\n 74→\t\trouter: chi.NewRouter(),\n 75→\t}\n 76→\n 77→\tif err := s.init(); err != nil {\n 78→\t\treturn nil, err\n 79→\t}\n 80→\n 81→\treturn s, nil\n 82→}\n 83→\n 84→func (s *Server) init() error {\n 85→\t// Setup the http.Handler/Router used by the server\n 86→\tgraph.Init()\n 87→\tresolver := graph.GetResolverInstance()\n 88→\tgraphQLServer := handler.New(\n 89→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n 90→\n 91→\tgraphQLServer.AddTransport(transport.POST{})\n 92→\n 93→\t// Inject a per-request stats cache so that grouped statistics queries\n 94→\t// sharing the same (filter, groupBy) pair are executed only once.\n 95→\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n 96→\t\treturn next(graph.WithStatsGroupCache(ctx))\n 97→\t})\n 98→\n 99→\tif os.Getenv(envDebug) != \"1\" {\n 100→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n 101→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n 102→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n 103→\t\t\tswitch e := err.(type) {\n 104→\t\t\tcase string:\n 105→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n 106→\t\t\tcase error:\n 107→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n 108→\t\t\t}\n 109→\n 110→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n 111→\t\t})\n 112→\t}\n 113→\n 114→\tauthHandle := auth.GetAuthInstance()\n 115→\n 116→\t// Middleware must be defined before routes in chi\n 117→\ts.router.Use(func(next http.Handler) http.Handler {\n 118→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 119→\t\t\tstart := time.Now()\n 120→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n 121→\t\t\tnext.ServeHTTP(ww, r)\n 122→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n 123→\t\t\t\tr.Method, r.URL.RequestURI(),\n 124→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n 125→\t\t\t\ttime.Since(start).Milliseconds())\n 126→\t\t})\n 127→\t})\n 128→\ts.router.Use(middleware.Compress(5))\n 129→\ts.router.Use(middleware.Recoverer)\n 130→\ts.router.Use(cors.Handler(cors.Options{\n 131→\t\tAllowCredentials: true,\n 132→\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n 133→\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n 134→\t\tAllowedOrigins: []string{\"*\"},\n 135→\t}))\n 136→\n 137→\ts.restAPIHandle = api.New()\n 138→\n 139→\tinfo := map[string]any{}\n 140→\tinfo[\"hasOpenIDConnect\"] = false\n 141→\n 142→\tif auth.Keys.OpenIDConfig != nil {\n 143→\t\topenIDConnect := auth.NewOIDC(authHandle)\n 144→\t\topenIDConnect.RegisterEndpoints(s.router)\n 145→\t\tinfo[\"hasOpenIDConnect\"] = true\n 146→\t}\n 147→\n 148→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n 149→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 150→\t\tcclog.Debugf(\"##%v##\", info)\n 151→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n 152→\t})\n 153→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n 154→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 155→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n 156→\t})\n 157→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n 158→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 159→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n 160→\t})\n 161→\n 162→\tif !config.Keys.DisableAuthentication {\n 163→\t\t// Create login failure handler (used by both /login and /jwt-login)\n 164→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n 165→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 166→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 167→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 168→\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n 169→\t\t\t\tMsgType: \"alert-warning\",\n 170→\t\t\t\tMessage: err.Error(),\n 171→\t\t\t\tBuild: buildInfo,\n 172→\t\t\t\tInfos: info,\n 173→\t\t\t})\n 174→\t\t}\n 175→\n 176→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 177→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 178→\n 179→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n 180→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 181→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 182→\t\t\t\trw.WriteHeader(http.StatusOK)\n 183→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 184→\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n 185→\t\t\t\t\tMsgType: \"alert-info\",\n 186→\t\t\t\t\tMessage: \"Logout successful\",\n 187→\t\t\t\t\tBuild: buildInfo,\n 188→\t\t\t\t\tInfos: info,\n 189→\t\t\t\t})\n 190→\t\t\t})).ServeHTTP)\n 191→\t}\n 192→\n 193→\tif flagDev {\n 194→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n 195→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n 196→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n 197→\t}\n 198→\n 199→\t// Secured routes (require authentication)\n 200→\ts.router.Group(func(secured chi.Router) {\n 201→\t\tif !config.Keys.DisableAuthentication {\n 202→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n 203→\t\t\t\treturn authHandle.Auth(\n 204→\t\t\t\t\tnext,\n 205→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n 206→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 207→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 208→\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n 209→\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n 210→\t\t\t\t\t\t\tMessage: err.Error(),\n 211→\t\t\t\t\t\t\tBuild: buildInfo,\n 212→\t\t\t\t\t\t\tInfos: info,\n 213→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n 214→\t\t\t\t\t\t})\n 215→\t\t\t\t\t})\n 216→\t\t\t})\n 217→\t\t}\n 218→\n 219→\t\tsecured.Handle(\"/query\", graphQLServer)\n 220→\n 221→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n 222→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n 223→\t\t})\n 224→\n 225→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n 226→\t})\n 227→\n 228→\t// API routes (JWT token auth)\n 229→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n 230→\t\t// Main API routes with API auth\n 231→\t\tapiRouter.Group(func(securedapi chi.Router) {\n 232→\t\t\tif !config.Keys.DisableAuthentication {\n 233→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n 234→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n 235→\t\t\t\t})\n 236→\t\t\t}\n 237→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n 238→\t\t})\n 239→\n 240→\t\t// Metric store API routes with separate auth\n 241→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n 242→\t\t\tif !config.Keys.DisableAuthentication {\n 243→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n 244→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n 245→\t\t\t\t})\n 246→\t\t\t}\n 247→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n 248→\t\t})\n 249→\t})\n 250→\n 251→\t// User API routes\n 252→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n 253→\t\tif !config.Keys.DisableAuthentication {\n 254→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n 255→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n 256→\t\t\t})\n 257→\t\t}\n 258→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n 259→\t})\n 260→\n 261→\t// Config API routes (uses Group with full paths to avoid shadowing\n 262→\t// the /config page route that is registered in the secured group)\n 263→\ts.router.Group(func(configapi chi.Router) {\n 264→\t\tif !config.Keys.DisableAuthentication {\n 265→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n 266→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n 267→\t\t\t})\n 268→\t\t}\n 269→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n 270→\t})\n 271→\n 272→\t// Frontend API routes\n 273→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n 274→\t\tif !config.Keys.DisableAuthentication {\n 275→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n 276→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n 277→\t\t\t})\n 278→\t\t}\n 279→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n 280→\t})\n 281→\n 282→\tif config.Keys.APISubjects != nil {\n 283→\t\ts.natsAPIHandle = api.NewNatsAPI()\n 284→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n 285→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n 286→\t\t}\n 287→\t}\n 288→\n 289→\t// 404 handler for pages and API routes\n 290→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n 291→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n 292→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n 293→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n 294→\t\t\trw.WriteHeader(http.StatusNotFound)\n 295→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n 296→\t\t\t\t\"status\": \"Resource not found\",\n 297→\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n 298→\t\t\t})\n 299→\t\t\treturn\n 300→\t\t}\n 301→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n 302→\t\trw.WriteHeader(http.StatusNotFound)\n 303→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n 304→\t\t\tTitle: \"Page Not Found\",\n 305→\t\t\tBuild: buildInfo,\n 306→\t\t})\n 307→\t}\n 308→\n 309→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n 310→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n 311→\ts.router.NotFound(notFoundHandler)\n 312→\n 313→\tif config.Keys.EmbedStaticFiles {\n 314→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n 315→\t\t\tif i.IsDir() {\n 316→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n 317→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n 318→\t\t\t}\n 319→\t\t}\n 320→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n 321→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 322→\t\t\tif web.StaticFileExists(r.URL.Path) {\n 323→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 324→\t\t\t\treturn\n 325→\t\t\t}\n 326→\t\t\tnotFoundHandler(rw, r)\n 327→\t\t}))\n 328→\t} else {\n 329→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n 330→\t\tfileServer := http.FileServer(staticDir)\n 331→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 332→\t\t\tf, err := staticDir.Open(r.URL.Path)\n 333→\t\t\tif err == nil {\n 334→\t\t\t\tf.Close()\n 335→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 336→\t\t\t\treturn\n 337→\t\t\t}\n 338→\t\t\tnotFoundHandler(rw, r)\n 339→\t\t}))\n 340→\t}\n 341→\n 342→\treturn nil\n 343→}\n 344→\n 345→// Server timeout defaults (in seconds)\n 346→const (\n 347→\tdefaultReadTimeout = 20\n 348→\tdefaultWriteTimeout = 20\n 349→)\n 350→\n 351→func (s *Server) Start(ctx context.Context) error {\n 352→\t// Use configurable timeouts with defaults\n 353→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n 354→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n 355→\n 356→\ts.server = &http.Server{\n 357→\t\tReadTimeout: readTimeout,\n 358→\t\tWriteTimeout: writeTimeout,\n 359→\t\tHandler: s.router,\n 360→\t\tAddr: config.Keys.Addr,\n 361→\t}\n 362→\n 363→\t// Start http or https server\n 364→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n 365→\tif err != nil {\n 366→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n 367→\t}\n 368→\n 369→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n 370→\t\tgo func() {\n 371→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n 372→\t\t}()\n 373→\t}\n 374→\n 375→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n 376→\t\tcert, err := tls.LoadX509KeyPair(\n 377→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n 378→\t\tif err != nil {\n 379→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n 380→\t\t}\n 381→\t\tlistener = tls.NewListener(listener, &tls.Config{\n 382→\t\t\tCertificates: []tls.Certificate{cert},\n 383→\t\t\tCipherSuites: []uint16{\n 384→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n 385→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n 386→\t\t\t},\n 387→\t\t\tMinVersion: tls.VersionTLS12,\n 388→\t\t\tPreferServerCipherSuites: true,\n 389→\t\t})\n 390→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n 391→\t} else {\n 392→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n 393→\t}\n 394→\t//\n 395→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n 396→\t// be established first, then the user can be changed, and after that,\n 397→\t// the actual http server can be started.\n 398→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n 399→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n 400→\t}\n 401→\n 402→\t// Handle context cancellation for graceful shutdown\n 403→\tgo func() {\n 404→\t\t<-ctx.Done()\n 405→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n 406→\t\tdefer cancel()\n 407→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 408→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 409→\t\t}\n 410→\t}()\n 411→\n 412→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n 413→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n 414→\t}\n 415→\treturn nil\n 416→}\n 417→\n 418→func (s *Server) Shutdown(ctx context.Context) {\n 419→\t// Create a shutdown context with timeout\n 420→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n 421→\tdefer cancel()\n 422→\n 423→\tnc := nats.GetClient()\n 424→\tif nc != nil {\n 425→\t\tnc.Close()\n 426→\t}\n 427→\n 428→\t// First shut down the server gracefully (waiting for all ongoing requests)\n 429→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 430→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 431→\t}\n 432→\n 433→\t// Archive all the metric store data\n 434→\tms := metricstore.GetMemoryStore()\n 435→\n 436→\tif ms != nil {\n 437→\t\tmetricstore.Shutdown()\n 438→\t}\n 439→\n 440→\t// Shutdown archiver with 10 second timeout for fast shutdown\n 441→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 442→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n 443→\t}\n 444→}\n 445→"}]},"uuid":"7b6c56ec-39d9-4a50-88ed-3b62f3e9c091","timestamp":"2026-03-16T10:18:50.958Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"20c14204-0590-4339-9d5b-3a776c10857e","timestamp":"2026-03-16T10:18:51.005Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"20c14204-0590-4339-9d5b-3a776c10857e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0193rpGYrDC3fDmdnyuNQ9AD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","name":"Agent","input":{"description":"Find tag and job update patterns","subagent_type":"Explore","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4142,"cache_read_input_tokens":75636,"output_tokens":1022,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4142,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6b5GqtNqCizUpBJRonk","type":"assistant","uuid":"be9edc37-8b94-42c3-a207-56a1de047ced","timestamp":"2026-03-16T10:18:51.093Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"a47afbb6-90af-4eec-b7eb-ddc5a43ca5b2","timestamp":"2026-03-16T10:18:51.093Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a47afbb6-90af-4eec-b7eb-ddc5a43ca5b2","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns."}]},"uuid":"675bc080-bb74-4c3c-87bf-1818d9a5e7de","timestamp":"2026-03-16T10:18:51.405Z"},"type":"agent_progress","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"a9507018-e752-4210-b096-d907b9185f1b","timestamp":"2026-03-16T10:18:51.406Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9507018-e752-4210-b096-d907b9185f1b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:51.827Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EYSQna5UcVakBUY28WzWCZ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d6096e1f-fbc2-4b20-9361-db72ba8bbb10"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","timestamp":"2026-03-16T10:18:51.827Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5a11fcda-fbc0-4d2a-b438-24bfece03046","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EYSQna5UcVakBUY28WzWCZ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"bufio\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"errors\"\n 13→\t\"fmt\"\n 14→\t\"net/http\"\n 15→\t\"strconv\"\n 16→\t\"strings\"\n 17→\t\"sync\"\n 18→\t\"time\"\n 19→\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 29→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 30→\t\"github.com/go-chi/chi/v5\"\n 31→)\n 32→\n 33→const (\n 34→\t// secondsPerDay is the number of seconds in 24 hours.\n 35→\t// Used for duplicate job detection within a day window.\n 36→\tsecondsPerDay = 86400\n 37→)\n 38→\n 39→// StopJobAPIRequest model\n 40→type StopJobAPIRequest struct {\n 41→\tJobID *int64 `json:\"jobId\" example:\"123000\"`\n 42→\tCluster *string `json:\"cluster\" example:\"fritz\"`\n 43→\tStartTime *int64 `json:\"startTime\" example:\"1649723812\"`\n 44→\tState schema.JobState `json:\"jobState\" validate:\"required\" example:\"completed\"`\n 45→\tStopTime int64 `json:\"stopTime\" validate:\"required\" example:\"1649763839\"`\n 46→}\n 47→\n 48→// DeleteJobAPIRequest model\n 49→type DeleteJobAPIRequest struct {\n 50→\tJobID *int64 `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n 51→\tCluster *string `json:\"cluster\" example:\"fritz\"` // Cluster of job\n 52→\tStartTime *int64 `json:\"startTime\" example:\"1649723812\"` // Start Time of job as epoch\n 53→}\n 54→\n 55→// GetJobsAPIResponse model\n 56→type GetJobsAPIResponse struct {\n 57→\tJobs []*schema.Job `json:\"jobs\"` // Array of jobs\n 58→\tItems int `json:\"items\"` // Number of jobs returned\n 59→\tPage int `json:\"page\"` // Page id returned\n 60→}\n 61→\n 62→// APITag model\n 63→type APITag struct {\n 64→\t// Tag Type\n 65→\tType string `json:\"type\" example:\"Debug\"`\n 66→\tName string `json:\"name\" example:\"Testjob\"` // Tag Name\n 67→\tScope string `json:\"scope\" example:\"global\"` // Tag Scope for Frontend Display\n 68→}\n 69→\n 70→type EditMetaRequest struct {\n 71→\tKey string `json:\"key\" example:\"jobScript\"`\n 72→\tValue string `json:\"value\" example:\"bash script\"`\n 73→}\n 74→\n 75→// JobMetaRequest model\n 76→type JobMetaRequest struct {\n 77→\tJobId *int64 `json:\"jobId\" validate:\"required\" example:\"123000\"` // Cluster Job ID of job\n 78→\tCluster *string `json:\"cluster\" example:\"fritz\"` // Cluster of job\n 79→\tStartTime *int64 `json:\"startTime\" example:\"1649723812\"` // Start Time of job as epoch\n 80→\tPayload EditMetaRequest `json:\"payload\"` // Content to Add to Job Meta_Data\n 81→}\n 82→\n 83→type TagJobAPIRequest []*APITag\n 84→\n 85→type GetJobAPIRequest []string\n 86→\n 87→type GetJobAPIResponse struct {\n 88→\tMeta *schema.Job\n 89→\tData []*JobMetricWithName\n 90→}\n 91→\n 92→type GetCompleteJobAPIResponse struct {\n 93→\tMeta *schema.Job\n 94→\tData schema.JobData\n 95→}\n 96→\n 97→type JobMetricWithName struct {\n 98→\tMetric *schema.JobMetric `json:\"metric\"`\n 99→\tName string `json:\"name\"`\n 100→\tScope schema.MetricScope `json:\"scope\"`\n 101→}\n 102→\n 103→// getJobs godoc\n 104→// @summary Lists all jobs\n 105→// @tags Job query\n 106→// @description Get a list of all jobs. Filters can be applied using query parameters.\n 107→// @description Number of results can be limited by page. Results are sorted by descending startTime.\n 108→// @produce json\n 109→// @param state query string false \"Job State\" Enums(running, completed, failed, cancelled, stopped, timeout)\n 110→// @param cluster query string false \"Job Cluster\"\n 111→// @param start-time query string false \"Syntax: '$from-$to', as unix epoch timestamps in seconds\"\n 112→// @param items-per-page query int false \"Items per page (Default: 25)\"\n 113→// @param page query int false \"Page Number (Default: 1)\"\n 114→// @param with-metadata query bool false \"Include metadata (e.g. jobScript) in response\"\n 115→// @success 200 {object} api.GetJobsAPIResponse \"Job array and page info\"\n 116→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 117→// @failure 401 \t\t {object} api.ErrorResponse \"Unauthorized\"\n 118→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 119→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 120→// @security ApiKeyAuth\n 121→// @router /api/jobs/ [get]\n 122→func (api *RestAPI) getJobs(rw http.ResponseWriter, r *http.Request) {\n 123→\twithMetadata := false\n 124→\tfilter := &model.JobFilter{}\n 125→\tpage := &model.PageRequest{ItemsPerPage: 25, Page: 1}\n 126→\torder := &model.OrderByInput{Field: \"startTime\", Type: \"col\", Order: model.SortDirectionEnumDesc}\n 127→\n 128→\tfor key, vals := range r.URL.Query() {\n 129→\t\tswitch key {\n 130→\t\tcase \"project\":\n 131→\t\t\tfilter.Project = &model.StringInput{Eq: &vals[0]}\n 132→\t\tcase \"state\":\n 133→\t\t\tfor _, s := range vals {\n 134→\t\t\t\tstate := schema.JobState(s)\n 135→\t\t\t\tif !state.Valid() {\n 136→\t\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: state\"),\n 137→\t\t\t\t\t\thttp.StatusBadRequest, rw)\n 138→\t\t\t\t\treturn\n 139→\t\t\t\t}\n 140→\t\t\t\tfilter.State = append(filter.State, state)\n 141→\t\t\t}\n 142→\t\tcase \"cluster\":\n 143→\t\t\tfilter.Cluster = &model.StringInput{Eq: &vals[0]}\n 144→\t\tcase \"start-time\": // ?startTime=1753707480-1754053139\n 145→\t\t\tst := strings.Split(vals[0], \"-\")\n 146→\t\t\tif len(st) != 2 {\n 147→\t\t\t\thandleError(fmt.Errorf(\"invalid query parameter value: startTime\"),\n 148→\t\t\t\t\thttp.StatusBadRequest, rw)\n 149→\t\t\t\treturn\n 150→\t\t\t}\n 151→\t\t\tfrom, err := strconv.ParseInt(st[0], 10, 64)\n 152→\t\t\tif err != nil {\n 153→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 154→\t\t\t\treturn\n 155→\t\t\t}\n 156→\t\t\tto, err := strconv.ParseInt(st[1], 10, 64)\n 157→\t\t\tif err != nil {\n 158→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 159→\t\t\t\treturn\n 160→\t\t\t}\n 161→\t\t\tufrom, uto := time.Unix(from, 0), time.Unix(to, 0)\n 162→\t\t\tfilter.StartTime = &config.TimeRange{From: &ufrom, To: &uto}\n 163→\t\tcase \"page\":\n 164→\t\t\tx, err := strconv.Atoi(vals[0])\n 165→\t\t\tif err != nil {\n 166→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 167→\t\t\t\treturn\n 168→\t\t\t}\n 169→\t\t\tpage.Page = x\n 170→\t\tcase \"items-per-page\":\n 171→\t\t\tx, err := strconv.Atoi(vals[0])\n 172→\t\t\tif err != nil {\n 173→\t\t\t\thandleError(err, http.StatusBadRequest, rw)\n 174→\t\t\t\treturn\n 175→\t\t\t}\n 176→\t\t\tpage.ItemsPerPage = x\n 177→\t\tcase \"with-metadata\":\n 178→\t\t\twithMetadata = true\n 179→\t\tdefault:\n 180→\t\t\thandleError(fmt.Errorf(\"invalid query parameter: %s\", key),\n 181→\t\t\t\thttp.StatusBadRequest, rw)\n 182→\t\t\treturn\n 183→\t\t}\n 184→\t}\n 185→\n 186→\tjobs, err := api.JobRepository.QueryJobs(r.Context(), []*model.JobFilter{filter}, page, order)\n 187→\tif err != nil {\n 188→\t\thandleError(err, http.StatusInternalServerError, rw)\n 189→\t\treturn\n 190→\t}\n 191→\n 192→\tresults := make([]*schema.Job, 0, len(jobs))\n 193→\tfor _, job := range jobs {\n 194→\t\tif withMetadata {\n 195→\t\t\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n 196→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n 197→\t\t\t\treturn\n 198→\t\t\t}\n 199→\t\t}\n 200→"}]},"uuid":"8fa28d9a-01e0-42a6-90c9-b57102ff1253","timestamp":"2026-03-16T10:18:51.830Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06455334-fd48-4615-b71c-7833878dbe31","timestamp":"2026-03-16T10:18:52.270Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"06455334-fd48-4615-b71c-7833878dbe31","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.307Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0138fSPJx1XBMMc57JEsMKjS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"09122b3a-f95b-4190-800f-1261e69713f0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"034bec39-c50a-4c61-af67-9340a163e069","timestamp":"2026-03-16T10:18:52.307Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"034bec39-c50a-4c61-af67-9340a163e069","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0138fSPJx1XBMMc57JEsMKjS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n 68→\t// when the database is under contention.\n 69→\tjobSem chan struct{}\n 70→\t// nodeSem limits concurrent NATS node state processing.\n 71→\tnodeSem chan struct{}\n 72→}\n 73→\n 74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 75→func NewNatsAPI() *NatsAPI {\n 76→\treturn &NatsAPI{\n 77→\t\tJobRepository: repository.GetJobRepository(),\n 78→\t\tjobSem: make(chan struct{}, 8),\n 79→\t\tnodeSem: make(chan struct{}, 2),\n 80→\t}\n 81→}\n 82→\n 83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 84→// Returns an error if the NATS client is not available or subscription fails.\n 85→func (api *NatsAPI) StartSubscriptions() error {\n 86→\tclient := nats.GetClient()\n 87→\tif client == nil {\n 88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 89→\t\treturn nil\n 90→\t}\n 91→\n 92→\tif config.Keys.APISubjects != nil {\n 93→\n 94→\t\ts := config.Keys.APISubjects\n 95→\n 96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 101→\t\t\treturn err\n 102→\t\t}\n 103→\n 104→\t\tcclog.Info(\"NATS API subscriptions started\")\n 105→\t}\n 106→\treturn nil\n 107→}\n 108→\n 109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 110→// Validates that required tags and fields are present before processing.\n 111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 112→\tfunction, ok := msg.GetTag(\"function\")\n 113→\tif !ok {\n 114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 115→\t\treturn\n 116→\t}\n 117→\n 118→\tswitch function {\n 119→\tcase \"start_job\":\n 120→\t\tv, ok := msg.GetEventValue()\n 121→\t\tif !ok {\n 122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 123→\t\t\treturn\n 124→\t\t}\n 125→\t\tapi.handleStartJob(v)\n 126→\n 127→\tcase \"stop_job\":\n 128→\t\tv, ok := msg.GetEventValue()\n 129→\t\tif !ok {\n 130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 131→\t\t\treturn\n 132→\t\t}\n 133→\t\tapi.handleStopJob(v)\n 134→\n 135→\tdefault:\n 136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 137→\t}\n 138→}\n 139→\n 140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 141→// The message must be in line protocol format with measurement=\"job\" and include:\n 142→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 143→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 144→//\n 145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 147→\tapi.jobSem <- struct{}{}\n 148→\tdefer func() { <-api.jobSem }()\n 149→\n 150→\tif len(data) == 0 {\n 151→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 152→\t\treturn\n 153→\t}\n 154→\n 155→\td := influx.NewDecoderWithBytes(data)\n 156→\n 157→\tfor d.Next() {\n 158→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 159→\t\tif err != nil {\n 160→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 161→\t\t\treturn\n 162→\t\t}\n 163→\n 164→\t\tif !m.IsEvent() {\n 165→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 166→\t\t\tcontinue\n 167→\t\t}\n 168→\n 169→\t\tif m.Name() == \"job\" {\n 170→\t\t\tapi.processJobEvent(m)\n 171→\t\t} else {\n 172→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 173→\t\t}\n 174→\t}\n 175→}\n 176→\n 177→// handleStartJob processes job start messages received via NATS.\n 178→// The payload parameter contains JSON following the schema.Job structure.\n 179→// Jobs are validated, checked for duplicates, and inserted into the database.\n 180→func (api *NatsAPI) handleStartJob(payload string) {\n 181→\tif payload == \"\" {\n 182→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 183→\t\treturn\n 184→\t}\n 185→\treq := schema.Job{\n 186→\t\tShared: \"none\",\n 187→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 188→\t}\n 189→\n 190→\tdec := json.NewDecoder(strings.NewReader(payload))\n 191→\tdec.DisallowUnknownFields()\n 192→\tif err := dec.Decode(&req); err != nil {\n 193→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 194→\t\treturn\n 195→\t}\n 196→\n 197→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 198→\treq.State = schema.JobStateRunning\n 199→\n 200→\tif err := importer.SanityChecks(&req); err != nil {\n 201→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 202→\t\treturn\n 203→\t}\n 204→\n 205→\tvar unlockOnce sync.Once\n 206→\tapi.RepositoryMutex.Lock()\n 207→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 208→\n 209→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 210→\tif err != nil && err != sql.ErrNoRows {\n 211→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 212→\t\treturn\n 213→\t}\n 214→\tif err == nil {\n 215→\t\tfor _, job := range jobs {\n 216→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 217→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 218→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 219→\t\t\t\treturn\n 220→\t\t\t}\n 221→\t\t}\n 222→\t}\n 223→\n 224→\t// When tags are present, insert directly into the job table so that the\n 225→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 226→\tvar id int64\n 227→\tif len(req.Tags) > 0 {\n 228→\t\tid, err = api.JobRepository.StartDirect(&req)\n 229→\t} else {\n 230→\t\tid, err = api.JobRepository.Start(&req)\n 231→\t}\n 232→\tif err != nil {\n 233→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 234→\t\treturn\n 235→\t}\n 236→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 237→\n 238→\tfor _, tag := range req.Tags {\n 239→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 240→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 241→\t\t\treturn\n 242→\t\t}\n 243→\t}\n 244→\n 245→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 246→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 247→}\n 248→\n 249→// handleStopJob processes job stop messages received via NATS.\n 250→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 251→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 252→func (api *NatsAPI) handleStopJob(payload string) {\n 253→\tif payload == \"\" {\n 254→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 255→\t\treturn\n 256→\t}\n 257→\tvar req StopJobAPIRequest\n 258→\n 259→\tdec := json.NewDecoder(strings.NewReader(payload))\n 260→\tdec.DisallowUnknownFields()\n 261→\tif err := dec.Decode(&req); err != nil {\n 262→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 263→\t\treturn\n 264→\t}\n 265→\n 266→\tif req.JobID == nil {\n 267→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 268→\t\treturn\n 269→\t}\n 270→\n 271→\tisCached := false\n 272→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 273→\tif err != nil {\n 274→\t\t// Not in cache, try main job table\n 275→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 276→\t\tif err != nil {\n 277→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 278→\t\t\treturn\n 279→\t\t}\n 280→\t} else {\n 281→\t\tisCached = true\n 282→\t}\n 283→\n 284→\tif job.State != schema.JobStateRunning {\n 285→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 286→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 287→\t\treturn\n 288→\t}\n 289→\n 290→\tif job.StartTime > req.StopTime {\n 291→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 292→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 293→\t\treturn\n 294→\t}\n 295→\n 296→\tif req.State != \"\" && !req.State.Valid() {\n 297→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 298→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 299→\t\treturn\n 300→\t} else if req.State == \"\" 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+{"parentUuid":"de9b01d3-2e31-411a-938e-0c99c9204886","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/commitJobService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"8b56c79f-de9a-4d8a-a5d0-0c28725410d9"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"16f0a124-a349-43c9-b827-a995fb5d376e","timestamp":"2026-03-16T10:18:52.697Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"16f0a124-a349-43c9-b827-a995fb5d376e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GVe7iDsxjAWTtf2dJJLYMn","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/go-co-op/gocron/v2\"\n 14→)\n 15→\n 16→func RegisterCommitJobService() {\n 17→\tvar frequency string\n 18→\tif Keys.CommitJobWorker != \"\" {\n 19→\t\tfrequency = Keys.CommitJobWorker\n 20→\t} else {\n 21→\t\tfrequency = \"2m\"\n 22→\t}\n 23→\n 24→\td, err := parseDuration(frequency)\n 25→\tif err != nil {\n 26→\t\tcclog.Errorf(\"RegisterCommitJobService: %v\", err)\n 27→\t\treturn\n 28→\t}\n 29→\n 30→\tcclog.Infof(\"register commitJob service with %s interval\", frequency)\n 31→\n 32→\ts.NewJob(gocron.DurationJob(d),\n 33→\t\tgocron.NewTask(\n 34→\t\t\tfunc() {\n 35→\t\t\t\tstart := time.Now()\n 36→\t\t\t\tcclog.Debugf(\"jobcache sync started at %s\\n\", start.Format(time.RFC3339))\n 37→\t\t\t\tjobs, _ := jobRepo.SyncJobs()\n 38→\t\t\t\trepository.CallJobStartHooks(jobs)\n 39→\t\t\t\tcclog.Debugf(\"jobcache sync and job callbacks are done and took %s\\n\", time.Since(start))\n 40→\t\t\t}))\n 41→}\n 42→"}]},"uuid":"ad4207db-30ea-473c-9763-0b212db62b2f","timestamp":"2026-03-16T10:18:52.699Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f7507017-4225-4c02-979d-0ff1692fe91c","timestamp":"2026-03-16T10:18:52.699Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f7507017-4225-4c02-979d-0ff1692fe91c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMUW3tZPqHat9qa6eqbpH","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n 120→\tfor _, node := range req.Nodes {\n 121→\t\tstate := determineState(node.States)\n 122→\t\thealthState := schema.MonitoringStateFailed\n 123→\t\tvar healthMetrics string\n 124→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 125→\t\t\thealthState = result.State\n 126→\t\t\thealthMetrics = result.HealthMetrics\n 127→\t\t}\n 128→\t\tnodeState := schema.NodeStateDB{\n 129→\t\t\tTimeStamp: requestReceived,\n 130→\t\t\tNodeState: state,\n 131→\t\t\tCpusAllocated: node.CpusAllocated,\n 132→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 133→\t\t\tGpusAllocated: node.GpusAllocated,\n 134→\t\t\tHealthState: healthState,\n 135→\t\t\tHealthMetrics: healthMetrics,\n 136→\t\t\tJobsRunning: node.JobsRunning,\n 137→\t\t}\n 138→\t\tupdates = append(updates, repository.NodeStateUpdate{\n 139→\t\t\tHostname: node.Hostname,\n 140→\t\t\tCluster: req.Cluster,\n 141→\t\t\tNodeState: &nodeState,\n 142→\t\t})\n 143→\t}\n 144→\n 145→\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n 146→\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n 147→\t}\n 148→\n 149→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 150→}\n 151→"}]},"uuid":"9c0cfab7-e9bd-4969-b758-0f23af3316fb","timestamp":"2026-03-16T10:18:52.504Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","timestamp":"2026-03-16T10:18:52.723Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"38f8eff9-fb41-4be7-899f-5b163e75c8a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:52.749Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014RpU7fRmzbTvy6u5LUG6sy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JosVmFqzYDA93aNdHQs2th","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":32692,"cache_read_input_tokens":42461,"cache_creation":{"ephemeral_5m_input_tokens":32692,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6uZ2XXuQVqpSoyuCh","uuid":"d8545824-1bd7-405d-96bf-deb7db5c79cb"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"16133c4f-e6f2-4137-8f84-82593c680f07","timestamp":"2026-03-16T10:18:52.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"16133c4f-e6f2-4137-8f84-82593c680f07","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JosVmFqzYDA93aNdHQs2th","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"net/http\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 16→\t\"github.com/go-chi/chi/v5\"\n 17→)\n 18→\n 19→type APIReturnedUser struct {\n 20→\tUsername string `json:\"username\"`\n 21→\tName string `json:\"name\"`\n 22→\tRoles []string `json:\"roles\"`\n 23→\tEmail string `json:\"email\"`\n 24→\tProjects []string `json:\"projects\"`\n 25→}\n 26→\n 27→// getUsers godoc\n 28→// @summary Returns a list of users\n 29→// @tags User\n 30→// @description Returns a JSON-encoded list of users.\n 31→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 32→// @produce json\n 33→// @param not-just-user query bool true \"If returned list should contain all users or only users with additional special roles\"\n 34→// @success 200 {array} api.APIReturnedUser \"List of users returned successfully\"\n 35→// @failure 400 {string} string \"Bad Request\"\n 36→// @failure 401 {string} string \"Unauthorized\"\n 37→// @failure 403 {string} string \"Forbidden\"\n 38→// @failure 500 {string} string \"Internal Server Error\"\n 39→// @security ApiKeyAuth\n 40→// @router /api/users/ [get]\n 41→func (api *RestAPI) getUsers(rw http.ResponseWriter, r *http.Request) {\n 42→\t// SecuredCheck() only worked with TokenAuth: Removed\n 43→\n 44→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n 45→\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of users\"), http.StatusForbidden, rw)\n 46→\t\treturn\n 47→\t}\n 48→\n 49→\tusers, err := repository.GetUserRepository().ListUsers(r.URL.Query().Get(\"not-just-user\") == \"true\")\n 50→\tif err != nil {\n 51→\t\thandleError(fmt.Errorf(\"listing users failed: %w\", err), http.StatusInternalServerError, rw)\n 52→\t\treturn\n 53→\t}\n 54→\n 55→\trw.Header().Set(\"Content-Type\", \"application/json\")\n 56→\tif err := json.NewEncoder(rw).Encode(users); err != nil {\n 57→\t\tcclog.Errorf(\"Failed to encode users response: %v\", err)\n 58→\t}\n 59→}\n 60→\n 61→// updateUser godoc\n 62→// @summary Update user roles and projects\n 63→// @tags User\n 64→// @description Allows admins to add/remove roles and projects for a user\n 65→// @produce plain\n 66→// @param id path string true \"Username\"\n 67→// @param add-role formData string false \"Role to add\"\n 68→// @param remove-role formData string false \"Role to remove\"\n 69→// @param add-project formData string false \"Project to add\"\n 70→// @param remove-project formData string false \"Project to remove\"\n 71→// @success 200 {string} string \"Success message\"\n 72→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 73→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity\"\n 74→// @security ApiKeyAuth\n 75→// @router /api/user/{id} [post]\n 76→func (api *RestAPI) updateUser(rw http.ResponseWriter, r *http.Request) {\n 77→\t// SecuredCheck() only worked with TokenAuth: Removed\n 78→\n 79→\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n 80→\t\thandleError(fmt.Errorf(\"only admins are allowed to update a user\"), http.StatusForbidden, rw)\n 81→\t\treturn\n 82→\t}\n 83→\n 84→\t// Get Values\n 85→\tnewrole := r.FormValue(\"add-role\")\n 86→\tdelrole := r.FormValue(\"remove-role\")\n 87→\tnewproj := r.FormValue(\"add-project\")\n 88→\tdelproj := r.FormValue(\"remove-project\")\n 89→\n 90→\trw.Header().Set(\"Content-Type\", \"application/json\")\n 91→\n 92→\t// Handle role updates\n 93→\tif newrole != \"\" {\n 94→\t\tif err := repository.GetUserRepository().AddRole(r.Context(), chi.URLParam(r, \"id\"), newrole); err != nil {\n 95→\t\t\thandleError(fmt.Errorf(\"adding role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 96→\t\t\treturn\n 97→\t\t}\n 98→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Role Success\"}); err != nil {\n 99→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 100→\t\t}\n 101→\t} else if delrole != \"\" {\n 102→\t\tif err := repository.GetUserRepository().RemoveRole(r.Context(), chi.URLParam(r, \"id\"), delrole); err != nil {\n 103→\t\t\thandleError(fmt.Errorf(\"removing role failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 104→\t\t\treturn\n 105→\t\t}\n 106→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Role Success\"}); err != nil {\n 107→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 108→\t\t}\n 109→\t} else if newproj != \"\" {\n 110→\t\tif err := repository.GetUserRepository().AddProject(r.Context(), chi.URLParam(r, \"id\"), newproj); err != nil {\n 111→\t\t\thandleError(fmt.Errorf(\"adding project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 112→\t\t\treturn\n 113→\t\t}\n 114→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Add Project Success\"}); err != nil {\n 115→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 116→\t\t}\n 117→\t} else if delproj != \"\" {\n 118→\t\tif err := repository.GetUserRepository().RemoveProject(r.Context(), chi.URLParam(r, \"id\"), delproj); err != nil {\n 119→\t\t\thandleError(fmt.Errorf(\"removing project failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 120→\t\t\treturn\n 121→\t\t}\n 122→\t\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{Message: \"Remove Project Success\"}); err != nil {\n 123→\t\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 124→\t\t}\n 125→\t} else {\n 126→\t\thandleError(fmt.Errorf(\"no operation specified: must provide add-role, remove-role, add-project, or remove-project\"), http.StatusBadRequest, rw)\n 127→\t}\n 128→}\n 129→\n 130→// createUser godoc\n 131→// @summary Create a new user\n 132→// @tags User\n 133→// @description Creates a new user with specified credentials and role\n 134→// @produce plain\n 135→// @param username formData string true \"Username\"\n 136→// @param password formData string false \"Password (not required for API users)\"\n 137→// @param role formData string true \"User role\"\n 138→// @param name formData string false \"Full name\"\n 139→// @param email formData string false \"Email address\"\n 140→// @param project formData string false \"Project (required for managers)\"\n 141→// @success 200 {string} string \"Success message\"\n 142→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 143→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 144→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity\"\n 145→// @security ApiKeyAuth\n 146→// @router /api/users/ [post]\n 147→func (api *RestAPI) createUser(rw http.ResponseWriter, r *http.Request) {\n 148→\t// SecuredCheck() only worked with TokenAuth: Removed\n 149→\n 150→\trw.Header().Set(\"Content-Type\", \"text/plain\")\n 151→\tme := repository.GetUserFromContext(r.Context())\n 152→\tif !me.HasRole(schema.RoleAdmin) {\n 153→\t\thandleError(fmt.Errorf(\"only admins are allowed to create new users\"), http.StatusForbidden, rw)\n 154→\t\treturn\n 155→\t}\n 156→\n 157→\tusername, password, role, name, email, project := r.FormValue(\"username\"),\n 158→\t\tr.FormValue(\"password\"), r.FormValue(\"role\"), r.FormValue(\"name\"),\n 159→\t\tr.FormValue(\"email\"), r.FormValue(\"project\")\n 160→\n 161→\t// Validate username length\n 162→\tif len(username) == 0 || len(username) > 100 {\n 163→\t\thandleError(fmt.Errorf(\"username must be between 1 and 100 characters\"), http.StatusBadRequest, rw)\n 164→\t\treturn\n 165→\t}\n 166→\n 167→\tif len(password) == 0 && role != schema.GetRoleString(schema.RoleAPI) {\n 168→\t\thandleError(fmt.Errorf(\"only API users are allowed to have a blank password (login will be impossible)\"), http.StatusBadRequest, rw)\n 169→\t\treturn\n 170→\t}\n 171→\n 172→\tif len(project) != 0 && role != schema.GetRoleString(schema.RoleManager) {\n 173→\t\thandleError(fmt.Errorf(\"only managers require a project (can be changed later)\"), http.StatusBadRequest, rw)\n 174→\t\treturn\n 175→\t} else if len(project) == 0 && role == schema.GetRoleString(schema.RoleManager) {\n 176→\t\thandleError(fmt.Errorf(\"managers require a project to manage (can be changed later)\"), http.StatusBadRequest, rw)\n 177→\t\treturn\n 178→\t}\n 179→\n 180→\tif err := repository.GetUserRepository().AddUser(&schema.User{\n 181→\t\tUsername: username,\n 182→\t\tName: name,\n 183→\t\tPassword: password,\n 184→\t\tEmail: email,\n 185→\t\tProjects: []string{project},\n 186→\t\tRoles: []string{role},\n 187→\t}); err != nil {\n 188→\t\thandleError(fmt.Errorf(\"adding user failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 189→\t\treturn\n 190→\t}\n 191→\n 192→\tfmt.Fprintf(rw, \"User %v successfully created!\\n\", username)\n 193→}\n 194→\n 195→// deleteUser godoc\n 196→// @summary Delete a user\n 197→// @tags User\n 198→// @description Deletes a user from the system\n 199→// @produce plain\n 200→// @param username formData string true \"Username to delete\""}]},"uuid":"cfb5b7b8-055b-4956-adeb-e63317b9b0c9","timestamp":"2026-03-16T10:18:52.751Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"7d4200d1-0800-4d5c-be33-f38c9788a1c2","timestamp":"2026-03-16T10:18:52.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 12→\t\"github.com/go-co-op/gocron/v2\"\n 13→)\n 14→\n 15→func RegisterUpdateDurationWorker() {\n 16→\tvar frequency string\n 17→\tif Keys.DurationWorker != \"\" {\n 18→\t\tfrequency = Keys.DurationWorker\n 19→\t} else {\n 20→\t\tfrequency = \"5m\"\n 21→\t}\n 22→\n 23→\td, err := parseDuration(frequency)\n 24→\tif err != nil {\n 25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n 26→\t\treturn\n 27→\t}\n 28→\n 29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n 30→\n 31→\ts.NewJob(gocron.DurationJob(d),\n 32→\t\tgocron.NewTask(\n 33→\t\t\tfunc() {\n 34→\t\t\t\tstart := time.Now()\n 35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"math\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→\t\"github.com/go-co-op/gocron/v2\"\n 19→)\n 20→\n 21→func RegisterFootprintWorker() {\n 22→\tvar frequency string\n 23→\tif Keys.FootprintWorker != \"\" {\n 24→\t\tfrequency = Keys.FootprintWorker\n 25→\t} else {\n 26→\t\tfrequency = \"10m\"\n 27→\t}\n 28→\n 29→\td, err := parseDuration(frequency)\n 30→\tif err != nil {\n 31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n 32→\t\treturn\n 33→\t}\n 34→\n 35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n 36→\n 37→\ts.NewJob(gocron.DurationJob(d),\n 38→\t\tgocron.NewTask(\n 39→\t\t\tfunc() {\n 40→\t\t\t\ts := time.Now()\n 41→\t\t\t\tc := 0\n 42→\t\t\t\tce := 0\n 43→\t\t\t\tcl := 0\n 44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n 45→\n 46→\t\t\t\tfor _, cluster := range archive.Clusters {\n 47→\t\t\t\t\tsCluster := time.Now()\n 48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n 49→\t\t\t\t\tif err != nil {\n 50→\t\t\t\t\t\tcontinue\n 51→\t\t\t\t\t}\n 52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n 53→\t\t\t\t\t// - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n 54→\t\t\t\t\t// - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n 55→\t\t\t\t\tallMetrics := make([]string, 0)\n 56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n 57→\t\t\t\t\tfor _, mc := range metricConfigs {\n 58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n 59→\t\t\t\t\t}\n 60→\n 61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n 62→\n 63→\t\t\t\t\tfor _, job := range jobs {\n 64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n 65→\t\t\t\t\t\tcl++\n 66→\n 67→\t\t\t\t\t\tsJob := time.Now()\n 68→\n 69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n 70→\t\t\t\t\t\tif err != nil {\n 71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n 72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n 73→\t\t\t\t\t\t\tcontinue\n 74→\t\t\t\t\t\t}\n 75→\n 76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n 77→\t\t\t\t\t\tif err != nil {\n 78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n 79→\t\t\t\t\t\t\tce++\n 80→\t\t\t\t\t\t\tcontinue\n 81→\t\t\t\t\t\t}\n 82→\n 83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n 84→\n 85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n 86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n 87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n 88→\t\t\t\t\t\t\tif ok {\n 89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n 90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n 91→\t\t\t\t\t\t\t\t\tif ok {\n 92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n 93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n 94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n 95→\t\t\t\t\t\t\t\t\t}\n 96→\n 97→\t\t\t\t\t\t\t\t}\n 98→\t\t\t\t\t\t\t}\n 99→\n 100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n 101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n 102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n 103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n 104→\t\t\t\t\t\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n 105→\t\t\t\t\t\t\t\t},\n 106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n 107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n 108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n 109→\t\t\t\t\t\t\t}\n 110→\t\t\t\t\t\t}\n 111→\n 112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n 113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n 114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n 115→\t\t\t\t\t\tif err != nil {\n 116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n 117→\t\t\t\t\t\t\tce++\n 118→\t\t\t\t\t\t\tcontinue\n 119→\t\t\t\t\t\t}\n 120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n 121→\n 122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n 123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n 124→\t\t\t\t\t}\n 125→\n 126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n 127→\t\t\t\t\tif err != nil {\n 128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n 129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n 130→\t\t\t\t\t\tce += len(pendingStatements)\n 131→\t\t\t\t\t} else {\n 132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n 133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n 134→\t\t\t\t\t\t\tif err != nil {\n 135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n 136→\t\t\t\t\t\t\t\tce++\n 137→\t\t\t\t\t\t\t} else {\n 138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n 139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n 140→\t\t\t\t\t\t\t\tc++\n 141→\t\t\t\t\t\t\t}\n 142→\t\t\t\t\t\t}\n 143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n 144→\t\t\t\t\t}\n 145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n 146→\t\t\t\t}\n 147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n 148→\t\t\t}))\n 149→}\n 150→"}]},"uuid":"456413bc-a565-41c3-8e87-0176895a1829","timestamp":"2026-03-16T10:18:53.748Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","timestamp":"2026-03-16T10:18:53.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"62e873a3-baee-4dfc-bd4b-7561978a26db","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:53.883Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_018BvSFRrKwvkCJRXsXqyqUE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AgTvRhCb8gogxUyXufTPVG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/stopJobsExceedTime.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":9364,"cache_read_input_tokens":19050,"cache_creation":{"ephemeral_5m_input_tokens":9364,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b6ztkQgkP8T8PDj2ki","uuid":"275b6292-64a1-469e-aad2-b5ac3c937ab7"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","timestamp":"2026-03-16T10:18:53.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"64a11e98-8055-4b1b-96dc-12e53e891a63","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AgTvRhCb8gogxUyXufTPVG","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"runtime\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/go-co-op/gocron/v2\"\n 14→)\n 15→\n 16→func RegisterStopJobsExceedTime() {\n 17→\tcclog.Info(\"Register undead jobs service\")\n 18→\n 19→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n 20→\t\tgocron.NewTask(\n 21→\t\t\tfunc() {\n 22→\t\t\t\terr := jobRepo.StopJobsExceedingWalltimeBy(config.Keys.StopJobsExceedingWalltime)\n 23→\t\t\t\tif err != nil {\n 24→\t\t\t\t\tcclog.Warnf(\"Error while looking for jobs exceeding their walltime: %s\", err.Error())\n 25→\t\t\t\t}\n 26→\t\t\t\truntime.GC()\n 27→\t\t\t}))\n 28→}\n 29→"}]},"uuid":"03034ea9-4ee9-4f15-8b41-a1bc34ca5277","timestamp":"2026-03-16T10:18:53.886Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","timestamp":"2026-03-16T10:18:53.917Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4c5ceac1-a9ff-4333-8da3-a644badda1f2","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.653Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01McQ9T6QxDeit77LG46688e","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"6ed43860-a4f9-409a-801f-725f1579de56"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","timestamp":"2026-03-16T10:18:54.653Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"403384bf-dcc2-4280-82ff-b68ed75734cd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01McQ9T6QxDeit77LG46688e","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"24f743bb-f6b7-4740-81ba-80bbe330ba82","timestamp":"2026-03-16T10:18:54.661Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","timestamp":"2026-03-16T10:18:54.885Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fc679690-cf7e-4f11-b0bb-8bd2e3b0aa82","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:54.889Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012fdQFVceLrtsY7t3g5NiYW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"5821928a-64f5-4494-a6ab-4062a001ad17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2da4ab86-6292-4c47-b96c-9472738423a3","timestamp":"2026-03-16T10:18:54.889Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2da4ab86-6292-4c47-b96c-9472738423a3","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fdQFVceLrtsY7t3g5NiYW","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n 96→\ttx, err := r.DB.Beginx()\n 97→\tif err != nil {\n 98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tdefer tx.Rollback()\n 102→\n 103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 104→\t_, err = tx.Exec(\n 105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 106→\tif err != nil {\n 107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n 112→\tif err != nil {\n 113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 114→\t\treturn nil, err\n 115→\t}\n 116→\n 117→\tif err := tx.Commit(); err != nil {\n 118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 123→\t// are from a different auto-increment sequence and must not be used to\n 124→\t// query the job table.\n 125→\tfor _, job := range jobs {\n 126→\t\tvar newID int64\n 127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {\n 158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 159→\t}\n 160→\n 161→\treturn newID, nil\n 162→}\n 163→\n 164→// Start inserts a new job in the table, returning the unique job ID.\n 165→// Statistics are not transfered!\n 166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 168→\tif err != nil {\n 169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 170→\t}\n 171→\n 172→\tjob.RawResources, err = json.Marshal(job.Resources)\n 173→\tif err != nil {\n 174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 175→\t}\n 176→\n 177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 178→\tif err != nil {\n 179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 180→\t}\n 181→\n 182→\treturn r.InsertJob(job)\n 183→}\n 184→\n 185→// StartDirect inserts a new job directly into the job table (not job_cache).\n 186→// Use this when the returned ID will immediately be used for job table\n 187→// operations such as adding tags.\n 188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 190→\tif err != nil {\n 191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 192→\t}\n 193→\n 194→\tjob.RawResources, err = json.Marshal(job.Resources)\n 195→\tif err != nil {\n 196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 197→\t}\n 198→\n 199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 200→\tif err != nil {\n 201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 202→\t}\n 203→\n 204→\treturn r.InsertJobDirect(job)\n 205→}\n 206→\n 207→// Stop updates the job with the database id jobId using the provided arguments.\n 208→func (r *JobRepository) Stop(\n 209→\tjobID int64,\n 210→\tduration int32,\n 211→\tstate schema.JobState,\n 212→\tmonitoringStatus int32,\n 213→) (err error) {\n 214→\t// Invalidate cache entries as job state is changing\n 215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 217→\n 218→\tstmt := sq.Update(\"job\").\n 219→\t\tSet(\"job_state\", state).\n 220→\t\tSet(\"duration\", duration).\n 221→\t\tSet(\"monitoring_status\", monitoringStatus).\n 222→\t\tWhere(\"job.id = ?\", jobID)\n 223→\n 224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 225→\treturn err\n 226→}\n 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+{"parentUuid":"6982164d-b24f-4e35-89a8-341592893f04","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X1wWyRjNqL5ZvzQvFVYAUx","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"os\"\n 12→\t\"path/filepath\"\n 13→\t\"strconv\"\n 14→\t\"strings\"\n 15→\t\"time\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\t\"github.com/go-co-op/gocron/v2\"\n 22→)\n 23→\n 24→// createParquetTarget creates a ParquetTarget (file or S3) from the retention config.\n 25→func createParquetTarget(cfg Retention) (pqarchive.ParquetTarget, error) {\n 26→\tswitch cfg.TargetKind {\n 27→\tcase \"s3\":\n 28→\t\treturn pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n 29→\t\t\tEndpoint: cfg.TargetEndpoint,\n 30→\t\t\tBucket: cfg.TargetBucket,\n 31→\t\t\tAccessKey: cfg.TargetAccessKey,\n 32→\t\t\tSecretKey: cfg.TargetSecretKey,\n 33→\t\t\tRegion: cfg.TargetRegion,\n 34→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n 35→\t\t})\n 36→\tdefault:\n 37→\t\treturn pqarchive.NewFileTarget(cfg.TargetPath)\n 38→\t}\n 39→}\n 40→\n 41→// createTargetBackend creates a secondary archive backend (file or S3) for JSON copy/move.\n 42→func createTargetBackend(cfg Retention) (archive.ArchiveBackend, error) {\n 43→\tvar raw json.RawMessage\n 44→\tvar err error\n 45→\n 46→\tswitch cfg.TargetKind {\n 47→\tcase \"s3\":\n 48→\t\traw, err = json.Marshal(map[string]any{\n 49→\t\t\t\"kind\": \"s3\",\n 50→\t\t\t\"endpoint\": cfg.TargetEndpoint,\n 51→\t\t\t\"bucket\": cfg.TargetBucket,\n 52→\t\t\t\"access-key\": cfg.TargetAccessKey,\n 53→\t\t\t\"secret-key\": cfg.TargetSecretKey,\n 54→\t\t\t\"region\": cfg.TargetRegion,\n 55→\t\t\t\"use-path-style\": cfg.TargetUsePathStyle,\n 56→\t\t})\n 57→\tdefault:\n 58→\t\traw, err = json.Marshal(map[string]string{\n 59→\t\t\t\"kind\": \"file\",\n 60→\t\t\t\"path\": cfg.TargetPath,\n 61→\t\t})\n 62→\t}\n 63→\tif err != nil {\n 64→\t\treturn nil, fmt.Errorf(\"marshal target config: %w\", err)\n 65→\t}\n 66→\treturn archive.InitBackend(raw)\n 67→}\n 68→\n 69→// transferJobsJSON copies job data from source archive to target backend in JSON format.\n 70→func transferJobsJSON(jobs []*schema.Job, src archive.ArchiveBackend, dst archive.ArchiveBackend) error {\n 71→\t// Transfer cluster configs for all clusters referenced by jobs\n 72→\tclustersDone := make(map[string]bool)\n 73→\tfor _, job := range jobs {\n 74→\t\tif clustersDone[job.Cluster] {\n 75→\t\t\tcontinue\n 76→\t\t}\n 77→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n 78→\t\tif err != nil {\n 79→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n 80→\t\t} else {\n 81→\t\t\tif err := dst.StoreClusterCfg(job.Cluster, clusterCfg); err != nil {\n 82→\t\t\t\tcclog.Warnf(\"Retention: store cluster config %q: %v\", job.Cluster, err)\n 83→\t\t\t}\n 84→\t\t}\n 85→\t\tclustersDone[job.Cluster] = true\n 86→\t}\n 87→\n 88→\tfor _, job := range jobs {\n 89→\t\tmeta, err := src.LoadJobMeta(job)\n 90→\t\tif err != nil {\n 91→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n 92→\t\t\tcontinue\n 93→\t\t}\n 94→\t\tdata, err := src.LoadJobData(job)\n 95→\t\tif err != nil {\n 96→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n 97→\t\t\tcontinue\n 98→\t\t}\n 99→\t\tif err := dst.ImportJob(meta, &data); err != nil {\n 100→\t\t\tcclog.Warnf(\"Retention: import job %d: %v\", job.JobID, err)\n 101→\t\t\tcontinue\n 102→\t\t}\n 103→\t}\n 104→\treturn nil\n 105→}\n 106→\n 107→// transferJobsParquet converts jobs to Parquet format, organized by cluster.\n 108→func transferJobsParquet(jobs []*schema.Job, src archive.ArchiveBackend, target pqarchive.ParquetTarget, maxSizeMB int) error {\n 109→\tcw := pqarchive.NewClusterAwareParquetWriter(target, maxSizeMB)\n 110→\n 111→\t// Set cluster configs for all clusters referenced by jobs\n 112→\tclustersDone := make(map[string]bool)\n 113→\tfor _, job := range jobs {\n 114→\t\tif clustersDone[job.Cluster] {\n 115→\t\t\tcontinue\n 116→\t\t}\n 117→\t\tclusterCfg, err := src.LoadClusterCfg(job.Cluster)\n 118→\t\tif err != nil {\n 119→\t\t\tcclog.Warnf(\"Retention: load cluster config %q: %v\", job.Cluster, err)\n 120→\t\t} else {\n 121→\t\t\tcw.SetClusterConfig(job.Cluster, clusterCfg)\n 122→\t\t}\n 123→\t\tclustersDone[job.Cluster] = true\n 124→\t}\n 125→\n 126→\tfor _, job := range jobs {\n 127→\t\tmeta, err := src.LoadJobMeta(job)\n 128→\t\tif err != nil {\n 129→\t\t\tcclog.Warnf(\"Retention: load meta for job %d: %v\", job.JobID, err)\n 130→\t\t\tcontinue\n 131→\t\t}\n 132→\t\tdata, err := src.LoadJobData(job)\n 133→\t\tif err != nil {\n 134→\t\t\tcclog.Warnf(\"Retention: load data for job %d: %v\", job.JobID, err)\n 135→\t\t\tcontinue\n 136→\t\t}\n 137→\t\trow, err := pqarchive.JobToParquetRow(meta, &data)\n 138→\t\tif err != nil {\n 139→\t\t\tcclog.Warnf(\"Retention: convert job %d: %v\", job.JobID, err)\n 140→\t\t\tcontinue\n 141→\t\t}\n 142→\t\tif err := cw.AddJob(*row); err != nil {\n 143→\t\t\tcclog.Errorf(\"Retention: add job %d to writer: %v\", job.JobID, err)\n 144→\t\t\tcontinue\n 145→\t\t}\n 146→\t}\n 147→\n 148→\treturn cw.Close()\n 149→}\n 150→\n 151→// cleanupAfterTransfer removes jobs from archive and optionally from DB.\n 152→func cleanupAfterTransfer(jobs []*schema.Job, startTime int64, includeDB bool, omitTagged string) {\n 153→\tarchive.GetHandle().CleanUp(jobs)\n 154→\n 155→\tif includeDB {\n 156→\t\tcnt, err := jobRepo.DeleteJobsBefore(startTime, omitTagged)\n 157→\t\tif err != nil {\n 158→\t\t\tcclog.Errorf(\"Retention: delete jobs from db: %v\", err)\n 159→\t\t} else {\n 160→\t\t\tcclog.Infof(\"Retention: removed %d jobs from db\", cnt)\n 161→\t\t}\n 162→\t\tif err = jobRepo.Optimize(); err != nil {\n 163→\t\t\tcclog.Errorf(\"Retention: db optimization error: %v\", err)\n 164→\t\t}\n 165→\t}\n 166→}\n 167→\n 168→// readCopyMarker reads the last-processed timestamp from a copy marker file.\n 169→func readCopyMarker(cfg Retention) int64 {\n 170→\tvar data []byte\n 171→\tvar err error\n 172→\n 173→\tswitch cfg.TargetKind {\n 174→\tcase \"s3\":\n 175→\t\t// For S3 we store the marker locally alongside the config\n 176→\t\tdata, err = os.ReadFile(copyMarkerPath(cfg))\n 177→\tdefault:\n 178→\t\tdata, err = os.ReadFile(filepath.Join(cfg.TargetPath, \".copy-marker\"))\n 179→\t}\n 180→\tif err != nil {\n 181→\t\treturn 0\n 182→\t}\n 183→\tts, err := strconv.ParseInt(strings.TrimSpace(string(data)), 10, 64)\n 184→\tif err != nil {\n 185→\t\treturn 0\n 186→\t}\n 187→\treturn ts\n 188→}\n 189→\n 190→// writeCopyMarker writes the last-processed timestamp to a copy marker file.\n 191→func writeCopyMarker(cfg Retention, ts int64) {\n 192→\tcontent := []byte(strconv.FormatInt(ts, 10))\n 193→\tvar err error\n 194→\n 195→\tswitch cfg.TargetKind {\n 196→\tcase \"s3\":\n 197→\t\terr = os.WriteFile(copyMarkerPath(cfg), content, 0o640)\n 198→\tdefault:\n 199→\t\terr = os.WriteFile(filepath.Join(cfg.TargetPath, \".copy-marker\"), content, 0o640)\n 200→\t}\n 201→\tif err != nil {\n 202→\t\tcclog.Warnf(\"Retention: write copy marker: %v\", err)\n 203→\t}\n 204→}\n 205→\n 206→func copyMarkerPath(cfg Retention) string {\n 207→\t// For S3 targets, store the marker in a local temp-style path derived from the bucket name\n 208→\treturn filepath.Join(os.TempDir(), fmt.Sprintf(\"cc-copy-marker-%s\", cfg.TargetBucket))\n 209→}\n 210→\n 211→func RegisterRetentionDeleteService(cfg Retention) {\n 212→\tcclog.Info(\"Register retention delete service\")\n 213→\n 214→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(3, 0, 0))),\n 215→\t\tgocron.NewTask(\n 216→\t\t\tfunc() {\n 217→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n 218→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n 219→\t\t\t\tif err != nil {\n 220→\t\t\t\t\tcclog.Warnf(\"Retention delete: error finding jobs: %v\", err)\n 221→\t\t\t\t\treturn\n 222→\t\t\t\t}\n 223→\t\t\t\tif len(jobs) == 0 {\n 224→\t\t\t\t\treturn\n 225→\t\t\t\t}\n 226→\n 227→\t\t\t\tcclog.Infof(\"Retention delete: processing %d jobs\", len(jobs))\n 228→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n 229→\t\t\t}))\n 230→}\n 231→\n 232→func RegisterRetentionCopyService(cfg Retention) {\n 233→\tcclog.Infof(\"Register retention copy service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n 234→\n 235→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 236→\tif maxFileSizeMB <= 0 {\n 237→\t\tmaxFileSizeMB = 512\n 238→\t}\n 239→\n 240→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(4, 0, 0))),\n 241→\t\tgocron.NewTask(\n 242→\t\t\tfunc() {\n 243→\t\t\t\tcutoff := time.Now().Unix() - int64(cfg.Age*24*3600)\n 244→\t\t\t\tlastProcessed := readCopyMarker(cfg)\n 245→\n 246→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(lastProcessed, cutoff, cfg.OmitTagged)\n 247→\t\t\t\tif err != nil {\n 248→\t\t\t\t\tcclog.Warnf(\"Retention copy: error finding jobs: %v\", err)\n 249→\t\t\t\t\treturn\n 250→\t\t\t\t}\n 251→\t\t\t\tif len(jobs) == 0 {\n 252→\t\t\t\t\treturn\n 253→\t\t\t\t}\n 254→\n 255→\t\t\t\tcclog.Infof(\"Retention copy: processing %d jobs\", len(jobs))\n 256→\t\t\t\tar := archive.GetHandle()\n 257→\n 258→\t\t\t\tswitch cfg.Format {\n 259→\t\t\t\tcase \"parquet\":\n 260→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n 261→\t\t\t\t\tif err != nil {\n 262→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create parquet target: %v\", err)\n 263→\t\t\t\t\t\treturn\n 264→\t\t\t\t\t}\n 265→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n 266→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: parquet transfer: %v\", err)\n 267→\t\t\t\t\t\treturn\n 268→\t\t\t\t\t}\n 269→\t\t\t\tdefault: // json\n 270→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n 271→\t\t\t\t\tif err != nil {\n 272→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: create target backend: %v\", err)\n 273→\t\t\t\t\t\treturn\n 274→\t\t\t\t\t}\n 275→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n 276→\t\t\t\t\t\tcclog.Errorf(\"Retention copy: json transfer: %v\", err)\n 277→\t\t\t\t\t\treturn\n 278→\t\t\t\t\t}\n 279→\t\t\t\t}\n 280→\n 281→\t\t\t\twriteCopyMarker(cfg, cutoff)\n 282→\t\t\t}))\n 283→}\n 284→\n 285→func RegisterRetentionMoveService(cfg Retention) {\n 286→\tcclog.Infof(\"Register retention move service (format=%s, target=%s)\", cfg.Format, cfg.TargetKind)\n 287→\n 288→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 289→\tif maxFileSizeMB <= 0 {\n 290→\t\tmaxFileSizeMB = 512\n 291→\t}\n 292→\n 293→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n 294→\t\tgocron.NewTask(\n 295→\t\t\tfunc() {\n 296→\t\t\t\tstartTime := time.Now().Unix() - int64(cfg.Age*24*3600)\n 297→\t\t\t\tjobs, err := jobRepo.FindJobsBetween(0, startTime, cfg.OmitTagged)\n 298→\t\t\t\tif err != nil {\n 299→\t\t\t\t\tcclog.Warnf(\"Retention move: error finding jobs: %v\", err)\n 300→\t\t\t\t\treturn\n 301→\t\t\t\t}\n 302→\t\t\t\tif len(jobs) == 0 {\n 303→\t\t\t\t\treturn\n 304→\t\t\t\t}\n 305→\n 306→\t\t\t\tcclog.Infof(\"Retention move: processing %d jobs\", len(jobs))\n 307→\t\t\t\tar := archive.GetHandle()\n 308→\n 309→\t\t\t\tswitch cfg.Format {\n 310→\t\t\t\tcase \"parquet\":\n 311→\t\t\t\t\ttarget, err := createParquetTarget(cfg)\n 312→\t\t\t\t\tif err != nil {\n 313→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create parquet target: %v\", err)\n 314→\t\t\t\t\t\treturn\n 315→\t\t\t\t\t}\n 316→\t\t\t\t\tif err := transferJobsParquet(jobs, ar, target, maxFileSizeMB); err != nil {\n 317→\t\t\t\t\t\tcclog.Errorf(\"Retention move: parquet transfer: %v\", err)\n 318→\t\t\t\t\t\treturn\n 319→\t\t\t\t\t}\n 320→\t\t\t\tdefault: // json\n 321→\t\t\t\t\tdst, err := createTargetBackend(cfg)\n 322→\t\t\t\t\tif err != nil {\n 323→\t\t\t\t\t\tcclog.Errorf(\"Retention move: create target backend: %v\", err)\n 324→\t\t\t\t\t\treturn\n 325→\t\t\t\t\t}\n 326→\t\t\t\t\tif err := transferJobsJSON(jobs, ar, dst); err != nil {\n 327→\t\t\t\t\t\tcclog.Errorf(\"Retention move: json transfer: %v\", err)\n 328→\t\t\t\t\t\treturn\n 329→\t\t\t\t\t}\n 330→\t\t\t\t}\n 331→\n 332→\t\t\t\tcleanupAfterTransfer(jobs, startTime, cfg.IncludeDB, cfg.OmitTagged)\n 333→\t\t\t}))\n 334→}\n 335→"}]},"uuid":"4ce7a245-5605-466c-805e-7afe98a3455e","timestamp":"2026-03-16T10:18:55.266Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"55872396-17aa-4333-950b-7dac1e007190","timestamp":"2026-03-16T10:18:55.267Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"55872396-17aa-4333-950b-7dac1e007190","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:55.291Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A3P6gr75foAWUNkAzA7oVj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1590,"cache_read_input_tokens":17374,"cache_creation":{"ephemeral_5m_input_tokens":1590,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7AcQ15FykJX5wRoAU","uuid":"e50dbc96-7cab-449e-b70e-ed6326e765ca"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","timestamp":"2026-03-16T10:18:55.291Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"cc02a4e2-04b8-472c-a560-3896dafebd9f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoMSQBVzkgXnMoE3wdHsWF","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue\n 151→\t\t\t}\n 152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n 153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n 154→\t\t\t\tarchivePending.Done()\n 155→\t\t\t\tcontinue\n 156→\t\t\t}\n 157→\t\t\t// Update the jobs database entry one last time:\n 158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n 159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n 160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n 161→\t\t\t\tarchivePending.Done()\n 162→\t\t\t\tcontinue\n 163→\t\t\t}\n 164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n 165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n 166→\n 167→\t\t\trepository.CallJobStopHooks(job)\n 168→\t\t\tarchivePending.Done()\n 169→\t\t}\n 170→\t}\n 171→}\n 172→\n 173→// TriggerArchiving queues a job for asynchronous archiving.\n 174→//\n 175→// This function should be called when a job completes (stops) to archive its\n 176→// metric data from the metric store to the configured archive backend.\n 177→//\n 178→// The function:\n 179→// 1. Increments the pending job counter (WaitGroup)\n 180→// 2. Sends the job to the archiving channel (buffered, capacity 128)\n 181→// 3. Returns immediately (non-blocking unless channel is full)\n 182→//\n 183→// The actual archiving is performed asynchronously by the worker goroutine.\n 184→// Upon completion, the worker will decrement the pending counter.\n 185→//\n 186→// Panics if Start() has not been called first.\n 187→func TriggerArchiving(job *schema.Job) {\n 188→\tif archiveChannel == nil {\n 189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n 190→\t}\n 191→\n 192→\tarchivePending.Add(1)\n 193→\tarchiveChannel <- job\n 194→}\n 195→\n 196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n 197→//\n 198→// The shutdown process:\n 199→// 1. Closes archiveChannel - no new jobs will be accepted\n 200→// 2. Waits for pending jobs to complete (up to timeout duration)\n 201→// 3. If timeout is exceeded:\n 202→// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n 203→// - Returns error indicating timeout\n 204→// 4. Waits for worker goroutine to exit cleanly\n 205→//\n 206→// Parameters:\n 207→// - timeout: Maximum duration to wait for pending jobs to complete\n 208→// (recommended: 10-30 seconds for production)\n 209→//\n 210→// Returns:\n 211→// - nil if all jobs completed within timeout\n 212→// - error if timeout was exceeded (some jobs may not have been archived)\n 213→//\n 214→// Jobs that don't complete within the timeout will be marked as failed.\n 215→// The function always ensures the worker goroutine exits before returning.\n 216→//\n 217→// Example:\n 218→//\n 219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 220→//\t log.Printf(\"Some jobs did not complete: %v\", err)\n 221→//\t}\n 222→func Shutdown(timeout time.Duration) error {\n 223→\tcclog.Info(\"Initiating archiver shutdown...\")\n 224→\n 225→\t// Close channel to signal no more jobs will be accepted\n 226→\tclose(archiveChannel)\n 227→\n 228→\t// Create a channel to signal when all jobs are done\n 229→\tdone := make(chan struct{})\n 230→\tgo func() {\n 231→\t\tarchivePending.Wait()\n 232→\t\tclose(done)\n 233→\t}()\n 234→\n 235→\t// Wait for jobs to complete or timeout\n 236→\tselect {\n 237→\tcase <-done:\n 238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n 239→\t\t// Wait for worker to exit\n 240→\t\t<-workerDone\n 241→\t\treturn nil\n 242→\tcase <-time.After(timeout):\n 243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n 244→\t\t// Cancel any ongoing operations\n 245→\t\tshutdownCancel()\n 246→\t\t// Wait for worker to exit\n 247→\t\t<-workerDone\n 248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n 249→\t}\n 250→}\n 251→"}]},"uuid":"405ee9d5-6fd9-4bdf-bc8f-17596319c6ae","timestamp":"2026-03-16T10:18:55.304Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","timestamp":"2026-03-16T10:18:55.305Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b8c361a6-e42e-4f96-890f-e5833e6b9a23","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JCpxD2KwaECyWX3YUBodAj","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"089401ce-0cb2-4e92-9555-abb914967adc","timestamp":"2026-03-16T10:18:55.322Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","timestamp":"2026-03-16T10:18:55.323Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f9e51b3f-c195-4177-ba1e-58db969e5f67","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:55.468Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ex2gkgfgbpx5C4a571YE6W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/compressionService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":4310,"cache_read_input_tokens":28414,"cache_creation":{"ephemeral_5m_input_tokens":4310,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7DKruRbtuqWpQiDsg","uuid":"eb8fbc93-e6ed-43c2-a407-a9bf7af388b4"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","timestamp":"2026-03-16T10:18:55.469Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fd320a15-6ab3-4edb-aff6-f0c9b486e533","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MQZmsnjqdmpxaaVKffBkSj","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\t\"github.com/go-co-op/gocron/v2\"\n 15→)\n 16→\n 17→func RegisterCompressionService(compressOlderThan int) {\n 18→\tcclog.Info(\"Register compression service\")\n 19→\n 20→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(5, 0, 0))),\n 21→\t\tgocron.NewTask(\n 22→\t\t\tfunc() {\n 23→\t\t\t\tvar jobs []*schema.Job\n 24→\t\t\t\tvar err error\n 25→\n 26→\t\t\t\tar := archive.GetHandle()\n 27→\t\t\t\tstartTime := time.Now().Unix() - int64(compressOlderThan*24*3600)\n 28→\t\t\t\tlastTime := ar.CompressLast(startTime)\n 29→\t\t\t\tif startTime == lastTime {\n 30→\t\t\t\t\tcclog.Info(\"Compression Service - Complete archive run\")\n 31→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(0, startTime, \"none\")\n 32→\n 33→\t\t\t\t} else {\n 34→\t\t\t\t\tjobs, err = jobRepo.FindJobsBetween(lastTime, startTime, \"none\")\n 35→\t\t\t\t}\n 36→\n 37→\t\t\t\tif err != nil {\n 38→\t\t\t\t\tcclog.Warnf(\"Error while looking for compression jobs: %v\", err)\n 39→\t\t\t\t}\n 40→\t\t\t\tar.Compress(jobs)\n 41→\t\t\t}))\n 42→}\n 43→"}]},"uuid":"e8f53165-482b-4703-b747-9a21f952a933","timestamp":"2026-03-16T10:18:55.473Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","timestamp":"2026-03-16T10:18:55.856Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"259bf582-dfdb-4a76-8d93-f5f999fa200a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:55.869Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ex2gkgfgbpx5C4a571YE6W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/ldapSyncService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":4310,"cache_read_input_tokens":28414,"cache_creation":{"ephemeral_5m_input_tokens":4310,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7DKruRbtuqWpQiDsg","uuid":"839a7d19-540d-4ecc-8646-f72841ed916f"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3cffaa12-8024-4952-893e-b91413d32eab","timestamp":"2026-03-16T10:18:55.870Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3cffaa12-8024-4952-893e-b91413d32eab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013M6BNThre3DTv4Hwsj2Tcm","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/go-co-op/gocron/v2\"\n 14→)\n 15→\n 16→func RegisterLdapSyncService(ds string) {\n 17→\tinterval, err := parseDuration(ds)\n 18→\tif err != nil {\n 19→\t\tcclog.Warnf(\"Could not parse duration for sync interval: %v\",\n 20→\t\t\tds)\n 21→\t\treturn\n 22→\t}\n 23→\n 24→\tauth := auth.GetAuthInstance()\n 25→\n 26→\tcclog.Infof(\"register ldap sync service with %s interval\", ds)\n 27→\n 28→\ts.NewJob(gocron.DurationJob(interval),\n 29→\t\tgocron.NewTask(\n 30→\t\t\tfunc() {\n 31→\t\t\t\tt := time.Now()\n 32→\t\t\t\tcclog.Infof(\"ldap sync started at %s\", t.Format(time.RFC3339))\n 33→\t\t\t\tif err := auth.LdapAuth.Sync(); err != nil {\n 34→\t\t\t\t\tcclog.Errorf(\"ldap sync failed: %s\", err.Error())\n 35→\t\t\t\t}\n 36→\t\t\t}))\n 37→}\n 38→"}]},"uuid":"1c60d702-e4b8-4cc4-ace0-ddc6515334ec","timestamp":"2026-03-16T10:18:55.874Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","timestamp":"2026-03-16T10:18:55.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2e01ca70-cb4a-4b2d-912e-798a03edb39b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.078Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ex2gkgfgbpx5C4a571YE6W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018XBW6RLSbwQd7oRNJo45a6","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/nodestateRetentionService.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":4310,"cache_read_input_tokens":28414,"cache_creation":{"ephemeral_5m_input_tokens":4310,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7DKruRbtuqWpQiDsg","uuid":"690aa59b-c151-44da-9e73-996dc5681f14"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"59f93677-f986-4c75-b29e-521a1699c568","timestamp":"2026-03-16T10:18:56.078Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"59f93677-f986-4c75-b29e-521a1699c568","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018XBW6RLSbwQd7oRNJo45a6","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 13→\tpqarchive \"github.com/ClusterCockpit/cc-backend/pkg/archive/parquet\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/go-co-op/gocron/v2\"\n 16→)\n 17→\n 18→func RegisterNodeStateRetentionDeleteService(ageHours int) {\n 19→\tcclog.Info(\"Register node state retention delete service\")\n 20→\n 21→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 0, 0))),\n 22→\t\tgocron.NewTask(\n 23→\t\t\tfunc() {\n 24→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n 25→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n 26→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n 27→\t\t\t\tif err != nil {\n 28→\t\t\t\t\tcclog.Errorf(\"NodeState retention: error deleting old rows: %v\", err)\n 29→\t\t\t\t} else if cnt > 0 {\n 30→\t\t\t\t\tcclog.Infof(\"NodeState retention: deleted %d old rows\", cnt)\n 31→\t\t\t\t}\n 32→\t\t\t}))\n 33→}\n 34→\n 35→func RegisterNodeStateRetentionMoveService(cfg *config.NodeStateRetention) {\n 36→\tcclog.Info(\"Register node state retention move service\")\n 37→\n 38→\tmaxFileSizeMB := cfg.MaxFileSizeMB\n 39→\tif maxFileSizeMB <= 0 {\n 40→\t\tmaxFileSizeMB = 128\n 41→\t}\n 42→\n 43→\tageHours := cfg.Age\n 44→\tif ageHours <= 0 {\n 45→\t\tageHours = 24\n 46→\t}\n 47→\n 48→\tvar target pqarchive.ParquetTarget\n 49→\tvar err error\n 50→\n 51→\tswitch cfg.TargetKind {\n 52→\tcase \"s3\":\n 53→\t\ttarget, err = pqarchive.NewS3Target(pqarchive.S3TargetConfig{\n 54→\t\t\tEndpoint: cfg.TargetEndpoint,\n 55→\t\t\tBucket: cfg.TargetBucket,\n 56→\t\t\tAccessKey: cfg.TargetAccessKey,\n 57→\t\t\tSecretKey: cfg.TargetSecretKey,\n 58→\t\t\tRegion: cfg.TargetRegion,\n 59→\t\t\tUsePathStyle: cfg.TargetUsePathStyle,\n 60→\t\t})\n 61→\tdefault:\n 62→\t\ttarget, err = pqarchive.NewFileTarget(cfg.TargetPath)\n 63→\t}\n 64→\n 65→\tif err != nil {\n 66→\t\tcclog.Errorf(\"NodeState move retention: failed to create target: %v\", err)\n 67→\t\treturn\n 68→\t}\n 69→\n 70→\ts.NewJob(gocron.DailyJob(1, gocron.NewAtTimes(gocron.NewAtTime(2, 30, 0))),\n 71→\t\tgocron.NewTask(\n 72→\t\t\tfunc() {\n 73→\t\t\t\tcutoff := time.Now().Unix() - int64(ageHours*3600)\n 74→\t\t\t\tnodeRepo := repository.GetNodeRepository()\n 75→\n 76→\t\t\t\trows, err := nodeRepo.FindNodeStatesBefore(cutoff)\n 77→\t\t\t\tif err != nil {\n 78→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error finding rows: %v\", err)\n 79→\t\t\t\t\treturn\n 80→\t\t\t\t}\n 81→\t\t\t\tif len(rows) == 0 {\n 82→\t\t\t\t\treturn\n 83→\t\t\t\t}\n 84→\n 85→\t\t\t\tcclog.Infof(\"NodeState move retention: archiving %d rows\", len(rows))\n 86→\t\t\t\tpw := pqarchive.NewNodeStateParquetWriter(target, maxFileSizeMB)\n 87→\n 88→\t\t\t\tfor _, ns := range rows {\n 89→\t\t\t\t\trow := pqarchive.ParquetNodeStateRow{\n 90→\t\t\t\t\t\tTimeStamp: ns.TimeStamp,\n 91→\t\t\t\t\t\tNodeState: ns.NodeState,\n 92→\t\t\t\t\t\tHealthState: ns.HealthState,\n 93→\t\t\t\t\t\tHealthMetrics: ns.HealthMetrics,\n 94→\t\t\t\t\t\tCpusAllocated: int32(ns.CpusAllocated),\n 95→\t\t\t\t\t\tMemoryAllocated: ns.MemoryAllocated,\n 96→\t\t\t\t\t\tGpusAllocated: int32(ns.GpusAllocated),\n 97→\t\t\t\t\t\tJobsRunning: int32(ns.JobsRunning),\n 98→\t\t\t\t\t\tHostname: ns.Hostname,\n 99→\t\t\t\t\t\tCluster: ns.Cluster,\n 100→\t\t\t\t\t\tSubCluster: ns.SubCluster,\n 101→\t\t\t\t\t}\n 102→\t\t\t\t\tif err := pw.AddRow(row); err != nil {\n 103→\t\t\t\t\t\tcclog.Errorf(\"NodeState move retention: add row: %v\", err)\n 104→\t\t\t\t\t\tcontinue\n 105→\t\t\t\t\t}\n 106→\t\t\t\t}\n 107→\n 108→\t\t\t\tif err := pw.Close(); err != nil {\n 109→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: close writer: %v\", err)\n 110→\t\t\t\t\treturn\n 111→\t\t\t\t}\n 112→\n 113→\t\t\t\tcnt, err := nodeRepo.DeleteNodeStatesBefore(cutoff)\n 114→\t\t\t\tif err != nil {\n 115→\t\t\t\t\tcclog.Errorf(\"NodeState move retention: error deleting rows: %v\", err)\n 116→\t\t\t\t} else {\n 117→\t\t\t\t\tcclog.Infof(\"NodeState move retention: deleted %d rows from db\", cnt)\n 118→\t\t\t\t}\n 119→\t\t\t}))\n 120→}\n 121→"}]},"uuid":"f9762894-9465-4606-966b-0a21d330a11f","timestamp":"2026-03-16T10:18:56.082Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","timestamp":"2026-03-16T10:18:56.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e1e25d1e-c7dc-441b-9712-fbf86018043c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:56.784Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"194e08c0-ad26-4440-9b3e-74cae396fccc"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"ae566622-dd01-4566-aeba-40ddd690b103","timestamp":"2026-03-16T10:18:56.785Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ae566622-dd01-4566-aeba-40ddd690b103","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKJE6CV2D4pFHnZayvhwdS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue"}]},"uuid":"6d86fae3-2604-4302-a1b1-5ca9072c68a7","timestamp":"2026-03-16T10:18:56.805Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","timestamp":"2026-03-16T10:18:56.999Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5cc95228-d2e3-4346-b5d6-c0bccc966e9a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.060Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BCix2A6sVowtVAWUTzyezG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d6a67665-3003-4c6d-bf9d-60368843aaba"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","timestamp":"2026-03-16T10:18:57.060Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d45047d6-95bc-473b-9ab4-4da9b5bb4c00","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BCix2A6sVowtVAWUTzyezG","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package importer\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 20→)\n 21→\n 22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n 23→//\n 24→// The flag format is: \":[,:,...]\"\n 25→//\n 26→// For each job pair, this function:\n 27→// 1. Reads and validates the metadata JSON file (schema.Job)\n 28→// 2. Reads and validates the job data JSON file (schema.JobData)\n 29→// 3. Enriches the job with calculated footprints and energy metrics\n 30→// 4. Validates the job using SanityChecks()\n 31→// 5. Imports the job into the archive\n 32→// 6. Inserts the job into the database with associated tags\n 33→//\n 34→// Schema validation is performed if config.Keys.Validate is true.\n 35→//\n 36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n 37→// The function stops processing on the first error encountered.\n 38→func HandleImportFlag(flag string) error {\n 39→\tr := repository.GetJobRepository()\n 40→\n 41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n 42→\t\tfiles := strings.Split(pair, \":\")\n 43→\t\tif len(files) != 2 {\n 44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n 45→\t\t}\n 46→\n 47→\t\traw, err := os.ReadFile(files[0])\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n 50→\t\t\treturn err\n 51→\t\t}\n 52→\n 53→\t\tif config.Keys.Validate {\n 54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n 55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n 56→\t\t\t}\n 57→\t\t}\n 58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n 59→\t\tdec.DisallowUnknownFields()\n 60→\t\tjob := schema.Job{\n 61→\t\t\tShared: \"none\",\n 62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 63→\t\t}\n 64→\t\tif err = dec.Decode(&job); err != nil {\n 65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n 66→\t\t\treturn err\n 67→\t\t}\n 68→\n 69→\t\traw, err = os.ReadFile(files[1])\n 70→\t\tif err != nil {\n 71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n 72→\t\t\treturn err\n 73→\t\t}\n 74→\n 75→\t\tif config.Keys.Validate {\n 76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n 77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n 78→\t\t\t}\n 79→\t\t}\n 80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n 81→\t\tdec.DisallowUnknownFields()\n 82→\t\tjobData := schema.JobData{}\n 83→\t\tif err = dec.Decode(&jobData); err != nil {\n 84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n 85→\t\t\treturn err\n 86→\t\t}\n 87→\n 88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 89→\n 90→\t\tif err = enrichJobMetadata(&job); err != nil {\n 91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n 92→\t\t\treturn err\n 93→\t\t}\n 94→\n 95→\t\tif err = SanityChecks(&job); err != nil {\n 96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n 101→\t\t\tcclog.Error(\"Error while importing job\")\n 102→\t\t\treturn err\n 103→\t\t}\n 104→\n 105→\t\tid, err := r.InsertJobDirect(&job)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Warn(\"Error while job db insert\")\n 108→\t\t\treturn err\n 109→\t\t}\n 110→\n 111→\t\tfor _, tag := range job.Tags {\n 112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n 113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n 114→\t\t\t\treturn err\n 115→\t\t\t}\n 116→\t\t}\n 117→\n 118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n 119→\t}\n 120→\treturn nil\n 121→}\n 122→"}]},"uuid":"ca22fa68-3ed2-48a6-821f-5cc1b1f22757","timestamp":"2026-03-16T10:18:57.071Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","timestamp":"2026-03-16T10:18:57.073Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"31d0c38a-bfcb-4bc0-bfda-d6872b326b0e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.080Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FPFctn7YD2bboFg9SPrNnU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiver.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"558e9215-f4cd-48cd-9bbd-41a1b069f026"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","timestamp":"2026-03-16T10:18:57.080Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1f7e6571-ade8-4ef3-b024-9b6093bffec6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FPFctn7YD2bboFg9SPrNnU","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package archiver\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"math\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 13→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 14→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 16→)\n 17→\n 18→// ArchiveJob archives a completed job's metric data to the configured archive backend.\n 19→//\n 20→// This function performs the following operations:\n 21→// 1. Loads all metric data for the job from the metric data repository\n 22→// 2. Calculates job-level statistics (avg, min, max) for each metric\n 23→// 3. Stores the job metadata and metric data to the archive backend\n 24→//\n 25→// Metric data is retrieved at the highest available resolution (typically 60s)\n 26→// for the following scopes:\n 27→// - Node scope (always)\n 28→// - Core scope (for jobs with ≤8 nodes, to reduce data volume)\n 29→// - Accelerator scope (if job used accelerators)\n 30→//\n 31→// The function respects context cancellation. If ctx is cancelled (e.g., during\n 32→// shutdown timeout), the operation will be interrupted and return an error.\n 33→//\n 34→// Parameters:\n 35→// - job: The job to archive (must be a completed job)\n 36→// - ctx: Context for cancellation and timeout control\n 37→//\n 38→// Returns:\n 39→// - *schema.Job with populated Statistics field\n 40→// - error if data loading or archiving fails\n 41→//\n 42→// If config.Keys.DisableArchive is true, only job statistics are calculated\n 43→// and returned (no data is written to archive backend).\n 44→func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.Job, error) {\n 45→\tallMetrics := make([]string, 0)\n 46→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 47→\tfor _, mc := range metricConfigs {\n 48→\t\tallMetrics = append(allMetrics, mc.Name)\n 49→\t}\n 50→\n 51→\tscopes := []schema.MetricScope{schema.MetricScopeNode}\n 52→\t// FIXME: Add a config option for this\n 53→\tif job.NumNodes <= 8 {\n 54→\t\t// This will add the native scope if core scope is not available\n 55→\t\tscopes = append(scopes, schema.MetricScopeCore)\n 56→\t}\n 57→\n 58→\tif job.NumAcc > 0 {\n 59→\t\tscopes = append(scopes, schema.MetricScopeAccelerator)\n 60→\t}\n 61→\n 62→\tjobData, err := metricdispatch.LoadData(job, allMetrics, scopes, ctx, 0) // 0 Resulotion-Value retrieves highest res (60s)\n 63→\tif err != nil {\n 64→\t\tcclog.Error(\"Error wile loading job data for archiving\")\n 65→\t\treturn nil, err\n 66→\t}\n 67→\n 68→\tjob.Statistics = make(map[string]schema.JobStatistics)\n 69→\n 70→\tfor metric, data := range jobData {\n 71→\t\tavg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n 72→\t\tnodeData, ok := data[\"node\"]\n 73→\t\tif !ok {\n 74→\t\t\t// This should never happen ?\n 75→\t\t\tcontinue\n 76→\t\t}\n 77→\n 78→\t\tfor _, series := range nodeData.Series {\n 79→\t\t\tavg += series.Statistics.Avg\n 80→\t\t\tmin = math.Min(min, series.Statistics.Min)\n 81→\t\t\tmax = math.Max(max, series.Statistics.Max)\n 82→\t\t}\n 83→\n 84→\t\t// Round AVG Result to 2 Digits\n 85→\t\tjob.Statistics[metric] = schema.JobStatistics{\n 86→\t\t\tUnit: schema.Unit{\n 87→\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n 88→\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n 89→\t\t\t},\n 90→\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n 91→\t\t\tMin: min,\n 92→\t\t\tMax: max,\n 93→\t\t}\n 94→\t}\n 95→\n 96→\treturn job, archive.GetHandle().ImportJob(job, &jobData)\n 97→}\n 98→"}]},"uuid":"0f97dce8-97fa-47db-8e68-42c8ecf0394e","timestamp":"2026-03-16T10:18:57.083Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","timestamp":"2026-03-16T10:18:57.083Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"6859b3f5-7744-4937-a42d-9a53bf815a8d","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:57.329Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SuYm9ETJD4ree6rxCAbJrq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011rJJPwd34bsw3YNZxcu7rN","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":13120,"cache_read_input_tokens":75153,"cache_creation":{"ephemeral_5m_input_tokens":13120,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b78f4sCfEkDxNjQumS","uuid":"d77736fa-a88d-4307-95f5-09fbe08a2e5b"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","timestamp":"2026-03-16T10:18:57.330Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c56a655c-046a-48f4-8d7b-8994f6d6d536","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011rJJPwd34bsw3YNZxcu7rN","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package importer provides functionality for importing job data into the ClusterCockpit database.\n 7→//\n 8→// The package supports two primary use cases:\n 9→// 1. Bulk database initialization from archived jobs via InitDB()\n 10→// 2. Individual job import from file pairs via HandleImportFlag()\n 11→//\n 12→// Both operations enrich job metadata by calculating footprints and energy metrics\n 13→// before persisting to the database.\n 14→package importer\n 15→\n 16→import (\n 17→\t\"encoding/json\"\n 18→\t\"fmt\"\n 19→\t\"math\"\n 20→\t\"strings\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 27→)\n 28→\n 29→const (\n 30→\taddTagQuery = \"INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)\"\n 31→\tsetTagQuery = \"INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)\"\n 32→)\n 33→\n 34→// InitDB reinitializes the job database from archived job data.\n 35→//\n 36→// This function performs the following operations:\n 37→// 1. Flushes existing job, tag, and jobtag tables\n 38→// 2. Iterates through all jobs in the archive\n 39→// 3. Enriches each job with calculated footprints and energy metrics\n 40→// 4. Inserts jobs and tags into the database in batched transactions\n 41→//\n 42→// Jobs are processed in batches of 100 for optimal performance. The function\n 43→// continues processing even if individual jobs fail, logging errors and\n 44→// returning a summary at the end.\n 45→//\n 46→// Returns an error if database initialization, transaction management, or\n 47→// critical operations fail. Individual job failures are logged but do not\n 48→// stop the overall import process.\n 49→func InitDB() error {\n 50→\tr := repository.GetJobRepository()\n 51→\tif err := r.Flush(); err != nil {\n 52→\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n 53→\t\treturn err\n 54→\t}\n 55→\tstarttime := time.Now()\n 56→\tcclog.Print(\"Building job table...\")\n 57→\n 58→\tt, err := r.TransactionInit()\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while initializing SQL transactions\")\n 61→\t\treturn err\n 62→\t}\n 63→\ttags := make(map[string]int64)\n 64→\n 65→\t// Not using cclog.Print because we want the line to end with `\\r` and\n 66→\t// this function is only ever called when a special command line flag\n 67→\t// is passed anyways.\n 68→\tfmt.Printf(\"%d jobs inserted...\\r\", 0)\n 69→\n 70→\tar := archive.GetHandle()\n 71→\ti := 0\n 72→\terrorOccured := 0\n 73→\n 74→\tfor jobContainer := range ar.Iter(false) {\n 75→\n 76→\t\tjobMeta := jobContainer.Meta\n 77→\t\tif jobMeta == nil {\n 78→\t\t\tcclog.Warn(\"skipping job with nil metadata\")\n 79→\t\t\terrorOccured++\n 80→\t\t\tcontinue\n 81→\t\t}\n 82→\n 83→\t\t// Bundle 100 inserts into one transaction for better performance\n 84→\t\tif i%100 == 0 {\n 85→\t\t\tif i > 0 {\n 86→\t\t\t\tif err := t.Commit(); err != nil {\n 87→\t\t\t\t\tcclog.Errorf(\"transaction commit error: %v\", err)\n 88→\t\t\t\t\treturn err\n 89→\t\t\t\t}\n 90→\t\t\t\t// Start a new transaction for the next batch\n 91→\t\t\t\tt, err = r.TransactionInit()\n 92→\t\t\t\tif err != nil {\n 93→\t\t\t\t\tcclog.Errorf(\"transaction init error: %v\", err)\n 94→\t\t\t\t\treturn err\n 95→\t\t\t\t}\n 96→\t\t\t}\n 97→\t\t\tfmt.Printf(\"%d jobs inserted...\\r\", i)\n 98→\t\t}\n 99→\n 100→\t\tjobMeta.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 101→\n 102→\t\tif err := enrichJobMetadata(jobMeta); err != nil {\n 103→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n 104→\t\t\terrorOccured++\n 105→\t\t\tcontinue\n 106→\t\t}\n 107→\n 108→\t\tif err := SanityChecks(jobMeta); err != nil {\n 109→\t\t\tcclog.Errorf(\"repository initDB(): %v\", err)\n 110→\t\t\terrorOccured++\n 111→\t\t\tcontinue\n 112→\t\t}\n 113→\n 114→\t\tid, jobErr := r.TransactionAddNamed(t,\n 115→\t\t\trepository.NamedJobInsert, jobMeta)\n 116→\t\tif jobErr != nil {\n 117→\t\t\tcclog.Errorf(\"repository initDB(): %v\", jobErr)\n 118→\t\t\terrorOccured++\n 119→\t\t\tcontinue\n 120→\t\t}\n 121→\n 122→\t\t// Job successfully inserted, increment counter\n 123→\t\ti += 1\n 124→\n 125→\t\tfor _, tag := range jobMeta.Tags {\n 126→\t\t\ttagstr := tag.Name + \":\" + tag.Type\n 127→\t\t\ttagID, ok := tags[tagstr]\n 128→\t\t\tif !ok {\n 129→\t\t\t\tvar err error\n 130→\t\t\t\ttagID, err = r.TransactionAdd(t,\n 131→\t\t\t\t\taddTagQuery,\n 132→\t\t\t\t\ttag.Name, tag.Type)\n 133→\t\t\t\tif err != nil {\n 134→\t\t\t\t\tcclog.Errorf(\"Error adding tag: %v\", err)\n 135→\t\t\t\t\terrorOccured++\n 136→\t\t\t\t\tcontinue\n 137→\t\t\t\t}\n 138→\t\t\t\ttags[tagstr] = tagID\n 139→\t\t\t}\n 140→\n 141→\t\t\tr.TransactionAdd(t,\n 142→\t\t\t\tsetTagQuery,\n 143→\t\t\t\tid, tagID)\n 144→\t\t}\n 145→\t}\n 146→\n 147→\tif errorOccured > 0 {\n 148→\t\tcclog.Warnf(\"Error in import of %d jobs!\", errorOccured)\n 149→\t}\n 150→\n 151→\tr.TransactionEnd(t)\n 152→\tcclog.Infof(\"A total of %d jobs have been registered in %.3f seconds.\", i, time.Since(starttime).Seconds())\n 153→\treturn nil\n 154→}\n 155→\n 156→// enrichJobMetadata calculates and populates job footprints, energy metrics, and serialized fields.\n 157→//\n 158→// This function performs the following enrichment operations:\n 159→// 1. Calculates job footprint metrics based on the subcluster configuration\n 160→// 2. Computes energy footprint and total energy consumption in kWh\n 161→// 3. Marshals footprints, resources, and metadata into JSON for database storage\n 162→//\n 163→// The function expects the job's MonitoringStatus and SubCluster to be already set.\n 164→// Energy calculations convert power metrics (Watts) to energy (kWh) using the formula:\n 165→//\n 166→//\tEnergy (kWh) = (Power (W) * Duration (s) / 3600) / 1000\n 167→//\n 168→// Returns an error if subcluster retrieval, metric indexing, or JSON marshaling fails.\n 169→func enrichJobMetadata(job *schema.Job) error {\n 170→\tsc, err := archive.GetSubCluster(job.Cluster, job.SubCluster)\n 171→\tif err != nil {\n 172→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 173→\t\treturn err\n 174→\t}\n 175→\n 176→\tjob.Footprint = make(map[string]float64)\n 177→\n 178→\tfor _, fp := range sc.Footprint {\n 179→\t\tstatType := \"avg\"\n 180→\n 181→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {\n 182→\t\t\tstatType = sc.MetricConfig[i].Footprint\n 183→\t\t}\n 184→\n 185→\t\tname := fmt.Sprintf(\"%s_%s\", fp, statType)\n 186→\n 187→\t\tjob.Footprint[name] = repository.LoadJobStat(job, fp, statType)\n 188→\t}\n 189→\n 190→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 191→\tif err != nil {\n 192→\t\tcclog.Warn(\"Error while marshaling job footprint\")\n 193→\t\treturn err\n 194→\t}\n 195→\n 196→\tjob.EnergyFootprint = make(map[string]float64)\n 197→\n 198→\t// Total Job Energy Outside Loop\n 199→\ttotalEnergy := 0.0\n 200→\tfor _, fp := range sc.EnergyFootprint 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+{"parentUuid":"aa891431-52a8-45b4-9c57-2437200dddf9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012EPYaVpBxKQ7QQCci4VrHf","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package importer\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 20→)\n 21→\n 22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n 23→//\n 24→// The flag format is: \":[,:,...]\"\n 25→//\n 26→// For each job pair, this function:\n 27→// 1. Reads and validates the metadata JSON file (schema.Job)\n 28→// 2. Reads and validates the job data JSON file (schema.JobData)\n 29→// 3. Enriches the job with calculated footprints and energy metrics\n 30→// 4. Validates the job using SanityChecks()\n 31→// 5. Imports the job into the archive\n 32→// 6. Inserts the job into the database with associated tags\n 33→//\n 34→// Schema validation is performed if config.Keys.Validate is true.\n 35→//\n 36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n 37→// The function stops processing on the first error encountered.\n 38→func HandleImportFlag(flag string) error {\n 39→\tr := repository.GetJobRepository()\n 40→\n 41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n 42→\t\tfiles := strings.Split(pair, \":\")\n 43→\t\tif len(files) != 2 {\n 44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n 45→\t\t}\n 46→\n 47→\t\traw, err := os.ReadFile(files[0])\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n 50→\t\t\treturn err\n 51→\t\t}\n 52→\n 53→\t\tif config.Keys.Validate {\n 54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n 55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n 56→\t\t\t}\n 57→\t\t}\n 58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n 59→\t\tdec.DisallowUnknownFields()\n 60→\t\tjob := schema.Job{\n 61→\t\t\tShared: \"none\",\n 62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 63→\t\t}\n 64→\t\tif err = dec.Decode(&job); err != nil {\n 65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n 66→\t\t\treturn err\n 67→\t\t}\n 68→\n 69→\t\traw, err = os.ReadFile(files[1])\n 70→\t\tif err != nil {\n 71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n 72→\t\t\treturn err\n 73→\t\t}\n 74→\n 75→\t\tif config.Keys.Validate {\n 76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n 77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n 78→\t\t\t}\n 79→\t\t}\n 80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n 81→\t\tdec.DisallowUnknownFields()\n 82→\t\tjobData := schema.JobData{}\n 83→\t\tif err = dec.Decode(&jobData); err != nil {\n 84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n 85→\t\t\treturn err\n 86→\t\t}\n 87→\n 88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 89→\n 90→\t\tif err = enrichJobMetadata(&job); err != nil {\n 91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n 92→\t\t\treturn err\n 93→\t\t}\n 94→\n 95→\t\tif err = SanityChecks(&job); err != nil {\n 96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n 101→\t\t\tcclog.Error(\"Error while importing job\")\n 102→\t\t\treturn err\n 103→\t\t}\n 104→\n 105→\t\tid, err := r.InsertJobDirect(&job)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Warn(\"Error while job db insert\")\n 108→\t\t\treturn err\n 109→\t\t}\n 110→\n 111→\t\tfor _, tag := range job.Tags {\n 112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n 113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n 114→\t\t\t\treturn err\n 115→\t\t\t}\n 116→\t\t}\n 117→\n 118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n 119→\t}\n 120→\treturn nil\n 121→}\n 122→"}]},"uuid":"caa6d023-db8d-45b7-9f8b-bcecf261ee9b","timestamp":"2026-03-16T10:18:58.372Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","timestamp":"2026-03-16T10:18:58.392Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f82f0dfd-9389-4aef-aa4b-03c9867b17ea","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.630Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Lrz8ddRNW1dyYzAgLt2a4e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3395,"cache_creation_input_tokens":15343,"cache_read_input_tokens":18964,"cache_creation":{"ephemeral_5m_input_tokens":15343,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7KMFmx3TqednMpmZn","uuid":"d9916a4b-4d2e-4317-86ce-9538a79faa6d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"88660f4a-2f92-4c71-a5a2-bc232435ade9","timestamp":"2026-03-16T10:18:58.630Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"88660f4a-2f92-4c71-a5a2-bc232435ade9","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.653Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"c7f5103f-9410-4f83-a076-e0e40f661a33"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"093a7028-5f48-4791-8f33-45b30221ba4e","timestamp":"2026-03-16T10:18:58.653Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"093a7028-5f48-4791-8f33-45b30221ba4e","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WGYVBFCWU9MaBcsSh2v6TC","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\n 10→\t\"github.com/jmoiron/sqlx\"\n 11→)\n 12→\n 13→// Transaction wraps a database transaction for job-related operations.\n 14→type Transaction struct {\n 15→\ttx *sqlx.Tx\n 16→}\n 17→\n 18→// TransactionInit begins a new transaction.\n 19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n 20→\ttx, err := r.DB.Beginx()\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n 23→\t}\n 24→\treturn &Transaction{tx: tx}, nil\n 25→}\n 26→\n 27→// Commit commits the transaction.\n 28→// After calling Commit, the transaction should not be used again.\n 29→func (t *Transaction) Commit() error {\n 30→\tif t.tx == nil {\n 31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n 32→\t}\n 33→\terr := t.tx.Commit()\n 34→\tt.tx = nil // Mark as completed\n 35→\tif err != nil {\n 36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n 37→\t}\n 38→\treturn nil\n 39→}\n 40→\n 41→// Rollback rolls back the transaction.\n 42→// It's safe to call Rollback on an already committed or rolled back transaction.\n 43→func (t *Transaction) Rollback() error {\n 44→\tif t.tx == nil {\n 45→\t\treturn nil // Already committed/rolled back\n 46→\t}\n 47→\terr := t.tx.Rollback()\n 48→\tt.tx = nil // Mark as completed\n 49→\tif err != nil {\n 50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// TransactionEnd commits the transaction.\n 56→// Deprecated: Use Commit() instead.\n 57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n 58→\treturn t.Commit()\n 59→}\n 60→\n 61→// TransactionAddNamed executes a named query within the transaction.\n 62→func (r *JobRepository) TransactionAddNamed(\n 63→\tt *Transaction,\n 64→\tquery string,\n 65→\targs ...any,\n 66→) (int64, error) {\n 67→\tif t.tx == nil {\n 68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 69→\t}\n 70→\n 71→\tres, err := t.tx.NamedExec(query, args)\n 72→\tif err != nil {\n 73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n 74→\t}\n 75→\n 76→\tid, err := res.LastInsertId()\n 77→\tif err != nil {\n 78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 79→\t}\n 80→\n 81→\treturn id, nil\n 82→}\n 83→\n 84→// TransactionAdd executes a query within the transaction.\n 85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n 86→\tif t.tx == nil {\n 87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 88→\t}\n 89→\n 90→\tres, err := t.tx.Exec(query, args...)\n 91→\tif err != nil {\n 92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n 93→\t}\n 94→\n 95→\tid, err := res.LastInsertId()\n 96→\tif err != nil {\n 97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 98→\t}\n 99→\n 100→\treturn id, nil\n 101→}\n 102→"}]},"uuid":"12ed7ae8-b6d8-46d9-bea3-1bb398d27b5f","timestamp":"2026-03-16T10:18:58.648Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","timestamp":"2026-03-16T10:18:58.689Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"49d9c229-1f03-4e86-9428-b566dcbfe494","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALrm85FgoGJsoVYUDaZvMd","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package api provides the REST API layer for ClusterCockpit.\n 7→// It handles HTTP requests for job management, user administration,\n 8→// cluster queries, node state updates, and metrics storage operations.\n 9→// The API supports both JWT token authentication and session-based authentication.\n 10→package api\n 11→\n 12→import (\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"io\"\n 16→\t\"net/http\"\n 17→\t\"os\"\n 18→\t\"path/filepath\"\n 19→\t\"strings\"\n 20→\t\"sync\"\n 21→\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 29→\t\"github.com/go-chi/chi/v5\"\n 30→)\n 31→\n 32→// @title ClusterCockpit REST API\n 33→// @version 1.0.0\n 34→// @description API for batch job control.\n 35→\n 36→// @contact.name ClusterCockpit Project\n 37→// @contact.url https://github.com/ClusterCockpit\n 38→// @contact.email support@clustercockpit.org\n 39→\n 40→// @license.name MIT License\n 41→// @license.url https://opensource.org/licenses/MIT\n 42→\n 43→// @host localhost:8080\n 44→\n 45→// @securityDefinitions.apikey ApiKeyAuth\n 46→// @in header\n 47→// @name X-Auth-Token\n 48→\n 49→const (\n 50→\tnoticeFilePath = \"./var/notice.txt\"\n 51→\tnoticeFilePerms = 0o644\n 52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n 53→)\n 54→\n 55→type RestAPI struct {\n 56→\tJobRepository *repository.JobRepository\n 57→\tAuthentication *auth.Authentication\n 58→\tMachineStateDir string\n 59→\t// RepositoryMutex protects job creation operations from race conditions\n 60→\t// when checking for duplicate jobs during startJob API calls.\n 61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n 62→\t// from creating duplicate entries in the database.\n 63→\tRepositoryMutex sync.Mutex\n 64→}\n 65→\n 66→// New creates and initializes a new RestAPI instance with configured dependencies.\n 67→func New() *RestAPI {\n 68→\treturn &RestAPI{\n 69→\t\tJobRepository: repository.GetJobRepository(),\n 70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n 71→\t\tAuthentication: auth.GetAuthInstance(),\n 72→\t}\n 73→}\n 74→\n 75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n 76→// These routes use JWT token authentication via the X-Auth-Token header.\n 77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n 78→\t// REST API Uses TokenAuth\n 79→\t// User List\n 80→\tr.Get(\"/users/\", api.getUsers)\n 81→\t// Cluster List\n 82→\tr.Get(\"/clusters/\", api.getClusters)\n 83→\t// Slurm node state\n 84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n 85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n 86→\t// Job Handler\n 87→\tif config.Keys.APISubjects == nil {\n 88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n 89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n 90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n 91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n 92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n 93→\t}\n 94→\tr.Get(\"/jobs/\", api.getJobs)\n 95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n 96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n 97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n 98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n 99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n 100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n 101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n 103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n 104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n 105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 107→\n 108→\tr.Delete(\"/tags/\", api.removeTags)\n 109→\n 110→\tif api.MachineStateDir != \"\" {\n 111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n 112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 114→\t}\n 115→}\n 116→\n 117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n 118→// These are limited endpoints for regular users with JWT token authentication.\n 119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n 120→\t// REST API Uses TokenAuth\n 121→\tr.Get(\"/jobs/\", api.getJobs)\n 122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 125→}\n 126→\n 127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n 128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n 129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n 130→\t// REST API Uses TokenAuth\n 131→\tr.Post(\"/free\", freeMetrics)\n 132→\tr.Post(\"/write\", writeMetrics)\n 133→\tr.Get(\"/debug\", debugMetrics)\n 134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n 135→\t// Same endpoints but with trailing slash\n 136→\tr.Post(\"/free/\", freeMetrics)\n 137→\tr.Post(\"/write/\", writeMetrics)\n 138→\tr.Get(\"/debug/\", debugMetrics)\n 139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n 140→}\n 141→\n 142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n 143→// These routes use session-based authentication and require admin privileges.\n 144→// Routes use full paths (including /config prefix) to avoid conflicting with\n 145→// the /config page route when registered via Group instead of Route.\n 146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n 147→\t// Settings Frontend Uses SessionAuth\n 148→\tif api.Authentication != nil {\n 149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n 150→\t\tr.Post(\"/config/users/\", api.createUser)\n 151→\t\tr.Put(\"/config/users/\", api.createUser)\n 152→\t\tr.Get(\"/config/users/\", api.getUsers)\n 153→\t\tr.Delete(\"/config/users/\", api.deleteUser)\n 154→\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n 155→\t\tr.Post(\"/config/notice/\", api.editNotice)\n 156→\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n 157→\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n 158→\t}\n 159→}\n 160→\n 161→// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n 162→// These routes support JWT generation and user configuration updates with session authentication.\n 163→func (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n 164→\tr.Get(\"/logs/\", api.getJournalLog)\n 165→\t// Settings Frontend Uses SessionAuth\n 166→\tif api.Authentication != nil {\n 167→\t\tr.Get(\"/jwt/\", api.getJWT)\n 168→\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n 169→\t}\n 170→}\n 171→\n 172→// ErrorResponse model\n 173→type ErrorResponse struct {\n 174→\t// Statustext of Errorcode\n 175→\tStatus string `json:\"status\"`\n 176→\tError string `json:\"error\"` // Error Message\n 177→}\n 178→\n 179→// DefaultAPIResponse model\n 180→type DefaultAPIResponse struct {\n 181→\tMessage string `json:\"msg\"`\n 182→}\n 183→\n 184→// handleError writes a standardized JSON error response with the given status code.\n 185→// It logs the error at WARN level and ensures proper Content-Type headers are set.\n 186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n 187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n 188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 189→\trw.WriteHeader(statusCode)\n 190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n 191→\t\tStatus: http.StatusText(statusCode),\n 192→\t\tError: err.Error(),\n 193→\t}); err != nil {\n 194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n 195→\t}\n 196→}\n 197→\n 198→// decode reads JSON from r into val with strict validation that rejects unknown fields.\n 199→func decode(r io.Reader, val any) error {\n 200→\tdec := json.NewDecoder(r)"}]},"uuid":"2e0a6cb3-1f28-46f1-87e6-a875039aa9d6","timestamp":"2026-03-16T10:18:58.656Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","timestamp":"2026-03-16T10:18:58.812Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3eddec24-5f8b-4434-a6a4-b70ad17f6140","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:18:58.825Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01ALdPouxfK13qWn8xm2scWv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":8581,"cache_read_input_tokens":32724,"cache_creation":{"ephemeral_5m_input_tokens":8581,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7UaswaikLFwn5Yxwb","uuid":"23cdd152-f5cb-41ae-b643-7054ec852132"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","timestamp":"2026-03-16T10:18:58.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0bd3ee40-40ba-455c-9646-0d43ed7f8689","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QmfGnBNV3YMSkcKJ6z4wjb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue\n 151→\t\t\t}\n 152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n 153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n 154→\t\t\t\tarchivePending.Done()\n 155→\t\t\t\tcontinue\n 156→\t\t\t}\n 157→\t\t\t// Update the jobs database entry one last time:\n 158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n 159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n 160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n 161→\t\t\t\tarchivePending.Done()\n 162→\t\t\t\tcontinue\n 163→\t\t\t}\n 164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n 165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n 166→\n 167→\t\t\trepository.CallJobStopHooks(job)\n 168→\t\t\tarchivePending.Done()\n 169→\t\t}\n 170→\t}\n 171→}\n 172→\n 173→// TriggerArchiving queues a job for asynchronous archiving.\n 174→//\n 175→// This function should be called when a job completes (stops) to archive its\n 176→// metric data from the metric store to the configured archive backend.\n 177→//\n 178→// The function:\n 179→// 1. Increments the pending job counter (WaitGroup)\n 180→// 2. Sends the job to the archiving channel (buffered, capacity 128)\n 181→// 3. Returns immediately (non-blocking unless channel is full)\n 182→//\n 183→// The actual archiving is performed asynchronously by the worker goroutine.\n 184→// Upon completion, the worker will decrement the pending counter.\n 185→//\n 186→// Panics if Start() has not been called first.\n 187→func TriggerArchiving(job *schema.Job) {\n 188→\tif archiveChannel == nil {\n 189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n 190→\t}\n 191→\n 192→\tarchivePending.Add(1)\n 193→\tarchiveChannel <- job\n 194→}\n 195→\n 196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n 197→//\n 198→// The shutdown process:\n 199→// 1. Closes archiveChannel - no new jobs will be accepted\n 200→// 2. Waits for pending jobs to complete (up to timeout duration)\n 201→// 3. If timeout is exceeded:\n 202→// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n 203→// - Returns error indicating timeout\n 204→// 4. Waits for worker goroutine to exit cleanly\n 205→//\n 206→// Parameters:\n 207→// - timeout: Maximum duration to wait for pending jobs to complete\n 208→// (recommended: 10-30 seconds for production)\n 209→//\n 210→// Returns:\n 211→// - nil if all jobs completed within timeout\n 212→// - error if timeout was exceeded (some jobs may not have been archived)\n 213→//\n 214→// Jobs that don't complete within the timeout will be marked as failed.\n 215→// The function always ensures the worker goroutine exits before returning.\n 216→//\n 217→// Example:\n 218→//\n 219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 220→//\t log.Printf(\"Some jobs did not complete: %v\", err)\n 221→//\t}\n 222→func Shutdown(timeout time.Duration) error {\n 223→\tcclog.Info(\"Initiating archiver shutdown...\")\n 224→\n 225→\t// Close channel to signal no more jobs will be accepted\n 226→\tclose(archiveChannel)\n 227→\n 228→\t// Create a channel to signal when all jobs are done\n 229→\tdone := make(chan struct{})\n 230→\tgo func() {\n 231→\t\tarchivePending.Wait()\n 232→\t\tclose(done)\n 233→\t}()\n 234→\n 235→\t// Wait for jobs to complete or timeout\n 236→\tselect {\n 237→\tcase <-done:\n 238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n 239→\t\t// Wait for worker to exit\n 240→\t\t<-workerDone\n 241→\t\treturn nil\n 242→\tcase <-time.After(timeout):\n 243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n 244→\t\t// Cancel any ongoing operations\n 245→\t\tshutdownCancel()\n 246→\t\t// Wait for worker to exit\n 247→\t\t<-workerDone\n 248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n 249→\t}\n 250→}\n 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+{"parentUuid":"fe4f26ca-73ba-4d02-af6c-c25c65a02064","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TvXDoyQpRVirrkiiNAU6vk","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides an efficient in-memory time-series metric storage system\n 7→// with support for hierarchical data organization, checkpointing, and archiving.\n 8→//\n 9→// The package organizes metrics in a tree structure (cluster → host → component) and\n 10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n 11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n 12→// and enforcing retention policies.\n 13→//\n 14→// Key features:\n 15→// - In-memory metric storage with configurable retention\n 16→// - Hierarchical data organization (selectors)\n 17→// - Concurrent checkpoint/archive workers\n 18→// - Support for sum and average aggregation\n 19→// - NATS integration for metric ingestion\n 20→package metricstore\n 21→\n 22→import (\n 23→\t\"bytes\"\n 24→\t\"context\"\n 25→\t\"encoding/json\"\n 26→\t\"errors\"\n 27→\t\"fmt\"\n 28→\t\"runtime\"\n 29→\t\"runtime/debug\"\n 30→\t\"slices\"\n 31→\t\"sync\"\n 32→\t\"time\"\n 33→\n 34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 39→)\n 40→\n 41→// GlobalState holds the global state for the metric store with thread-safe access.\n 42→type GlobalState struct {\n 43→\tmu sync.RWMutex\n 44→\tlastRetentionTime int64\n 45→\tselectorsExcluded bool\n 46→}\n 47→\n 48→var (\n 49→\tsingleton sync.Once\n 50→\tmsInstance *MemoryStore\n 51→\t// shutdownFunc stores the context cancellation function created in Init\n 52→\t// and is called during Shutdown to cancel all background goroutines\n 53→\tshutdownFunc context.CancelFunc\n 54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n 55→\t// Create a global instance\n 56→\tstate = &GlobalState{}\n 57→)\n 58→\n 59→// NodeProvider provides information about nodes currently in use by running jobs.\n 60→//\n 61→// This interface allows metricstore to query job information without directly\n 62→// depending on the repository package, breaking the import cycle.\n 63→//\n 64→// Implementations should return nodes that are actively processing jobs started\n 65→// before the given timestamp. These nodes will be excluded from retention-based\n 66→// garbage collection to prevent data loss for jobs that are still running or\n 67→// recently completed.\n 68→type NodeProvider interface {\n 69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n 70→\t// that are currently in use by jobs that started before the given timestamp.\n 71→\t//\n 72→\t// Parameters:\n 73→\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n 74→\t//\n 75→\t// Returns:\n 76→\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n 77→\t// - Error if the query fails\n 78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n 79→}\n 80→\n 81→// Metric represents a single metric data point to be written to the store.\n 82→type Metric struct {\n 83→\tName string\n 84→\tValue schema.Float\n 85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n 86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n 87→\tMetricConfig MetricConfig\n 88→}\n 89→\n 90→// MemoryStore is the main in-memory time-series metric storage implementation.\n 91→//\n 92→// It organizes metrics in a hierarchical tree structure where each level represents\n 93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n 94→// store multiple metrics as time-series buffers.\n 95→//\n 96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n 97→// All public methods are safe for concurrent use.\n 98→type MemoryStore struct {\n 99→\tMetrics map[string]MetricConfig\n 100→\troot Level\n 101→\tnodeProvider NodeProvider\n 102→}\n 103→\n 104→// Init initializes the metric store from configuration and starts background workers.\n 105→//\n 106→// This function must be called exactly once before any other metricstore operations.\n 107→// It performs the following initialization steps:\n 108→// 1. Validates and decodes the metric store configuration\n 109→// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n 110→// 3. Loads metric configurations from all registered clusters\n 111→// 4. Restores checkpoints within the retention window\n 112→// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n 113→// 6. Optionally subscribes to NATS for real-time metric ingestion\n 114→//\n 115→// Parameters:\n 116→// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n 117→// - wg: WaitGroup that will be incremented for each background goroutine started\n 118→//\n 119→// The function will call cclog.Fatal on critical errors during initialization.\n 120→// Use Shutdown() to cleanly stop all background workers started by Init().\n 121→//\n 122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n 123→// receiving termination signals to ensure checkpoint data is persisted.\n 124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n 125→\tstartupTime := time.Now()\n 126→\n 127→\tif rawConfig != nil {\n 128→\t\tconfig.Validate(configSchema, rawConfig)\n 129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 130→\t\tdec.DisallowUnknownFields()\n 131→\t\tif err := dec.Decode(&Keys); err != nil {\n 132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n 133→\t\t}\n 134→\t}\n 135→\n 136→\t// Set NumWorkers from config or use default\n 137→\tif Keys.NumWorkers <= 0 {\n 138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n 139→\t}\n 140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n 141→\n 142→\t// Pass the config.MetricStoreKeys\n 143→\tInitMetrics(metrics)\n 144→\n 145→\tms := GetMemoryStore()\n 146→\n 147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 148→\tif err != nil {\n 149→\t\tcclog.Fatal(err)\n 150→\t}\n 151→\n 152→\trestoreFrom := startupTime.Add(-d)\n 153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n 154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n 155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n 156→\tif err != nil {\n 157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n 158→\t} else {\n 159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n 160→\t}\n 161→\n 162→\t// Try to use less memory by forcing a GC run here and then\n 163→\t// lowering the target percentage. The default of 100 means\n 164→\t// that only once the ratio of new allocations execeds the\n 165→\t// previously active heap, a GC is triggered.\n 166→\t// Forcing a GC here will set the \"previously active heap\"\n 167→\t// to a minumum.\n 168→\t// runtime.GC()\n 169→\n 170→\tctx, shutdown := context.WithCancel(context.Background())\n 171→\n 172→\tRetention(wg, ctx)\n 173→\tCheckpointing(wg, ctx)\n 174→\tCleanUp(wg, ctx)\n 175→\tWALStaging(wg, ctx)\n 176→\tMemoryUsageTracker(wg, ctx)\n 177→\n 178→\t// Note: Signal handling has been removed from this function.\n 179→\t// The caller is responsible for handling shutdown signals and calling\n 180→\t// the shutdown() function when appropriate.\n 181→\t// Store the shutdown function for later use by Shutdown()\n 182→\tshutdownFuncMu.Lock()\n 183→\tshutdownFunc = shutdown\n 184→\tshutdownFuncMu.Unlock()\n 185→\n 186→\tif Keys.Subscriptions != nil {\n 187→\t\terr = ReceiveNats(ms, 1, ctx)\n 188→\t\tif err != nil {\n 189→\t\t\tcclog.Fatal(err)\n 190→\t\t}\n 191→\t}\n 192→}\n 193→\n 194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n 195→//\n 196→// This function must be called before GetMemoryStore() and can only be called once due to\n 197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n 198→//\n 199→// Parameters:\n 200→// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)"}]},"uuid":"2950fd72-b369-478b-b67b-b5ac1cb2162f","timestamp":"2026-03-16T10:19:00.704Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","timestamp":"2026-03-16T10:19:01.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f2783f6a-6486-4b5f-9e19-a1986834a2cd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:01.631Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Ajr7iRjmw5LwMw7QHv154j","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RDViCNdKqUxaiuoyupxLeR","name":"Grep","input":{"pattern":"go func|go\\s+\\w+\\(|time\\.Ticker|Checkpoint|WALStaging|periodic","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore","output_mode":"files_with_matches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":6562,"cache_read_input_tokens":41305,"cache_creation":{"ephemeral_5m_input_tokens":6562,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7aNtTKE7gBJaJD4vN","uuid":"20d05472-e4f1-4829-b051-1e8a6e121a49"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"65d81d81-1657-4099-bd84-c655e7e4971a","timestamp":"2026-03-16T10:19:01.632Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"65d81d81-1657-4099-bd84-c655e7e4971a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RDViCNdKqUxaiuoyupxLeR","type":"tool_result","content":"Found 9 files\npkg/metricstore/config.go\npkg/metricstore/walCheckpoint.go\npkg/metricstore/configSchema.go\npkg/metricstore/checkpoint.go\npkg/metricstore/metricstore.go\npkg/metricstore/lineprotocol.go\npkg/metricstore/parquetArchive_test.go\npkg/metricstore/parquetArchive.go\npkg/metricstore/archive.go"}]},"uuid":"a6f2a22d-05c8-4bb0-b035-bce15e054651","timestamp":"2026-03-16T10:19:01.672Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"ce46d0bb-0387-43ae-bdd3-77482a3c4f6e","timestamp":"2026-03-16T10:19:01.673Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ce46d0bb-0387-43ae-bdd3-77482a3c4f6e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:01.913Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01JUYwV4Ap6SLmt7XyybL6WB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LNZxs59YvZtpxmBzuRJnut","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":7898,"cache_read_input_tokens":34307,"cache_creation":{"ephemeral_5m_input_tokens":7898,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7ZqeH3zD7VuT8EyR5","uuid":"8be19555-c6bb-4c6c-8552-8f436e7a0630"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","timestamp":"2026-03-16T10:19:01.913Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7f802976-61d9-4ba6-9843-51f90faf2ec0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LNZxs59YvZtpxmBzuRJnut","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package api provides the REST API layer for ClusterCockpit.\n 7→// It handles HTTP requests for job management, user administration,\n 8→// cluster queries, node state updates, and metrics storage operations.\n 9→// The API supports both JWT token authentication and session-based authentication.\n 10→package api\n 11→\n 12→import (\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"io\"\n 16→\t\"net/http\"\n 17→\t\"os\"\n 18→\t\"path/filepath\"\n 19→\t\"strings\"\n 20→\t\"sync\"\n 21→\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 29→\t\"github.com/go-chi/chi/v5\"\n 30→)\n 31→\n 32→// @title ClusterCockpit REST API\n 33→// @version 1.0.0\n 34→// @description API for batch job control.\n 35→\n 36→// @contact.name ClusterCockpit Project\n 37→// @contact.url https://github.com/ClusterCockpit\n 38→// @contact.email support@clustercockpit.org\n 39→\n 40→// @license.name MIT License\n 41→// @license.url https://opensource.org/licenses/MIT\n 42→\n 43→// @host localhost:8080\n 44→\n 45→// @securityDefinitions.apikey ApiKeyAuth\n 46→// @in header\n 47→// @name X-Auth-Token\n 48→\n 49→const (\n 50→\tnoticeFilePath = \"./var/notice.txt\"\n 51→\tnoticeFilePerms = 0o644\n 52→\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n 53→)\n 54→\n 55→type RestAPI struct {\n 56→\tJobRepository *repository.JobRepository\n 57→\tAuthentication *auth.Authentication\n 58→\tMachineStateDir string\n 59→\t// RepositoryMutex protects job creation operations from race conditions\n 60→\t// when checking for duplicate jobs during startJob API calls.\n 61→\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n 62→\t// from creating duplicate entries in the database.\n 63→\tRepositoryMutex sync.Mutex\n 64→}\n 65→\n 66→// New creates and initializes a new RestAPI instance with configured dependencies.\n 67→func New() *RestAPI {\n 68→\treturn &RestAPI{\n 69→\t\tJobRepository: repository.GetJobRepository(),\n 70→\t\tMachineStateDir: config.Keys.MachineStateDir,\n 71→\t\tAuthentication: auth.GetAuthInstance(),\n 72→\t}\n 73→}\n 74→\n 75→// MountAPIRoutes registers REST API endpoints for job and cluster management.\n 76→// These routes use JWT token authentication via the X-Auth-Token header.\n 77→func (api *RestAPI) MountAPIRoutes(r chi.Router) {\n 78→\t// REST API Uses TokenAuth\n 79→\t// User List\n 80→\tr.Get(\"/users/\", api.getUsers)\n 81→\t// Cluster List\n 82→\tr.Get(\"/clusters/\", api.getClusters)\n 83→\t// Slurm node state\n 84→\tr.Post(\"/nodestate/\", api.updateNodeStates)\n 85→\tr.Put(\"/nodestate/\", api.updateNodeStates)\n 86→\t// Job Handler\n 87→\tif config.Keys.APISubjects == nil {\n 88→\t\tcclog.Info(\"Enabling REST start/stop job API\")\n 89→\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n 90→\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n 91→\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n 92→\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n 93→\t}\n 94→\tr.Get(\"/jobs/\", api.getJobs)\n 95→\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n 96→\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n 97→\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n 98→\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n 99→\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n 100→\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n 101→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 102→\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n 103→\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n 104→\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n 105→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 106→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 107→\n 108→\tr.Delete(\"/tags/\", api.removeTags)\n 109→\n 110→\tif api.MachineStateDir != \"\" {\n 111→\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n 112→\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 113→\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n 114→\t}\n 115→}\n 116→\n 117→// MountUserAPIRoutes registers user-accessible REST API endpoints.\n 118→// These are limited endpoints for regular users with JWT token authentication.\n 119→func (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n 120→\t// REST API Uses TokenAuth\n 121→\tr.Get(\"/jobs/\", api.getJobs)\n 122→\tr.Post(\"/jobs/{id}\", api.getJobByID)\n 123→\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n 124→\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n 125→}\n 126→\n 127→// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n 128→// These endpoints handle metric data ingestion and health checks with JWT token authentication.\n 129→func (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n 130→\t// REST API Uses TokenAuth\n 131→\tr.Post(\"/free\", freeMetrics)\n 132→\tr.Post(\"/write\", writeMetrics)\n 133→\tr.Get(\"/debug\", debugMetrics)\n 134→\tr.Post(\"/healthcheck\", api.updateNodeStates)\n 135→\t// Same endpoints but with trailing slash\n 136→\tr.Post(\"/free/\", freeMetrics)\n 137→\tr.Post(\"/write/\", writeMetrics)\n 138→\tr.Get(\"/debug/\", debugMetrics)\n 139→\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n 140→}\n 141→\n 142→// MountConfigAPIRoutes registers configuration and user management endpoints.\n 143→// These routes use session-based authentication and require admin privileges.\n 144→// Routes use full paths (including /config prefix) to avoid conflicting with\n 145→// the /config page route when registered via Group instead of Route.\n 146→func (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n 147→\t// Settings Frontend Uses SessionAuth\n 148→\tif api.Authentication != nil {\n 149→\t\tr.Get(\"/config/roles/\", api.getRoles)\n 150→\t\tr.Post(\"/config/users/\", api.createUser)"}]},"uuid":"666a1724-c43c-4a5e-8c55-9baa9933b702","timestamp":"2026-03-16T10:19:01.917Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"ff277f41-2cbd-4d6d-8eee-554a7d50a2a9","timestamp":"2026-03-16T10:19:01.918Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"0ac4840d-8ce1-4864-ba76-57f99504b7ef","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LsPHTrPSnt2Estx2sBx8ai","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Transfer cached jobs to main table and clear cache in a single transaction.\n 96→\ttx, err := r.DB.Beginx()\n 97→\tif err != nil {\n 98→\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n 99→\t\treturn nil, err\n 100→\t}\n 101→\tdefer tx.Rollback()\n 102→\n 103→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 104→\t_, err = tx.Exec(\n 105→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 106→\tif err != nil {\n 107→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n 112→\tif err != nil {\n 113→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 114→\t\treturn nil, err\n 115→\t}\n 116→\n 117→\tif err := tx.Commit(); err != nil {\n 118→\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 123→\t// are from a different auto-increment sequence and must not be used to\n 124→\t// query the job table.\n 125→\tfor _, job := range jobs {\n 126→\t\tvar newID int64\n 127→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {\n 158→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 159→\t}\n 160→\n 161→\treturn newID, nil\n 162→}\n 163→\n 164→// Start inserts a new job in the table, returning the unique job ID.\n 165→// Statistics are not transfered!\n 166→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 167→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 168→\tif err != nil {\n 169→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 170→\t}\n 171→\n 172→\tjob.RawResources, err = json.Marshal(job.Resources)\n 173→\tif err != nil {\n 174→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 175→\t}\n 176→\n 177→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 178→\tif err != nil {\n 179→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 180→\t}\n 181→\n 182→\treturn r.InsertJob(job)\n 183→}\n 184→\n 185→// StartDirect inserts a new job directly into the job table (not job_cache).\n 186→// Use this when the returned ID will immediately be used for job table\n 187→// operations such as adding tags.\n 188→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 189→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 190→\tif err != nil {\n 191→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 192→\t}\n 193→\n 194→\tjob.RawResources, err = json.Marshal(job.Resources)\n 195→\tif err != nil {\n 196→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 197→\t}\n 198→\n 199→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 200→\tif err != nil {\n 201→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 202→\t}\n 203→\n 204→\treturn r.InsertJobDirect(job)\n 205→}\n 206→\n 207→// Stop updates the job with the database id jobId using the provided arguments.\n 208→func (r *JobRepository) Stop(\n 209→\tjobID int64,\n 210→\tduration int32,\n 211→\tstate schema.JobState,\n 212→\tmonitoringStatus int32,\n 213→) (err error) {\n 214→\t// Invalidate cache entries as job state is changing\n 215→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 216→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 217→\n 218→\tstmt := sq.Update(\"job\").\n 219→\t\tSet(\"job_state\", state).\n 220→\t\tSet(\"duration\", duration).\n 221→\t\tSet(\"monitoring_status\", monitoringStatus).\n 222→\t\tWhere(\"job.id = ?\", jobID)\n 223→\n 224→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 225→\treturn err\n 226→}\n 227→"}]},"uuid":"68d5eef7-19ca-4774-957f-4b6683917bf2","timestamp":"2026-03-16T10:19:02.479Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","timestamp":"2026-03-16T10:19:02.733Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1aab2bb2-b3e6-429f-99e9-6dc7e02162dc","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.785Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobHooks.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"998b9ccc-b4e0-44f5-85b6-283dfc42834e"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","timestamp":"2026-03-16T10:19:02.786Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"096be93c-f01e-4116-85f9-ba78b99ab30f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q56Kd1KsrdTWnGABXTQUbm","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"sync\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 12→)\n 13→\n 14→// JobHook interface allows external components to hook into job lifecycle events.\n 15→// Implementations can perform actions when jobs start or stop, such as tagging,\n 16→// logging, notifications, or triggering external workflows.\n 17→//\n 18→// Example implementation:\n 19→//\n 20→//\ttype MyJobTagger struct{}\n 21→//\n 22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n 23→//\t if job.NumNodes > 100 {\n 24→//\t // Tag large jobs automatically\n 25→//\t }\n 26→//\t}\n 27→//\n 28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n 29→//\t if job.State == schema.JobStateFailed {\n 30→//\t // Log or alert on failed jobs\n 31→//\t }\n 32→//\t}\n 33→//\n 34→// Register hooks during application initialization:\n 35→//\n 36→//\trepository.RegisterJobHook(&MyJobTagger{})\n 37→type JobHook interface {\n 38→\t// JobStartCallback is invoked when one or more jobs start.\n 39→\t// This is called synchronously, so implementations should be fast.\n 40→\tJobStartCallback(job *schema.Job)\n 41→\n 42→\t// JobStopCallback is invoked when a job completes.\n 43→\t// This is called synchronously, so implementations should be fast.\n 44→\tJobStopCallback(job *schema.Job)\n 45→}\n 46→\n 47→var (\n 48→\tinitOnce sync.Once\n 49→\thooks []JobHook\n 50→)\n 51→\n 52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n 53→// Multiple hooks can be registered and will be called in registration order.\n 54→// This function is safe to call multiple times and is typically called during\n 55→// application initialization.\n 56→//\n 57→// Nil hooks are silently ignored to simplify conditional registration.\n 58→func RegisterJobHook(hook JobHook) {\n 59→\tinitOnce.Do(func() {\n 60→\t\thooks = make([]JobHook, 0)\n 61→\t})\n 62→\n 63→\tif hook != nil {\n 64→\t\thooks = append(hooks, hook)\n 65→\t}\n 66→}\n 67→\n 68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n 69→// for each job in the provided slice. This is called internally by the repository\n 70→// when jobs are started (e.g., via StartJob or batch job imports).\n 71→//\n 72→// Hooks are called synchronously in registration order. If a hook panics,\n 73→// the panic will propagate to the caller.\n 74→func CallJobStartHooks(jobs []*schema.Job) {\n 75→\tif hooks == nil {\n 76→\t\treturn\n 77→\t}\n 78→\n 79→\tfor _, hook := range hooks {\n 80→\t\tif hook != nil {\n 81→\t\t\tfor _, job := range jobs {\n 82→\t\t\t\thook.JobStartCallback(job)\n 83→\t\t\t}\n 84→\t\t}\n 85→\t}\n 86→}\n 87→\n 88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n 89→// for the provided job. This is called internally by the repository when a\n 90→// job completes (e.g., via StopJob or job state updates).\n 91→//\n 92→// Hooks are called synchronously in registration order. If a hook panics,\n 93→// the panic will propagate to the caller.\n 94→func CallJobStopHooks(job *schema.Job) {\n 95→\tif hooks == nil {\n 96→\t\treturn\n 97→\t}\n 98→\n 99→\tfor _, hook := range hooks {\n 100→\t\tif hook != nil {\n 101→\t\t\thook.JobStopCallback(job)\n 102→\t\t}\n 103→\t}\n 104→}\n 105→"}]},"uuid":"05632aaf-09b7-49dc-9f0d-bef792d1b4ab","timestamp":"2026-03-16T10:19:02.791Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","timestamp":"2026-03-16T10:19:02.805Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a36d5096-d21b-47f0-8b87-06c60ecd5fdd","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:02.942Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01A5fp48JLodDTqUvyZLsqG1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":887,"cache_read_input_tokens":94870,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7iqdEG6srZ9LfpkQV","uuid":"10ace628-ff89-413e-9f33-5f307676cb9d"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"06874574-1671-41e1-b217-b43ab9f97416","timestamp":"2026-03-16T10:19:02.943Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"06874574-1671-41e1-b217-b43ab9f97416","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bi1LCZzLc9aRRiSvZTFx19","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→\n 38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n 39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n 40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n 41→\t// Default: 2048 (2GB)\n 42→\tDbCacheSizeMB int\n 43→\n 44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n 45→\t// SQLite will try to release cache pages to stay under this limit.\n 46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n 47→\t// Default: 16384 (16GB)\n 48→\tDbSoftHeapLimitMB int\n 49→\n 50→\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\n 51→\t// When a write is blocked by another writer, SQLite retries internally\n 52→\t// using a backoff mechanism for up to this duration before returning SQLITE_BUSY.\n 53→\t// Default: 60000 (60 seconds)\n 54→\tBusyTimeoutMs int\n 55→}\n 56→\n 57→// DefaultConfig returns the default repository configuration.\n 58→// These values are optimized for typical deployments.\n 59→func DefaultConfig() *RepositoryConfig {\n 60→\treturn &RepositoryConfig{\n 61→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 62→\t\tMaxOpenConnections: 4,\n 63→\t\tMaxIdleConnections: 4,\n 64→\t\tConnectionMaxLifetime: time.Hour,\n 65→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 66→\t\tMinRunningJobDuration: 600, // 10 minutes\n 67→\t\tDbCacheSizeMB: 2048, // 2GB per connection\n 68→\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n 69→\t\tBusyTimeoutMs: 60000, // 60 seconds\n 70→\t}\n 71→}\n 72→\n 73→// repoConfig is the package-level configuration instance.\n 74→// It is initialized with defaults and can be overridden via SetConfig.\n 75→var repoConfig *RepositoryConfig = DefaultConfig()\n 76→\n 77→// SetConfig sets the repository configuration.\n 78→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 79→// If not called, default values from DefaultConfig() are used.\n 80→func SetConfig(cfg *RepositoryConfig) {\n 81→\tif cfg != nil {\n 82→\t\trepoConfig = cfg\n 83→\t}\n 84→}\n 85→\n 86→// GetConfig returns the current repository configuration.\n 87→func GetConfig() *RepositoryConfig {\n 88→\treturn repoConfig\n 89→}\n 90→"}]},"uuid":"b52aab3d-70ab-4612-ab88-21bf16ecfd5f","timestamp":"2026-03-16T10:19:02.952Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","timestamp":"2026-03-16T10:19:02.963Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"13ac3caa-bfc8-42de-8a2e-6d97a9a25fee","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.249Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"5a0fc9cf-8ece-4061-ad34-30078c5300bc"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","timestamp":"2026-03-16T10:19:03.250Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9b943414-b0f7-4dde-8d10-192d4b43b05b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KyfFdLVrZr5BhrZzGeEYuR","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file implements checkpoint persistence for the in-memory metric store.\n 7→//\n 8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n 9→// data to disk in JSON or binary format. The checkpoint system:\n 10→//\n 11→// Key Features:\n 12→// - Periodic background checkpointing via the Checkpointing() worker\n 13→// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n 14→// - Parallel checkpoint creation and loading using worker pools\n 15→// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n 16→// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n 17→// - Only saves unarchived data (archived data is already persisted elsewhere)\n 18→// - GC optimization during loading to prevent excessive heap growth\n 19→//\n 20→// Checkpoint Workflow:\n 21→// 1. Init() loads checkpoints within retention window at startup\n 22→// 2. Checkpointing() worker periodically saves new data\n 23→// 3. Shutdown() writes final checkpoint before exit\n 24→//\n 25→// File Organization:\n 26→//\n 27→//\tcheckpoints/\n 28→//\t cluster1/\n 29→//\t host001/\n 30→//\t 1234567890.json (JSON format: full subtree snapshot)\n 31→//\t 1234567890.bin (binary format: full subtree snapshot)\n 32→//\t current.wal (WAL format: append-only per-entry log)\n 33→//\t host002/\n 34→//\t ...\n 35→package metricstore\n 36→\n 37→import (\n 38→\t\"bufio\"\n 39→\t\"context\"\n 40→\t\"encoding/json\"\n 41→\t\"errors\"\n 42→\t\"fmt\"\n 43→\t\"io/fs\"\n 44→\t\"os\"\n 45→\t\"path\"\n 46→\t\"path/filepath\"\n 47→\t\"sort\"\n 48→\t\"strconv\"\n 49→\t\"strings\"\n 50→\t\"sync\"\n 51→\t\"sync/atomic\"\n 52→\t\"time\"\n 53→\n 54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 56→)\n 57→\n 58→const (\n 59→\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n 60→\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n 61→\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n 62→)\n 63→\n 64→// CheckpointMetrics represents metric data in a checkpoint file.\n 65→// Whenever the structure changes, update MarshalJSON as well!\n 66→type CheckpointMetrics struct {\n 67→\tData []schema.Float `json:\"data\"`\n 68→\tFrequency int64 `json:\"frequency\"`\n 69→\tStart int64 `json:\"start\"`\n 70→}\n 71→\n 72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n 73→// It mirrors the Level tree structure from the MemoryStore.\n 74→type CheckpointFile struct {\n 75→\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n 76→\tChildren map[string]*CheckpointFile `json:\"children\"`\n 77→\tFrom int64 `json:\"from\"`\n 78→\tTo int64 `json:\"to\"`\n 79→}\n 80→\n 81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n 82→var (\n 83→\tlastCheckpoint time.Time\n 84→\tlastCheckpointMu sync.Mutex\n 85→)\n 86→\n 87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n 88→//\n 89→// Checkpoints are written every 12 hours (hardcoded).\n 90→//\n 91→// Format behaviour:\n 92→// - \"json\": Periodic checkpointing every checkpointInterval\n 93→// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\n 94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n 95→\tlastCheckpointMu.Lock()\n 96→\tlastCheckpoint = time.Now()\n 97→\tlastCheckpointMu.Unlock()\n 98→\n 99→\tms := GetMemoryStore()\n 100→\n 101→\twg.Go(func() {\n 102→\n 103→\t\td := 12 * time.Hour // default checkpoint interval\n 104→\t\tif Keys.CheckpointInterval != \"\" {\n 105→\t\t\tparsed, err := time.ParseDuration(Keys.CheckpointInterval)\n 106→\t\t\tif err != nil {\n 107→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)\n 108→\t\t\t} else {\n 109→\t\t\t\td = parsed\n 110→\t\t\t}\n 111→\t\t}\n 112→\n 113→\t\tticker := time.NewTicker(d)\n 114→\t\tdefer ticker.Stop()\n 115→\n 116→\t\tfor {\n 117→\t\t\tselect {\n 118→\t\t\tcase <-ctx.Done():\n 119→\t\t\t\treturn\n 120→\t\t\tcase <-ticker.C:\n 121→\t\t\t\tlastCheckpointMu.Lock()\n 122→\t\t\t\tfrom := lastCheckpoint\n 123→\t\t\t\tlastCheckpointMu.Unlock()\n 124→\n 125→\t\t\t\tnow := time.Now()\n 126→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n 127→\n 128→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 129→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 130→\t\t\t\t\tif err != nil {\n 131→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n 132→\t\t\t\t\t} else {\n 133→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n 134→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 135→\t\t\t\t\t\tlastCheckpoint = now\n 136→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 137→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n 138→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n 139→\t\t\t\t\t}\n 140→\t\t\t\t} else {\n 141→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 142→\t\t\t\t\tif err != nil {\n 143→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n 144→\t\t\t\t\t} else {\n 145→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n 146→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 147→\t\t\t\t\t\tlastCheckpoint = now\n 148→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 149→\t\t\t\t\t}\n 150→\t\t\t\t}"}]},"uuid":"2e62ad0e-e1ca-4a62-8920-adefada05ab4","timestamp":"2026-03-16T10:19:03.257Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","timestamp":"2026-03-16T10:19:03.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"08bc3ea6-5a29-40ce-a454-517965a2df69","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:03.473Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GyWTgPCodqRdXWs2Xtqnf9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/archive.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3652,"cache_read_input_tokens":47867,"cache_creation":{"ephemeral_5m_input_tokens":3652,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7nWPY1M4kbgthYUgQ","uuid":"ffb59d61-c950-4575-be83-8fa23ccf134e"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","timestamp":"2026-03-16T10:19:03.474Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"62950f86-d692-4cd6-80d5-c9ab75652eb6","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKpit9DLQd9NqwBkhNcXKB","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"path/filepath\"\n 14→\t\"sync\"\n 15→\t\"sync/atomic\"\n 16→\t\"time\"\n 17→\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→)\n 20→\n 21→// Worker for either Archiving or Deleting files\n 22→\n 23→func CleanUp(wg *sync.WaitGroup, ctx context.Context) {\n 24→\tif Keys.Cleanup.Mode == \"archive\" {\n 25→\t\t// Run as Archiver\n 26→\t\tcleanUpWorker(wg, ctx,\n 27→\t\t\tKeys.RetentionInMemory,\n 28→\t\t\t\"archiving\",\n 29→\t\t\tKeys.Cleanup.RootDir,\n 30→\t\t\tfalse,\n 31→\t\t)\n 32→\t} else {\n 33→\t\t// Run as Deleter\n 34→\t\tcleanUpWorker(wg, ctx,\n 35→\t\t\tKeys.RetentionInMemory,\n 36→\t\t\t\"deleting\",\n 37→\t\t\t\"\",\n 38→\t\t\ttrue,\n 39→\t\t)\n 40→\t}\n 41→}\n 42→\n 43→// cleanUpWorker takes simple values to configure what it does\n 44→func cleanUpWorker(wg *sync.WaitGroup, ctx context.Context, interval string, mode string, cleanupDir string, delete bool) {\n 45→\twg.Go(func() {\n 46→\n 47→\t\td, err := time.ParseDuration(interval)\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Fatalf(\"[METRICSTORE]> error parsing %s interval duration: %v\\n\", mode, err)\n 50→\t\t}\n 51→\t\tif d <= 0 {\n 52→\t\t\treturn\n 53→\t\t}\n 54→\n 55→\t\tticker := time.NewTicker(d)\n 56→\t\tdefer ticker.Stop()\n 57→\n 58→\t\tfor {\n 59→\t\t\tselect {\n 60→\t\t\tcase <-ctx.Done():\n 61→\t\t\t\treturn\n 62→\t\t\tcase <-ticker.C:\n 63→\t\t\t\tt := time.Now().Add(-d)\n 64→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start %s checkpoints (older than %s)...\", mode, t.Format(time.RFC3339))\n 65→\n 66→\t\t\t\tn, err := CleanupCheckpoints(Keys.Checkpoints.RootDir, cleanupDir, t.Unix(), delete)\n 67→\n 68→\t\t\t\tif err != nil {\n 69→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> %s failed: %s\", mode, err.Error())\n 70→\t\t\t\t} else {\n 71→\t\t\t\t\tif delete {\n 72→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoints deleted\", n)\n 73→\t\t\t\t\t} else {\n 74→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files archived to parquet\", n)\n 75→\t\t\t\t\t}\n 76→\t\t\t\t}\n 77→\t\t\t}\n 78→\t\t}\n 79→\t})\n 80→}\n 81→\n 82→var ErrNoNewArchiveData error = errors.New(\"all data already archived\")\n 83→\n 84→// CleanupCheckpoints deletes or archives all checkpoint files older than `from`.\n 85→// When archiving, consolidates all hosts per cluster into a single Parquet file.\n 86→func CleanupCheckpoints(checkpointsDir, cleanupDir string, from int64, deleteInstead bool) (int, error) {\n 87→\tif deleteInstead {\n 88→\t\treturn deleteCheckpoints(checkpointsDir, from)\n 89→\t}\n 90→\n 91→\treturn archiveCheckpoints(checkpointsDir, cleanupDir, from)\n 92→}\n 93→\n 94→// deleteCheckpoints removes checkpoint files older than `from` across all clusters/hosts.\n 95→func deleteCheckpoints(checkpointsDir string, from int64) (int, error) {\n 96→\tentries1, err := os.ReadDir(checkpointsDir)\n 97→\tif err != nil {\n 98→\t\treturn 0, err\n 99→\t}\n 100→\n 101→\ttype workItem struct {\n 102→\t\tdir string\n 103→\t\tcluster, host string\n 104→\t}\n 105→\n 106→\tvar wg sync.WaitGroup\n 107→\tn, errs := int32(0), int32(0)\n 108→\twork := make(chan workItem, Keys.NumWorkers)\n 109→\n 110→\twg.Add(Keys.NumWorkers)\n 111→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 112→\t\tgo func() {\n 113→\t\t\tdefer wg.Done()\n 114→\t\t\tfor item := range work {\n 115→\t\t\t\tentries, err := os.ReadDir(item.dir)\n 116→\t\t\t\tif err != nil {\n 117→\t\t\t\t\tcclog.Errorf(\"error reading %s/%s: %s\", item.cluster, item.host, err.Error())\n 118→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 119→\t\t\t\t\tcontinue\n 120→\t\t\t\t}\n 121→\n 122→\t\t\t\tfiles, err := findFiles(entries, from, false)\n 123→\t\t\t\tif err != nil {\n 124→\t\t\t\t\tcclog.Errorf(\"error finding files in %s/%s: %s\", item.cluster, item.host, err.Error())\n 125→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 126→\t\t\t\t\tcontinue\n 127→\t\t\t\t}\n 128→\n 129→\t\t\t\tfor _, checkpoint := range files {\n 130→\t\t\t\t\tif err := os.Remove(filepath.Join(item.dir, checkpoint)); err != nil {\n 131→\t\t\t\t\t\tcclog.Errorf(\"error deleting %s/%s/%s: %s\", item.cluster, item.host, checkpoint, err.Error())\n 132→\t\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 133→\t\t\t\t\t} else {\n 134→\t\t\t\t\t\tatomic.AddInt32(&n, 1)\n 135→\t\t\t\t\t}\n 136→\t\t\t\t}\n 137→\t\t\t}\n 138→\t\t}()\n 139→\t}\n 140→\n 141→\tfor _, de1 := range entries1 {\n 142→\t\tentries2, e := os.ReadDir(filepath.Join(checkpointsDir, de1.Name()))\n 143→\t\tif e != nil {\n 144→\t\t\terr = e\n 145→\t\t\tcontinue\n 146→\t\t}\n 147→\n 148→\t\tfor _, de2 := range entries2 {\n 149→\t\t\twork <- workItem{\n 150→\t\t\t\tdir: filepath.Join(checkpointsDir, de1.Name(), de2.Name()),"}]},"uuid":"3afe89cf-60fc-471d-ae9b-6f193b18a7a9","timestamp":"2026-03-16T10:19:03.485Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"54d4faf4-bc11-4dac-b7f7-b8bdc182f051","timestamp":"2026-03-16T10:19:03.493Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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{","is_error":false}]},"uuid":"83a6ae39-13a1-426b-a36b-ee3900189275","timestamp":"2026-03-16T10:19:05.493Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"44c09212-687c-499b-ac29-9cc0e79d8189","timestamp":"2026-03-16T10:19:05.494Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"44c09212-687c-499b-ac29-9cc0e79d8189","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FeC9fr85spYr1P3VKWY5Lc","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package main provides the entry point for the ClusterCockpit backend server.\n 7→// It orchestrates initialization of all subsystems including configuration,\n 8→// database, authentication, and the HTTP server.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"os\"\n 16→\t\"os/signal\"\n 17→\t\"runtime/debug\"\n 18→\t\"strings\"\n 19→\t\"sync\"\n 20→\t\"syscall\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 34→\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 39→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 40→\t\"github.com/google/gops/agent\"\n 41→\t\"github.com/joho/godotenv\"\n 42→\n 43→\t_ \"github.com/mattn/go-sqlite3\"\n 44→)\n 45→\n 46→const logoString = `\n 47→ _____ _ _ ____ _ _ _\n 48→/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n 49→| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n 50→| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n 51→\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n 52→ |_|\n 53→`\n 54→\n 55→// Environment variable names\n 56→const (\n 57→\tenvGOGC = \"GOGC\"\n 58→)\n 59→\n 60→// Default configurations\n 61→const (\n 62→\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n 63→)\n 64→\n 65→var (\n 66→\tdate string\n 67→\tcommit string\n 68→\tversion string\n 69→)\n 70→\n 71→func printVersion() {\n 72→\tfmt.Print(logoString)\n 73→\tfmt.Printf(\"Version:\\t%s\\n\", version)\n 74→\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n 75→\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n 76→\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n 77→\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n 78→}\n 79→\n 80→func initGops() error {\n 81→\tif !flagGops {\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif err := agent.Listen(agent.Options{}); err != nil {\n 86→\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n 87→\t}\n 88→\treturn nil\n 89→}\n 90→\n 91→func loadEnvironment() error {\n 92→\tif err := godotenv.Load(); err != nil {\n 93→\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n 94→\t}\n 95→\treturn nil\n 96→}\n 97→\n 98→func initConfiguration() error {\n 99→\tccconf.Init(flagConfigFile)\n 100→\n 101→\tcfg := ccconf.GetPackageConfig(\"main\")\n 102→\tif cfg == nil {\n 103→\t\treturn fmt.Errorf(\"main configuration must be present\")\n 104→\t}\n 105→\n 106→\tconfig.Init(cfg)\n 107→\treturn nil\n 108→}\n 109→\n 110→func initDatabase() error {\n 111→\tif config.Keys.DbConfig != nil {\n 112→\t\tcfg := repository.DefaultConfig()\n 113→\t\tdc := config.Keys.DbConfig\n 114→\t\tif dc.CacheSizeMB > 0 {\n 115→\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n 116→\t\t}\n 117→\t\tif dc.SoftHeapLimitMB > 0 {\n 118→\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n 119→\t\t}\n 120→\t\tif dc.MaxOpenConnections > 0 {\n 121→\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n 122→\t\t}\n 123→\t\tif dc.MaxIdleConnections > 0 {\n 124→\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n 125→\t\t}\n 126→\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n 127→\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n 128→\t\t}\n 129→\t\trepository.SetConfig(cfg)\n 130→\t}\n 131→\trepository.Connect(config.Keys.DB)\n 132→\treturn nil\n 133→}\n 134→\n 135→func handleDatabaseCommands() error {\n 136→\tif flagMigrateDB {\n 137→\t\terr := repository.MigrateDB(config.Keys.DB)\n 138→\t\tif err != nil {\n 139→\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n 140→\t\t}\n 141→\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n 142→\t\t\tconfig.Keys.DB, repository.Version)\n 143→\t}\n 144→\n 145→\tif flagRevertDB {\n 146→\t\terr := repository.RevertDB(config.Keys.DB)\n 147→\t\tif err != nil {\n 148→\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n 149→\t\t}\n 150→\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\","}]},"uuid":"50c72db8-1193-4668-a5ab-a831c0b28297","timestamp":"2026-03-16T10:19:05.300Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","timestamp":"2026-03-16T10:19:05.581Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d30ca725-65e2-48c0-aa57-0340539f91b0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:05.964Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01LJ3XxW1v5AFPnJvbZpSdmT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","name":"Grep","input":{"pattern":"taskmanager\\.Start|archiver\\.Start|metricstore\\.Init|Shutdown","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":4160,"cache_read_input_tokens":51519,"cache_creation":{"ephemeral_5m_input_tokens":4160,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7vJwiwLWsiVxoestV","uuid":"bffd57cc-e1a9-43a7-88e6-9209b4e7ffe3"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","timestamp":"2026-03-16T10:19:05.965Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c34bac75-fe5d-4d7a-9b2c-eac17e5107ab","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UYjt9gRJmVFdedUZ3p6yHJ","type":"tool_result","content":"cmd/cc-backend/main.go:343:\t\tmetricstore.Init(mscfg, metrics, &wg)\ncmd/cc-backend/main.go:373:\tarchiver.Start(repository.GetJobRepository(), ctx)\ncmd/cc-backend/main.go:374:\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\ncmd/cc-backend/main.go:406:\t\t\tcclog.Info(\"Shutdown signal received\")\ncmd/cc-backend/main.go:411:\t\tsrv.Shutdown(ctx)\ncmd/cc-backend/main.go:412:\t\tutil.FsWatcherShutdown()\ncmd/cc-backend/main.go:413:\t\ttaskmanager.Shutdown()\ncmd/cc-backend/server.go:407:\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:418:func (s *Server) Shutdown(ctx context.Context) {\ncmd/cc-backend/server.go:429:\tif err := s.server.Shutdown(shutdownCtx); err != nil {\ncmd/cc-backend/server.go:437:\t\tmetricstore.Shutdown()\ncmd/cc-backend/server.go:440:\t// Shutdown archiver with 10 second timeout for fast shutdown\ncmd/cc-backend/server.go:441:\tif err := archiver.Shutdown(10 * time.Second); err != nil {"}]},"uuid":"73ab8bde-0953-4ec8-9bd7-3f54d658a02e","timestamp":"2026-03-16T10:19:05.985Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","timestamp":"2026-03-16T10:19:05.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b3aad3d9-92aa-4500-bffb-d390c8a27614","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.003Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ST4386xqZyT4q6mcKciHXA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":200,"limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"2fdaddba-6584-4d68-b405-4d0392ef22e0"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","timestamp":"2026-03-16T10:19:06.004Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e7152bfa-6d65-4375-9200-50ded51bd86b","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ST4386xqZyT4q6mcKciHXA","type":"tool_result","content":" 200→\n 201→\t\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 202→\t\tif err != nil {\n 203→\t\t\thandleError(err, http.StatusInternalServerError, rw)\n 204→\t\t\treturn\n 205→\t\t}\n 206→\n 207→\t\tif job.MonitoringStatus == schema.MonitoringStatusArchivingSuccessful {\n 208→\t\t\tjob.Statistics, err = archive.GetStatistics(job)\n 209→\t\t\tif err != nil {\n 210→\t\t\t\thandleError(err, http.StatusInternalServerError, rw)\n 211→\t\t\t\treturn\n 212→\t\t\t}\n 213→\t\t}\n 214→\n 215→\t\tresults = append(results, job)\n 216→\t}\n 217→\n 218→\tcclog.Debugf(\"/api/jobs: %d jobs returned\", len(results))\n 219→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 220→\tbw := bufio.NewWriter(rw)\n 221→\tdefer bw.Flush()\n 222→\n 223→\tpayload := GetJobsAPIResponse{\n 224→\t\tJobs: results,\n 225→\t\tItems: page.ItemsPerPage,\n 226→\t\tPage: page.Page,\n 227→\t}\n 228→\n 229→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n 230→\t\thandleError(err, http.StatusInternalServerError, rw)\n 231→\t\treturn\n 232→\t}\n 233→}\n 234→\n 235→// getCompleteJobByID godoc\n 236→// @summary Get job meta and optional all metric data\n 237→// @tags Job query\n 238→// @description Job to get is specified by database ID\n 239→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n 240→// @produce json\n 241→// @param id path int true \"Database ID of Job\"\n 242→// @param all-metrics query bool false \"Include all available metrics\"\n 243→// @success 200 {object} api.GetJobAPIResponse \"Job resource\"\n 244→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 245→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 246→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 247→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 248→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 249→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 250→// @security ApiKeyAuth\n 251→// @router /api/jobs/{id} [get]\n 252→func (api *RestAPI) getCompleteJobByID(rw http.ResponseWriter, r *http.Request) {\n 253→\t// Fetch job from db\n 254→\tid := chi.URLParam(r, \"id\")\n 255→\tvar job *schema.Job\n 256→\tvar err error\n 257→\tif id != \"\" {\n 258→\t\tid, e := strconv.ParseInt(id, 10, 64)\n 259→\t\tif e != nil {\n 260→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n 261→\t\t\treturn\n 262→\t\t}\n 263→\n 264→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id) // Get Job from Repo by ID\n 265→\t} else {\n 266→\t\thandleError(fmt.Errorf(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n 267→\t\treturn\n 268→\t}\n 269→\tif err != nil {\n 270→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n 271→\t\treturn\n 272→\t}\n 273→\n 274→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 275→\tif err != nil {\n 276→\t\thandleError(err, http.StatusInternalServerError, rw)\n 277→\t\treturn\n 278→\n 279→\t}\n 280→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n 281→\n 282→\t\thandleError(err, http.StatusInternalServerError, rw)\n 283→\t\treturn\n 284→\t}\n 285→\n 286→\tvar scopes []schema.MetricScope\n 287→\n 288→\tif job.NumNodes == 1 {\n 289→\t\tscopes = []schema.MetricScope{\"core\"}\n 290→\t} else {\n 291→\t\tscopes = []schema.MetricScope{\"node\"}\n 292→\t}\n 293→\n 294→\tvar data schema.JobData\n 295→\n 296→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 297→\tresolution := 0\n 298→\n 299→\tfor _, mc := range metricConfigs {\n 300→\t\tresolution = max(resolution, mc.Timestep)\n 301→\t}\n 302→\n 303→\tif r.URL.Query().Get(\"all-metrics\") == \"true\" {\n 304→\t\tdata, err = metricdispatch.LoadData(job, nil, scopes, r.Context(), resolution)\n 305→\t\tif err != nil {\n 306→\t\t\tcclog.Warnf(\"REST: error while loading all-metrics job data for JobID %d on %s\", job.JobID, job.Cluster)\n 307→\t\t\treturn\n 308→\t\t}\n 309→\t}\n 310→\n 311→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n 312→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 313→\tbw := bufio.NewWriter(rw)\n 314→\tdefer bw.Flush()\n 315→\n 316→\tpayload := GetCompleteJobAPIResponse{\n 317→\t\tMeta: job,\n 318→\t\tData: data,\n 319→\t}\n 320→\n 321→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n 322→\t\thandleError(err, http.StatusInternalServerError, rw)\n 323→\t\treturn\n 324→\t}\n 325→}\n 326→\n 327→// getJobByID godoc\n 328→// @summary Get job meta and configurable metric data\n 329→// @tags Job query\n 330→// @description Job to get is specified by database ID\n 331→// @description Returns full job resource information according to 'Job' scheme and all metrics according to 'JobData'.\n 332→// @accept json\n 333→// @produce json\n 334→// @param id path int true \"Database ID of Job\"\n 335→// @param request body api.GetJobAPIRequest true \"Array of metric names\"\n 336→// @success 200 {object} api.GetJobAPIResponse \"Job resource\"\n 337→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 338→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 339→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 340→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 341→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 342→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 343→// @security ApiKeyAuth\n 344→// @router /api/jobs/{id} [post]\n 345→func (api *RestAPI) getJobByID(rw http.ResponseWriter, r *http.Request) {\n 346→\t// Fetch job from db\n 347→\tid := chi.URLParam(r, \"id\")\n 348→\tvar job *schema.Job\n 349→\tvar err error\n 350→\tif id != \"\" {\n 351→\t\tid, e := strconv.ParseInt(id, 10, 64)\n 352→\t\tif e != nil {\n 353→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n 354→\t\t\treturn\n 355→\t\t}\n 356→\n 357→\t\tjob, err = api.JobRepository.FindByID(r.Context(), id)\n 358→\t} else {\n 359→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n 360→\t\treturn\n 361→\t}\n 362→\tif err != nil {\n 363→\t\thandleError(fmt.Errorf(\"finding job with db id %s failed: %w\", id, err), http.StatusUnprocessableEntity, rw)\n 364→\t\treturn\n 365→\t}\n 366→\n 367→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 368→\tif err != nil {\n 369→\t\thandleError(err, http.StatusInternalServerError, rw)\n 370→\t\treturn\n 371→\n 372→\t}\n 373→\tif _, err = api.JobRepository.FetchMetadata(job); err != nil {\n 374→\n 375→\t\thandleError(err, http.StatusInternalServerError, rw)\n 376→\t\treturn\n 377→\t}\n 378→\n 379→\tvar metrics GetJobAPIRequest\n 380→\tif err = decode(r.Body, &metrics); err != nil {\n 381→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 382→\t\treturn\n 383→\t}\n 384→\n 385→\tvar scopes []schema.MetricScope\n 386→\n 387→\tif job.NumNodes == 1 {\n 388→\t\tscopes = []schema.MetricScope{\"core\"}\n 389→\t} else {\n 390→\t\tscopes = []schema.MetricScope{\"node\"}\n 391→\t}\n 392→\n 393→\tmetricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 394→\tresolution := 0\n 395→\n 396→\tfor _, mc := range metricConfigs {\n 397→\t\tresolution = max(resolution, mc.Timestep)\n 398→\t}\n 399→\n 400→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, r.Context(), resolution)\n 401→\tif err != nil {\n 402→\t\tcclog.Warnf(\"REST: error while loading job data for JobID %d on %s\", job.JobID, job.Cluster)\n 403→\t\treturn\n 404→\t}\n 405→\n 406→\tres := []*JobMetricWithName{}\n 407→\tfor name, md := range data {\n 408→\t\tfor scope, metric := range md {\n 409→\t\t\tres = append(res, &JobMetricWithName{\n 410→\t\t\t\tName: name,\n 411→\t\t\t\tScope: scope,\n 412→\t\t\t\tMetric: metric,\n 413→\t\t\t})\n 414→\t\t}\n 415→\t}\n 416→\n 417→\tcclog.Debugf(\"/api/job/%s: get job %d\", id, job.JobID)\n 418→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 419→\tbw := bufio.NewWriter(rw)\n 420→\tdefer bw.Flush()\n 421→\n 422→\tpayload := GetJobAPIResponse{\n 423→\t\tMeta: job,\n 424→\t\tData: res,\n 425→\t}\n 426→\n 427→\tif err := json.NewEncoder(bw).Encode(payload); err != nil {\n 428→\t\thandleError(err, http.StatusInternalServerError, rw)\n 429→\t\treturn\n 430→\t}\n 431→}\n 432→\n 433→// editMeta godoc\n 434→// @summary Edit meta-data json of job identified by database id\n 435→// @tags Job add and modify\n 436→// @description Edit key value pairs in job metadata json of job specified by database id\n 437→// @description If a key already exists its content will be overwritten\n 438→// @accept json\n 439→// @produce json\n 440→// @param id path int true \"Job Database ID\"\n 441→// @param request body api.EditMetaRequest true \"Metadata Key value pair to add or update\"\n 442→// @success 200 {object} schema.Job \"Updated job resource\"\n 443→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 444→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 445→// @failure 404 {object} api.ErrorResponse \"Job does not exist\"\n 446→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 447→// @security ApiKeyAuth\n 448→// @router /api/jobs/edit_meta/{id} [patch]\n 449→func (api *RestAPI) editMeta(rw http.ResponseWriter, r *http.Request) {\n 450→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n 451→\tif err != nil {\n 452→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n 453→\t\treturn\n 454→\t}\n 455→\n 456→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n 457→\tif err != nil {\n 458→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 459→\t\treturn\n 460→\t}\n 461→\n 462→\tvar req EditMetaRequest\n 463→\tif err := decode(r.Body, &req); err != nil {\n 464→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 465→\t\treturn\n 466→\t}\n 467→\n 468→\tif err := api.JobRepository.UpdateMetadata(job, req.Key, req.Value); err != nil {\n 469→\t\thandleError(fmt.Errorf(\"updating metadata failed: %w\", err), http.StatusInternalServerError, rw)\n 470→\t\treturn\n 471→\t}\n 472→\n 473→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 474→\trw.WriteHeader(http.StatusOK)\n 475→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n 476→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n 477→\t}\n 478→}\n 479→\n 480→// editMetaByRequest godoc\n 481→// @summary Edit meta-data json of job identified by request\n 482→// @tags Job add and modify\n 483→// @description Edit key value pairs in metadata json of job specified by jobID, StartTime and Cluster\n 484→// @description If a key already exists its content will be overwritten\n 485→// @accept json\n 486→// @produce json\n 487→// @param request body api.JobMetaRequest true \"Specifies job and payload to add or update\"\n 488→// @success 200 {object} schema.Job \"Updated job resource\"\n 489→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 490→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 491→// @failure 404 {object} api.ErrorResponse \"Job does not exist\"\n 492→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 493→// @security ApiKeyAuth\n 494→// @router /api/jobs/edit_meta/ [patch]\n 495→func (api *RestAPI) editMetaByRequest(rw http.ResponseWriter, r *http.Request) {\n 496→\t// Parse request body\n 497→\treq := JobMetaRequest{}\n 498→\tif err := decode(r.Body, &req); err != nil {\n 499→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)"}]},"uuid":"3aca981d-fe49-453f-82cf-6319171ebbf9","timestamp":"2026-03-16T10:19:06.006Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","timestamp":"2026-03-16T10:19:06.020Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"edce2b88-2759-4c51-b31d-29c1b6aeb546","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.431Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DxpC6YbHcoNjtiTW1NMxbh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","name":"Grep","input":{"pattern":"UpdateMonitoringStatus|UpdateFootprint|Flush|Exec|NamedExec","type":"go","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","context":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6439,"cache_read_input_tokens":95757,"cache_creation":{"ephemeral_5m_input_tokens":6439,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b7t5WKiozU5nptw7kh","uuid":"4943f452-5595-4151-a6ba-7f1011d0f644"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","timestamp":"2026-03-16T10:19:06.432Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3fd6f3e6-3127-4a03-abcc-ae1bfc60d1d7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MiiSRGfwasnG3PuKjzkPC8","type":"tool_result","content":"\nOutput too large (59.9KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3a41c7a4-abf8-484b-96ae-ee5618eea5ba/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-182-func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-183-\tvar err error\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-184-\ninternal/repository/node.go:185:\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-186-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-187-\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-188-\t\treturn 0, err\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-235-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-236-\tnodeState.NodeID = id\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-237-\ninternal/repository/node.go:238:\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-239-\tif err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-240-\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-241-\t\treturn err\n--\ninternal/repository/node.go-291-\t\t\t\tnode := schema.NodeDB{\ninternal/repository/node.go-292-\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-293-\t\t\t\t}\ninternal/repository/node.go:294:\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go-295-\t\t\t\tif insertErr != nil {\ninternal/repository/node.go-296-\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n...\n"}]},"uuid":"d30021bc-4ee6-4b6e-b76e-08c23a46fd13","timestamp":"2026-03-16T10:19:06.464Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","timestamp":"2026-03-16T10:19:06.465Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"53842970-bfd8-45d9-9db5-c4fd5644003e","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:06.863Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":545,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"311dd5b9-e19e-4a97-aef9-c30a408d6c44"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","timestamp":"2026-03-16T10:19:06.864Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2b5f3bf9-c722-4635-be91-2c9a22ddb906","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LYGKz8XvJ4VHn5vxmxi8mt","type":"tool_result","content":" 545→func (api *RestAPI) tagJob(rw http.ResponseWriter, r *http.Request) {\n 546→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n 547→\tif err != nil {\n 548→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n 549→\t\treturn\n 550→\t}\n 551→\n 552→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n 553→\tif err != nil {\n 554→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 555→\t\treturn\n 556→\t}\n 557→\n 558→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 559→\tif err != nil {\n 560→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n 561→\t\treturn\n 562→\t}\n 563→\n 564→\tvar req TagJobAPIRequest\n 565→\tif err := decode(r.Body, &req); err != nil {\n 566→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 567→\t\treturn\n 568→\t}\n 569→\n 570→\tfor _, tag := range req {\n 571→\t\ttagID, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), *job.ID, tag.Type, tag.Name, tag.Scope)\n 572→\t\tif err != nil {\n 573→\t\t\thandleError(fmt.Errorf(\"adding tag failed: %w\", err), http.StatusInternalServerError, rw)\n 574→\t\t\treturn\n 575→\t\t}\n 576→\n 577→\t\tjob.Tags = append(job.Tags, &schema.Tag{\n 578→\t\t\tID: tagID,\n 579→\t\t\tType: tag.Type,\n 580→\t\t\tName: tag.Name,\n 581→\t\t\tScope: tag.Scope,\n 582→\t\t})\n 583→\t}\n 584→\n 585→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 586→\trw.WriteHeader(http.StatusOK)\n 587→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n 588→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n 589→\t}\n 590→}\n 591→\n 592→// removeTagJob godoc\n 593→// @summary Removes one or more tags from a job\n 594→// @tags Job add and modify\n 595→// @description Removes tag(s) from a job specified by DB ID. Name and Type of Tag(s) must match.\n 596→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n 597→// @description If tagged job is already finished: Tag will be removed from respective archive files.\n 598→// @accept json\n 599→// @produce json\n 600→// @param id path int true \"Job Database ID\"\n 601→// @param request body api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n 602→// @success 200 {object} schema.Job \"Updated job resource\"\n 603→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 604→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 605→// @failure 404 {object} api.ErrorResponse \"Job or tag does not exist\"\n 606→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 607→// @security ApiKeyAuth\n 608→// @router /jobs/tag_job/{id} [delete]\n 609→func (api *RestAPI) removeTagJob(rw http.ResponseWriter, r *http.Request) {\n 610→\tid, err := strconv.ParseInt(chi.URLParam(r, \"id\"), 10, 64)\n 611→\tif err != nil {\n 612→\t\thandleError(fmt.Errorf(\"parsing job ID failed: %w\", err), http.StatusBadRequest, rw)\n 613→\t\treturn\n 614→\t}\n 615→\n 616→\tjob, err := api.JobRepository.FindByID(r.Context(), id)\n 617→\tif err != nil {\n 618→\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 619→\t\treturn\n 620→\t}\n 621→\n 622→\tjob.Tags, err = api.JobRepository.GetTags(repository.GetUserFromContext(r.Context()), job.ID)\n 623→\tif err != nil {\n 624→\t\thandleError(fmt.Errorf(\"getting tags failed: %w\", err), http.StatusInternalServerError, rw)\n 625→\t\treturn\n 626→\t}\n 627→\n 628→\tvar req TagJobAPIRequest\n 629→\tif err := decode(r.Body, &req); err != nil {\n 630→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 631→\t\treturn\n 632→\t}\n 633→\n 634→\tfor _, rtag := range req {\n 635→\t\t// Only Global and Admin Tags\n 636→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n 637→\t\t\tcclog.Warnf(\"Cannot delete private tag for job %d: Skip\", job.JobID)\n 638→\t\t\tcontinue\n 639→\t\t}\n 640→\n 641→\t\tremainingTags, err := api.JobRepository.RemoveJobTagByRequest(repository.GetUserFromContext(r.Context()), *job.ID, rtag.Type, rtag.Name, rtag.Scope)\n 642→\t\tif err != nil {\n 643→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n 644→\t\t\treturn\n 645→\t\t}\n 646→\n 647→\t\tjob.Tags = remainingTags\n 648→\t}\n 649→\n 650→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 651→\trw.WriteHeader(http.StatusOK)\n 652→\tif err := json.NewEncoder(rw).Encode(job); err != nil {\n 653→\t\tcclog.Errorf(\"Failed to encode job response: %v\", err)\n 654→\t}\n 655→}\n 656→\n 657→// removeTags godoc\n 658→// @summary Removes all tags and job-relations for type:name tuple\n 659→// @tags Tag remove\n 660→// @description Removes tags by type and name. Name and Type of Tag(s) must match.\n 661→// @description Tag Scope is required for matching, options: \"global\", \"admin\". Private tags can not be deleted via API.\n 662→// @description Tag wills be removed from respective archive files.\n 663→// @accept json\n 664→// @produce plain\n 665→// @param request body api.TagJobAPIRequest true \"Array of tag-objects to remove\"\n 666→// @success 200 {string} string \"Success Response\"\n 667→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 668→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 669→// @failure 404 {object} api.ErrorResponse \"Job or tag does not exist\"\n 670→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 671→// @security ApiKeyAuth\n 672→// @router /tags/ [delete]\n 673→func (api *RestAPI) removeTags(rw http.ResponseWriter, r *http.Request) {\n 674→\tvar req TagJobAPIRequest\n 675→\tif err := decode(r.Body, &req); err != nil {\n 676→\t\thandleError(fmt.Errorf(\"decoding request failed: %w\", err), http.StatusBadRequest, rw)\n 677→\t\treturn\n 678→\t}\n 679→\n 680→\ttargetCount := len(req)\n 681→\tcurrentCount := 0\n 682→\tfor _, rtag := range req {\n 683→\t\t// Only Global and Admin Tags\n 684→\t\tif rtag.Scope != \"global\" && rtag.Scope != \"admin\" {\n 685→\t\t\tcclog.Warn(\"Cannot delete private tag: Skip\")\n 686→\t\t\tcontinue\n 687→\t\t}\n 688→\n 689→\t\terr := api.JobRepository.RemoveTagByRequest(rtag.Type, rtag.Name, rtag.Scope)\n 690→\t\tif err != nil {\n 691→\t\t\thandleError(fmt.Errorf(\"removing tag failed: %w\", err), http.StatusInternalServerError, rw)\n 692→\t\t\treturn\n 693→\t\t}\n 694→\t\tcurrentCount++"}]},"uuid":"4640341b-02e3-4fc7-9da4-4b8ac5b807c2","timestamp":"2026-03-16T10:19:06.875Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","timestamp":"2026-03-16T10:19:07.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"304b8a57-a0f3-449b-af1f-efae4b9ee82b","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.284Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"0e2319e1-a334-406c-b861-a62b8cc4a2d1"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","timestamp":"2026-03-16T10:19:07.284Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e9d92599-e7a0-4dfd-9cdd-d2f2df72175f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GYNNrKhPhhwkDPePmbnzqP","type":"tool_result","content":" 717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n 718→\treq := schema.Job{\n 719→\t\tShared: \"none\",\n 720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 721→\t}\n 722→\tif err := decode(r.Body, &req); err != nil {\n 723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 724→\t\treturn\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n 728→\treq.State = schema.JobStateRunning\n 729→\n 730→\tif err := importer.SanityChecks(&req); err != nil {\n 731→\t\thandleError(err, http.StatusBadRequest, rw)\n 732→\t\treturn\n 733→\t}\n 734→\n 735→\t// aquire lock to avoid race condition between API calls\n 736→\tvar unlockOnce sync.Once\n 737→\tapi.RepositoryMutex.Lock()\n 738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 739→\n 740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n 741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 742→\tif err != nil && err != sql.ErrNoRows {\n 743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n 744→\t\treturn\n 745→\t}\n 746→\tif err == nil {\n 747→\t\tfor _, job := range jobs {\n 748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n 749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n 751→\t\t\t\treturn\n 752→\t\t\t}\n 753→\t\t}\n 754→\t}\n 755→\n 756→\t// When tags are present, insert directly into the job table so that the\n 757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 758→\t// Jobs without tags use the cache path as before.\n 759→\tvar id int64\n 760→\tif len(req.Tags) > 0 {\n 761→\t\tid, err = api.JobRepository.StartDirect(&req)\n 762→\t} else {\n 763→\t\tid, err = api.JobRepository.Start(&req)\n 764→\t}\n 765→\tif err != nil {\n 766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n 767→\t\treturn\n 768→\t}\n 769→\t// unlock here, adding Tags can be async\n 770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 771→\n 772→\tfor _, tag := range req.Tags {\n 773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n 774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n 775→\t\t\treturn\n 776→\t\t}\n 777→\t}\n 778→\n 779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n 780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 781→\trw.WriteHeader(http.StatusCreated)\n 782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n 783→\t\tMessage: \"success\",\n 784→\t}); err != nil {\n 785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 786→\t}\n 787→}\n 788→\n 789→// stopJobByRequest godoc\n 790→// @summary Marks job as completed and triggers archiving\n 791→// @tags Job add and modify\n 792→// @description Job to stop is specified by request body. All fields are required in this case.\n 793→// @description Returns full job resource information according to 'Job' scheme.\n 794→// @produce json\n 795→// @param request body api.StopJobAPIRequest true \"All fields required\"\n 796→// @success 200 {object} schema.Job \"Success message\"\n 797→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 798→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 799→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 800→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 801→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: job has already been stopped\"\n 802→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 803→// @security ApiKeyAuth\n 804→// @router /api/jobs/stop_job/ [post]\n 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {"}]},"uuid":"d7765e85-64ef-4bf3-b716-26095eaada66","timestamp":"2026-03-16T10:19:07.295Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","timestamp":"2026-03-16T10:19:07.296Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0eee65f7-a69b-4e94-a68a-ac89d15acfd0","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.443Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RfkJoCKpmSkkNoRyqKbSR9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ExpCisrNRq5BUKnBPYePbU","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":551,"cache_read_input_tokens":45041,"cache_creation":{"ephemeral_5m_input_tokens":551,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b84sPbjgj2H6Ltr78S","uuid":"b66e4a22-d59c-4183-b793-e7dc34d3321f"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","timestamp":"2026-03-16T10:19:07.444Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fa2f6f68-d860-4d91-9f2a-6ba0f5ad4477","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ExpCisrNRq5BUKnBPYePbU","type":"tool_result","content":" 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {\n 817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n 818→\t\treturn\n 819→\t}\n 820→\n 821→\tisCached := false\n 822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 823→\tif err != nil {\n 824→\t\t// Not in cache, try main job table\n 825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 826→\t\tif err != nil {\n 827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 828→\t\t\treturn\n 829→\t\t}\n 830→\t} else {\n 831→\t\tisCached = true\n 832→\t}\n 833→\n 834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n 835→}\n 836→\n 837→// deleteJobByID godoc\n 838→// @summary Remove a job from the sql database\n 839→// @tags Job remove\n 840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n 841→// @produce json\n 842→// @param id path int true \"Database ID of Job\"\n 843→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 844→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 845→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 846→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 847→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 848→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 849→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 850→// @security ApiKeyAuth\n 851→// @router /api/jobs/delete_job/{id} [delete]\n 852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n 853→\t// Fetch job (that will be stopped) from db\n 854→\tid := chi.URLParam(r, \"id\")\n 855→\tvar err error\n 856→\tif id != \"\" {\n 857→\t\tid, e := strconv.ParseInt(id, 10, 64)\n 858→\t\tif e != nil {\n 859→\t\t\thandleError(fmt.Errorf(\"integer expected in path for id: %w\", e), http.StatusBadRequest, rw)\n 860→\t\t\treturn\n 861→\t\t}\n 862→\n 863→\t\terr = api.JobRepository.DeleteJobByID(id)\n 864→\t} else {\n 865→\t\thandleError(errors.New(\"the parameter 'id' is required\"), http.StatusBadRequest, rw)\n 866→\t\treturn\n 867→\t}\n 868→\tif err != nil {\n 869→\t\thandleError(fmt.Errorf(\"deleting job failed: %w\", err), http.StatusUnprocessableEntity, rw)\n 870→\t\treturn\n 871→\t}\n 872→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 873→\trw.WriteHeader(http.StatusOK)\n 874→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n 875→\t\tMessage: fmt.Sprintf(\"Successfully deleted job %s\", id),\n 876→\t}); err != nil {\n 877→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 878→\t}\n 879→}\n 880→\n 881→// deleteJobByRequest godoc\n 882→// @summary Remove a job from the sql database\n 883→// @tags Job remove\n 884→// @description Job to delete is specified by request body. All fields are required in this case.\n 885→// @accept json\n 886→// @produce json\n 887→// @param request body api.DeleteJobAPIRequest true \"All fields required\"\n 888→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 889→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 890→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 891→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 892→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 893→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 894→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 895→// @security ApiKeyAuth\n 896→// @router /api/jobs/delete_job/ [delete]\n 897→func (api *RestAPI) deleteJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 898→\t// Parse request body\n 899→\treq := DeleteJobAPIRequest{}\n 900→\tif err := decode(r.Body, &req); err != nil {\n 901→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 902→\t\treturn\n 903→\t}\n 904→"}]},"uuid":"e00c7de5-7f86-4b5f-8f7f-cddb9406d9d7","timestamp":"2026-03-16T10:19:07.464Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"63ba61f9-1114-4898-baad-474edfedd759","timestamp":"2026-03-16T10:19:07.466Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"63ba61f9-1114-4898-baad-474edfedd759","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:07.761Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VVzsEq2zrzmDM8J7qwuDap","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NFnLwMGv6raw9XimgVjK7u","name":"Bash","input":{"command":"grep -n \"func Retention\\|func WALStaging\\|func MemoryUsageTracker\" /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/*.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3050,"cache_read_input_tokens":55679,"cache_creation":{"ephemeral_5m_input_tokens":3050,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b86vup7oxyHhW2vnRt","uuid":"67d9b01c-724f-44cb-878f-46ff14a46fcb"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"0ebede23-3d49-4e70-aaf0-e517019d2c6f","timestamp":"2026-03-16T10:19:07.762Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0ebede23-3d49-4e70-aaf0-e517019d2c6f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NFnLwMGv6raw9XimgVjK7u","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:320:func Retention(wg *sync.WaitGroup, ctx context.Context) {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go:383:func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go:118:func WALStaging(wg *sync.WaitGroup, ctx context.Context) {","is_error":false}]},"uuid":"dbef6f9e-107f-4e18-ba1d-c1505e9dda3c","timestamp":"2026-03-16T10:19:07.825Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"3cf573ef-8967-471a-b143-7756ae901828","timestamp":"2026-03-16T10:19:07.825Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"8906c93f-4756-4ed1-9db1-3a07f271140c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Qpf28zLY44uQaMyphVp5G","type":"tool_result","content":"internal/repository/job.go-192-\t\treturn fmt.Errorf(\"failed to optimize database: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-193-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-194-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-195-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-196-\ninternal/repository/job.go:197:// Flush removes all data from job-related tables (jobtag, tag, job).\ninternal/repository/job.go-198-/ WARNING: This is a destructive operation that deletes all job data.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-199-// Use with extreme caution, typically only for testing or complete resets.\ninternal/repository/job.go:200:func (r *JobRepository) Flush() error {\ninternal/repository/job.go-201-\tif _, err := r.DB.Exec(`DELETE FROM jobtag`); err != nil {\ninternal/repository/job.go-202-\t\tcclog.Errorf(\"Error while deleting from jobtag table: %v\", err)\ninternal/repository/job.go-203-\t\treturn fmt.Errorf(\"failed to flush jobtag table: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-204-\t}\ninternal/repository/job.go-205-\tif _, err := r.DB.Exec(`DELETE FROM tag`); err != nil {\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-253-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-254-\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-255-\treturn job.MetaData, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-256-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-257-\ninternal/repository/job.go:258:// UpdateMetadata adds or updates a single metadata key-value pair for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-259-// The entire metadata map is re-marshaled and stored, and the cache is invalidated.\ninternal/repository/job.go:260:// Also triggers archive metadata update via archive.UpdateMetadata.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-261-//\ninternal/repository/job.go-262-/ Parameters:\ninternal/repository/job.go-263-/ - job: Job struct with valid ID, existing metadata will be fetched if not present\ninternal/repository/job.go-264-/ - key: Metadata key to set\ninternal/repository/job.go-265-/ - val: Metadata value to set\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-266-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-267-// Returns an error if the job is nil, metadata fetch fails, or database update fails.\ninternal/repository/job.go:268:func (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-269-\tif job == nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-270-\t\treturn fmt.Errorf(\"job cannot be nil\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-271-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-272-\ninternal/repository/job.go-273-\tcachekey := fmt.Sprintf(\"metadata:%d\", *job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-300-\t\tcclog.Warnf(\"Error while updating metadata for job, DB ID '%v'\", *job.ID)\ninternal/repository/job.go-301-\t\treturn fmt.Errorf(\"failed to update metadata in database for job %d: %w\", *job.ID, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-302-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-303-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-304-\tr.cache.Put(cachekey, job.MetaData, len(job.RawMetaData), 24*time.Hour)\ninternal/repository/job.go:305:\treturn archive.UpdateMetadata(job, job.MetaData)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-306-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-307-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-308-// FetchFootprint retrieves and unmarshals the performance footprint JSON for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-309-// Unlike FetchMetadata, footprints are NOT cached as they can be large and change frequently.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-310-//\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-381-\tr.cache.Put(cachekey, job.EnergyFootprint, len(job.EnergyFootprint), 24*time.Hour)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-382-\tcclog.Debugf(\"Timer FetchEnergyFootprint %s\", time.Since(start))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-383-\treturn job.EnergyFootprint, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-384-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-385-\ninternal/repository/job.go:386:// DeleteJobsBefore removes jobs older than the specified start time.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-387-// Optionally preserves tagged jobs to protect important data from deletion.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-388-// Cache entries for deleted jobs are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-389-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-390-// This is typically used for data retention policies and cleanup operations.\ninternal/repository/job.go-391-/ WARNING: This is a destructive operation that permanently deletes job records.\n--\ninternal/repository/job.go-394-/ - startTime: Unix timestamp, jobs with start_time < this value will be deleted\ninternal/repository/job.go-395-/ - omitTagged: \"none\" = delete all jobs, \"all\" = skip any tagged jobs,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-396-// \"user\" = skip jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-397-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-398-// Returns the count of deleted jobs or an error if the operation fails.\ninternal/repository/job.go:399:func (r *JobRepository) DeleteJobsBefore(startTime int64, omitTagged string) (int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-451-\t}\ninternal/repository/job.go-452-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-453-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-454-\tif err != nil {\ninternal/repository/job.go-455-\t\ts, _, _ := qd.ToSql()\ninternal/repository/job.go:456:\t\tcclog.Errorf(\" DeleteJobsBefore(%d) with %s: error %#v\", startTime, s, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-457-\t} else {\ninternal/repository/job.go:458:\t\tcclog.Debugf(\"DeleteJobsBefore(%d): Deleted %d jobs\", startTime, cnt)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-459-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-460-\treturn cnt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-461-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-462-\ninternal/repository/job.go:463:// DeleteJobByID permanently removes a single job by its database ID.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-464-// Cache entries for the deleted job are automatically invalidated.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-465-//\ninternal/repository/job.go-466-/ Parameters:\ninternal/repository/job.go-467-/ - id: Database ID (primary key) of the job to delete\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-468-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-469-// Returns an error if the deletion fails.\ninternal/repository/job.go:470:func (r *JobRepository) DeleteJobByID(id int64) error {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-471-\t// Invalidate cache entries before deletion\ninternal/repository/job.go-472-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", id))\ninternal/repository/job.go-473-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", id))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-474-\ninternal/repository/job.go-475-\tqd := sq.Delete(\"job\").Where(\"job.id = ?\", id)\ninternal/repository/job.go-476-\t_, err := qd.RunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-477-\n\n[Showing results with pagination = limit: 100, offset: 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+{"parentUuid":"cc2fbd65-7f66-4b04-a1e4-2904a32db284","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NdeBas8R1dYs6xyiYPL8nD","type":"tool_result","content":" 320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n 321→\tms := GetMemoryStore()\n 322→\n 323→\twg.Go(func() {\n 324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 325→\t\tif err != nil {\n 326→\t\t\tcclog.Fatal(err)\n 327→\t\t}\n 328→\t\tif d <= 0 {\n 329→\t\t\treturn\n 330→\t\t}\n 331→\n 332→\t\ttickInterval := d / 2\n 333→\t\tif tickInterval <= 0 {\n 334→\t\t\treturn\n 335→\t\t}\n 336→\t\tticker := time.NewTicker(tickInterval)\n 337→\t\tdefer ticker.Stop()\n 338→\n 339→\t\tfor {\n 340→\t\t\tselect {\n 341→\t\t\tcase <-ctx.Done():\n 342→\t\t\t\treturn\n 343→\t\t\tcase <-ticker.C:\n 344→\t\t\t\tstate.mu.Lock()\n 345→\n 346→\t\t\t\tt := time.Now().Add(-d)\n 347→\n 348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n 349→\n 350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n 351→\n 352→\t\t\t\tfreed, err := Free(ms, t)\n 353→\t\t\t\tif err != nil {\n 354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n 355→\t\t\t\t} else {\n 356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n 357→\t\t\t\t}\n 358→\n 359→\t\t\t\tstate.mu.Unlock()\n 360→\n 361→\t\t\t\t// Clean up the buffer pool\n 362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n 363→\t\t\t}\n 364→\t\t}\n 365→\t})\n 366→}\n 367→\n 368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n 369→//\n 370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n 371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n 372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n 373→// performance issues.\n 374→//\n 375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n 376→// visibility into memory overhead from Go runtime structures and allocations.\n 377→//\n 378→// Parameters:\n 379→// - wg: WaitGroup to signal completion when context is cancelled\n 380→// - ctx: Context for cancellation signal\n 381→//\n 382→// The goroutine exits when ctx is cancelled.\n 383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n 384→\tms := GetMemoryStore()\n 385→\n 386→\twg.Go(func() {\n 387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n 388→\t\tfastInterval := 30 * time.Second\n 389→\n 390→\t\tif normalInterval <= 0 {\n 391→\t\t\treturn\n 392→\t\t}\n 393→\n 394→\t\tticker := time.NewTicker(normalInterval)\n 395→\t\tdefer ticker.Stop()\n 396→\t\tcurrentInterval := normalInterval\n 397→\n 398→\t\tfor {\n 399→\t\t\tselect {\n 400→\t\t\tcase <-ctx.Done():\n 401→\t\t\t\treturn\n 402→\t\t\tcase <-ticker.C:\n 403→\t\t\t\tvar mem runtime.MemStats\n 404→\t\t\t\truntime.ReadMemStats(&mem)\n 405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 408→\n 409→\t\t\t\tfreedExcluded := 0\n 410→\t\t\t\tfreedEmergency := 0\n 411→\t\t\t\tvar err error\n 412→\n 413→\t\t\t\tstate.mu.RLock()\n 414→\t\t\t\tlastRetention := state.lastRetentionTime\n 415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 416→\t\t\t\tstate.mu.RUnlock()\n 417→\n 418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)"}]},"uuid":"5b4c35c0-fc01-4022-a011-013b32741288","timestamp":"2026-03-16T10:19:09.204Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"364641d9-347b-41a2-a9db-960427401ea3","timestamp":"2026-03-16T10:19:09.403Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"364641d9-347b-41a2-a9db-960427401ea3","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:09.618Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Wb4dkjYd4jwne2EgDyvMHQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDMqedPDw7gCBUtiqc5Kwq","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","offset":383,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":58729,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8Es9pmtCHDiNfBQfT","uuid":"68992642-791f-465b-a8aa-3025b7bb3643"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","timestamp":"2026-03-16T10:19:09.618Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d2f5045b-6c97-44d5-8087-6b59bd23895a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HN9rNbdVCqsrRSEUmmGm2d","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→\t\"golang.org/x/sync/errgroup\"\n 59→)\n 60→\n 61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 64→var groupBy2column = map[model.Aggregate]string{\n 65→\tmodel.AggregateUser: \"job.hpc_user\",\n 66→\tmodel.AggregateProject: \"job.project\",\n 67→\tmodel.AggregateCluster: \"job.cluster\",\n 68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 69→}\n 70→\n 71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 73→// Column names match the AS aliases used in buildStatsQuery.\n 74→var sortBy2column = map[model.SortByAggregate]string{\n 75→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 76→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 77→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 78→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 80→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 82→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 83→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 84→}\n 85→\n 86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 87→//\n 88→// Parameters:\n 89→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 90→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 91→// - col: Column name to GROUP BY; empty string for total count without grouping\n 92→//\n 93→// Returns a SelectBuilder that produces either:\n 94→// - Single count: COUNT(job.id) when col is empty\n 95→// - Grouped counts: col, COUNT(job.id) when col is specified\n 96→//\n 97→// The kind parameter enables counting specific job categories:\n 98→// - \"running\": Only jobs with job_state = 'running'\n 99→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 100→// - empty: All jobs matching filters\n 101→func (r *JobRepository) buildCountQuery(\n 102→\tfilter []*model.JobFilter,\n 103→\tkind string,\n 104→\tcol string,\n 105→) sq.SelectBuilder {\n 106→\tvar query sq.SelectBuilder\n 107→\n 108→\tif col != \"\" {\n 109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 110→\t} else {\n 111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 112→\t}\n 113→\n 114→\tswitch kind {\n 115→\tcase \"running\":\n 116→\t\tquery = query.Where(\"job.job_state = 'running'\")\n 117→\tcase \"short\":\n 118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 119→\t}\n 120→\n 121→\tfor _, f := range filter {\n 122→\t\tquery = BuildWhereClause(f, query)\n 123→\t}\n 124→\n 125→\treturn query\n 126→}\n 127→\n 128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 130→//\n 131→// Parameters:\n 132→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 133→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 134→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 135→// - reqFields: Set of requested field names; nil means compute all fields\n 136→func (r *JobRepository) buildStatsQuery(\n 137→\tfilter []*model.JobFilter,\n 138→\tcol string,\n 139→\tshortThreshold int,\n 140→\treqFields map[string]bool,\n 141→) sq.SelectBuilder {\n 142→\tnow := time.Now().Unix()\n 143→\n 144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 145→\tneed := func(field string) bool {\n 146→\t\treturn reqFields == nil || reqFields[field]\n 147→\t}\n 148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 149→\n 150→\t// Build column list\n 151→\tcolumns := make([]string, 0, 14)\n 152→\n 153→\tif col != \"\" {\n 154→\t\tcolumns = append(columns, col)\n 155→\t}\n 156→\n 157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 158→\n 159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 161→\t} else {\n 162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 163→\t}\n 164→\n 165→\tif need(\"totalWalltime\") {\n 166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 167→\t} else {\n 168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 169→\t}\n 170→\n 171→\tif need(\"totalNodes\") {\n 172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 173→\t} else {\n 174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 175→\t}\n 176→\n 177→\tif need(\"totalNodeHours\") {\n 178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 179→\t} else {\n 180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 181→\t}\n 182→\n 183→\tif need(\"totalCores\") {\n 184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 185→\t} else {\n 186→\t\tcolumns = append(columns, \"0 as totalCores\")\n 187→\t}\n 188→\n 189→\tif need(\"totalCoreHours\") {\n 190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 191→\t} else {\n 192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 193→\t}\n 194→\n 195→\tif need(\"totalAccs\") {\n 196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 197→\t} else {\n 198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 199→\t}\n 200→\n 201→\tif need(\"totalAccHours\") {\n 202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 203→\t} else {\n 204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 205→\t}\n 206→\n 207→\tif need(\"runningJobs\") {\n 208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 209→\t} else {\n 210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 211→\t}\n 212→\n 213→\tif need(\"shortJobs\") {\n 214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 215→\t} else {\n 216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 217→\t}\n 218→\n 219→\tquery := sq.Select(columns...).From(\"job\")\n 220→\tif col != \"\" {\n 221→\t\tquery = query.GroupBy(col)\n 222→\t}\n 223→\n 224→\tfor _, f := range filter {\n 225→\t\tquery = BuildWhereClause(f, query)\n 226→\t}\n 227→\n 228→\treturn query\n 229→}\n 230→\n 231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 234→func (r *JobRepository) JobsStatsGrouped(\n 235→\tctx context.Context,\n 236→\tfilter []*model.JobFilter,\n 237→\tpage *model.PageRequest,\n 238→\tsortBy *model.SortByAggregate,\n 239→\tgroupBy *model.Aggregate,\n 240→\treqFields map[string]bool,\n 241→) ([]*model.JobsStatistics, error) {\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\treturn stats, nil\n 329→}\n 330→\n 331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 332→//\n 333→// This method provides a single aggregate view of job metrics, useful for dashboard\n 334→// summaries and overall system utilization reports.\n 335→//\n 336→// Parameters:\n 337→// - ctx: Context for security checks and cancellation\n 338→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 339→//\n 340→// Returns a single-element slice containing aggregate statistics:\n 341→// - totalJobs, totalUsers, totalWalltime\n 342→// - totalNodeHours, totalCoreHours, totalAccHours\n 343→//\n 344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 345→// Security checks are applied via SecurityCheck to respect user access levels.\n 346→func (r *JobRepository) JobsStats(\n 347→\tctx context.Context,\n 348→\tfilter []*model.JobFilter,\n 349→\treqFields map[string]bool,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 388→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 389→\t\t\t})\n 390→\t}\n 391→\n 392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 393→\treturn stats, nil\n 394→}\n 395→\n 396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 397→// Returns 0.0 if the metric is not found or statType is invalid.\n 398→//\n 399→// Parameters:\n 400→// - job: Job struct with populated Statistics field\n 401→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 402→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 403→//\n 404→// Returns the requested statistic value or 0.0 if not found.\n 405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 406→\tif stats, ok := job.Statistics[metric]; ok {\n 407→\t\tswitch statType {\n 408→\t\tcase \"avg\":\n 409→\t\t\treturn stats.Avg\n 410→\t\tcase \"max\":\n 411→\t\t\treturn stats.Max\n 412→\t\tcase \"min\":\n 413→\t\t\treturn stats.Min\n 414→\t\tdefault:\n 415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 416→\t\t}\n 417→\t}\n 418→\n 419→\treturn 0.0\n 420→}\n 421→\n 422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 423→//\n 424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 425→// avoiding the overhead of calculating walltime and resource usage metrics.\n 426→//\n 427→// Parameters:\n 428→// - ctx: Context for security checks\n 429→// - filter: Filters to apply\n 430→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 431→//\n 432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 433→func (r *JobRepository) JobCountGrouped(\n 434→\tctx context.Context,\n 435→\tfilter []*model.JobFilter,\n 436→\tgroupBy *model.Aggregate,\n 437→) ([]*model.JobsStatistics, error) {\n 438→\tstart := time.Now()\n 439→\tcol := groupBy2column[*groupBy]\n 440→\tquery := r.buildCountQuery(filter, \"\", col)\n 441→\tquery, err := SecurityCheck(ctx, query)\n 442→\tif err != nil {\n 443→\t\treturn nil, err\n 444→\t}\n 445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 446→\tif err != nil {\n 447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 448→\t\treturn nil, err\n 449→\t}\n 450→\tdefer rows.Close()\n 451→\n 452→\tstats := make([]*model.JobsStatistics, 0, 100)\n 453→\n 454→\tfor rows.Next() {\n 455→\t\tvar id sql.NullString\n 456→\t\tvar cnt sql.NullInt64\n 457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 459→\t\t\treturn nil, err\n 460→\t\t}\n 461→\t\tif id.Valid {\n 462→\t\t\tstats = append(stats,\n 463→\t\t\t\t&model.JobsStatistics{\n 464→\t\t\t\t\tID: id.String,\n 465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 466→\t\t\t\t})\n 467→\t\t}\n 468→\t}\n 469→\n 470→\tif err := rows.Err(); err != nil {\n 471→\t\treturn nil, err\n 472→\t}\n 473→\n 474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 475→\treturn stats, nil\n 476→}\n 477→\n 478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 479→//\n 480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 482→//\n 483→// Parameters:\n 484→// - ctx: Context for security checks\n 485→// - filter: Filters to apply\n 486→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 487→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 488→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 489→//\n 490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 491→// Groups without matching jobs will have 0 for the added field.\n 492→func (r *JobRepository) AddJobCountGrouped(\n 493→\tctx context.Context,\n 494→\tfilter []*model.JobFilter,\n 495→\tgroupBy *model.Aggregate,\n 496→\tstats []*model.JobsStatistics,\n 497→\tkind string,\n 498→) ([]*model.JobsStatistics, error) {\n 499→\tstart := time.Now()\n 500→\tcol := groupBy2column[*groupBy]\n 501→\tquery := r.buildCountQuery(filter, kind, col)\n 502→\tquery, err := SecurityCheck(ctx, query)\n 503→\tif err != nil {\n 504→\t\treturn nil, err\n 505→\t}\n 506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 507→\tif err != nil {\n 508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 509→\t\treturn nil, err\n 510→\t}\n 511→\tdefer rows.Close()\n 512→\n 513→\tcounts := make(map[string]int)\n 514→\n 515→\tfor rows.Next() {\n 516→\t\tvar id sql.NullString\n 517→\t\tvar cnt sql.NullInt64\n 518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\tif id.Valid {\n 523→\t\t\tcounts[id.String] = int(cnt.Int64)\n 524→\t\t}\n 525→\t}\n 526→\n 527→\tif err := rows.Err(); err != nil {\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tswitch kind {\n 532→\tcase \"running\":\n 533→\t\tfor _, s := range stats {\n 534→\t\t\ts.RunningJobs = counts[s.ID]\n 535→\t\t}\n 536→\tcase \"short\":\n 537→\t\tfor _, s := range stats {\n 538→\t\t\ts.ShortJobs = counts[s.ID]\n 539→\t\t}\n 540→\t}\n 541→\n 542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 543→\treturn stats, nil\n 544→}\n 545→\n 546→// AddJobCount augments existing overall statistics with additional job counts by category.\n 547→//\n 548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 549→// to all statistics entries (typically just one).\n 550→//\n 551→// Parameters:\n 552→// - ctx: Context for security checks\n 553→// - filter: Filters to apply\n 554→// - stats: Existing statistics to augment (modified in-place)\n 555→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 556→//\n 557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 558→func (r *JobRepository) AddJobCount(\n 559→\tctx context.Context,\n 560→\tfilter []*model.JobFilter,\n 561→\tstats []*model.JobsStatistics,\n 562→\tkind string,\n 563→) ([]*model.JobsStatistics, error) {\n 564→\tstart := time.Now()\n 565→\tquery := r.buildCountQuery(filter, kind, \"\")\n 566→\tquery, err := SecurityCheck(ctx, query)\n 567→\tif err != nil {\n 568→\t\treturn nil, err\n 569→\t}\n 570→\tvar cnt sql.NullInt64\n 571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 573→\t\treturn nil, err\n 574→\t}\n 575→\n 576→\tcount := int(cnt.Int64)\n 577→\n 578→\tswitch kind {\n 579→\tcase \"running\":\n 580→\t\tfor _, s := range stats {\n 581→\t\t\ts.RunningJobs = count\n 582→\t\t}\n 583→\tcase \"short\":\n 584→\t\tfor _, s := range stats {\n 585→\t\t\ts.ShortJobs = count\n 586→\t\t}\n 587→\t}\n 588→\n 589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 590→\treturn stats, nil\n 591→}\n 592→\n 593→// AddHistograms augments statistics with distribution histograms for job properties.\n 594→//\n 595→// Generates histogram data for visualization of job duration, node count, core count,\n 596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 597→// on the requested resolution.\n 598→//\n 599→// Parameters:\n 600→// - ctx: Context for security checks\n 601→// - filter: Filters to apply to jobs included in histograms\n 602→// - stat: Statistics struct to augment (modified in-place)\n 603→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 604→//\n 605→// Populates these fields in stat:\n 606→// - HistDuration: Job duration distribution (zero-padded bins)\n 607→// - HistNumNodes: Node count distribution\n 608→// - HistNumCores: Core (hwthread) count distribution\n 609→// - HistNumAccs: Accelerator count distribution\n 610→//\n 611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 613→func (r *JobRepository) AddHistograms(\n 614→\tctx context.Context,\n 615→\tfilter []*model.JobFilter,\n 616→\tstat *model.JobsStatistics,\n 617→\tdurationBins *string,\n 618→) (*model.JobsStatistics, error) {\n 619→\tstart := time.Now()\n 620→\n 621→\tvar targetBinCount int\n 622→\tvar targetBinSize int\n 623→\tswitch *durationBins {\n 624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 625→\t\ttargetBinCount = 60\n 626→\t\ttargetBinSize = 60\n 627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 628→\t\ttargetBinCount = 72\n 629→\t\ttargetBinSize = 600\n 630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 631→\t\ttargetBinCount = 48\n 632→\t\ttargetBinSize = 3600\n 633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 634→\t\ttargetBinCount = 12\n 635→\t\ttargetBinSize = 21600\n 636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 637→\t\ttargetBinCount = 14\n 638→\t\ttargetBinSize = 43200\n 639→\tdefault: // 24h\n 640→\t\ttargetBinCount = 24\n 641→\t\ttargetBinSize = 3600\n 642→\t}\n 643→\n 644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n 645→\tg, gctx := errgroup.WithContext(ctx)\n 646→\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\n 649→\tg.Go(func() error {\n 650→\t\tvar err error\n 651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n 652→\t\tif err != nil {\n 653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 654→\t\t}\n 655→\t\treturn err\n 656→\t})\n 657→\tg.Go(func() error {\n 658→\t\tvar err error\n 659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n 660→\t\tif err != nil {\n 661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 662→\t\t}\n 663→\t\treturn err\n 664→\t})\n 665→\tg.Go(func() error {\n 666→\t\tvar err error\n 667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n 668→\t\tif err != nil {\n 669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 670→\t\t}\n 671→\t\treturn err\n 672→\t})\n 673→\tg.Go(func() error {\n 674→\t\tvar err error\n 675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n 676→\t\tif err != nil {\n 677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 678→\t\t}\n 679→\t\treturn err\n 680→\t})\n 681→\n 682→\tif err := g.Wait(); err != nil {\n 683→\t\treturn nil, err\n 684→\t}\n 685→\n 686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 687→\treturn stat, nil\n 688→}\n 689→\n 690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 691→//\n 692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 694→// use footprint data from database.\n 695→//\n 696→// Parameters:\n 697→// - ctx: Context for security checks\n 698→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 699→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 700→// - stat: Statistics struct to augment (modified in-place)\n 701→// - targetBinCount: Number of histogram bins (default: 10)\n 702→//\n 703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 704→//\n 705→// Binning algorithm:\n 706→// - Values normalized to metric's peak value from cluster configuration\n 707→// - Bins evenly distributed from 0 to peak\n 708→// - Pre-initialized with zeros for consistent visualization\n 709→//\n 710→// Limitations:\n 711→// - Running jobs: Limited to 5000 jobs for performance\n 712→// - Requires valid cluster configuration with metric peak values\n 713→// - Uses footprint statistic (avg/max/min) configured per metric\n 714→func (r *JobRepository) AddMetricHistograms(\n 715→\tctx context.Context,\n 716→\tfilter []*model.JobFilter,\n 717→\tmetrics []string,\n 718→\tstat *model.JobsStatistics,\n 719→\ttargetBinCount *int,\n 720→) (*model.JobsStatistics, error) {\n 721→\tstart := time.Now()\n 722→\n 723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 724→\tfor _, f := range filter {\n 725→\t\tif f.State != nil {\n 726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\t\t\t\treturn stat, nil\n 730→\t\t\t}\n 731→\t\t}\n 732→\t}\n 733→\n 734→\t// All other cases: Query and make bins in sqlite directly\n 735→\tfor _, m := range metrics {\n 736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 737→\t\tif err != nil {\n 738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 739→\t\t\tcontinue\n 740→\t\t}\n 741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 742→\t}\n 743→\n 744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 745→\treturn stat, nil\n 746→}\n 747→\n 748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 749→//\n 750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 752→//\n 753→// Parameters:\n 754→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 755→// - filters: Job filters to apply\n 756→//\n 757→// Returns histogram points with Value (from column) and Count (number of jobs).\n 758→func (r *JobRepository) jobsStatisticsHistogram(\n 759→\tctx context.Context,\n 760→\tvalue string,\n 761→\tfilters []*model.JobFilter,\n 762→) ([]*model.HistoPoint, error) {\n 763→\tstart := time.Now()\n 764→\tquery, qerr := SecurityCheck(ctx,\n 765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 766→\n 767→\tif qerr != nil {\n 768→\t\treturn nil, qerr\n 769→\t}\n 770→\n 771→\tfor _, f := range filters {\n 772→\t\tquery = BuildWhereClause(f, query)\n 773→\t}\n 774→\n 775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 776→\tif err != nil {\n 777→\t\tcclog.Error(\"Error while running query\")\n 778→\t\treturn nil, err\n 779→\t}\n 780→\tdefer rows.Close()\n 781→\n 782→\tpoints := make([]*model.HistoPoint, 0)\n 783→\t// is it possible to introduce zero values here? requires info about bincount\n 784→\tfor rows.Next() {\n 785→\t\tpoint := model.HistoPoint{}\n 786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 788→\t\t\treturn nil, err\n 789→\t\t}\n 790→\n 791→\t\tpoints = append(points, &point)\n 792→\t}\n 793→\n 794→\tif err := rows.Err(); err != nil {\n 795→\t\treturn nil, err\n 796→\t}\n 797→\n 798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 799→\treturn points, nil\n 800→}\n 801→\n 802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 803→//\n 804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 805→// histograms which only return bins with data. The value parameter should compute\n 806→// the bin number from job duration.\n 807→//\n 808→// Parameters:\n 809→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 810→// - filters: Job filters to apply\n 811→// - binSizeSeconds: Width of each bin in seconds\n 812→// - targetBinCount: Number of bins to pre-initialize\n 813→//\n 814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 816→//\n 817→// Algorithm:\n 818→// 1. Pre-initialize targetBinCount bins with zero counts\n 819→// 2. Query database for actual counts per bin\n 820→// 3. Match query results to pre-initialized bins by value\n 821→// 4. Bins without matches remain at zero\n 822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 823→\tctx context.Context,\n 824→\tvalue string,\n 825→\tfilters []*model.JobFilter,\n 826→\tbinSizeSeconds int,\n 827→\ttargetBinCount *int,\n 828→) ([]*model.HistoPoint, error) {\n 829→\tstart := time.Now()\n 830→\tquery, qerr := SecurityCheck(ctx,\n 831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 832→\n 833→\tif qerr != nil {\n 834→\t\treturn nil, qerr\n 835→\t}\n 836→\n 837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 840→\tfor i := 1; i <= *targetBinCount; i++ {\n 841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 842→\t\tpoints = append(points, &point)\n 843→\t}\n 844→\n 845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 846→\tbinMap := make(map[int]int, len(points))\n 847→\tfor i, p := range points {\n 848→\t\tbinMap[p.Value] = i\n 849→\t}\n 850→\n 851→\tfor _, f := range filters {\n 852→\t\tquery = BuildWhereClause(f, query)\n 853→\t}\n 854→\n 855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 856→\tif err != nil {\n 857→\t\tcclog.Error(\"Error while running query\")\n 858→\t\treturn nil, err\n 859→\t}\n 860→\tdefer rows.Close()\n 861→\n 862→\t// Match query results to pre-initialized bins using map lookup.\n 863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 864→\tfor rows.Next() {\n 865→\t\tpoint := model.HistoPoint{}\n 866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 868→\t\t\treturn nil, err\n 869→\t\t}\n 870→\n 871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 872→\t\t\tpoints[idx].Count = point.Count\n 873→\t\t}\n 874→\t}\n 875→\n 876→\tif err := rows.Err(); err != nil {\n 877→\t\treturn nil, err\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 881→\treturn points, nil\n 882→}\n 883→\n 884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 885→//\n 886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 888→// and computing bin assignments in SQL.\n 889→//\n 890→// Parameters:\n 891→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 892→// - filters: Job filters to apply\n 893→// - bins: Number of bins to generate\n 894→//\n 895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 896→//\n 897→// Algorithm:\n 898→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 899→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 900→// 3. Pre-initialize bins with min/max ranges based on peak value\n 901→// 4. Query database for counts per bin\n 902→// 5. Match results to pre-initialized bins\n 903→//\n 904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 905→// peak by 0.999999999 to avoid creating an extra bin.\n 906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 907→\tctx context.Context,\n 908→\tmetric string,\n 909→\tfilters []*model.JobFilter,\n 910→\tbins *int,\n 911→) (*model.MetricHistoPoints, error) {\n 912→\t// Peak value defines the upper bound for binning: values are distributed across\n 913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 914→\t// scan all clusters to find the maximum peak value.\n 915→\tvar metricConfig *schema.MetricConfig\n 916→\tvar peak float64\n 917→\tvar unit string\n 918→\tvar footprintStat string\n 919→\n 920→\t// Try to get metric config from filtered cluster\n 921→\tfor _, f := range filters {\n 922→\t\tif f.Cluster != nil {\n 923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 924→\t\t\tpeak = metricConfig.Peak\n 925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 926→\t\t\tfootprintStat = metricConfig.Footprint\n 927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 932→\t// This ensures histogram can accommodate all possible values\n 933→\tif peak == 0.0 {\n 934→\t\tfor _, c := range archive.Clusters {\n 935→\t\t\tfor _, m := range c.MetricConfig {\n 936→\t\t\t\tif m.Name == metric {\n 937→\t\t\t\t\tif m.Peak > peak {\n 938→\t\t\t\t\t\tpeak = m.Peak\n 939→\t\t\t\t\t}\n 940→\t\t\t\t\tif unit == \"\" {\n 941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 942→\t\t\t\t\t}\n 943→\t\t\t\t\tif footprintStat == \"\" {\n 944→\t\t\t\t\t\tfootprintStat = m.Footprint\n 945→\t\t\t\t\t}\n 946→\t\t\t\t}\n 947→\t\t\t}\n 948→\t\t}\n 949→\t}\n 950→\n 951→\t// Construct SQL histogram bins using normalized values.\n 952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 953→\tstart := time.Now()\n 954→\n 955→\t// Bin calculation formula:\n 956→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 957→\t// Special case: value == peak would create bin N+1, so we test for equality\n 958→\t// and multiply peak by 0.999999999 to force it into bin N.\n 959→\tbinQuery := fmt.Sprintf(`CAST(\n 960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 961→\t\t* %v as INTEGER )`,\n 962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 963→\n 964→\tmainQuery := sq.Select(\n 965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 966→\t\t`count(*) as count`,\n 967→\t).From(\"job\").Where(\n 968→\t\t\"JSON_VALID(footprint)\",\n 969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 970→\n 971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 972→\tif qerr != nil {\n 973→\t\treturn nil, qerr\n 974→\t}\n 975→\n 976→\tfor _, f := range filters {\n 977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 978→\t}\n 979→\n 980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 981→\n 982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 983→\tif err != nil {\n 984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 985→\t\treturn nil, err\n 986→\t}\n 987→\tdefer rows.Close()\n 988→\n 989→\t// Pre-initialize bins with calculated min/max ranges.\n 990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 992→\tbinStep := int(peak) / *bins\n 993→\tfor i := 1; i <= *bins; i++ {\n 994→\t\tbinMin := (binStep * (i - 1))\n 995→\t\tbinMax := (binStep * i)\n 996→\t\tidx := i\n 997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 998→\t\tpoints = append(points, &epoint)\n 999→\t}\n 1000→\n 1001→\t// Build a map from bin number to slice index for O(1) lookup.\n 1002→\tbinMap := make(map[int]int, len(points))\n 1003→\tfor i, p := range points {\n 1004→\t\tif p.Bin != nil {\n 1005→\t\t\tbinMap[*p.Bin] = i\n 1006→\t\t}\n 1007→\t}\n 1008→\n 1009→\t// Match query results to pre-initialized bins using map lookup.\n 1010→\tfor rows.Next() {\n 1011→\t\trpoint := model.MetricHistoPoint{}\n 1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1014→\t\t\treturn nil, err\n 1015→\t\t}\n 1016→\n 1017→\t\tif rpoint.Bin != nil {\n 1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1020→\t\t\t}\n 1021→\t\t}\n 1022→\t}\n 1023→\n 1024→\tif err := rows.Err(); err != nil {\n 1025→\t\treturn nil, err\n 1026→\t}\n 1027→\n 1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1029→\n 1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1031→\treturn &result, nil\n 1032→}\n 1033→\n 1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1035→//\n 1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1037→// fetching current metric averages from the metric backend (via metricdispatch).\n 1038→//\n 1039→// Parameters:\n 1040→// - metrics: List of metric names\n 1041→// - filters: Job filters (should filter to running jobs only)\n 1042→// - bins: Number of histogram bins\n 1043→//\n 1044→// Returns slice of MetricHistoPoints, one per metric.\n 1045→//\n 1046→// Limitations:\n 1047→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1048→// - Requires metric backend availability\n 1049→// - Bins based on metric peak values from cluster configuration\n 1050→//\n 1051→// Algorithm:\n 1052→// 1. Query first 5001 jobs to check count limit\n 1053→// 2. Load metric averages for all jobs via metricdispatch\n 1054→// 3. For each metric, create bins based on peak value\n 1055→// 4. Iterate averages and count jobs per bin\n 1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1057→\tctx context.Context,\n 1058→\tmetrics []string,\n 1059→\tfilters []*model.JobFilter,\n 1060→\tbins *int,\n 1061→) []*model.MetricHistoPoints {\n 1062→\t// Get Jobs\n 1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1064→\tif err != nil {\n 1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1066→\t\treturn nil\n 1067→\t}\n 1068→\tif len(jobs) > 5000 {\n 1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1070→\t\treturn nil\n 1071→\t}\n 1072→\n 1073→\t// Get AVGs from metric repo\n 1074→\tavgs := make([][]schema.Float, len(metrics))\n 1075→\tfor i := range avgs {\n 1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1077→\t}\n 1078→\n 1079→\tfor _, job := range jobs {\n 1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1081→\t\t\tcontinue\n 1082→\t\t}\n 1083→\n 1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1086→\t\t\treturn nil\n 1087→\t\t}\n 1088→\t}\n 1089→\n 1090→\t// Iterate metrics to fill endresult\n 1091→\tdata := make([]*model.MetricHistoPoints, 0)\n 1092→\tfor idx, metric := range metrics {\n 1093→\t\t// Get specific Peak or largest Peak\n 1094→\t\tvar metricConfig *schema.MetricConfig\n 1095→\t\tvar peak float64\n 1096→\t\tvar unit string\n 1097→\n 1098→\t\tfor _, f := range filters {\n 1099→\t\t\tif f.Cluster != nil {\n 1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1101→\t\t\t\tpeak = metricConfig.Peak\n 1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1103→\t\t\t}\n 1104→\t\t}\n 1105→\n 1106→\t\tif peak == 0.0 {\n 1107→\t\t\tfor _, c := range archive.Clusters {\n 1108→\t\t\t\tfor _, m := range c.MetricConfig {\n 1109→\t\t\t\t\tif m.Name == metric {\n 1110→\t\t\t\t\t\tif m.Peak > peak {\n 1111→\t\t\t\t\t\t\tpeak = m.Peak\n 1112→\t\t\t\t\t\t}\n 1113→\t\t\t\t\t\tif unit == \"\" {\n 1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1115→\t\t\t\t\t\t}\n 1116→\t\t\t\t\t}\n 1117→\t\t\t\t}\n 1118→\t\t\t}\n 1119→\t\t}\n 1120→\n 1121→\t\t// Make and fill bins\n 1122→\t\tpeakBin := int(peak) / *bins\n 1123→\n 1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1125→\t\tfor b := 0; b < *bins; b++ {\n 1126→\t\t\tcount := 0\n 1127→\t\t\tbindex := b + 1\n 1128→\t\t\tbmin := peakBin * b\n 1129→\t\t\tbmax := peakBin * (b + 1)\n 1130→\n 1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1132→\t\t\tfor _, val := range avgs[idx] {\n 1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1134→\t\t\t\t\tcount += 1\n 1135→\t\t\t\t}\n 1136→\t\t\t}\n 1137→\n 1138→\t\t\t// Append Bin to Metric Result Array\n 1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1140→\t\t\tpoints = append(points, &point)\n 1141→\t\t}\n 1142→\n 1143→\t\t// Append Metric Result Array to final results array\n 1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1145→\t\tdata = append(data, &result)\n 1146→\t}\n 1147→\n 1148→\treturn data\n 1149→}\n 1150→"}]},"uuid":"f9ec8bb1-eb87-4b8e-ba63-6c7359f1ebaf","timestamp":"2026-03-16T10:19:09.512Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"3d727ce9-207b-48f2-939d-485b96ffc617","timestamp":"2026-03-16T10:19:09.655Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 408→\n 409→\t\t\t\tfreedExcluded := 0\n 410→\t\t\t\tfreedEmergency := 0\n 411→\t\t\t\tvar err error\n 412→\n 413→\t\t\t\tstate.mu.RLock()\n 414→\t\t\t\tlastRetention := state.lastRetentionTime\n 415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 416→\t\t\t\tstate.mu.RUnlock()\n 417→\n 418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 420→\t\t\t\t\tif err != nil {\n 421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 422→\t\t\t\t\t}\n 423→\n 424→\t\t\t\t\tif freedExcluded > 0 {\n 425→\t\t\t\t\t\tdebug.FreeOSMemory()\n 426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 427→\t\t\t\t\t}\n 428→\t\t\t\t}\n 429→\n 430→\t\t\t\truntime.ReadMemStats(&mem)\n 431→\t\t\t\tactualMemoryGB = 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hostDir, err)\n 143→\t\t\t\treturn nil\n 144→\t\t\t}\n 145→\n 146→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n 147→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n 148→\t\t\tif err != nil {\n 149→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n 150→\t\t\t\treturn nil\n 151→\t\t\t}\n 152→\n 153→\t\t\tw := bufio.NewWriter(f)\n 154→\n 155→\t\t\t// Write file header magic if file is new (empty).\n 156→\t\t\tinfo, err := f.Stat()\n 157→\t\t\tif err == nil && info.Size() == 0 {\n 158→\t\t\t\tvar hdr [4]byte\n 159→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n 160→\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n 161→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n 162→\t\t\t\t\tf.Close()\n 163→\t\t\t\t\treturn nil\n 164→\t\t\t\t}\n 165→\t\t\t}\n 166→\n 167→\t\t\tws = &walFileState{f: f, w: w}\n 168→\t\t\thostFiles[hostDir] = ws\n 169→\t\t\treturn ws\n 170→\t\t}\n 171→\n 172→\t\tprocessMsg := func(msg *WALMessage) {\n 173→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n 174→\t\t\tws := getOrOpenWAL(hostDir)\n 175→\t\t\tif ws == nil {\n 176→\t\t\t\treturn\n 177→\t\t\t}\n 178→\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n 179→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n 180→\t\t\t}\n 181→\t\t}\n 182→\n 183→\t\tprocessRotate := func(req walRotateReq) {\n 184→\t\t\tws, ok := hostFiles[req.hostDir]\n 185→\t\t\tif ok && ws.f != nil {\n 186→\t\t\t\tws.w.Flush()\n 187→\t\t\t\tws.f.Close()\n 188→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n 189→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 190→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 191→\t\t\t\t}\n 192→\t\t\t\tdelete(hostFiles, req.hostDir)\n 193→\t\t\t}\n 194→\t\t\tclose(req.done)\n 195→\t\t}\n 196→\n 197→\t\tdrain := func() {\n 198→\t\t\tfor {\n 199→\t\t\t\tselect {\n 200→\t\t\t\tcase msg, ok := <-WALMessages:\n 201→\t\t\t\t\tif !ok {\n 202→\t\t\t\t\t\treturn\n 203→\t\t\t\t\t}\n 204→\t\t\t\t\tprocessMsg(msg)\n 205→\t\t\t\tcase req := <-walRotateCh:\n 206→\t\t\t\t\tprocessRotate(req)\n 207→\t\t\t\tdefault:\n 208→\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n 209→\t\t\t\t\tfor _, ws := range hostFiles {\n 210→\t\t\t\t\t\tif ws.f != nil {\n 211→\t\t\t\t\t\t\tws.w.Flush()\n 212→\t\t\t\t\t\t}\n 213→\t\t\t\t\t}\n 214→\t\t\t\t\treturn\n 215→\t\t\t\t}\n 216→\t\t\t}\n 217→\t\t}"}]},"uuid":"bad871d2-53e5-4b7c-857d-5ca2862605c0","timestamp":"2026-03-16T10:19:09.850Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","timestamp":"2026-03-16T10:19:09.858Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c836fbc7-23f4-4259-aa17-5bbd308c7417","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YWeUjG6Mv4X4dS191CEkVk","type":"tool_result","content":"908:// Execute runs a Squirrel UpdateBuilder statement against the database.\n915:func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n924:// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n932:func (r *JobRepository) MarkArchived(\n939:// UpdateEnergy calculates and updates the energy consumption for a job.\n951:func (r *JobRepository) UpdateEnergy(\n1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n1010:func (r *JobRepository) UpdateFootprint(","is_error":false}]},"uuid":"b5a6b318-c47c-4c75-a1d9-360319812431","timestamp":"2026-03-16T10:19:09.869Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"fdb53a4c-76bc-428c-abc6-f13be9f301c6","timestamp":"2026-03-16T10:19:09.870Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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deleteJobBefore(rw http.ResponseWriter, r *http.Request) {\n993:func (api *RestAPI) checkAndHandleStopJob(rw http.ResponseWriter, job *schema.Job, req StopJobAPIRequest, isCached bool) {\n1055:func (api *RestAPI) getJobMetrics(rw http.ResponseWriter, r *http.Request) {\n1120:func (api *RestAPI) getUsedNodes(rw http.ResponseWriter, r *http.Request) {","is_error":false}]},"uuid":"aa0964c6-c75e-45ba-afbd-b57bf6adac08","timestamp":"2026-03-16T10:19:12.296Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"96538aab-3f04-4ce1-8d44-8aa28697e625","timestamp":"2026-03-16T10:19:12.297Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"42853b46-0307-4026-b9c3-cba832d977e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeAXSEun1yp9HgsSEHSEkD","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-124-\ninternal/archiver/archiveWorker.go-125-\t\t\tstart := time.Now()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-126-\t\t\t// not using meta data, called to load JobMeta into Cache?\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-127-\t\t\t// will fail if job meta not in repository\ninternal/archiver/archiveWorker.go-128-\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\ninternal/archiver/archiveWorker.go-129-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:130:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-131-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-132-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-133-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-134-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-135-\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-136-\t\t\t// Use shutdown context to allow cancellation\ninternal/archiver/archiveWorker.go-137-\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-138-\t\t\tif err != nil {\ninternal/archiver/archiveWorker.go-139-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\ninternal/archiver/archiveWorker.go:140:\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-141-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-142-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-143-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-144-\ninternal/archiver/archiveWorker.go-145-\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-146-\ninternal/archiver/archiveWorker.go:147:\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-148-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-149-\t\t\t\tarchivePending.Done()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-150-\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-151-\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go-152-\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\ninternal/archiver/archiveWorker.go-153-\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n--\ninternal/taskmanager/updateFootprintService.go-108-\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-109-\t\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-110-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-111-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-112-\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\ninternal/taskmanager/updateFootprintService.go-113-\t\t\t\t\t\tstmt := sq.Update(\"job\")\ninternal/taskmanager/updateFootprintService.go:114:\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-115-\t\t\t\t\t\tif err != nil {\ninternal/taskmanager/updateFootprintService.go-116-\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-117-\t\t\t\t\t\t\tce++\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-118-\t\t\t\t\t\t\tcontinue\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-119-\t\t\t\t\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go-120-\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-878-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-879-\ninternal/repository/job.go-880-\tcclog.Debugf(\"JobRepository.FindJobsBetween(): Return job count %d (omitTagged: %v)\", len(jobs), omitTagged)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-881-\treturn jobs, nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-882-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-883-\ninternal/repository/job.go:884:// UpdateMonitoringStatus updates the monitoring status for a job and invalidates its cache entries.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-885-// Cache invalidation affects both metadata and energy footprint to ensure consistency.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-886-//\ninternal/repository/job.go-887-/ Parameters:\ninternal/repository/job.go-888-/ - job: Database ID of the job to update\ninternal/repository/job.go-889-/ - monitoringStatus: New monitoring status value (see schema.MonitoringStatus constants)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-890-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-891-// Returns an error if the database update fails.\ninternal/repository/job.go:892:func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-893-\t// Invalidate cache entries as monitoring status affects job state\ninternal/repository/job.go-894-\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", job))\ninternal/repository/job.go-895-\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", job))\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-896-\ninternal/repository/job.go-897-\tstmt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-898-\t\tSet(\"monitoring_status\", monitoringStatus).\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-995-\t\treturn stmt, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-996-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-997-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-998-\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-999-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1000-\ninternal/repository/job.go:1001:// UpdateFootprint calculates and updates the performance footprint for a job.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1002-// This is called for running jobs during intermediate updates or when archiving.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1003-//\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1004-// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1005-// The specific statistic type is defined in the cluster config's Footprint field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1006-// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1007-//\ninternal/repository/job.go-1008-/ Example: For a \"cpu_load\" metric with Footprint=\"avg\", this stores\ninternal/repository/job.go-1009-/ the average CPU load across all nodes as \"cpu_load_avg\": 85.3\ninternal/repository/job.go:1010:func (r *JobRepository) UpdateFootprint(\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1011-\tstmt sq.UpdateBuilder,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1012-\tjobMeta *schema.Job,\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1013-) (sq.UpdateBuilder, error) {\ninternal/repository/job.go-1014-\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-1015-\tif err != nil {\ninternal/repository/job.go-1016-\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())"}]},"uuid":"e5e36eaa-7900-4af3-993b-b2c8da96baac","timestamp":"2026-03-16T10:19:13.589Z"},"type":"agent_progress","prompt":"","agentId":"ab0b0e624428f5b1f"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","uuid":"99a8aead-73dd-4955-b399-2c2034eab6cf","timestamp":"2026-03-16T10:19:13.736Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"8ce39460-ca1c-465e-a658-9adc17f418de","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:13.975Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":717,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"bae63d3b-f26f-4c9e-8f18-6c305785f811"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","timestamp":"2026-03-16T10:19:13.976Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"bbf395e0-386e-4ea2-95f1-ccf1faa4adbb","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012Edqe79j7zb4bx8wAxFD93","type":"tool_result","content":" 908→// Execute runs a Squirrel UpdateBuilder statement against the database.\n 909→// This is a generic helper for executing pre-built update queries.\n 910→//\n 911→// Parameters:\n 912→// - stmt: Squirrel UpdateBuilder with prepared update query\n 913→//\n 914→// Returns an error if the execution fails.\n 915→func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {\n 916→\tif _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {\n 917→\t\tcclog.Errorf(\"Error while executing statement: %v\", err)\n 918→\t\treturn fmt.Errorf(\"failed to execute update statement: %w\", err)\n 919→\t}\n 920→\n 921→\treturn nil\n 922→}\n 923→\n 924→// MarkArchived adds monitoring status update to an existing UpdateBuilder statement.\n 925→// This is a builder helper used when constructing multi-field update queries.\n 926→//\n 927→// Parameters:\n 928→// - stmt: Existing UpdateBuilder to modify\n 929→// - monitoringStatus: Monitoring status value to set\n 930→//\n 931→// Returns the modified UpdateBuilder for method chaining.\n 932→func (r *JobRepository) MarkArchived(\n 933→\tstmt sq.UpdateBuilder,\n 934→\tmonitoringStatus int32,\n 935→) sq.UpdateBuilder {\n 936→\treturn stmt.Set(\"monitoring_status\", monitoringStatus)\n 937→}\n 938→\n 939→// UpdateEnergy calculates and updates the energy consumption for a job.\n 940→// This is called for running jobs during intermediate updates or when archiving.\n 941→//\n 942→// Energy calculation formula:\n 943→// - For \"power\" metrics: Energy (kWh) = (Power_avg * NumNodes * Duration_hours) / 1000\n 944→// - For \"energy\" metrics: Currently not implemented (would need sum statistics)\n 945→//\n 946→// The calculation accounts for:\n 947→// - Multi-node jobs: Multiplies by NumNodes to get total cluster energy\n 948→// - Shared jobs: Node average is already based on partial resources, so NumNodes=1\n 949→// - Unit conversion: Watts * hours / 1000 = kilowatt-hours (kWh)\n 950→// - Rounding: Results rounded to 2 decimal places\n 951→func (r *JobRepository) UpdateEnergy(\n 952→\tstmt sq.UpdateBuilder,\n 953→\tjobMeta *schema.Job,\n 954→) (sq.UpdateBuilder, error) {\n 955→\tsc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)\n 956→\tif err != nil {\n 957→\t\tcclog.Errorf(\"cannot get subcluster: %s\", err.Error())\n 958→\t\treturn stmt, err\n 959→\t}\n 960→\tenergyFootprint := make(map[string]float64)\n 961→\n 962→\t// Accumulate total energy across all energy-related metrics\n 963→\ttotalEnergy := 0.0\n 964→\tfor _, fp := range sc.EnergyFootprint {\n 965→\t\t// Calculate energy for this specific metric\n 966→\t\tmetricEnergy := 0.0\n 967→\t\tif i, err := archive.MetricIndex(sc.MetricConfig, fp); err == nil {\n 968→\t\t\tswitch sc.MetricConfig[i].Energy {\n 969→\t\t\tcase \"energy\": // Metric already in energy units (Joules or Wh)\n 970→\t\t\t\tcclog.Warnf(\"Update EnergyFootprint for Job %d and Metric %s on cluster %s: Set to 'energy' in cluster.json: Not implemented, will return 0.0\", jobMeta.JobID, jobMeta.Cluster, fp)\n 971→\t\t\t\t// FIXME: Needs sum as stats type to accumulate energy values over time\n 972→\t\t\tcase \"power\": // Metric in power units (Watts)\n 973→\t\t\t\t// Energy (kWh) = Power (W) × Time (h) / 1000\n 974→\t\t\t\t// Formula: (avg_power_per_node * num_nodes) * (duration_sec / 3600) / 1000\n 975→\t\t\t\t//\n 976→\t\t\t\t// Breakdown:\n 977→\t\t\t\t// LoadJobStat(jobMeta, fp, \"avg\") = average power per node (W)\n 978→\t\t\t\t// jobMeta.NumNodes = number of nodes (1 for shared jobs)\n 979→\t\t\t\t// jobMeta.Duration / 3600.0 = duration in hours\n 980→\t\t\t\t// / 1000.0 = convert Wh to kWh\n 981→\t\t\t\trawEnergy := ((LoadJobStat(jobMeta, fp, \"avg\") * float64(jobMeta.NumNodes)) * (float64(jobMeta.Duration) / 3600.0)) / 1000.0\n 982→\t\t\t\tmetricEnergy = math.Round(rawEnergy*100.0) / 100.0 // Round to 2 decimal places\n 983→\t\t\t}\n 984→\t\t} else {\n 985→\t\t\tcclog.Warnf(\"Error while collecting energy metric %s for job, DB ID '%v', return '0.0'\", fp, jobMeta.ID)\n 986→\t\t}\n 987→\n 988→\t\tenergyFootprint[fp] = metricEnergy\n 989→\t\ttotalEnergy += metricEnergy\n 990→\t}\n 991→\n 992→\tvar rawFootprint []byte\n 993→\tif rawFootprint, err = json.Marshal(energyFootprint); err != nil {\n 994→\t\tcclog.Warnf(\"Error while marshaling energy footprint for job INTO BYTES, DB ID '%v'\", jobMeta.ID)\n 995→\t\treturn stmt, err\n 996→\t}\n 997→\n 998→\treturn stmt.Set(\"energy_footprint\", string(rawFootprint)).Set(\"energy\", (math.Round(totalEnergy*100.0) / 100.0)), nil\n 999→}\n 1000→\n 1001→// UpdateFootprint calculates and updates the performance footprint for a job.\n 1002→// This is called for running jobs during intermediate updates or when archiving.\n 1003→//\n 1004→// A footprint is a summary statistic (avg/min/max) for each monitored metric.\n 1005→// The specific statistic type is defined in the cluster config's Footprint field.\n 1006→// Results are stored as JSON with keys like \"metric_avg\", \"metric_max\", etc.\n 1007→//"}]},"uuid":"e5673981-f132-4961-9abe-15b06319e973","timestamp":"2026-03-16T10:19:13.771Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","timestamp":"2026-03-16T10:19:14.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9674f47b-3957-4d03-ae8b-2b215b47588c","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XmUUQ7FpkTEGodHtZ7uLAW","type":"tool_result","content":" 717→func (api *RestAPI) startJob(rw http.ResponseWriter, r *http.Request) {\n 718→\treq := schema.Job{\n 719→\t\tShared: \"none\",\n 720→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 721→\t}\n 722→\tif err := decode(r.Body, &req); err != nil {\n 723→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 724→\t\treturn\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"REST: %s\", req.GoString())\n 728→\treq.State = schema.JobStateRunning\n 729→\n 730→\tif err := importer.SanityChecks(&req); err != nil {\n 731→\t\thandleError(err, http.StatusBadRequest, rw)\n 732→\t\treturn\n 733→\t}\n 734→\n 735→\t// aquire lock to avoid race condition between API calls\n 736→\tvar unlockOnce sync.Once\n 737→\tapi.RepositoryMutex.Lock()\n 738→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 739→\n 740→\t// Check if combination of (job_id, cluster_id, start_time) already exists:\n 741→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 742→\tif err != nil && err != sql.ErrNoRows {\n 743→\t\thandleError(fmt.Errorf(\"checking for duplicate failed: %w\", err), http.StatusInternalServerError, rw)\n 744→\t\treturn\n 745→\t}\n 746→\tif err == nil {\n 747→\t\tfor _, job := range jobs {\n 748→\t\t\t// Check if jobs are within the same day (prevent duplicates)\n 749→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 750→\t\t\t\thandleError(fmt.Errorf(\"a job with that jobId, cluster and startTime already exists: dbid: %d, jobid: %d\", *job.ID, job.JobID), http.StatusUnprocessableEntity, rw)\n 751→\t\t\t\treturn\n 752→\t\t\t}\n 753→\t\t}\n 754→\t}\n 755→\n 756→\t// When tags are present, insert directly into the job table so that the\n 757→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 758→\t// Jobs without tags use the cache path as before.\n 759→\tvar id int64\n 760→\tif len(req.Tags) > 0 {\n 761→\t\tid, err = api.JobRepository.StartDirect(&req)\n 762→\t} else {\n 763→\t\tid, err = api.JobRepository.Start(&req)\n 764→\t}\n 765→\tif err != nil {\n 766→\t\thandleError(fmt.Errorf(\"insert into database failed: %w\", err), http.StatusInternalServerError, rw)\n 767→\t\treturn\n 768→\t}\n 769→\t// unlock here, adding Tags can be async\n 770→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 771→\n 772→\tfor _, tag := range req.Tags {\n 773→\t\tif _, err := api.JobRepository.AddTagOrCreate(repository.GetUserFromContext(r.Context()), id, tag.Type, tag.Name, tag.Scope); err != nil {\n 774→\t\t\thandleError(fmt.Errorf(\"adding tag to new job %d failed: %w\", id, err), http.StatusInternalServerError, rw)\n 775→\t\t\treturn\n 776→\t\t}\n 777→\t}\n 778→\n 779→\tcclog.Infof(\"new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\", id, req.Cluster, req.JobID, req.User, req.StartTime)\n 780→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 781→\trw.WriteHeader(http.StatusCreated)\n 782→\tif err := json.NewEncoder(rw).Encode(DefaultAPIResponse{\n 783→\t\tMessage: \"success\",\n 784→\t}); err != nil {\n 785→\t\tcclog.Errorf(\"Failed to encode response: %v\", err)\n 786→\t}\n 787→}\n 788→\n 789→// stopJobByRequest godoc\n 790→// @summary Marks job as completed and triggers archiving\n 791→// @tags Job add and modify\n 792→// @description Job to stop is specified by request body. All fields are required in this case.\n 793→// @description Returns full job resource information according to 'Job' scheme.\n 794→// @produce json\n 795→// @param request body api.StopJobAPIRequest true \"All fields required\"\n 796→// @success 200 {object} schema.Job \"Success message\"\n 797→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 798→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 799→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 800→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 801→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: job has already been stopped\"\n 802→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 803→// @security ApiKeyAuth\n 804→// @router /api/jobs/stop_job/ [post]\n 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {"}]},"uuid":"a274be55-d640-456c-9e22-e782ce31fc30","timestamp":"2026-03-16T10:19:14.003Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"eedddb18-4742-4003-a973-e48465fa8814","timestamp":"2026-03-16T10:19:14.246Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"eedddb18-4742-4003-a973-e48465fa8814","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.458Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KxgnFecKv137Seew4smC9q","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go","offset":805,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"82d077e4-6f08-481d-9252-952867eacd24"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","timestamp":"2026-03-16T10:19:14.458Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"042c6cc4-6ff0-4a8f-b2e1-9aac1fae03a7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KxgnFecKv137Seew4smC9q","type":"tool_result","content":" 805→func (api *RestAPI) stopJobByRequest(rw http.ResponseWriter, r *http.Request) {\n 806→\t// Parse request body\n 807→\treq := StopJobAPIRequest{}\n 808→\tif err := decode(r.Body, &req); err != nil {\n 809→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err), http.StatusBadRequest, rw)\n 810→\t\treturn\n 811→\t}\n 812→\n 813→\t// Fetch job (that will be stopped) from db\n 814→\tvar job *schema.Job\n 815→\tvar err error\n 816→\tif req.JobID == nil {\n 817→\t\thandleError(errors.New(\"the field 'jobId' is required\"), http.StatusBadRequest, rw)\n 818→\t\treturn\n 819→\t}\n 820→\n 821→\tisCached := false\n 822→\tjob, err = api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 823→\tif err != nil {\n 824→\t\t// Not in cache, try main job table\n 825→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 826→\t\tif err != nil {\n 827→\t\t\thandleError(fmt.Errorf(\"finding job failed: %w\", err), http.StatusNotFound, rw)\n 828→\t\t\treturn\n 829→\t\t}\n 830→\t} else {\n 831→\t\tisCached = true\n 832→\t}\n 833→\n 834→\tapi.checkAndHandleStopJob(rw, job, req, isCached)\n 835→}\n 836→\n 837→// deleteJobByID godoc\n 838→// @summary Remove a job from the sql database\n 839→// @tags Job remove\n 840→// @description Job to remove is specified by database ID. This will not remove the job from the job archive.\n 841→// @produce json\n 842→// @param id path int true \"Database ID of Job\"\n 843→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 844→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 845→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 846→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 847→// @failure 404 {object} api.ErrorResponse \"Resource not found\"\n 848→// @failure 422 {object} api.ErrorResponse \"Unprocessable Entity: finding job failed: sql: no rows in result set\"\n 849→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 850→// @security ApiKeyAuth\n 851→// @router /api/jobs/delete_job/{id} [delete]\n 852→func (api *RestAPI) deleteJobByID(rw http.ResponseWriter, r *http.Request) {\n 853→\t// Fetch job (that will be stopped) from db\n 854→\tid := chi.URLParam(r, \"id\")"}]},"uuid":"1004fea2-e9da-4776-b7a7-1d7d31a5018a","timestamp":"2026-03-16T10:19:14.465Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","timestamp":"2026-03-16T10:19:14.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"23bed1a2-0a41-41a5-9e93-b9fa409a1897","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:14.606Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BB18wmZ2KzJpBXtTRnEhmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":555,"cache_read_input_tokens":62950,"cache_creation":{"ephemeral_5m_input_tokens":555,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8aA1sSE1o1UFr8AUY","uuid":"f58dec96-e4dd-4426-9035-537ce3c08a7d"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","timestamp":"2026-03-16T10:19:14.606Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9ecf8df0-848c-4c86-b10d-95aa4960df11","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YPm1XWAYm7q64GnUsS7kUE","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}"}]},"uuid":"085bc42c-e966-4db3-a9ee-dd5f0a17f0b2","timestamp":"2026-03-16T10:19:14.612Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","timestamp":"2026-03-16T10:19:14.616Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1bca4a0e-a37e-45cd-b75c-7472d13fb965","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.708Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"b0ab6579-85df-4bb4-97a3-7052f0e1cb3d"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","timestamp":"2026-03-16T10:19:15.709Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7821a38c-2891-4b0b-a7bb-20af92e3eacd","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FP9cGEWnLxaPiP3u4xSNdP","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n 68→\t// when the database is under contention.\n 69→\tjobSem chan struct{}\n 70→\t// nodeSem limits concurrent NATS node state processing.\n 71→\tnodeSem chan struct{}\n 72→}\n 73→\n 74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 75→func NewNatsAPI() *NatsAPI {\n 76→\treturn &NatsAPI{\n 77→\t\tJobRepository: repository.GetJobRepository(),\n 78→\t\tjobSem: make(chan struct{}, 8),\n 79→\t\tnodeSem: make(chan struct{}, 2),\n 80→\t}\n 81→}\n 82→\n 83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 84→// Returns an error if the NATS client is not available or subscription fails.\n 85→func (api *NatsAPI) StartSubscriptions() error {\n 86→\tclient := nats.GetClient()\n 87→\tif client == nil {\n 88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 89→\t\treturn nil\n 90→\t}\n 91→\n 92→\tif config.Keys.APISubjects != nil {\n 93→\n 94→\t\ts := config.Keys.APISubjects\n 95→\n 96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 101→\t\t\treturn err\n 102→\t\t}\n 103→\n 104→\t\tcclog.Info(\"NATS API subscriptions started\")\n 105→\t}\n 106→\treturn nil\n 107→}\n 108→\n 109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 110→// Validates that required tags and fields are present before processing.\n 111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 112→\tfunction, ok := msg.GetTag(\"function\")\n 113→\tif !ok {\n 114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 115→\t\treturn\n 116→\t}\n 117→\n 118→\tswitch function {\n 119→\tcase \"start_job\":\n 120→\t\tv, ok := msg.GetEventValue()\n 121→\t\tif !ok {\n 122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 123→\t\t\treturn\n 124→\t\t}\n 125→\t\tapi.handleStartJob(v)\n 126→\n 127→\tcase \"stop_job\":\n 128→\t\tv, ok := msg.GetEventValue()\n 129→\t\tif !ok {\n 130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 131→\t\t\treturn\n 132→\t\t}\n 133→\t\tapi.handleStopJob(v)\n 134→\n 135→\tdefault:\n 136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 137→\t}\n 138→}\n 139→\n 140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 141→// The message must be in line protocol format with measurement=\"job\" and include:\n 142→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 143→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 144→//\n 145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 147→\tapi.jobSem <- struct{}{}\n 148→\tdefer func() { <-api.jobSem }()\n 149→\n 150→\tif len(data) == 0 {"}]},"uuid":"86fde437-b528-499c-a1d7-5fa79121d4a3","timestamp":"2026-03-16T10:19:15.717Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","timestamp":"2026-03-16T10:19:15.867Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"10db13cc-82fa-4994-9a75-e267b3ebaf1a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:15.882Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01CXmzugVGwb8E2Zu2pgwpTF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HahBbYCKyf8KVzypEHQotP","name":"Bash","input":{"command":"wc -l /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":2094,"cache_read_input_tokens":68339,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8hKsn3iYxBBtGYFJX","uuid":"12a3e1f9-a6b4-4706-bc5e-1345897c7f17"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"b55e94a0-e58c-4c81-95c2-6789d10936a7","timestamp":"2026-03-16T10:19:15.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"68f5754b-7cf9-4b2d-bbfc-d177301f4c06","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:16.400Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VjfnbU7PGJZtR2tHqRHTPg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CGZx3Tcha15fXatnAhrEZW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4432,"cache_read_input_tokens":63505,"cache_creation":{"ephemeral_5m_input_tokens":4432,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8jxNkH5bm2EPZiypE","uuid":"3d8d228c-0361-46c0-aac4-d9c2f1133428"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","timestamp":"2026-03-16T10:19:16.400Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8cd10b6f-eaf8-4eb3-ad75-c9533683b391","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CGZx3Tcha15fXatnAhrEZW","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n 68→\t// when the database is under contention.\n 69→\tjobSem chan struct{}\n 70→\t// nodeSem limits concurrent NATS node state processing.\n 71→\tnodeSem chan struct{}\n 72→}\n 73→\n 74→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 75→func NewNatsAPI() *NatsAPI {\n 76→\treturn &NatsAPI{\n 77→\t\tJobRepository: repository.GetJobRepository(),\n 78→\t\tjobSem: make(chan struct{}, 8),\n 79→\t\tnodeSem: make(chan struct{}, 2),\n 80→\t}\n 81→}\n 82→\n 83→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 84→// Returns an error if the NATS client is not available or subscription fails.\n 85→func (api *NatsAPI) StartSubscriptions() error {\n 86→\tclient := nats.GetClient()\n 87→\tif client == nil {\n 88→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 89→\t\treturn nil\n 90→\t}\n 91→\n 92→\tif config.Keys.APISubjects != nil {\n 93→\n 94→\t\ts := config.Keys.APISubjects\n 95→\n 96→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 101→\t\t\treturn err\n 102→\t\t}\n 103→\n 104→\t\tcclog.Info(\"NATS API subscriptions started\")\n 105→\t}\n 106→\treturn nil\n 107→}\n 108→\n 109→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 110→// Validates that required tags and fields are present before processing.\n 111→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 112→\tfunction, ok := msg.GetTag(\"function\")\n 113→\tif !ok {\n 114→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 115→\t\treturn\n 116→\t}\n 117→\n 118→\tswitch function {\n 119→\tcase \"start_job\":\n 120→\t\tv, ok := msg.GetEventValue()\n 121→\t\tif !ok {\n 122→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 123→\t\t\treturn\n 124→\t\t}\n 125→\t\tapi.handleStartJob(v)\n 126→\n 127→\tcase \"stop_job\":\n 128→\t\tv, ok := msg.GetEventValue()\n 129→\t\tif !ok {\n 130→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 131→\t\t\treturn\n 132→\t\t}\n 133→\t\tapi.handleStopJob(v)\n 134→\n 135→\tdefault:\n 136→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 137→\t}\n 138→}\n 139→\n 140→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 141→// The message must be in line protocol format with measurement=\"job\" and include:\n 142→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 143→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 144→//\n 145→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 146→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 147→\tapi.jobSem <- struct{}{}\n 148→\tdefer func() { <-api.jobSem }()\n 149→\n 150→\tif len(data) == 0 {"}]},"uuid":"187897f4-6a9a-44cb-ad1f-d7a698c576a8","timestamp":"2026-03-16T10:19:16.416Z"},"type":"agent_progress","prompt":"","agentId":"a5a9b60b3b5a2afcf"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","uuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","timestamp":"2026-03-16T10:19:16.419Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"678f1bdf-2c96-4b0e-90c6-e66435e0bb0a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:18.309Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EmBZYDssK9ok5twV5QcsX9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EFmxeD8gVgyH1WgTPW88hX","name":"Bash","input":{"command":"grep -n \"AddTag\\|RemoveTag\\|ImportTag\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/*.go 2>/dev/null | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":2497,"cache_read_input_tokens":70433,"cache_creation":{"ephemeral_5m_input_tokens":2497,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8qNp71XkU3Zosq3Fx","uuid":"ed4f04c2-7019-4202-9841-97b507e3c35c"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"61286d25-7ea0-424e-b07e-7d2769888610","timestamp":"2026-03-16T10:19:18.310Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"61286d25-7ea0-424e-b07e-7d2769888610","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EFmxeD8gVgyH1WgTPW88hX","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165:// AddTagsToJob is the resolver for the addTagsToJob field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:166:func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:199:\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:212:// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:213:func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:246:\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:260:// RemoveTagFromList is the resolver for the removeTagFromList field.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:261:func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:287:\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {","is_error":false}]},"uuid":"1ed58b00-7d13-4343-842b-8d8e2b5eacd1","timestamp":"2026-03-16T10:19:18.340Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"7f87330e-b48b-4a36-9f0e-c8baa67251ac","timestamp":"2026-03-16T10:19:18.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7f87330e-b48b-4a36-9f0e-c8baa67251ac","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:18.385Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01EmBZYDssK9ok5twV5QcsX9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017LdiFW1QM3rMLBTuQ6CJjq","name":"Bash","input":{"command":"find /Users/jan/prg/ClusterCockpit/cc-backend -name \"*resolver*\" -type f | head -5"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":2497,"cache_read_input_tokens":70433,"cache_creation":{"ephemeral_5m_input_tokens":2497,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b8qNp71XkU3Zosq3Fx","uuid":"33ee88a3-42d0-4884-a264-9429dd263a5c"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"5890adcf-6fb3-4b06-aba6-7b4d214265f7","timestamp":"2026-03-16T10:19:18.385Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"d8731946-abff-4cfa-a1e9-76475a1b2d16","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016H5RJKfCjDuuicn8ZMGcPE","type":"tool_result","content":" 165→// AddTagsToJob is the resolver for the addTagsToJob field.\n 166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 167→\tuser := repository.GetUserFromContext(ctx)\n 168→\tif user == nil {\n 169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 170→\t}\n 171→\n 172→\tjid, err := strconv.ParseInt(job, 10, 64)\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"Error while adding tag to job\")\n 175→\t\treturn nil, err\n 176→\t}\n 177→\n 178→\ttags := []*schema.Tag{}\n 179→\tfor _, tagID := range tagIds {\n 180→\t\t// Get ID\n 181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 182→\t\tif err != nil {\n 183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 184→\t\t\treturn nil, err\n 185→\t\t}\n 186→\n 187→\t\t// Test Exists\n 188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 189→\t\tif !exists {\n 190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 192→\t\t}\n 193→\n 194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 197→\t\t\tuser.Username == tscope {\n 198→\t\t\t// Add to Job\n 199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n 200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n 201→\t\t\t\treturn nil, err\n 202→\t\t\t}\n 203→\t\t} else {\n 204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n 205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n 206→\t\t}\n 207→\t}\n 208→\n 209→\treturn tags, nil\n 210→}\n 211→\n 212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n 213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 214→\tuser := repository.GetUserFromContext(ctx)\n 215→\tif user == nil {\n 216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 217→\t}\n 218→\n 219→\tjid, err := strconv.ParseInt(job, 10, 64)\n 220→\tif err != nil {\n 221→\t\tcclog.Warn(\"Error while parsing job id\")\n 222→\t\treturn nil, err\n 223→\t}\n 224→\n 225→\ttags := []*schema.Tag{}\n 226→\tfor _, tagID := range tagIds {\n 227→\t\t// Get ID\n 228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 229→\t\tif err != nil {\n 230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 231→\t\t\treturn nil, err\n 232→\t\t}\n 233→\n 234→\t\t// Test Exists\n 235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 236→\t\tif !exists {\n 237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 239→\t\t}\n 240→\n 241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 244→\t\t\tuser.Username == tscope {\n 245→\t\t\t// Remove from Job\n 246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n 247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 248→\t\t\t\treturn nil, err\n 249→\t\t\t}\n 250→\t\t} else {\n 251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 253→\t\t}\n 254→\n 255→\t}\n 256→\n 257→\treturn tags, nil\n 258→}\n 259→\n 260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n 261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n 262→\t// Needs Contextuser\n 263→\tuser := repository.GetUserFromContext(ctx)\n 264→\tif user == nil {\n 265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 266→\t}\n 267→\n 268→\ttags := []int{}\n 269→\tfor _, tagID := range tagIds {\n 270→\t\t// Get ID\n 271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 272→\t\tif err != nil {\n 273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n 274→\t\t\treturn nil, err\n 275→\t\t}\n 276→\n 277→\t\t// Test Exists\n 278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 279→\t\tif !exists {\n 280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 282→\t\t}\n 283→\n 284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n 285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n 286→\t\t\t// Remove from DB\n 287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n 288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 289→\t\t\t\treturn nil, err\n 290→\t\t\t} else {\n 291→\t\t\t\ttags = append(tags, int(tid))\n 292→\t\t\t}\n 293→\t\t} else {\n 294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 296→\t\t}\n 297→\t}\n 298→\treturn tags, nil\n 299→}\n 300→\n 301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n 302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n 303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n 304→\t\tcclog.Warn(\"Error while updating user config\")\n 305→\t\treturn nil, err\n 306→\t}\n 307→\n 308→\treturn nil, nil\n 309→}\n 310→\n 311→// ID is the resolver for the id field.\n 312→func (r *nodeResolver) ID(ctx 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+{"parentUuid":"faefbf0d-53f5-4bf4-b18b-fb8579bee129","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FnzoiiUammdo3Y4TyzbbMJ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"sync\"\n 10→\n 11→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 12→)\n 13→\n 14→// JobHook interface allows external components to hook into job lifecycle events.\n 15→// Implementations can perform actions when jobs start or stop, such as tagging,\n 16→// logging, notifications, or triggering external workflows.\n 17→//\n 18→// Example implementation:\n 19→//\n 20→//\ttype MyJobTagger struct{}\n 21→//\n 22→//\tfunc (t *MyJobTagger) JobStartCallback(job *schema.Job) {\n 23→//\t if job.NumNodes > 100 {\n 24→//\t // Tag large jobs automatically\n 25→//\t }\n 26→//\t}\n 27→//\n 28→//\tfunc (t *MyJobTagger) JobStopCallback(job *schema.Job) {\n 29→//\t if job.State == schema.JobStateFailed {\n 30→//\t // Log or alert on failed jobs\n 31→//\t }\n 32→//\t}\n 33→//\n 34→// Register hooks during application initialization:\n 35→//\n 36→//\trepository.RegisterJobHook(&MyJobTagger{})\n 37→type JobHook interface {\n 38→\t// JobStartCallback is invoked when one or more jobs start.\n 39→\t// This is called synchronously, so implementations should be fast.\n 40→\tJobStartCallback(job *schema.Job)\n 41→\n 42→\t// JobStopCallback is invoked when a job completes.\n 43→\t// This is called synchronously, so implementations should be fast.\n 44→\tJobStopCallback(job *schema.Job)\n 45→}\n 46→\n 47→var (\n 48→\tinitOnce sync.Once\n 49→\thooks []JobHook\n 50→)\n 51→\n 52→// RegisterJobHook registers a JobHook to receive job lifecycle callbacks.\n 53→// Multiple hooks can be registered and will be called in registration order.\n 54→// This function is safe to call multiple times and is typically called during\n 55→// application initialization.\n 56→//\n 57→// Nil hooks are silently ignored to simplify conditional registration.\n 58→func RegisterJobHook(hook JobHook) {\n 59→\tinitOnce.Do(func() {\n 60→\t\thooks = make([]JobHook, 0)\n 61→\t})\n 62→\n 63→\tif hook != nil {\n 64→\t\thooks = append(hooks, hook)\n 65→\t}\n 66→}\n 67→\n 68→// CallJobStartHooks invokes all registered JobHook.JobStartCallback methods\n 69→// for each job in the provided slice. This is called internally by the repository\n 70→// when jobs are started (e.g., via StartJob or batch job imports).\n 71→//\n 72→// Hooks are called synchronously in registration order. If a hook panics,\n 73→// the panic will propagate to the caller.\n 74→func CallJobStartHooks(jobs []*schema.Job) {\n 75→\tif hooks == nil {\n 76→\t\treturn\n 77→\t}\n 78→\n 79→\tfor _, hook := range hooks {\n 80→\t\tif hook != nil {\n 81→\t\t\tfor _, job := range jobs {\n 82→\t\t\t\thook.JobStartCallback(job)\n 83→\t\t\t}\n 84→\t\t}\n 85→\t}\n 86→}\n 87→\n 88→// CallJobStopHooks invokes all registered JobHook.JobStopCallback methods\n 89→// for the provided job. This is called internally by the repository when a\n 90→// job completes (e.g., via StopJob or job state updates).\n 91→//\n 92→// Hooks are called synchronously in registration order. If a hook panics,\n 93→// the panic will propagate to the caller.\n 94→func CallJobStopHooks(job *schema.Job) {\n 95→\tif hooks == nil {\n 96→\t\treturn\n 97→\t}\n 98→\n 99→\tfor _, hook := range hooks {\n 100→\t\tif hook != nil {\n 101→\t\t\thook.JobStopCallback(job)\n 102→\t\t}\n 103→\t}\n 104→}\n 105→"}]},"uuid":"b911bce7-395e-412e-a966-d781e9c14fc6","timestamp":"2026-03-16T10:19:23.437Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"4015c718-ec8c-4984-a344-ff54bb096e93","timestamp":"2026-03-16T10:19:23.654Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4015c718-ec8c-4984-a344-ff54bb096e93","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-16T10:19:23.697Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01GBDxhMxTpkmVfmQ7w4F6Vv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016g2hdJTVJZW52ubz9djexE","name":"Bash","input":{"command":"grep -n \"CallJobStopHooks\\|TriggerArchiving\\|jobSem\\|nodeSem\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":3441,"cache_read_input_tokens":72930,"cache_creation":{"ephemeral_5m_input_tokens":3441,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ6b99tnw8Fr28GyRmKv8","uuid":"5df9c3ad-36b3-4721-b765-cac5d87b2e38"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"2b65691f-33e3-4958-b0b7-15e0c879884f","timestamp":"2026-03-16T10:19:23.698Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2b65691f-33e3-4958-b0b7-15e0c879884f","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016g2hdJTVJZW52ubz9djexE","type":"tool_result","content":"67:\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n69:\tjobSem chan struct{}\n70:\t// nodeSem limits concurrent NATS node state processing.\n71:\tnodeSem chan struct{}\n78:\t\tjobSem: make(chan struct{}, 8),\n79:\t\tnodeSem: make(chan struct{}, 2),\n147:\tapi.jobSem <- struct{}{}\n148:\tdefer func() { <-api.jobSem }()\n334:\tarchiver.TriggerArchiving(job)\n390:\tapi.nodeSem <- struct{}{}\n391:\tdefer func() { <-api.nodeSem }()","is_error":false}]},"uuid":"6af661ff-1954-485e-9d45-08ca787e634c","timestamp":"2026-03-16T10:19:23.728Z"},"type":"agent_progress","prompt":"","agentId":"ae6e94e07c8dc030e"},"toolUseID":"agent_msg_0193rpGYrDC3fDmdnyuNQ9AD","parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","uuid":"554849d2-c5a1-4c76-9911-32006d339edb","timestamp":"2026-03-16T10:19:23.729Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"554849d2-c5a1-4c76-9911-32006d339edb","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","toolUseID":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","timestamp":"2026-03-16T10:19:56.246Z","uuid":"725e4d7d-5c3c-486b-b54d-6505f67f371a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"be9edc37-8b94-42c3-a207-56a1de047ced","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CAa4iM8kM2B9pJVQ4vauvf","type":"tool_result","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n → TagID lookup (SELECT)\n → CreateTag (INSERT) if missing\n → AddTag (INSERT into jobtag)\n → GetTags (SELECT)\n → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n → FetchMetadata (SELECT)\n → ArchiveJob() (file writes + calculations)\n → UpdateFootprint (UPDATE)\n → UpdateEnergy (UPDATE) \n → MarkArchived (UPDATE)\n → Execute(stmt) (single UPDATE with 3 SET clauses)\n → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n → Read JSON files\n → archive.ImportJob() (file write)\n → InsertJobDirect (INSERT)\n → for each tag in job.Tags {\n → ImportTag() (SELECT + INSERT per tag)\n }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n - 1 job INSERT per job\n - N tag operations (SELECT + INSERT) per job\n - No transaction wrapping job + all its tags\n \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n res, err := r.DB.Exec(\n \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n if err != nil { return 0, ... }\n \n newID, err := res.LastInsertId()\n if err != nil { return 0, ... }\n \n _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID) // SEPARATE OPERATION\n if err != nil { return 0, ... }\n \n return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID) // SELECT all job IDs\n \n qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n go r.removeTagFromArchiveJobs(jobIds) // ASYNC goroutine\n \n return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n // Lookup tag\n _, _, tscope, exists := r.Repo.TagInfo(tid)\n // Authorization check\n // Add/Remove\n if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n jobSem chan struct{} // capacity 8\n nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n api.jobSem <- struct{}{} // acquire semaphore\n defer func() { <-api.jobSem }() // release\n // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."},{"type":"text","text":"agentId: ae6e94e07c8dc030e (for resuming to continue this agent's work if needed)\ntotal_tokens: 81850\ntool_uses: 29\nduration_ms: 64839"}]}]},"uuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","timestamp":"2026-03-16T10:19:56.245Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for DB write patterns specifically around:\n\n1. **Tag operations** - AddTagOrCreate, adding tags to jobs. These are often called in loops (e.g., when starting a job with multiple tags). Check internal/repository/tags.go or similar files.\n\n2. **Job archiving writes** - What happens when a job is archived? Does it update the job table? Check internal/archiver/ for the archiving flow and what DB writes it does.\n\n3. **Job import/restore** - Check internal/importer/ for bulk import operations.\n\n4. **Energy footprint / statistics updates** - Any post-processing that updates job rows after archiving.\n\n5. **TransferCachedJobToMain** in internal/repository/jobCreate.go - this does INSERT + DELETE as separate operations. Could these be in a transaction?\n\nFor each pattern, identify if multiple individual writes could be combined into transactions or batch operations.\n\nAlso check internal/api/rest.go for the REST endpoint handlers (startJob, stopJob, etc.) to see their DB write patterns.","agentId":"ae6e94e07c8dc030e","content":[{"type":"text","text":"Perfect. Now I have enough information to provide a comprehensive analysis. Let me compile my findings:\n\n## DB Write Patterns Analysis - ClusterCockpit cc-backend\n\nBased on my thorough exploration of the codebase, I've identified several DB write patterns and opportunities for transaction-based optimization. Here's my detailed analysis:\n\n---\n\n## 1. TAG OPERATIONS - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: AddTagOrCreate (Internal/repository/tags.go:424)\nWhen adding tags to a job with multiple tags, each tag operation is **separate and non-transactional**:\n\n```\nstartJob() → for each tag {\n → TagID lookup (SELECT)\n → CreateTag (INSERT) if missing\n → AddTag (INSERT into jobtag)\n → GetTags (SELECT)\n → archive.UpdateTags() (file write)\n}\n```\n\n**Current Issues:**\n- **Line 760-777** in `/internal/api/job.go`: When startJob is called with `req.Tags`, each tag is added individually via `AddTagOrCreate()` inside a loop\n- **Line 570-583** in `/internal/api/job.go`: tagJob endpoint adds multiple tags one-by-one with individual archive updates\n- **Lines 165-210** in `/internal/graph/schema.resolvers.go`: GraphQL AddTagsToJob loops through tag IDs, calling `AddTag()` for each without batching\n\n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- A job with 5 tags = 5 separate transactions (INSERT + SELECT + archive write)\n- Could be batched into single transaction: 1 INSERT many jobtag + 1 archive write\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n**addJobTag() helper (line 398):** Performs 3 operations per tag:\n1. INSERT into jobtag\n2. SELECT tags\n3. archive.UpdateTags() (file I/O)\n\n**AddTagOrCreate() (line 424):** Chains multiple operations:\n1. TagID lookup\n2. CreateTag if missing (conditional INSERT)\n3. AddTag (calls addJobTag, which does 3 more ops)\n\n---\n\n## 2. JOB ARCHIVING WRITES - MODERATE TRANSACTION OPPORTUNITY\n\n### Pattern: Archiving Workflow (archiveWorker in /internal/archiver/archiveWorker.go)\n\nWhen a job is archived, **3-4 separate UPDATE statements** execute sequentially:\n\n```\narchivingWorker() → for job in archiveChannel {\n → FetchMetadata (SELECT)\n → ArchiveJob() (file writes + calculations)\n → UpdateFootprint (UPDATE)\n → UpdateEnergy (UPDATE) \n → MarkArchived (UPDATE)\n → Execute(stmt) (single UPDATE with 3 SET clauses)\n → CallJobStopHooks()\n}\n```\n\n**Current Issues:**\n- **Lines 145-159** in `/internal/archiver/archiveWorker.go`: Three separate `.Set()` calls chained together but executed as ONE statement via `jobRepo.Execute(stmt)`\n- Actually **GOOD**: The code chains multiple SET operations into a single UPDATE via Squirrel builder pattern\n- However, the statement is still a single UPDATE - could be a transaction for safety\n\n**Transaction Benefit:** ⭐⭐⭐ **MODERATE**\n- Currently chains SETs into one UPDATE (good)\n- Could add transaction wrapper for atomicity guarantee\n- Already uses statement builder pattern to combine updates\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:145-163`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:908-999` (UpdateEnergy, UpdateFootprint, MarkArchived, Execute)\n\n---\n\n## 3. JOB IMPORT/RESTORE - HIGH TRANSACTION OPPORTUNITY\n\n### Pattern: HandleImportFlag (internal/importer/handleImport.go:38)\n\nImports job metadata + tags without batching:\n\n```\nHandleImportFlag(flag) → for each job in flag {\n → Read JSON files\n → archive.ImportJob() (file write)\n → InsertJobDirect (INSERT)\n → for each tag in job.Tags {\n → ImportTag() (SELECT + INSERT per tag)\n }\n}\n```\n\n**Current Issues:**\n- **Lines 105-116** in `/internal/importer/handleImport.go`: \n - 1 job INSERT per job\n - N tag operations (SELECT + INSERT) per job\n - No transaction wrapping job + all its tags\n \n**Batch Potential:** ⭐⭐⭐⭐⭐ **HIGHEST**\n- If importing 100 jobs with 3 tags each = 100 INSERTs + 300 tag lookups/inserts\n- Could batch into transaction: INSERT 100 jobs + 300 tag associations in single txn\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:111-116`\n\n---\n\n## 4. JOB CACHE TO MAIN TABLE TRANSFER - IDENTIFIED ISSUE\n\n### Pattern: TransferCachedJobToMain (internal/repository/jobCreate.go:143)\n\n**EXACT ISSUE YOU MENTIONED:**\n\n```go\n// TransferCachedJobToMain - Lines 143-162\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n res, err := r.DB.Exec(\n \"INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\", cacheID)\n if err != nil { return 0, ... }\n \n newID, err := res.LastInsertId()\n if err != nil { return 0, ... }\n \n _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID) // SEPARATE OPERATION\n if err != nil { return 0, ... }\n \n return newID, nil\n}\n```\n\n**Issue:** ⚠️ **TWO SEPARATE EXEC CALLS**\n- Line 144-146: INSERT\n- Line 156: DELETE\n- No transaction wrapping both operations\n- **Risk:** If DELETE fails, job orphaned in main table and cache\n\n**Transaction Fix:** Wrap both operations in `tx.Beginx()` / `tx.Commit()`\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n\n---\n\n## 5. JOB STOP WORKFLOW - MILD CONSOLIDATION OPPORTUNITY\n\n### Pattern: stopJobByRequest (internal/api/job.go:805)\n\nCalls `checkAndHandleStopJob()` which likely:\n1. Updates job state (Stop)\n2. Transfers from cache to main table (INSERT + DELETE as shown above)\n3. Triggers archiving\n\n**Issue:** Multiple separate repository calls that could be transactional\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go:805-835`\n- The actual logic is in `checkAndHandleStopJob()` - would need to read that\n\n---\n\n## 6. TAG REMOVAL - DISTRIBUTED WRITES\n\n### Pattern: RemoveTagByID (internal/repository/tags.go:216)\n\n```go\n// RemoveTagByID - Lines 216-244\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID) // SELECT all job IDs\n \n qJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n if _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n qTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n if _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil { ... }\n \n go r.removeTagFromArchiveJobs(jobIds) // ASYNC goroutine\n \n return nil\n}\n```\n\n**Issues:**\n- **2 separate DELETE statements** (jobtag, then tag)\n- Could be 1 transaction\n- Archive updates run **asynchronously in goroutine** (line 241)\n- **Lines 183-199** show async archive updates without error handling\n\n**Transaction Opportunity:** ⭐⭐⭐ **MODERATE**\n- Can wrap 2 DELETEs in single transaction\n\n### Key Files:\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:216-244`\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go:183-199`\n\n---\n\n## 7. GRAPHQL TAG MUTATIONS - LOOP-BASED WRITES\n\n### Pattern: AddTagsToJob, RemoveTagsFromJob (internal/graph/schema.resolvers.go:166, 213)\n\n**Lines 179-207** and **Lines 226-255**:\n```go\nfor _, tagID := range tagIds {\n // Lookup tag\n _, _, tscope, exists := r.Repo.TagInfo(tid)\n // Authorization check\n // Add/Remove\n if tags, err = r.Repo.AddTag(...); err != nil { ... }\n}\n```\n\n**Issue:**\n- **Loop per tag** with individual `AddTag()` or `RemoveTag()` calls\n- 5 tags = 5 separate database transactions with archive updates\n- Could batch into single transaction\n\n**Batch Potential:** ⭐⭐⭐⭐ **HIGH**\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go:165-210, 212-258`\n\n---\n\n## 8. NATS API - SEMAPHORE-PROTECTED WRITES\n\n### Pattern: NATS Job/Node event handlers (internal/api/nats.go)\n\nUses semaphores to limit concurrency:\n```go\ntype NatsAPI struct {\n jobSem chan struct{} // capacity 8\n nodeSem chan struct{} // capacity 2\n}\n\nfunc (api *NatsAPI) handleJobEvent(...) {\n api.jobSem <- struct{}{} // acquire semaphore\n defer func() { <-api.jobSem }() // release\n // ... process job (same write patterns as REST)\n}\n```\n\n**No Issues:** Semaphores are for concurrency control, not transactional. Underlying writes are same as REST API (non-transactional tag adds).\n\n### Key File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:62-80, 147-148`\n\n---\n\n## 9. STATISTICS/ENERGY FOOTPRINT UPDATES - AGGREGATION-ONLY\n\n### Pattern: Stats queries (internal/repository/stats.go)\n\nAll **READ-ONLY** SELECT with aggregations. No write batching opportunities.\n\nKey observation: Post-archiving stats updates are computed by `UpdateFootprint()` and `UpdateEnergy()` which are already in a single UPDATE statement (item #2).\n\n---\n\n## TRANSACTION SUPPORT STATUS\n\n**Good news:** The codebase **already has transaction support**:\n\n### Available Transaction API (internal/repository/transaction.go):\n```go\ntype Transaction struct { tx *sqlx.Tx }\n\nfunc (r *JobRepository) TransactionInit() (*Transaction, error)\nfunc (t *Transaction) Commit() error\nfunc (t *Transaction) Rollback() error\nfunc (r *JobRepository) TransactionAddNamed(t *Transaction, query string, args ...any) (int64, error)\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error)\n```\n\n**Currently used in:** `/internal/repository/jobCreate.go:96-120` (SyncJobs function uses `tx.Beginx()`)\n\n**Not used in:** Tag operations, individual archiving, import loops\n\n---\n\n## SUMMARY TABLE\n\n| Pattern | Location | Issue | Batch Potential | Transaction Support | Priority |\n|---------|----------|-------|-----------------|---------------------|----------|\n| AddTagOrCreate in loop | api/job.go:760-777, api/job.go:570-583 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| ImportTag per tag | importer/handleImport.go:111-116 | 1 txn per tag | ⭐⭐⭐⭐⭐ | Exists | HIGH |\n| TransferCachedJobToMain | repository/jobCreate.go:143-162 | INSERT + DELETE separate | ⭐⭐⭐⭐ | Exists | **CRITICAL** |\n| RemoveTagByID | repository/tags.go:216-244 | 2 separate DELETEs | ⭐⭐⭐ | Exists | MEDIUM |\n| GraphQL AddTagsToJob | graph/schema.resolvers.go:179-207 | 1 txn per tag | ⭐⭐⭐⭐ | Exists | HIGH |\n| Archiving updates | archiver/archiveWorker.go:145-163 | 3 SETs chained (OK) | ⭐⭐ | Already good | LOW |\n| Job stats queries | repository/stats.go | Read-only aggregations | N/A | N/A | N/A |\n\n---\n\n## RECOMMENDATIONS\n\n1. **CRITICAL**: Fix `TransferCachedJobToMain()` - wrap INSERT + DELETE in transaction\n2. **HIGH**: Batch tag operations in `tagJob()` and `AddTagsToJob()` - add `BatchAddTags()` method\n3. **HIGH**: Batch import tag operations - wrap job insert + all tags in single transaction\n4. **MEDIUM**: Consolidate `RemoveTagByID()` - use single transaction for both DELETEs\n5. **MEDIUM**: Add async tag removal with error handling - current goroutine silently fails\n\n---\n\nThese patterns show that while transaction support exists, it's **underutilized** in high-frequency write paths, particularly around tag management where multiple individual operations could be safely batched."}],"totalDurationMs":64839,"totalTokens":81850,"totalToolUseCount":29,"usage":{"input_tokens":5,"cache_creation_input_tokens":1906,"cache_read_input_tokens":76371,"output_tokens":3568,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1906},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"be9edc37-8b94-42c3-a207-56a1de047ced","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e4783a98-7be1-497b-bb9d-b9abe1032483","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","toolUseID":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","timestamp":"2026-03-16T10:20:01.530Z","uuid":"9454fbba-4a89-47cd-ad3d-199b2aaea296","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xo43xBwShKs7rYgKdFf3YZ","type":"tool_result","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta) // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta) // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n - Limits throughput to single job start at a time\n - Held during duplicate check + tag operations\n - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n - INSERT + DELETE are separate `Exec()` calls\n - No transaction between them\n - If process crashes between INSERT and DELETE, job_cache row orphaned\n - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate \n - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n - UpdateMonitoringStatus (line 130) = separate write\n - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n - But if footprint fails, energy never updated\n - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n - 4 separate UPDATE paths, no transaction\n - If admin modifies role+project, inconsistent state if second fails\n - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n - Loop with separate INSERT per cluster\n - Code marked DEPRECATED but still runs\n - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n - Each imported job is individual (no transaction)\n - Loop of InsertJobDirect + ImportTag calls\n - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n - DELETE from job WHERE start_time < ?\n - Potentially thousands of rows, single statement but no transaction\n - If cascades fail, inconsistent state\n - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n - DB UPDATE + archive.UpdateMetadata() separate\n - No transaction\n - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n - Each role/project operation is separate REST handler call\n - updateUser() itself calls single repository method per request\n - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."},{"type":"text","text":"agentId: ab0b0e624428f5b1f (for resuming to continue this agent's work if needed)\ntotal_tokens: 120521\ntool_uses: 32\nduration_ms: 81558"}]}]},"uuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","timestamp":"2026-03-16T10:20:01.529Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase for all database WRITE operations (INSERT, UPDATE, DELETE, Exec, NamedExec) that could cause SQLite write contention. I need to find patterns that are:\n\n1. Called frequently or in loops without transactions\n2. Multiple separate writes that could be batched into a single transaction\n3. Write operations triggered by external events (REST handlers, scheduled tasks, archiving)\n\nFocus on these directories:\n- internal/repository/ (all .go files)\n- internal/api/ (all .go files) \n- internal/archiver/\n- internal/importer/\n\nFor each write operation found, note:\n- The function name and file path\n- Whether it's already in a transaction\n- How frequently it's likely called (per-request, per-job, periodic, etc.)\n- Whether multiple writes happen in sequence that could be batched\n\nBe very thorough - check every .go file in these directories. Skip test files.","agentId":"ab0b0e624428f5b1f","content":[{"type":"text","text":"Excellent! Now I have comprehensive information. Let me compile my final report based on all the data I've gathered.\n\n---\n\n## COMPREHENSIVE DATABASE WRITE OPERATIONS ANALYSIS - cc-backend\n\nBased on my thorough exploration of the codebase, here is a complete inventory of all database WRITE operations organized by contention patterns and optimization opportunities:\n\n### SECTION 1: JOB LIFECYCLE WRITES (CRITICAL CONTENTION POINTS)\n\n#### 1.1 Job Start/Insert Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InsertJob()` (line 54-70) | NamedExec to job_cache | Per-request (REST/NATS) | Mutex-protected only | CONTENTION: Single insert per request, uses mutex not transactions |\n| `InsertJobDirect()` (line 36-52) | NamedExec to job table | Per-request (with tags) | Mutex-protected only | CONTENTION: Mutex serializes all tag insertions sequentially |\n| `Start()` (line 166-183) | Marshals then InsertJob | Per-request | Indirect (via InsertJob) | THREE writes: footprint + resources + metadata marshaling before DB write |\n| `StartDirect()` (line 188-205) | Marshals then InsertJobDirect | Per-request (with tags) | Indirect (via InsertJobDirect) | SAME: Three marshals before single DB insert |\n| `SyncJobs()` (line 72-139) | INSERT OR IGNORE + DELETE in transaction | Periodic (cache flush) | **Transactional** ✓ | Good: Batches cache-to-main table transfer, but job-cache is per-request |\n| `TransferCachedJobToMain()` (line 143-162) | INSERT + DELETE (separate) | Per-job transfer | **NOT in transaction** ✗ | **ISSUE**: Two separate Exec() calls without transaction - race condition risk |\n\n**Key Findings:**\n- Job inserts use coarse `Mutex` locking instead of transactions\n- Every job start with tags locks the entire JobRepository for the duration\n- `TransferCachedJobToMain()` has two separate writes without transactional guarantees\n\n#### 1.2 Job Stop/Update Operations\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `Stop()` (line 208-226) | UPDATE job SET state/duration/monitoring_status | Per job-stop | No transaction | Single update, but needs cache invalidation |\n| `UpdateMonitoringStatus()` (line 892-902) | UPDATE job SET monitoring_status | Archiving failures | No transaction | Called frequently during archiving errors |\n| `UpdateMetadata()` (line 268-306) | UPDATE job SET meta_data + archive.UpdateMetadata() | Per metadata edit | No transaction | Two writes: DB + archive file (potential inconsistency) |\n| `DeleteJobByID()` (line 470-477) | DELETE from job | On-demand cleanup | No transaction | Single delete but should cascade with jobtag |\n| `DeleteJobsBefore()` (line 399-461) | DELETE from job WHERE start_time < ? | Periodic cleanup | No transaction | Bulk delete (potentially thousands of rows) without transaction |\n\n#### 1.3 Footprint & Energy Updates\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateFootprint()` (line 1010-1045) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n| `UpdateEnergy()` (line 960-999) | Builds UPDATE stmt (not executed) | Archiving, footprint service | Returns builder only | Caller must execute; no transaction wrapping |\n\n**Critical Issue:** These return unexecuted UPDATE builders, caller is responsible for execution:\n- Archiver calls both in sequence (archiveWorker.go line 147-152) - **2 separate statements**\n- updateFootprintService calls them per-job in a loop - **potential N separate statements**\n\n---\n\n### SECTION 2: NODE STATE WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddNode()` (line 182-197) | NamedExec INSERT node | On first state update | No transaction | Single insert, minimal issue |\n| `UpdateNodeState()` (line 208-245) | SELECT node, AddNode if missing, then NamedExec node_state | Per state update | No transaction | **CONTENTION**: Two writes (node + state) without transaction |\n| `BatchUpdateNodeStates()` (line 257-316) | **Transactional batch** | Per REST /api/nodestats | **YES - Full transaction** ✓ | **GOOD**: Entire batch in single transaction |\n| `DeleteNodeStatesBefore()` (line 383-396) | DELETE node_state WHERE time_stamp < ? | Periodic cleanup | No transaction | Bulk delete without transaction |\n\n**Key Finding:**\n- `BatchUpdateNodeStates()` is well-optimized (transaction + prepared statements)\n- But `UpdateNodeState()` is called per-request and NOT transactional (called from NATS)\n\n---\n\n### SECTION 3: USER MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `AddUser()` (line 126-189) | INSERT hpc_user + INSERT configuration (for each default cluster) | Per user creation | No transaction | **CONTENTION**: Loop with separate INSERT per cluster (lines 167-184) |\n| `AddUserIfNotExists()` (line 195-204) | INSERT OR IGNORE | LDAP sync/concurrent login | **Implicit safeguard** | Uses INSERT OR IGNORE for race condition safety |\n| `UpdateUser()` (line 206-276) | Multiple UPDATE calls in conditionals (lines 210-273) | Per admin user update | **NO - Separate calls** ✗ | **CONTENTION**: Each role/project change is separate UPDATE with no transaction |\n| `AddRole()` (line 336-363) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `RemoveRole()` (line 370-404) | UPDATE hpc_user SET roles | Per admin request | No transaction | Single update |\n| `AddProject()` (line 412-436) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `RemoveProject()` (line 438-476) | UPDATE hpc_user SET projects | Per admin request | No transaction | Single update |\n| `DelUser()` (line 278-286) | DELETE hpc_user | Per admin request | No transaction | Single delete |\n\n**Key Findings:**\n- `AddUser()` has implicit loop with N separate INSERTs for default metrics (deprecated code at line 162)\n- `UpdateUser()` has 4 separate UPDATE paths with no transaction (lines 210, 220, 227, 233, 245, 248, 256, 270)\n\n---\n\n### SECTION 4: TAG MANAGEMENT WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `CreateTag()` (line 255-271) | INSERT tag | Per unique tag | No transaction | Single insert, minimal contention |\n| `AddTag()` (line 73-83) | INSERT jobtag + archive.UpdateTags() | Per tag-job association | No transaction | **CONTENTION**: Two writes (DB + archive) without transaction |\n| `AddTagDirect()` (line 87-97) | Same as AddTag | From importer/batch | No transaction | Same issue |\n| `addJobTag()` (line 398-420) | INSERT jobtag + getTags callback + archive.UpdateTags() | Internal helper | No transaction | **THREE operations**: INSERT, SELECT, archive update |\n| `AddTagOrCreate()` (line 424-451) | CreateTag if missing, then AddTag | Per request | No transaction | Nested writes without transaction |\n| `RemoveTag()` (line 101-129) | DELETE jobtag + archive.UpdateTags() | Per tag removal | No transaction | **CONTENTION**: Two writes without transaction |\n| `RemoveTagByID()` (line 216-244) | DELETE jobtag + DELETE tag + async removeTagFromArchiveJobs | Per tag deletion | **Partial** ✗ | Two DB deletes OK, but async archive update has race condition |\n| `RemoveJobTagByRequest()` (line 133-170) | Same as RemoveTag | REST API path | No transaction | Two writes without transaction |\n| `ImportTag()` (line 620-640) | INSERT jobtag (after CreateTag checked) | Per import | No transaction | Single insert in loop |\n\n**Key Findings:**\n- Tag operations pair DB writes with archive file updates without transactions\n- `RemoveTagByID()` spawns goroutine (line 241) for archive update - potential race condition\n\n---\n\n### SECTION 5: USER CONFIG WRITES\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/userConfig.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `UpdateConfig()` (line 110-125) | REPLACE configuration | Per UI config change | No transaction | Single REPLACE, minimal contention |\n\n---\n\n### SECTION 6: ARCHIVER WRITES (BACKGROUND WORKER)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| Archiving sequence (line 130-160) | UpdateMonitoringStatus (on error) + UpdateFootprint() + UpdateEnergy() + Exec | Per job archiving | **SEPARATE calls** ✗ | **CRITICAL**: UpdateFootprint/UpdateEnergy return builders, archiver executes 2 statements without transaction (lines 147-155) |\n\n**Critical Issue:**\n```\nstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\nstmt, err = jobRepo.UpdateFootprint(stmt, jobMeta) // Modifies stmt\nif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta) // Further modifies stmt\n// Only NOW is stmt.Exec() called - both updates in single statement\n// BUT UpdateMonitoringStatus() above is separate (line 130) = 2 separate writes\n```\n\n---\n\n### SECTION 7: IMPORTER WRITES (BULK OPERATIONS)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/initDB.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `InitDB()` (line 49-154) | Batch 100 jobs per transaction | Startup/full reimport | **Transactional batches** ✓ | GOOD: Groups 100 INSERT + tag operations per transaction |\n| Job insert in batch | TransactionAddNamed for job | Per 100 jobs | Within transaction ✓ | OK |\n| Tag insert in batch | TransactionAdd for tag/jobtag | Per tag in job | Within transaction ✓ | OK |\n\n**Key Finding:**\n- `InitDB()` is well-optimized with batch transactions (100 jobs each)\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `HandleImportFlag()` (line 38-121) | Per-file: archive.ImportJob + InsertJobDirect + loop ImportTag | Per import file | **NO transaction** ✗ | **ISSUE**: Each imported job is separate (no batching), tags inserted one-by-one |\n\n---\n\n### SECTION 8: REST API WRITES (internal/api)\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/job.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `startJob()` (REST POST /api/jobs/) | Start/tag write sequence | Per REST request | Caller handles via NATS/archiver | Delegates to repository |\n| `stopJob()` (REST POST /api/jobs/stop/) | Stop + UpdateMonitoringStatus | Per REST request | Separate calls | Job.Stop() + archiver trigger |\n| `editMeta()` (PATCH /api/jobs/edit_meta/{id}) | UpdateMetadata() | Per edit request | No transaction | Single DB write + archive |\n| `deleteJob()` | DeleteJobByID() | Per admin request | No transaction | Single delete |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateUser()` (line 76-128) | AddRole/RemoveRole/AddProject/RemoveProject conditionally | Per admin request | **NO transaction** ✗ | Each operation is separate UPDATE call (lines 94, 102, 110, 118) |\n| `createUser()` (line 147-193) | AddUser (with deprecated metric config loop) | Per user creation | No transaction | Delegates to repository |\n\n**Key Finding:**\n- API handlers directly call repository methods without batching\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `updateNodeStates()` (line 71-150) | BatchUpdateNodeStates() | Per REST /api/nodestats | **YES** ✓ | GOOD: Already using batch transaction wrapper |\n\n#### File: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n| Operation | Pattern | Frequency | Transaction Status | Issue |\n|-----------|---------|-----------|-------------------|-------|\n| `handleStartJob()` (line 180-247) | Start/tag sequence + RepositoryMutex | Per NATS job.start message | Mutex + conditional | Serializes duplicate checks across all job starts |\n| `handleStopJob()` (line 252-300+) | Stop + monitoring status | Per NATS job.stop message | No transaction | Separate calls |\n\n**Key Finding:**\n- `handleStartJob()` uses coarse `RepositoryMutex` for all job starts (limits concurrency to 1)\n\n---\n\n## SECTION 9: TRANSACTION SUPPORT INFRASTRUCTURE\n\n**File:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go`\n\n| Operation | Pattern | Available | Used | Issue |\n|-----------|---------|-----------|------|-------|\n| `TransactionInit()` | Begin transaction | YES | ✓ InitDB only | Underutilized outside of initialization |\n| `TransactionAdd()` | Exec within tx | YES | ✓ InitDB only | Not used in REST/NATS handlers |\n| `TransactionAddNamed()` | NamedExec within tx | YES | ✓ InitDB only | Designed for batch but only used in InitDB |\n| `Commit()` / `Rollback()` | Standard tx control | YES | ✓ | Available but not used in hot paths |\n\n---\n\n## HIGH-PRIORITY CONTENTION ISSUES\n\n### **CRITICAL (P0):**\n\n1. **Job Start Serialization** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go:206`\n - `RepositoryMutex.Lock()` serializes ALL concurrent job starts\n - Limits throughput to single job start at a time\n - Held during duplicate check + tag operations\n - **Impact:** NATS job start concurrency = 1\n\n2. **TransferCachedJobToMain Race Condition** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go:143-162`\n - INSERT + DELETE are separate `Exec()` calls\n - No transaction between them\n - If process crashes between INSERT and DELETE, job_cache row orphaned\n - **Impact:** Data loss / inconsistency risk during transfers\n\n3. **Tag Operations Without Transactions** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go`\n - `AddTag()`: DB INSERT jobtag + archive.UpdateTags() separate\n - `RemoveTag()`: DB DELETE jobtag + archive.UpdateTags() separate \n - `RemoveTagByID()`: spawns async goroutine for archive (race condition)\n - **Impact:** DB-archive inconsistency if either fails mid-operation\n\n4. **Archiver Multiple Separate Updates** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go:130,147-155`\n - UpdateMonitoringStatus (line 130) = separate write\n - UpdateFootprint + UpdateEnergy (lines 147-155) = combined in single statement\n - But if footprint fails, energy never updated\n - **Impact:** Incomplete job archiving data\n\n### **HIGH (P1):**\n\n5. **UpdateUser Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:206-276`\n - 4 separate UPDATE paths, no transaction\n - If admin modifies role+project, inconsistent state if second fails\n - **Impact:** User permission inconsistencies\n\n6. **AddUser Deprecated Loop** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go:167-184`\n - Loop with separate INSERT per cluster\n - Code marked DEPRECATED but still runs\n - **Impact:** N separate writes per user creation\n\n7. **HandleImportFlag No Batching** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go:38-121`\n - Each imported job is individual (no transaction)\n - Loop of InsertJobDirect + ImportTag calls\n - **Impact:** No batch optimization for bulk imports\n\n8. **DeleteJobsBefore Bulk Without Transaction** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:399-461`\n - DELETE from job WHERE start_time < ?\n - Potentially thousands of rows, single statement but no transaction\n - If cascades fail, inconsistent state\n - **Impact:** Data integrity during bulk cleanup\n\n9. **UpdateMetadata Split Write** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:268-306`\n - DB UPDATE + archive.UpdateMetadata() separate\n - No transaction\n - **Impact:** DB-archive inconsistency on failure\n\n10. **REST API User Updates Serialize** - `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/user.go:76-128`\n - Each role/project operation is separate REST handler call\n - updateUser() itself calls single repository method per request\n - **Impact:** User sees 4 separate state changes if adding role+project\n\n---\n\n## SUMMARY TABLE - WRITE OPERATIONS BY CONTENTION RISK\n\n| Component | Location | Writes/Batch | Transaction | Frequency | Risk Level |\n|-----------|----------|--------------|-------------|-----------|-----------|\n| Job Start (NATS) | nats.go:206 | 1-2 (job+tags) | **Mutex-only** | Per job start | **CRITICAL** |\n| Job Start (REST) | jobCreate.go | 1-2 (job+tags) | Mutex-only | Per job start | CRITICAL |\n| TransferCachedJobToMain | jobCreate.go:144,156 | 2 (INSERT+DELETE) | **None** | Cache flush | **CRITICAL** |\n| Tag Add/Remove | tags.go | 2 (DB+archive) | None | Per tag op | **HIGH** |\n| User Update | user.go:206 | 4 (separate UPDATEs) | None | Per admin update | **HIGH** |\n| Node State (batch) | node.go:257 | N (batched) | **Transaction** ✓ | Per REST request | LOW |\n| InitDB Import | initDB.go | 100 (batched) | **Transaction** ✓ | Startup | LOW |\n| Job Archive | archiveWorker.go | 3 (separate) | Partial ✗ | Per job archive | **HIGH** |\n\n---\n\n## RECOMMENDATIONS FOR OPTIMIZATION\n\n1. **Replace Mutex with Transactions** for job start operations\n2. **Batch TagOps** into single transaction for add/remove\n3. **Transactionalize** UpdateUser role/project changes\n4. **Wrap Archiver** updates in single transaction\n5. **Add Transactional Batching** to HandleImportFlag\n6. **Fix TransferCachedJobToMain** race by moving to transaction\n7. **Remove Deprecated User Config Loop** in AddUser\n\nAll paths are now documented with specific file paths, line numbers, and actionable issues."}],"totalDurationMs":81558,"totalTokens":120521,"totalToolUseCount":32,"usage":{"input_tokens":4,"cache_creation_input_tokens":3553,"cache_read_input_tokens":111500,"output_tokens":5464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3553},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"a93c39ad-d6d5-4a49-a8dd-8b7086258ea9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a337a0bd-8ef5-4b12-8203-5819f98796af","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","toolUseID":"toolu_01MKZPCCebdvpFXikwtfC4E6","timestamp":"2026-03-16T10:20:09.321Z","uuid":"d87792a1-a28e-4ae8-a132-5efa409e66c3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MKZPCCebdvpFXikwtfC4E6","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n - Iterates through all clusters and running jobs\n - Loads metrics from metric stores\n - Builds UPDATE statements and batches them per cluster\n - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n - Saves in-memory metric buffers to disk\n - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n - Processes `WALMessages` channel (from line protocol ingestion)\n - Writes binary WAL records to per-host WAL files\n - Manages file handles for efficient buffering\n - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n - Calls `Free(ms, t)` to remove old data from memory\n - Cleans buffer pool with `bufferPool.Clean()`\n - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n - \"archive\": Moves old checkpoint files to Parquet format\n - \"delete\": Deletes old checkpoint files\n- **Details:**\n - Uses worker pool for parallel processing\n - Supports both local filesystem and S3 targets\n - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n - Checks `runtime.MemStats.Alloc`\n - Force-frees buffers if memory cap exceeded\n - Calls `debug.FreeOSMemory()` to return memory to OS\n - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n - `jobRepo.FetchMetadata(job)` - read\n - `ArchiveJob(job, ctx)` - archive to external storage\n - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n - `jobRepo.MarkArchived(stmt, status)` - **writes**\n - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n - Called when job stops (via REST API `/api/jobs/stop_job/`)\n - Called when job stops via NATS API\n- **Details:**\n - Processes archiving asynchronously\n - Uses `sync.WaitGroup` for graceful shutdown\n - Updates job statistics (footprint, energy, monitoring status) atomically\n - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n - `jobRepo.FindAll()` - check for duplicates (read)\n - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n - `checkAndHandleStopJob()` - updates job state (line 1000+)\n - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n - `DELETE /api/jobs/delete_job/{id}`\n - `DELETE /api/jobs/delete_job/`\n - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"},{"type":"text","text":"agentId: a5a9b60b3b5a2afcf (for resuming to continue this agent's work if needed)\ntotal_tokens: 74431\ntool_uses: 31\nduration_ms: 85216"}]}]},"uuid":"7db18647-1759-41ac-94c1-d055b54e49db","timestamp":"2026-03-16T10:20:09.320Z","toolUseResult":{"status":"completed","prompt":"Explore the cc-backend codebase to find all periodic/scheduled tasks and background goroutines that write to the SQLite database. Look for:\n\n1. Goroutines started with `go func()` that do DB writes\n2. Ticker/timer-based loops that write to the DB\n3. Archiving operations that write to the DB\n4. Retention/cleanup operations\n5. Any cron-like scheduled operations\n\nSearch in:\n- cmd/cc-backend/ (main entry point, initialization)\n- internal/archiver/\n- internal/taskmanager/ or similar\n- internal/repository/\n- Any file with \"schedule\", \"ticker\", \"cron\", \"periodic\", \"retention\", \"cleanup\" patterns\n\nFor each, note the frequency, what DB operations it performs, and whether those operations are already batched/transacted.\n\nAlso look at the REST API file internal/api/rest.go to understand all registered routes and which ones do DB writes.","agentId":"a5a9b60b3b5a2afcf","content":[{"type":"text","text":"Perfect! Now I have gathered comprehensive information. Let me create a detailed summary of all the findings.\n\n## Summary Report: Periodic/Scheduled Tasks and Background Goroutines in cc-backend\n\nI've completed a comprehensive exploration of the cc-backend codebase to identify all periodic/scheduled tasks and background goroutines that write to SQLite. Here's the complete findings:\n\n---\n\n### **TASK MANAGER (gocron-based scheduler)**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/`\n\nThe main scheduler is initialized in `main.go` line 374:\n```go\ntaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n```\n\n#### **1. Commit Job Service (commitJobService.go)**\n- **Frequency:** Default 2 minutes (configurable via `commit-job-worker`)\n- **DB Operation:** `jobRepo.SyncJobs()` + callback hooks\n- **Type:** Duration-based job (gocron.DurationJob)\n- **Batching:** Handled via SyncJobs() call\n- **Details:** Syncs job cache and triggers job start hooks\n\n#### **2. Update Duration Worker (updateDurationService.go)**\n- **Frequency:** Default 5 minutes (configurable via `duration-worker`)\n- **DB Operation:** `jobRepo.UpdateDuration()`\n- **Type:** Duration-based job\n- **Batching:** Single call, likely batches updates internally\n- **Details:** Updates job duration fields in DB\n\n#### **3. Footprint Update Worker (updateFootprintService.go)**\n- **Frequency:** Default 10 minutes (configurable via `footprint-worker`)\n- **DB Operation:** Multiple per-cluster database updates using transactions\n - Uses `jobRepo.TransactionInit()`, `jobRepo.TransactionAdd()`, `jobRepo.TransactionEnd()`\n - Updates job statistics (avg/min/max) for running jobs\n- **Batching:** Proper transaction batching per cluster\n- **Details:** \n - Iterates through all clusters and running jobs\n - Loads metrics from metric stores\n - Builds UPDATE statements and batches them per cluster\n - Uses transactions to apply all updates atomically\n\n#### **4. Stop Jobs Exceeding Walltime (stopJobsExceedTime.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.StopJobsExceedingWalltimeBy(duration)` + GC\n- **Type:** Daily job (gocron.DailyJob)\n- **Batching:** Handled internally by repository function\n- **Conditional:** Only runs if `config.Keys.StopJobsExceedingWalltime > 0`\n\n#### **5. Retention Delete Service (retentionService.go)**\n- **Frequency:** Daily at 3:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched via `DeleteJobsBefore()`\n- **Conditional:** Only if retention policy = \"delete\"\n- **Details:** Deletes archived jobs older than configured age\n\n#### **6. Retention Copy Service (retentionService.go)**\n- **Frequency:** Daily at 4:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive operations)\n- **Type:** Daily job\n- **Conditional:** Only if retention policy = \"copy\"\n- **Details:** Copies jobs to secondary backend without DB deletions\n\n#### **7. Retention Move Service (retentionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded)\n- **DB Operation:** `jobRepo.FindJobsBetween()` + `jobRepo.DeleteJobsBefore()` + `jobRepo.Optimize()`\n- **Type:** Daily job\n- **Batching:** Deletes are batched\n- **Conditional:** Only if retention policy = \"move\"\n- **Details:** Moves jobs to secondary backend then deletes from DB\n\n#### **8. Compression Service (compressionService.go)**\n- **Frequency:** Daily at 5:00 AM (hardcoded, conflicts with move service)\n- **DB Operation:** `jobRepo.FindJobsBetween()` (no DB writes, only archive compression)\n- **Type:** Daily job\n- **Details:** Compresses old archived jobs\n- **Always enabled:** Even without explicit retention config\n\n#### **9. LDAP Sync Service (ldapSyncService.go)**\n- **Frequency:** Configurable via `LdapConfig.SyncInterval`\n- **DB Operation:** `auth.LdapAuth.Sync()` (user table updates, not job-related)\n- **Type:** Duration-based job\n- **Conditional:** Only if LDAP is configured\n\n#### **10. Node State Retention Delete Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:00 AM (hardcoded)\n- **DB Operation:** `nodeRepo.DeleteNodeStatesBefore(cutoff)`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"delete\"`\n- **Details:** Deletes node state records older than configured age (default 24 hours)\n\n#### **11. Node State Retention Move Service (nodestateRetentionService.go)**\n- **Frequency:** Daily at 2:30 AM (hardcoded)\n- **DB Operation:** `nodeRepo.FindNodeStatesBefore()` + `nodeRepo.DeleteNodeStatesBefore()`\n- **Type:** Daily job\n- **Conditional:** Only if `config.Keys.NodeStateRetention.Policy == \"move\"`\n- **Details:** Archives node states to Parquet then deletes from DB\n\n---\n\n### **METRIC STORE BACKGROUND WORKERS**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/`\n\nInitialized in `main.go` line 343:\n```go\nmetricstore.Init(mscfg, metrics, &wg)\n```\n\nThese goroutines run concurrently and handle metric data persistence. **Note: These do NOT directly write to the SQLite job/node database, but they handle metric checkpoint persistence to disk.**\n\n#### **1. Checkpointing Worker (checkpoint.go:94)**\n- **Frequency:** 12 hours (default, configurable via `checkpoint-interval`)\n- **Operation:** Periodic metric data checkpoints to JSON or binary WAL format\n- **Type:** Duration-based ticker\n- **Details:**\n - Saves in-memory metric buffers to disk\n - Two formats: JSON (human-readable) or WAL+binary (crash-safe)\n - Uses worker pool with `Keys.NumWorkers` (default: min(CPU/2+1, 10))\n - Rotates WAL files after successful checkpoint\n\n#### **2. WAL Staging Worker (walCheckpoint.go:118)**\n- **Frequency:** Continuous (processes messages from channel)\n- **Operation:** Writes individual metric entries to write-ahead logs\n- **Type:** Channel-based message processor\n- **Details:**\n - Processes `WALMessages` channel (from line protocol ingestion)\n - Writes binary WAL records to per-host WAL files\n - Manages file handles for efficient buffering\n - Handles WAL rotation on command\n\n#### **3. Retention Worker (metricstore.go:320)**\n- **Frequency:** Half of `Keys.RetentionInMemory` interval\n- **Operation:** Frees in-memory metric buffers older than retention period\n- **Type:** Duration-based ticker\n- **Details:**\n - Calls `Free(ms, t)` to remove old data from memory\n - Cleans buffer pool with `bufferPool.Clean()`\n - Does NOT write to SQLite, only memory management\n\n#### **4. Cleanup Worker (archive.go:23)**\n- **Frequency:** `Keys.RetentionInMemory` interval\n- **Operation:** Either archives or deletes old checkpoint files\n- **Type:** Duration-based ticker\n- **Modes:** \n - \"archive\": Moves old checkpoint files to Parquet format\n - \"delete\": Deletes old checkpoint files\n- **Details:**\n - Uses worker pool for parallel processing\n - Supports both local filesystem and S3 targets\n - Runs daily cleanup job\n\n#### **5. Memory Usage Tracker (metricstore.go:383)**\n- **Frequency:** `DefaultMemoryUsageTrackerInterval` (appears to be 5-10 min based on code)\n- **Operation:** Monitors memory usage, force-frees buffers if exceeding cap\n- **Type:** Duration-based ticker\n- **Details:**\n - Checks `runtime.MemStats.Alloc`\n - Force-frees buffers if memory cap exceeded\n - Calls `debug.FreeOSMemory()` to return memory to OS\n - Does NOT write to SQLite\n\n---\n\n### **ARCHIVER BACKGROUND WORKER**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go`\n\n**Initialization:** `main.go` line 373:\n```go\narchiver.Start(repository.GetJobRepository(), ctx)\n```\n\n#### **Archiving Worker (archiveWorker.go:110)**\n- **Frequency:** On-demand (triggered by `TriggerArchiving()` calls)\n- **DB Operations:**\n - `jobRepo.FetchMetadata(job)` - read\n - `ArchiveJob(job, ctx)` - archive to external storage\n - `jobRepo.UpdateFootprint(stmt, jobMeta)` - **writes**\n - `jobRepo.UpdateEnergy(stmt, jobMeta)` - **writes**\n - `jobRepo.MarkArchived(stmt, status)` - **writes**\n - `jobRepo.Execute(stmt)` - executes composite update\n- **Type:** Channel-based consumer (buffered channel, capacity 128)\n- **Batching:** Single UPDATE statement with multiple SET clauses\n- **Trigger Points:**\n - Called when job stops (via REST API `/api/jobs/stop_job/`)\n - Called when job stops via NATS API\n- **Details:**\n - Processes archiving asynchronously\n - Uses `sync.WaitGroup` for graceful shutdown\n - Updates job statistics (footprint, energy, monitoring status) atomically\n - Calls job stop hooks after successful archiving\n\n---\n\n### **REST API ENDPOINTS THAT WRITE TO DATABASE**\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/`\n\n#### **Job Start Endpoint** (`job.go:717`)\n- **Path:** `POST/PUT /api/jobs/start_job/`\n- **DB Operations:**\n - `jobRepo.FindAll()` - check for duplicates (read)\n - `jobRepo.StartDirect()` or `jobRepo.Start()` - **inserts new job**\n - `jobRepo.AddTagOrCreate()` - **adds tags** (if provided)\n- **Concurrency:** Uses `RepositoryMutex` to prevent race conditions on duplicate checks\n- **Batching:** Individual calls, not explicitly batched\n- **Async:** Tag addition is async (after response)\n\n#### **Job Stop Endpoint** (`job.go:805`)\n- **Path:** `POST/PUT /api/jobs/stop_job/`\n- **DB Operations:**\n - `jobRepo.FindCached()` or `jobRepo.Find()` - read\n - `checkAndHandleStopJob()` - updates job state (line 1000+)\n - Triggers `archiver.TriggerArchiving()` - queues async archiving\n- **Details:** Moves job to stopped state, triggers async archiving\n\n#### **Update Node States Endpoint** (`node.go:71`)\n- **Path:** `POST/PUT /api/nodestate/`\n- **DB Operations:**\n - `nodeRepo.InsertNodeStateBegin()` - **starts transaction**\n - `nodeRepo.InsertNodeState()` - **inserts node states** (batched per subcluster)\n - `nodeRepo.InsertNodeStateEnd()` - **commits transaction**\n- **Batching:** Per-subcluster transactions\n- **Details:** Updates node allocation/state information\n\n#### **Tag Job Endpoint** (`job.go:545`)\n- **Path:** `POST/PATCH /api/jobs/tag_job/{id}`\n- **DB Operations:** `jobRepo.AddTagOrCreate()` - **inserts/creates tags**\n- **Batching:** No explicit batching\n\n#### **Remove Tag Endpoint** (`job.go:609`)\n- **Path:** `DELETE /api/jobs/tag_job/{id}`\n- **DB Operations:** Tag removal operations\n- **Batching:** No explicit batching\n\n#### **Delete Job Endpoints** (`job.go:852, 897, 950`)\n- **Paths:** \n - `DELETE /api/jobs/delete_job/{id}`\n - `DELETE /api/jobs/delete_job/`\n - `DELETE /api/jobs/delete_job_before/{ts}`\n- **DB Operations:** `jobRepo.Delete*()` functions\n- **Details:** Remove jobs from database\n\n#### **Edit Meta Endpoint** (`job.go`)\n- **Path:** `PATCH /api/jobs/edit_meta/{id}`\n- **DB Operations:** Updates job metadata\n- **Details:** User-facing metadata updates\n\n---\n\n### **NATS API SUBSCRIPTIONS** (Alternative to REST)\n\n**Location:** `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go`\n\n**Initialization:** `server.go:282-287` - conditionally started if `config.Keys.APISubjects` configured\n\n#### **Job Event Subscription** (`nats.go:146`)\n- **Subject:** `config.Keys.APISubjects.SubjectJobEvent` (e.g., \"cc.job.event\")\n- **Message Format:** InfluxDB line protocol with JSON payload\n- **Operations:** Same as REST endpoints (start_job, stop_job)\n- **Concurrency Control:** Uses semaphore (`jobSem` buffer of 8) to limit concurrent processing\n- **Details:** Asynchronous job processing via NATS messages\n\n#### **Node State Subscription** (`nats.go`)\n- **Subject:** `config.Keys.APISubjects.SubjectNodeState` (e.g., \"cc.node.state\")\n- **Operations:** Same as REST node state updates\n- **Concurrency Control:** Uses semaphore (`nodeSem` buffer of 2)\n\n---\n\n### **INITIALIZATION AND SHUTDOWN FLOW**\n\n**Main Startup Sequence:** (`main.go` lines 343-374)\n1. `metricstore.Init()` - starts 5 background workers\n2. `archiver.Start()` - starts archiving worker goroutine\n3. `taskmanager.Start()` - starts gocron scheduler with 11 periodic tasks\n\n**Graceful Shutdown Sequence:** (`server.go:418-441`)\n1. Server shutdown (30s timeout)\n2. NATS client close\n3. `metricstore.Shutdown()` - cancels metric worker contexts\n4. `archiver.Shutdown(10s)` - waits for pending archiving jobs with timeout\n5. `taskmanager.Shutdown()` - stops gocron scheduler\n\n---\n\n### **TRANSACTION/BATCHING SUMMARY**\n\n| Component | Uses Transactions | Batching Strategy |\n|-----------|-------------------|-------------------|\n| Footprint Worker | YES (per-cluster) | Builds update statements, executes in transaction |\n| Node State Updates | YES (per-subcluster) | `InsertNodeStateBegin/End` wrapper |\n| Job Start | NO | Individual insert (has mutex for duplicate prevention) |\n| Job Stop | NO | Async archiving triggered separately |\n| Retention Delete | Implicit | `DeleteJobsBefore()` handles batching |\n| Stop Jobs Exceed | Implicit | `StopJobsExceedingWalltimeBy()` batches |\n| Archiver | NO | Single UPDATE statement with multiple SET clauses |\n| LDAP Sync | Dependent | Implementation in auth package |\n| Node State Retention | Implicit | `DeleteNodeStatesBefore()` batches |\n\n---\n\n### **FILE LOCATIONS SUMMARY**\n\n**Critical Files:**\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/` - 11 periodic task definitions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go` - 5 background workers\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go` - async archiving\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go` - REST route registration\n- `/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go` - NATS subscriptions\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go` - initialization sequence\n- `/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go` - shutdown sequence"}],"totalDurationMs":85216,"totalTokens":74431,"totalToolUseCount":31,"usage":{"input_tokens":0,"cache_creation_input_tokens":2249,"cache_read_input_tokens":67937,"output_tokens":4245,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2249},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"f0935097-6b79-44e4-81d4-4ce525f0f4f3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7db18647-1759-41ac-94c1-d055b54e49db","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nGood exploration results. Let me now read a few critical files to validate the findings before writing the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"31a6461a-2879-4aad-914b-acdc223c3944","timestamp":"2026-03-16T10:20:15.191Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"31a6461a-2879-4aad-914b-acdc223c3944","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NPCSF89CyztSbhAD6AQGZK","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","timestamp":"2026-03-16T10:20:15.643Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","toolUseID":"toolu_01NPCSF89CyztSbhAD6AQGZK","timestamp":"2026-03-16T10:20:15.650Z","uuid":"b483e11b-ea24-4887-9f59-9b70bc1863e6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f7a0639e-a4dc-4206-a497-ea38bbed526d","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NPCSF89CyztSbhAD6AQGZK","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides data access and persistence layer for ClusterCockpit.\n 7→//\n 8→// This file implements tag management functionality for job categorization and classification.\n 9→// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n 10→// (via tagger plugins). The implementation includes role-based access control through\n 11→// tag scopes and maintains bidirectional consistency between the SQL database and\n 12→// the file-based job archive.\n 13→//\n 14→// Database Schema:\n 15→//\n 16→//\tCREATE TABLE tag (\n 17→//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n 18→//\t tag_type VARCHAR(255) NOT NULL,\n 19→//\t tag_name VARCHAR(255) NOT NULL,\n 20→//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n 21→//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n 22→//\t);\n 23→//\n 24→//\tCREATE TABLE jobtag (\n 25→//\t job_id INTEGER,\n 26→//\t tag_id INTEGER,\n 27→//\t PRIMARY KEY (job_id, tag_id),\n 28→//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n 29→//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n 30→//\t);\n 31→//\n 32→// The jobtag junction table enables many-to-many relationships between jobs and tags.\n 33→// CASCADE deletion ensures referential integrity when jobs or tags are removed.\n 34→package repository\n 35→\n 36→import (\n 37→\t\"errors\"\n 38→\t\"fmt\"\n 39→\t\"strings\"\n 40→\n 41→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 42→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 43→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 44→\tsq \"github.com/Masterminds/squirrel\"\n 45→)\n 46→\n 47→// Tag Scope Rules:\n 48→//\n 49→// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n 50→//\n 51→// 1. \"global\" - Visible to all users, can be used by anyone\n 52→// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n 53→//\n 54→// 2. \"private\" - Only visible to the creating user\n 55→// Example: Personal notes like \"needs-review\", \"interesting-case\"\n 56→//\n 57→// 3. \"admin\" - Only visible to users with admin or support roles\n 58→// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n 59→//\n 60→// Authorization Rules:\n 61→// - Regular users can only create/see \"global\" and their own \"private\" tags\n 62→// - Admin/Support can create/see all scopes including \"admin\" tags\n 63→// - Users can only add tags to jobs they have permission to view\n 64→// - Tag scope is enforced at query time in GetTags() and CountTags()\n 65→\n 66→// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n 67→// Requires user authentication for security checks.\n 68→//\n 69→// The user must have permission to view the job. Tag visibility is determined by scope:\n 70→// - \"global\" tags: visible to all users\n 71→// - \"private\" tags: only visible to the tag creator\n 72→// - \"admin\" tags: only visible to admin/support users\n 73→func (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n 74→\tj, err := r.FindByIDWithUser(user, job)\n 75→\tif err != nil {\n 76→\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 81→\t\treturn r.GetTags(user, &job)\n 82→\t})\n 83→}\n 84→\n 85→// AddTagDirect adds a tag without user security checks.\n 86→// Use only for internal/admin operations.\n 87→func (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n 88→\tj, err := r.FindByIDDirect(job)\n 89→\tif err != nil {\n 90→\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n 91→\t\treturn nil, err\n 92→\t}\n 93→\n 94→\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n 95→\t\treturn r.GetTagsDirect(&job)\n 96→\t})\n 97→}\n 98→\n 99→// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n 100→// Requires user authentication for security checks. Used by GraphQL API.\n 101→func (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n 102→\tj, err := r.FindByIDWithUser(user, job)\n 103→\tif err != nil {\n 104→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n 105→\t\treturn nil, err\n 106→\t}\n 107→\n 108→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n 109→\n 110→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 111→\t\ts, _, _ := q.ToSql()\n 112→\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n 113→\t\treturn nil, err\n 114→\t}\n 115→\n 116→\ttags, err := r.GetTags(user, &job)\n 117→\tif err != nil {\n 118→\t\tcclog.Warn(\"Error while getting tags for job\")\n 119→\t\treturn nil, err\n 120→\t}\n 121→\n 122→\tarchiveTags, err := r.getArchiveTags(&job)\n 123→\tif err != nil {\n 124→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n 125→\t\treturn nil, err\n 126→\t}\n 127→\n 128→\treturn tags, archive.UpdateTags(j, archiveTags)\n 129→}\n 130→\n 131→// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n 132→// Requires user authentication for security checks. Used by REST API.\n 133→func (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n 134→\t// Get Tag ID to delete\n 135→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 136→\tif !exists {\n 137→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 138→\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 139→\t}\n 140→\n 141→\t// Get Job\n 142→\tj, err := r.FindByIDWithUser(user, job)\n 143→\tif err != nil {\n 144→\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n 145→\t\treturn nil, err\n 146→\t}\n 147→\n 148→\t// Handle Delete\n 149→\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n 150→\n 151→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 152→\t\ts, _, _ := q.ToSql()\n 153→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\ttags, err := r.GetTags(user, &job)\n 158→\tif err != nil {\n 159→\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 160→\t\treturn nil, err\n 161→\t}\n 162→\n 163→\tarchiveTags, err := r.getArchiveTags(&job)\n 164→\tif err != nil {\n 165→\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n 166→\t\treturn nil, err\n 167→\t}\n 168→\n 169→\treturn tags, archive.UpdateTags(j, archiveTags)\n 170→}\n 171→\n 172→// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n 173→//\n 174→// This function is called asynchronously (via goroutine) after removing a tag from the database\n 175→// to synchronize the file-based job archive with the database state. Errors are logged but not\n 176→// returned since this runs in the background.\n 177→//\n 178→// Parameters:\n 179→// - jobIds: Database IDs of all jobs that had the deleted tag\n 180→//\n 181→// Implementation note: Each job is processed individually to handle partial failures gracefully.\n 182→// If one job fails to update, others will still be processed.\n 183→func (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n 184→\tfor _, j := range jobIds {\n 185→\t\ttags, err := r.getArchiveTags(&j)\n 186→\t\tif err != nil {\n 187→\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n 188→\t\t\tcontinue\n 189→\t\t}\n 190→\n 191→\t\tjob, err := r.FindByIDDirect(j)\n 192→\t\tif err != nil {\n 193→\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n 194→\t\t\tcontinue\n 195→\t\t}\n 196→\n 197→\t\tarchive.UpdateTags(job, tags)\n 198→\t}\n 199→}\n 200→\n 201→// Removes a tag from db by tag info\n 202→// Used by REST API. Does not update tagged jobs in Job archive.\n 203→func (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n 204→\t// Get Tag ID to delete\n 205→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 206→\tif !exists {\n 207→\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 208→\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n 209→\t}\n 210→\n 211→\treturn r.RemoveTagByID(tagID)\n 212→}\n 213→\n 214→// Removes a tag from db by tag id\n 215→// Used by GraphQL API.\n 216→func (r *JobRepository) RemoveTagByID(tagID int64) error {\n 217→\tjobIds, err := r.FindJobIdsByTag(tagID)\n 218→\tif err != nil {\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// Handle Delete JobTagTable\n 223→\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n 224→\n 225→\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n 226→\t\ts, _, _ := qJobTag.ToSql()\n 227→\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n 228→\t\treturn err\n 229→\t}\n 230→\n 231→\t// Handle Delete TagTable\n 232→\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n 233→\n 234→\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n 235→\t\ts, _, _ := qTag.ToSql()\n 236→\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n 237→\t\treturn err\n 238→\t}\n 239→\n 240→\t// asynchronously update archive jobs\n 241→\tgo r.removeTagFromArchiveJobs(jobIds)\n 242→\n 243→\treturn nil\n 244→}\n 245→\n 246→// CreateTag creates a new tag with the specified type, name, and scope.\n 247→// Returns the database ID of the newly created tag.\n 248→//\n 249→// Scope defaults to \"global\" if empty string is provided.\n 250→// Valid scopes: \"global\", \"private\", \"admin\"\n 251→//\n 252→// Example:\n 253→//\n 254→//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\n 255→func (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 256→\t// Default to \"Global\" scope if none defined\n 257→\tif tagScope == \"\" {\n 258→\t\ttagScope = \"global\"\n 259→\t}\n 260→\n 261→\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n 262→\n 263→\tres, err := q.RunWith(r.stmtCache).Exec()\n 264→\tif err != nil {\n 265→\t\ts, _, _ := q.ToSql()\n 266→\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n 267→\t\treturn 0, err\n 268→\t}\n 269→\n 270→\treturn res.LastInsertId()\n 271→}\n 272→\n 273→// CountTags returns all tags visible to the user and the count of jobs for each tag.\n 274→// Applies scope-based filtering to respect tag visibility rules.\n 275→//\n 276→// Returns:\n 277→// - tags: slice of tags the user can see\n 278→// - counts: map of tag name to job count\n 279→// - err: any error encountered\n 280→func (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n 281→\ttags = make([]schema.Tag, 0, 100)\n 282→\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n 283→\tif err != nil {\n 284→\t\treturn nil, nil, err\n 285→\t}\n 286→\tdefer xrows.Close()\n 287→\n 288→\tfor xrows.Next() {\n 289→\t\tvar t schema.Tag\n 290→\t\tif err = xrows.StructScan(&t); err != nil {\n 291→\t\t\treturn nil, nil, err\n 292→\t\t}\n 293→\n 294→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 295→\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n 296→\t\tif err != nil {\n 297→\t\t\treturn nil, nil, err\n 298→\t\t}\n 299→\t\tif readable {\n 300→\t\t\ttags = append(tags, t)\n 301→\t\t}\n 302→\t}\n 303→\n 304→\tif err := xrows.Err(); err != nil {\n 305→\t\treturn nil, nil, err\n 306→\t}\n 307→\n 308→\t// Query and Count Jobs with attached Tags\n 309→\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n 310→\t\tFrom(\"tag t\").\n 311→\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n 312→\t\tGroupBy(\"t.tag_type, t.tag_name\")\n 313→\n 314→\t// Build scope list for filtering\n 315→\tvar scopeBuilder strings.Builder\n 316→\tscopeBuilder.WriteString(`\"global\"`)\n 317→\tif user != nil {\n 318→\t\tscopeBuilder.WriteString(`,\"`)\n 319→\t\tscopeBuilder.WriteString(user.Username)\n 320→\t\tscopeBuilder.WriteString(`\"`)\n 321→\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 322→\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n 323→\t\t}\n 324→\t}\n 325→\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n 326→\n 327→\t// Handle Job Ownership\n 328→\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n 329→\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n 330→\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n 331→\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n 332→\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n 333→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n 334→\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n 335→\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n 336→\t}\n 337→\n 338→\trows, err := q.RunWith(r.stmtCache).Query()\n 339→\tif err != nil {\n 340→\t\treturn nil, nil, err\n 341→\t}\n 342→\tdefer rows.Close()\n 343→\n 344→\tcounts = make(map[string]int)\n 345→\tfor rows.Next() {\n 346→\t\tvar tagType string\n 347→\t\tvar tagName string\n 348→\t\tvar tagID int\n 349→\t\tvar count int\n 350→\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n 351→\t\t\treturn nil, nil, err\n 352→\t\t}\n 353→\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n 354→\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n 355→\t}\n 356→\terr = rows.Err()\n 357→\n 358→\treturn tags, counts, err\n 359→}\n 360→\n 361→var (\n 362→\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n 363→\tErrTagNotFound = errors.New(\"the tag does not exist\")\n 364→\n 365→\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n 366→\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n 367→\n 368→\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n 369→\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n 370→\n 371→\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n 372→\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n 373→\n 374→\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n 375→\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n 376→\n 377→\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n 378→\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n 379→)\n 380→\n 381→// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n 382→//\n 383→// This function performs three operations atomically:\n 384→// 1. Inserts the job-tag association into the jobtag junction table\n 385→// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n 386→// 3. Updates the job archive with the new tags to maintain database-archive consistency\n 387→//\n 388→// Parameters:\n 389→// - jobId: Database ID of the job\n 390→// - tagId: Database ID of the tag to associate\n 391→// - job: Full job object needed for archive update\n 392→// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n 393→//\n 394→// Returns the complete updated tag list for the job or an error.\n 395→//\n 396→// Note: This function does NOT validate tag scope permissions - callers must perform\n 397→// authorization checks before invoking this helper.\n 398→func (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n 399→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 400→\n 401→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 402→\t\ts, _, _ := q.ToSql()\n 403→\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n 404→\t\treturn nil, err\n 405→\t}\n 406→\n 407→\ttags, err := getTags()\n 408→\tif err != nil {\n 409→\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n 410→\t\treturn nil, err\n 411→\t}\n 412→\n 413→\tarchiveTags, err := r.getArchiveTags(&jobID)\n 414→\tif err != nil {\n 415→\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n 416→\t\treturn nil, err\n 417→\t}\n 418→\n 419→\treturn tags, archive.UpdateTags(job, archiveTags)\n 420→}\n 421→\n 422→// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n 423→// If such a tag does not yet exist, it is created.\n 424→func (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n 425→\t// Default to \"Global\" scope if none defined\n 426→\tif tagScope == \"\" {\n 427→\t\ttagScope = \"global\"\n 428→\t}\n 429→\n 430→\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n 431→\tif err != nil {\n 432→\t\treturn 0, err\n 433→\t}\n 434→\tif !writable {\n 435→\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n 436→\t}\n 437→\n 438→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 439→\tif !exists {\n 440→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 441→\t\tif err != nil {\n 442→\t\t\treturn 0, err\n 443→\t\t}\n 444→\t}\n 445→\n 446→\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n 447→\t\treturn 0, err\n 448→\t}\n 449→\n 450→\treturn tagID, nil\n 451→}\n 452→\n 453→func (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n 454→\ttagScope := \"global\"\n 455→\n 456→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 457→\tif !exists {\n 458→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 459→\t\tif err != nil {\n 460→\t\t\treturn 0, err\n 461→\t\t}\n 462→\t}\n 463→\n 464→\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n 465→\n 466→\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n 467→\t\treturn 0, err\n 468→\t}\n 469→\n 470→\treturn tagID, nil\n 471→}\n 472→\n 473→func (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n 474→\tvar id int64\n 475→\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n 476→\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n 477→\t\tWhere(\"tag.tag_name = ?\", tagName)\n 478→\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n 479→\tif err != nil {\n 480→\t\treturn false\n 481→\t} else {\n 482→\t\treturn true\n 483→\t}\n 484→}\n 485→\n 486→// TagID returns the database id of the tag with the specified type and name.\n 487→func (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n 488→\texists = true\n 489→\tif err := sq.Select(\"id\").From(\"tag\").\n 490→\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n 491→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n 492→\t\texists = false\n 493→\t}\n 494→\treturn\n 495→}\n 496→\n 497→// TagInfo returns the database infos of the tag with the specified id.\n 498→func (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n 499→\texists = true\n 500→\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n 501→\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n 502→\t\texists = false\n 503→\t}\n 504→\treturn\n 505→}\n 506→\n 507→// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\n 508→func (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n 509→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 510→\tif job != nil {\n 511→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 512→\t}\n 513→\n 514→\trows, err := q.RunWith(r.stmtCache).Query()\n 515→\tif err != nil {\n 516→\t\ts, _, _ := q.ToSql()\n 517→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 518→\t\treturn nil, err\n 519→\t}\n 520→\tdefer rows.Close()\n 521→\n 522→\ttags := make([]*schema.Tag, 0)\n 523→\tfor rows.Next() {\n 524→\t\ttag := &schema.Tag{}\n 525→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 526→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n 527→\t\t\treturn nil, err\n 528→\t\t}\n 529→\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n 530→\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n 531→\t\tif err != nil {\n 532→\t\t\treturn nil, err\n 533→\t\t}\n 534→\t\tif readable {\n 535→\t\t\ttags = append(tags, tag)\n 536→\t\t}\n 537→\t}\n 538→\n 539→\tif err := rows.Err(); err != nil {\n 540→\t\treturn nil, err\n 541→\t}\n 542→\n 543→\treturn tags, nil\n 544→}\n 545→\n 546→func (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n 547→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 548→\tif job != nil {\n 549→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 550→\t}\n 551→\n 552→\trows, err := q.RunWith(r.stmtCache).Query()\n 553→\tif err != nil {\n 554→\t\ts, _, _ := q.ToSql()\n 555→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 556→\t\treturn nil, err\n 557→\t}\n 558→\tdefer rows.Close()\n 559→\n 560→\ttags := make([]*schema.Tag, 0)\n 561→\tfor rows.Next() {\n 562→\t\ttag := &schema.Tag{}\n 563→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 564→\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n 565→\t\t\treturn nil, err\n 566→\t\t}\n 567→\t\ttags = append(tags, tag)\n 568→\t}\n 569→\n 570→\tif err := rows.Err(); err != nil {\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\treturn tags, nil\n 575→}\n 576→\n 577→// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n 578→//\n 579→// This internal function is used exclusively for job archive synchronization where we need\n 580→// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n 581→// filters by scope, this returns the complete unfiltered tag list.\n 582→//\n 583→// Parameters:\n 584→// - job: Pointer to job database ID, or nil to return all tags in the system\n 585→//\n 586→// Returns all tags without scope filtering, used only for archive operations.\n 587→//\n 588→// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\n 589→func (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n 590→\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n 591→\tif job != nil {\n 592→\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n 593→\t}\n 594→\n 595→\trows, err := q.RunWith(r.stmtCache).Query()\n 596→\tif err != nil {\n 597→\t\ts, _, _ := q.ToSql()\n 598→\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n 599→\t\treturn nil, err\n 600→\t}\n 601→\tdefer rows.Close()\n 602→\n 603→\ttags := make([]*schema.Tag, 0)\n 604→\tfor rows.Next() {\n 605→\t\ttag := &schema.Tag{}\n 606→\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n 607→\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n 608→\t\t\treturn nil, err\n 609→\t\t}\n 610→\t\ttags = append(tags, tag)\n 611→\t}\n 612→\n 613→\tif err := rows.Err(); err != nil {\n 614→\t\treturn nil, err\n 615→\t}\n 616→\n 617→\treturn tags, nil\n 618→}\n 619→\n 620→func (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n 621→\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n 622→\n 623→\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n 624→\tif !exists {\n 625→\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n 626→\t\tif err != nil {\n 627→\t\t\treturn err\n 628→\t\t}\n 629→\t}\n 630→\n 631→\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n 632→\n 633→\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n 634→\t\ts, _, _ := q.ToSql()\n 635→\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n 636→\t\treturn err\n 637→\t}\n 638→\n 639→\treturn nil\n 640→}\n 641→\n 642→// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n 643→//\n 644→// This function implements the tag scope authorization matrix:\n 645→//\n 646→//\tScope | Read Access | Write Access\n 647→//\t-------------|----------------------------------|----------------------------------\n 648→//\t\"global\" | All users | Admin, Support, API-only\n 649→//\t\"admin\" | Admin, Support | Admin, API-only\n 650→//\t | Owner only | Owner only (private tags)\n 651→//\n 652→// Parameters:\n 653→// - user: User attempting the operation (must not be nil)\n 654→// - operation: Either \"read\" or \"write\"\n 655→// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n 656→//\n 657→// Returns:\n 658→// - pass: true if authorized, false if denied\n 659→// - err: error only if operation is invalid or user is nil\n 660→//\n 661→// Special cases:\n 662→// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n 663→// - Private tags use the username as scope, granting exclusive access to that user\n 664→func (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n 665→\tif user != nil {\n 666→\t\tswitch {\n 667→\t\tcase operation == \"write\" && scope == \"admin\":\n 668→\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 669→\t\t\t\treturn true, nil\n 670→\t\t\t}\n 671→\t\t\treturn false, nil\n 672→\t\tcase operation == \"write\" && scope == \"global\":\n 673→\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n 674→\t\t\t\treturn true, nil\n 675→\t\t\t}\n 676→\t\t\treturn false, nil\n 677→\t\tcase operation == \"write\" && scope == user.Username:\n 678→\t\t\treturn true, nil\n 679→\t\tcase operation == \"read\" && scope == \"admin\":\n 680→\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n 681→\t\tcase operation == \"read\" && scope == \"global\":\n 682→\t\t\treturn true, nil\n 683→\t\tcase operation == \"read\" && scope == user.Username:\n 684→\t\t\treturn true, nil\n 685→\t\tdefault:\n 686→\t\t\tif operation == \"read\" || operation == \"write\" {\n 687→\t\t\t\t// No acceptable scope: deny tag\n 688→\t\t\t\treturn false, nil\n 689→\t\t\t} else {\n 690→\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n 691→\t\t\t}\n 692→\t\t}\n 693→\t} else {\n 694→\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n 695→\t}\n 696→}\n 697→"}]},"uuid":"eab81478-d796-4621-b2c6-86dea55f106f","timestamp":"2026-03-16T10:20:15.650Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/tags.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides data access and persistence layer for ClusterCockpit.\n//\n// This file implements tag management functionality for job categorization and classification.\n// Tags support both manual assignment (via REST/GraphQL APIs) and automatic detection\n// (via tagger plugins). The implementation includes role-based access control through\n// tag scopes and maintains bidirectional consistency between the SQL database and\n// the file-based job archive.\n//\n// Database Schema:\n//\n//\tCREATE TABLE tag (\n//\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n//\t tag_type VARCHAR(255) NOT NULL,\n//\t tag_name VARCHAR(255) NOT NULL,\n//\t tag_scope VARCHAR(255) NOT NULL DEFAULT \"global\",\n//\t CONSTRAINT tag_unique UNIQUE (tag_type, tag_name, tag_scope)\n//\t);\n//\n//\tCREATE TABLE jobtag (\n//\t job_id INTEGER,\n//\t tag_id INTEGER,\n//\t PRIMARY KEY (job_id, tag_id),\n//\t FOREIGN KEY (job_id) REFERENCES job(id) ON DELETE CASCADE,\n//\t FOREIGN KEY (tag_id) REFERENCES tag(id) ON DELETE CASCADE\n//\t);\n//\n// The jobtag junction table enables many-to-many relationships between jobs and tags.\n// CASCADE deletion ensures referential integrity when jobs or tags are removed.\npackage repository\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// Tag Scope Rules:\n//\n// Tags in ClusterCockpit have three visibility scopes that control who can see and use them:\n//\n// 1. \"global\" - Visible to all users, can be used by anyone\n// Example: System-generated tags like \"energy-efficient\", \"failed\", \"short\"\n//\n// 2. \"private\" - Only visible to the creating user\n// Example: Personal notes like \"needs-review\", \"interesting-case\"\n//\n// 3. \"admin\" - Only visible to users with admin or support roles\n// Example: Internal notes like \"hardware-issue\", \"billing-problem\"\n//\n// Authorization Rules:\n// - Regular users can only create/see \"global\" and their own \"private\" tags\n// - Admin/Support can create/see all scopes including \"admin\" tags\n// - Users can only add tags to jobs they have permission to view\n// - Tag scope is enforced at query time in GetTags() and CountTags()\n\n// AddTag adds the tag with id `tagId` to the job with the database id `jobId`.\n// Requires user authentication for security checks.\n//\n// The user must have permission to view the job. Tag visibility is determined by scope:\n// - \"global\" tags: visible to all users\n// - \"private\" tags: only visible to the tag creator\n// - \"admin\" tags: only visible to admin/support users\nfunc (r *JobRepository) AddTag(user *schema.User, job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d for user %s: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTags(user, &job)\n\t})\n}\n\n// AddTagDirect adds a tag without user security checks.\n// Use only for internal/admin operations.\nfunc (r *JobRepository) AddTagDirect(job int64, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDDirect(job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error finding job %d: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn r.addJobTag(job, tag, j, func() ([]*schema.Tag, error) {\n\t\treturn r.GetTagsDirect(&job)\n\t})\n}\n\n// RemoveTag removes the tag with the database id `tag` from the job with the database id `job`.\n// Requires user authentication for security checks. Used by GraphQL API.\nfunc (r *JobRepository) RemoveTag(user *schema.User, job, tag int64) ([]*schema.Tag, error) {\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tag)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting tags for job\")\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveTag: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// RemoveJobTagByRequest removes a tag from the job with the database id `job` by tag type, name, and scope.\n// Requires user authentication for security checks. Used by REST API.\nfunc (r *JobRepository) RemoveJobTagByRequest(user *schema.User, job int64, tagType string, tagName string, tagScope string) ([]*schema.Tag, error) {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn nil, fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\t// Get Job\n\tj, err := r.FindByIDWithUser(user, job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while finding job %d for user %s during tag removal by request: %v\", job, user.Username, err)\n\t\treturn nil, err\n\t}\n\n\t// Handle Delete\n\tq := sq.Delete(\"jobtag\").Where(\"jobtag.job_id = ?\", job).Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := r.GetTags(user, &job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&job)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while getting archive tags for job %d in RemoveJobTagByRequest: %v\", job, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(j, archiveTags)\n}\n\n// removeTagFromArchiveJobs updates the job archive for all affected jobs after a tag deletion.\n//\n// This function is called asynchronously (via goroutine) after removing a tag from the database\n// to synchronize the file-based job archive with the database state. Errors are logged but not\n// returned since this runs in the background.\n//\n// Parameters:\n// - jobIds: Database IDs of all jobs that had the deleted tag\n//\n// Implementation note: Each job is processed individually to handle partial failures gracefully.\n// If one job fails to update, others will still be processed.\nfunc (r *JobRepository) removeTagFromArchiveJobs(jobIds []int64) {\n\tfor _, j := range jobIds {\n\t\ttags, err := r.getArchiveTags(&j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting tags for job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tjob, err := r.FindByIDDirect(j)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while getting job %d\", j)\n\t\t\tcontinue\n\t\t}\n\n\t\tarchive.UpdateTags(job, tags)\n\t}\n}\n\n// Removes a tag from db by tag info\n// Used by REST API. Does not update tagged jobs in Job archive.\nfunc (r *JobRepository) RemoveTagByRequest(tagType string, tagName string, tagScope string) error {\n\t// Get Tag ID to delete\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\tcclog.Warnf(\"Tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t\treturn fmt.Errorf(\"tag does not exist (name, type, scope): %s, %s, %s\", tagName, tagType, tagScope)\n\t}\n\n\treturn r.RemoveTagByID(tagID)\n}\n\n// Removes a tag from db by tag id\n// Used by GraphQL API.\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n\tjobIds, err := r.FindJobIdsByTag(tagID)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\t// Handle Delete JobTagTable\n\tqJobTag := sq.Delete(\"jobtag\").Where(\"jobtag.tag_id = ?\", tagID)\n\n\tif _, err := qJobTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qJobTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'jobTag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// Handle Delete TagTable\n\tqTag := sq.Delete(\"tag\").Where(\"tag.id = ?\", tagID)\n\n\tif _, err := qTag.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := qTag.ToSql()\n\t\tcclog.Errorf(\"Error removing tag from table 'tag' with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\t// asynchronously update archive jobs\n\tgo r.removeTagFromArchiveJobs(jobIds)\n\n\treturn nil\n}\n\n// CreateTag creates a new tag with the specified type, name, and scope.\n// Returns the database ID of the newly created tag.\n//\n// Scope defaults to \"global\" if empty string is provided.\n// Valid scopes: \"global\", \"private\", \"admin\"\n//\n// Example:\n//\n//\ttagID, err := repo.CreateTag(\"performance\", \"high-memory\", \"global\")\nfunc (r *JobRepository) CreateTag(tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\tq := sq.Insert(\"tag\").Columns(\"tag_type\", \"tag_name\", \"tag_scope\").Values(tagType, tagName, tagScope)\n\n\tres, err := q.RunWith(r.stmtCache).Exec()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error inserting tag with %s: %v\", s, err)\n\t\treturn 0, err\n\t}\n\n\treturn res.LastInsertId()\n}\n\n// CountTags returns all tags visible to the user and the count of jobs for each tag.\n// Applies scope-based filtering to respect tag visibility rules.\n//\n// Returns:\n// - tags: slice of tags the user can see\n// - counts: map of tag name to job count\n// - err: any error encountered\nfunc (r *JobRepository) CountTags(user *schema.User) (tags []schema.Tag, counts map[string]int, err error) {\n\ttags = make([]schema.Tag, 0, 100)\n\txrows, err := r.DB.Queryx(\"SELECT id, tag_type, tag_name, tag_scope FROM tag\")\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer xrows.Close()\n\n\tfor xrows.Next() {\n\t\tvar t schema.Tag\n\t\tif err = xrows.StructScan(&t); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", t.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, t)\n\t\t}\n\t}\n\n\tif err := xrows.Err(); err != nil {\n\t\treturn nil, nil, err\n\t}\n\n\t// Query and Count Jobs with attached Tags\n\tq := sq.Select(\"t.tag_type, t.tag_name, t.id, count(jt.tag_id)\").\n\t\tFrom(\"tag t\").\n\t\tLeftJoin(\"jobtag jt ON t.id = jt.tag_id\").\n\t\tGroupBy(\"t.tag_type, t.tag_name\")\n\n\t// Build scope list for filtering\n\tvar scopeBuilder strings.Builder\n\tscopeBuilder.WriteString(`\"global\"`)\n\tif user != nil {\n\t\tscopeBuilder.WriteString(`,\"`)\n\t\tscopeBuilder.WriteString(user.Username)\n\t\tscopeBuilder.WriteString(`\"`)\n\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t\tscopeBuilder.WriteString(`,\"admin\"`)\n\t\t}\n\t}\n\tq = q.Where(\"t.tag_scope IN (\" + scopeBuilder.String() + \")\")\n\n\t// Handle Job Ownership\n\tif user != nil && user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) { // ADMIN || SUPPORT: Count all jobs\n\t\t// cclog.Debug(\"CountTags: User Admin or Support -> Count all Jobs for Tags\")\n\t\t// Unchanged: Needs to be own case still, due to UserRole/NoRole compatibility handling in else case\n\t} else if user != nil && user.HasRole(schema.RoleManager) { // MANAGER: Count own jobs plus project's jobs\n\t\t// Build (\"project1\", \"project2\", ...) list of variable length directly in SQL string\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ? OR job.project IN (\\\"\"+strings.Join(user.Projects, \"\\\",\\\"\")+\"\\\"))\", user.Username)\n\t} else if user != nil { // USER OR NO ROLE (Compatibility): Only count own jobs\n\t\tq = q.Where(\"jt.job_id IN (SELECT id FROM job WHERE job.hpc_user = ?)\", user.Username)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\treturn nil, nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts = make(map[string]int)\n\tfor rows.Next() {\n\t\tvar tagType string\n\t\tvar tagName string\n\t\tvar tagID int\n\t\tvar count int\n\t\tif err = rows.Scan(&tagType, &tagName, &tagID, &count); err != nil {\n\t\t\treturn nil, nil, err\n\t\t}\n\t\t// Use tagId as second Map-Key component to differentiate tags with identical names\n\t\tcounts[fmt.Sprint(tagType, tagName, tagID)] = count\n\t}\n\terr = rows.Err()\n\n\treturn tags, counts, err\n}\n\nvar (\n\t// ErrTagNotFound is returned when a tag ID or tag identifier (type, name, scope) does not exist in the database.\n\tErrTagNotFound = errors.New(\"the tag does not exist\")\n\n\t// ErrJobNotOwned is returned when a user attempts to tag a job they do not have permission to access.\n\tErrJobNotOwned = errors.New(\"user is not owner of job\")\n\n\t// ErrTagNoAccess is returned when a user attempts to use a tag they cannot access due to scope restrictions.\n\tErrTagNoAccess = errors.New(\"user not permitted to use that tag\")\n\n\t// ErrTagPrivateScope is returned when a user attempts to access another user's private tag.\n\tErrTagPrivateScope = errors.New(\"tag is private to another user\")\n\n\t// ErrTagAdminScope is returned when a non-admin user attempts to use an admin-scoped tag.\n\tErrTagAdminScope = errors.New(\"tag requires admin privileges\")\n\n\t// ErrTagsIncompatScopes is returned when attempting to combine admin and non-admin scoped tags in a single operation.\n\tErrTagsIncompatScopes = errors.New(\"combining admin and non-admin scoped tags not allowed\")\n)\n\n// addJobTag is a helper function that inserts a job-tag association and updates the archive.\n//\n// This function performs three operations atomically:\n// 1. Inserts the job-tag association into the jobtag junction table\n// 2. Retrieves the updated tag list for the job (using the provided getTags callback)\n// 3. Updates the job archive with the new tags to maintain database-archive consistency\n//\n// Parameters:\n// - jobId: Database ID of the job\n// - tagId: Database ID of the tag to associate\n// - job: Full job object needed for archive update\n// - getTags: Callback function to retrieve updated tags (allows different security contexts)\n//\n// Returns the complete updated tag list for the job or an error.\n//\n// Note: This function does NOT validate tag scope permissions - callers must perform\n// authorization checks before invoking this helper.\nfunc (r *JobRepository) addJobTag(jobID int64, tagID int64, job *schema.Job, getTags func() ([]*schema.Tag, error)) ([]*schema.Tag, error) {\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\n\ttags, err := getTags()\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\tarchiveTags, err := r.getArchiveTags(&jobID)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error getting archive tags for job %d: %v\", jobID, err)\n\t\treturn nil, err\n\t}\n\n\treturn tags, archive.UpdateTags(job, archiveTags)\n}\n\n// AddTagOrCreate adds the tag with the specified type and name to the job with the database id `jobId`.\n// If such a tag does not yet exist, it is created.\nfunc (r *JobRepository) AddTagOrCreate(user *schema.User, jobID int64, tagType string, tagName string, tagScope string) (tagID int64, err error) {\n\t// Default to \"Global\" scope if none defined\n\tif tagScope == \"\" {\n\t\ttagScope = \"global\"\n\t}\n\n\twritable, err := r.checkScopeAuth(user, \"write\", tagScope)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\tif !writable {\n\t\treturn 0, fmt.Errorf(\"cannot write tag scope with current authorization\")\n\t}\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tif _, err := r.AddTag(user, jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) AddTagOrCreateDirect(jobID int64, tagType string, tagName string) (tagID int64, err error) {\n\ttagScope := \"global\"\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn 0, err\n\t\t}\n\t}\n\n\tcclog.Infof(\"Adding tag %s:%s:%s (direct)\", tagType, tagName, tagScope)\n\n\tif _, err := r.AddTagDirect(jobID, tagID); err != nil {\n\t\treturn 0, err\n\t}\n\n\treturn tagID, nil\n}\n\nfunc (r *JobRepository) HasTag(jobID int64, tagType string, tagName string) bool {\n\tvar id int64\n\tq := sq.Select(\"id\").From(\"tag\").Join(\"jobtag ON jobtag.tag_id = tag.id\").\n\t\tWhere(\"jobtag.job_id = ?\", jobID).Where(\"tag.tag_type = ?\", tagType).\n\t\tWhere(\"tag.tag_name = ?\", tagName)\n\terr := q.RunWith(r.stmtCache).QueryRow().Scan(&id)\n\tif err != nil {\n\t\treturn false\n\t} else {\n\t\treturn true\n\t}\n}\n\n// TagID returns the database id of the tag with the specified type and name.\nfunc (r *JobRepository) TagID(tagType string, tagName string, tagScope string) (tagID int64, exists bool) {\n\texists = true\n\tif err := sq.Select(\"id\").From(\"tag\").\n\t\tWhere(\"tag.tag_type = ?\", tagType).Where(\"tag.tag_name = ?\", tagName).Where(\"tag.tag_scope = ?\", tagScope).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagID); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// TagInfo returns the database infos of the tag with the specified id.\nfunc (r *JobRepository) TagInfo(tagID int64) (tagType string, tagName string, tagScope string, exists bool) {\n\texists = true\n\tif err := sq.Select(\"tag.tag_type\", \"tag.tag_name\", \"tag.tag_scope\").From(\"tag\").Where(\"tag.id = ?\", tagID).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&tagType, &tagName, &tagScope); err != nil {\n\t\texists = false\n\t}\n\treturn\n}\n\n// GetTags returns a list of all scoped tags if job is nil or of the tags that the job with that database ID has.\nfunc (r *JobRepository) GetTags(user *schema.User, job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\t// Handle Scope Filtering: Tag Scope is Global, Private (== Username) or User is auth'd to view Admin Tags\n\t\treadable, err := r.checkScopeAuth(user, \"read\", tag.Scope)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tif readable {\n\t\t\ttags = append(tags, tag)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) GetTagsDirect(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in GetTagsDirect: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\n// getArchiveTags returns all tags for a job WITHOUT applying scope-based filtering.\n//\n// This internal function is used exclusively for job archive synchronization where we need\n// to store all tags regardless of the current user's permissions. Unlike GetTags() which\n// filters by scope, this returns the complete unfiltered tag list.\n//\n// Parameters:\n// - job: Pointer to job database ID, or nil to return all tags in the system\n//\n// Returns all tags without scope filtering, used only for archive operations.\n//\n// WARNING: Do NOT expose this function to user-facing APIs as it bypasses authorization.\nfunc (r *JobRepository) getArchiveTags(job *int64) ([]*schema.Tag, error) {\n\tq := sq.Select(\"id\", \"tag_type\", \"tag_name\", \"tag_scope\").From(\"tag\")\n\tif job != nil {\n\t\tq = q.Join(\"jobtag ON jobtag.tag_id = tag.id\").Where(\"jobtag.job_id = ?\", *job)\n\t}\n\n\trows, err := q.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error get tags with %s: %v\", s, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\ttags := make([]*schema.Tag, 0)\n\tfor rows.Next() {\n\t\ttag := &schema.Tag{}\n\t\tif err := rows.Scan(&tag.ID, &tag.Type, &tag.Name, &tag.Scope); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning tag rows in getArchiveTags: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\ttags = append(tags, tag)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn tags, nil\n}\n\nfunc (r *JobRepository) ImportTag(jobID int64, tagType string, tagName string, tagScope string) (err error) {\n\t// Import has no scope ctx, only import from metafile to DB (No recursive archive update required), only returns err\n\n\ttagID, exists := r.TagID(tagType, tagName, tagScope)\n\tif !exists {\n\t\ttagID, err = r.CreateTag(tagType, tagName, tagScope)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tq := sq.Insert(\"jobtag\").Columns(\"job_id\", \"tag_id\").Values(jobID, tagID)\n\n\tif _, err := q.RunWith(r.stmtCache).Exec(); err != nil {\n\t\ts, _, _ := q.ToSql()\n\t\tcclog.Errorf(\"Error adding tag on import with %s: %v\", s, err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\n// checkScopeAuth validates whether a user is authorized to perform an operation on a tag with the given scope.\n//\n// This function implements the tag scope authorization matrix:\n//\n//\tScope | Read Access | Write Access\n//\t-------------|----------------------------------|----------------------------------\n//\t\"global\" | All users | Admin, Support, API-only\n//\t\"admin\" | Admin, Support | Admin, API-only\n//\t | Owner only | Owner only (private tags)\n//\n// Parameters:\n// - user: User attempting the operation (must not be nil)\n// - operation: Either \"read\" or \"write\"\n// - scope: Tag scope value (\"global\", \"admin\", or username for private tags)\n//\n// Returns:\n// - pass: true if authorized, false if denied\n// - err: error only if operation is invalid or user is nil\n//\n// Special cases:\n// - API-only users (single role: RoleApi) can write to admin and global scopes for automation\n// - Private tags use the username as scope, granting exclusive access to that user\nfunc (r *JobRepository) checkScopeAuth(user *schema.User, operation string, scope string) (pass bool, err error) {\n\tif user != nil {\n\t\tswitch {\n\t\tcase operation == \"write\" && scope == \"admin\":\n\t\t\tif user.HasRole(schema.RoleAdmin) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == \"global\":\n\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) || (len(user.Roles) == 1 && user.HasRole(schema.RoleAPI)) {\n\t\t\t\treturn true, nil\n\t\t\t}\n\t\t\treturn false, nil\n\t\tcase operation == \"write\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == \"admin\":\n\t\t\treturn user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}), nil\n\t\tcase operation == \"read\" && scope == \"global\":\n\t\t\treturn true, nil\n\t\tcase operation == \"read\" && scope == user.Username:\n\t\t\treturn true, nil\n\t\tdefault:\n\t\t\tif operation == \"read\" || operation == \"write\" {\n\t\t\t\t// No acceptable scope: deny tag\n\t\t\t\treturn false, nil\n\t\t\t} else {\n\t\t\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: unknown operation (%s)\", operation)\n\t\t\t}\n\t\t}\n\t} else {\n\t\treturn false, fmt.Errorf(\"error while checking tag operation auth: no user in context\")\n\t}\n}\n","numLines":697,"startLine":1,"totalLines":697}},"sourceToolAssistantUUID":"f7a0639e-a4dc-4206-a497-ea38bbed526d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"eab81478-d796-4621-b2c6-86dea55f106f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":14662},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","timestamp":"2026-03-16T10:20:16.110Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013Zk9UuLtFGBBW9XKL24U2N","toolUseID":"toolu_013Zk9UuLtFGBBW9XKL24U2N","timestamp":"2026-03-16T10:20:16.113Z","uuid":"9be51033-a1d2-4f6c-b228-c52a0c1e886e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013Zk9UuLtFGBBW9XKL24U2N","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n 7→//\n 8→// The archiver runs a background worker goroutine that processes job archiving requests\n 9→// from a buffered channel. When jobs complete, their metric data is archived from the\n 10→// metric store to the configured archive backend (filesystem, S3, etc.).\n 11→//\n 12→// # Architecture\n 13→//\n 14→// The archiver uses a producer-consumer pattern:\n 15→// - Producer: TriggerArchiving() sends jobs to archiveChannel\n 16→// - Consumer: archivingWorker() processes jobs from the channel\n 17→// - Coordination: sync.WaitGroup tracks pending archive operations\n 18→//\n 19→// # Lifecycle\n 20→//\n 21→// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n 22→// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n 23→// 3. archivingWorker() - Background goroutine processes jobs\n 24→// 4. Shutdown(timeout) - Graceful shutdown with timeout\n 25→//\n 26→// # Graceful Shutdown\n 27→//\n 28→// The archiver supports graceful shutdown with configurable timeout:\n 29→// - Closes channel to reject new jobs\n 30→// - Waits for pending jobs to complete (up to timeout)\n 31→// - Cancels context if timeout exceeded\n 32→// - Ensures worker goroutine exits cleanly\n 33→//\n 34→// # Example Usage\n 35→//\n 36→//\t// Initialize archiver\n 37→//\tctx, cancel := context.WithCancel(context.Background())\n 38→//\tdefer cancel()\n 39→//\tarchiver.Start(jobRepository, ctx)\n 40→//\n 41→//\t// Trigger archiving when job completes\n 42→//\tarchiver.TriggerArchiving(job)\n 43→//\n 44→//\t// Graceful shutdown with 10 second timeout\n 45→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 46→//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n 47→//\t}\n 48→package archiver\n 49→\n 50→import (\n 51→\t\"context\"\n 52→\t\"fmt\"\n 53→\t\"sync\"\n 54→\t\"time\"\n 55→\n 56→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 57→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 58→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 59→\tsq \"github.com/Masterminds/squirrel\"\n 60→)\n 61→\n 62→var (\n 63→\tarchivePending sync.WaitGroup\n 64→\tarchiveChannel chan *schema.Job\n 65→\tjobRepo *repository.JobRepository\n 66→\tshutdownCtx context.Context\n 67→\tshutdownCancel context.CancelFunc\n 68→\tworkerDone chan struct{}\n 69→)\n 70→\n 71→// Start initializes the archiver and starts the background worker goroutine.\n 72→//\n 73→// The archiver processes job archiving requests asynchronously via a buffered channel.\n 74→// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n 75→//\n 76→// Parameters:\n 77→// - r: JobRepository instance for database operations\n 78→// - ctx: Context for cancellation (shutdown signal propagation)\n 79→//\n 80→// The worker goroutine will run until:\n 81→// - ctx is cancelled (via parent shutdown)\n 82→// - archiveChannel is closed (via Shutdown())\n 83→//\n 84→// Must be called before TriggerArchiving(). Safe to call only once.\n 85→func Start(r *repository.JobRepository, ctx context.Context) {\n 86→\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n 87→\tarchiveChannel = make(chan *schema.Job, 128)\n 88→\tworkerDone = make(chan struct{})\n 89→\tjobRepo = r\n 90→\n 91→\tgo archivingWorker()\n 92→}\n 93→\n 94→// archivingWorker is the background goroutine that processes job archiving requests.\n 95→//\n 96→// The worker loop:\n 97→// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n 98→// 2. Fetches job metadata from repository\n 99→// 3. Archives job data to configured backend (calls ArchiveJob)\n 100→// 4. Updates job footprint and energy metrics in database\n 101→// 5. Marks job as successfully archived\n 102→// 6. Calls job stop hooks\n 103→//\n 104→// The worker exits when:\n 105→// - shutdownCtx is cancelled (timeout during shutdown)\n 106→// - archiveChannel is closed (normal shutdown)\n 107→//\n 108→// Errors during archiving are logged and the job is marked as failed,\n 109→// but the worker continues processing other jobs.\n 110→func archivingWorker() {\n 111→\tdefer close(workerDone)\n 112→\n 113→\tfor {\n 114→\t\tselect {\n 115→\t\tcase <-shutdownCtx.Done():\n 116→\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n 117→\t\t\treturn\n 118→\n 119→\t\tcase job, ok := <-archiveChannel:\n 120→\t\t\tif !ok {\n 121→\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n 122→\t\t\t\treturn\n 123→\t\t\t}\n 124→\n 125→\t\t\tstart := time.Now()\n 126→\t\t\t// not using meta data, called to load JobMeta into Cache?\n 127→\t\t\t// will fail if job meta not in repository\n 128→\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n 129→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n 130→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 131→\t\t\t\tarchivePending.Done()\n 132→\t\t\t\tcontinue\n 133→\t\t\t}\n 134→\n 135→\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n 136→\t\t\t// Use shutdown context to allow cancellation\n 137→\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n 138→\t\t\tif err != nil {\n 139→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n 140→\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n 141→\t\t\t\tarchivePending.Done()\n 142→\t\t\t\tcontinue\n 143→\t\t\t}\n 144→\n 145→\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n 146→\n 147→\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n 148→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n 149→\t\t\t\tarchivePending.Done()\n 150→\t\t\t\tcontinue\n 151→\t\t\t}\n 152→\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n 153→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n 154→\t\t\t\tarchivePending.Done()\n 155→\t\t\t\tcontinue\n 156→\t\t\t}\n 157→\t\t\t// Update the jobs database entry one last time:\n 158→\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n 159→\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n 160→\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n 161→\t\t\t\tarchivePending.Done()\n 162→\t\t\t\tcontinue\n 163→\t\t\t}\n 164→\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n 165→\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n 166→\n 167→\t\t\trepository.CallJobStopHooks(job)\n 168→\t\t\tarchivePending.Done()\n 169→\t\t}\n 170→\t}\n 171→}\n 172→\n 173→// TriggerArchiving queues a job for asynchronous archiving.\n 174→//\n 175→// This function should be called when a job completes (stops) to archive its\n 176→// metric data from the metric store to the configured archive backend.\n 177→//\n 178→// The function:\n 179→// 1. Increments the pending job counter (WaitGroup)\n 180→// 2. Sends the job to the archiving channel (buffered, capacity 128)\n 181→// 3. Returns immediately (non-blocking unless channel is full)\n 182→//\n 183→// The actual archiving is performed asynchronously by the worker goroutine.\n 184→// Upon completion, the worker will decrement the pending counter.\n 185→//\n 186→// Panics if Start() has not been called first.\n 187→func TriggerArchiving(job *schema.Job) {\n 188→\tif archiveChannel == nil {\n 189→\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n 190→\t}\n 191→\n 192→\tarchivePending.Add(1)\n 193→\tarchiveChannel <- job\n 194→}\n 195→\n 196→// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n 197→//\n 198→// The shutdown process:\n 199→// 1. Closes archiveChannel - no new jobs will be accepted\n 200→// 2. Waits for pending jobs to complete (up to timeout duration)\n 201→// 3. If timeout is exceeded:\n 202→// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n 203→// - Returns error indicating timeout\n 204→// 4. Waits for worker goroutine to exit cleanly\n 205→//\n 206→// Parameters:\n 207→// - timeout: Maximum duration to wait for pending jobs to complete\n 208→// (recommended: 10-30 seconds for production)\n 209→//\n 210→// Returns:\n 211→// - nil if all jobs completed within timeout\n 212→// - error if timeout was exceeded (some jobs may not have been archived)\n 213→//\n 214→// Jobs that don't complete within the timeout will be marked as failed.\n 215→// The function always ensures the worker goroutine exits before returning.\n 216→//\n 217→// Example:\n 218→//\n 219→//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 220→//\t log.Printf(\"Some jobs did not complete: %v\", err)\n 221→//\t}\n 222→func Shutdown(timeout time.Duration) error {\n 223→\tcclog.Info(\"Initiating archiver shutdown...\")\n 224→\n 225→\t// Close channel to signal no more jobs will be accepted\n 226→\tclose(archiveChannel)\n 227→\n 228→\t// Create a channel to signal when all jobs are done\n 229→\tdone := make(chan struct{})\n 230→\tgo func() {\n 231→\t\tarchivePending.Wait()\n 232→\t\tclose(done)\n 233→\t}()\n 234→\n 235→\t// Wait for jobs to complete or timeout\n 236→\tselect {\n 237→\tcase <-done:\n 238→\t\tcclog.Info(\"All archive jobs completed successfully\")\n 239→\t\t// Wait for worker to exit\n 240→\t\t<-workerDone\n 241→\t\treturn nil\n 242→\tcase <-time.After(timeout):\n 243→\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n 244→\t\t// Cancel any ongoing operations\n 245→\t\tshutdownCancel()\n 246→\t\t// Wait for worker to exit\n 247→\t\t<-workerDone\n 248→\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n 249→\t}\n 250→}\n 251→"}]},"uuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","timestamp":"2026-03-16T10:20:16.113Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/archiver/archiveWorker.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package archiver provides asynchronous job archiving functionality for ClusterCockpit.\n//\n// The archiver runs a background worker goroutine that processes job archiving requests\n// from a buffered channel. When jobs complete, their metric data is archived from the\n// metric store to the configured archive backend (filesystem, S3, etc.).\n//\n// # Architecture\n//\n// The archiver uses a producer-consumer pattern:\n// - Producer: TriggerArchiving() sends jobs to archiveChannel\n// - Consumer: archivingWorker() processes jobs from the channel\n// - Coordination: sync.WaitGroup tracks pending archive operations\n//\n// # Lifecycle\n//\n// 1. Start(repo, ctx) - Initialize worker with context for cancellation\n// 2. TriggerArchiving(job) - Queue job for archiving (called when job stops)\n// 3. archivingWorker() - Background goroutine processes jobs\n// 4. Shutdown(timeout) - Graceful shutdown with timeout\n//\n// # Graceful Shutdown\n//\n// The archiver supports graceful shutdown with configurable timeout:\n// - Closes channel to reject new jobs\n// - Waits for pending jobs to complete (up to timeout)\n// - Cancels context if timeout exceeded\n// - Ensures worker goroutine exits cleanly\n//\n// # Example Usage\n//\n//\t// Initialize archiver\n//\tctx, cancel := context.WithCancel(context.Background())\n//\tdefer cancel()\n//\tarchiver.Start(jobRepository, ctx)\n//\n//\t// Trigger archiving when job completes\n//\tarchiver.TriggerArchiving(job)\n//\n//\t// Graceful shutdown with 10 second timeout\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t log.Printf(\"Archiver shutdown timeout: %v\", err)\n//\t}\npackage archiver\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nvar (\n\tarchivePending sync.WaitGroup\n\tarchiveChannel chan *schema.Job\n\tjobRepo *repository.JobRepository\n\tshutdownCtx context.Context\n\tshutdownCancel context.CancelFunc\n\tworkerDone chan struct{}\n)\n\n// Start initializes the archiver and starts the background worker goroutine.\n//\n// The archiver processes job archiving requests asynchronously via a buffered channel.\n// Jobs are sent to the channel using TriggerArchiving() and processed by the worker.\n//\n// Parameters:\n// - r: JobRepository instance for database operations\n// - ctx: Context for cancellation (shutdown signal propagation)\n//\n// The worker goroutine will run until:\n// - ctx is cancelled (via parent shutdown)\n// - archiveChannel is closed (via Shutdown())\n//\n// Must be called before TriggerArchiving(). Safe to call only once.\nfunc Start(r *repository.JobRepository, ctx context.Context) {\n\tshutdownCtx, shutdownCancel = context.WithCancel(ctx)\n\tarchiveChannel = make(chan *schema.Job, 128)\n\tworkerDone = make(chan struct{})\n\tjobRepo = r\n\n\tgo archivingWorker()\n}\n\n// archivingWorker is the background goroutine that processes job archiving requests.\n//\n// The worker loop:\n// 1. Blocks waiting for jobs on archiveChannel or shutdown signal\n// 2. Fetches job metadata from repository\n// 3. Archives job data to configured backend (calls ArchiveJob)\n// 4. Updates job footprint and energy metrics in database\n// 5. Marks job as successfully archived\n// 6. Calls job stop hooks\n//\n// The worker exits when:\n// - shutdownCtx is cancelled (timeout during shutdown)\n// - archiveChannel is closed (normal shutdown)\n//\n// Errors during archiving are logged and the job is marked as failed,\n// but the worker continues processing other jobs.\nfunc archivingWorker() {\n\tdefer close(workerDone)\n\n\tfor {\n\t\tselect {\n\t\tcase <-shutdownCtx.Done():\n\t\t\tcclog.Info(\"Archive worker received shutdown signal\")\n\t\t\treturn\n\n\t\tcase job, ok := <-archiveChannel:\n\t\t\tif !ok {\n\t\t\t\tcclog.Info(\"Archive channel closed, worker exiting\")\n\t\t\t\treturn\n\t\t\t}\n\n\t\t\tstart := time.Now()\n\t\t\t// not using meta data, called to load JobMeta into Cache?\n\t\t\t// will fail if job meta not in repository\n\t\t\tif _, err := jobRepo.FetchMetadata(job); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at check metadata step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\t// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend\n\t\t\t// Use shutdown context to allow cancellation\n\t\t\tjobMeta, err := ArchiveJob(job, shutdownCtx)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at archiving job step: %s\", *job.ID, err.Error())\n\t\t\t\tjobRepo.UpdateMonitoringStatus(*job.ID, schema.MonitoringStatusArchivingFailed)\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tstmt := sq.Update(\"job\").Where(\"job.id = ?\", job.ID)\n\n\t\t\tif stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Footprint step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tif stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at update Energy step: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Update the jobs database entry one last time:\n\t\t\tstmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)\n\t\t\tif err := jobRepo.Execute(stmt); err != nil {\n\t\t\t\tcclog.Errorf(\"archiving job (dbid: %d) failed at db execute: %s\", *job.ID, err.Error())\n\t\t\t\tarchivePending.Done()\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\tcclog.Debugf(\"archiving job %d took %s\", job.JobID, time.Since(start))\n\t\t\tcclog.Infof(\"archiving job (dbid: %d) successful\", *job.ID)\n\n\t\t\trepository.CallJobStopHooks(job)\n\t\t\tarchivePending.Done()\n\t\t}\n\t}\n}\n\n// TriggerArchiving queues a job for asynchronous archiving.\n//\n// This function should be called when a job completes (stops) to archive its\n// metric data from the metric store to the configured archive backend.\n//\n// The function:\n// 1. Increments the pending job counter (WaitGroup)\n// 2. Sends the job to the archiving channel (buffered, capacity 128)\n// 3. Returns immediately (non-blocking unless channel is full)\n//\n// The actual archiving is performed asynchronously by the worker goroutine.\n// Upon completion, the worker will decrement the pending counter.\n//\n// Panics if Start() has not been called first.\nfunc TriggerArchiving(job *schema.Job) {\n\tif archiveChannel == nil {\n\t\tcclog.Fatal(\"Cannot archive without archiving channel. Did you Start the archiver?\")\n\t}\n\n\tarchivePending.Add(1)\n\tarchiveChannel <- job\n}\n\n// Shutdown performs a graceful shutdown of the archiver with a configurable timeout.\n//\n// The shutdown process:\n// 1. Closes archiveChannel - no new jobs will be accepted\n// 2. Waits for pending jobs to complete (up to timeout duration)\n// 3. If timeout is exceeded:\n// - Cancels shutdownCtx to interrupt ongoing ArchiveJob operations\n// - Returns error indicating timeout\n// 4. Waits for worker goroutine to exit cleanly\n//\n// Parameters:\n// - timeout: Maximum duration to wait for pending jobs to complete\n// (recommended: 10-30 seconds for production)\n//\n// Returns:\n// - nil if all jobs completed within timeout\n// - error if timeout was exceeded (some jobs may not have been archived)\n//\n// Jobs that don't complete within the timeout will be marked as failed.\n// The function always ensures the worker goroutine exits before returning.\n//\n// Example:\n//\n//\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n//\t log.Printf(\"Some jobs did not complete: %v\", err)\n//\t}\nfunc Shutdown(timeout time.Duration) error {\n\tcclog.Info(\"Initiating archiver shutdown...\")\n\n\t// Close channel to signal no more jobs will be accepted\n\tclose(archiveChannel)\n\n\t// Create a channel to signal when all jobs are done\n\tdone := make(chan struct{})\n\tgo func() {\n\t\tarchivePending.Wait()\n\t\tclose(done)\n\t}()\n\n\t// Wait for jobs to complete or timeout\n\tselect {\n\tcase <-done:\n\t\tcclog.Info(\"All archive jobs completed successfully\")\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn nil\n\tcase <-time.After(timeout):\n\t\tcclog.Warn(\"Archiver shutdown timeout exceeded, cancelling remaining operations\")\n\t\t// Cancel any ongoing operations\n\t\tshutdownCancel()\n\t\t// Wait for worker to exit\n\t\t<-workerDone\n\t\treturn fmt.Errorf(\"archiver shutdown timeout after %v\", timeout)\n\t}\n}\n","numLines":251,"startLine":1,"totalLines":251}},"sourceToolAssistantUUID":"5078ed1a-9d75-4bee-8ee0-4732ddef3c03","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"f93048f8-6f17-4a87-a745-7c4a8fc6fed7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UciAyMdYFRwbswUMPwitfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013cwDLaYAaYE58p3bEr4xdp","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":14662,"cache_read_input_tokens":79778,"output_tokens":227,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":14662,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bCoSb5mSW7BQj8rUfE","type":"assistant","uuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","timestamp":"2026-03-16T10:20:16.431Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","toolUseID":"toolu_013cwDLaYAaYE58p3bEr4xdp","timestamp":"2026-03-16T10:20:16.434Z","uuid":"93d4ad0b-7ca8-47dd-af1a-cc3fd1fdd5ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"5c97780c-18a8-4a2a-bda6-c94e058252c8","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013cwDLaYAaYE58p3bEr4xdp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package importer\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"encoding/json\"\n 11→\t\"fmt\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 19→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 20→)\n 21→\n 22→// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n 23→//\n 24→// The flag format is: \":[,:,...]\"\n 25→//\n 26→// For each job pair, this function:\n 27→// 1. Reads and validates the metadata JSON file (schema.Job)\n 28→// 2. Reads and validates the job data JSON file (schema.JobData)\n 29→// 3. Enriches the job with calculated footprints and energy metrics\n 30→// 4. Validates the job using SanityChecks()\n 31→// 5. Imports the job into the archive\n 32→// 6. Inserts the job into the database with associated tags\n 33→//\n 34→// Schema validation is performed if config.Keys.Validate is true.\n 35→//\n 36→// Returns an error if file reading, validation, enrichment, or database operations fail.\n 37→// The function stops processing on the first error encountered.\n 38→func HandleImportFlag(flag string) error {\n 39→\tr := repository.GetJobRepository()\n 40→\n 41→\tfor pair := range strings.SplitSeq(flag, \",\") {\n 42→\t\tfiles := strings.Split(pair, \":\")\n 43→\t\tif len(files) != 2 {\n 44→\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n 45→\t\t}\n 46→\n 47→\t\traw, err := os.ReadFile(files[0])\n 48→\t\tif err != nil {\n 49→\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n 50→\t\t\treturn err\n 51→\t\t}\n 52→\n 53→\t\tif config.Keys.Validate {\n 54→\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n 55→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n 56→\t\t\t}\n 57→\t\t}\n 58→\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n 59→\t\tdec.DisallowUnknownFields()\n 60→\t\tjob := schema.Job{\n 61→\t\t\tShared: \"none\",\n 62→\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 63→\t\t}\n 64→\t\tif err = dec.Decode(&job); err != nil {\n 65→\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n 66→\t\t\treturn err\n 67→\t\t}\n 68→\n 69→\t\traw, err = os.ReadFile(files[1])\n 70→\t\tif err != nil {\n 71→\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n 72→\t\t\treturn err\n 73→\t\t}\n 74→\n 75→\t\tif config.Keys.Validate {\n 76→\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n 77→\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n 78→\t\t\t}\n 79→\t\t}\n 80→\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n 81→\t\tdec.DisallowUnknownFields()\n 82→\t\tjobData := schema.JobData{}\n 83→\t\tif err = dec.Decode(&jobData); err != nil {\n 84→\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n 85→\t\t\treturn err\n 86→\t\t}\n 87→\n 88→\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n 89→\n 90→\t\tif err = enrichJobMetadata(&job); err != nil {\n 91→\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n 92→\t\t\treturn err\n 93→\t\t}\n 94→\n 95→\t\tif err = SanityChecks(&job); err != nil {\n 96→\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n 97→\t\t\treturn err\n 98→\t\t}\n 99→\n 100→\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n 101→\t\t\tcclog.Error(\"Error while importing job\")\n 102→\t\t\treturn err\n 103→\t\t}\n 104→\n 105→\t\tid, err := r.InsertJobDirect(&job)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Warn(\"Error while job db insert\")\n 108→\t\t\treturn err\n 109→\t\t}\n 110→\n 111→\t\tfor _, tag := range job.Tags {\n 112→\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n 113→\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n 114→\t\t\t\treturn err\n 115→\t\t\t}\n 116→\t\t}\n 117→\n 118→\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n 119→\t}\n 120→\treturn nil\n 121→}\n 122→"}]},"uuid":"1c544148-1fc4-481e-a535-848ba4734d66","timestamp":"2026-03-16T10:20:16.434Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/importer/handleImport.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage importer\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"strings\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HandleImportFlag imports jobs from file pairs specified in a comma-separated flag string.\n//\n// The flag format is: \":[,:,...]\"\n//\n// For each job pair, this function:\n// 1. Reads and validates the metadata JSON file (schema.Job)\n// 2. Reads and validates the job data JSON file (schema.JobData)\n// 3. Enriches the job with calculated footprints and energy metrics\n// 4. Validates the job using SanityChecks()\n// 5. Imports the job into the archive\n// 6. Inserts the job into the database with associated tags\n//\n// Schema validation is performed if config.Keys.Validate is true.\n//\n// Returns an error if file reading, validation, enrichment, or database operations fail.\n// The function stops processing on the first error encountered.\nfunc HandleImportFlag(flag string) error {\n\tr := repository.GetJobRepository()\n\n\tfor pair := range strings.SplitSeq(flag, \",\") {\n\t\tfiles := strings.Split(pair, \":\")\n\t\tif len(files) != 2 {\n\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > invalid import flag format\")\n\t\t}\n\n\t\traw, err := os.ReadFile(files[0])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading metadata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Meta, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job meta: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec := json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjob := schema.Job{\n\t\t\tShared: \"none\",\n\t\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t\t}\n\t\tif err = dec.Decode(&job); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json metadata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\traw, err = os.ReadFile(files[1])\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while reading jobdata file for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tif config.Keys.Validate {\n\t\t\tif err = schema.Validate(schema.Data, bytes.NewReader(raw)); err != nil {\n\t\t\t\treturn fmt.Errorf(\"REPOSITORY/INIT > validate job data: %v\", err)\n\t\t\t}\n\t\t}\n\t\tdec = json.NewDecoder(bytes.NewReader(raw))\n\t\tdec.DisallowUnknownFields()\n\t\tjobData := schema.JobData{}\n\t\tif err = dec.Decode(&jobData); err != nil {\n\t\t\tcclog.Warn(\"Error while decoding raw json jobdata for import\")\n\t\t\treturn err\n\t\t}\n\n\t\tjob.MonitoringStatus = schema.MonitoringStatusArchivingSuccessful\n\n\t\tif err = enrichJobMetadata(&job); err != nil {\n\t\t\tcclog.Errorf(\"Error enriching job metadata: %v\", err)\n\t\t\treturn err\n\t\t}\n\n\t\tif err = SanityChecks(&job); err != nil {\n\t\t\tcclog.Warn(\"BaseJob SanityChecks failed\")\n\t\t\treturn err\n\t\t}\n\n\t\tif err = archive.GetHandle().ImportJob(&job, &jobData); err != nil {\n\t\t\tcclog.Error(\"Error while importing job\")\n\t\t\treturn err\n\t\t}\n\n\t\tid, err := r.InsertJobDirect(&job)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while job db insert\")\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, tag := range job.Tags {\n\t\t\tif err := r.ImportTag(id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\t\tcclog.Error(\"Error while adding or creating tag on import\")\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tcclog.Infof(\"successfully imported a new job (jobId: %d, cluster: %s, dbid: %d)\", job.JobID, job.Cluster, id)\n\t}\n\treturn nil\n}\n","numLines":122,"startLine":1,"totalLines":122}},"sourceToolAssistantUUID":"5c97780c-18a8-4a2a-bda6-c94e058252c8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1c544148-1fc4-481e-a535-848ba4734d66","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Nw6y6QjBsXjuqqsyoVg4S","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EqcCCkYICxgCKkCw+EEWiddCTtOO2WCvsSsDFNrVMoel7ivVkem2Csi2WLhe4hpcXLEOmrRkbMoeEyYz9biMUOn3w8WU6cmuD5+SEgyMQMnhEhqhigTiQHYaDIh6EFBSztj7wV4IZCIw54lvlMmEDlzLdRpXwuf2fIoaNgOxXjxUHnheiDVTQ5LiAThRyfLG7jsudPYHkn0MKo4BZ7YixiJ0/TepsAbKbieJhPoaeTOuwI0la+jE023ec+mO/tsaCUZqwBJ+uq8/ApsCGCtH77bXqZKrAlCs/JXp3/+lPF1UT7b4kjmN9iUfEo2tLLR3hkLwWdZLnBSA23r0vcpOXsYWlQfhiCicYIeKydUKeVa3JIA00Rp1jye5CKBoM2sskSNaNQPRNNt6kBgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":15555,"cache_read_input_tokens":94440,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":15555},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDJgyrXk7gUe58BQ49","type":"assistant","uuid":"99683d63-97f7-4c8c-b24c-27c2d3e6f3a3","timestamp":"2026-03-16T10:20:20.790Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"99683d63-97f7-4c8c-b24c-27c2d3e6f3a3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Nw6y6QjBsXjuqqsyoVg4S","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check a few more write-heavy paths."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":15555,"cache_read_input_tokens":94440,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":15555},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDJgyrXk7gUe58BQ49","type":"assistant","uuid":"f3efc875-d381-4584-891d-85ea8c13bf45","timestamp":"2026-03-16T10:20:20.887Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","toolUseID":"toolu_01NyQGq5HoKhuReqThQpgkSQ","timestamp":"2026-03-16T10:20:21.987Z","uuid":"fa2fe1da-d91b-4727-b9b4-768b0e78c339","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NyQGq5HoKhuReqThQpgkSQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"math\"\n 11→\t\"time\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 14→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→\t\"github.com/go-co-op/gocron/v2\"\n 19→)\n 20→\n 21→func RegisterFootprintWorker() {\n 22→\tvar frequency string\n 23→\tif Keys.FootprintWorker != \"\" {\n 24→\t\tfrequency = Keys.FootprintWorker\n 25→\t} else {\n 26→\t\tfrequency = \"10m\"\n 27→\t}\n 28→\n 29→\td, err := parseDuration(frequency)\n 30→\tif err != nil {\n 31→\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n 32→\t\treturn\n 33→\t}\n 34→\n 35→\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n 36→\n 37→\ts.NewJob(gocron.DurationJob(d),\n 38→\t\tgocron.NewTask(\n 39→\t\t\tfunc() {\n 40→\t\t\t\ts := time.Now()\n 41→\t\t\t\tc := 0\n 42→\t\t\t\tce := 0\n 43→\t\t\t\tcl := 0\n 44→\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n 45→\n 46→\t\t\t\tfor _, cluster := range archive.Clusters {\n 47→\t\t\t\t\tsCluster := time.Now()\n 48→\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n 49→\t\t\t\t\tif err != nil {\n 50→\t\t\t\t\t\tcontinue\n 51→\t\t\t\t\t}\n 52→\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n 53→\t\t\t\t\t// - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n 54→\t\t\t\t\t// - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n 55→\t\t\t\t\tallMetrics := make([]string, 0)\n 56→\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n 57→\t\t\t\t\tfor _, mc := range metricConfigs {\n 58→\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n 59→\t\t\t\t\t}\n 60→\n 61→\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n 62→\n 63→\t\t\t\t\tfor _, job := range jobs {\n 64→\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n 65→\t\t\t\t\t\tcl++\n 66→\n 67→\t\t\t\t\t\tsJob := time.Now()\n 68→\n 69→\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n 70→\t\t\t\t\t\tif err != nil {\n 71→\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n 72→\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n 73→\t\t\t\t\t\t\tcontinue\n 74→\t\t\t\t\t\t}\n 75→\n 76→\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n 77→\t\t\t\t\t\tif err != nil {\n 78→\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n 79→\t\t\t\t\t\t\tce++\n 80→\t\t\t\t\t\t\tcontinue\n 81→\t\t\t\t\t\t}\n 82→\n 83→\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n 84→\n 85→\t\t\t\t\t\tfor _, metric := range allMetrics {\n 86→\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n 87→\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n 88→\t\t\t\t\t\t\tif ok {\n 89→\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n 90→\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n 91→\t\t\t\t\t\t\t\t\tif ok {\n 92→\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n 93→\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n 94→\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n 95→\t\t\t\t\t\t\t\t\t}\n 96→\n 97→\t\t\t\t\t\t\t\t}\n 98→\t\t\t\t\t\t\t}\n 99→\n 100→\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n 101→\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n 102→\t\t\t\t\t\t\t\tUnit: schema.Unit{\n 103→\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n 104→\t\t\t\t\t\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n 105→\t\t\t\t\t\t\t\t},\n 106→\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n 107→\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n 108→\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n 109→\t\t\t\t\t\t\t}\n 110→\t\t\t\t\t\t}\n 111→\n 112→\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n 113→\t\t\t\t\t\tstmt := sq.Update(\"job\")\n 114→\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n 115→\t\t\t\t\t\tif err != nil {\n 116→\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n 117→\t\t\t\t\t\t\tce++\n 118→\t\t\t\t\t\t\tcontinue\n 119→\t\t\t\t\t\t}\n 120→\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n 121→\n 122→\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n 123→\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n 124→\t\t\t\t\t}\n 125→\n 126→\t\t\t\t\tt, err := jobRepo.TransactionInit()\n 127→\t\t\t\t\tif err != nil {\n 128→\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n 129→\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n 130→\t\t\t\t\t\tce += len(pendingStatements)\n 131→\t\t\t\t\t} else {\n 132→\t\t\t\t\t\tfor _, ps := range pendingStatements {\n 133→\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n 134→\t\t\t\t\t\t\tif err != nil {\n 135→\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n 136→\t\t\t\t\t\t\t\tce++\n 137→\t\t\t\t\t\t\t} else {\n 138→\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n 139→\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n 140→\t\t\t\t\t\t\t\tc++\n 141→\t\t\t\t\t\t\t}\n 142→\t\t\t\t\t\t}\n 143→\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n 144→\t\t\t\t\t}\n 145→\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n 146→\t\t\t\t}\n 147→\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n 148→\t\t\t}))\n 149→}\n 150→"}]},"uuid":"87a4201c-478c-481a-a777-cd0ab95957f3","timestamp":"2026-03-16T10:20:21.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateFootprintService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"context\"\n\t\"math\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterFootprintWorker() {\n\tvar frequency string\n\tif Keys.FootprintWorker != \"\" {\n\t\tfrequency = Keys.FootprintWorker\n\t} else {\n\t\tfrequency = \"10m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterFootprintWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Footprint Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\ts := time.Now()\n\t\t\t\tc := 0\n\t\t\t\tce := 0\n\t\t\t\tcl := 0\n\t\t\t\tcclog.Infof(\"Update Footprints started at %s\", s.Format(time.RFC3339))\n\n\t\t\t\tfor _, cluster := range archive.Clusters {\n\t\t\t\t\tsCluster := time.Now()\n\t\t\t\t\tjobs, err := jobRepo.FindRunningJobs(cluster.Name)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\t// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.\n\t\t\t\t\t// - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs\n\t\t\t\t\t// - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)\n\t\t\t\t\tallMetrics := make([]string, 0)\n\t\t\t\t\tmetricConfigs := archive.GetCluster(cluster.Name).MetricConfig\n\t\t\t\t\tfor _, mc := range metricConfigs {\n\t\t\t\t\t\tallMetrics = append(allMetrics, mc.Name)\n\t\t\t\t\t}\n\n\t\t\t\t\tpendingStatements := []sq.UpdateBuilder{}\n\n\t\t\t\t\tfor _, job := range jobs {\n\t\t\t\t\t\tcclog.Debugf(\"Prepare job %d\", job.JobID)\n\t\t\t\t\t\tcl++\n\n\t\t\t\t\t\tsJob := time.Now()\n\n\t\t\t\t\t\tms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"failed to access metricDataRepo for cluster %s-%s: %s\",\n\t\t\t\t\t\t\t\tjob.Cluster, job.SubCluster, err.Error())\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjobStats, err := ms.LoadStats(job, allMetrics, context.Background())\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error wile loading job data stats for footprint update: %v\", err)\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tjob.Statistics = make(map[string]schema.JobStatistics)\n\n\t\t\t\t\t\tfor _, metric := range allMetrics {\n\t\t\t\t\t\t\tavg, min, max := 0.0, 0.0, 0.0\n\t\t\t\t\t\t\tdata, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]\n\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\tfor _, res := range job.Resources {\n\t\t\t\t\t\t\t\t\thostStats, ok := data[res.Hostname]\n\t\t\t\t\t\t\t\t\tif ok {\n\t\t\t\t\t\t\t\t\t\tavg += hostStats.Avg\n\t\t\t\t\t\t\t\t\t\tmin = math.Min(min, hostStats.Min)\n\t\t\t\t\t\t\t\t\t\tmax = math.Max(max, hostStats.Max)\n\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t// Add values rounded to 2 digits: repo.LoadStats may return unrounded\n\t\t\t\t\t\t\tjob.Statistics[metric] = schema.JobStatistics{\n\t\t\t\t\t\t\t\tUnit: schema.Unit{\n\t\t\t\t\t\t\t\t\tPrefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,\n\t\t\t\t\t\t\t\t\tBase: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\tAvg: (math.Round((avg/float64(job.NumNodes))*100) / 100),\n\t\t\t\t\t\t\t\tMin: (math.Round(min*100) / 100),\n\t\t\t\t\t\t\t\tMax: (math.Round(max*100) / 100),\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\t// Build Statement per Job, Add to Pending Array\n\t\t\t\t\t\tstmt := sq.Update(\"job\")\n\t\t\t\t\t\tstmt, err = jobRepo.UpdateFootprint(stmt, job)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"update job (dbid: %d) statement build failed at footprint step: %s\", *job.ID, err.Error())\n\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t}\n\t\t\t\t\t\tstmt = stmt.Where(\"job.id = ?\", job.ID)\n\n\t\t\t\t\t\tpendingStatements = append(pendingStatements, stmt)\n\t\t\t\t\t\tcclog.Debugf(\"Job %d took %s\", job.JobID, time.Since(sJob))\n\t\t\t\t\t}\n\n\t\t\t\t\tt, err := jobRepo.TransactionInit()\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"failed TransactionInit %v\", err)\n\t\t\t\t\t\tcclog.Errorf(\"skipped %d transactions for cluster %s\", len(pendingStatements), cluster.Name)\n\t\t\t\t\t\tce += len(pendingStatements)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tfor _, ps := range pendingStatements {\n\t\t\t\t\t\t\tquery, args, err := ps.ToSql()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"failed in ToSQL conversion: %v\", err)\n\t\t\t\t\t\t\t\tce++\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\t// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID\n\t\t\t\t\t\t\t\tjobRepo.TransactionAdd(t, query, args...)\n\t\t\t\t\t\t\t\tc++\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\tjobRepo.TransactionEnd(t)\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Debugf(\"Finish Cluster %s, took %s\\n\", cluster.Name, time.Since(sCluster))\n\t\t\t\t}\n\t\t\t\tcclog.Infof(\"Updating %d (of %d; Skipped %d) Footprints is done and took %s\", c, cl, ce, time.Since(s))\n\t\t\t}))\n}\n","numLines":150,"startLine":1,"totalLines":150}},"sourceToolAssistantUUID":"bfc5483e-2e80-4a47-b8d6-fbd1216b1edf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0195DFsKrvHLqVJHLyvfkkWr","toolUseID":"toolu_0195DFsKrvHLqVJHLyvfkkWr","timestamp":"2026-03-16T10:20:22.343Z","uuid":"0b0da3f2-5edb-4887-ae18-f433efcd5a5d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b14cef18-8d16-4d22-9829-66379572f507","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0195DFsKrvHLqVJHLyvfkkWr","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package taskmanager\n 7→\n 8→import (\n 9→\t\"time\"\n 10→\n 11→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 12→\t\"github.com/go-co-op/gocron/v2\"\n 13→)\n 14→\n 15→func RegisterUpdateDurationWorker() {\n 16→\tvar frequency string\n 17→\tif Keys.DurationWorker != \"\" {\n 18→\t\tfrequency = Keys.DurationWorker\n 19→\t} else {\n 20→\t\tfrequency = \"5m\"\n 21→\t}\n 22→\n 23→\td, err := parseDuration(frequency)\n 24→\tif err != nil {\n 25→\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n 26→\t\treturn\n 27→\t}\n 28→\n 29→\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n 30→\n 31→\ts.NewJob(gocron.DurationJob(d),\n 32→\t\tgocron.NewTask(\n 33→\t\t\tfunc() {\n 34→\t\t\t\tstart := time.Now()\n 35→\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n 36→\t\t\t\tjobRepo.UpdateDuration()\n 37→\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n 38→\t\t\t}))\n 39→}\n 40→"}]},"uuid":"8a6ed30b-b6be-4712-a630-e98681852f68","timestamp":"2026-03-16T10:20:22.343Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/taskmanager/updateDurationService.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage taskmanager\n\nimport (\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/go-co-op/gocron/v2\"\n)\n\nfunc RegisterUpdateDurationWorker() {\n\tvar frequency string\n\tif Keys.DurationWorker != \"\" {\n\t\tfrequency = Keys.DurationWorker\n\t} else {\n\t\tfrequency = \"5m\"\n\t}\n\n\td, err := parseDuration(frequency)\n\tif err != nil {\n\t\tcclog.Errorf(\"RegisterUpdateDurationWorker: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Register Duration Update service with %s interval\", frequency)\n\n\ts.NewJob(gocron.DurationJob(d),\n\t\tgocron.NewTask(\n\t\t\tfunc() {\n\t\t\t\tstart := time.Now()\n\t\t\t\tcclog.Infof(\"Update duration started at %s\", start.Format(time.RFC3339))\n\t\t\t\tjobRepo.UpdateDuration()\n\t\t\t\tcclog.Infof(\"Update duration is done and took %s\", time.Since(start))\n\t\t\t}))\n}\n","numLines":40,"startLine":1,"totalLines":40}},"sourceToolAssistantUUID":"b14cef18-8d16-4d22-9829-66379572f507","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8a6ed30b-b6be-4712-a630-e98681852f68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013Nw6y6QjBsXjuqqsyoVg4S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":15555,"cache_read_input_tokens":94440,"output_tokens":259,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":15555,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bDJgyrXk7gUe58BQ49","type":"assistant","uuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","timestamp":"2026-03-16T10:20:22.634Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","toolUseID":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","timestamp":"2026-03-16T10:20:22.638Z","uuid":"bb0a4cd3-2ca7-4f2c-bb91-f33aecb6005f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BMUnpCkFtrCg7vC1z1GFcB","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"fmt\"\n 9→\n 10→\t\"github.com/jmoiron/sqlx\"\n 11→)\n 12→\n 13→// Transaction wraps a database transaction for job-related operations.\n 14→type Transaction struct {\n 15→\ttx *sqlx.Tx\n 16→}\n 17→\n 18→// TransactionInit begins a new transaction.\n 19→func (r *JobRepository) TransactionInit() (*Transaction, error) {\n 20→\ttx, err := r.DB.Beginx()\n 21→\tif err != nil {\n 22→\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n 23→\t}\n 24→\treturn &Transaction{tx: tx}, nil\n 25→}\n 26→\n 27→// Commit commits the transaction.\n 28→// After calling Commit, the transaction should not be used again.\n 29→func (t *Transaction) Commit() error {\n 30→\tif t.tx == nil {\n 31→\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n 32→\t}\n 33→\terr := t.tx.Commit()\n 34→\tt.tx = nil // Mark as completed\n 35→\tif err != nil {\n 36→\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n 37→\t}\n 38→\treturn nil\n 39→}\n 40→\n 41→// Rollback rolls back the transaction.\n 42→// It's safe to call Rollback on an already committed or rolled back transaction.\n 43→func (t *Transaction) Rollback() error {\n 44→\tif t.tx == nil {\n 45→\t\treturn nil // Already committed/rolled back\n 46→\t}\n 47→\terr := t.tx.Rollback()\n 48→\tt.tx = nil // Mark as completed\n 49→\tif err != nil {\n 50→\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// TransactionEnd commits the transaction.\n 56→// Deprecated: Use Commit() instead.\n 57→func (r *JobRepository) TransactionEnd(t *Transaction) error {\n 58→\treturn t.Commit()\n 59→}\n 60→\n 61→// TransactionAddNamed executes a named query within the transaction.\n 62→func (r *JobRepository) TransactionAddNamed(\n 63→\tt *Transaction,\n 64→\tquery string,\n 65→\targs ...any,\n 66→) (int64, error) {\n 67→\tif t.tx == nil {\n 68→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 69→\t}\n 70→\n 71→\tres, err := t.tx.NamedExec(query, args)\n 72→\tif err != nil {\n 73→\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n 74→\t}\n 75→\n 76→\tid, err := res.LastInsertId()\n 77→\tif err != nil {\n 78→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 79→\t}\n 80→\n 81→\treturn id, nil\n 82→}\n 83→\n 84→// TransactionAdd executes a query within the transaction.\n 85→func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n 86→\tif t.tx == nil {\n 87→\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n 88→\t}\n 89→\n 90→\tres, err := t.tx.Exec(query, args...)\n 91→\tif err != nil {\n 92→\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n 93→\t}\n 94→\n 95→\tid, err := res.LastInsertId()\n 96→\tif err != nil {\n 97→\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n 98→\t}\n 99→\n 100→\treturn id, nil\n 101→}\n 102→"}]},"uuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","timestamp":"2026-03-16T10:20:22.637Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/transaction.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"fmt\"\n\n\t\"github.com/jmoiron/sqlx\"\n)\n\n// Transaction wraps a database transaction for job-related operations.\ntype Transaction struct {\n\ttx *sqlx.Tx\n}\n\n// TransactionInit begins a new transaction.\nfunc (r *JobRepository) TransactionInit() (*Transaction, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn nil, fmt.Errorf(\"beginning transaction: %w\", err)\n\t}\n\treturn &Transaction{tx: tx}, nil\n}\n\n// Commit commits the transaction.\n// After calling Commit, the transaction should not be used again.\nfunc (t *Transaction) Commit() error {\n\tif t.tx == nil {\n\t\treturn fmt.Errorf(\"transaction already committed or rolled back\")\n\t}\n\terr := t.tx.Commit()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"committing transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// Rollback rolls back the transaction.\n// It's safe to call Rollback on an already committed or rolled back transaction.\nfunc (t *Transaction) Rollback() error {\n\tif t.tx == nil {\n\t\treturn nil // Already committed/rolled back\n\t}\n\terr := t.tx.Rollback()\n\tt.tx = nil // Mark as completed\n\tif err != nil {\n\t\treturn fmt.Errorf(\"rolling back transaction: %w\", err)\n\t}\n\treturn nil\n}\n\n// TransactionEnd commits the transaction.\n// Deprecated: Use Commit() instead.\nfunc (r *JobRepository) TransactionEnd(t *Transaction) error {\n\treturn t.Commit()\n}\n\n// TransactionAddNamed executes a named query within the transaction.\nfunc (r *JobRepository) TransactionAddNamed(\n\tt *Transaction,\n\tquery string,\n\targs ...any,\n) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.NamedExec(query, args)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"named exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n\n// TransactionAdd executes a query within the transaction.\nfunc (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...any) (int64, error) {\n\tif t.tx == nil {\n\t\treturn 0, fmt.Errorf(\"transaction is nil or already completed\")\n\t}\n\n\tres, err := t.tx.Exec(query, args...)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"exec: %w\", err)\n\t}\n\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting last insert id: %w\", err)\n\t}\n\n\treturn id, nil\n}\n","numLines":102,"startLine":1,"totalLines":102}},"sourceToolAssistantUUID":"3ce3bea2-f3ac-4821-8d5b-2c856d9a0481","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b7fd8b96-d53a-4e3d-92e3-cbb01b84bd67","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UqYgtgtd92i7rNNB5sW24f","type":"message","role":"assistant","content":[{"type":"text","text":"Let me also check UpdateDuration to understand its DB pattern."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4300,"cache_read_input_tokens":109995,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4300},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDkiuFZyqHzW3As7K2","type":"assistant","uuid":"ffe419b3-5f46-41e7-8202-46ab405edff8","timestamp":"2026-03-16T10:20:27.228Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ffe419b3-5f46-41e7-8202-46ab405edff8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UqYgtgtd92i7rNNB5sW24f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KVbjcaCsS9yWbGRFmuWN14","name":"Grep","input":{"pattern":"func.*UpdateDuration","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository","output_mode":"content","-A":15},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4300,"cache_read_input_tokens":109995,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4300},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bDkiuFZyqHzW3As7K2","type":"assistant","uuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","timestamp":"2026-03-16T10:20:28.730Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","toolUseID":"toolu_01KVbjcaCsS9yWbGRFmuWN14","timestamp":"2026-03-16T10:20:28.748Z","uuid":"7ff5012e-a437-4db5-b10f-08c9cbb8719d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a0388b2d-5128-4103-a3e9-1b403aebd634","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KVbjcaCsS9yWbGRFmuWN14","type":"tool_result","content":"internal/repository/job.go:814:func (r *JobRepository) UpdateDuration() error {\ninternal/repository/job.go-815-\tstmnt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-816-\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-817-\t\tWhere(\"job_state = 'running'\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-818-\ninternal/repository/job.go-819-\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-820-\tif err != nil {\ninternal/repository/job.go-821-\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\ninternal/repository/job.go-822-\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-823-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-824-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-825-\treturn nil\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-826-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-827-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-828-// FindJobsBetween returns jobs within a specified time range.\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-829-// If startTimeBegin is 0, returns all jobs before startTimeEnd."}]},"uuid":"1dd83845-e273-42ed-ad36-09bf802c3d14","timestamp":"2026-03-16T10:20:28.748Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/repository/job.go:814:func (r *JobRepository) UpdateDuration() error {\ninternal/repository/job.go-815-\tstmnt := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-816-\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-817-\t\tWhere(\"job_state = 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{\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-400-\tvar cnt int\ninternal/repository/job.go-401-\tq := sq.Select(\"count(*)\").From(\"job\").Where(\"job.start_time < ?\", startTime)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-402-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-403-\tswitch omitTagged {\ninternal/repository/job.go-404-\tcase \"all\":\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-405-\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\ninternal/repository/job.go-406-\tcase \"user\":\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-407-\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 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job.id)\")\ninternal/repository/job.go-406-\tcase \"user\":\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-407-\t\tq = q.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-408-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-409-\ninternal/repository/job.go-410-\tif err := q.RunWith(r.DB).QueryRow().Scan(&cnt); err != nil {\ninternal/repository/job.go-411-\t\tcclog.Errorf(\"Error counting jobs before %d: %v\", startTime, err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-412-\t\treturn 0, err\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-413-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-414-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-415-\t// Invalidate cache for jobs being 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time.Now()\ninternal/repository/job.go-714-\tcurrentTime := time.Now().Unix()\ninternal/repository/job.go-715-\tres, err := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-716-\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-717-\t\tSet(\"duration\", 0).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-718-\t\tSet(\"job_state\", schema.JobStateFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-719-\t\tWhere(\"job.job_state = 'running'\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-720-\t\tWhere(\"job.walltime > 0\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-721-\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-722-\t\tRunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-723-\tif err != nil {\ninternal/repository/job.go-724-\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\ninternal/repository/job.go-725-\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-726-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-727-\ninternal/repository/job.go-728-\trowsAffected, err := res.RowsAffected()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-729-\tif err != nil {\ninternal/repository/job.go-730-\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\ninternal/repository/job.go-731-\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-732-\t}"}]},"uuid":"ee94e5e1-e9f6-4720-8837-d2ea2a43a75d","timestamp":"2026-03-16T10:20:30.729Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"internal/repository/job.go:712:func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\ninternal/repository/job.go-713-\tstart := time.Now()\ninternal/repository/job.go-714-\tcurrentTime := time.Now().Unix()\ninternal/repository/job.go-715-\tres, err := sq.Update(\"job\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-716-\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-717-\t\tSet(\"duration\", 0).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-718-\t\tSet(\"job_state\", schema.JobStateFailed).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-719-\t\tWhere(\"job.job_state = 'running'\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-720-\t\tWhere(\"job.walltime > 0\").\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-721-\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-722-\t\tRunWith(r.DB).Exec()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-723-\tif err != nil {\ninternal/repository/job.go-724-\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\ninternal/repository/job.go-725-\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-726-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-727-\ninternal/repository/job.go-728-\trowsAffected, err := res.RowsAffected()\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-729-\tif err != nil {\ninternal/repository/job.go-730-\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\ninternal/repository/job.go-731-\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go-732-\t}","numLines":21},"sourceToolAssistantUUID":"3ecfcf7f-5d30-4608-b500-8066e9ca3e5d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ee94e5e1-e9f6-4720-8837-d2ea2a43a75d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"text","text":"Good — `UpdateDuration`, `StopJobsExceedingWalltimeBy`, and `DeleteJobsBefore` are all single bulk SQL statements (no loops), so they're already efficient. The footprint worker already uses transactions properly.\n\nNow I have a complete picture. Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2503},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","timestamp":"2026-03-16T10:20:36.071Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"b4439843-d8a6-40b1-9d71-93da5b44f966","snapshot":{"messageId":"77246124-c7ed-405a-87de-11b99d5c5171","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v2","version":2,"backupTime":"2026-03-16T10:18:22.751Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v2","version":2,"backupTime":"2026-03-16T10:18:22.752Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v2","version":2,"backupTime":"2026-03-16T10:18:22.753Z"},"internal/api/node.go":{"backupFileName":"b975dfea9894c28c@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"},"internal/repository/jobCreate.go":{"backupFileName":"9595742f9f0c7f86@v2","version":2,"backupTime":"2026-03-16T10:18:22.754Z"},"/Users/jan/.claude/plans/woolly-wandering-narwhal.md":{"backupFileName":"9e2b5d81b7db3e5b@v1","version":1,"backupTime":"2026-03-16T10:21:13.166Z"}},"timestamp":"2026-03-16T10:18:22.751Z"},"isSnapshotUpdate":true} +{"parentUuid":"f0597a67-7b23-4535-ad3d-c7f6504b2cfe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NmDyVGR14m56zJq4osBX8r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n tx, err := r.DB.Beginx()\n // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n // newID from LastInsertId\n // DELETE FROM job_cache WHERE id = ?\n // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID)\n // ...\n tx, err := r.DB.Beginx()\n defer tx.Rollback()\n // DELETE FROM jobtag WHERE tag_id = ? (on tx)\n // DELETE FROM tag WHERE id = ? (on tx)\n tx.Commit()\n go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2503,"cache_read_input_tokens":114295,"output_tokens":1912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2503,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bEMMkG4V511Dsu7bkm","type":"assistant","uuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","timestamp":"2026-03-16T10:21:13.155Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","toolUseID":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","timestamp":"2026-03-16T10:21:13.171Z","uuid":"14d74e3e-b2fa-47d1-9a29-0057fe15dcf1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b4439843-d8a6-40b1-9d71-93da5b44f966","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhVPX1dgq6sxbbDWj6iFRa","type":"tool_result","content":"The file /Users/jan/.claude/plans/woolly-wandering-narwhal.md has been updated successfully."}]},"uuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","timestamp":"2026-03-16T10:21:13.171Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md","content":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n tx, err := r.DB.Beginx()\n // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n // newID from LastInsertId\n // DELETE FROM job_cache WHERE id = ?\n // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID)\n // ...\n tx, err := r.DB.Beginx()\n defer tx.Rollback()\n // DELETE FROM jobtag WHERE tag_id = ? (on tx)\n // DELETE FROM tag WHERE id = ? (on tx)\n tx.Commit()\n go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","structuredPatch":[{"oldStart":1,"oldLines":126,"newStart":1,"newLines":144,"lines":["-# Fix: SQLite Write Contention Causing OOM Crash","+# Additional SQLite Write Contention Reductions"," "," ## Context"," ","-The server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.","+Fixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching."," ","-**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.","+After reviewing all write paths in the codebase, most periodic tasks are already well-optimized:","+- `UpdateDuration` — single bulk UPDATE, efficient","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient","+- `DeleteJobsBefore` — single bulk DELETE, efficient","+- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster","+- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient"," ","-The cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.","+The remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**."," "," ---"," ","-## Fix 1: Increase busy_timeout (contention relief)","+## Fix 6: Wrap TransferCachedJobToMain in a Transaction"," ","-**File:** `internal/repository/dbConnection.go:73`","+**File:** `internal/repository/jobCreate.go:130-149`"," ","-Change `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:","+Currently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs)."," ","-**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.","+**Change:** Wrap both operations in a transaction:","+```go","+func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","+ tx, err := r.DB.Beginx()","+ // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?","+ // newID from LastInsertId","+ // DELETE FROM job_cache WHERE id = ?","+ // tx.Commit()","+}","+```"," ","-**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.","+**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path."," ","-**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.","-","-With 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.","-"," ---"," ","-## Fix 2: Batch Node State Updates in a Transaction","+## Fix 7: Batch Tag Operations on Job Start (NATS + REST)"," ","-Currently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.","+**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag","+**File:** `internal/api/job.go` — same pattern in `startJob` REST handler"," ","-**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:","-- Accept a slice of `(hostname, cluster, nodeState)` tuples","+Currently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.","+","+**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:","+- Accept jobID + slice of tags"," - Begin transaction","-- For each node: lookup ID (or insert node), then insert state — all within the same transaction","-- Commit once","+- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction","+- Commit","+- Single archive.UpdateTags call at the end (outside transaction)"," ","-**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.","+Then update callers:","+- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`","+- `internal/api/job.go` (startJob REST handler) — same change"," ","-**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).","+**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint)."," ","-Keep the existing `UpdateNodeState` method for single-node use cases.","+**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags."," "," ---"," ","-## Fix 3: Fix LDAP Sync Race Condition","+## Fix 8: Batch Tag Imports"," ","-The LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.","+**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job"," ","-**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:","-```go","-func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","- rolesJson, _ := json.Marshal(user.Roles)","- projectsJson, _ := json.Marshal(user.Projects)","- cols := \"username, name, roles, projects, ldap\"","- _, err := r.DB.Exec(","- `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,","- user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","- return err","-}","-```","+Currently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations."," ","-**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.","+**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:","+- Accept jobID + slice of (type, name, scope)","+- Begin transaction","+- For each tag: resolve/create tag ID + INSERT jobtag","+- Commit"," ","-Note: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.","+Update `handleImport.go` to call `BatchImportTags` instead of the loop."," ","+**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.","+"," ---"," ","-## Fix 4: Add Semaphore for NATS Handlers","+## Fix 9: Wrap RemoveTagByID in a Transaction"," ","-Without rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.","+**File:** `internal/repository/tags.go:216-244`"," ","-**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:","+Currently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.","+","+**Change:**"," ```go","-type NatsAPI struct {","- JobRepository *repository.JobRepository","- RepositoryMutex sync.Mutex","- jobSem chan struct{}","- nodeSem chan struct{}","+func (r *JobRepository) RemoveTagByID(tagID int64) error {","+ jobIds, err := r.FindJobIdsByTag(tagID)","+ // ...","+ tx, err := r.DB.Beginx()","+ defer tx.Rollback()","+ // DELETE FROM jobtag WHERE tag_id = ? (on tx)","+ // DELETE FROM tag WHERE id = ? (on tx)","+ tx.Commit()","+ go r.removeTagFromArchiveJobs(jobIds)"," }"," ```"," ","-Initialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.","+**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data."," ","-Add acquire/release in `handleJobEvent` and `handleNodeState`:","-```go","-api.jobSem <- struct{}{}","-defer func() { <-api.jobSem }()","-```","-","-This caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.","-"," ---"," ","-## Fix 5: Wrap SyncJobs in a Transaction","+## Implementation Order"," ","-**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)","+1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug","+2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path","+3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists","+4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement"," ","-Currently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:","-- `tx, err := r.DB.Beginx()`","-- Run all three operations on `tx`","-- `tx.Commit()`","-- Do the read-only ID resolution outside the transaction","+---"," ","-This reduces lock acquisitions from 3 to 1 and ensures atomicity.","+## Files to Modify"," ","+| File | Changes |","+|------|---------|","+| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |","+| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |","+| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |","+| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |","+| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |","+"," ---"," ","-## Implementation Order","+## What NOT to Change"," ","-1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact","-2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change","-3. **Fix 2** (batch node states) — biggest contention reduction","-4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction","-5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation","+These are already efficient and don't need modification:","+- `UpdateDuration` — single bulk UPDATE","+- `StopJobsExceedingWalltimeBy` — single bulk UPDATE","+- `DeleteJobsBefore` — single bulk DELETE","+- Footprint worker — already transactional per cluster","+- Archiver — already chains SETs into single UPDATE via Squirrel builder","+- `UpdateUser` — admin-only, very low frequency, not worth the complexity","+- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing"," "," ---"," "," ## Verification"," ","-1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.","-2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.","-3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.","-4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.","-5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.","+1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`","+2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty","+3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)","+4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically"]}],"originalFile":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n"},"sourceToolAssistantUUID":"b4439843-d8a6-40b1-9d71-93da5b44f966","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0f9e07a1-3eb3-4713-b47e-0c653524b515","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Se2sxJDxUWkzBrzacYUBvZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PwkLtGhXnyg1WnkWWC1wxX","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2045,"cache_read_input_tokens":116798,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2045,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bHUnKQ7MN3LHjyUKYD","type":"assistant","uuid":"c3cf8854-774f-4b57-9515-c10ab4a05fb6","timestamp":"2026-03-16T10:21:16.336Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c3cf8854-774f-4b57-9515-c10ab4a05fb6","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01PwkLtGhXnyg1WnkWWC1wxX","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"22c5cb18-1b22-4e26-9802-f8dafce84206","timestamp":"2026-03-16T10:21:16.337Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"c3cf8854-774f-4b57-9515-c10ab4a05fb6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"22c5cb18-1b22-4e26-9802-f8dafce84206","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nAfter a thorough review of all DB write paths in the codebase, I found 4 additional opportunities. Most periodic tasks (UpdateDuration, footprint worker, archiver, bulk deletes) are already well-optimized. The remaining wins are:\n\n1. **Fix 6 — TransferCachedJobToMain** (atomicity bug): INSERT + DELETE are two separate calls without a transaction\n2. **Fix 7 — Batch tag operations on job start**: Each tag does ~5 DB round-trips; a job with 5 tags = 30 operations that could be 1 transaction\n3. **Fix 8 — Batch tag imports**: Same pattern during `--import`, loops ImportTag per tag\n4. **Fix 9 — RemoveTagByID transaction**: Two separate DELETEs (jobtag + tag) without a transaction\n\nFix 7 is the most impactful for runtime contention since it's on the NATS job start hot path."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":738,"cache_read_input_tokens":118843,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":738},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bHiNNrnrkcJwPQJx9K","type":"assistant","uuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","timestamp":"2026-03-16T10:21:23.322Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ff4272fb-2b35-4888-84ba-79edc4101eb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LJeMZ6CFgXsvqraCsnbwHD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MUQUrUB1J3djg7qn2AaGP3","name":"ExitPlanMode","input":{"allowedPrompts":[{"tool":"Bash","prompt":"run go build and go test"}],"plan":"# Additional SQLite Write Contention Reductions\n\n## Context\n\nFixes 1-5 (busy_timeout, batch node states, LDAP sync, NATS semaphores, SyncJobs transaction) are already implemented. This plan identifies **remaining** opportunities to reduce DB write pressure through transactions and batching.\n\nAfter reviewing all write paths in the codebase, most periodic tasks are already well-optimized:\n- `UpdateDuration` — single bulk UPDATE, efficient\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE, efficient\n- `DeleteJobsBefore` — single bulk DELETE, efficient\n- Footprint worker — already uses `TransactionInit/TransactionAdd/TransactionEnd` per cluster\n- Archiver — chains UpdateFootprint + UpdateEnergy + MarkArchived into single `sq.Update` statement, efficient\n\nThe remaining opportunities are in **tag operations**, **TransferCachedJobToMain**, and **job imports**.\n\n---\n\n## Fix 6: Wrap TransferCachedJobToMain in a Transaction\n\n**File:** `internal/repository/jobCreate.go:130-149`\n\nCurrently does INSERT + DELETE as two separate `r.DB.Exec()` calls. If the process crashes between them, the job_cache row is orphaned (duplicate on next SyncJobs).\n\n**Change:** Wrap both operations in a transaction:\n```go\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n tx, err := r.DB.Beginx()\n // INSERT INTO job ... SELECT ... FROM job_cache WHERE id = ?\n // newID from LastInsertId\n // DELETE FROM job_cache WHERE id = ?\n // tx.Commit()\n}\n```\n\n**Impact:** Atomicity + 1 lock acquisition instead of 2. Called per job stop from cache path.\n\n---\n\n## Fix 7: Batch Tag Operations on Job Start (NATS + REST)\n\n**File:** `internal/api/nats.go:228-233` — loops `AddTagOrCreate` per tag\n**File:** `internal/api/job.go` — same pattern in `startJob` REST handler\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → SELECT job → INSERT jobtag → SELECT tags → archive.UpdateTags. For a job with 5 tags = 30 individual DB operations.\n\n**Change:** Add `BatchAddTagsDirect` to `internal/repository/tags.go`:\n- Accept jobID + slice of tags\n- Begin transaction\n- For each tag: resolve/create tag ID, INSERT jobtag — all within same transaction\n- Commit\n- Single archive.UpdateTags call at the end (outside transaction)\n\nThen update callers:\n- `internal/api/nats.go:228-233` — replace loop with `BatchAddTagsDirect`\n- `internal/api/job.go` (startJob REST handler) — same change\n\n**Keep** existing `AddTagOrCreate` for single-tag use cases (GraphQL, REST tag endpoint).\n\n**Impact:** N tags = 1 transaction + 1 archive update instead of N * 5 separate operations. Most impactful when scheduler sends jobs with multiple tags.\n\n---\n\n## Fix 8: Batch Tag Imports\n\n**File:** `internal/importer/handleImport.go:111-116` — loops `ImportTag` per tag per job\n\nCurrently each tag does: SELECT tag → INSERT tag (if new) → INSERT jobtag. For 100 jobs with 3 tags each = 600+ individual operations.\n\n**Change:** Add `BatchImportTags` to `internal/repository/tags.go`:\n- Accept jobID + slice of (type, name, scope)\n- Begin transaction\n- For each tag: resolve/create tag ID + INSERT jobtag\n- Commit\n\nUpdate `handleImport.go` to call `BatchImportTags` instead of the loop.\n\n**Impact:** Reduces lock acquisitions from 2*N to 1 per job's tags during import. Import is a startup-only operation but can be long-running for large archives.\n\n---\n\n## Fix 9: Wrap RemoveTagByID in a Transaction\n\n**File:** `internal/repository/tags.go:216-244`\n\nCurrently does DELETE FROM jobtag + DELETE FROM tag as two separate operations. If the second fails, jobtag rows are gone but the orphaned tag row remains.\n\n**Change:**\n```go\nfunc (r *JobRepository) RemoveTagByID(tagID int64) error {\n jobIds, err := r.FindJobIdsByTag(tagID)\n // ...\n tx, err := r.DB.Beginx()\n defer tx.Rollback()\n // DELETE FROM jobtag WHERE tag_id = ? (on tx)\n // DELETE FROM tag WHERE id = ? (on tx)\n tx.Commit()\n go r.removeTagFromArchiveJobs(jobIds)\n}\n```\n\n**Impact:** Atomicity for tag deletion. Low frequency (admin operation) but prevents orphaned data.\n\n---\n\n## Implementation Order\n\n1. **Fix 6** (TransferCachedJobToMain) — trivial, fixes a real atomicity bug\n2. **Fix 7** (batch tags on job start) — biggest remaining contention reduction for NATS path\n3. **Fix 8** (batch tag imports) — only affects import, but easy once Fix 7 pattern exists\n4. **Fix 9** (RemoveTagByID transaction) — minor, correctness improvement\n\n---\n\n## Files to Modify\n\n| File | Changes |\n|------|---------|\n| `internal/repository/jobCreate.go` | Fix 6: wrap TransferCachedJobToMain in transaction |\n| `internal/repository/tags.go` | Fix 7: add `BatchAddTagsDirect`; Fix 8: add `BatchImportTags`; Fix 9: transaction in RemoveTagByID |\n| `internal/api/nats.go` | Fix 7: use BatchAddTagsDirect in handleStartJob |\n| `internal/api/job.go` | Fix 7: use BatchAddTagsDirect in startJob REST handler |\n| `internal/importer/handleImport.go` | Fix 8: use BatchImportTags |\n\n---\n\n## What NOT to Change\n\nThese are already efficient and don't need modification:\n- `UpdateDuration` — single bulk UPDATE\n- `StopJobsExceedingWalltimeBy` — single bulk UPDATE\n- `DeleteJobsBefore` — single bulk DELETE\n- Footprint worker — already transactional per cluster\n- Archiver — already chains SETs into single UPDATE via Squirrel builder\n- `UpdateUser` — admin-only, very low frequency, not worth the complexity\n- `AddUser` deprecated metrics loop — marked DEPRECATED, will be removed; not worth optimizing\n\n---\n\n## Verification\n\n1. `go test ./internal/repository/... ./internal/api/... ./internal/importer/...`\n2. After Fix 6: verify `TransferCachedJobToMain` atomicity — stop a job that's in cache, check job table has correct ID and cache is empty\n3. After Fix 7: start a job with multiple tags via NATS — verify all tags appear, check that only 1 transaction was used (enable debug logging)\n4. After Fix 9: delete a tag via GraphQL — verify both tag and jobtag rows removed atomically\n","planFilePath":"/Users/jan/.claude/plans/woolly-wandering-narwhal.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":738,"cache_read_input_tokens":118843,"output_tokens":300,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":738,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bHiNNrnrkcJwPQJx9K","type":"assistant","uuid":"848e3ef2-64b6-4bdd-896f-916bbfdcc791","timestamp":"2026-03-16T10:21:23.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"848e3ef2-64b6-4bdd-896f-916bbfdcc791","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). To tell you how to proceed, the user said:\nOnly implement fix 6","is_error":true,"tool_use_id":"toolu_01MUQUrUB1J3djg7qn2AaGP3"}]},"uuid":"b77bf96c-0ab9-4261-bd23-0a58dedad7d2","timestamp":"2026-03-16T10:24:23.877Z","toolUseResult":"Error: The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). To tell you how to proceed, the user said:\nOnly implement fix 6","sourceToolAssistantUUID":"848e3ef2-64b6-4bdd-896f-916bbfdcc791","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b77bf96c-0ab9-4261-bd23-0a58dedad7d2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0111UmUedRJLUfyk1fAr4hgb","type":"message","role":"assistant","content":[{"type":"text","text":"Implementing Fix 6 — wrapping `TransferCachedJobToMain` in a transaction."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":378,"cache_read_input_tokens":119581,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":378},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bXYEaFABPg4xaH3yq6","type":"assistant","uuid":"8f839fcf-1783-4663-ad38-7ef37fe2ab2a","timestamp":"2026-03-16T10:24:27.088Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8f839fcf-1783-4663-ad38-7ef37fe2ab2a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0111UmUedRJLUfyk1fAr4hgb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JFhGVcQF5Zchw4rkuPtFho","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","offset":128,"limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":378,"cache_read_input_tokens":119581,"output_tokens":136,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":378,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bXYEaFABPg4xaH3yq6","type":"assistant","uuid":"afe5848a-2103-431a-9f0e-6e5059471d06","timestamp":"2026-03-16T10:24:27.844Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"afe5848a-2103-431a-9f0e-6e5059471d06","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JFhGVcQF5Zchw4rkuPtFho","toolUseID":"toolu_01JFhGVcQF5Zchw4rkuPtFho","timestamp":"2026-03-16T10:24:27.869Z","uuid":"1d31da9d-c467-4899-99ff-1f1dee33d28f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"afe5848a-2103-431a-9f0e-6e5059471d06","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JFhGVcQF5Zchw4rkuPtFho","type":"tool_result","content":" 128→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 129→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 130→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 131→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 132→\t\t\t\tjob.JobID, job.Cluster, err)\n 133→\t\t\tcontinue\n 134→\t\t}\n 135→\t\tjob.ID = &newID\n 136→\t}\n 137→\n 138→\treturn jobs, nil\n 139→}\n 140→\n 141→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 142→// Caller must hold r.Mutex. Returns the new job table ID.\n 143→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 144→\tres, err := r.DB.Exec(\n 145→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 146→\t\tcacheID)\n 147→\tif err != nil {\n 148→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 149→\t}\n 150→\n 151→\tnewID, err := res.LastInsertId()\n 152→\tif err != nil {\n 153→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 154→\t}\n 155→\n 156→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 157→\tif err != nil {"}]},"uuid":"3fba4768-a996-491a-87ad-7f3eacae6a2e","timestamp":"2026-03-16T10:24:27.868Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {","numLines":30,"startLine":128,"totalLines":227}},"sourceToolAssistantUUID":"afe5848a-2103-431a-9f0e-6e5059471d06","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3fba4768-a996-491a-87ad-7f3eacae6a2e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Adty3BFTSLUZWqgFLSz1j5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XVi4537WgoypjGsN5sjj7b","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","old_string":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","new_string":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":975,"cache_read_input_tokens":119959,"output_tokens":1077,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":975,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bXqCXzBSgTA7pD8nDT","type":"assistant","uuid":"122536c7-4640-495c-9256-d583b5a41625","timestamp":"2026-03-16T10:24:43.016Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"122536c7-4640-495c-9256-d583b5a41625","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01XVi4537WgoypjGsN5sjj7b","toolUseID":"toolu_01XVi4537WgoypjGsN5sjj7b","timestamp":"2026-03-16T10:24:46.389Z","uuid":"13ce02fe-7a96-4780-9dc1-1f7c65f62202","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"122536c7-4640-495c-9256-d583b5a41625","isSidechain":false,"promptId":"7fad2f04-ec04-401f-a96d-63f139e69bef","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XVi4537WgoypjGsN5sjj7b","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go has been updated successfully."}]},"uuid":"dd4907eb-2949-455a-8a26-ff31af1ac682","timestamp":"2026-03-16T10:24:46.388Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","oldString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}","newString":"// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tres, err := tx.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn 0, fmt.Errorf(\"TransferCachedJobToMain: commit: %w\", err)\n\t}\n\n\treturn newID, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":141,"oldLines":7,"newStart":141,"newLines":13,"lines":[" // TransferCachedJobToMain moves a job from job_cache to the job table."," // Caller must hold r.Mutex. Returns the new job table ID."," func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {","- res, err := r.DB.Exec(","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ return 0, fmt.Errorf(\"TransferCachedJobToMain: begin transaction: %w\", err)","+ }","+ defer tx.Rollback()","+","+ res, err := tx.Exec("," \"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\","," cacheID)"," if err != nil {"]},{"oldStart":153,"oldLines":11,"newStart":159,"newLines":15,"lines":[" return 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)"," }"," ","- _, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)","+ _, err = tx.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)"," if err != nil {"," return 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)"," }"," ","+ if err := tx.Commit(); 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production!\n 5→\n 6→Please have a look at the [Release\n 7→Notes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\n 8→for breaking changes!\n 9→\n 10→# ClusterCockpit REST and GraphQL API backend\n 11→\n 12→[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n 13→\n 14→This is a Golang backend implementation for a REST and GraphQL API according to\n 15→the [ClusterCockpit\n 16→specifications](https://github.com/ClusterCockpit/cc-specifications). It also\n 17→includes a web interface for ClusterCockpit. This implementation replaces the\n 18→previous PHP Symfony based ClusterCockpit web interface. The reasons for\n 19→switching from PHP Symfony to a Golang based solution are explained\n 20→[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n 21→\n 22→## Overview\n 23→\n 24→This is a Golang web backend for the ClusterCockpit job-specific performance\n 25→monitoring framework. It provides a REST API and an optional NATS-based messaging\n 26→API for integrating ClusterCockpit with an HPC cluster batch system and external\n 27→analysis scripts. Data exchange between the web front-end and the back-end is\n 28→based on a GraphQL API. The web frontend is also served by the backend using\n 29→[Svelte](https://svelte.dev/) components. Layout and styling are based on\n 30→[Bootstrap 5](https://getbootstrap.com/) using\n 31→[Bootstrap Icons](https://icons.getbootstrap.com/).\n 32→\n 33→The backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\n 34→While there are metric data backends for the InfluxDB and Prometheus time series\n 35→databases, the only tested and supported setup is to use cc-metric-store as the\n 36→metric data backend. Documentation on how to integrate ClusterCockpit with other\n 37→time series databases will be added in the future.\n 38→\n 39→For real-time integration with HPC systems, the backend can subscribe to\n 40→[NATS](https://nats.io/) subjects to receive job start/stop events and node\n 41→state updates, providing an alternative to REST API polling.\n 42→\n 43→Completed batch jobs are stored in a file-based job archive according to\n 44→[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\n 45→The backend supports authentication via local accounts, an external LDAP\n 46→directory, and JWT tokens. Authorization for APIs is implemented with\n 47→[JWT](https://jwt.io/) tokens created with public/private key encryption.\n 48→\n 49→You find a detailed documentation on the [ClusterCockpit\n 50→Webpage](https://clustercockpit.org).\n 51→\n 52→## Build requirements\n 53→\n 54→ClusterCockpit requires a current version of the golang toolchain and node.js.\n 55→You can check `go.mod` to see what is the current minimal golang version needed.\n 56→Homebrew and Archlinux usually have current golang versions. For other Linux\n 57→distros this often means that you have to install the golang compiler yourself.\n 58→Fortunately, this is easy with golang. Since much of the functionality is based\n 59→on the Go standard library, it is crucial for security and performance to use a\n 60→current version of golang. In addition, an old golang toolchain may limit the supported\n 61→versions of third-party packages.\n 62→\n 63→## How to try ClusterCockpit with a demo setup\n 64→\n 65→We provide a shell script that downloads demo data and automatically starts the\n 66→cc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\n 67→start the demo. The demo downloads 32MB of data (223MB on disk).\n 68→\n 69→```sh\n 70→git clone https://github.com/ClusterCockpit/cc-backend.git\n 71→cd ./cc-backend\n 72→./startDemo.sh\n 73→```\n 74→\n 75→You can also try the demo using the latest release binary.\n 76→Create a folder and put the release binary `cc-backend` into this folder.\n 77→Execute the following steps:\n 78→\n 79→```shell\n 80→./cc-backend -init\n 81→vim config.json (Add a second cluster entry and name the clusters alex and fritz)\n 82→wget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\n 83→tar xf job-archive-demo.tar\n 84→./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n 85→./cc-backend -server -dev -loglevel info\n 86→```\n 87→\n 88→You can access the web interface at [http://localhost:8080](http://localhost:8080).\n 89→Credentials for login are `demo:demo`.\n 90→Please note that some views do not work without a metric backend (e.g., the\n 91→Analysis, Systems and Status views).\n 92→\n 93→## How to build and run\n 94→\n 95→There is a Makefile to automate the build of cc-backend. The Makefile supports\n 96→the following targets:\n 97→\n 98→- `make`: Initialize `var` directory and build svelte frontend and backend\n 99→ binary. Note that there is no proper prerequisite handling. Any change of\n 100→ frontend source files will result in a complete rebuild.\n 101→- `make clean`: Clean go build cache and remove binary.\n 102→- `make test`: Run the tests that are also run in the GitHub workflow setup.\n 103→\n 104→A common workflow for setting up cc-backend from scratch is:\n 105→\n 106→```sh\n 107→git clone https://github.com/ClusterCockpit/cc-backend.git\n 108→\n 109→# Build binary\n 110→cd ./cc-backend/\n 111→make\n 112→\n 113→# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n 114→# If authentication is disabled, it can be empty.\n 115→cp configs/env-template.txt .env\n 116→vim .env\n 117→\n 118→cp configs/config.json .\n 119→vim config.json\n 120→\n 121→#Optional: Link an existing job archive:\n 122→ln -s ./var/job-archive\n 123→\n 124→# This will first initialize the job.db database by traversing all\n 125→# `meta.json` files in the job-archive and add a new user.\n 126→./cc-backend -init-db -add-user :admin:\n 127→\n 128→# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n 129→# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n 130→./cc-backend -server -dev\n 131→\n 132→# Show other options:\n 133→./cc-backend -help\n 134→```\n 135→\n 136→## Database Configuration\n 137→\n 138→cc-backend uses SQLite as its database. For large installations, SQLite memory\n 139→usage can be tuned via the optional `db-config` section in config.json under\n 140→`main`:\n 141→\n 142→```json\n 143→{\n 144→ \"main\": {\n 145→ \"db\": \"./var/job.db\",\n 146→ \"db-config\": {\n 147→ \"cache-size-mb\": 2048,\n 148→ \"soft-heap-limit-mb\": 16384,\n 149→ \"max-open-connections\": 4,\n 150→ \"max-idle-connections\": 4,\n 151→ \"max-idle-time-minutes\": 10\n 152→ }\n 153→ }\n 154→}\n 155→```\n 156→\n 157→All fields are optional. If `db-config` is omitted entirely, built-in defaults\n 158→are used.\n 159→\n 160→### Options\n 161→\n 162→| Option | Default | Description |\n 163→| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n 164→| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n 165→| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n 166→| `max-open-connections` | 4 | Maximum number of open database connections. |\n 167→| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n 168→| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n 169→\n 170→### Sizing Guidelines\n 171→\n 172→SQLite's `cache_size` is a **per-connection** setting — each connection\n 173→maintains its own independent page cache. With multiple connections, the total\n 174→memory available for caching is the sum across all connections.\n 175→\n 176→In practice, different connections tend to cache **different pages** (e.g., one\n 177→handles a job listing query while another runs a statistics aggregation), so\n 178→their caches naturally spread across the database. The formula\n 179→`DB_size / max-open-connections` gives enough per-connection cache that the\n 180→combined caches can cover the entire database.\n 181→\n 182→However, this is a best-case estimate. Connections running similar queries will\n 183→cache the same pages redundantly. In the worst case (all connections caching\n 184→identical pages), only `cache-size-mb` worth of unique data is cached rather\n 185→than `cache-size-mb × max-open-connections`. For workloads with diverse\n 186→concurrent queries, cache overlap is typically low.\n 187→\n 188→**Rules of thumb:**\n 189→\n 190→- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n 191→ entire database to be cached in memory. For example, an 80GB database with 8\n 192→ connections needs at least 10240 MB (10GB) per connection. If your workload\n 193→ has many similar concurrent queries, consider setting it higher to account for\n 194→ cache overlap between connections.\n 195→\n 196→- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n 197→ avoid cache thrashing. This is the total SQLite memory budget for the process.\n 198→- On small installations the defaults work well. On servers with large databases\n 199→ (tens of GB) and plenty of RAM, increasing these values significantly improves\n 200→ query performance by reducing disk I/O.\n 201→\n 202→### Example: Large Server (512GB RAM, 80GB database)\n 203→\n 204→```json\n 205→{\n 206→ \"main\": {\n 207→ \"db-config\": {\n 208→ \"cache-size-mb\": 16384,\n 209→ \"soft-heap-limit-mb\": 131072,\n 210→ \"max-open-connections\": 8,\n 211→ \"max-idle-time-minutes\": 30\n 212→ }\n 213→ }\n 214→}\n 215→```\n 216→\n 217→This allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\n 218→with a 128GB soft heap limit, using about 25% of available RAM.\n 219→\n 220→The effective configuration is logged at startup for verification.\n 221→\n 222→## Project file structure\n 223→\n 224→- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n 225→ GitHub Actions workflows and dependabot configuration for CI/CD.\n 226→- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n 227→ contains the API schema files for the REST and GraphQL APIs. The REST API is\n 228→ documented in the OpenAPI 3.0 format in\n 229→ [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n 230→ [./api/schema.graphqls](./api/schema.graphqls).\n 231→- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n 232→ contains the main application entry point and CLI implementation.\n 233→- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n 234→ contains documentation about configuration and command line options and required\n 235→ environment variables. Sample configuration files are provided.\n 236→- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n 237→ contains an example of setting up systemd for production use.\n 238→- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n 239→ contains library source code that is not intended for use by others.\n 240→ - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n 241→ REST API handlers and NATS integration\n 242→ - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n 243→ Job archiving functionality\n 244→ - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n 245→ Authentication (local, LDAP, OIDC) and JWT token handling\n 246→ - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n 247→ Configuration management and validation\n 248→ - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n 249→ GraphQL schema and resolvers\n 250→ - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n 251→ Job data import and database initialization\n 252→ - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n 253→ Dispatches metric data loading to appropriate backends\n 254→ - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n 255→ Database repository layer for jobs and metadata\n 256→ - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n 257→ HTTP router configuration and middleware\n 258→ - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n 259→ Job classification and application detection\n 260→ - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n 261→ Background task management and scheduled jobs\n 262→ - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n 263→ Client for cc-metric-store queries\n 264→- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n 265→ contains Go packages that can be used by other projects.\n 266→ - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n 267→ Job archive backend implementations (filesystem, S3, SQLite)\n 268→ - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n 269→ In-memory metric data store with checkpointing and metric loading\n 270→- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n 271→ Additional command line helper tools.\n 272→ - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n 273→ Commands for getting infos about an existing job archive, importing jobs\n 274→ between archive backends, and converting archives between JSON and Parquet formats.\n 275→ - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n 276→ Tool for migrating job archives between formats.\n 277→ - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n 278→ Tool to convert external pubkey for use in `cc-backend`.\n 279→ - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n 280→ contains a small application to generate a compatible JWT keypair. You find\n 281→ documentation on how to use it\n 282→ [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n 283→- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n 284→ Server-side templates and frontend-related files:\n 285→ - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n 286→ Svelte components and static assets for the frontend UI\n 287→ - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n 288→ Server-side Go templates, including monitoring views\n 289→- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n 290→ Configures the behaviour and generation of\n 291→ [gqlgen](https://github.com/99designs/gqlgen).\n 292→- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n 293→ is a shell script that sets up demo data, and builds and starts `cc-backend`.\n 294→"}]},"uuid":"4cd9f95b-f808-4a37-a113-308032c74511","timestamp":"2026-03-16T10:27:19.687Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","content":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection. If your workload\n has many similar concurrent queries, consider setting it higher to account for\n cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","numLines":294,"startLine":1,"totalLines":294}},"sourceToolAssistantUUID":"6f0d52ca-e714-4e0a-bd73-e92dee2c37e1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4cd9f95b-f808-4a37-a113-308032c74511","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016sb2k9spoRvVE3sa11M3vm","type":"message","role":"assistant","content":[{"type":"text","text":"I can see the Database Configuration section at lines 136-221. 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successfully."}]},"uuid":"e7eaa191-27a9-47aa-99b9-253caf5cddd9","timestamp":"2026-03-16T10:27:28.283Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","oldString":"```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```","newString":"```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10,\n \"busy-timeout-ms\": 60000\n }\n }\n}\n```","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection. If your workload\n has many similar concurrent queries, consider setting it higher to account for\n cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":148,"oldLines":7,"newStart":148,"newLines":8,"lines":[" \"soft-heap-limit-mb\": 16384,"," \"max-open-connections\": 4,"," \"max-idle-connections\": 4,","- \"max-idle-time-minutes\": 10","+ \"max-idle-time-minutes\": 10,","+ \"busy-timeout-ms\": 60000"," }"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f5637273-bc1f-435e-988b-c23545b9baf5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e7eaa191-27a9-47aa-99b9-253caf5cddd9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HvMqoWpyXggQXaS9SVMTNf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015Bnft2KTKVHKz4w3v5Arcp","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/README.md","old_string":"| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |","new_string":"| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. 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When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |","originalFile":"# NOTE\n\nWhile we do our best to keep the master branch in a usable state, there is no guarantee the master branch works.\nPlease do not use it for production!\n\nPlease have a look at the [Release\nNotes](https://github.com/ClusterCockpit/cc-backend/blob/master/ReleaseNotes.md)\nfor breaking changes!\n\n# ClusterCockpit REST and GraphQL API backend\n\n[![Build](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml/badge.svg)](https://github.com/ClusterCockpit/cc-backend/actions/workflows/test.yml)\n\nThis is a Golang backend implementation for a REST and GraphQL API according to\nthe [ClusterCockpit\nspecifications](https://github.com/ClusterCockpit/cc-specifications). It also\nincludes a web interface for ClusterCockpit. This implementation replaces the\nprevious PHP Symfony based ClusterCockpit web interface. The reasons for\nswitching from PHP Symfony to a Golang based solution are explained\n[here](https://github.com/ClusterCockpit/ClusterCockpit/wiki/Why-we-switched-from-PHP-Symfony-to-a-Golang-based-solution).\n\n## Overview\n\nThis is a Golang web backend for the ClusterCockpit job-specific performance\nmonitoring framework. It provides a REST API and an optional NATS-based messaging\nAPI for integrating ClusterCockpit with an HPC cluster batch system and external\nanalysis scripts. Data exchange between the web front-end and the back-end is\nbased on a GraphQL API. The web frontend is also served by the backend using\n[Svelte](https://svelte.dev/) components. Layout and styling are based on\n[Bootstrap 5](https://getbootstrap.com/) using\n[Bootstrap Icons](https://icons.getbootstrap.com/).\n\nThe backend uses [SQLite 3](https://sqlite.org/) as the relational SQL database.\nWhile there are metric data backends for the InfluxDB and Prometheus time series\ndatabases, the only tested and supported setup is to use cc-metric-store as the\nmetric data backend. Documentation on how to integrate ClusterCockpit with other\ntime series databases will be added in the future.\n\nFor real-time integration with HPC systems, the backend can subscribe to\n[NATS](https://nats.io/) subjects to receive job start/stop events and node\nstate updates, providing an alternative to REST API polling.\n\nCompleted batch jobs are stored in a file-based job archive according to\n[this specification](https://github.com/ClusterCockpit/cc-specifications/tree/master/job-archive).\nThe backend supports authentication via local accounts, an external LDAP\ndirectory, and JWT tokens. Authorization for APIs is implemented with\n[JWT](https://jwt.io/) tokens created with public/private key encryption.\n\nYou find a detailed documentation on the [ClusterCockpit\nWebpage](https://clustercockpit.org).\n\n## Build requirements\n\nClusterCockpit requires a current version of the golang toolchain and node.js.\nYou can check `go.mod` to see what is the current minimal golang version needed.\nHomebrew and Archlinux usually have current golang versions. For other Linux\ndistros this often means that you have to install the golang compiler yourself.\nFortunately, this is easy with golang. Since much of the functionality is based\non the Go standard library, it is crucial for security and performance to use a\ncurrent version of golang. In addition, an old golang toolchain may limit the supported\nversions of third-party packages.\n\n## How to try ClusterCockpit with a demo setup\n\nWe provide a shell script that downloads demo data and automatically starts the\ncc-backend. You will need `wget`, `go`, `node`, `npm` in your path to\nstart the demo. The demo downloads 32MB of data (223MB on disk).\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\ncd ./cc-backend\n./startDemo.sh\n```\n\nYou can also try the demo using the latest release binary.\nCreate a folder and put the release binary `cc-backend` into this folder.\nExecute the following steps:\n\n```shell\n./cc-backend -init\nvim config.json (Add a second cluster entry and name the clusters alex and fritz)\nwget https://hpc-mover.rrze.uni-erlangen.de/HPC-Data/0x7b58aefb/eig7ahyo6fo2bais0ephuf2aitohv1ai/job-archive-demo.tar\ntar xf job-archive-demo.tar\n./cc-backend -init-db -add-user demo:admin:demo -loglevel info\n./cc-backend -server -dev -loglevel info\n```\n\nYou can access the web interface at [http://localhost:8080](http://localhost:8080).\nCredentials for login are `demo:demo`.\nPlease note that some views do not work without a metric backend (e.g., the\nAnalysis, Systems and Status views).\n\n## How to build and run\n\nThere is a Makefile to automate the build of cc-backend. The Makefile supports\nthe following targets:\n\n- `make`: Initialize `var` directory and build svelte frontend and backend\n binary. Note that there is no proper prerequisite handling. Any change of\n frontend source files will result in a complete rebuild.\n- `make clean`: Clean go build cache and remove binary.\n- `make test`: Run the tests that are also run in the GitHub workflow setup.\n\nA common workflow for setting up cc-backend from scratch is:\n\n```sh\ngit clone https://github.com/ClusterCockpit/cc-backend.git\n\n# Build binary\ncd ./cc-backend/\nmake\n\n# EDIT THE .env FILE BEFORE YOU DEPLOY (Change the secrets)!\n# If authentication is disabled, it can be empty.\ncp configs/env-template.txt .env\nvim .env\n\ncp configs/config.json .\nvim config.json\n\n#Optional: Link an existing job archive:\nln -s ./var/job-archive\n\n# This will first initialize the job.db database by traversing all\n# `meta.json` files in the job-archive and add a new user.\n./cc-backend -init-db -add-user :admin:\n\n# Start a HTTP server (HTTPS can be enabled in the configuration, the default port is 8080).\n# The --dev flag enables GraphQL Playground (http://localhost:8080/playground) and Swagger UI (http://localhost:8080/swagger).\n./cc-backend -server -dev\n\n# Show other options:\n./cc-backend -help\n```\n\n## Database Configuration\n\ncc-backend uses SQLite as its database. For large installations, SQLite memory\nusage can be tuned via the optional `db-config` section in config.json under\n`main`:\n\n```json\n{\n \"main\": {\n \"db\": \"./var/job.db\",\n \"db-config\": {\n \"cache-size-mb\": 2048,\n \"soft-heap-limit-mb\": 16384,\n \"max-open-connections\": 4,\n \"max-idle-connections\": 4,\n \"max-idle-time-minutes\": 10,\n \"busy-timeout-ms\": 60000\n }\n }\n}\n```\n\nAll fields are optional. If `db-config` is omitted entirely, built-in defaults\nare used.\n\n### Options\n\n| Option | Default | Description |\n| ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `cache-size-mb` | 2048 | SQLite page cache size per connection in MB. Maps to `PRAGMA cache_size`. Total cache memory is up to `cache-size-mb × max-open-connections`. |\n| `soft-heap-limit-mb` | 16384 | Process-wide SQLite soft heap limit in MB. SQLite will try to release cache pages to stay under this limit. Queries won't fail if exceeded, but cache eviction becomes more aggressive. |\n| `max-open-connections` | 4 | Maximum number of open database connections. |\n| `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |\n| `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |\n\n### Sizing Guidelines\n\nSQLite's `cache_size` is a **per-connection** setting — each connection\nmaintains its own independent page cache. With multiple connections, the total\nmemory available for caching is the sum across all connections.\n\nIn practice, different connections tend to cache **different pages** (e.g., one\nhandles a job listing query while another runs a statistics aggregation), so\ntheir caches naturally spread across the database. The formula\n`DB_size / max-open-connections` gives enough per-connection cache that the\ncombined caches can cover the entire database.\n\nHowever, this is a best-case estimate. Connections running similar queries will\ncache the same pages redundantly. In the worst case (all connections caching\nidentical pages), only `cache-size-mb` worth of unique data is cached rather\nthan `cache-size-mb × max-open-connections`. For workloads with diverse\nconcurrent queries, cache overlap is typically low.\n\n**Rules of thumb:**\n\n- **cache-size-mb**: Set to `DB_size_in_MB / max-open-connections` to allow the\n entire database to be cached in memory. For example, an 80GB database with 8\n connections needs at least 10240 MB (10GB) per connection. If your workload\n has many similar concurrent queries, consider setting it higher to account for\n cache overlap between connections.\n\n- **soft-heap-limit-mb**: Should be >= `cache-size-mb × max-open-connections` to\n avoid cache thrashing. This is the total SQLite memory budget for the process.\n- On small installations the defaults work well. On servers with large databases\n (tens of GB) and plenty of RAM, increasing these values significantly improves\n query performance by reducing disk I/O.\n\n### Example: Large Server (512GB RAM, 80GB database)\n\n```json\n{\n \"main\": {\n \"db-config\": {\n \"cache-size-mb\": 16384,\n \"soft-heap-limit-mb\": 131072,\n \"max-open-connections\": 8,\n \"max-idle-time-minutes\": 30\n }\n }\n}\n```\n\nThis allows the entire 80GB database to be cached (8 × 16GB = 128GB page cache)\nwith a 128GB soft heap limit, using about 25% of available RAM.\n\nThe effective configuration is logged at startup for verification.\n\n## Project file structure\n\n- [`.github/`](https://github.com/ClusterCockpit/cc-backend/tree/master/.github)\n GitHub Actions workflows and dependabot configuration for CI/CD.\n- [`api/`](https://github.com/ClusterCockpit/cc-backend/tree/master/api)\n contains the API schema files for the REST and GraphQL APIs. The REST API is\n documented in the OpenAPI 3.0 format in\n [./api/swagger.yaml](./api/swagger.yaml). The GraphQL schema is in\n [./api/schema.graphqls](./api/schema.graphqls).\n- [`cmd/cc-backend`](https://github.com/ClusterCockpit/cc-backend/tree/master/cmd/cc-backend)\n contains the main application entry point and CLI implementation.\n- [`configs/`](https://github.com/ClusterCockpit/cc-backend/tree/master/configs)\n contains documentation about configuration and command line options and required\n environment variables. Sample configuration files are provided.\n- [`init/`](https://github.com/ClusterCockpit/cc-backend/tree/master/init)\n contains an example of setting up systemd for production use.\n- [`internal/`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal)\n contains library source code that is not intended for use by others.\n - [`api`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/api)\n REST API handlers and NATS integration\n - [`archiver`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/archiver)\n Job archiving functionality\n - [`auth`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/auth)\n Authentication (local, LDAP, OIDC) and JWT token handling\n - [`config`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/config)\n Configuration management and validation\n - [`graph`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/graph)\n GraphQL schema and resolvers\n - [`importer`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/importer)\n Job data import and database initialization\n - [`metricdispatch`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricdispatch)\n Dispatches metric data loading to appropriate backends\n - [`repository`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/repository)\n Database repository layer for jobs and metadata\n - [`routerConfig`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/routerConfig)\n HTTP router configuration and middleware\n - [`tagger`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/tagger)\n Job classification and application detection\n - [`taskmanager`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/taskmanager)\n Background task management and scheduled jobs\n - [`metricstoreclient`](https://github.com/ClusterCockpit/cc-backend/tree/master/internal/metricstoreclient)\n Client for cc-metric-store queries\n- [`pkg/`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg)\n contains Go packages that can be used by other projects.\n - [`archive`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/archive)\n Job archive backend implementations (filesystem, S3, SQLite)\n - [`metricstore`](https://github.com/ClusterCockpit/cc-backend/tree/master/pkg/metricstore)\n In-memory metric data store with checkpointing and metric loading\n- [`tools/`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools)\n Additional command line helper tools.\n - [`archive-manager`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-manager)\n Commands for getting infos about an existing job archive, importing jobs\n between archive backends, and converting archives between JSON and Parquet formats.\n - [`archive-migration`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/archive-migration)\n Tool for migrating job archives between formats.\n - [`convert-pem-pubkey`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/convert-pem-pubkey)\n Tool to convert external pubkey for use in `cc-backend`.\n - [`gen-keypair`](https://github.com/ClusterCockpit/cc-backend/tree/master/tools/gen-keypair)\n contains a small application to generate a compatible JWT keypair. You find\n documentation on how to use it\n [here](https://github.com/ClusterCockpit/cc-backend/blob/master/docs/JWT-Handling.md).\n- [`web/`](https://github.com/ClusterCockpit/cc-backend/tree/master/web)\n Server-side templates and frontend-related files:\n - [`frontend`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/frontend)\n Svelte components and static assets for the frontend UI\n - [`templates`](https://github.com/ClusterCockpit/cc-backend/tree/master/web/templates)\n Server-side Go templates, including monitoring views\n- [`gqlgen.yml`](https://github.com/ClusterCockpit/cc-backend/blob/master/gqlgen.yml)\n Configures the behaviour and generation of\n [gqlgen](https://github.com/99designs/gqlgen).\n- [`startDemo.sh`](https://github.com/ClusterCockpit/cc-backend/blob/master/startDemo.sh)\n is a shell script that sets up demo data, and builds and starts `cc-backend`.\n","structuredPatch":[{"oldStart":167,"oldLines":6,"newStart":167,"newLines":7,"lines":[" | `max-open-connections` | 4 | Maximum number of open database connections. |"," | `max-idle-connections` | 4 | Maximum number of idle database connections kept in the pool. |"," | `max-idle-time-minutes` | 10 | Maximum time in minutes a connection can sit idle before being closed. |","+| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |"," "," ### Sizing Guidelines"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"4566cfaf-2375-48e9-915c-ff5d0fe30fd5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"aaba930c-69be-4bd6-824e-e07c39b989d7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011axmoHjJmzwPLKbuBHnsmy","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify this setting is actually wired up from the JSON config. Let me check how `db-config` is parsed."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":298,"cache_read_input_tokens":128057,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":298},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bmcWByt3oAVSvTNwuU","type":"assistant","uuid":"1c56736e-60ca-4436-96d1-0ae6eaae8f85","timestamp":"2026-03-16T10:27:39.137Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1c56736e-60ca-4436-96d1-0ae6eaae8f85","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011axmoHjJmzwPLKbuBHnsmy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01G75W1hqFgMxc8vhXm8kfsU","name":"Grep","input":{"pattern":"busy-timeout|BusyTimeout","path":"/Users/jan/prg/ClusterCockpit/cc-backend","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":298,"cache_read_input_tokens":128057,"output_tokens":140,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":298,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6bmcWByt3oAVSvTNwuU","type":"assistant","uuid":"73dd3e91-0f87-4969-82da-96ee156e2cf6","timestamp":"2026-03-16T10:27:39.759Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"73dd3e91-0f87-4969-82da-96ee156e2cf6","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01G75W1hqFgMxc8vhXm8kfsU","toolUseID":"toolu_01G75W1hqFgMxc8vhXm8kfsU","timestamp":"2026-03-16T10:27:39.806Z","uuid":"62384c69-1bda-44f0-b08a-ceb18724bfb5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"73dd3e91-0f87-4969-82da-96ee156e2cf6","isSidechain":false,"promptId":"41461524-0919-4a29-87a4-8399f696e77c","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G75W1hqFgMxc8vhXm8kfsU","type":"tool_result","content":"README.md:152: \"busy-timeout-ms\": 60000\nREADME.md:170:| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |\ninternal/repository/config.go:50:\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\ninternal/repository/config.go:54:\tBusyTimeoutMs int\ninternal/repository/config.go:69:\t\tBusyTimeoutMs: 60000, // 60 seconds\ninternal/repository/dbConnection.go:73:\t\tconnectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))"}]},"uuid":"8e5f38e3-7404-46c4-871a-bc94cd949314","timestamp":"2026-03-16T10:27:39.806Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"README.md:152: \"busy-timeout-ms\": 60000\nREADME.md:170:| `busy-timeout-ms` | 60000 | SQLite busy timeout in milliseconds. When a write is blocked by another writer, SQLite retries internally with backoff for up to this duration before returning `SQLITE_BUSY`. |\ninternal/repository/config.go:50:\t// BusyTimeoutMs is the SQLite busy_timeout in milliseconds.\ninternal/repository/config.go:54:\tBusyTimeoutMs int\ninternal/repository/config.go:69:\t\tBusyTimeoutMs: 60000, // 60 seconds\ninternal/repository/dbConnection.go:73:\t\tconnectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))","numLines":6},"sourceToolAssistantUUID":"73dd3e91-0f87-4969-82da-96ee156e2cf6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8e5f38e3-7404-46c4-871a-bc94cd949314","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GFc7XbDXcztzzqsGq35GpT","type":"message","role":"assistant","content":[{"type":"text","text":"Let me 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[\"policy\"]\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go-180- },\ninternal/config/schema.go:181: \"db-config\": {\ninternal/config/schema.go-182- \"description\": \"SQLite database tuning configuration.\",\ninternal/config/schema.go-183- \"type\": \"object\",\ninternal/config/schema.go-184- \"properties\": {\n--\ninternal/config/config.go-79-\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-80-\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-81-\t// Database tuning configuration\ninternal/config/config.go:82:\tDbConfig *DbConfig `json:\"db-config\"`\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-83-}\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go-84-\ninternal/config/config.go:85:type DbConfig struct {\ninternal/config/config.go-86-\tCacheSizeMB int `json:\"cache-size-mb\"`\ninternal/config/config.go-87-\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\ninternal/config/config.go-88-\tMaxOpenConnections int `json:\"max-open-connections\"`"}]},"uuid":"d9e0cc7f-ba51-4cc5-a50d-6043c6bf0f35","timestamp":"2026-03-16T10:27:48.724Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go-178- },\ninternal/config/schema.go-179- \"required\": [\"policy\"]\n/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/schema.go-180- },\ninternal/config/schema.go:181: \"db-config\": {\ninternal/config/schema.go-182- \"description\": \"SQLite database tuning configuration.\",\ninternal/config/schema.go-183- \"type\": \"object\",\ninternal/config/schema.go-184- \"properties\": {\n--\ninternal/config/config.go-79-\tNodeStateRetention *NodeStateRetention 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`json:\"max-open-connections\"`\n 89→\tMaxIdleConnections int `json:\"max-idle-connections\"`\n 90→\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n 91→}\n 92→\n 93→type NodeStateRetention struct {\n 94→\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n 95→\tAge int `json:\"age\"` // hours, default 24\n 96→\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n 97→\tTargetPath string `json:\"target-path\"`\n 98→\tTargetEndpoint string `json:\"target-endpoint\"`\n 99→\tTargetBucket string `json:\"target-bucket\"`\n 100→\tTargetAccessKey string `json:\"target-access-key\"`\n 101→\tTargetSecretKey string `json:\"target-secret-key\"`\n 102→\tTargetRegion string `json:\"target-region\"`\n 103→\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n 104→\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n 105→}\n 106→\n 107→type ResampleConfig struct {\n 108→\t// Minimum number of points to trigger resampling of data\n 109→\tMinimumPoints int `json:\"minimum-points\"`\n 110→\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n 111→\tResolutions []int `json:\"resolutions\"`\n 112→\t// Trigger next zoom level at less than this many visible datapoints\n 113→\tTrigger int `json:\"trigger\"`\n 114→}\n 115→\n 116→type NATSConfig struct {\n 117→\tSubjectJobEvent string `json:\"subject-job-event\"`\n 118→\tSubjectNodeState string `json:\"subject-node-state\"`\n 119→}\n 120→\n 121→type IntRange struct {\n 122→\tFrom int `json:\"from\"`\n 123→\tTo int `json:\"to\"`\n 124→}"}]},"uuid":"e2449be5-d639-40ea-897d-86e7fcef64d1","timestamp":"2026-03-16T10:27:51.995Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/config/config.go","content":"type DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}","numLines":40,"startLine":85,"totalLines":159}},"sourceToolAssistantUUID":"0df8f9d4-687a-477f-8ad7-0063855df642","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e2449be5-d639-40ea-897d-86e7fcef64d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q3Bv6CWN2AY8xkjfahAu3S","type":"message","role":"assistant","content":[{"type":"text","text":"I need to add `BusyTimeoutMs` to the `DbConfig` struct. Let me also check where DbConfig is mapped to RepositoryConfig."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":739,"cache_read_input_tokens":129597,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":739},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6bnstBerg4ks6ZmK2fX","type":"assistant","uuid":"6765ddc4-70ad-43cb-a577-bfeaa2067922","timestamp":"2026-03-16T10:27:55.898Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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configuration\n82:\tDbConfig *DbConfig `json:\"db-config\"`\n83-}\n84-\n85:type DbConfig struct {\n86-\tCacheSizeMB int `json:\"cache-size-mb\"`\n87-\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n88-\tMaxOpenConnections int `json:\"max-open-connections\"`\n89-\tMaxIdleConnections int `json:\"max-idle-connections\"`\n90-\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`"}]},"uuid":"065fd176-0a3c-40d9-bfec-cd983d1e4381","timestamp":"2026-03-16T10:27:56.666Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"77-\n78-\t// Node state retention configuration\n79-\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n80-\n81-\t// Database tuning configuration\n82:\tDbConfig *DbConfig `json:\"db-config\"`\n83-}\n84-\n85:type DbConfig struct {\n86-\tCacheSizeMB int `json:\"cache-size-mb\"`\n87-\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n88-\tMaxOpenConnections int `json:\"max-open-connections\"`\n89-\tMaxIdleConnections int 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nil\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-108-}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-109-\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-110-func initDatabase() error {\ncmd/cc-backend/main.go:111:\tif config.Keys.DbConfig != nil {\ncmd/cc-backend/main.go-112-\t\tcfg := repository.DefaultConfig()\ncmd/cc-backend/main.go:113:\t\tdc := config.Keys.DbConfig\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-114-\t\tif dc.CacheSizeMB > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-115-\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-116-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-117-\t\tif dc.SoftHeapLimitMB > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-118-\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n--\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-124-\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-125-\t\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-126-\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-127-\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-128-\t\t}\ncmd/cc-backend/main.go:129:\t\trepository.SetConfig(cfg)\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-130-\t}\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-131-\trepository.Connect(config.Keys.DB)\n/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/main.go-132-\treturn 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I need to add it to `DbConfig`, the mapping in `main.go`, and the JSON schema. Let me do all three."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1035,"cache_read_input_tokens":130705,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1035},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6boYarTHnHDkYoT2UuK","type":"assistant","uuid":"f045b316-3390-4a9f-a699-3449ccfffcf4","timestamp":"2026-03-16T10:28:04.830Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package config implements the program configuration data structures, validation and parsing\npackage config\n\nimport (\n\t\"bytes\"\n\t\"encoding/json\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n)\n\ntype ProgramConfig struct {\n\t// Address where the http (or https) server will listen on (for example: 'localhost:80').\n\tAddr string `json:\"addr\"`\n\n\t// Addresses from which secured admin API endpoints can be reached, can be wildcard \"*\"\n\tAPIAllowedIPs []string `json:\"api-allowed-ips\"`\n\n\tAPISubjects *NATSConfig `json:\"api-subjects\"`\n\n\t// Drop root permissions once .env was read and the port was taken.\n\tUser string `json:\"user\"`\n\tGroup string `json:\"group\"`\n\n\t// Disable authentication (for everything: API, Web-UI, ...)\n\tDisableAuthentication bool `json:\"disable-authentication\"`\n\n\t// If `embed-static-files` is true (default), the frontend files are directly\n\t// embeded into the go binary and expected to be in web/frontend. Only if\n\t// it is false the files in `static-files` are served instead.\n\tEmbedStaticFiles bool `json:\"embed-static-files\"`\n\tStaticFiles string `json:\"static-files\"`\n\n\t// Path to SQLite database file\n\tDB string `json:\"db\"`\n\n\tEnableJobTaggers bool `json:\"enable-job-taggers\"`\n\n\t// Validate json input against schema\n\tValidate bool `json:\"validate\"`\n\n\t// If 0 or empty, the session does not expire!\n\tSessionMaxAge string `json:\"session-max-age\"`\n\n\t// If both those options are not empty, use HTTPS using those certificates.\n\tHTTPSCertFile string `json:\"https-cert-file\"`\n\tHTTPSKeyFile string `json:\"https-key-file\"`\n\n\t// If not the empty string and `addr` does not end in \":80\",\n\t// redirect every request incoming at port 80 to that url.\n\tRedirectHTTPTo string `json:\"redirect-http-to\"`\n\n\t// Where to store MachineState files\n\tMachineStateDir string `json:\"machine-state-dir\"`\n\n\t// If not zero, automatically mark jobs as stopped running X seconds longer than their walltime.\n\tStopJobsExceedingWalltime int `json:\"stop-jobs-exceeding-walltime\"`\n\n\t// Defines time X in seconds in which jobs are considered to be \"short\" and will be filtered in specific views.\n\tShortRunningJobsDuration int `json:\"short-running-jobs-duration\"`\n\n\t// Energy Mix CO2 Emission Constant [g/kWh]\n\t// If entered, displays estimated CO2 emission for job based on jobs totalEnergy\n\tEmissionConstant int `json:\"emission-constant\"`\n\n\t// If exists, will enable dynamic zoom in frontend metric plots using the configured values\n\tEnableResampling *ResampleConfig `json:\"resampling\"`\n\n\t// Systemd unit name for log viewer (default: \"clustercockpit\")\n\tSystemdUnit string `json:\"systemd-unit\"`\n\n\t// Node state retention configuration\n\tNodeStateRetention *NodeStateRetention `json:\"nodestate-retention\"`\n\n\t// Database tuning configuration\n\tDbConfig *DbConfig `json:\"db-config\"`\n}\n\ntype DbConfig struct {\n\tCacheSizeMB int `json:\"cache-size-mb\"`\n\tSoftHeapLimitMB int `json:\"soft-heap-limit-mb\"`\n\tMaxOpenConnections int `json:\"max-open-connections\"`\n\tMaxIdleConnections int `json:\"max-idle-connections\"`\n\tConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`\n}\n\ntype NodeStateRetention struct {\n\tPolicy string `json:\"policy\"` // \"delete\" or \"move\"\n\tAge int `json:\"age\"` // hours, default 24\n\tTargetKind string `json:\"target-kind\"` // \"file\" or \"s3\"\n\tTargetPath string `json:\"target-path\"`\n\tTargetEndpoint string `json:\"target-endpoint\"`\n\tTargetBucket string `json:\"target-bucket\"`\n\tTargetAccessKey string `json:\"target-access-key\"`\n\tTargetSecretKey string `json:\"target-secret-key\"`\n\tTargetRegion string `json:\"target-region\"`\n\tTargetUsePathStyle bool `json:\"target-use-path-style\"`\n\tMaxFileSizeMB int `json:\"max-file-size-mb\"`\n}\n\ntype ResampleConfig struct {\n\t// Minimum number of points to trigger resampling of data\n\tMinimumPoints int `json:\"minimum-points\"`\n\t// Array of resampling target resolutions, in seconds; Example: [600,300,60]\n\tResolutions []int `json:\"resolutions\"`\n\t// Trigger next zoom level at less than this many visible datapoints\n\tTrigger int `json:\"trigger\"`\n}\n\ntype NATSConfig struct {\n\tSubjectJobEvent string `json:\"subject-job-event\"`\n\tSubjectNodeState string `json:\"subject-node-state\"`\n}\n\ntype IntRange struct {\n\tFrom int `json:\"from\"`\n\tTo int `json:\"to\"`\n}\n\ntype TimeRange struct {\n\tFrom *time.Time `json:\"from\"`\n\tTo *time.Time `json:\"to\"`\n\tRange string `json:\"range,omitempty\"`\n}\n\ntype FilterRanges struct {\n\tDuration *IntRange `json:\"duration\"`\n\tNumNodes *IntRange `json:\"num-nodes\"`\n\tStartTime *TimeRange `json:\"start-time\"`\n}\n\nvar Keys ProgramConfig = ProgramConfig{\n\tAddr: \"localhost:8080\",\n\tEmbedStaticFiles: true,\n\tDB: \"./var/job.db\",\n\tSessionMaxAge: \"168h\",\n\tStopJobsExceedingWalltime: 0,\n\tShortRunningJobsDuration: 5 * 60,\n}\n\nfunc Init(mainConfig json.RawMessage) {\n\tValidate(configSchema, mainConfig)\n\tdec := json.NewDecoder(bytes.NewReader(mainConfig))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&Keys); err != nil {\n\t\tcclog.Abortf(\"Config Init: Could not decode config file '%s'.\\nError: %s\\n\", mainConfig, err.Error())\n\t}\n\n\tif Keys.EnableResampling != nil && Keys.EnableResampling.MinimumPoints > 0 {\n\t\tresampler.SetMinimumRequiredPoints(Keys.EnableResampling.MinimumPoints)\n\t}\n}\n","structuredPatch":[{"oldStart":88,"oldLines":6,"newStart":88,"newLines":7,"lines":[" MaxOpenConnections int `json:\"max-open-connections\"`"," MaxIdleConnections int `json:\"max-idle-connections\"`"," ConnectionMaxIdleTimeMins int `json:\"max-idle-time-minutes\"`","+ BusyTimeoutMs int `json:\"busy-timeout-ms\"`"," }"," "," type NodeStateRetention struct 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// It orchestrates initialization of all subsystems including configuration,\n// database, authentication, and the HTTP server.\npackage main\n\nimport (\n\t\"context\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"os\"\n\t\"os/signal\"\n\t\"runtime/debug\"\n\t\"strings\"\n\t\"sync\"\n\t\"syscall\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/taskmanager\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tccconf \"github.com/ClusterCockpit/cc-lib/v2/ccConfig\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/google/gops/agent\"\n\t\"github.com/joho/godotenv\"\n\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\nconst logoString = `\n _____ _ _ ____ _ _ _\n/ ___| |_ _ ___| |_ ___ _ __ / ___|___ ___| | ___ __ (_) |_\n| | | | | | / __| __/ _ \\ '__| | / _ \\ / __| |/ / '_ \\| | __|\n| |___| | |_| \\__ \\ || __/ | | |__| (_) | (__| <| |_) | | |_\n\\_____|_|\\__,_|___/\\__\\___|_| \\____\\___/ \\___|_|\\_\\ .__/|_|\\__|\n |_|\n`\n\n// Environment variable names\nconst (\n\tenvGOGC = \"GOGC\"\n)\n\n// Default configurations\nconst (\n\tdefaultArchiveConfig = `{\"kind\":\"file\",\"path\":\"./var/job-archive\"}`\n)\n\nvar (\n\tdate string\n\tcommit string\n\tversion string\n)\n\nfunc printVersion() {\n\tfmt.Print(logoString)\n\tfmt.Printf(\"Version:\\t%s\\n\", version)\n\tfmt.Printf(\"Git hash:\\t%s\\n\", commit)\n\tfmt.Printf(\"Build time:\\t%s\\n\", date)\n\tfmt.Printf(\"SQL db version:\\t%d\\n\", repository.Version)\n\tfmt.Printf(\"Job archive version:\\t%d\\n\", archive.Version)\n}\n\nfunc initGops() error {\n\tif !flagGops {\n\t\treturn nil\n\t}\n\n\tif err := agent.Listen(agent.Options{}); err != nil {\n\t\treturn fmt.Errorf(\"starting gops agent: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc loadEnvironment() error {\n\tif err := godotenv.Load(); err != nil {\n\t\treturn fmt.Errorf(\"loading .env file: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc initConfiguration() error {\n\tccconf.Init(flagConfigFile)\n\n\tcfg := ccconf.GetPackageConfig(\"main\")\n\tif cfg == nil {\n\t\treturn fmt.Errorf(\"main configuration must be present\")\n\t}\n\n\tconfig.Init(cfg)\n\treturn nil\n}\n\nfunc initDatabase() error {\n\tif config.Keys.DbConfig != nil {\n\t\tcfg := repository.DefaultConfig()\n\t\tdc := config.Keys.DbConfig\n\t\tif dc.CacheSizeMB > 0 {\n\t\t\tcfg.DbCacheSizeMB = dc.CacheSizeMB\n\t\t}\n\t\tif dc.SoftHeapLimitMB > 0 {\n\t\t\tcfg.DbSoftHeapLimitMB = dc.SoftHeapLimitMB\n\t\t}\n\t\tif dc.MaxOpenConnections > 0 {\n\t\t\tcfg.MaxOpenConnections = dc.MaxOpenConnections\n\t\t}\n\t\tif dc.MaxIdleConnections > 0 {\n\t\t\tcfg.MaxIdleConnections = dc.MaxIdleConnections\n\t\t}\n\t\tif dc.ConnectionMaxIdleTimeMins > 0 {\n\t\t\tcfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute\n\t\t}\n\t\trepository.SetConfig(cfg)\n\t}\n\trepository.Connect(config.Keys.DB)\n\treturn nil\n}\n\nfunc handleDatabaseCommands() error {\n\tif flagMigrateDB {\n\t\terr := repository.MigrateDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"migrating database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"MigrateDB Success: Migrated SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\tif flagRevertDB {\n\t\terr := repository.RevertDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"reverting database to version %d: %w\", repository.Version-1, err)\n\t\t}\n\t\tcclog.Exitf(\"RevertDB Success: Reverted SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version-1)\n\t}\n\n\tif flagForceDB {\n\t\terr := repository.ForceDB(config.Keys.DB)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"forcing database to version %d: %w\", repository.Version, err)\n\t\t}\n\t\tcclog.Exitf(\"ForceDB Success: Forced SQLite database at '%s' to version %d.\\n\",\n\t\t\tconfig.Keys.DB, repository.Version)\n\t}\n\n\treturn nil\n}\n\nfunc handleUserCommands() error {\n\tif config.Keys.DisableAuthentication && (flagNewUser != \"\" || flagDelUser != \"\") {\n\t\treturn fmt.Errorf(\"--add-user and --del-user can only be used if authentication is enabled\")\n\t}\n\n\tif !config.Keys.DisableAuthentication {\n\t\tif cfg := ccconf.GetPackageConfig(\"auth\"); cfg != nil {\n\t\t\tauth.Init(&cfg)\n\t\t} else {\n\t\t\tcclog.Warn(\"Authentication disabled due to missing configuration\")\n\t\t\tauth.Init(nil)\n\t\t}\n\n\t\t// Check for default security keys\n\t\tcheckDefaultSecurityKeys()\n\n\t\tif flagNewUser != \"\" {\n\t\t\tif err := addUser(flagNewUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagDelUser != \"\" {\n\t\t\tif err := delUser(flagDelUser); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tauthHandle := auth.GetAuthInstance()\n\n\t\tif flagSyncLDAP {\n\t\t\tif err := syncLDAP(authHandle); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\n\t\tif flagGenJWT != \"\" {\n\t\t\tif err := generateJWT(authHandle, flagGenJWT); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// checkDefaultSecurityKeys warns if default JWT keys are detected\nfunc checkDefaultSecurityKeys() {\n\t// Default JWT public key from init.go\n\tdefaultJWTPublic := \"REDACTED\"\n\n\tif os.Getenv(\"JWT_PUBLIC_KEY\") == defaultJWTPublic {\n\t\tcclog.Warn(\"Using default JWT keys - not recommended for production environments\")\n\t}\n}\n\nfunc addUser(userSpec string) error {\n\tparts := strings.SplitN(userSpec, \":\", 3)\n\tif len(parts) != 3 || len(parts[0]) == 0 {\n\t\treturn fmt.Errorf(\"invalid user format, want: :[admin,support,manager,api,user]:, have: %s\", userSpec)\n\t}\n\n\tur := repository.GetUserRepository()\n\tif err := ur.AddUser(&schema.User{\n\t\tUsername: parts[0],\n\t\tProjects: make([]string, 0),\n\t\tPassword: parts[2],\n\t\tRoles: strings.Split(parts[1], \",\"),\n\t}); err != nil {\n\t\treturn fmt.Errorf(\"adding user '%s' with roles '%s': %w\", parts[0], parts[1], err)\n\t}\n\n\tcclog.Infof(\"Add User: Added new user '%s' with roles '%s'\", parts[0], parts[1])\n\treturn nil\n}\n\nfunc delUser(username string) error {\n\tur := repository.GetUserRepository()\n\tif err := ur.DelUser(username); err != nil {\n\t\treturn fmt.Errorf(\"deleting user '%s': %w\", username, err)\n\t}\n\tcclog.Infof(\"Delete User: Deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc syncLDAP(authHandle *auth.Authentication) error {\n\tif authHandle.LdapAuth == nil {\n\t\treturn fmt.Errorf(\"LDAP authentication is not configured\")\n\t}\n\n\tif err := authHandle.LdapAuth.Sync(); err != nil {\n\t\treturn fmt.Errorf(\"synchronizing LDAP: %w\", err)\n\t}\n\n\tcclog.Print(\"Sync LDAP: LDAP synchronization successfull.\")\n\treturn nil\n}\n\nfunc generateJWT(authHandle *auth.Authentication, username string) error {\n\tur := repository.GetUserRepository()\n\tuser, err := ur.GetUser(username)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"getting user '%s': %w\", username, err)\n\t}\n\n\tif !user.HasRole(schema.RoleAPI) {\n\t\tcclog.Warnf(\"JWT: User '%s' does not have the role 'api'. REST API endpoints will return error!\\n\", user.Username)\n\t}\n\n\tjwt, err := authHandle.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"generating JWT for user '%s': %w\", user.Username, err)\n\t}\n\n\tcclog.Printf(\"JWT: Successfully generated JWT for user '%s': %s\\n\", user.Username, jwt)\n\treturn nil\n}\n\nfunc initSubsystems() error {\n\t// Initialize nats client\n\tnatsConfig := ccconf.GetPackageConfig(\"nats\")\n\tif err := nats.Init(natsConfig); err != nil {\n\t\tcclog.Warnf(\"initializing (optional) nats client: %s\", err.Error())\n\t}\n\tnats.Connect()\n\n\t// Initialize job archive\n\tarchiveCfg := ccconf.GetPackageConfig(\"archive\")\n\tif archiveCfg == nil {\n\t\tcclog.Debug(\"Archive configuration not found, using default archive configuration\")\n\t\tarchiveCfg = json.RawMessage(defaultArchiveConfig)\n\t}\n\tif err := archive.Init(archiveCfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing archive: %w\", err)\n\t}\n\n\t// Handle database re-initialization\n\tif flagReinitDB {\n\t\tif err := importer.InitDB(); err != nil {\n\t\t\treturn fmt.Errorf(\"re-initializing repository DB: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Init DB: Successfully re-initialized repository DB.\")\n\t}\n\n\t// Handle job import\n\tif flagImportJob != \"\" {\n\t\tif err := importer.HandleImportFlag(flagImportJob); err != nil {\n\t\t\treturn fmt.Errorf(\"importing job: %w\", err)\n\t\t}\n\t\tcclog.Infof(\"Import Job: Imported Job '%s' into DB\", flagImportJob)\n\t}\n\n\t// Initialize taggers\n\tif config.Keys.EnableJobTaggers {\n\t\ttagger.Init()\n\t}\n\n\t// Apply tags if requested\n\tif flagApplyTags {\n\t\ttagger.Init()\n\n\t\tif err := tagger.RunTaggers(); err != nil {\n\t\t\treturn fmt.Errorf(\"running job taggers: %w\", err)\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc runServer(ctx context.Context) error {\n\tvar wg sync.WaitGroup\n\n\t// Initialize metric store if configuration is provided\n\thaveMetricstore := false\n\tmscfg := ccconf.GetPackageConfig(\"metric-store\")\n\tif mscfg != nil {\n\t\tmetrics := metricstore.BuildMetricList()\n\t\tmetricstore.Init(mscfg, metrics, &wg)\n\n\t\t// Inject repository as NodeProvider to break import cycle\n\t\tms := metricstore.GetMemoryStore()\n\t\tjobRepo := repository.GetJobRepository()\n\t\tms.SetNodeProvider(jobRepo)\n\t\tmetricstore.MetricStoreHandle = &metricstore.InternalMetricStore{}\n\t\thaveMetricstore = true\n\t} else {\n\t\tmetricstore.MetricStoreHandle = nil\n\t\tcclog.Debug(\"missing internal metricstore configuration\")\n\t}\n\n\t// Initialize external metric stores if configuration is provided\n\tmscfg = ccconf.GetPackageConfig(\"metric-store-external\")\n\tif mscfg != nil {\n\t\terr := metricdispatch.Init(mscfg)\n\n\t\tif err != nil {\n\t\t\tcclog.Debugf(\"error while initializing external metricdispatch: %v\", err)\n\t\t} else {\n\t\t\thaveMetricstore = true\n\t\t}\n\t}\n\n\tif !haveMetricstore {\n\t\treturn fmt.Errorf(\"missing metricstore configuration\")\n\t}\n\n\t// Start archiver and task manager\n\tarchiver.Start(repository.GetJobRepository(), ctx)\n\ttaskmanager.Start(ccconf.GetPackageConfig(\"cron\"), ccconf.GetPackageConfig(\"archive\"))\n\n\t// Initialize web UI\n\tcfg := ccconf.GetPackageConfig(\"ui\")\n\tif err := web.Init(cfg); err != nil {\n\t\treturn fmt.Errorf(\"initializing web UI: %w\", err)\n\t}\n\n\t// Initialize HTTP server\n\tsrv, err := NewServer(version, commit, date)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"creating server: %w\", err)\n\t}\n\n\t// Channel to collect errors from server\n\terrChan := make(chan error, 1)\n\n\t// Start HTTP server\n\twg.Go(func() {\n\t\tif err := srv.Start(ctx); err != nil {\n\t\t\terrChan <- err\n\t\t}\n\t})\n\n\t// Handle shutdown signals\n\twg.Add(1)\n\tsigs := make(chan os.Signal, 1)\n\tsignal.Notify(sigs, syscall.SIGINT, syscall.SIGTERM)\n\tgo func() {\n\t\tdefer wg.Done()\n\t\tselect {\n\t\tcase <-sigs:\n\t\t\tcclog.Info(\"Shutdown signal received\")\n\t\tcase <-ctx.Done():\n\t\t}\n\n\t\truntime.SystemdNotify(false, \"Shutting down ...\")\n\t\tsrv.Shutdown(ctx)\n\t\tutil.FsWatcherShutdown()\n\t\ttaskmanager.Shutdown()\n\t}()\n\n\t// Set GC percent if not configured\n\tif os.Getenv(envGOGC) == \"\" {\n\t\t// trigger GC when heap grows 15% above the previous live set\n\t\tdebug.SetGCPercent(15)\n\t}\n\truntime.SystemdNotify(true, \"running\")\n\n\twaitDone := make(chan struct{})\n\tgo func() {\n\t\twg.Wait()\n\t\tclose(waitDone)\n\t}()\n\n\tgo func() {\n\t\t<-waitDone\n\t\tclose(errChan)\n\t}()\n\n\t// Wait for either:\n\t// 1. An error from server startup\n\t// 2. Completion of all goroutines (normal shutdown or crash)\n\tselect {\n\tcase err := <-errChan:\n\t\t// errChan will be closed when waitDone is closed, which happens\n\t\t// when all goroutines complete (either from normal shutdown or error)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\tcase <-time.After(100 * time.Millisecond):\n\t\t// Give the server 100ms to start and report any immediate startup errors\n\t\t// After that, just wait for normal shutdown completion\n\t\tselect {\n\t\tcase err := <-errChan:\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\tcase <-waitDone:\n\t\t\t// Normal shutdown completed\n\t\t}\n\t}\n\n\tcclog.Print(\"Graceful shutdown completed!\")\n\treturn nil\n}\n\nfunc run() error {\n\tcliInit()\n\n\tif flagVersion {\n\t\tprintVersion()\n\t\treturn nil\n\t}\n\n\t// Initialize logger\n\tcclog.Init(flagLogLevel, flagLogDateTime)\n\n\t// Handle init flag\n\tif flagInit {\n\t\tinitEnv()\n\t\tcclog.Exit(\"Successfully setup environment!\\n\" +\n\t\t\t\"Please review config.json and .env and adjust it to your needs.\\n\" +\n\t\t\t\"Add your job-archive at ./var/job-archive.\")\n\t}\n\n\t// Initialize gops agent\n\tif err := initGops(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems in dependency order:\n\t// 1. Load environment variables from .env file (contains sensitive configuration)\n\t// 2. Load configuration from config.json (may reference environment variables)\n\t// 3. Handle database migration commands if requested\n\t// 4. Initialize database connection (requires config for connection string)\n\t// 5. Handle user commands if requested (requires database and authentication config)\n\t// 6. Initialize subsystems like archive and metrics (require config and database)\n\n\t// Load environment and configuration\n\tif err := loadEnvironment(); err != nil {\n\t\treturn err\n\t}\n\n\tif err := initConfiguration(); err != nil {\n\t\treturn err\n\t}\n\n\t// Handle database migration (migrate, revert, force)\n\tif err := handleDatabaseCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize database\n\tif err := initDatabase(); err != nil {\n\t\treturn err\n\t}\n\n\t// Optimize database if requested\n\tif flagOptimizeDB {\n\t\tdb := repository.GetConnection()\n\t\tcclog.Print(\"Running VACUUM to reclaim space and defragment database...\")\n\t\tif _, err := db.DB.Exec(\"VACUUM\"); err != nil {\n\t\t\treturn fmt.Errorf(\"VACUUM failed: %w\", err)\n\t\t}\n\t\tcclog.Print(\"Running ANALYZE to update query planner statistics...\")\n\t\tif _, err := db.DB.Exec(\"ANALYZE\"); err != nil {\n\t\t\treturn fmt.Errorf(\"ANALYZE failed: %w\", err)\n\t\t}\n\t\tcclog.Exitf(\"OptimizeDB Success: Database '%s' optimized (VACUUM + ANALYZE).\\n\", config.Keys.DB)\n\t}\n\n\t// Handle user commands (add, delete, sync, JWT)\n\tif err := handleUserCommands(); err != nil {\n\t\treturn err\n\t}\n\n\t// Initialize subsystems (archive, metrics, taggers)\n\tif err := initSubsystems(); err != nil {\n\t\treturn err\n\t}\n\n\t// Exit if start server is not requested\n\tif !flagServer {\n\t\tcclog.Exit(\"No errors, server flag not set. Exiting cc-backend.\")\n\t}\n\n\t// Run server with context\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel()\n\n\treturn runServer(ctx)\n}\n\nfunc main() {\n\tif err := run(); err != nil {\n\t\tcclog.Error(err.Error())\n\t\tos.Exit(1)\n\t}\n}\n","structuredPatch":[{"oldStart":126,"oldLines":6,"newStart":126,"newLines":9,"lines":[" if dc.ConnectionMaxIdleTimeMins > 0 {"," cfg.ConnectionMaxIdleTime = time.Duration(dc.ConnectionMaxIdleTimeMins) * time.Minute"," }","+ if dc.BusyTimeoutMs > 0 {","+ cfg.BusyTimeoutMs = dc.BusyTimeoutMs","+ }"," repository.SetConfig(cfg)"," }"," repository.Connect(config.Keys.DB)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"69040aa8-8fbb-48cf-8108-f71e53910a0f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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Here's what was updated:\n\n- **`README.md`**: Added `busy-timeout-ms` to the example JSON and options table\n- **`internal/config/config.go`**: Added `BusyTimeoutMs` field to `DbConfig` struct with JSON tag `\"busy-timeout-ms\"`\n- **`internal/config/schema.go`**: Added `busy-timeout-ms` to the JSON schema validation\n- **`cmd/cc-backend/main.go`**: Added mapping from `dc.BusyTimeoutMs` to `cfg.BusyTimeoutMs` in `initDatabase()`\n\nThe setting was previously only available as a code default (60000ms). 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+ +--- + +Update the Database config section in the README to reflect the new setting \ No newline at end of file diff --git a/81/097a6c52a2/metadata.json b/81/097a6c52a2/metadata.json new file mode 100644 index 00000000..bbe571df --- /dev/null +++ b/81/097a6c52a2/metadata.json @@ -0,0 +1,28 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "81097a6c52a2", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "README.md", + "cmd/cc-backend/main.go", + "internal/config/config.go", + "internal/config/schema.go" + ], + "sessions": [ + { + "metadata": "/81/097a6c52a2/0/metadata.json", + "transcript": "/81/097a6c52a2/0/full.jsonl", + "content_hash": "/81/097a6c52a2/0/content_hash.txt", + "prompt": "/81/097a6c52a2/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 55, + "cache_creation_tokens": 122203, + "cache_read_tokens": 4629600, + "output_tokens": 17587, + "api_call_count": 45 + } +} diff --git a/82/88af281b94/0/content_hash.txt b/82/88af281b94/0/content_hash.txt new file mode 100644 index 00000000..4432d1c8 --- /dev/null +++ b/82/88af281b94/0/content_hash.txt @@ -0,0 +1 @@ +sha256:f6e0fbaae50d56d528d373d4e0cd4d9e2a92acda188601b11ab43ee6c3716d74 \ No newline at end of file diff --git a/82/88af281b94/0/full.jsonl b/82/88af281b94/0/full.jsonl new file mode 100644 index 00000000..185cabcd --- /dev/null +++ b/82/88af281b94/0/full.jsonl @@ -0,0 +1,76 @@ +{"type":"file-history-snapshot","messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"d42d9a0e-d8d8-4b03-8530-6b600c20f5fc","toolUseID":"d42d9a0e-d8d8-4b03-8530-6b600c20f5fc","timestamp":"2026-03-13T06:51:34.728Z","uuid":"dd66862b-becb-474c-9673-12d9c2fca5ef","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"dd66862b-becb-474c-9673-12d9c2fca5ef","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Metricstore Memory Explosion Fix Plan\n\n## Root Cause Analysis\n\nThe memory explosion has two interacting causes:\n1. **Emergency free mechanism is broken** — freed buffers go back to pool, pool isn't cleared after the loop, so `mem.Alloc` never decreases. The loop runs 100 iterations uselessly, then waits 1 hour before trying again. Memory grows unchecked.\n2. **Batch abort on write error** — a single out-of-order timestamp aborts the entire NATS batch (`lineprotocol.go:361`). This causes data gaps across many metrics/hosts, producing the \"does not align\" warnings during reads. The same instability that causes timestamp issues causes bursts of data that grow memory.\n\n## Changes\n\n### 1. `pkg/metricstore/metricstore.go` — Fix MemoryUsageTracker (lines 383-476)\n- Remove premature `bufferPool.Clear()` + log at lines 431-432\n- In emergency loop (lines 439-458): add `bufferPool.Clear()` + `runtime.GC()` before `ReadMemStats` at line 455\n- After loop: add `bufferPool.Clear()` + uncomment `debug.FreeOSMemory()` (lines 460-462)\n- Add adaptive ticker: if memory > 80% cap, reset ticker to 30s; else normal interval\n- Replace progressive `ForceFree` loop with `Free(nil, threshold)` using progressive threshold (fewer tree traversals, more effective)\n\n### 2. `pkg/metricstore/config.go` — Reduce check interval (line 56)\n- Change `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute`\n- Add `MemoryCheckInterval string` field to `MetricStoreConfig`\n\n### 3. `pkg/metricstore/lineprotocol.go` — Don't abort batch on write error (lines 361-363)\n- Change `return err` to `cclog.Warn(...)` + `continue` so remaining lines in the NATS message are processed\n\n### 4. `pkg/metricstore/level.go` — Prune empty levels after free\n- Modify `free()` to return emptiness flag; parent deletes empty children from map\n- Improve `sizeInBytes()` to count buffer struct overhead (not just float data)\n\n### 5. `pkg/metricstore/buffer.go` — Add `bufferCount()` helper\n- Count linked-list length for overhead calculation in `sizeInBytes()`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/7e911723-3abe-436f-b672-d1eef82d81c0.jsonl"},"uuid":"167aeef9-9a54-4dde-b724-900d9f7638ae","timestamp":"2026-03-13T06:51:31.951Z","planContent":"# Metricstore Memory Explosion Fix Plan\n\n## Root Cause Analysis\n\nThe memory explosion has two interacting causes:\n1. **Emergency free mechanism is broken** — freed buffers go back to pool, pool isn't cleared after the loop, so `mem.Alloc` never decreases. The loop runs 100 iterations uselessly, then waits 1 hour before trying again. Memory grows unchecked.\n2. **Batch abort on write error** — a single out-of-order timestamp aborts the entire NATS batch (`lineprotocol.go:361`). This causes data gaps across many metrics/hosts, producing the \"does not align\" warnings during reads. The same instability that causes timestamp issues causes bursts of data that grow memory.\n\n## Changes\n\n### 1. `pkg/metricstore/metricstore.go` — Fix MemoryUsageTracker (lines 383-476)\n- Remove premature `bufferPool.Clear()` + log at lines 431-432\n- In emergency loop (lines 439-458): add `bufferPool.Clear()` + `runtime.GC()` before `ReadMemStats` at line 455\n- After loop: add `bufferPool.Clear()` + uncomment `debug.FreeOSMemory()` (lines 460-462)\n- Add adaptive ticker: if memory > 80% cap, reset ticker to 30s; else normal interval\n- Replace progressive `ForceFree` loop with `Free(nil, threshold)` using progressive threshold (fewer tree traversals, more effective)\n\n### 2. `pkg/metricstore/config.go` — Reduce check interval (line 56)\n- Change `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute`\n- Add `MemoryCheckInterval string` field to `MetricStoreConfig`\n\n### 3. `pkg/metricstore/lineprotocol.go` — Don't abort batch on write error (lines 361-363)\n- Change `return err` to `cclog.Warn(...)` + `continue` so remaining lines in the NATS message are processed\n\n### 4. `pkg/metricstore/level.go` — Prune empty levels after free\n- Modify `free()` to return emptiness flag; parent deletes empty children from map\n- Improve `sizeInBytes()` to count buffer struct overhead (not just float data)\n\n### 5. `pkg/metricstore/buffer.go` — Add `bufferCount()` helper\n- Count linked-list length for overhead calculation in `sizeInBytes()`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"167aeef9-9a54-4dde-b724-900d9f7638ae","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkBW59RCY6tGSB56nAGA//z3lRvJEDn5iJLOClMZGjxNRiWuAGiCmaIgNTdta1Sy/TNzx1kW0Sge7rGR/PxRSRnzEgxK8b8uwraTQBzMe5oaDPJaMCG8RF5eeZwUUiIwnqHPOdpt6cL6OQF8XcJa7007BGRTJo7lJUyVZ0a1dmw5UmieO+gnKWqUWGSD0QTZKnDm9NBDNIVf65zz6tniU2i+yXhPvfQxcS7iC1lO9kbcJObsJChK9BVhCRN6sWi7rWPekQrMC0swmq+4SemtgENuUgtlIohUlJUGFn6tqPFU1m4yKiA+XlHLO20GH/c/hLYfsb6Rx9X4Kc+K6DFZ62/xGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"8df415c0-2fb7-471e-9d6c-f46271816d9b","timestamp":"2026-03-13T06:51:36.897Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8df415c0-2fb7-471e-9d6c-f46271816d9b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the relevant files first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"2e4b496b-5820-4fa6-beb4-a6d6d85b72b8","timestamp":"2026-03-13T06:51:37.450Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"2e4b496b-5820-4fa6-beb4-a6d6d85b72b8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EbJddfnEeN7LrkG2yCuCRM","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","timestamp":"2026-03-13T06:51:38.355Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EbJddfnEeN7LrkG2yCuCRM","toolUseID":"toolu_01EbJddfnEeN7LrkG2yCuCRM","timestamp":"2026-03-13T06:51:38.364Z","uuid":"4766aebb-ec10-4efc-98eb-c2e1664f12a4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EbJddfnEeN7LrkG2yCuCRM","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides an efficient in-memory time-series metric storage system\n 7→// with support for hierarchical data organization, checkpointing, and archiving.\n 8→//\n 9→// The package organizes metrics in a tree structure (cluster → host → component) and\n 10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n 11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n 12→// and enforcing retention policies.\n 13→//\n 14→// Key features:\n 15→// - In-memory metric storage with configurable retention\n 16→// - Hierarchical data organization (selectors)\n 17→// - Concurrent checkpoint/archive workers\n 18→// - Support for sum and average aggregation\n 19→// - NATS integration for metric ingestion\n 20→package metricstore\n 21→\n 22→import (\n 23→\t\"bytes\"\n 24→\t\"context\"\n 25→\t\"encoding/json\"\n 26→\t\"errors\"\n 27→\t\"fmt\"\n 28→\t\"runtime\"\n 29→\t\"runtime/debug\"\n 30→\t\"slices\"\n 31→\t\"sync\"\n 32→\t\"time\"\n 33→\n 34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 39→)\n 40→\n 41→// GlobalState holds the global state for the metric store with thread-safe access.\n 42→type GlobalState struct {\n 43→\tmu sync.RWMutex\n 44→\tlastRetentionTime int64\n 45→\tselectorsExcluded bool\n 46→}\n 47→\n 48→var (\n 49→\tsingleton sync.Once\n 50→\tmsInstance *MemoryStore\n 51→\t// shutdownFunc stores the context cancellation function created in Init\n 52→\t// and is called during Shutdown to cancel all background goroutines\n 53→\tshutdownFunc context.CancelFunc\n 54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n 55→\t// Create a global instance\n 56→\tstate = &GlobalState{}\n 57→)\n 58→\n 59→// NodeProvider provides information about nodes currently in use by running jobs.\n 60→//\n 61→// This interface allows metricstore to query job information without directly\n 62→// depending on the repository package, breaking the import cycle.\n 63→//\n 64→// Implementations should return nodes that are actively processing jobs started\n 65→// before the given timestamp. These nodes will be excluded from retention-based\n 66→// garbage collection to prevent data loss for jobs that are still running or\n 67→// recently completed.\n 68→type NodeProvider interface {\n 69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n 70→\t// that are currently in use by jobs that started before the given timestamp.\n 71→\t//\n 72→\t// Parameters:\n 73→\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n 74→\t//\n 75→\t// Returns:\n 76→\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n 77→\t// - Error if the query fails\n 78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n 79→}\n 80→\n 81→// Metric represents a single metric data point to be written to the store.\n 82→type Metric struct {\n 83→\tName string\n 84→\tValue schema.Float\n 85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n 86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n 87→\tMetricConfig MetricConfig\n 88→}\n 89→\n 90→// MemoryStore is the main in-memory time-series metric storage implementation.\n 91→//\n 92→// It organizes metrics in a hierarchical tree structure where each level represents\n 93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n 94→// store multiple metrics as time-series buffers.\n 95→//\n 96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n 97→// All public methods are safe for concurrent use.\n 98→type MemoryStore struct {\n 99→\tMetrics map[string]MetricConfig\n 100→\troot Level\n 101→\tnodeProvider NodeProvider\n 102→}\n 103→\n 104→// Init initializes the metric store from configuration and starts background workers.\n 105→//\n 106→// This function must be called exactly once before any other metricstore operations.\n 107→// It performs the following initialization steps:\n 108→// 1. Validates and decodes the metric store configuration\n 109→// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n 110→// 3. Loads metric configurations from all registered clusters\n 111→// 4. Restores checkpoints within the retention window\n 112→// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n 113→// 6. Optionally subscribes to NATS for real-time metric ingestion\n 114→//\n 115→// Parameters:\n 116→// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n 117→// - wg: WaitGroup that will be incremented for each background goroutine started\n 118→//\n 119→// The function will call cclog.Fatal on critical errors during initialization.\n 120→// Use Shutdown() to cleanly stop all background workers started by Init().\n 121→//\n 122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n 123→// receiving termination signals to ensure checkpoint data is persisted.\n 124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n 125→\tstartupTime := time.Now()\n 126→\n 127→\tif rawConfig != nil {\n 128→\t\tconfig.Validate(configSchema, rawConfig)\n 129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 130→\t\tdec.DisallowUnknownFields()\n 131→\t\tif err := dec.Decode(&Keys); err != nil {\n 132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n 133→\t\t}\n 134→\t}\n 135→\n 136→\t// Set NumWorkers from config or use default\n 137→\tif Keys.NumWorkers <= 0 {\n 138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n 139→\t}\n 140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n 141→\n 142→\t// Pass the config.MetricStoreKeys\n 143→\tInitMetrics(metrics)\n 144→\n 145→\tms := GetMemoryStore()\n 146→\n 147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 148→\tif err != nil {\n 149→\t\tcclog.Fatal(err)\n 150→\t}\n 151→\n 152→\trestoreFrom := startupTime.Add(-d)\n 153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n 154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n 155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n 156→\tif err != nil {\n 157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n 158→\t} else {\n 159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n 160→\t}\n 161→\n 162→\t// Try to use less memory by forcing a GC run here and then\n 163→\t// lowering the target percentage. The default of 100 means\n 164→\t// that only once the ratio of new allocations execeds the\n 165→\t// previously active heap, a GC is triggered.\n 166→\t// Forcing a GC here will set the \"previously active heap\"\n 167→\t// to a minumum.\n 168→\t// runtime.GC()\n 169→\n 170→\tctx, shutdown := context.WithCancel(context.Background())\n 171→\n 172→\tRetention(wg, ctx)\n 173→\tCheckpointing(wg, ctx)\n 174→\tCleanUp(wg, ctx)\n 175→\tWALStaging(wg, ctx)\n 176→\tMemoryUsageTracker(wg, ctx)\n 177→\n 178→\t// Note: Signal handling has been removed from this function.\n 179→\t// The caller is responsible for handling shutdown signals and calling\n 180→\t// the shutdown() function when appropriate.\n 181→\t// Store the shutdown function for later use by Shutdown()\n 182→\tshutdownFuncMu.Lock()\n 183→\tshutdownFunc = shutdown\n 184→\tshutdownFuncMu.Unlock()\n 185→\n 186→\tif Keys.Subscriptions != nil {\n 187→\t\terr = ReceiveNats(ms, 1, ctx)\n 188→\t\tif err != nil {\n 189→\t\t\tcclog.Fatal(err)\n 190→\t\t}\n 191→\t}\n 192→}\n 193→\n 194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n 195→//\n 196→// This function must be called before GetMemoryStore() and can only be called once due to\n 197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n 198→//\n 199→// Parameters:\n 200→// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n 201→//\n 202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n 203→//\n 204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n 205→func InitMetrics(metrics map[string]MetricConfig) {\n 206→\tsingleton.Do(func() {\n 207→\t\toffset := 0\n 208→\t\tfor key, cfg := range metrics {\n 209→\t\t\tif cfg.Frequency == 0 {\n 210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n 211→\t\t\t}\n 212→\n 213→\t\t\tmetrics[key] = MetricConfig{\n 214→\t\t\t\tFrequency: cfg.Frequency,\n 215→\t\t\t\tAggregation: cfg.Aggregation,\n 216→\t\t\t\toffset: offset,\n 217→\t\t\t}\n 218→\t\t\toffset += 1\n 219→\t\t}\n 220→\n 221→\t\tmsInstance = &MemoryStore{\n 222→\t\t\troot: Level{\n 223→\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n 224→\t\t\t\tchildren: make(map[string]*Level),\n 225→\t\t\t},\n 226→\t\t\tMetrics: metrics,\n 227→\t\t}\n 228→\t})\n 229→}\n 230→\n 231→// GetMemoryStore returns the singleton MemoryStore instance.\n 232→//\n 233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n 234→//\n 235→// This function is safe for concurrent use after initialization.\n 236→func GetMemoryStore() *MemoryStore {\n 237→\tif msInstance == nil {\n 238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n 239→\t}\n 240→\n 241→\treturn msInstance\n 242→}\n 243→\n 244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n 245→\tif metric, ok := ms.Metrics[metricName]; ok {\n 246→\t\treturn metric.Frequency, nil\n 247→\t}\n 248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n 249→}\n 250→\n 251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n 252→// This must be called during initialization to provide job state information\n 253→// for selective buffer retention during Free operations.\n 254→// If not set, the Free function will fall back to freeing all buffers.\n 255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n 256→\tms.nodeProvider = provider\n 257→}\n 258→\n 259→// Shutdown performs a graceful shutdown of the metric store.\n 260→//\n 261→// This function cancels all background goroutines started by Init() and writes\n 262→// a final checkpoint to disk before returning. It should be called when the\n 263→// application receives a termination signal.\n 264→//\n 265→// The function will:\n 266→// 1. Cancel the context to stop all background workers\n 267→// 2. Close the WAL messages channel if using WAL format\n 268→// 3. Write a final checkpoint to preserve in-memory data\n 269→// 4. Log any errors encountered during shutdown\n 270→//\n 271→// Note: This function blocks until the final checkpoint is written.\n 272→func Shutdown() {\n 273→\tshutdownFuncMu.Lock()\n 274→\tdefer shutdownFuncMu.Unlock()\n 275→\tif shutdownFunc != nil {\n 276→\t\tshutdownFunc()\n 277→\t}\n 278→\n 279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 280→\t\tclose(WALMessages)\n 281→\t}\n 282→\n 283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n 284→\tvar files int\n 285→\tvar err error\n 286→\n 287→\tms := GetMemoryStore()\n 288→\n 289→\tlastCheckpointMu.Lock()\n 290→\tfrom := lastCheckpoint\n 291→\tlastCheckpointMu.Unlock()\n 292→\n 293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 294→\t\tvar hostDirs []string\n 295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 296→\t\tif err == nil {\n 297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n 298→\t\t}\n 299→\t} else {\n 300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 301→\t}\n 302→\n 303→\tif err != nil {\n 304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n 305→\t}\n 306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n 307→}\n 308→\n 309→// Retention starts a background goroutine that periodically frees old metric data.\n 310→//\n 311→// This worker runs at half the retention interval and calls Free() to remove buffers\n 312→// older than the configured retention time. It respects the NodeProvider to preserve\n 313→// data for nodes with active jobs.\n 314→//\n 315→// Parameters:\n 316→// - wg: WaitGroup to signal completion when context is cancelled\n 317→// - ctx: Context for cancellation signal\n 318→//\n 319→// The goroutine exits when ctx is cancelled.\n 320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n 321→\tms := GetMemoryStore()\n 322→\n 323→\twg.Go(func() {\n 324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 325→\t\tif err != nil {\n 326→\t\t\tcclog.Fatal(err)\n 327→\t\t}\n 328→\t\tif d <= 0 {\n 329→\t\t\treturn\n 330→\t\t}\n 331→\n 332→\t\ttickInterval := d / 2\n 333→\t\tif tickInterval <= 0 {\n 334→\t\t\treturn\n 335→\t\t}\n 336→\t\tticker := time.NewTicker(tickInterval)\n 337→\t\tdefer ticker.Stop()\n 338→\n 339→\t\tfor {\n 340→\t\t\tselect {\n 341→\t\t\tcase <-ctx.Done():\n 342→\t\t\t\treturn\n 343→\t\t\tcase <-ticker.C:\n 344→\t\t\t\tstate.mu.Lock()\n 345→\n 346→\t\t\t\tt := time.Now().Add(-d)\n 347→\n 348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n 349→\n 350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n 351→\n 352→\t\t\t\tfreed, err := Free(ms, t)\n 353→\t\t\t\tif err != nil {\n 354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n 355→\t\t\t\t} else {\n 356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n 357→\t\t\t\t}\n 358→\n 359→\t\t\t\tstate.mu.Unlock()\n 360→\n 361→\t\t\t\t// Clean up the buffer pool\n 362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n 363→\t\t\t}\n 364→\t\t}\n 365→\t})\n 366→}\n 367→\n 368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n 369→//\n 370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n 371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n 372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n 373→// performance issues.\n 374→//\n 375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n 376→// visibility into memory overhead from Go runtime structures and allocations.\n 377→//\n 378→// Parameters:\n 379→// - wg: WaitGroup to signal completion when context is cancelled\n 380→// - ctx: Context for cancellation signal\n 381→//\n 382→// The goroutine exits when ctx is cancelled.\n 383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n 384→\tms := GetMemoryStore()\n 385→\n 386→\twg.Go(func() {\n 387→\t\td := DefaultMemoryUsageTrackerInterval\n 388→\n 389→\t\tif d <= 0 {\n 390→\t\t\treturn\n 391→\t\t}\n 392→\n 393→\t\tticker := time.NewTicker(d)\n 394→\t\tdefer ticker.Stop()\n 395→\n 396→\t\tfor {\n 397→\t\t\tselect {\n 398→\t\t\tcase <-ctx.Done():\n 399→\t\t\t\treturn\n 400→\t\t\tcase <-ticker.C:\n 401→\t\t\t\tvar mem runtime.MemStats\n 402→\t\t\t\truntime.ReadMemStats(&mem)\n 403→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 404→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 405→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 406→\n 407→\t\t\t\tfreedExcluded := 0\n 408→\t\t\t\tfreedEmergency := 0\n 409→\t\t\t\tvar err error\n 410→\n 411→\t\t\t\tstate.mu.RLock()\n 412→\t\t\t\tlastRetention := state.lastRetentionTime\n 413→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 414→\t\t\t\tstate.mu.RUnlock()\n 415→\n 416→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 417→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 418→\t\t\t\t\tif err != nil {\n 419→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 420→\t\t\t\t\t}\n 421→\n 422→\t\t\t\t\tif freedExcluded > 0 {\n 423→\t\t\t\t\t\tdebug.FreeOSMemory()\n 424→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 425→\t\t\t\t\t}\n 426→\t\t\t\t}\n 427→\n 428→\t\t\t\truntime.ReadMemStats(&mem)\n 429→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 430→\n 431→\t\t\t\tbufferPool.Clear()\n 432→\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n 433→\n 434→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n 435→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n 436→\n 437→\t\t\t\t\tconst maxIterations = 100\n 438→\n 439→\t\t\t\t\tfor i := range maxIterations {\n 440→\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n 441→\t\t\t\t\t\t\tbreak\n 442→\t\t\t\t\t\t}\n 443→\n 444→\t\t\t\t\t\tfreed, err := ms.ForceFree()\n 445→\t\t\t\t\t\tif err != nil {\n 446→\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n 447→\t\t\t\t\t\t}\n 448→\t\t\t\t\t\tif freed == 0 {\n 449→\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 450→\t\t\t\t\t\t\tbreak\n 451→\t\t\t\t\t\t}\n 452→\t\t\t\t\t\tfreedEmergency += freed\n 453→\n 454→\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n 455→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n 456→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 457→\t\t\t\t\t\t}\n 458→\t\t\t\t\t}\n 459→\n 460→\t\t\t\t\t// if freedEmergency > 0 {\n 461→\t\t\t\t\t// \tdebug.FreeOSMemory()\n 462→\t\t\t\t\t// }\n 463→\n 464→\t\t\t\t\truntime.ReadMemStats(&mem)\n 465→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 466→\n 467→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n 468→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 469→\t\t\t\t\t} else {\n 470→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n 471→\t\t\t\t\t}\n 472→\t\t\t\t}\n 473→\t\t\t}\n 474→\t\t}\n 475→\t})\n 476→}\n 477→\n 478→// Free removes metric data older than the given time while preserving data for active nodes.\n 479→//\n 480→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n 481→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n 482→// preserved even if older than the retention time.\n 483→//\n 484→// Parameters:\n 485→// - ms: The MemoryStore instance\n 486→// - t: Time threshold - buffers with data older than this will be freed\n 487→//\n 488→// Returns:\n 489→// - Number of buffers freed\n 490→// - Error if NodeProvider query fails\n 491→//\n 492→// Behavior:\n 493→// - If no NodeProvider is set: frees all buffers older than t\n 494→// - If NodeProvider returns empty map: frees all buffers older than t\n 495→// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n 496→func Free(ms *MemoryStore, t time.Time) (int, error) {\n 497→\t// If no NodeProvider is configured, free all buffers older than t\n 498→\tif ms.nodeProvider == nil {\n 499→\t\treturn ms.Free(nil, t.Unix())\n 500→\t}\n 501→\n 502→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n 503→\tif err != nil {\n 504→\t\treturn 0, err\n 505→\t}\n 506→\n 507→\tswitch lenMap := len(excludeSelectors); lenMap {\n 508→\n 509→\t// If the length of the map returned by GetUsedNodes() is 0,\n 510→\t// then use default Free method with nil selector\n 511→\tcase 0:\n 512→\t\tstate.selectorsExcluded = false\n 513→\t\treturn ms.Free(nil, t.Unix())\n 514→\n 515→\t// Else formulate selectors, exclude those from the map\n 516→\t// and free the rest of the selectors\n 517→\tdefault:\n 518→\t\tstate.selectorsExcluded = true\n 519→\t\tselectors := GetSelectors(ms, excludeSelectors)\n 520→\t\treturn FreeSelected(ms, selectors, t)\n 521→\t}\n 522→}\n 523→\n 524→// FreeSelected frees buffers for specific selectors while preserving others.\n 525→//\n 526→// This function is used when we want to retain some specific nodes beyond the retention time.\n 527→// It iterates through the provided selectors and frees their associated buffers.\n 528→//\n 529→// Parameters:\n 530→// - ms: The MemoryStore instance\n 531→// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n 532→// - t: Time threshold for freeing buffers\n 533→//\n 534→// Returns the total number of buffers freed and any error encountered.\n 535→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n 536→\tfreed := 0\n 537→\n 538→\tfor _, selector := range selectors {\n 539→\n 540→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n 541→\t\tif err != nil {\n 542→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n 543→\t\t}\n 544→\t\tfreed += freedBuffers\n 545→\n 546→\t}\n 547→\n 548→\treturn freed, nil\n 549→}\n 550→\n 551→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n 552→//\n 553→// This function generates a list of selectors whose buffers should be freed by excluding\n 554→// selectors that correspond to nodes currently in use by running jobs.\n 555→//\n 556→// Parameters:\n 557→// - ms: The MemoryStore instance\n 558→// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n 559→//\n 560→// Returns a list of selectors ([]string paths) that can be safely freed.\n 561→//\n 562→// Example:\n 563→//\n 564→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n 565→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n 566→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n 567→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n 568→\tallSelectors := ms.GetPaths(2)\n 569→\n 570→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n 571→\n 572→\tfor _, path := range allSelectors {\n 573→\t\tif len(path) < 2 {\n 574→\t\t\tcontinue\n 575→\t\t}\n 576→\n 577→\t\tkey := path[0] // The \"Key\" (Level 1)\n 578→\t\tvalue := path[1] // The \"Value\" (Level 2)\n 579→\n 580→\t\texclude := false\n 581→\n 582→\t\t// Check if the key exists in our exclusion map\n 583→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n 584→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n 585→\t\t\tif slices.Contains(excludedValues, value) {\n 586→\t\t\t\texclude = true\n 587→\t\t\t}\n 588→\t\t}\n 589→\n 590→\t\tif !exclude {\n 591→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n 592→\t\t}\n 593→\t}\n 594→\n 595→\treturn filteredSelectors\n 596→}\n 597→\n 598→// GetPaths returns a list of lists (paths) to the specified depth.\n 599→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n 600→\tvar results [][]string\n 601→\n 602→\t// Start recursion. Initial path is empty.\n 603→\t// We treat Root as depth 0.\n 604→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n 605→\n 606→\treturn results\n 607→}\n 608→\n 609→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n 610→// Look at `findLevelOrCreate` for how selectors work.\n 611→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n 612→\tvar ok bool\n 613→\tfor i, metric := range metrics {\n 614→\t\tif metric.MetricConfig.Frequency == 0 {\n 615→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n 616→\t\t\tif !ok {\n 617→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n 618→\t\t\t\tmetric.MetricConfig.Frequency = 0\n 619→\t\t\t}\n 620→\t\t\tmetrics[i] = metric\n 621→\t\t}\n 622→\t}\n 623→\n 624→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n 625→}\n 626→\n 627→func (m *MemoryStore) GetLevel(selector []string) *Level {\n 628→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n 629→}\n 630→\n 631→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n 632→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n 633→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n 634→\tl.lock.Lock()\n 635→\tdefer l.lock.Unlock()\n 636→\n 637→\tfor _, metric := range metrics {\n 638→\t\tif metric.MetricConfig.Frequency == 0 {\n 639→\t\t\tcontinue\n 640→\t\t}\n 641→\n 642→\t\tb := l.metrics[metric.MetricConfig.offset]\n 643→\t\tif b == nil {\n 644→\t\t\t// First write to this metric and level\n 645→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n 646→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n 647→\t\t}\n 648→\n 649→\t\tnb, err := b.write(ts, metric.Value)\n 650→\t\tif err != nil {\n 651→\t\t\treturn err\n 652→\t\t}\n 653→\n 654→\t\t// Last write created a new buffer...\n 655→\t\tif b != nb {\n 656→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n 657→\t\t}\n 658→\t}\n 659→\treturn nil\n 660→}\n 661→\n 662→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n 663→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n 664→// The second and third return value are the actual from/to for the data. Those can be different from\n 665→// the range asked for if no data was available.\n 666→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n 667→\tif from > to {\n 668→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n 669→\t}\n 670→\n 671→\tminfo, ok := m.Metrics[metric]\n 672→\tif !ok {\n 673→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n 674→\t}\n 675→\n 676→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n 677→\n 678→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 679→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n 680→\t\tif err != nil {\n 681→\t\t\treturn err\n 682→\t\t}\n 683→\n 684→\t\tif n == 0 {\n 685→\t\t\tfrom, to = cfrom, cto\n 686→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n 687→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n 688→\t\t\tif missingfront != 0 {\n 689→\t\t\t\treturn ErrDataDoesNotAlign\n 690→\t\t\t}\n 691→\n 692→\t\t\tnewlen := len(cdata) - missingback\n 693→\t\t\tif newlen < 1 {\n 694→\t\t\t\treturn ErrDataDoesNotAlign\n 695→\t\t\t}\n 696→\t\t\tcdata = cdata[0:newlen]\n 697→\t\t\tif len(cdata) != len(data) {\n 698→\t\t\t\treturn ErrDataDoesNotAlign\n 699→\t\t\t}\n 700→\n 701→\t\t\tfrom, to = cfrom, cto\n 702→\t\t}\n 703→\n 704→\t\tdata = cdata\n 705→\t\tn += 1\n 706→\t\treturn nil\n 707→\t})\n 708→\n 709→\tif err != nil {\n 710→\t\treturn nil, 0, 0, 0, err\n 711→\t} else if n == 0 {\n 712→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n 713→\t} else if n > 1 {\n 714→\t\tif minfo.Aggregation == AvgAggregation {\n 715→\t\t\tnormalize := 1. / schema.Float(n)\n 716→\t\t\tfor i := 0; i < len(data); i++ {\n 717→\t\t\t\tdata[i] *= normalize\n 718→\t\t\t}\n 719→\t\t} else if minfo.Aggregation != SumAggregation {\n 720→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n 721→\t\t}\n 722→\t}\n 723→\n 724→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n 725→\tif err != nil {\n 726→\t\treturn nil, 0, 0, 0, err\n 727→\t}\n 728→\n 729→\treturn data, from, to, resolution, nil\n 730→}\n 731→\n 732→// Free releases all buffers for the selected level and all its children that\n 733→// contain only values older than `t`.\n 734→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n 735→\treturn m.GetLevel(selector).free(t)\n 736→}\n 737→\n 738→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n 739→func (m *MemoryStore) ForceFree() (int, error) {\n 740→\treturn m.GetLevel(nil).forceFree()\n 741→}\n 742→\n 743→func (m *MemoryStore) FreeAll() error {\n 744→\tfor k := range m.root.children {\n 745→\t\tdelete(m.root.children, k)\n 746→\t}\n 747→\n 748→\treturn nil\n 749→}\n 750→\n 751→func (m *MemoryStore) SizeInBytes() int64 {\n 752→\treturn m.root.sizeInBytes()\n 753→}\n 754→\n 755→func (m *MemoryStore) SizeInGB() float64 {\n 756→\treturn float64(m.root.sizeInBytes()) / 1e9\n 757→}\n 758→\n 759→// ListChildren , given a selector, returns a list of all children of the level\n 760→// selected.\n 761→func (m *MemoryStore) ListChildren(selector []string) []string {\n 762→\tlvl := &m.root\n 763→\tfor lvl != nil && len(selector) != 0 {\n 764→\t\tlvl.lock.RLock()\n 765→\t\tnext := lvl.children[selector[0]]\n 766→\t\tlvl.lock.RUnlock()\n 767→\t\tlvl = next\n 768→\t\tselector = selector[1:]\n 769→\t}\n 770→\n 771→\tif lvl == nil {\n 772→\t\treturn nil\n 773→\t}\n 774→\n 775→\tlvl.lock.RLock()\n 776→\tdefer lvl.lock.RUnlock()\n 777→\n 778→\tchildren := make([]string, 0, len(lvl.children))\n 779→\tfor child := range lvl.children {\n 780→\t\tchildren = append(children, child)\n 781→\t}\n 782→\n 783→\treturn children\n 784→}\n 785→"}]},"uuid":"1e97e603-6306-434d-88ff-d1a464ec2fd7","timestamp":"2026-03-13T06:51:38.364Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":785,"startLine":1,"totalLines":785}},"sourceToolAssistantUUID":"d8d1a8d8-96b7-4919-bcc6-949d23a60249","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1e97e603-6306-434d-88ff-d1a464ec2fd7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","timestamp":"2026-03-13T06:51:38.802Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","toolUseID":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","timestamp":"2026-03-13T06:51:38.807Z","uuid":"6a44cbf3-47f8-4069-bd9a-197f0c69f685","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"02aaffa4-66f2-4db0-999f-096c2db78c1f","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qikk7RHmQ5aCygqQ29aHUQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides config.go: Configuration structures and metric management.\n 7→//\n 8→// # Configuration Hierarchy\n 9→//\n 10→// The metricstore package uses nested configuration structures:\n 11→//\n 12→//\tMetricStoreConfig (Keys)\n 13→//\t├─ NumWorkers: Parallel checkpoint/archive workers\n 14→//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n 15→//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n 16→//\t├─ Checkpoints: Persistence configuration\n 17→//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n 18→//\t│ └─ RootDir: Checkpoint storage path\n 19→//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n 20→//\t│ ├─ RootDir: Archive storage path (archive mode only)\n 21→//\t│ └─ Mode: \"delete\" or \"archive\"\n 22→//\t├─ Debug: Development/debugging options\n 23→//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n 24→//\n 25→// # Metric Configuration\n 26→//\n 27→// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n 28→// Metrics map, defining:\n 29→//\n 30→// - Frequency: Measurement interval in seconds\n 31→// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n 32→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 33→//\n 34→// # AggregationStrategy\n 35→//\n 36→// Determines how to combine metric values when aggregating from finer to coarser scopes:\n 37→//\n 38→// - NoAggregation: Do not combine (incompatible scopes)\n 39→// - SumAggregation: Add values (e.g., power consumption: core→socket)\n 40→// - AvgAggregation: Average values (e.g., temperature: core→socket)\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"fmt\"\n 45→\t\"time\"\n 46→\n 47→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 48→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 50→)\n 51→\n 52→const (\n 53→\tDefaultMaxWorkers = 10\n 54→\tDefaultBufferCapacity = 512\n 55→\tDefaultGCTriggerInterval = 100\n 56→\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n 57→)\n 58→\n 59→// Checkpoints configures periodic persistence of in-memory metric data.\n 60→//\n 61→// Fields:\n 62→// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n 63→// - RootDir: Filesystem path for checkpoint files (created if missing)\n 64→type Checkpoints struct {\n 65→\tFileFormat string `json:\"file-format\"`\n 66→\tRootDir string `json:\"directory\"`\n 67→}\n 68→\n 69→// Debug provides development and profiling options.\n 70→//\n 71→// Fields:\n 72→// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n 73→// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\n 74→type Debug struct {\n 75→\tDumpToFile string `json:\"dump-to-file\"`\n 76→\tEnableGops bool `json:\"gops\"`\n 77→}\n 78→\n 79→// Cleanup configures long-term storage of old metric data.\n 80→//\n 81→// Data older than RetentionInMemory is archived to disk or deleted.\n 82→// The cleanup interval is always RetentionInMemory.\n 83→//\n 84→// Fields:\n 85→// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n 86→// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\n 87→type Cleanup struct {\n 88→\tRootDir string `json:\"directory\"`\n 89→\tMode string `json:\"mode\"`\n 90→}\n 91→\n 92→// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n 93→//\n 94→// Each subscription receives metrics via NATS messaging, enabling real-time\n 95→// data collection from compute nodes.\n 96→//\n 97→// Fields:\n 98→// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n 99→// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\n 100→type Subscriptions []struct {\n 101→\t// Channel name\n 102→\tSubscribeTo string `json:\"subscribe-to\"`\n 103→\n 104→\t// Allow lines without a cluster tag, use this as default, optional\n 105→\tClusterTag string `json:\"cluster-tag\"`\n 106→}\n 107→\n 108→// MetricStoreConfig defines the main configuration for the metricstore.\n 109→//\n 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`\n 125→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 126→\tMemoryCap int `json:\"memory-cap\"`\n 127→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 128→\tDebug *Debug `json:\"debug\"`\n 129→\tCleanup *Cleanup `json:\"cleanup\"`\n 130→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 131→}\n 132→\n 133→// Keys is the global metricstore configuration instance.\n 134→//\n 135→// Initialized with defaults, then overwritten by cc-backend's config.json.\n 136→// Accessed by Init(), Checkpointing(), and other lifecycle functions.\n 137→var Keys MetricStoreConfig = MetricStoreConfig{\n 138→\tCheckpoints: Checkpoints{\n 139→\t\tFileFormat: \"wal\",\n 140→\t\tRootDir: \"./var/checkpoints\",\n 141→\t},\n 142→\tCleanup: &Cleanup{\n 143→\t\tMode: \"delete\",\n 144→\t},\n 145→}\n 146→\n 147→// AggregationStrategy defines how to combine metric values across hierarchy levels.\n 148→//\n 149→// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n 150→// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n 151→//\n 152→// Values:\n 153→// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n 154→// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n 155→// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\n 156→type AggregationStrategy int\n 157→\n 158→const (\n 159→\tNoAggregation AggregationStrategy = iota // Do not aggregate\n 160→\tSumAggregation // Sum values (e.g., power, energy)\n 161→\tAvgAggregation // Average values (e.g., temperature, utilization)\n 162→)\n 163→\n 164→// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n 165→//\n 166→// Used when loading metric configurations from JSON/YAML files.\n 167→//\n 168→// Parameters:\n 169→// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n 170→//\n 171→// Returns:\n 172→// - AggregationStrategy: Parsed value\n 173→// - error: Non-nil if str is unrecognized\n 174→func AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n 175→\tswitch str {\n 176→\tcase \"\":\n 177→\t\treturn NoAggregation, nil\n 178→\tcase \"sum\":\n 179→\t\treturn SumAggregation, nil\n 180→\tcase \"avg\":\n 181→\t\treturn AvgAggregation, nil\n 182→\tdefault:\n 183→\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n 184→\t}\n 185→}\n 186→\n 187→// MetricConfig defines configuration for a single metric type.\n 188→//\n 189→// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n 190→//\n 191→// Fields:\n 192→// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n 193→// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n 194→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 195→type MetricConfig struct {\n 196→\t// Interval in seconds at which measurements are stored\n 197→\tFrequency int64\n 198→\n 199→\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n 200→\tAggregation AggregationStrategy\n 201→\n 202→\t// Private, used internally...\n 203→\toffset int\n 204→}\n 205→\n 206→func BuildMetricList() map[string]MetricConfig {\n 207→\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n 208→\n 209→\taddMetric := func(name string, metric MetricConfig) error {\n 210→\t\tif metrics == nil {\n 211→\t\t\tmetrics = make(map[string]MetricConfig, 0)\n 212→\t\t}\n 213→\n 214→\t\tif existingMetric, ok := metrics[name]; ok {\n 215→\t\t\tif existingMetric.Frequency != metric.Frequency {\n 216→\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n 217→\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n 218→\t\t\t\t\tmetrics[name] = existingMetric\n 219→\t\t\t\t}\n 220→\t\t\t}\n 221→\t\t} else {\n 222→\t\t\tmetrics[name] = metric\n 223→\t\t}\n 224→\n 225→\t\treturn nil\n 226→\t}\n 227→\n 228→\t// Helper function to add metric configuration\n 229→\taddMetricConfig := func(mc *schema.MetricConfig) {\n 230→\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n 231→\t\tif err != nil {\n 232→\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n 233→\t\t}\n 234→\n 235→\t\taddMetric(mc.Name, MetricConfig{\n 236→\t\t\tFrequency: int64(mc.Timestep),\n 237→\t\t\tAggregation: agg,\n 238→\t\t})\n 239→\t}\n 240→\tfor _, c := range archive.Clusters {\n 241→\t\tfor _, mc := range c.MetricConfig {\n 242→\t\t\taddMetricConfig(mc)\n 243→\t\t}\n 244→\n 245→\t\tfor _, sc := range c.SubClusters {\n 246→\t\t\tfor _, mc := range sc.MetricConfig {\n 247→\t\t\t\taddMetricConfig(mc)\n 248→\t\t\t}\n 249→\t\t}\n 250→\t}\n 251→\n 252→\treturn metrics\n 253→}\n 254→"}]},"uuid":"e3daed94-d74d-41af-b75e-b2aebb72d6ee","timestamp":"2026-03-13T06:51:38.807Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","numLines":254,"startLine":1,"totalLines":254}},"sourceToolAssistantUUID":"02aaffa4-66f2-4db0-999f-096c2db78c1f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e3daed94-d74d-41af-b75e-b2aebb72d6ee","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013GrPD7Ni1PDgit3SmkH6gF","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"e77a0811-b490-4192-92c6-cdb285981ce5","timestamp":"2026-03-13T06:51:39.252Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e77a0811-b490-4192-92c6-cdb285981ce5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013GrPD7Ni1PDgit3SmkH6gF","toolUseID":"toolu_013GrPD7Ni1PDgit3SmkH6gF","timestamp":"2026-03-13T06:51:39.256Z","uuid":"5c0e1c1e-6977-42be-9797-aa14dce81a9f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e77a0811-b490-4192-92c6-cdb285981ce5","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013GrPD7Ni1PDgit3SmkH6gF","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file implements ingestion of InfluxDB line-protocol metric data received\n 7→// over NATS. Each line encodes one metric sample with the following structure:\n 8→//\n 9→//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n 10→//\n 11→// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n 12→// routing information (cluster, host) and optional sub-device selectors (type,\n 13→// subtype). Only one field is expected per line: \"value\".\n 14→//\n 15→// After decoding, each sample is:\n 16→// 1. Written to the in-memory store via ms.WriteToLevel.\n 17→// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n 18→// goroutine via the WALMessages channel for durable write-ahead logging.\n 19→package metricstore\n 20→\n 21→import (\n 22→\t\"bytes\"\n 23→\t\"context\"\n 24→\t\"fmt\"\n 25→\t\"sync\"\n 26→\t\"time\"\n 27→\n 28→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 29→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 30→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 31→\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 32→)\n 33→\n 34→// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n 35→// line-protocol messages into the MemoryStore.\n 36→//\n 37→// When workers > 1 a pool of goroutines drains a shared channel so that\n 38→// multiple messages can be decoded in parallel. With workers == 1 the NATS\n 39→// callback decodes inline (no channel overhead, lower latency).\n 40→//\n 41→// The function blocks until ctx is cancelled and all worker goroutines have\n 42→// finished. It returns nil when the NATS client is not configured; callers\n 43→// should treat that as a no-op rather than an error.\n 44→func ReceiveNats(ms *MemoryStore,\n 45→\tworkers int,\n 46→\tctx context.Context,\n 47→) error {\n 48→\tnc := nats.GetClient()\n 49→\n 50→\tif nc == nil {\n 51→\t\tcclog.Warn(\"NATS client not initialized\")\n 52→\t\treturn nil\n 53→\t}\n 54→\n 55→\tvar wg sync.WaitGroup\n 56→\tmsgs := make(chan []byte, workers*2)\n 57→\n 58→\tfor _, sc := range *Keys.Subscriptions {\n 59→\t\tclusterTag := sc.ClusterTag\n 60→\t\tif workers > 1 {\n 61→\t\t\twg.Add(workers)\n 62→\n 63→\t\t\tfor range workers {\n 64→\t\t\t\tgo func() {\n 65→\t\t\t\t\tdefer wg.Done()\n 66→\t\t\t\t\tfor m := range msgs {\n 67→\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n 68→\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n 69→\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n 70→\t\t\t\t\t\t}\n 71→\t\t\t\t\t}\n 72→\t\t\t\t}()\n 73→\t\t\t}\n 74→\n 75→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n 76→\t\t\t\tselect {\n 77→\t\t\t\tcase msgs <- data:\n 78→\t\t\t\tcase <-ctx.Done():\n 79→\t\t\t\t}\n 80→\t\t\t})\n 81→\t\t} else {\n 82→\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n 83→\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n 84→\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n 85→\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n 86→\t\t\t\t}\n 87→\t\t\t})\n 88→\t\t}\n 89→\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n 90→\t}\n 91→\n 92→\tgo func() {\n 93→\t\t<-ctx.Done()\n 94→\t\tclose(msgs)\n 95→\t}()\n 96→\n 97→\twg.Wait()\n 98→\n 99→\treturn nil\n 100→}\n 101→\n 102→// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n 103→// avoiding an allocation. Falls back to a regular append otherwise.\n 104→//\n 105→// It is used to assemble the \"type\" and \"subtype\" selector\n 106→// strings when the type tag arrives before the type-id tag in the line, so the\n 107→// two byte slices need to be concatenated in tag-declaration order regardless\n 108→// of wire order.\n 109→func reorder(buf, prefix []byte) []byte {\n 110→\tn := len(prefix)\n 111→\tm := len(buf)\n 112→\tif cap(buf) < m+n {\n 113→\t\treturn append(prefix[:n:n], buf...)\n 114→\t} else {\n 115→\t\tbuf = buf[:n+m]\n 116→\t\tfor i := m - 1; i >= 0; i-- {\n 117→\t\t\tbuf[i+n] = buf[i]\n 118→\t\t}\n 119→\t\tfor i := range n {\n 120→\t\t\tbuf[i] = prefix[i]\n 121→\t\t}\n 122→\t\treturn buf\n 123→\t}\n 124→}\n 125→\n 126→// decodeState holds the per-call scratch buffers used by DecodeLine.\n 127→// Instances are recycled via decodeStatePool to avoid repeated allocations\n 128→// during high-throughput ingestion.\n 129→type decodeState struct {\n 130→\t// metricBuf holds a copy of the current measurement name (line-protocol\n 131→\t// measurement field). Copied because dec.Measurement() returns a slice\n 132→\t// that is invalidated by the next decoder call.\n 133→\tmetricBuf []byte\n 134→\n 135→\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n 136→\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n 137→\tselector []string\n 138→\n 139→\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n 140→\t// current line. Reset at the start of each line's tag-decode loop.\n 141→\ttypeBuf []byte\n 142→\n 143→\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n 144→\t// Reset at the start of each line's tag-decode loop.\n 145→\tsubTypeBuf []byte\n 146→\n 147→\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n 148→\t// string conversion. Because consecutive lines in a batch typically address\n 149→\t// the same sub-device, the cache hit rate is very high and avoids\n 150→\t// repeated []byte→string allocations.\n 151→\tprevTypeBytes []byte\n 152→\tprevTypeStr string\n 153→\n 154→\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n 155→\tprevSubTypeBytes []byte\n 156→\tprevSubTypeStr string\n 157→}\n 158→\n 159→// decodeStatePool recycles decodeState values across DecodeLine calls to\n 160→// reduce GC pressure during sustained metric ingestion.\n 161→var decodeStatePool = sync.Pool{\n 162→\tNew: func() any {\n 163→\t\treturn &decodeState{\n 164→\t\t\tmetricBuf: make([]byte, 0, 16),\n 165→\t\t\tselector: make([]string, 0, 4),\n 166→\t\t\ttypeBuf: make([]byte, 0, 16),\n 167→\t\t\tsubTypeBuf: make([]byte, 0, 16),\n 168→\t\t}\n 169→\t},\n 170→}\n 171→\n 172→// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n 173→// decoded metric sample into ms.\n 174→//\n 175→// clusterDefault is used as the cluster name for lines that do not carry a\n 176→// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n 177→// subscription configuration.\n 178→//\n 179→// Performance notes:\n 180→// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n 181→// - The Level pointer (host-level node in the metric tree) is cached across\n 182→// consecutive lines that share the same cluster+host pair to avoid\n 183→// repeated lock acquisitions on the root and cluster levels.\n 184→// - []byte→string conversions for type/subtype selectors are cached via\n 185→// prevType*/prevSubType* fields because batches typically repeat the same\n 186→// sub-device identifiers.\n 187→// - Timestamp parsing tries Second precision first; if that fails it retries\n 188→// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n 189→// falls back to time.Now().\n 190→//\n 191→// When the checkpoint format is \"wal\" each successfully decoded sample is also\n 192→// sent to WALMessages so the WAL staging goroutine can persist it durably\n 193→// before the next binary snapshot.\n 194→func DecodeLine(dec *lineprotocol.Decoder,\n 195→\tms *MemoryStore,\n 196→\tclusterDefault string,\n 197→) error {\n 198→\t// Reduce allocations in loop:\n 199→\tt := time.Now()\n 200→\tmetric := Metric{}\n 201→\tst := decodeStatePool.Get().(*decodeState)\n 202→\tdefer decodeStatePool.Put(st)\n 203→\n 204→\t// Optimize for the case where all lines in a \"batch\" are about the same\n 205→\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n 206→\t// to take the root- and cluster-level lock as often.\n 207→\tvar lvl *Level = nil\n 208→\tprevCluster, prevHost := \"\", \"\"\n 209→\n 210→\tvar ok bool\n 211→\tfor dec.Next() {\n 212→\t\trawmeasurement, err := dec.Measurement()\n 213→\t\tif err != nil {\n 214→\t\t\treturn err\n 215→\t\t}\n 216→\n 217→\t\t// Needs to be copied because another call to dec.* would\n 218→\t\t// invalidate the returned slice.\n 219→\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n 220→\n 221→\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n 222→\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n 223→\t\tif !ok {\n 224→\t\t\tcontinue\n 225→\t\t}\n 226→\n 227→\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n 228→\t\tcluster, host := clusterDefault, \"\"\n 229→\t\tfor {\n 230→\t\t\tkey, val, err := dec.NextTag()\n 231→\t\t\tif err != nil {\n 232→\t\t\t\treturn err\n 233→\t\t\t}\n 234→\t\t\tif key == nil {\n 235→\t\t\t\tbreak\n 236→\t\t\t}\n 237→\n 238→\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n 239→\t\t\tswitch string(key) {\n 240→\t\t\tcase \"cluster\":\n 241→\t\t\t\tif string(val) == prevCluster {\n 242→\t\t\t\t\tcluster = prevCluster\n 243→\t\t\t\t} else {\n 244→\t\t\t\t\tcluster = string(val)\n 245→\t\t\t\t\tlvl = nil\n 246→\t\t\t\t}\n 247→\t\t\tcase \"hostname\", \"host\":\n 248→\t\t\t\tif string(val) == prevHost {\n 249→\t\t\t\t\thost = prevHost\n 250→\t\t\t\t} else {\n 251→\t\t\t\t\thost = string(val)\n 252→\t\t\t\t\tlvl = nil\n 253→\t\t\t\t}\n 254→\t\t\tcase \"type\":\n 255→\t\t\t\tif string(val) == \"node\" {\n 256→\t\t\t\t\tbreak\n 257→\t\t\t\t}\n 258→\n 259→\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n 260→\t\t\t\tif len(st.typeBuf) == 0 {\n 261→\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n 262→\t\t\t\t} else {\n 263→\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n 264→\t\t\t\t}\n 265→\t\t\tcase \"type-id\":\n 266→\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n 267→\t\t\tcase \"subtype\":\n 268→\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n 269→\t\t\t\tif len(st.subTypeBuf) == 0 {\n 270→\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n 271→\t\t\t\t} else {\n 272→\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n 273→\t\t\t\t}\n 274→\t\t\tcase \"stype-id\":\n 275→\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n 276→\t\t\tdefault:\n 277→\t\t\t}\n 278→\t\t}\n 279→\n 280→\t\t// If the cluster or host changed, the lvl was set to nil\n 281→\t\tif lvl == nil {\n 282→\t\t\tst.selector = st.selector[:2]\n 283→\t\t\tst.selector[0], st.selector[1] = cluster, host\n 284→\t\t\tlvl = ms.GetLevel(st.selector)\n 285→\t\t\tprevCluster, prevHost = cluster, host\n 286→\t\t}\n 287→\n 288→\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n 289→\t\t// share the same type/subtype so the hit rate is very high.\n 290→\t\tst.selector = st.selector[:0]\n 291→\t\tif len(st.typeBuf) > 0 {\n 292→\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n 293→\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n 294→\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n 295→\t\t\t}\n 296→\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n 297→\t\t\tif len(st.subTypeBuf) > 0 {\n 298→\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n 299→\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n 300→\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n 301→\t\t\t\t}\n 302→\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n 303→\t\t\t}\n 304→\t\t}\n 305→\n 306→\t\tfor {\n 307→\t\t\tkey, val, err := dec.NextField()\n 308→\t\t\tif err != nil {\n 309→\t\t\t\treturn err\n 310→\t\t\t}\n 311→\n 312→\t\t\tif key == nil {\n 313→\t\t\t\tbreak\n 314→\t\t\t}\n 315→\n 316→\t\t\tif string(key) != \"value\" {\n 317→\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n 318→\t\t\t}\n 319→\n 320→\t\t\tif val.Kind() == lineprotocol.Float {\n 321→\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n 322→\t\t\t} else if val.Kind() == lineprotocol.Int {\n 323→\t\t\t\tmetric.Value = schema.Float(val.IntV())\n 324→\t\t\t} else if val.Kind() == lineprotocol.Uint {\n 325→\t\t\t\tmetric.Value = schema.Float(val.UintV())\n 326→\t\t\t} else {\n 327→\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n 328→\t\t\t}\n 329→\t\t}\n 330→\n 331→\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n 332→\t\t\tt = time.Now()\n 333→\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n 334→\t\t\t\tt = time.Now()\n 335→\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n 336→\t\t\t\t\tt = time.Now()\n 337→\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n 338→\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n 339→\t\t\t\t\t}\n 340→\t\t\t\t}\n 341→\t\t\t}\n 342→\t\t}\n 343→\n 344→\t\tif err != nil {\n 345→\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n 346→\t\t}\n 347→\n 348→\t\ttime := t.Unix()\n 349→\n 350→\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 351→\t\t\tWALMessages <- &WALMessage{\n 352→\t\t\t\tMetricName: string(st.metricBuf),\n 353→\t\t\t\tCluster: cluster,\n 354→\t\t\t\tNode: host,\n 355→\t\t\t\tSelector: append([]string{}, st.selector...),\n 356→\t\t\t\tValue: metric.Value,\n 357→\t\t\t\tTimestamp: time,\n 358→\t\t\t}\n 359→\t\t}\n 360→\n 361→\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n 362→\t\t\treturn err\n 363→\t\t}\n 364→\t}\n 365→\treturn nil\n 366→}\n 367→"}]},"uuid":"86ae12ed-29df-49e4-b55a-f8bef65401d0","timestamp":"2026-03-13T06:51:39.255Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n// 1. Written to the in-memory store via ms.WriteToLevel.\n// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n// goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type\" and \"subtype\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf: make([]byte, 0, 16),\n\t\t\tselector: make([]string, 0, 4),\n\t\t\ttypeBuf: make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n// - The Level pointer (host-level node in the metric tree) is cached across\n// consecutive lines that share the same cluster+host pair to avoid\n// repeated lock acquisitions on the root and cluster levels.\n// - []byte→string conversions for type/subtype selectors are cached via\n// prevType*/prevSubType* fields because batches typically repeat the same\n// sub-device identifiers.\n// - Timestamp parsing tries Second precision first; if that fails it retries\n// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n// falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster: cluster,\n\t\t\t\tNode: host,\n\t\t\t\tSelector: append([]string{}, st.selector...),\n\t\t\t\tValue: metric.Value,\n\t\t\t\tTimestamp: time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n","numLines":367,"startLine":1,"totalLines":367}},"sourceToolAssistantUUID":"e77a0811-b490-4192-92c6-cdb285981ce5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"86ae12ed-29df-49e4-b55a-f8bef65401d0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JAQD1WnGapbNbL9C3hopCB","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4536},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","timestamp":"2026-03-13T06:51:39.707Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JAQD1WnGapbNbL9C3hopCB","toolUseID":"toolu_01JAQD1WnGapbNbL9C3hopCB","timestamp":"2026-03-13T06:51:39.714Z","uuid":"f0688715-d064-4b56-8609-78937e42856d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c9c1e733-70ea-45bf-8b1c-0af084380e92","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JAQD1WnGapbNbL9C3hopCB","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n 7→//\n 8→// # Level Architecture\n 9→//\n 10→// The Level type forms a tree structure where each node represents a level in the\n 11→// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n 12→// nodes for memory domains and accelerators.\n 13→//\n 14→// Structure:\n 15→//\n 16→//\tRoot Level (cluster=\"emmy\")\n 17→//\t├─ Level (host=\"node001\")\n 18→//\t│ ├─ Level (socket=\"0\")\n 19→//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n 20→//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n 21→//\t│ └─ Level (socket=\"1\")\n 22→//\t│ └─ ...\n 23→//\t└─ Level (host=\"node002\")\n 24→//\t └─ ...\n 25→//\n 26→// Each Level can:\n 27→// - Hold data (metrics slice of buffer pointers)\n 28→// - Have child nodes (children map[string]*Level)\n 29→// - Both simultaneously (inner nodes can store aggregated metrics)\n 30→//\n 31→// # Selector Paths\n 32→//\n 33→// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n 34→// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n 35→//\n 36→// # Concurrency\n 37→//\n 38→// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n 39→// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n 40→// prevents races during level creation.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"sync\"\n 45→\t\"time\"\n 46→\t\"unsafe\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 50→)\n 51→\n 52→// Level represents a node in the hierarchical metric storage tree.\n 53→//\n 54→// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n 55→// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n 56→// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n 57→//\n 58→// Fields:\n 59→// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n 60→// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n 61→// - lock: RWMutex for concurrent access (read-heavy, write-rare)\n 62→type Level struct {\n 63→\tchildren map[string]*Level\n 64→\tmetrics []*buffer\n 65→\tlock sync.RWMutex\n 66→}\n 67→\n 68→// findLevelOrCreate navigates to or creates the level specified by selector.\n 69→//\n 70→// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n 71→// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n 72→// re-check after acquiring Lock to handle races.\n 73→//\n 74→// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n 75→// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n 76→//\n 77→// Parameters:\n 78→// - selector: Hierarchical path (consumed recursively, decreasing depth)\n 79→// - nMetrics: Number of metric slots to allocate in new levels\n 80→//\n 81→// Returns:\n 82→// - *Level: The target level (existing or newly created)\n 83→//\n 84→// Note: sync.Map may improve performance for high-concurrency writes, but current\n 85→// approach suffices for read-heavy workload.\n 86→func (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n 87→\tif len(selector) == 0 {\n 88→\t\treturn l\n 89→\t}\n 90→\n 91→\t// Allow concurrent reads:\n 92→\tl.lock.RLock()\n 93→\tvar child *Level\n 94→\tvar ok bool\n 95→\tif l.children == nil {\n 96→\t\t// Children map needs to be created...\n 97→\t\tl.lock.RUnlock()\n 98→\t} else {\n 99→\t\tchild, ok = l.children[selector[0]]\n 100→\t\tl.lock.RUnlock()\n 101→\t\tif ok {\n 102→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 103→\t\t}\n 104→\t}\n 105→\n 106→\t// The level does not exist, take write lock for unique access:\n 107→\tl.lock.Lock()\n 108→\t// While this thread waited for the write lock, another thread\n 109→\t// could have created the child node.\n 110→\tif l.children != nil {\n 111→\t\tchild, ok = l.children[selector[0]]\n 112→\t\tif ok {\n 113→\t\t\tl.lock.Unlock()\n 114→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 115→\t\t}\n 116→\t}\n 117→\n 118→\tchild = &Level{\n 119→\t\tmetrics: make([]*buffer, nMetrics),\n 120→\t\tchildren: nil,\n 121→\t}\n 122→\n 123→\tif l.children != nil {\n 124→\t\tl.children[selector[0]] = child\n 125→\t} else {\n 126→\t\tl.children = map[string]*Level{selector[0]: child}\n 127→\t}\n 128→\tl.lock.Unlock()\n 129→\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 130→}\n 131→\n 132→// collectPaths gathers all selector paths at the specified depth in the tree.\n 133→//\n 134→// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n 135→// Each path is a selector that can be used with findLevel() or findBuffers().\n 136→//\n 137→// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n 138→// unintended mutations.\n 139→//\n 140→// Parameters:\n 141→// - currentDepth: Depth of current level (0 = root)\n 142→// - targetDepth: Depth to collect paths from\n 143→// - currentPath: Path accumulated so far\n 144→// - results: Output slice (appended to)\n 145→//\n 146→// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n 147→// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\n 148→func (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n 149→\tl.lock.RLock()\n 150→\tdefer l.lock.RUnlock()\n 151→\n 152→\tfor key, child := range l.children {\n 153→\t\tif child == nil {\n 154→\t\t\tcontinue\n 155→\t\t}\n 156→\n 157→\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n 158→\t\tnewPath := make([]string, len(currentPath))\n 159→\t\tcopy(newPath, currentPath)\n 160→\t\tnewPath = append(newPath, key)\n 161→\n 162→\t\t// Check depth, and just return if depth reached\n 163→\t\tif currentDepth+1 == targetDepth {\n 164→\t\t\t*results = append(*results, newPath)\n 165→\t\t} else {\n 166→\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n 167→\t\t}\n 168→\t}\n 169→}\n 170→\n 171→// free removes buffers older than the retention threshold from the entire subtree.\n 172→//\n 173→// Recursively frees buffers in this level's metrics and all child levels. Buffers\n 174→// with standard capacity (BufferCap) are returned to the pool. Called by the\n 175→// retention worker to enforce retention policies.\n 176→//\n 177→// Parameters:\n 178→// - t: Retention threshold timestamp (Unix seconds)\n 179→//\n 180→// Returns:\n 181→// - int: Total number of buffers freed in this subtree\n 182→// - error: Non-nil on failure (propagated from children)\n 183→func (l *Level) free(t int64) (int, error) {\n 184→\tl.lock.Lock()\n 185→\tdefer l.lock.Unlock()\n 186→\n 187→\tn := 0\n 188→\tfor i, b := range l.metrics {\n 189→\t\tif b != nil {\n 190→\t\t\tdelme, m := b.free(t)\n 191→\t\t\tn += m\n 192→\t\t\tif delme {\n 193→\t\t\t\tif cap(b.data) != BufferCap {\n 194→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 195→\t\t\t\t}\n 196→\t\t\t\tb.lastUsed = time.Now().Unix()\n 197→\t\t\t\tbufferPool.Put(b)\n 198→\t\t\t\tl.metrics[i] = nil\n 199→\t\t\t}\n 200→\t\t}\n 201→\t}\n 202→\n 203→\tfor _, l := range l.children {\n 204→\t\tm, err := l.free(t)\n 205→\t\tn += m\n 206→\t\tif err != nil {\n 207→\t\t\treturn n, err\n 208→\t\t}\n 209→\t}\n 210→\n 211→\treturn n, nil\n 212→}\n 213→\n 214→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 215→//\n 216→// Unlike free(), which removes based on time threshold, this unconditionally removes\n 217→// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n 218→// exceeded and time-based retention is insufficient.\n 219→//\n 220→// Recursively processes current level's metrics and all child levels.\n 221→//\n 222→// Returns:\n 223→// - int: Total number of buffers freed in this subtree\n 224→// - error: Non-nil on failure (propagated from children)\n 225→func (l *Level) forceFree() (int, error) {\n 226→\tl.lock.Lock()\n 227→\tdefer l.lock.Unlock()\n 228→\n 229→\tn := 0\n 230→\n 231→\t// Iterate over metrics in the current level\n 232→\tfor i, b := range l.metrics {\n 233→\t\tif b != nil {\n 234→\t\t\t// Attempt to free the oldest buffer in this chain\n 235→\t\t\tdelme, freedCount := b.forceFreeOldest()\n 236→\t\t\tn += freedCount\n 237→\n 238→\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n 239→\t\t\t// and needs to be removed from the slice.\n 240→\t\t\tif delme {\n 241→\t\t\t\tb.next = nil\n 242→\t\t\t\tb.prev = nil\n 243→\t\t\t\tif cap(b.data) != BufferCap {\n 244→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 245→\t\t\t\t}\n 246→\t\t\t\tb.lastUsed = time.Now().Unix()\n 247→\t\t\t\tbufferPool.Put(b)\n 248→\t\t\t\tl.metrics[i] = nil\n 249→\t\t\t}\n 250→\t\t}\n 251→\t}\n 252→\n 253→\t// Recursively traverse children\n 254→\tfor _, child := range l.children {\n 255→\t\tm, err := child.forceFree()\n 256→\t\tn += m\n 257→\t\tif err != nil {\n 258→\t\t\treturn n, err\n 259→\t\t}\n 260→\t}\n 261→\n 262→\treturn n, nil\n 263→}\n 264→\n 265→// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n 266→//\n 267→// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n 268→// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n 269→// memory cap limits.\n 270→//\n 271→// Returns:\n 272→// - int64: Total bytes used by buffer data in this subtree\n 273→func (l *Level) sizeInBytes() int64 {\n 274→\tl.lock.RLock()\n 275→\tdefer l.lock.RUnlock()\n 276→\tsize := int64(0)\n 277→\n 278→\tfor _, b := range l.metrics {\n 279→\t\tif b != nil {\n 280→\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n 281→\t\t}\n 282→\t}\n 283→\n 284→\tfor _, child := range l.children {\n 285→\t\tsize += child.sizeInBytes()\n 286→\t}\n 287→\n 288→\treturn size\n 289→}\n 290→\n 291→// findLevel navigates to the level specified by selector, returning nil if not found.\n 292→//\n 293→// Read-only variant of findLevelOrCreate. Does not create missing levels.\n 294→// Recursively descends the tree following the selector path.\n 295→//\n 296→// Parameters:\n 297→// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n 298→//\n 299→// Returns:\n 300→// - *Level: The target level, or nil if any component in the path does not exist\n 301→func (l *Level) findLevel(selector []string) *Level {\n 302→\tif len(selector) == 0 {\n 303→\t\treturn l\n 304→\t}\n 305→\n 306→\tl.lock.RLock()\n 307→\tdefer l.lock.RUnlock()\n 308→\n 309→\tlvl := l.children[selector[0]]\n 310→\tif lvl == nil {\n 311→\t\treturn nil\n 312→\t}\n 313→\n 314→\treturn lvl.findLevel(selector[1:])\n 315→}\n 316→\n 317→// findBuffers invokes callback on all buffers matching the selector pattern.\n 318→//\n 319→// Supports flexible selector patterns (from cc-lib/util.Selector):\n 320→// - Exact match: Selector element with String set (e.g., \"node001\")\n 321→// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n 322→// - Wildcard: Selector element with Any=true (matches all children)\n 323→//\n 324→// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n 325→// all descendant buffers at the same offset (used for aggregation queries).\n 326→//\n 327→// Parameters:\n 328→// - selector: Pattern to match (consumed recursively)\n 329→// - offset: Metric index in metrics slice (from MetricConfig.offset)\n 330→// - f: Callback invoked on each matching buffer\n 331→//\n 332→// Returns:\n 333→// - error: First error returned by callback, or nil if all succeeded\n 334→//\n 335→// Example:\n 336→//\n 337→//\t// Find all cpu0 buffers across all hosts:\n 338→//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\n 339→func (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n 340→\tl.lock.RLock()\n 341→\tdefer l.lock.RUnlock()\n 342→\n 343→\tif len(selector) == 0 {\n 344→\t\tb := l.metrics[offset]\n 345→\t\tif b != nil {\n 346→\t\t\treturn f(b)\n 347→\t\t}\n 348→\n 349→\t\tfor _, lvl := range l.children {\n 350→\t\t\terr := lvl.findBuffers(nil, offset, f)\n 351→\t\t\tif err != nil {\n 352→\t\t\t\treturn err\n 353→\t\t\t}\n 354→\t\t}\n 355→\t\treturn nil\n 356→\t}\n 357→\n 358→\tsel := selector[0]\n 359→\tif len(sel.String) != 0 && l.children != nil {\n 360→\t\tlvl, ok := l.children[sel.String]\n 361→\t\tif ok {\n 362→\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 363→\t\t\tif err != nil {\n 364→\t\t\t\treturn err\n 365→\t\t\t}\n 366→\t\t}\n 367→\t\treturn nil\n 368→\t}\n 369→\n 370→\tif sel.Group != nil && l.children != nil {\n 371→\t\tfor _, key := range sel.Group {\n 372→\t\t\tlvl, ok := l.children[key]\n 373→\t\t\tif ok {\n 374→\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 375→\t\t\t\tif err != nil {\n 376→\t\t\t\t\treturn err\n 377→\t\t\t\t}\n 378→\t\t\t}\n 379→\t\t}\n 380→\t\treturn nil\n 381→\t}\n 382→\n 383→\tif sel.Any && l.children != nil {\n 384→\t\tfor _, lvl := range l.children {\n 385→\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n 386→\t\t\t\treturn err\n 387→\t\t\t}\n 388→\t\t}\n 389→\t\treturn nil\n 390→\t}\n 391→\n 392→\treturn nil\n 393→}\n 394→"}]},"uuid":"0a4e3ab3-23c6-401d-8326-064ff842407b","timestamp":"2026-03-13T06:51:39.714Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","numLines":394,"startLine":1,"totalLines":394}},"sourceToolAssistantUUID":"c9c1e733-70ea-45bf-8b1c-0af084380e92","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0a4e3ab3-23c6-401d-8326-064ff842407b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01FjH14n4qJUyKjPEZ5EwA9e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N58SqTvoihL8LCJnL8EAKP","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4536,"cache_read_input_tokens":14327,"output_tokens":374,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4536,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdsXrmXTNVHFwPnWdu9","type":"assistant","uuid":"46ca9b63-5718-455b-abef-764e1ad29322","timestamp":"2026-03-13T06:51:39.738Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"46ca9b63-5718-455b-abef-764e1ad29322","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01N58SqTvoihL8LCJnL8EAKP","toolUseID":"toolu_01N58SqTvoihL8LCJnL8EAKP","timestamp":"2026-03-13T06:51:39.743Z","uuid":"83bedfe3-dc88-4705-bb59-9d7516cca22e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"46ca9b63-5718-455b-abef-764e1ad29322","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N58SqTvoihL8LCJnL8EAKP","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides buffer.go: Time-series data buffer implementation.\n 7→//\n 8→// # Buffer Architecture\n 9→//\n 10→// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n 11→// chain of fixed-size buffers to store time-series data. This design:\n 12→//\n 13→// - Avoids reallocation/copying when growing (new links added instead)\n 14→// - Enables efficient pooling (buffers returned to sync.Pool)\n 15→// - Supports traversal back in time (via prev pointers)\n 16→// - Maintains temporal ordering (newer data in later buffers)\n 17→//\n 18→// # Buffer Chain Example\n 19→//\n 20→//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n 21→//\t start=1000 start=1512 start=2024\n 22→//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n 23→//\n 24→// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n 25→// the new head and the old head is linked via prev.\n 26→//\n 27→// # Pooling Strategy\n 28→//\n 29→// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n 30→// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n 31→//\n 32→// # Time Alignment\n 33→//\n 34→// Timestamps are aligned to measurement frequency intervals:\n 35→//\n 36→//\tindex = (timestamp - buffer.start) / buffer.frequency\n 37→//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n 38→//\n 39→// Missing data points are represented as NaN values. The read() function performs\n 40→// linear interpolation where possible.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"errors\"\n 45→\t\"sync\"\n 46→\t\"time\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→)\n 50→\n 51→// BufferCap is the default buffer capacity.\n 52→// buffer.data will only ever grow up to its capacity and a new link\n 53→// in the buffer chain will be created if needed so that no copying\n 54→// of data or reallocation needs to happen on writes.\n 55→const BufferCap int = DefaultBufferCapacity\n 56→\n 57→// BufferPool is the global instance.\n 58→// It is initialized immediately when the package loads.\n 59→var bufferPool = NewPersistentBufferPool()\n 60→\n 61→type PersistentBufferPool struct {\n 62→\tpool []*buffer\n 63→\tmu sync.Mutex\n 64→}\n 65→\n 66→// NewPersistentBufferPool creates a dynamic pool for buffers.\n 67→func NewPersistentBufferPool() *PersistentBufferPool {\n 68→\treturn &PersistentBufferPool{\n 69→\t\tpool: make([]*buffer, 0),\n 70→\t}\n 71→}\n 72→\n 73→func (p *PersistentBufferPool) Get() *buffer {\n 74→\tp.mu.Lock()\n 75→\tdefer p.mu.Unlock()\n 76→\n 77→\tn := len(p.pool)\n 78→\tif n == 0 {\n 79→\t\t// Pool is empty, allocate a new one\n 80→\t\treturn &buffer{\n 81→\t\t\tdata: make([]schema.Float, 0, BufferCap),\n 82→\t\t}\n 83→\t}\n 84→\n 85→\t// Reuse existing buffer from the pool\n 86→\tb := p.pool[n-1]\n 87→\tp.pool[n-1] = nil // Avoid memory leak\n 88→\tp.pool = p.pool[:n-1]\n 89→\treturn b\n 90→}\n 91→\n 92→// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n 93→// before calling Put so that Clean() can evict idle entries correctly.\n 94→func (p *PersistentBufferPool) Put(b *buffer) {\n 95→\t// Reset the buffer before putting it back\n 96→\tb.data = b.data[:0]\n 97→\n 98→\tp.mu.Lock()\n 99→\tdefer p.mu.Unlock()\n 100→\n 101→\tp.pool = append(p.pool, b)\n 102→}\n 103→\n 104→// GetSize returns the exact number of buffers currently sitting in the pool.\n 105→func (p *PersistentBufferPool) GetSize() int {\n 106→\tp.mu.Lock()\n 107→\tdefer p.mu.Unlock()\n 108→\treturn len(p.pool)\n 109→}\n 110→\n 111→// Clear drains all buffers currently in the pool, allowing the GC to collect them.\n 112→func (p *PersistentBufferPool) Clear() {\n 113→\tp.mu.Lock()\n 114→\tdefer p.mu.Unlock()\n 115→\tfor i := range p.pool {\n 116→\t\tp.pool[i] = nil\n 117→\t}\n 118→\tp.pool = p.pool[:0]\n 119→}\n 120→\n 121→// Clean removes buffers from the pool that haven't been used in the given duration.\n 122→// It uses a simple LRU approach based on the lastUsed timestamp.\n 123→func (p *PersistentBufferPool) Clean(threshold int64) {\n 124→\tp.mu.Lock()\n 125→\tdefer p.mu.Unlock()\n 126→\n 127→\t// Filter in place, retaining only buffers returned to the pool recently enough.\n 128→\tactive := p.pool[:0]\n 129→\tfor _, b := range p.pool {\n 130→\t\tif b.lastUsed >= threshold {\n 131→\t\t\tactive = append(active, b)\n 132→\t\t}\n 133→\t}\n 134→\n 135→\t// Nullify the rest to prevent memory leaks\n 136→\tfor i := len(active); i < len(p.pool); i++ {\n 137→\t\tp.pool[i] = nil\n 138→\t}\n 139→\n 140→\tp.pool = active\n 141→}\n 142→\n 143→var (\n 144→\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n 145→\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n 146→\n 147→\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n 148→\t// does not align with the parent scope's expected timestamps/intervals.\n 149→\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n 150→)\n 151→\n 152→// buffer stores time-series data for a single metric at a specific hierarchical level.\n 153→//\n 154→// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n 155→// a new buffer becomes the head and the old head is linked via prev/next.\n 156→//\n 157→// Fields:\n 158→// - prev: Link to older buffer in the chain (nil if this is oldest)\n 159→// - next: Link to newer buffer in the chain (nil if this is newest/head)\n 160→// - data: Time-series values (schema.Float supports NaN for missing data)\n 161→// - frequency: Measurement interval in seconds\n 162→// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n 163→// - archived: True if data has been persisted to disk archive\n 164→// - closed: True if buffer is no longer accepting writes\n 165→//\n 166→// Index calculation: index = (timestamp - start) / frequency\n 167→// Actual data timestamp: start + (frequency / 2) + (index * frequency)\n 168→type buffer struct {\n 169→\tprev *buffer\n 170→\tnext *buffer\n 171→\tdata []schema.Float\n 172→\tfrequency int64\n 173→\tstart int64\n 174→\tarchived bool\n 175→\tclosed bool\n 176→\tlastUsed int64\n 177→}\n 178→\n 179→func newBuffer(ts, freq int64) *buffer {\n 180→\tb := bufferPool.Get()\n 181→\tb.frequency = freq\n 182→\tb.start = ts - (freq / 2)\n 183→\tb.prev = nil\n 184→\tb.next = nil\n 185→\tb.archived = false\n 186→\tb.closed = false\n 187→\tb.data = b.data[:0]\n 188→\treturn b\n 189→}\n 190→\n 191→// write appends a timestamped value to the buffer chain.\n 192→//\n 193→// Returns the head buffer (which may be newly created if capacity was reached).\n 194→// Timestamps older than the buffer's start are rejected. If the calculated index\n 195→// exceeds capacity, a new buffer is allocated and linked as the new head.\n 196→//\n 197→// Missing timestamps are automatically filled with NaN values to maintain alignment.\n 198→// Overwrites are allowed if the index is already within the existing data slice.\n 199→//\n 200→// Parameters:\n 201→// - ts: Unix timestamp in seconds\n 202→// - value: Metric value (can be schema.NaN for missing data)\n 203→//\n 204→// Returns:\n 205→// - *buffer: The new head buffer (same as b if no new buffer created)\n 206→// - error: Non-nil if timestamp is before buffer start\n 207→func (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n 208→\tif ts < b.start {\n 209→\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n 210→\t}\n 211→\n 212→\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n 213→\tidx := int((ts - b.start) / b.frequency)\n 214→\tif idx >= cap(b.data) {\n 215→\t\tnewbuf := newBuffer(ts, b.frequency)\n 216→\t\tnewbuf.prev = b\n 217→\t\tb.next = newbuf\n 218→\t\tb = newbuf\n 219→\t\tidx = 0\n 220→\t}\n 221→\n 222→\t// Overwriting value or writing value from past\n 223→\tif idx < len(b.data) {\n 224→\t\tb.data[idx] = value\n 225→\t\treturn b, nil\n 226→\t}\n 227→\n 228→\t// Fill up unwritten slots with NaN\n 229→\tfor i := len(b.data); i < idx; i++ {\n 230→\t\tb.data = append(b.data, schema.NaN)\n 231→\t}\n 232→\n 233→\tb.data = append(b.data, value)\n 234→\treturn b, nil\n 235→}\n 236→\n 237→func (b *buffer) end() int64 {\n 238→\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n 239→}\n 240→\n 241→func (b *buffer) firstWrite() int64 {\n 242→\treturn b.start + (b.frequency / 2)\n 243→}\n 244→\n 245→// read retrieves time-series data from the buffer chain for the specified time range.\n 246→//\n 247→// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n 248→// buffer's start. Missing data points are represented as NaN. Values are accumulated\n 249→// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n 250→//\n 251→// The function adjusts the actual time range returned if data is unavailable at the\n 252→// boundaries (returned via adjusted from/to timestamps).\n 253→//\n 254→// Parameters:\n 255→// - from: Start timestamp (Unix seconds)\n 256→// - to: End timestamp (Unix seconds, exclusive)\n 257→// - data: Pre-allocated slice to accumulate results (must be large enough)\n 258→//\n 259→// Returns:\n 260→// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n 261→// - int64: Actual start timestamp with available data\n 262→// - int64: Actual end timestamp (exclusive)\n 263→// - error: Non-nil on failure\n 264→//\n 265→// Panics if 'data' slice is too small to hold all values in [from, to).\n 266→func (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n 267→\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n 268→\tfor from < b.firstWrite() {\n 269→\t\tif b.prev == nil {\n 270→\t\t\tfrom = b.firstWrite()\n 271→\t\t\tbreak\n 272→\t\t}\n 273→\t\tb = b.prev\n 274→\t}\n 275→\n 276→\ti := 0\n 277→\tt := from\n 278→\tfor ; t < to; t += b.frequency {\n 279→\t\tidx := int((t - b.start) / b.frequency)\n 280→\t\tif idx >= cap(b.data) {\n 281→\t\t\tif b.next == nil {\n 282→\t\t\t\tbreak\n 283→\t\t\t}\n 284→\t\t\tb = b.next\n 285→\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n 286→\t\t\tidx = int((t - b.start) / b.frequency)\n 287→\t\t}\n 288→\n 289→\t\tif idx >= len(b.data) {\n 290→\t\t\tif b.next == nil || to <= b.next.start {\n 291→\t\t\t\tbreak\n 292→\t\t\t}\n 293→\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n 294→\t\t} else if t < b.start {\n 295→\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n 296→\t\t} else {\n 297→\t\t\tdata[i] += b.data[idx]\n 298→\t\t}\n 299→\t\ti++\n 300→\t}\n 301→\n 302→\treturn data[:i], from, t, nil\n 303→}\n 304→\n 305→// free removes buffers older than the specified timestamp from the chain.\n 306→//\n 307→// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n 308→// is before the retention threshold. Freed buffers are returned to the pool if\n 309→// they have the standard capacity (BufferCap).\n 310→//\n 311→// Parameters:\n 312→// - t: Retention threshold timestamp (Unix seconds)\n 313→//\n 314→// Returns:\n 315→// - delme: True if the current buffer itself should be deleted by caller\n 316→// - n: Number of buffers freed in this subtree\n 317→func (b *buffer) free(t int64) (delme bool, n int) {\n 318→\tif b.prev != nil {\n 319→\t\tdelme, m := b.prev.free(t)\n 320→\t\tn += m\n 321→\t\tif delme {\n 322→\t\t\tb.prev.next = nil\n 323→\t\t\tif cap(b.prev.data) != BufferCap {\n 324→\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n 325→\t\t\t}\n 326→\t\t\tb.prev.lastUsed = time.Now().Unix()\n 327→\t\t\tbufferPool.Put(b.prev)\n 328→\t\t\tb.prev = nil\n 329→\t\t}\n 330→\t}\n 331→\n 332→\tend := b.end()\n 333→\tif end < t {\n 334→\t\treturn true, n + 1\n 335→\t}\n 336→\n 337→\treturn false, n\n 338→}\n 339→\n 340→// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n 341→// and removes it.\n 342→// Returns:\n 343→//\n 344→//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n 345→//\tn: the number of buffers freed (will be 1 or 0)\n 346→func (b *buffer) forceFreeOldest() (delme bool, n int) {\n 347→\t// If there is a previous buffer, recurse down to find the oldest\n 348→\tif b.prev != nil {\n 349→\t\tdelPrev, freed := b.prev.forceFreeOldest()\n 350→\n 351→\t\t// If the previous buffer signals it should be deleted:\n 352→\t\tif delPrev {\n 353→\t\t\tb.prev.next = nil\n 354→\t\t\tif cap(b.prev.data) != BufferCap {\n 355→\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n 356→\t\t\t}\n 357→\t\t\tb.prev.lastUsed = time.Now().Unix()\n 358→\t\t\tbufferPool.Put(b.prev)\n 359→\t\t\tb.prev = nil\n 360→\t\t}\n 361→\t\treturn false, freed\n 362→\t}\n 363→\n 364→\t// If b.prev is nil, THIS buffer is the oldest.\n 365→\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n 366→\treturn true, 1\n 367→}\n 368→\n 369→// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n 370→//\n 371→// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n 372→// the time range. Used for checkpoint/archive operations that need to serialize buffers\n 373→// within a specific time window.\n 374→//\n 375→// Parameters:\n 376→// - from: Start timestamp (Unix seconds, inclusive)\n 377→// - to: End timestamp (Unix seconds, inclusive)\n 378→// - callback: Function to invoke on each overlapping buffer\n 379→//\n 380→// Returns:\n 381→// - error: First error returned by callback, or nil if all succeeded\n 382→func (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n 383→\tif b == nil {\n 384→\t\treturn nil\n 385→\t}\n 386→\n 387→\t// Collect overlapping buffers walking backwards (newest → oldest).\n 388→\tvar matching []*buffer\n 389→\tfor cur := b; cur != nil; cur = cur.prev {\n 390→\t\tif from <= cur.end() && cur.start <= to {\n 391→\t\t\tmatching = append(matching, cur)\n 392→\t\t}\n 393→\t}\n 394→\n 395→\t// Invoke callback in chronological order (oldest → newest).\n 396→\tfor i := len(matching) - 1; i >= 0; i-- {\n 397→\t\tif err := callback(matching[i]); err != nil {\n 398→\t\t\treturn err\n 399→\t\t}\n 400→\t}\n 401→\treturn nil\n 402→}\n 403→\n 404→func (b *buffer) count() int64 {\n 405→\tvar res int64\n 406→\tfor ; b != nil; b = b.prev {\n 407→\t\tres += int64(len(b.data))\n 408→\t}\n 409→\treturn res\n 410→}\n 411→"}]},"uuid":"18dc95ba-de37-443a-a757-088fe0bc79b2","timestamp":"2026-03-13T06:51:39.743Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides buffer.go: Time-series data buffer implementation.\n//\n// # Buffer Architecture\n//\n// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n// chain of fixed-size buffers to store time-series data. This design:\n//\n// - Avoids reallocation/copying when growing (new links added instead)\n// - Enables efficient pooling (buffers returned to sync.Pool)\n// - Supports traversal back in time (via prev pointers)\n// - Maintains temporal ordering (newer data in later buffers)\n//\n// # Buffer Chain Example\n//\n//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n//\t start=1000 start=1512 start=2024\n//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n//\n// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n// the new head and the old head is linked via prev.\n//\n// # Pooling Strategy\n//\n// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n//\n// # Time Alignment\n//\n// Timestamps are aligned to measurement frequency intervals:\n//\n//\tindex = (timestamp - buffer.start) / buffer.frequency\n//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n//\n// Missing data points are represented as NaN values. The read() function performs\n// linear interpolation where possible.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// BufferCap is the default buffer capacity.\n// buffer.data will only ever grow up to its capacity and a new link\n// in the buffer chain will be created if needed so that no copying\n// of data or reallocation needs to happen on writes.\nconst BufferCap int = DefaultBufferCapacity\n\n// BufferPool is the global instance.\n// It is initialized immediately when the package loads.\nvar bufferPool = NewPersistentBufferPool()\n\ntype PersistentBufferPool struct {\n\tpool []*buffer\n\tmu sync.Mutex\n}\n\n// NewPersistentBufferPool creates a dynamic pool for buffers.\nfunc NewPersistentBufferPool() *PersistentBufferPool {\n\treturn &PersistentBufferPool{\n\t\tpool: make([]*buffer, 0),\n\t}\n}\n\nfunc (p *PersistentBufferPool) Get() *buffer {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tn := len(p.pool)\n\tif n == 0 {\n\t\t// Pool is empty, allocate a new one\n\t\treturn &buffer{\n\t\t\tdata: make([]schema.Float, 0, BufferCap),\n\t\t}\n\t}\n\n\t// Reuse existing buffer from the pool\n\tb := p.pool[n-1]\n\tp.pool[n-1] = nil // Avoid memory leak\n\tp.pool = p.pool[:n-1]\n\treturn b\n}\n\n// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n// before calling Put so that Clean() can evict idle entries correctly.\nfunc (p *PersistentBufferPool) Put(b *buffer) {\n\t// Reset the buffer before putting it back\n\tb.data = b.data[:0]\n\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tp.pool = append(p.pool, b)\n}\n\n// GetSize returns the exact number of buffers currently sitting in the pool.\nfunc (p *PersistentBufferPool) GetSize() int {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\treturn len(p.pool)\n}\n\n// Clear drains all buffers currently in the pool, allowing the GC to collect them.\nfunc (p *PersistentBufferPool) Clear() {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\tfor i := range p.pool {\n\t\tp.pool[i] = nil\n\t}\n\tp.pool = p.pool[:0]\n}\n\n// Clean removes buffers from the pool that haven't been used in the given duration.\n// It uses a simple LRU approach based on the lastUsed timestamp.\nfunc (p *PersistentBufferPool) Clean(threshold int64) {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\t// Filter in place, retaining only buffers returned to the pool recently enough.\n\tactive := p.pool[:0]\n\tfor _, b := range p.pool {\n\t\tif b.lastUsed >= threshold {\n\t\t\tactive = append(active, b)\n\t\t}\n\t}\n\n\t// Nullify the rest to prevent memory leaks\n\tfor i := len(active); i < len(p.pool); i++ {\n\t\tp.pool[i] = nil\n\t}\n\n\tp.pool = active\n}\n\nvar (\n\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n\n\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n\t// does not align with the parent scope's expected timestamps/intervals.\n\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n)\n\n// buffer stores time-series data for a single metric at a specific hierarchical level.\n//\n// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n// a new buffer becomes the head and the old head is linked via prev/next.\n//\n// Fields:\n// - prev: Link to older buffer in the chain (nil if this is oldest)\n// - next: Link to newer buffer in the chain (nil if this is newest/head)\n// - data: Time-series values (schema.Float supports NaN for missing data)\n// - frequency: Measurement interval in seconds\n// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n// - archived: True if data has been persisted to disk archive\n// - closed: True if buffer is no longer accepting writes\n//\n// Index calculation: index = (timestamp - start) / frequency\n// Actual data timestamp: start + (frequency / 2) + (index * frequency)\ntype buffer struct {\n\tprev *buffer\n\tnext *buffer\n\tdata []schema.Float\n\tfrequency int64\n\tstart int64\n\tarchived bool\n\tclosed bool\n\tlastUsed int64\n}\n\nfunc newBuffer(ts, freq int64) *buffer {\n\tb := bufferPool.Get()\n\tb.frequency = freq\n\tb.start = ts - (freq / 2)\n\tb.prev = nil\n\tb.next = nil\n\tb.archived = false\n\tb.closed = false\n\tb.data = b.data[:0]\n\treturn b\n}\n\n// write appends a timestamped value to the buffer chain.\n//\n// Returns the head buffer (which may be newly created if capacity was reached).\n// Timestamps older than the buffer's start are rejected. If the calculated index\n// exceeds capacity, a new buffer is allocated and linked as the new head.\n//\n// Missing timestamps are automatically filled with NaN values to maintain alignment.\n// Overwrites are allowed if the index is already within the existing data slice.\n//\n// Parameters:\n// - ts: Unix timestamp in seconds\n// - value: Metric value (can be schema.NaN for missing data)\n//\n// Returns:\n// - *buffer: The new head buffer (same as b if no new buffer created)\n// - error: Non-nil if timestamp is before buffer start\nfunc (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n\tif ts < b.start {\n\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n\t}\n\n\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n\tidx := int((ts - b.start) / b.frequency)\n\tif idx >= cap(b.data) {\n\t\tnewbuf := newBuffer(ts, b.frequency)\n\t\tnewbuf.prev = b\n\t\tb.next = newbuf\n\t\tb = newbuf\n\t\tidx = 0\n\t}\n\n\t// Overwriting value or writing value from past\n\tif idx < len(b.data) {\n\t\tb.data[idx] = value\n\t\treturn b, nil\n\t}\n\n\t// Fill up unwritten slots with NaN\n\tfor i := len(b.data); i < idx; i++ {\n\t\tb.data = append(b.data, schema.NaN)\n\t}\n\n\tb.data = append(b.data, value)\n\treturn b, nil\n}\n\nfunc (b *buffer) end() int64 {\n\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n}\n\nfunc (b *buffer) firstWrite() int64 {\n\treturn b.start + (b.frequency / 2)\n}\n\n// read retrieves time-series data from the buffer chain for the specified time range.\n//\n// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n// buffer's start. Missing data points are represented as NaN. Values are accumulated\n// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n//\n// The function adjusts the actual time range returned if data is unavailable at the\n// boundaries (returned via adjusted from/to timestamps).\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds)\n// - to: End timestamp (Unix seconds, exclusive)\n// - data: Pre-allocated slice to accumulate results (must be large enough)\n//\n// Returns:\n// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n// - int64: Actual start timestamp with available data\n// - int64: Actual end timestamp (exclusive)\n// - error: Non-nil on failure\n//\n// Panics if 'data' slice is too small to hold all values in [from, to).\nfunc (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n\tfor from < b.firstWrite() {\n\t\tif b.prev == nil {\n\t\t\tfrom = b.firstWrite()\n\t\t\tbreak\n\t\t}\n\t\tb = b.prev\n\t}\n\n\ti := 0\n\tt := from\n\tfor ; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tif b.next == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tb = b.next\n\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n\t\t\tidx = int((t - b.start) / b.frequency)\n\t\t}\n\n\t\tif idx >= len(b.data) {\n\t\t\tif b.next == nil || to <= b.next.start {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n\t\t} else if t < b.start {\n\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n\t\t} else {\n\t\t\tdata[i] += b.data[idx]\n\t\t}\n\t\ti++\n\t}\n\n\treturn data[:i], from, t, nil\n}\n\n// free removes buffers older than the specified timestamp from the chain.\n//\n// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n// is before the retention threshold. Freed buffers are returned to the pool if\n// they have the standard capacity (BufferCap).\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - delme: True if the current buffer itself should be deleted by caller\n// - n: Number of buffers freed in this subtree\nfunc (b *buffer) free(t int64) (delme bool, n int) {\n\tif b.prev != nil {\n\t\tdelme, m := b.prev.free(t)\n\t\tn += m\n\t\tif delme {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t}\n\n\tend := b.end()\n\tif end < t {\n\t\treturn true, n + 1\n\t}\n\n\treturn false, n\n}\n\n// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n// and removes it.\n// Returns:\n//\n//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n//\tn: the number of buffers freed (will be 1 or 0)\nfunc (b *buffer) forceFreeOldest() (delme bool, n int) {\n\t// If there is a previous buffer, recurse down to find the oldest\n\tif b.prev != nil {\n\t\tdelPrev, freed := b.prev.forceFreeOldest()\n\n\t\t// If the previous buffer signals it should be deleted:\n\t\tif delPrev {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t\treturn false, freed\n\t}\n\n\t// If b.prev is nil, THIS buffer is the oldest.\n\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n\treturn true, 1\n}\n\n// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n//\n// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n// the time range. Used for checkpoint/archive operations that need to serialize buffers\n// within a specific time window.\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds, inclusive)\n// - to: End timestamp (Unix seconds, inclusive)\n// - callback: Function to invoke on each overlapping buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\nfunc (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n\tif b == nil {\n\t\treturn nil\n\t}\n\n\t// Collect overlapping buffers walking backwards (newest → oldest).\n\tvar matching []*buffer\n\tfor cur := b; cur != nil; cur = cur.prev {\n\t\tif from <= cur.end() && cur.start <= to {\n\t\t\tmatching = append(matching, cur)\n\t\t}\n\t}\n\n\t// Invoke callback in chronological order (oldest → newest).\n\tfor i := len(matching) - 1; i >= 0; i-- {\n\t\tif err := callback(matching[i]); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n\nfunc (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n","numLines":411,"startLine":1,"totalLines":411}},"sourceToolAssistantUUID":"46ca9b63-5718-455b-abef-764e1ad29322","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"18dc95ba-de37-443a-a757-088fe0bc79b2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EtIECkYICxgCKkBbIugfRk82Ji2rXc1Y/SDm+2t0GrkIRQ0RVtv85EZMO77m3Vcl8Ixaw3C056eKQahC2Nq7jrGyeX8MBUJ+HLXyEgw9iZjWMIP/NK4trdMaDCXxWZRiuaHY0pFIwyIwnwv/BTi65/gdcoIG/Gsvt/VHBNtXir93MaIF/srGH3kqnFf4tZd6iabMP/kBsFcqKrkDkgySy2IkQR8XgjOXaVm0x5dYKXtirvQuX2y/6LnCvD2rqroehGlgaTyYnWvTm25SVpeDuC5Y/20stKGJMD7pHt25VENwed4id6UQ6KSXwXiGAq2oUHk/WrdvOVuYe7iPD6pqR82IxGiJUDK5OySbsAzSe1h6WgKBXXqpauGEt3tM3TKc1SVEG4qErKScSJa3TiaArWazOKLr8uhDOEG+hrWYZA+nr1c5XKdWc/3M7cHAkB15vVeeYafnO++OElnp++eLns4A7+zkzbSWRSw3gsQsOho3RvSJI6c01fjujWfBplqk0OJ+qUgAaOO5kbpNCP9wo5C8nyi2F/QtcOncil5qaSTSCMUu2xOkZzdgeJF+YB8UFeLdhTzBKnWEPZ3+sXDnzZATDM6HJrdiK+CNuIo7RgMuQ/IQcNyf+GkIww/n7jlj6yJ5iZkrfSFb6TGhN6WgMMIcs+nOMO9o+JM6jfSoVfqYqyB3Ea8XwxNPTuZ5QVRaKHitf01T7liJx3pdf94wkNJbiYkUkn8QMRfWcWaa+9I0ssfN2DzPjcY5bEa1U6gcNn3J37qejKrATQVRBVOX2BeFViS9GAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":29856},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"358f7334-4be3-4578-ab6d-e87436f37252","timestamp":"2026-03-13T06:51:45.286Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"358f7334-4be3-4578-ab6d-e87436f37252","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Let me implement all changes.\n\n**1. config.go** — Reduce default check interval:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":29856},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"0e70ce4f-102d-4699-a3e6-68fd7b42d564","timestamp":"2026-03-13T06:51:46.333Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0e70ce4f-102d-4699-a3e6-68fd7b42d564","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SPvdEB3DuNQDzJANeyLxce","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y2exy2HB2xhtYzUeS8snhk","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","old_string":"\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour","new_string":"\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":29856,"cache_read_input_tokens":18863,"output_tokens":325,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":29856,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdstcC37o6QN2EdSRSM","type":"assistant","uuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","timestamp":"2026-03-13T06:51:47.879Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"0998dbf5-feda-4d6e-89d1-49a9d9718560","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} +{"parentUuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Y2exy2HB2xhtYzUeS8snhk","toolUseID":"toolu_01Y2exy2HB2xhtYzUeS8snhk","timestamp":"2026-03-13T06:51:47.910Z","uuid":"49d291be-cc2e-44d9-95bf-3f9ec37ed042","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0998dbf5-feda-4d6e-89d1-49a9d9718560","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y2exy2HB2xhtYzUeS8snhk","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go has been updated successfully."}]},"uuid":"32a3bfab-34fb-47ee-8c3e-22d5f66b37ea","timestamp":"2026-03-13T06:51:47.910Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","oldString":"\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour","newString":"\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","structuredPatch":[{"oldStart":53,"oldLines":7,"newStart":53,"newLines":7,"lines":[" DefaultMaxWorkers = 10"," DefaultBufferCapacity = 512"," DefaultGCTriggerInterval = 100","- DefaultMemoryUsageTrackerInterval = 1 * time.Hour","+ DefaultMemoryUsageTrackerInterval = 5 * time.Minute"," )"," "," // Checkpoints configures periodic persistence of in-memory metric data."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0998dbf5-feda-4d6e-89d1-49a9d9718560","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"32a3bfab-34fb-47ee-8c3e-22d5f66b37ea","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011ZpSxb6CJcVPoagpKCVor9","type":"message","role":"assistant","content":[{"type":"text","text":"**2. lineprotocol.go** — Don't abort batch on write error, log and continue:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":385,"cache_read_input_tokens":48719,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":385},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdtVasKXU93W3PzvQUT","type":"assistant","uuid":"1a4fd16a-9ccc-4d82-a664-3ded0773f846","timestamp":"2026-03-13T06:51:49.837Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1a4fd16a-9ccc-4d82-a664-3ded0773f846","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011ZpSxb6CJcVPoagpKCVor9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","old_string":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}","new_string":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":385,"cache_read_input_tokens":48719,"output_tokens":257,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":385,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdtVasKXU93W3PzvQUT","type":"assistant","uuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","timestamp":"2026-03-13T06:51:52.782Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"df4037d3-6a82-4eea-9bae-efbec8eacebe","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-13T06:51:52.789Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} +{"parentUuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","toolUseID":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","timestamp":"2026-03-13T06:51:52.791Z","uuid":"d415e976-d130-4af7-855e-8760012bba7e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"df4037d3-6a82-4eea-9bae-efbec8eacebe","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XtGxm1D2Z6qCmNjFbHGJqg","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go has been updated successfully."}]},"uuid":"d0078cd1-b417-4f5b-85b4-0c8f52a0b28e","timestamp":"2026-03-13T06:51:52.791Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/lineprotocol.go","oldString":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}","newString":"\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n\t\t\tcontinue\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements ingestion of InfluxDB line-protocol metric data received\n// over NATS. Each line encodes one metric sample with the following structure:\n//\n//\t[,cluster=][,hostname=][,type=][,type-id=][,subtype=][,stype-id=] value= []\n//\n// The measurement name identifies the metric (e.g. \"cpu_load\"). Tags provide\n// routing information (cluster, host) and optional sub-device selectors (type,\n// subtype). Only one field is expected per line: \"value\".\n//\n// After decoding, each sample is:\n// 1. Written to the in-memory store via ms.WriteToLevel.\n// 2. If the checkpoint format is \"wal\", also forwarded to the WAL staging\n// goroutine via the WALMessages channel for durable write-ahead logging.\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// ReceiveNats subscribes to all configured NATS subjects and feeds incoming\n// line-protocol messages into the MemoryStore.\n//\n// When workers > 1 a pool of goroutines drains a shared channel so that\n// multiple messages can be decoded in parallel. With workers == 1 the NATS\n// callback decodes inline (no channel overhead, lower latency).\n//\n// The function blocks until ctx is cancelled and all worker goroutines have\n// finished. It returns nil when the NATS client is not configured; callers\n// should treat that as a no-op rather than an error.\nfunc ReceiveNats(ms *MemoryStore,\n\tworkers int,\n\tctx context.Context,\n) error {\n\tnc := nats.GetClient()\n\n\tif nc == nil {\n\t\tcclog.Warn(\"NATS client not initialized\")\n\t\treturn nil\n\t}\n\n\tvar wg sync.WaitGroup\n\tmsgs := make(chan []byte, workers*2)\n\n\tfor _, sc := range *Keys.Subscriptions {\n\t\tclusterTag := sc.ClusterTag\n\t\tif workers > 1 {\n\t\t\twg.Add(workers)\n\n\t\t\tfor range workers {\n\t\t\t\tgo func() {\n\t\t\t\t\tdefer wg.Done()\n\t\t\t\t\tfor m := range msgs {\n\t\t\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(m)\n\t\t\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}()\n\t\t\t}\n\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tselect {\n\t\t\t\tcase msgs <- data:\n\t\t\t\tcase <-ctx.Done():\n\t\t\t\t}\n\t\t\t})\n\t\t} else {\n\t\t\tnc.Subscribe(sc.SubscribeTo, func(subject string, data []byte) {\n\t\t\t\tdec := lineprotocol.NewDecoderWithBytes(data)\n\t\t\t\tif err := DecodeLine(dec, ms, clusterTag); err != nil {\n\t\t\t\t\tcclog.Errorf(\"error: %s\", err.Error())\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\t\tcclog.Infof(\"NATS subscription to '%s' established\", sc.SubscribeTo)\n\t}\n\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tclose(msgs)\n\t}()\n\n\twg.Wait()\n\n\treturn nil\n}\n\n// reorder prepends prefix to buf in-place when buf has enough spare capacity,\n// avoiding an allocation. Falls back to a regular append otherwise.\n//\n// It is used to assemble the \"type\" and \"subtype\" selector\n// strings when the type tag arrives before the type-id tag in the line, so the\n// two byte slices need to be concatenated in tag-declaration order regardless\n// of wire order.\nfunc reorder(buf, prefix []byte) []byte {\n\tn := len(prefix)\n\tm := len(buf)\n\tif cap(buf) < m+n {\n\t\treturn append(prefix[:n:n], buf...)\n\t} else {\n\t\tbuf = buf[:n+m]\n\t\tfor i := m - 1; i >= 0; i-- {\n\t\t\tbuf[i+n] = buf[i]\n\t\t}\n\t\tfor i := range n {\n\t\t\tbuf[i] = prefix[i]\n\t\t}\n\t\treturn buf\n\t}\n}\n\n// decodeState holds the per-call scratch buffers used by DecodeLine.\n// Instances are recycled via decodeStatePool to avoid repeated allocations\n// during high-throughput ingestion.\ntype decodeState struct {\n\t// metricBuf holds a copy of the current measurement name (line-protocol\n\t// measurement field). Copied because dec.Measurement() returns a slice\n\t// that is invalidated by the next decoder call.\n\tmetricBuf []byte\n\n\t// selector is the sub-device path passed to WriteToLevel and WALMessage\n\t// (e.g. [\"socket0\"] or [\"socket0\", \"memctrl1\"]). Reused across lines.\n\tselector []string\n\n\t// typeBuf accumulates the concatenated \"type\"+\"type-id\" tag value for the\n\t// current line. Reset at the start of each line's tag-decode loop.\n\ttypeBuf []byte\n\n\t// subTypeBuf accumulates the concatenated \"subtype\"+\"stype-id\" tag value.\n\t// Reset at the start of each line's tag-decode loop.\n\tsubTypeBuf []byte\n\n\t// prevTypeBytes / prevTypeStr cache the last seen typeBuf content and its\n\t// string conversion. Because consecutive lines in a batch typically address\n\t// the same sub-device, the cache hit rate is very high and avoids\n\t// repeated []byte→string allocations.\n\tprevTypeBytes []byte\n\tprevTypeStr string\n\n\t// prevSubTypeBytes / prevSubTypeStr are the same cache for the subtype.\n\tprevSubTypeBytes []byte\n\tprevSubTypeStr string\n}\n\n// decodeStatePool recycles decodeState values across DecodeLine calls to\n// reduce GC pressure during sustained metric ingestion.\nvar decodeStatePool = sync.Pool{\n\tNew: func() any {\n\t\treturn &decodeState{\n\t\t\tmetricBuf: make([]byte, 0, 16),\n\t\t\tselector: make([]string, 0, 4),\n\t\t\ttypeBuf: make([]byte, 0, 16),\n\t\t\tsubTypeBuf: make([]byte, 0, 16),\n\t\t}\n\t},\n}\n\n// DecodeLine reads all lines from dec (InfluxDB line-protocol) and writes each\n// decoded metric sample into ms.\n//\n// clusterDefault is used as the cluster name for lines that do not carry a\n// \"cluster\" tag. Callers typically supply the ClusterTag value from the NATS\n// subscription configuration.\n//\n// Performance notes:\n// - A decodeState is obtained from decodeStatePool to reuse scratch buffers.\n// - The Level pointer (host-level node in the metric tree) is cached across\n// consecutive lines that share the same cluster+host pair to avoid\n// repeated lock acquisitions on the root and cluster levels.\n// - []byte→string conversions for type/subtype selectors are cached via\n// prevType*/prevSubType* fields because batches typically repeat the same\n// sub-device identifiers.\n// - Timestamp parsing tries Second precision first; if that fails it retries\n// Millisecond, Microsecond, and Nanosecond in turn. A missing timestamp\n// falls back to time.Now().\n//\n// When the checkpoint format is \"wal\" each successfully decoded sample is also\n// sent to WALMessages so the WAL staging goroutine can persist it durably\n// before the next binary snapshot.\nfunc DecodeLine(dec *lineprotocol.Decoder,\n\tms *MemoryStore,\n\tclusterDefault string,\n) error {\n\t// Reduce allocations in loop:\n\tt := time.Now()\n\tmetric := Metric{}\n\tst := decodeStatePool.Get().(*decodeState)\n\tdefer decodeStatePool.Put(st)\n\n\t// Optimize for the case where all lines in a \"batch\" are about the same\n\t// cluster and host. By using `WriteToLevel` (level = host), we do not need\n\t// to take the root- and cluster-level lock as often.\n\tvar lvl *Level = nil\n\tprevCluster, prevHost := \"\", \"\"\n\n\tvar ok bool\n\tfor dec.Next() {\n\t\trawmeasurement, err := dec.Measurement()\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Needs to be copied because another call to dec.* would\n\t\t// invalidate the returned slice.\n\t\tst.metricBuf = append(st.metricBuf[:0], rawmeasurement...)\n\n\t\t// The go compiler optimizes map[string(byteslice)] lookups:\n\t\tmetric.MetricConfig, ok = ms.Metrics[string(rawmeasurement)]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tst.typeBuf, st.subTypeBuf = st.typeBuf[:0], st.subTypeBuf[:0]\n\t\tcluster, host := clusterDefault, \"\"\n\t\tfor {\n\t\t\tkey, val, err := dec.NextTag()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\t// The go compiler optimizes string([]byte{...}) == \"...\":\n\t\t\tswitch string(key) {\n\t\t\tcase \"cluster\":\n\t\t\t\tif string(val) == prevCluster {\n\t\t\t\t\tcluster = prevCluster\n\t\t\t\t} else {\n\t\t\t\t\tcluster = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"hostname\", \"host\":\n\t\t\t\tif string(val) == prevHost {\n\t\t\t\t\thost = prevHost\n\t\t\t\t} else {\n\t\t\t\t\thost = string(val)\n\t\t\t\t\tlvl = nil\n\t\t\t\t}\n\t\t\tcase \"type\":\n\t\t\t\tif string(val) == \"node\" {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\t// We cannot be sure that the \"type\" tag comes before the \"type-id\" tag:\n\t\t\t\tif len(st.typeBuf) == 0 {\n\t\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.typeBuf = reorder(st.typeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"type-id\":\n\t\t\t\tst.typeBuf = append(st.typeBuf, val...)\n\t\t\tcase \"subtype\":\n\t\t\t\t// We cannot be sure that the \"subtype\" tag comes before the \"stype-id\" tag:\n\t\t\t\tif len(st.subTypeBuf) == 0 {\n\t\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\t\t} else {\n\t\t\t\t\tst.subTypeBuf = reorder(st.subTypeBuf, val)\n\t\t\t\t}\n\t\t\tcase \"stype-id\":\n\t\t\t\tst.subTypeBuf = append(st.subTypeBuf, val...)\n\t\t\tdefault:\n\t\t\t}\n\t\t}\n\n\t\t// If the cluster or host changed, the lvl was set to nil\n\t\tif lvl == nil {\n\t\t\tst.selector = st.selector[:2]\n\t\t\tst.selector[0], st.selector[1] = cluster, host\n\t\t\tlvl = ms.GetLevel(st.selector)\n\t\t\tprevCluster, prevHost = cluster, host\n\t\t}\n\n\t\t// subtypes: cache []byte→string conversions; messages in a batch typically\n\t\t// share the same type/subtype so the hit rate is very high.\n\t\tst.selector = st.selector[:0]\n\t\tif len(st.typeBuf) > 0 {\n\t\t\tif !bytes.Equal(st.typeBuf, st.prevTypeBytes) {\n\t\t\t\tst.prevTypeBytes = append(st.prevTypeBytes[:0], st.typeBuf...)\n\t\t\t\tst.prevTypeStr = string(st.typeBuf)\n\t\t\t}\n\t\t\tst.selector = append(st.selector, st.prevTypeStr)\n\t\t\tif len(st.subTypeBuf) > 0 {\n\t\t\t\tif !bytes.Equal(st.subTypeBuf, st.prevSubTypeBytes) {\n\t\t\t\t\tst.prevSubTypeBytes = append(st.prevSubTypeBytes[:0], st.subTypeBuf...)\n\t\t\t\t\tst.prevSubTypeStr = string(st.subTypeBuf)\n\t\t\t\t}\n\t\t\t\tst.selector = append(st.selector, st.prevSubTypeStr)\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tkey, val, err := dec.NextField()\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tif key == nil {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\tif string(key) != \"value\" {\n\t\t\t\treturn fmt.Errorf(\"host %s: unknown field: '%s' (value: %#v)\", host, string(key), val)\n\t\t\t}\n\n\t\t\tif val.Kind() == lineprotocol.Float {\n\t\t\t\tmetric.Value = schema.Float(val.FloatV())\n\t\t\t} else if val.Kind() == lineprotocol.Int {\n\t\t\t\tmetric.Value = schema.Float(val.IntV())\n\t\t\t} else if val.Kind() == lineprotocol.Uint {\n\t\t\t\tmetric.Value = schema.Float(val.UintV())\n\t\t\t} else {\n\t\t\t\treturn fmt.Errorf(\"host %s: unsupported value type in message: %s\", host, val.Kind().String())\n\t\t\t}\n\t\t}\n\n\t\tif t, err = dec.Time(lineprotocol.Second, t); err != nil {\n\t\t\tt = time.Now()\n\t\t\tif t, err = dec.Time(lineprotocol.Millisecond, t); err != nil {\n\t\t\t\tt = time.Now()\n\t\t\t\tif t, err = dec.Time(lineprotocol.Microsecond, t); err != nil {\n\t\t\t\t\tt = time.Now()\n\t\t\t\t\tif t, err = dec.Time(lineprotocol.Nanosecond, t); err != nil {\n\t\t\t\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"host %s: timestamp : %#v with error : %#v\", host, t, err.Error())\n\t\t}\n\n\t\ttime := t.Unix()\n\n\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\tWALMessages <- &WALMessage{\n\t\t\t\tMetricName: string(st.metricBuf),\n\t\t\t\tCluster: cluster,\n\t\t\t\tNode: host,\n\t\t\t\tSelector: append([]string{}, st.selector...),\n\t\t\t\tValue: metric.Value,\n\t\t\t\tTimestamp: time,\n\t\t\t}\n\t\t}\n\n\t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n","structuredPatch":[{"oldStart":359,"oldLines":7,"newStart":359,"newLines":8,"lines":[" }"," "," if err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {","- return err","+ cclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())","+ continue"," }"," }"," return nil"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"df4037d3-6a82-4eea-9bae-efbec8eacebe","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d0078cd1-b417-4f5b-85b4-0c8f52a0b28e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01P1xCDKxbfvXV1SXBwwQsMv","type":"message","role":"assistant","content":[{"type":"text","text":"**3. buffer.go** — Add `bufferCount()` helper:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":435,"cache_read_input_tokens":49104,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":435},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdtrMn3nTjwtmrpdqy6","type":"assistant","uuid":"d5530ef9-b80d-47e0-b910-2f3078639ef2","timestamp":"2026-03-13T06:52:00.409Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d5530ef9-b80d-47e0-b910-2f3078639ef2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01P1xCDKxbfvXV1SXBwwQsMv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KF9gv6E24K5xZHzRS4eXMv","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","old_string":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}","new_string":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n\n// bufferCount returns the number of buffer nodes in the linked list.\nfunc (b *buffer) bufferCount() int64 {\n\tvar n int64\n\tfor ; b != nil; b = b.prev {\n\t\tn++\n\t}\n\treturn n\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":435,"cache_read_input_tokens":49104,"output_tokens":322,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":435,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdtrMn3nTjwtmrpdqy6","type":"assistant","uuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","timestamp":"2026-03-13T06:52:02.826Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"9f470e40-bc08-4d81-9d05-919e75bd7284","snapshot":{"messageId":"167aeef9-9a54-4dde-b724-900d9f7638ae","trackedFileBackups":{"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v1","version":1,"backupTime":"2026-03-13T06:51:47.907Z"},"pkg/metricstore/lineprotocol.go":{"backupFileName":"90dc6599471442f6@v1","version":1,"backupTime":"2026-03-13T06:51:52.789Z"},"pkg/metricstore/buffer.go":{"backupFileName":"d475bbab9788168b@v1","version":1,"backupTime":"2026-03-13T06:52:02.842Z"}},"timestamp":"2026-03-13T06:51:34.770Z"},"isSnapshotUpdate":true} +{"parentUuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KF9gv6E24K5xZHzRS4eXMv","toolUseID":"toolu_01KF9gv6E24K5xZHzRS4eXMv","timestamp":"2026-03-13T06:52:02.843Z","uuid":"1714fa7b-f920-4b06-aa79-c01a593a5e49","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"9f470e40-bc08-4d81-9d05-919e75bd7284","isSidechain":false,"promptId":"a631224c-8362-4377-bee6-9ff6c4b66c68","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KF9gv6E24K5xZHzRS4eXMv","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go has been updated successfully."}]},"uuid":"06ea9a13-f087-42df-89de-e75b9ce34515","timestamp":"2026-03-13T06:52:02.843Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/buffer.go","oldString":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}","newString":"func (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n\n// bufferCount returns the number of buffer nodes in the linked list.\nfunc (b *buffer) bufferCount() int64 {\n\tvar n int64\n\tfor ; b != nil; b = b.prev {\n\t\tn++\n\t}\n\treturn n\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides buffer.go: Time-series data buffer implementation.\n//\n// # Buffer Architecture\n//\n// Each metric at each hierarchical level (cluster/host/cpu/etc.) uses a linked-list\n// chain of fixed-size buffers to store time-series data. This design:\n//\n// - Avoids reallocation/copying when growing (new links added instead)\n// - Enables efficient pooling (buffers returned to sync.Pool)\n// - Supports traversal back in time (via prev pointers)\n// - Maintains temporal ordering (newer data in later buffers)\n//\n// # Buffer Chain Example\n//\n//\t[oldest buffer] <- prev -- [older] <- prev -- [newest buffer (head)]\n//\t start=1000 start=1512 start=2024\n//\t data=[v0...v511] data=[v0...v511] data=[v0...v42]\n//\n// When the head buffer reaches capacity (BufferCap = 512), a new buffer becomes\n// the new head and the old head is linked via prev.\n//\n// # Pooling Strategy\n//\n// sync.Pool reduces GC pressure for the common case (BufferCap-sized allocations).\n// Non-standard capacity buffers are not pooled (e.g., from checkpoint deserialization).\n//\n// # Time Alignment\n//\n// Timestamps are aligned to measurement frequency intervals:\n//\n//\tindex = (timestamp - buffer.start) / buffer.frequency\n//\tactualTime = buffer.start + (frequency / 2) + (index * frequency)\n//\n// Missing data points are represented as NaN values. The read() function performs\n// linear interpolation where possible.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// BufferCap is the default buffer capacity.\n// buffer.data will only ever grow up to its capacity and a new link\n// in the buffer chain will be created if needed so that no copying\n// of data or reallocation needs to happen on writes.\nconst BufferCap int = DefaultBufferCapacity\n\n// BufferPool is the global instance.\n// It is initialized immediately when the package loads.\nvar bufferPool = NewPersistentBufferPool()\n\ntype PersistentBufferPool struct {\n\tpool []*buffer\n\tmu sync.Mutex\n}\n\n// NewPersistentBufferPool creates a dynamic pool for buffers.\nfunc NewPersistentBufferPool() *PersistentBufferPool {\n\treturn &PersistentBufferPool{\n\t\tpool: make([]*buffer, 0),\n\t}\n}\n\nfunc (p *PersistentBufferPool) Get() *buffer {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tn := len(p.pool)\n\tif n == 0 {\n\t\t// Pool is empty, allocate a new one\n\t\treturn &buffer{\n\t\t\tdata: make([]schema.Float, 0, BufferCap),\n\t\t}\n\t}\n\n\t// Reuse existing buffer from the pool\n\tb := p.pool[n-1]\n\tp.pool[n-1] = nil // Avoid memory leak\n\tp.pool = p.pool[:n-1]\n\treturn b\n}\n\n// Put returns b to the pool. The caller must set b.lastUsed = time.Now().Unix()\n// before calling Put so that Clean() can evict idle entries correctly.\nfunc (p *PersistentBufferPool) Put(b *buffer) {\n\t// Reset the buffer before putting it back\n\tb.data = b.data[:0]\n\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\tp.pool = append(p.pool, b)\n}\n\n// GetSize returns the exact number of buffers currently sitting in the pool.\nfunc (p *PersistentBufferPool) GetSize() int {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\treturn len(p.pool)\n}\n\n// Clear drains all buffers currently in the pool, allowing the GC to collect them.\nfunc (p *PersistentBufferPool) Clear() {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\tfor i := range p.pool {\n\t\tp.pool[i] = nil\n\t}\n\tp.pool = p.pool[:0]\n}\n\n// Clean removes buffers from the pool that haven't been used in the given duration.\n// It uses a simple LRU approach based on the lastUsed timestamp.\nfunc (p *PersistentBufferPool) Clean(threshold int64) {\n\tp.mu.Lock()\n\tdefer p.mu.Unlock()\n\n\t// Filter in place, retaining only buffers returned to the pool recently enough.\n\tactive := p.pool[:0]\n\tfor _, b := range p.pool {\n\t\tif b.lastUsed >= threshold {\n\t\t\tactive = append(active, b)\n\t\t}\n\t}\n\n\t// Nullify the rest to prevent memory leaks\n\tfor i := len(active); i < len(p.pool); i++ {\n\t\tp.pool[i] = nil\n\t}\n\n\tp.pool = active\n}\n\nvar (\n\t// ErrNoData indicates no time-series data exists for the requested metric/level.\n\tErrNoData error = errors.New(\"[METRICSTORE]> no data for this metric/level\")\n\n\t// ErrDataDoesNotAlign indicates that aggregated data from child scopes\n\t// does not align with the parent scope's expected timestamps/intervals.\n\tErrDataDoesNotAlign error = errors.New(\"[METRICSTORE]> data from lower granularities does not align\")\n)\n\n// buffer stores time-series data for a single metric at a specific hierarchical level.\n//\n// Buffers form doubly-linked chains ordered by time. When capacity is reached,\n// a new buffer becomes the head and the old head is linked via prev/next.\n//\n// Fields:\n// - prev: Link to older buffer in the chain (nil if this is oldest)\n// - next: Link to newer buffer in the chain (nil if this is newest/head)\n// - data: Time-series values (schema.Float supports NaN for missing data)\n// - frequency: Measurement interval in seconds\n// - start: Start timestamp (adjusted by -frequency/2 for alignment)\n// - archived: True if data has been persisted to disk archive\n// - closed: True if buffer is no longer accepting writes\n//\n// Index calculation: index = (timestamp - start) / frequency\n// Actual data timestamp: start + (frequency / 2) + (index * frequency)\ntype buffer struct {\n\tprev *buffer\n\tnext *buffer\n\tdata []schema.Float\n\tfrequency int64\n\tstart int64\n\tarchived bool\n\tclosed bool\n\tlastUsed int64\n}\n\nfunc newBuffer(ts, freq int64) *buffer {\n\tb := bufferPool.Get()\n\tb.frequency = freq\n\tb.start = ts - (freq / 2)\n\tb.prev = nil\n\tb.next = nil\n\tb.archived = false\n\tb.closed = false\n\tb.data = b.data[:0]\n\treturn b\n}\n\n// write appends a timestamped value to the buffer chain.\n//\n// Returns the head buffer (which may be newly created if capacity was reached).\n// Timestamps older than the buffer's start are rejected. If the calculated index\n// exceeds capacity, a new buffer is allocated and linked as the new head.\n//\n// Missing timestamps are automatically filled with NaN values to maintain alignment.\n// Overwrites are allowed if the index is already within the existing data slice.\n//\n// Parameters:\n// - ts: Unix timestamp in seconds\n// - value: Metric value (can be schema.NaN for missing data)\n//\n// Returns:\n// - *buffer: The new head buffer (same as b if no new buffer created)\n// - error: Non-nil if timestamp is before buffer start\nfunc (b *buffer) write(ts int64, value schema.Float) (*buffer, error) {\n\tif ts < b.start {\n\t\treturn nil, errors.New(\"[METRICSTORE]> cannot write value to buffer from past\")\n\t}\n\n\t// idx := int((ts - b.start + (b.frequency / 3)) / b.frequency)\n\tidx := int((ts - b.start) / b.frequency)\n\tif idx >= cap(b.data) {\n\t\tnewbuf := newBuffer(ts, b.frequency)\n\t\tnewbuf.prev = b\n\t\tb.next = newbuf\n\t\tb = newbuf\n\t\tidx = 0\n\t}\n\n\t// Overwriting value or writing value from past\n\tif idx < len(b.data) {\n\t\tb.data[idx] = value\n\t\treturn b, nil\n\t}\n\n\t// Fill up unwritten slots with NaN\n\tfor i := len(b.data); i < idx; i++ {\n\t\tb.data = append(b.data, schema.NaN)\n\t}\n\n\tb.data = append(b.data, value)\n\treturn b, nil\n}\n\nfunc (b *buffer) end() int64 {\n\treturn b.firstWrite() + int64(len(b.data))*b.frequency\n}\n\nfunc (b *buffer) firstWrite() int64 {\n\treturn b.start + (b.frequency / 2)\n}\n\n// read retrieves time-series data from the buffer chain for the specified time range.\n//\n// Traverses the buffer chain backwards (via prev links) if 'from' precedes the current\n// buffer's start. Missing data points are represented as NaN. Values are accumulated\n// into the provided 'data' slice (using +=, so caller must zero-initialize if needed).\n//\n// The function adjusts the actual time range returned if data is unavailable at the\n// boundaries (returned via adjusted from/to timestamps).\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds)\n// - to: End timestamp (Unix seconds, exclusive)\n// - data: Pre-allocated slice to accumulate results (must be large enough)\n//\n// Returns:\n// - []schema.Float: Slice of data (may be shorter than input 'data' slice)\n// - int64: Actual start timestamp with available data\n// - int64: Actual end timestamp (exclusive)\n// - error: Non-nil on failure\n//\n// Panics if 'data' slice is too small to hold all values in [from, to).\nfunc (b *buffer) read(from, to int64, data []schema.Float) ([]schema.Float, int64, int64, error) {\n\t// Walk back to the buffer that covers 'from', adjusting if we hit the oldest.\n\tfor from < b.firstWrite() {\n\t\tif b.prev == nil {\n\t\t\tfrom = b.firstWrite()\n\t\t\tbreak\n\t\t}\n\t\tb = b.prev\n\t}\n\n\ti := 0\n\tt := from\n\tfor ; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tif b.next == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tb = b.next\n\t\t\t// Recalculate idx in the new buffer; a gap between buffers may exist.\n\t\t\tidx = int((t - b.start) / b.frequency)\n\t\t}\n\n\t\tif idx >= len(b.data) {\n\t\t\tif b.next == nil || to <= b.next.start {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tdata[i] += schema.NaN // NaN + anything = NaN; propagates missing data\n\t\t} else if t < b.start {\n\t\t\tdata[i] += schema.NaN // gap before this buffer's first write\n\t\t} else {\n\t\t\tdata[i] += b.data[idx]\n\t\t}\n\t\ti++\n\t}\n\n\treturn data[:i], from, t, nil\n}\n\n// free removes buffers older than the specified timestamp from the chain.\n//\n// Recursively traverses backwards (via prev) and unlinks buffers whose end time\n// is before the retention threshold. Freed buffers are returned to the pool if\n// they have the standard capacity (BufferCap).\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - delme: True if the current buffer itself should be deleted by caller\n// - n: Number of buffers freed in this subtree\nfunc (b *buffer) free(t int64) (delme bool, n int) {\n\tif b.prev != nil {\n\t\tdelme, m := b.prev.free(t)\n\t\tn += m\n\t\tif delme {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t}\n\n\tend := b.end()\n\tif end < t {\n\t\treturn true, n + 1\n\t}\n\n\treturn false, n\n}\n\n// forceFreeOldest recursively finds the end of the linked list (the oldest buffer)\n// and removes it.\n// Returns:\n//\n//\tdelme: true if 'b' itself is the oldest and should be removed by the caller\n//\tn: the number of buffers freed (will be 1 or 0)\nfunc (b *buffer) forceFreeOldest() (delme bool, n int) {\n\t// If there is a previous buffer, recurse down to find the oldest\n\tif b.prev != nil {\n\t\tdelPrev, freed := b.prev.forceFreeOldest()\n\n\t\t// If the previous buffer signals it should be deleted:\n\t\tif delPrev {\n\t\t\tb.prev.next = nil\n\t\t\tif cap(b.prev.data) != BufferCap {\n\t\t\t\tb.prev.data = make([]schema.Float, 0, BufferCap)\n\t\t\t}\n\t\t\tb.prev.lastUsed = time.Now().Unix()\n\t\t\tbufferPool.Put(b.prev)\n\t\t\tb.prev = nil\n\t\t}\n\t\treturn false, freed\n\t}\n\n\t// If b.prev is nil, THIS buffer is the oldest.\n\t// We return true so the parent (or the Level loop) knows to delete reference to 'b'.\n\treturn true, 1\n}\n\n// iterFromTo invokes callback on every buffer in the chain that overlaps [from, to].\n//\n// Traverses backwards (via prev) first, then processes current buffer if it overlaps\n// the time range. Used for checkpoint/archive operations that need to serialize buffers\n// within a specific time window.\n//\n// Parameters:\n// - from: Start timestamp (Unix seconds, inclusive)\n// - to: End timestamp (Unix seconds, inclusive)\n// - callback: Function to invoke on each overlapping buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\nfunc (b *buffer) iterFromTo(from, to int64, callback func(b *buffer) error) error {\n\tif b == nil {\n\t\treturn nil\n\t}\n\n\t// Collect overlapping buffers walking backwards (newest → oldest).\n\tvar matching []*buffer\n\tfor cur := b; cur != nil; cur = cur.prev {\n\t\tif from <= cur.end() && cur.start <= to {\n\t\t\tmatching = append(matching, cur)\n\t\t}\n\t}\n\n\t// Invoke callback in chronological order (oldest → newest).\n\tfor i := len(matching) - 1; i >= 0; i-- {\n\t\tif err := callback(matching[i]); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\treturn nil\n}\n\nfunc (b *buffer) count() int64 {\n\tvar res int64\n\tfor ; b != nil; b = b.prev {\n\t\tres += int64(len(b.data))\n\t}\n\treturn res\n}\n","structuredPatch":[{"oldStart":408,"oldLines":3,"newStart":408,"newLines":12,"lines":[" }"," return res"," }","+","+// bufferCount returns the number of buffer nodes in the linked list.","+func (b *buffer) bufferCount() int64 {","+ var n int64","+ for ; b != nil; b = b.prev {","+ n++","+ }","+ return n","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9f470e40-bc08-4d81-9d05-919e75bd7284","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"06ea9a13-f087-42df-89de-e75b9ce34515","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0148yKKvBB2duXwfUCJsPt9j","type":"message","role":"assistant","content":[{"type":"text","text":"**4. level.go** — Prune empty children after free, improve 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free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 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m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, l := range l.children {\n\t\tm, err := l.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":200,"oldLines":17,"newStart":200,"newLines":33,"lines":[" }"," }"," ","- for _, l := range l.children {","- m, err := l.free(t)","+ for key, child := range l.children {","+ m, err := child.free(t)"," n += m"," if err != nil {"," return n, err"," }","+ if child.isEmpty() {","+ delete(l.children, key)","+ }"," }"," "," return n, nil"," }"," ","+// isEmpty returns true if this level has no metrics and no children.","+func (l *Level) isEmpty() bool {","+ l.lock.RLock()","+ defer l.lock.RUnlock()","+","+ for _, b := range l.metrics {","+ if b != nil {","+ return false","+ }","+ }","+ return len(l.children) == 0","+}","+"," // forceFree removes the oldest buffer from each metric chain in the subtree."," //"," // Unlike free(), which removes based on time threshold, this unconditionally removes"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"e7c1f488-8287-43d2-8f41-e704e8d3563b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":822,"cache_read_input_tokens":49906,"output_tokens":415,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":822,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdvH9ZoSMKePBnmHuNN","type":"assistant","uuid":"597a6c95-8bc4-4b55-8960-79d4f9581a34","timestamp":"2026-03-13T06:52:22.604Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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successfully."}]},"uuid":"a57b2a05-b6a2-46cb-aabe-9e36d29d0598","timestamp":"2026-03-13T06:52:22.642Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"func (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}","newString":"func (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":294,"oldLines":6,"newStart":294,"newLines":7,"lines":[" for _, b := range l.metrics {"," if b != nil {"," size += b.count() * int64(unsafe.Sizeof(schema.Float(0)))","+ size += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"597a6c95-8bc4-4b55-8960-79d4f9581a34","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a57b2a05-b6a2-46cb-aabe-9e36d29d0598","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XukQEEktXeTjhSSjzx7Zxx","type":"message","role":"assistant","content":[{"type":"text","text":"**5. metricstore.go** — Fix MemoryUsageTracker:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":460,"cache_read_input_tokens":50728,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":460},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdw4KBHE4qmGNhsGS6K","type":"assistant","uuid":"02ccb42b-fcf2-4694-b9d4-d534825c4f8f","timestamp":"2026-03-13T06:52:24.827Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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+{"parentUuid":"02ccb42b-fcf2-4694-b9d4-d534825c4f8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XukQEEktXeTjhSSjzx7Zxx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ashwzcCazMi5NjaQ8jh18","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","old_string":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","new_string":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", 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successfully."}]},"uuid":"143d0d76-bbb7-4d40-99a7-2948e69c0a5f","timestamp":"2026-03-13T06:52:51.567Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","oldString":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","newString":"func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td := DefaultMemoryUsageTrackerInterval\n\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tbufferPool.Clear()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\tconst maxIterations = 100\n\n\t\t\t\t\tfor i := range maxIterations {\n\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tfreed, err := ms.ForceFree()\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif freed == 0 {\n\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\t// if freedEmergency > 0 {\n\t\t\t\t\t// \tdebug.FreeOSMemory()\n\t\t\t\t\t// }\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","structuredPatch":[{"oldStart":384,"oldLines":14,"newStart":384,"newLines":16,"lines":[" ms := GetMemoryStore()"," "," wg.Go(func() {","- d := DefaultMemoryUsageTrackerInterval","+ normalInterval := DefaultMemoryUsageTrackerInterval","+ fastInterval := 30 * time.Second"," ","- if d <= 0 {","+ if normalInterval <= 0 {"," return"," }"," ","- ticker := time.NewTicker(d)","+ ticker := time.NewTicker(normalInterval)"," defer ticker.Stop()","+ currentInterval := normalInterval"," "," for {"," select {"]},{"oldStart":428,"oldLines":48,"newStart":430,"newLines":59,"lines":[" runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9"," ","- bufferPool.Clear()","- cclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")","-"," if actualMemoryGB > float64(Keys.MemoryCap) {"," cclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)"," ","- const maxIterations = 100","+ // Use progressive time-based Free with increasing threshold","+ // instead of ForceFree loop — fewer tree traversals, more effective","+ d, parseErr := time.ParseDuration(Keys.RetentionInMemory)","+ if parseErr != nil {","+ cclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)","+ } else {","+ thresholds := []float64{0.75, 0.5, 0.25}","+ for _, fraction := range thresholds {","+ threshold := time.Now().Add(-time.Duration(float64(d) * fraction))","+ freed, freeErr := ms.Free(nil, threshold.Unix())","+ if freeErr != nil {","+ cclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)","+ }","+ freedEmergency += freed"," ","- for i := range maxIterations {","- if actualMemoryGB < float64(Keys.MemoryCap) {","- break","- }","-","- freed, err := ms.ForceFree()","- if err != nil {","- cclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)","- }","- if freed == 0 {","- cclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)","- break","- }","- freedEmergency += freed","-","- if i%10 == 0 && freedEmergency > 0 {","+ bufferPool.Clear()","+ runtime.GC()"," runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9","+","+ if actualMemoryGB < float64(Keys.MemoryCap) {","+ break","+ }"," }"," }"," ","- // if freedEmergency > 0 {","- // \tdebug.FreeOSMemory()","- // }","+ bufferPool.Clear()","+ debug.FreeOSMemory()"," "," runtime.ReadMemStats(&mem)"," actualMemoryGB = float64(mem.Alloc) / 1e9"," "," if actualMemoryGB >= float64(Keys.MemoryCap) {","- cclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)","+ cclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)"," } else {"," cclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)"," }"," }","+","+ // Adaptive ticker: check more frequently when memory is high","+ memoryRatio := actualMemoryGB / float64(Keys.MemoryCap)","+ if memoryRatio > 0.8 && currentInterval != fastInterval {","+ ticker.Reset(fastInterval)","+ currentInterval = fastInterval","+ cclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)","+ } else if memoryRatio <= 0.8 && currentInterval != normalInterval {","+ ticker.Reset(normalInterval)","+ currentInterval = normalInterval","+ cclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)","+ }"," }"," }"," })"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c8c66e9-ca84-40e2-9bfa-47a3a0f938e3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"143d0d76-bbb7-4d40-99a7-2948e69c0a5f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PWcroiL9u1fBq7KQmnoSPP","type":"message","role":"assistant","content":[{"type":"text","text":"Now let's verify it builds and tests pass:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2439,"cache_read_input_tokens":51188,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2439},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzdyBkhwb286abxUADkc","type":"assistant","uuid":"e6451cbc-9031-4679-bafb-f5f1a89f6e38","timestamp":"2026-03-13T06:52:53.714Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"e6451cbc-9031-4679-bafb-f5f1a89f6e38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PWcroiL9u1fBq7KQmnoSPP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014sFKoaTqBsD9GE86zhJPsP","name":"Bash","input":{"command":"go build ./pkg/metricstore/...","description":"Build metricstore 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Here's a summary of the changes:\n\n### Changes made:\n\n1. **`config.go:56`** — Reduced `DefaultMemoryUsageTrackerInterval` from `1 * time.Hour` to `5 * time.Minute` so memory is checked more frequently.\n\n2. **`lineprotocol.go:361-363`** — Changed `return err` to `cclog.Warn(...)` + `continue` so a single out-of-order timestamp no longer aborts the entire NATS batch. Remaining lines are still processed.\n\n3. **`metricstore.go:383-476`** (MemoryUsageTracker) — Three fixes:\n - **Removed premature `bufferPool.Clear()`** that ran every tick regardless of memory pressure (was preventing freed buffers from being reclaimed by GC since they went back to the pool immediately).\n - **Replaced the broken `ForceFree` loop** (100 iterations without clearing pool or GC = `mem.Alloc` never decreases) with **progressive `Free(nil, threshold)`** using 75%/50%/25% of retention time, with `bufferPool.Clear()` + `runtime.GC()` between each step so memory stats actually update.\n - **Added `debug.FreeOSMemory()`** after emergency freeing and **adaptive ticker** (30s when >80% of cap, normal interval otherwise).\n\n4. **`level.go:183-212`** — `free()` now **prunes empty children** from the map after freeing their buffers. Added `isEmpty()` helper. Also improved `sizeInBytes()` to count buffer struct overhead (`unsafe.Sizeof(buffer{})` per node in the linked list), not just float data.\n\n5. **`buffer.go:413-419`** — Added `bufferCount()` helper that counts linked-list nodes for the overhead calculation."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":138,"cache_read_input_tokens":53848,"output_tokens":453,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":138,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzdynVzzisnz4TkLSzvc","type":"assistant","uuid":"4abc5754-3474-4365-b2a3-61c325fabf9d","timestamp":"2026-03-13T06:53:12.801Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/jobCreate.go\n\tmodified: pkg/metricstore/buffer.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/lineprotocol.go\n\tmodified: pkg/metricstore/metricstore.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"788e7f82-6546-4c39-9bd1-718e4931c1d4","timestamp":"2026-03-13T06:57:22.192Z","toolUseResult":{"stdout":"On branch hotfix\nYour branch is up to date with 'origin/hotfix'.\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: internal/repository/jobCreate.go\n\tmodified: pkg/metricstore/buffer.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/lineprotocol.go\n\tmodified: pkg/metricstore/metricstore.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"309e5df8-b269-48be-ae5a-b3669cb6d19c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"788e7f82-6546-4c39-9bd1-718e4931c1d4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0128bAeVDfrRSKopMxr2Wagv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017sinVFJhGoMH6oBwooJU6L","name":"Bash","input":{"command":"git diff","description":"Show staged and unstaged 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b/internal/repository/jobCreate.go\nindex 07c8ce11..7047f12f 100644\n--- a/internal/repository/jobCreate.go\n+++ b/internal/repository/jobCreate.go\n@@ -96,13 +96,13 @@ func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n \t_, err = r.DB.Exec(\n \t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n \t\treturn nil, err\n \t}\n \n \t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n \t\treturn nil, err\n \t}\n \n@@ -211,4 +211,3 @@ func (r *JobRepository) Stop(\n \t_, err = stmt.RunWith(r.stmtCache).Exec()\n \treturn err\n }\n-\ndiff --git a/pkg/metricstore/buffer.go b/pkg/metricstore/buffer.go\nindex 2d752006..8530f893 100644\n--- a/pkg/metricstore/buffer.go\n+++ b/pkg/metricstore/buffer.go\n@@ -408,3 +408,12 @@ func (b *buffer) count() int64 {\n \t}\n \treturn res\n }\n+\n+// bufferCount returns the number of buffer nodes in the linked list.\n+func (b *buffer) bufferCount() int64 {\n+\tvar n int64\n+\tfor ; b != nil; b = b.prev {\n+\t\tn++\n+\t}\n+\treturn n\n+}\ndiff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 3b6be529..44743dbe 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -53,7 +53,7 @@ const (\n \tDefaultMaxWorkers = 10\n \tDefaultBufferCapacity = 512\n \tDefaultGCTriggerInterval = 100\n-\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n+\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n )\n \n // Checkpoints configures periodic persistence of in-memory metric data.\ndiff --git a/pkg/metricstore/level.go b/pkg/metricstore/level.go\nindex 2b24a2ea..218ae8e6 100644\n--- a/pkg/metricstore/level.go\n+++ b/pkg/metricstore/level.go\n@@ -200,17 +200,33 @@ func (l *Level) free(t int64) (int, error) {\n \t\t}\n \t}\n \n-\tfor _, l := range l.children {\n-\t\tm, err := l.free(t)\n+\tfor key, child := range l.children {\n+\t\tm, err := child.free(t)\n \t\tn += m\n \t\tif err != nil {\n \t\t\treturn n, err\n \t\t}\n+\t\tif child.isEmpty() {\n+\t\t\tdelete(l.children, key)\n+\t\t}\n \t}\n \n \treturn n, nil\n }\n \n+// isEmpty returns true if this level has no metrics and no children.\n+func (l *Level) isEmpty() bool {\n+\tl.lock.RLock()\n+\tdefer l.lock.RUnlock()\n+\n+\tfor _, b := range l.metrics {\n+\t\tif b != nil {\n+\t\t\treturn false\n+\t\t}\n+\t}\n+\treturn len(l.children) == 0\n+}\n+\n // forceFree removes the oldest buffer from each metric chain in the subtree.\n //\n // Unlike free(), which removes based on time threshold, this unconditionally removes\n@@ -278,6 +294,7 @@ func (l *Level) sizeInBytes() int64 {\n \tfor _, b := range l.metrics {\n \t\tif b != nil {\n \t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n+\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n \t\t}\n \t}\n \ndiff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex ecae3df1..21f036ed 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -359,7 +359,8 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t}\n \n \t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n-\t\t\treturn err\n+\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n+\t\t\tcontinue\n \t\t}\n \t}\n \treturn nil\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex b6fbb51a..85eb0baf 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -384,14 +384,16 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \tms := GetMemoryStore()\n \n \twg.Go(func() {\n-\t\td := DefaultMemoryUsageTrackerInterval\n+\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n+\t\tfastInterval := 30 * time.Second\n \n-\t\tif d <= 0 {\n+\t\tif normalInterval <= 0 {\n \t\t\treturn\n \t\t}\n \n-\t\tticker := time.NewTicker(d)\n+\t\tticker := time.NewTicker(normalInterval)\n \t\tdefer ticker.Stop()\n+\t\tcurrentInterval := normalInterval\n \n \t\tfor {\n \t\t\tselect {\n@@ -428,48 +430,59 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n-\t\t\t\tbufferPool.Clear()\n-\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n-\n \t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n \t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n \n-\t\t\t\t\tconst maxIterations = 100\n-\n-\t\t\t\t\tfor i := range maxIterations {\n-\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\n-\t\t\t\t\t\tfreed, err := ms.ForceFree()\n-\t\t\t\t\t\tif err != nil {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tif freed == 0 {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tfreedEmergency += freed\n-\n-\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n+\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n+\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n+\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n+\t\t\t\t\tif parseErr != nil {\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n+\t\t\t\t\t} else {\n+\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n+\t\t\t\t\t\tfor _, fraction := range thresholds {\n+\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n+\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n+\t\t\t\t\t\t\tif freeErr != nil {\n+\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n+\t\t\t\t\t\t\t}\n+\t\t\t\t\t\t\tfreedEmergency += freed\n+\n+\t\t\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\t\t\truntime.GC()\n \t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n+\n+\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n+\t\t\t\t\t\t\t\tbreak\n+\t\t\t\t\t\t\t}\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \n-\t\t\t\t\t// if freedEmergency > 0 {\n-\t\t\t\t\t// \tdebug.FreeOSMemory()\n-\t\t\t\t\t// }\n+\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\tdebug.FreeOSMemory()\n \n \t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n \t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n-\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n \t\t\t\t\t} else {\n \t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n \t\t\t\t\t}\n \t\t\t\t}\n+\n+\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n+\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n+\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n+\t\t\t\t\tticker.Reset(fastInterval)\n+\t\t\t\t\tcurrentInterval = fastInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n+\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n+\t\t\t\t\tticker.Reset(normalInterval)\n+\t\t\t\t\tcurrentInterval = normalInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n+\t\t\t\t}\n \t\t\t}\n \t\t}\n \t})","is_error":false}]},"uuid":"4c5fcc00-6e6b-4f4d-a3b6-17974f9a0ec5","timestamp":"2026-03-13T06:57:22.687Z","toolUseResult":{"stdout":"diff --git a/internal/repository/jobCreate.go b/internal/repository/jobCreate.go\nindex 07c8ce11..7047f12f 100644\n--- a/internal/repository/jobCreate.go\n+++ b/internal/repository/jobCreate.go\n@@ -96,13 +96,13 @@ func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n \t_, err = r.DB.Exec(\n \t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job sync: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n \t\treturn nil, err\n \t}\n \n \t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n \tif err != nil {\n-\t\tcclog.Warnf(\"Error while Job cache clean: %v\", err)\n+\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n \t\treturn nil, err\n \t}\n \n@@ -211,4 +211,3 @@ func (r *JobRepository) Stop(\n \t_, err = stmt.RunWith(r.stmtCache).Exec()\n \treturn err\n }\n-\ndiff --git a/pkg/metricstore/buffer.go b/pkg/metricstore/buffer.go\nindex 2d752006..8530f893 100644\n--- a/pkg/metricstore/buffer.go\n+++ b/pkg/metricstore/buffer.go\n@@ -408,3 +408,12 @@ func (b *buffer) count() int64 {\n \t}\n \treturn res\n }\n+\n+// bufferCount returns the number of buffer nodes in the linked list.\n+func (b *buffer) bufferCount() int64 {\n+\tvar n int64\n+\tfor ; b != nil; b = b.prev {\n+\t\tn++\n+\t}\n+\treturn n\n+}\ndiff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 3b6be529..44743dbe 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -53,7 +53,7 @@ const (\n \tDefaultMaxWorkers = 10\n \tDefaultBufferCapacity = 512\n \tDefaultGCTriggerInterval = 100\n-\tDefaultMemoryUsageTrackerInterval = 1 * time.Hour\n+\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n )\n \n // Checkpoints configures periodic persistence of in-memory metric data.\ndiff --git a/pkg/metricstore/level.go b/pkg/metricstore/level.go\nindex 2b24a2ea..218ae8e6 100644\n--- a/pkg/metricstore/level.go\n+++ b/pkg/metricstore/level.go\n@@ -200,17 +200,33 @@ func (l *Level) free(t int64) (int, error) {\n \t\t}\n \t}\n \n-\tfor _, l := range l.children {\n-\t\tm, err := l.free(t)\n+\tfor key, child := range l.children {\n+\t\tm, err := child.free(t)\n \t\tn += m\n \t\tif err != nil {\n \t\t\treturn n, err\n \t\t}\n+\t\tif child.isEmpty() {\n+\t\t\tdelete(l.children, key)\n+\t\t}\n \t}\n \n \treturn n, nil\n }\n \n+// isEmpty returns true if this level has no metrics and no children.\n+func (l *Level) isEmpty() bool {\n+\tl.lock.RLock()\n+\tdefer l.lock.RUnlock()\n+\n+\tfor _, b := range l.metrics {\n+\t\tif b != nil {\n+\t\t\treturn false\n+\t\t}\n+\t}\n+\treturn len(l.children) == 0\n+}\n+\n // forceFree removes the oldest buffer from each metric chain in the subtree.\n //\n // Unlike free(), which removes based on time threshold, this unconditionally removes\n@@ -278,6 +294,7 @@ func (l *Level) sizeInBytes() int64 {\n \tfor _, b := range l.metrics {\n \t\tif b != nil {\n \t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n+\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n \t\t}\n \t}\n \ndiff --git a/pkg/metricstore/lineprotocol.go b/pkg/metricstore/lineprotocol.go\nindex ecae3df1..21f036ed 100644\n--- a/pkg/metricstore/lineprotocol.go\n+++ b/pkg/metricstore/lineprotocol.go\n@@ -359,7 +359,8 @@ func DecodeLine(dec *lineprotocol.Decoder,\n \t\t}\n \n \t\tif err := ms.WriteToLevel(lvl, st.selector, time, []Metric{metric}); err != nil {\n-\t\t\treturn err\n+\t\t\tcclog.Warnf(\"write error for host %s metric %s at ts %d: %s\", host, string(st.metricBuf), time, err.Error())\n+\t\t\tcontinue\n \t\t}\n \t}\n \treturn nil\ndiff --git a/pkg/metricstore/metricstore.go b/pkg/metricstore/metricstore.go\nindex b6fbb51a..85eb0baf 100644\n--- a/pkg/metricstore/metricstore.go\n+++ b/pkg/metricstore/metricstore.go\n@@ -384,14 +384,16 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \tms := GetMemoryStore()\n \n \twg.Go(func() {\n-\t\td := DefaultMemoryUsageTrackerInterval\n+\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n+\t\tfastInterval := 30 * time.Second\n \n-\t\tif d <= 0 {\n+\t\tif normalInterval <= 0 {\n \t\t\treturn\n \t\t}\n \n-\t\tticker := time.NewTicker(d)\n+\t\tticker := time.NewTicker(normalInterval)\n \t\tdefer ticker.Stop()\n+\t\tcurrentInterval := normalInterval\n \n \t\tfor {\n \t\t\tselect {\n@@ -428,48 +430,59 @@ func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n-\t\t\t\tbufferPool.Clear()\n-\t\t\t\tcclog.Infof(\"[METRICSTORE]> Cleaned up bufferPool\\n\")\n-\n \t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n \t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n \n-\t\t\t\t\tconst maxIterations = 100\n-\n-\t\t\t\t\tfor i := range maxIterations {\n-\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\n-\t\t\t\t\t\tfreed, err := ms.ForceFree()\n-\t\t\t\t\t\tif err != nil {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing buffers: %s\", err)\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tif freed == 0 {\n-\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> no more buffers to free after %d emergency frees, memory usage %.2f GB still exceeds cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n-\t\t\t\t\t\t\tbreak\n-\t\t\t\t\t\t}\n-\t\t\t\t\t\tfreedEmergency += freed\n-\n-\t\t\t\t\t\tif i%10 == 0 && freedEmergency > 0 {\n+\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n+\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n+\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n+\t\t\t\t\tif parseErr != nil {\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n+\t\t\t\t\t} else {\n+\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n+\t\t\t\t\t\tfor _, fraction := range thresholds {\n+\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n+\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n+\t\t\t\t\t\t\tif freeErr != nil {\n+\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n+\t\t\t\t\t\t\t}\n+\t\t\t\t\t\t\tfreedEmergency += freed\n+\n+\t\t\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\t\t\truntime.GC()\n \t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n+\n+\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n+\t\t\t\t\t\t\t\tbreak\n+\t\t\t\t\t\t\t}\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \n-\t\t\t\t\t// if freedEmergency > 0 {\n-\t\t\t\t\t// \tdebug.FreeOSMemory()\n-\t\t\t\t\t// }\n+\t\t\t\t\tbufferPool.Clear()\n+\t\t\t\t\tdebug.FreeOSMemory()\n \n \t\t\t\t\truntime.ReadMemStats(&mem)\n \t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n \n \t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n-\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after %d emergency frees, memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n+\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n \t\t\t\t\t} else {\n \t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n \t\t\t\t\t}\n \t\t\t\t}\n+\n+\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n+\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n+\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n+\t\t\t\t\tticker.Reset(fastInterval)\n+\t\t\t\t\tcurrentInterval = fastInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n+\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n+\t\t\t\t\tticker.Reset(normalInterval)\n+\t\t\t\t\tcurrentInterval = normalInterval\n+\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n+\t\t\t\t}\n \t\t\t}\n \t\t}\n \t})","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7eb73571-ee2a-400d-b4af-b1adbcc10588","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4c5fcc00-6e6b-4f4d-a3b6-17974f9a0ec5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0128bAeVDfrRSKopMxr2Wagv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YZHQdpMKJUvqon1DwtQ21R","name":"Bash","input":{"command":"git log --oneline -5","description":"Show recent commits"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":518,"cache_read_input_tokens":53986,"output_tokens":249,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzeJwWGK8YaKZLMwUu4j","type":"assistant","uuid":"41343b67-7f69-49d7-a2d9-58392ce93086","timestamp":"2026-03-13T06:57:23.056Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"41343b67-7f69-49d7-a2d9-58392ce93086","isSidechain":false,"promptId":"3dee3a02-b0d9-414b-ba07-3fb96a789b6f","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YZHQdpMKJUvqon1DwtQ21R","type":"tool_result","content":"126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query\n8e86e872 Make stats query selective. Add stats index. Add paging to user list.\n4555fb8a Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix","is_error":false}]},"uuid":"30183768-6698-478e-b1dc-3a1c17be2a47","timestamp":"2026-03-13T06:57:23.094Z","toolUseResult":{"stdout":"126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query\n8e86e872 Make stats query selective. Add stats index. Add paging to user list.\n4555fb8a Merge branch 'hotfix' of github.com:ClusterCockpit/cc-backend into hotfix","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"41343b67-7f69-49d7-a2d9-58392ce93086","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"30183768-6698-478e-b1dc-3a1c17be2a47","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PpuJwbQfeoRGdPMwMXCA5y","type":"message","role":"assistant","content":[{"type":"text","text":"Note: `internal/repository/jobCreate.go` has pre-existing changes (unrelated log level fix). I'll commit only the metricstore files."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3601,"cache_read_input_tokens":54504,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3601},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzeKCZ8oFRGgPfr7mbmf","type":"assistant","uuid":"8c8873bd-c949-4d80-8c9c-10002740dbe7","timestamp":"2026-03-13T06:57:26.646Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8c8873bd-c949-4d80-8c9c-10002740dbe7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PpuJwbQfeoRGdPMwMXCA5y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D7sm5LtPELaC49u4eQDQ9R","name":"Bash","input":{"command":"git add pkg/metricstore/buffer.go pkg/metricstore/config.go pkg/metricstore/level.go pkg/metricstore/lineprotocol.go pkg/metricstore/metricstore.go && git commit -m \"$(cat <<'EOF'\nfix: Fix metricstore memory explosion from broken emergency free and batch aborts\n\n- Fix MemoryUsageTracker: remove premature bufferPool.Clear() that prevented\n mem.Alloc from decreasing, replace broken ForceFree loop (100 iterations\n with no GC) with progressive time-based Free at 75%/50%/25% retention,\n add bufferPool.Clear()+GC between steps so memory stats update correctly\n- Enable debug.FreeOSMemory() after emergency freeing to return memory to OS\n- Add adaptive ticker: 30s checks when memory >80% of cap, normal otherwise\n- Reduce default memory check interval from 1h to 5min\n- Don't abort entire NATS batch on single write error (out-of-order timestamp),\n log warning and continue processing remaining lines\n- Prune empty levels from tree after free() to reduce overhead\n- Include buffer struct overhead in sizeInBytes() for more accurate reporting\n\nCo-Authored-By: Claude Opus 4.6 \nEOF\n)\"","description":"Commit metricstore memory fix changes"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3601,"cache_read_input_tokens":54504,"output_tokens":428,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3601,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzeKCZ8oFRGgPfr7mbmf","type":"assistant","uuid":"93380279-8b97-44fd-8203-5cb22c742e3d","timestamp":"2026-03-13T06:57:35.527Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"39705f8c-1691-4d60-b0aa-39f588ed9dcf","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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frontend\n 6→implementation of ClusterCockpit.\n 7→For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n 8→\n 9→## Changes in 1.5.1\n 10→\n 11→### Database\n 12→\n 13→- **New migration (version 11)**: Optimized database index count for better performance\n 14→- **ANALYZE on startup**: Database statistics are now refreshed on startup for improved query planning\n 15→- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n 16→- **Query cancellation**: Long-running database queries can now be cancelled\n 17→- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n 18→\n 19→### Bug fixes\n 20→\n 21→- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n 22→- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n 23→- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n 24→- **Energy filter preset**: Reduced energy filter preset to a more practical default\n 25→- **JSON validity check**: Fixed wrong field being checked for JSON validity\n 26→- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n 27→- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n 28→\n 29→### Frontend\n 30→\n 31→- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n 32→\n 33→### Documentation\n 34→\n 35→- **New DB config options**: Added new database configuration options to README\n 36→\n 37→---\n 38→\n 39→*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n 40→\n 41→## Breaking changes\n 42→\n 43→### Configuration changes\n 44→\n 45→- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n 46→ style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n 47→ Update your `config.json` accordingly.\n 48→- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n 49→- **Removed `clusters` config section**: The separate clusters configuration section\n 50→ has been removed. Cluster information is now derived from the job archive.\n 51→- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n 52→ restricted.\n 53→\n 54→### Architecture changes\n 55→\n 56→- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n 57→ router. This should be transparent to users but affects how middleware and\n 58→ routes are composed. A proper 404 handler is now in place.\n 59→- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n 60→ to `pkg/` as it is now part of the public API.\n 61→- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n 62→- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n 63→ and renamed to \"Cleanup\" for clarity.\n 64→- **`minRunningFor` filter removed**: This undocumented filter has been removed\n 65→ from the API and frontend.\n 66→\n 67→### Dependency changes\n 68→\n 69→- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n 70→- **cclib NATS client**: Now using the cclib NATS client implementation\n 71→- Removed obsolete `util.Float` usage from cclib\n 72→\n 73→## Major new features\n 74→\n 75→### NATS API Integration\n 76→\n 77→- **Real-time job events**: Subscribe to job start/stop events via NATS\n 78→- **Node state updates**: Receive real-time node state changes via NATS\n 79→- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n 80→- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n 81→\n 82→### Public Dashboard\n 83→\n 84→- **Public-facing interface**: New public dashboard route for external users\n 85→- **DoubleMetricPlot component**: New visualization component for comparing metrics\n 86→- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n 87→\n 88→### Enhanced Node Management\n 89→\n 90→- **Node state tracking**: New node table in database with timestamp tracking\n 91→- **Node state filtering**: Filter jobs by node state in systems view\n 92→- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n 93→- **Nodestate retention and archiving**: Node state data is now subject to configurable\n 94→ retention policies and can be archived to Parquet format for long-term storage\n 95→- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n 96→\n 97→### Health Monitoring\n 98→\n 99→- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n 100→ showing per-node metric health across the cluster\n 101→- **CCMS health check**: Support for querying health status of external\n 102→ cc-metric-store (CCMS) instances via the API\n 103→- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n 104→- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n 105→\n 106→### Log Viewer\n 107→\n 108→- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n 109→ backend log output directly from the browser without shell access\n 110→- **Accessible from header**: Quick access link from the navigation header\n 111→\n 112→### MetricStore Improvements\n 113→\n 114→- **Memory tracking worker**: New worker for CCMS memory usage tracking\n 115→- **Dynamic retention**: Support for job specific dynamic retention times\n 116→- **Improved compression**: Transparent compression for job archive imports\n 117→- **Parallel processing**: Parallelized Iter function in all archive backends\n 118→\n 119→### Job Tagging System\n 120→\n 121→- **Job tagger option**: Enable automatic job tagging via configuration flag\n 122→- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n 123→- **Job classification**: Automatic detection of pathological jobs\n 124→- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n 125→- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n 126→ without restarting the backend\n 127→\n 128→### Archive Backends\n 129→\n 130→- **Parquet archive format**: New Parquet file format for job archiving, providing\n 131→ columnar storage with efficient compression for analytical workloads\n 132→- **S3 backend**: Full support for S3-compatible object storage\n 133→- **SQLite backend**: Full support for SQLite backend using blobs\n 134→- **Performance improvements**: Fixed performance bugs in archive backends\n 135→- **Better error handling**: Improved error messages and fallback handling\n 136→- **Zstd compression**: Parquet writers use zstd compression for better\n 137→ compression ratios compared to the previous snappy default\n 138→- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n 139→ cluster, subcluster, and start time for efficient range queries\n 140→\n 141→### Unified Archive Retention and Format Conversion\n 142→\n 143→- **Uniform retention policy**: Job archive retention now supports both JSON and\n 144→ Parquet as target formats under a single, consistent policy configuration\n 145→- **Archive manager tool**: The `tools/archive-manager` utility now supports\n 146→ format conversion between JSON and Parquet job archives\n 147→- **Parquet reader**: Full Parquet archive reader implementation for reading back\n 148→ archived job data\n 149→\n 150→## New features and improvements\n 151→\n 152→### Frontend\n 153→\n 154→- **Loading indicators**: Added loading indicators to status detail and job lists\n 155→- **Job info layout**: Reviewed and improved job info row layout\n 156→- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n 157→- **Filter presets**: Move list filter preset to URL for easy sharing\n 158→- **Job comparison**: Improved job comparison views and plots\n 159→- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n 160→- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n 161→ replaces the removed undocumented `minRunningFor` filter\n 162→- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n 163→ plots in a job list row for easier cross-metric comparison\n 164→- **Disabled metrics handling**: Improved handling and display of disabled metrics\n 165→ across job view, node view, and list rows\n 166→- **\"Not configured\" info cards**: Informational cards shown when optional features\n 167→ are not yet configured\n 168→- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n 169→- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n 170→\n 171→### Backend\n 172→\n 173→- **Progress bars**: Import function now shows progress during long operations\n 174→- **Better logging**: Improved logging with appropriate log levels throughout\n 175→- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n 176→- **Configuration defaults**: Sensible defaults for most configuration options\n 177→- **Documentation**: Extensive documentation improvements across packages\n 178→- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n 179→\n 180→### Security\n 181→\n 182→- **LDAP security hardening**: Improved input validation, connection handling, and\n 183→ error reporting in the LDAP authenticator\n 184→- **OIDC security hardening**: Stricter token validation and improved error handling\n 185→ in the OIDC authenticator\n 186→- **Auth schema extensions**: Additional schema fields for improved auth configuration\n 187→\n 188→### API improvements\n 189→\n 190→- **Role-based metric visibility**: Metrics can now have role-based access control\n 191→- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n 192→- **Improved error messages**: Better error messages and documentation in REST API\n 193→- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n 194→- **Stop job lookup order**: Reversed lookup order in stop job requests for\n 195→ more reliable job matching (cluster+jobId first, then jobId alone)\n 196→\n 197→### Performance\n 198→\n 199→- **Database indices**: Optimized SQLite indices for better query performance\n 200→- **Job cache**: Introduced caching table for faster job inserts\n 201→- **Parallel imports**: Archive imports now run in parallel where possible\n 202→- **External tool integration**: Optimized use of external tools (fd) for better performance\n 203→- **Node repository queries**: Reviewed and optimized node repository SQL queries\n 204→- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n 205→\n 206→### Developer experience\n 207→\n 208→- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n 209→- **Example API payloads**: Added example JSON API payloads for testing\n 210→- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n 211→- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n 212→ to avoid state pollution between test runs\n 213→- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n 214→\n 215→## Bug fixes\n 216→\n 217→- Fixed nodelist paging issues\n 218→- Fixed metric select drag and drop functionality\n 219→- Fixed render race conditions in nodeList\n 220→- Fixed tag count grouping including type\n 221→- Fixed wrong metricstore schema (missing comma)\n 222→- Fixed configuration issues causing shutdown hangs\n 223→- Fixed deadlock when NATS is not configured\n 224→- Fixed archive backend performance bugs\n 225→- Fixed continuous scroll buildup on refresh\n 226→- Improved footprint calculation logic\n 227→- Fixed polar plot data query decoupling\n 228→- Fixed missing resolution parameter handling\n 229→- Fixed node table initialization fallback\n 230→- Fixed reactivity key placement in nodeList\n 231→- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n 232→- Fixed job always being transferred to main job table before archiving\n 233→- Fixed AppTagger error handling and logging\n 234→- Fixed log endpoint formatting and correctness\n 235→- Fixed automatic refresh in metric status tab\n 236→- Fixed NULL value handling in `health_state` and `health_metrics` columns\n 237→- Fixed bugs related to `job_cache` IDs being used in the main job table\n 238→- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n 239→- Fixed 404 handler route for sub-routers\n 240→\n 241→## Configuration changes\n 242→\n 243→### New configuration options\n 244→\n 245→```json\n 246→{\n 247→ \"main\": {\n 248→ \"enable-job-taggers\": true,\n 249→ \"resampling\": {\n 250→ \"minimum-points\": 600,\n 251→ \"trigger\": 180,\n 252→ \"resolutions\": [240, 60]\n 253→ },\n 254→ \"api-subjects\": {\n 255→ \"subject-job-event\": \"cc.job.event\",\n 256→ \"subject-node-state\": \"cc.node.state\"\n 257→ }\n 258→ },\n 259→ \"nats\": {\n 260→ \"address\": \"nats://0.0.0.0:4222\",\n 261→ \"username\": \"root\",\n 262→ \"password\": \"root\"\n 263→ },\n 264→ \"cron\": {\n 265→ \"commit-job-worker\": \"1m\",\n 266→ \"duration-worker\": \"5m\",\n 267→ \"footprint-worker\": \"10m\"\n 268→ },\n 269→ \"metric-store\": {\n 270→ \"cleanup\": {\n 271→ \"mode\": \"archive\",\n 272→ \"interval\": \"48h\",\n 273→ \"directory\": \"./var/archive\"\n 274→ }\n 275→ },\n 276→ \"archive\": {\n 277→ \"retention\": {\n 278→ \"policy\": \"delete\",\n 279→ \"age\": \"6months\",\n 280→ \"target-format\": \"parquet\"\n 281→ }\n 282→ },\n 283→ \"nodestate\": {\n 284→ \"retention\": {\n 285→ \"policy\": \"archive\",\n 286→ \"age\": \"30d\",\n 287→ \"archive-path\": \"./var/nodestate-archive\"\n 288→ }\n 289→ }\n 290→}\n 291→```\n 292→\n 293→## Migration notes\n 294→\n 295→- Review and update your `config.json` to use kebab-case attribute names\n 296→- If using NATS, configure the new `nats` and `api-subjects` sections\n 297→- If using S3 archive backend, configure the new `archive` section options\n 298→- Test the new public dashboard at `/public` route\n 299→- Review cron worker configuration if you need different frequencies\n 300→- If using the archive retention feature, configure the `target-format` option\n 301→ to choose between `json` (default) and `parquet` output formats\n 302→- Consider enabling nodestate retention if you track node states over time\n 303→\n 304→## Known issues\n 305→\n 306→- The new dynamic memory management is not bullet proof yet across restarts. We\n 307→ will fix that in a subsequent patch release\n 308→- Currently energy footprint metrics of type energy are ignored for calculating\n 309→ total energy.\n 310→- With energy footprint metrics of type power the unit is ignored and it is\n 311→ assumed the metric has the unit Watt.\n 312→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"f6e09cc5-499f-4284-a4e4-f1eb67f7b57a","timestamp":"2026-03-13T05:19:55.758Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md","content":"# `cc-backend` version 1.5.1\n\nSupports job archive version 3 and database version 11.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 11)**: Optimized database index count for better performance\n- **ANALYZE on startup**: Database statistics are now refreshed on startup for improved query planning\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n }\n },\n \"archive\": {\n \"retention\": {\n \"policy\": \"delete\",\n \"age\": \"6months\",\n \"target-format\": \"parquet\"\n }\n },\n \"nodestate\": {\n \"retention\": {\n \"policy\": \"archive\",\n \"age\": \"30d\",\n \"archive-path\": \"./var/nodestate-archive\"\n }\n }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts. 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Add stats index. Add paging to user list.\nEntire-Checkpoint: d42431eee30d\n\n\n internal/graph/schema.resolvers.go | 23 +-\n internal/repository/migration.go | 3 +-\n .../sqlite3/12_stats-covering-index.down.sql | 1 +\n .../sqlite3/12_stats-covering-index.up.sql | 10 +\n internal/repository/stats.go | 302 ++++++++++-----------\n internal/repository/stats_test.go | 4 +-\n web/frontend/src/List.root.svelte | 24 +-\n 7 files changed, 193 insertions(+), 174 deletions(-)\n0e27624d73d018772ad38204dc3ae5274e8e8e19 Add flag to optimize db. Remove ANALYZE on startup.\nEntire-Checkpoint: d49917ff4b10\n\n\n cmd/cc-backend/cli.go | 3 ++-\n cmd/cc-backend/main.go | 14 ++++++++++++++\n internal/repository/dbConnection.go | 8 --------\n 3 files changed, 16 insertions(+), 9 deletions(-)\n8563ed5e08b2c149fef0955c10ee936a6d31ade9 fix: remove indices from migration 9\n- optimization migration 11 drops these indices, so rather not create them in the first place\n\n\n .../migrations/sqlite3/09_add-job-cache.up.sql | 39 ----------------------\n 1 file changed, 39 deletions(-)\n2d07bdf6b5d179850abd2d18c052785525d5d907 fix: add missing nullsafe in publicDash\n\n\n web/frontend/src/DashPublic.root.svelte | 8 ++++----\n 1 file changed, 4 insertions(+), 4 deletions(-)","is_error":false}]},"uuid":"66609928-6688-43b9-8fb4-04d65a906799","timestamp":"2026-03-13T05:20:08.093Z","toolUseResult":{"stdout":"3aacc669b685f81e2bdc74c7c54ab483679050fa Remove debug timer\n\n\n internal/graph/schema.resolvers.go | 24 +++++++++++++-----------\n 1 file changed, 13 insertions(+), 11 deletions(-)\n96fc44a64906f8331427c7d4c1f97c6e9010f3d1 fix: Optimize project stat query\n\n\n .../repository/migrations/sqlite3/12_stats-covering-index.up.sql | 5 +++--\n internal/repository/stats.go | 2 --\n 2 files changed, 3 insertions(+), 4 deletions(-)\n8e86e8720d49d6c0f3149e256ac2e50d3c28a9c1 Make stats query selective. Add stats index. Add paging to user list.\nEntire-Checkpoint: d42431eee30d\n\n\n internal/graph/schema.resolvers.go | 23 +-\n internal/repository/migration.go | 3 +-\n .../sqlite3/12_stats-covering-index.down.sql | 1 +\n .../sqlite3/12_stats-covering-index.up.sql | 10 +\n internal/repository/stats.go | 302 ++++++++++-----------\n internal/repository/stats_test.go | 4 +-\n web/frontend/src/List.root.svelte | 24 +-\n 7 files changed, 193 insertions(+), 174 deletions(-)\n0e27624d73d018772ad38204dc3ae5274e8e8e19 Add flag to optimize db. Remove ANALYZE on startup.\nEntire-Checkpoint: d49917ff4b10\n\n\n cmd/cc-backend/cli.go | 3 ++-\n cmd/cc-backend/main.go | 14 ++++++++++++++\n internal/repository/dbConnection.go | 8 --------\n 3 files changed, 16 insertions(+), 9 deletions(-)\n8563ed5e08b2c149fef0955c10ee936a6d31ade9 fix: remove indices from migration 9\n- optimization migration 11 drops these indices, so rather not create them in the first place\n\n\n .../migrations/sqlite3/09_add-job-cache.up.sql | 39 ----------------------\n 1 file changed, 39 deletions(-)\n2d07bdf6b5d179850abd2d18c052785525d5d907 fix: add missing nullsafe in publicDash\n\n\n web/frontend/src/DashPublic.root.svelte | 8 ++++----\n 1 file changed, 4 insertions(+), 4 deletions(-)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"0e886636-d2a6-4755-8e08-d651f0963899","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"33b625ac-af8f-4396-9483-775293f983e5","version":"2.1.74","gitBranch":"hotfix","slug":"spicy-humming-swan"} +{"parentUuid":"66609928-6688-43b9-8fb4-04d65a906799","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01BW8nWynFa73nMvCN66xfXP","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1335,"cache_read_input_tokens":23753,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1335},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzWu8PNYLfK3KUszFpaq","type":"assistant","uuid":"8f4489bc-12d6-4a15-a1d1-6772815e7121","timestamp":"2026-03-13T05:20:17.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"33b625ac-af8f-4396-9483-775293f983e5","version":"2.1.74","gitBranch":"hotfix","slug":"spicy-humming-swan"} +{"parentUuid":"8f4489bc-12d6-4a15-a1d1-6772815e7121","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01BW8nWynFa73nMvCN66xfXP","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. 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fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n }\n },\n \"archive\": {\n \"retention\": {\n \"policy\": \"delete\",\n \"age\": \"6months\",\n \"target-format\": \"parquet\"\n }\n },\n \"nodestate\": {\n \"retention\": {\n \"policy\": \"archive\",\n \"age\": \"30d\",\n \"archive-path\": \"./var/nodestate-archive\"\n }\n }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts. 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fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n }\n },\n \"archive\": {\n \"retention\": {\n \"policy\": \"delete\",\n \"age\": \"6months\",\n \"target-format\": \"parquet\"\n }\n },\n \"nodestate\": {\n \"retention\": {\n \"policy\": \"archive\",\n \"age\": \"30d\",\n \"archive-path\": \"./var/nodestate-archive\"\n }\n }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts. 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removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n }\n },\n \"archive\": {\n \"retention\": {\n \"policy\": \"delete\",\n \"age\": \"6months\",\n \"target-format\": \"parquet\"\n }\n },\n \"nodestate\": {\n \"retention\": {\n \"policy\": \"archive\",\n \"age\": \"30d\",\n \"archive-path\": \"./var/nodestate-archive\"\n }\n }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n\n## Known issues\n\n- The new dynamic memory 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session-start"},"parentToolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","toolUseID":"b00ef795-93ec-48c5-8adf-d49a96a2ed32","timestamp":"2026-03-16T10:12:34.962Z","uuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"62323b49-5343-4dbc-9e12-4595d1cbe76a","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/d36fdafb-27dd-4101-b89a-e2bec3f83825.jsonl"},"uuid":"0cc8876b-10ce-4edf-943f-0617397039d7","timestamp":"2026-03-16T10:12:34.796Z","planContent":"# Fix: SQLite Write Contention Causing OOM Crash\n\n## Context\n\nThe server crashes daily around 15:00-16:00 with OOM. Logs show \"database is locked\" errors and LDAP sync failures (`UNIQUE constraint failed: hpc_user.username`) shortly before the crash.\n\n**Root cause:** A burst of concurrent DB writers (NATS job start/stop, node state updates, LDAP sync, scheduled tasks) overwhelm SQLite's 5-second busy_timeout. Failed operations and blocked goroutines accumulate, consuming memory until OOM.\n\nThe cascade: burst of job events → DB contention → `SQLITE_BUSY` after 5s → error paths spawn retries/new goroutines → goroutine accumulation → OOM.\n\n---\n\n## Fix 1: Increase busy_timeout (contention relief)\n\n**File:** `internal/repository/dbConnection.go:73`\n\nChange `_busy_timeout` from `5000` to `60000` (60 seconds). Also make it configurable:\n\n**File:** `internal/repository/config.go` — add `BusyTimeoutMs int` field, default 60000.\n\n**File:** `internal/repository/dbConnection.go:73` — use `repoConfig.BusyTimeoutMs` instead of hardcoded value.\n\n**File:** `pkg/archive/sqliteBackend.go:105` — also change hardcoded `busy_timeout=5000` to `busy_timeout=60000`.\n\nWith 60s timeout, SQLite retries internally using its backoff mechanism rather than failing fast. This prevents the \"database is locked\" error cascade.\n\n---\n\n## Fix 2: Batch Node State Updates in a Transaction\n\nCurrently each node state update is a separate SELECT + INSERT (2 DB round-trips per node). A message with 1000 nodes = 2000+ individual DB operations, each acquiring/releasing the write lock.\n\n**File:** `internal/repository/node.go` — add `BatchUpdateNodeStates` method:\n- Accept a slice of `(hostname, cluster, nodeState)` tuples\n- Begin transaction\n- For each node: lookup ID (or insert node), then insert state — all within the same transaction\n- Commit once\n\n**File:** `internal/api/nats.go:348-364` (`processNodestateEvent`) — build slice of updates, call `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`.\n\n**File:** `internal/api/node.go:119-142` (`updateNodeStates`) — same change for the REST path. Note: the REST handler also does health checks per node before DB inserts, so batch only the DB part (the loop at lines 119-142).\n\nKeep the existing `UpdateNodeState` method for single-node use cases.\n\n---\n\n## Fix 3: Fix LDAP Sync Race Condition\n\nThe LDAP sync fails when a user is concurrently created by a login. The error is benign but causes `Sync()` to return early (line 215: `return err`), abandoning remaining users.\n\n**File:** `internal/repository/user.go` — add `AddUserIfNotExists` method using `INSERT OR IGNORE`:\n```go\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n rolesJson, _ := json.Marshal(user.Roles)\n projectsJson, _ := json.Marshal(user.Projects)\n cols := \"username, name, roles, projects, ldap\"\n _, err := r.DB.Exec(\n `INSERT OR IGNORE INTO hpc_user (` + cols + `) VALUES (?, ?, ?, ?, ?)`,\n user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n return err\n}\n```\n\n**File:** `internal/auth/ldap.go:213` — change `ur.AddUser(user)` to `ur.AddUserIfNotExists(user)`.\n\nNote: `AddUserIfNotExists` intentionally skips the deprecated default metrics config insertion that `AddUser` does — LDAP-synced users don't need it, and it adds unnecessary DB writes.\n\n---\n\n## Fix 4: Add Semaphore for NATS Handlers\n\nWithout rate limiting, blocked NATS handlers cause unbounded goroutine accumulation.\n\n**File:** `internal/api/nats.go` — add semaphores to `NatsAPI` struct:\n```go\ntype NatsAPI struct {\n JobRepository *repository.JobRepository\n RepositoryMutex sync.Mutex\n jobSem chan struct{}\n nodeSem chan struct{}\n}\n```\n\nInitialize in `NewNatsAPI`: `jobSem: make(chan struct{}, 8)`, `nodeSem: make(chan struct{}, 2)`.\n\nAdd acquire/release in `handleJobEvent` and `handleNodeState`:\n```go\napi.jobSem <- struct{}{}\ndefer func() { <-api.jobSem }()\n```\n\nThis caps concurrent NATS processing at 8 job events + 2 node state updates, preventing goroutine pile-up.\n\n---\n\n## Fix 5: Wrap SyncJobs in a Transaction\n\n**File:** `internal/repository/jobCreate.go:72-126` (`SyncJobs`)\n\nCurrently does SELECT + INSERT...SELECT + DELETE as 3 separate operations. Wrap in a DB transaction:\n- `tx, err := r.DB.Beginx()`\n- Run all three operations on `tx`\n- `tx.Commit()`\n- Do the read-only ID resolution outside the transaction\n\nThis reduces lock acquisitions from 3 to 1 and ensures atomicity.\n\n---\n\n## Implementation Order\n\n1. **Fix 1** (busy_timeout) — quick config change, biggest immediate impact\n2. **Fix 3** (LDAP sync) — eliminates error spam, trivial change\n3. **Fix 2** (batch node states) — biggest contention reduction\n4. **Fix 5** (SyncJobs transaction) — safety + minor contention reduction\n5. **Fix 4** (NATS semaphore) — defense in depth against goroutine accumulation\n\n---\n\n## Verification\n\n1. After Fix 1: Check logs for \"database is locked\" — should be gone or very rare.\n2. After Fix 2: check `Timer updateNodeStates, SQLite Inserts` log line — should be much faster.\n3. After Fix 3: check logs for \"UNIQUE constraint failed\" — should be gone.\n4. Run `go test ./internal/repository/... ./internal/api/... ./internal/auth/...` after all changes.\n5. Load test: simulate burst of 100+ concurrent job start/stop events + node state update with 500 nodes + LDAP sync running simultaneously. Monitor goroutine count and memory.\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0cc8876b-10ce-4edf-943f-0617397039d7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkBW59RCY6tGSB56nAGA//z3lRvJEDn5iJLOClMZGjxNRiWuAGiCmaIgNTdta1Sy/TNzx1kW0Sge7rGR/PxRSRnzEgxrFv+VHTFTR4clEKEaDKuKPoUxVzMZVaZOcCIwSK/bX+m7pbn9zNbcObjeGbtEDnVl0XG+IWu13/bGiaxsvKlev7b3kMGDZZMYJ4PDKnA+xKfCbHmkjIUA2GiAZssRADapW2wdfwvf2TjdNKGhvAUmpIn22yVZAzKMoknki+EsxETxurlV826f8SUVQWHw2gyAIAGvUmo50dlWOQyFl8FHykjapLmt1VYXaRxmaxdvoRGB6c2paNwsN0gPxnuWGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"05234723-9c30-4f6a-906f-0a704bf53634","timestamp":"2026-03-16T10:12:38.222Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"05234723-9c30-4f6a-906f-0a704bf53634","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"text","text":"I'll start by reading all the files that need to be modified."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"be91377f-2d87-4886-832a-0c3f66162a68","timestamp":"2026-03-16T10:12:38.666Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"be91377f-2d87-4886-832a-0c3f66162a68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","timestamp":"2026-03-16T10:12:39.531Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","toolUseID":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","timestamp":"2026-03-16T10:12:39.545Z","uuid":"9a0f39be-6570-40f2-ac77-182757e68941","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"0e3b4b9e-99f8-48be-903e-a49279316f25","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzRH5T8DTsP1Dn1zhjYuLh","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"fmt\"\n 11→\t\"net/url\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/jmoiron/sqlx\"\n 17→\t\"github.com/mattn/go-sqlite3\"\n 18→\t\"github.com/qustavo/sqlhooks/v2\"\n 19→)\n 20→\n 21→var (\n 22→\tdbConnOnce sync.Once\n 23→\tdbConnInstance *DBConnection\n 24→)\n 25→\n 26→type DBConnection struct {\n 27→\tDB *sqlx.DB\n 28→\tDriver string\n 29→}\n 30→\n 31→type DatabaseOptions struct {\n 32→\tURL string\n 33→\tMaxOpenConnections int\n 34→\tMaxIdleConnections int\n 35→\tConnectionMaxLifetime time.Duration\n 36→\tConnectionMaxIdleTime time.Duration\n 37→}\n 38→\n 39→func setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n 40→\tpragmas := []string{\n 41→\t\t\"temp_store = memory\",\n 42→\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n 43→\t}\n 44→\n 45→\tfor _, pragma := range pragmas {\n 46→\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n 47→\t\tif err != nil {\n 48→\t\t\treturn err\n 49→\t\t}\n 50→\t}\n 51→\n 52→\treturn nil\n 53→}\n 54→\n 55→func Connect(db string) {\n 56→\tvar err error\n 57→\tvar dbHandle *sqlx.DB\n 58→\n 59→\tdbConnOnce.Do(func() {\n 60→\t\topts := DatabaseOptions{\n 61→\t\t\tURL: db,\n 62→\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n 63→\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n 64→\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n 65→\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n 66→\t\t}\n 67→\n 68→\t\t// TODO: Have separate DB handles for Writes and Reads\n 69→\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n 70→\t\tconnectionURLParams := make(url.Values)\n 71→\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n 72→\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n 73→\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n 74→\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n 75→\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n 76→\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n 77→\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n 78→\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n 79→\n 80→\t\tif cclog.Loglevel() == \"debug\" {\n 81→\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n 82→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n 83→\t\t} else {\n 84→\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n 85→\t\t}\n 86→\n 87→\t\tif err != nil {\n 88→\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n 89→\t\t}\n 90→\n 91→\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n 92→\t\tif err != nil {\n 93→\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n 94→\t\t}\n 95→\n 96→\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n 97→\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n 98→\n 99→\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n 100→\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n 101→\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n 102→\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n 103→\n 104→\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n 105→\t\terr = checkDBVersion(dbHandle.DB)\n 106→\t\tif err != nil {\n 107→\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n 108→\t\t}\n 109→\t})\n 110→}\n 111→\n 112→func GetConnection() *DBConnection {\n 113→\tif dbConnInstance == nil {\n 114→\t\tcclog.Fatalf(\"Database connection not initialized!\")\n 115→\t}\n 116→\n 117→\treturn dbConnInstance\n 118→}\n 119→\n 120→// ResetConnection closes the current database connection and resets the connection state.\n 121→// This function is intended for testing purposes only to allow test isolation.\n 122→func ResetConnection() error {\n 123→\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n 124→\t\tif err := dbConnInstance.DB.Close(); err != nil {\n 125→\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n 126→\t\t}\n 127→\t}\n 128→\n 129→\tdbConnInstance = nil\n 130→\tdbConnOnce = sync.Once{}\n 131→\tjobRepoInstance = nil\n 132→\tjobRepoOnce = sync.Once{}\n 133→\tnodeRepoInstance = nil\n 134→\tnodeRepoOnce = sync.Once{}\n 135→\tuserRepoInstance = nil\n 136→\tuserRepoOnce = sync.Once{}\n 137→\tuserCfgRepoInstance = nil\n 138→\tuserCfgRepoOnce = sync.Once{}\n 139→\n 140→\treturn nil\n 141→}\n 142→"}]},"uuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","timestamp":"2026-03-16T10:12:39.544Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/dbConnection.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","numLines":142,"startLine":1,"totalLines":142}},"sourceToolAssistantUUID":"0e3b4b9e-99f8-48be-903e-a49279316f25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"053ca6d0-ed8d-4c44-8b34-5684b920c55c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012orF9pg72YJWFiTr5U3zzS","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","timestamp":"2026-03-16T10:12:40.037Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012orF9pg72YJWFiTr5U3zzS","toolUseID":"toolu_012orF9pg72YJWFiTr5U3zzS","timestamp":"2026-03-16T10:12:40.045Z","uuid":"6db8547c-bb54-48b0-9773-cad21dff17bf","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"352d7440-d01b-4d22-bd9c-3f56616211e2","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012orF9pg72YJWFiTr5U3zzS","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import \"time\"\n 9→\n 10→// RepositoryConfig holds configuration for repository operations.\n 11→// All fields have sensible defaults, so this configuration is optional.\n 12→type RepositoryConfig struct {\n 13→\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n 14→\t// Default: 1MB (1024 * 1024 bytes)\n 15→\tCacheSize int\n 16→\n 17→\t// MaxOpenConnections is the maximum number of open database connections.\n 18→\t// Default: 4\n 19→\tMaxOpenConnections int\n 20→\n 21→\t// MaxIdleConnections is the maximum number of idle database connections.\n 22→\t// Default: 4\n 23→\tMaxIdleConnections int\n 24→\n 25→\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n 26→\t// Default: 1 hour\n 27→\tConnectionMaxLifetime time.Duration\n 28→\n 29→\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n 30→\t// Default: 10 minutes\n 31→\tConnectionMaxIdleTime time.Duration\n 32→\n 33→\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n 34→\t// considered in \"running jobs\" queries. This filters out very short jobs.\n 35→\t// Default: 600 seconds (10 minutes)\n 36→\tMinRunningJobDuration int\n 37→\n 38→\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n 39→\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n 40→\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n 41→\t// Default: 2048 (2GB)\n 42→\tDbCacheSizeMB int\n 43→\n 44→\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n 45→\t// SQLite will try to release cache pages to stay under this limit.\n 46→\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n 47→\t// Default: 16384 (16GB)\n 48→\tDbSoftHeapLimitMB int\n 49→}\n 50→\n 51→// DefaultConfig returns the default repository configuration.\n 52→// These values are optimized for typical deployments.\n 53→func DefaultConfig() *RepositoryConfig {\n 54→\treturn &RepositoryConfig{\n 55→\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n 56→\t\tMaxOpenConnections: 4,\n 57→\t\tMaxIdleConnections: 4,\n 58→\t\tConnectionMaxLifetime: time.Hour,\n 59→\t\tConnectionMaxIdleTime: 10 * time.Minute,\n 60→\t\tMinRunningJobDuration: 600, // 10 minutes\n 61→\t\tDbCacheSizeMB: 2048, // 2GB per connection\n 62→\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n 63→\t}\n 64→}\n 65→\n 66→// repoConfig is the package-level configuration instance.\n 67→// It is initialized with defaults and can be overridden via SetConfig.\n 68→var repoConfig *RepositoryConfig = DefaultConfig()\n 69→\n 70→// SetConfig sets the repository configuration.\n 71→// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n 72→// If not called, default values from DefaultConfig() are used.\n 73→func SetConfig(cfg *RepositoryConfig) {\n 74→\tif cfg != nil {\n 75→\t\trepoConfig = cfg\n 76→\t}\n 77→}\n 78→\n 79→// GetConfig returns the current repository configuration.\n 80→func GetConfig() *RepositoryConfig {\n 81→\treturn repoConfig\n 82→}\n 83→"}]},"uuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","timestamp":"2026-03-16T10:12:40.045Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. This filters out very short jobs.\n\t// Default: 600 seconds (10 minutes)\n\tMinRunningJobDuration int\n\n\t// DbCacheSizeMB is the SQLite page cache size per connection in MB.\n\t// Uses negative PRAGMA cache_size notation (KiB). With MaxOpenConnections=4\n\t// and DbCacheSizeMB=2048, total page cache is up to 8GB.\n\t// Default: 2048 (2GB)\n\tDbCacheSizeMB int\n\n\t// DbSoftHeapLimitMB is the process-wide SQLite soft heap limit in MB.\n\t// SQLite will try to release cache pages to stay under this limit.\n\t// It's a soft limit — queries won't fail, but cache eviction becomes more aggressive.\n\t// Default: 16384 (16GB)\n\tDbSoftHeapLimitMB int\n}\n\n// DefaultConfig returns the default repository configuration.\n// These values are optimized for typical deployments.\nfunc DefaultConfig() *RepositoryConfig {\n\treturn &RepositoryConfig{\n\t\tCacheSize: 1 * 1024 * 1024, // 1MB\n\t\tMaxOpenConnections: 4,\n\t\tMaxIdleConnections: 4,\n\t\tConnectionMaxLifetime: time.Hour,\n\t\tConnectionMaxIdleTime: 10 * time.Minute,\n\t\tMinRunningJobDuration: 600, // 10 minutes\n\t\tDbCacheSizeMB: 2048, // 2GB per connection\n\t\tDbSoftHeapLimitMB: 16384, // 16GB process-wide\n\t}\n}\n\n// repoConfig is the package-level configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","numLines":83,"startLine":1,"totalLines":83}},"sourceToolAssistantUUID":"352d7440-d01b-4d22-bd9c-3f56616211e2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"85257af6-41af-4431-9199-d7d5cd1f1c06","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","timestamp":"2026-03-16T10:12:40.450Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ApteHWPiKLmA7YP4uFfRyv","toolUseID":"toolu_01ApteHWPiKLmA7YP4uFfRyv","timestamp":"2026-03-16T10:12:40.472Z","uuid":"e613e3e6-6827-412b-aa59-db18bca3b3b3","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ApteHWPiKLmA7YP4uFfRyv","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package archive\n 7→\n 8→import (\n 9→\t\"bytes\"\n 10→\t\"compress/gzip\"\n 11→\t\"database/sql\"\n 12→\t\"encoding/json\"\n 13→\t\"fmt\"\n 14→\t\"io\"\n 15→\t\"math\"\n 16→\t\"os\"\n 17→\t\"slices\"\n 18→\t\"strconv\"\n 19→\t\"sync\"\n 20→\t\"text/tabwriter\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 25→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 26→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 27→\t_ \"github.com/mattn/go-sqlite3\"\n 28→)\n 29→\n 30→// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\n 31→type SqliteArchiveConfig struct {\n 32→\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n 33→}\n 34→\n 35→// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n 36→// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n 37→//\n 38→// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\n 39→type SqliteArchive struct {\n 40→\tdb *sql.DB // SQLite database connection\n 41→\tclusters []string // List of discovered cluster names\n 42→}\n 43→\n 44→// sqliteSchema defines the database schema for SQLite archive backend.\n 45→// Jobs table: stores job metadata and data as BLOBs with compression flag\n 46→// Clusters table: stores cluster configurations\n 47→// Metadata table: stores version and other key-value pairs\n 48→const sqliteSchema = `\n 49→CREATE TABLE IF NOT EXISTS jobs (\n 50→ id INTEGER PRIMARY KEY AUTOINCREMENT,\n 51→ job_id INTEGER NOT NULL,\n 52→ cluster TEXT NOT NULL,\n 53→ start_time INTEGER NOT NULL,\n 54→ meta_json BLOB NOT NULL,\n 55→ data_json BLOB,\n 56→ data_compressed BOOLEAN DEFAULT 0,\n 57→ created_at INTEGER NOT NULL,\n 58→ updated_at INTEGER NOT NULL,\n 59→ UNIQUE(job_id, cluster, start_time)\n 60→);\n 61→\n 62→CREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\n 63→CREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\n 64→CREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\n 65→CREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n 66→\n 67→CREATE TABLE IF NOT EXISTS clusters (\n 68→ name TEXT PRIMARY KEY,\n 69→ config_json BLOB NOT NULL,\n 70→ updated_at INTEGER NOT NULL\n 71→);\n 72→\n 73→CREATE TABLE IF NOT EXISTS metadata (\n 74→ key TEXT PRIMARY KEY,\n 75→ value TEXT NOT NULL\n 76→);\n 77→`\n 78→\n 79→func (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n 80→\tvar cfg SqliteArchiveConfig\n 81→\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n 82→\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n 83→\t\treturn 0, err\n 84→\t}\n 85→\n 86→\tif cfg.DBPath == \"\" {\n 87→\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n 88→\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n 89→\t\treturn 0, err\n 90→\t}\n 91→\n 92→\t// Open SQLite database\n 93→\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n 94→\tif err != nil {\n 95→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n 96→\t\treturn 0, err\n 97→\t}\n 98→\tsa.db = db\n 99→\n 100→\t// Set pragmas for better performance\n 101→\tpragmas := []string{\n 102→\t\t\"PRAGMA journal_mode=WAL\",\n 103→\t\t\"PRAGMA synchronous=NORMAL\",\n 104→\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n 105→\t\t\"PRAGMA busy_timeout=5000\",\n 106→\t}\n 107→\tfor _, pragma := range pragmas {\n 108→\t\tif _, err := sa.db.Exec(pragma); err != nil {\n 109→\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n 110→\t\t}\n 111→\t}\n 112→\n 113→\t// Create schema\n 114→\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n 115→\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n 116→\t\treturn 0, err\n 117→\t}\n 118→\n 119→\t// Check/set version\n 120→\tvar versionStr string\n 121→\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n 122→\tif err == sql.ErrNoRows {\n 123→\t\t// First time initialization, set version\n 124→\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n 125→\t\tif err != nil {\n 126→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n 127→\t\t\treturn 0, err\n 128→\t\t}\n 129→\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n 130→\t} else if err != nil {\n 131→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n 132→\t\treturn 0, err\n 133→\t}\n 134→\n 135→\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n 136→\tif err != nil {\n 137→\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n 138→\t\treturn 0, err\n 139→\t}\n 140→\n 141→\tif version != Version {\n 142→\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n 143→\t}\n 144→\n 145→\t// Discover clusters\n 146→\tsa.clusters = []string{}\n 147→\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n 148→\tif err != nil {\n 149→\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n 150→\t\treturn 0, err\n 151→\t}\n 152→\tdefer rows.Close()\n 153→\n 154→\tfor rows.Next() {\n 155→\t\tvar cluster string\n 156→\t\tif err := rows.Scan(&cluster); err != nil {\n 157→\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n 158→\t\t\tcontinue\n 159→\t\t}\n 160→\t\tsa.clusters = append(sa.clusters, cluster)\n 161→\t}\n 162→\n 163→\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n 164→\treturn version, nil\n 165→}\n 166→\n 167→func (sa *SqliteArchive) Info() {\n 168→\tfmt.Printf(\"SQLite Job archive database\\n\")\n 169→\n 170→\tci := make(map[string]*clusterInfo)\n 171→\n 172→\trows, err := sa.db.Query(`\n 173→\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n 174→\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n 175→\t\tFROM jobs\n 176→\t\tGROUP BY cluster\n 177→\t`)\n 178→\tif err != nil {\n 179→\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n 180→\t}\n 181→\tdefer rows.Close()\n 182→\n 183→\tfor rows.Next() {\n 184→\t\tvar cluster string\n 185→\t\tvar numJobs int\n 186→\t\tvar dateFirst, dateLast int64\n 187→\t\tvar diskSize int64\n 188→\n 189→\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n 190→\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n 191→\t\t\tcontinue\n 192→\t\t}\n 193→\n 194→\t\tci[cluster] = &clusterInfo{\n 195→\t\t\tnumJobs: numJobs,\n 196→\t\t\tdateFirst: dateFirst,\n 197→\t\t\tdateLast: dateLast,\n 198→\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n 199→\t\t}\n 200→\t}\n 201→\n 202→\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n 203→\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n 204→\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n 205→\tfor cluster, clusterInfo := range ci {\n 206→\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n 207→\t\t\tclusterInfo.numJobs,\n 208→\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n 209→\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n 210→\t\t\tclusterInfo.diskSize)\n 211→\n 212→\t\tcit.numJobs += clusterInfo.numJobs\n 213→\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n 214→\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n 215→\t\tcit.diskSize += clusterInfo.diskSize\n 216→\t}\n 217→\n 218→\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n 219→\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n 220→\tw.Flush()\n 221→}\n 222→\n 223→func (sa *SqliteArchive) Exists(job *schema.Job) bool {\n 224→\tvar count int\n 225→\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 226→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n 227→\treturn err == nil && count > 0\n 228→}\n 229→\n 230→func (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n 231→\tvar metaBlob []byte\n 232→\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 233→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n 234→\tif err != nil {\n 235→\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n 236→\t\treturn nil, err\n 237→\t}\n 238→\n 239→\tif config.Keys.Validate {\n 240→\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n 241→\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n 242→\t\t}\n 243→\t}\n 244→\n 245→\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n 246→}\n 247→\n 248→func (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n 249→\tvar dataBlob []byte\n 250→\tvar compressed bool\n 251→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 252→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 253→\tif err != nil {\n 254→\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n 255→\t\treturn nil, err\n 256→\t}\n 257→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 258→\n 259→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n 260→\tif compressed {\n 261→\t\tgzipReader, err := gzip.NewReader(reader)\n 262→\t\tif err != nil {\n 263→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n 264→\t\t\treturn nil, err\n 265→\t\t}\n 266→\t\tdefer gzipReader.Close()\n 267→\t\treader = gzipReader\n 268→\t}\n 269→\n 270→\tif config.Keys.Validate {\n 271→\t\tdata, _ := io.ReadAll(reader)\n 272→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n 273→\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n 274→\t\t}\n 275→\t\treturn DecodeJobData(bytes.NewReader(data), key)\n 276→\t}\n 277→\n 278→\treturn DecodeJobData(reader, key)\n 279→}\n 280→\n 281→func (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n 282→\tvar dataBlob []byte\n 283→\tvar compressed bool\n 284→\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 285→\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 286→\tif err != nil {\n 287→\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n 288→\t\treturn nil, err\n 289→\t}\n 290→\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 291→\n 292→\tvar reader io.Reader = bytes.NewReader(dataBlob)\n 293→\tif compressed {\n 294→\t\tgzipReader, err := gzip.NewReader(reader)\n 295→\t\tif err != nil {\n 296→\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n 297→\t\t\treturn nil, err\n 298→\t\t}\n 299→\t\tdefer gzipReader.Close()\n 300→\t\treader = gzipReader\n 301→\t}\n 302→\n 303→\tif config.Keys.Validate {\n 304→\t\tdata, _ := io.ReadAll(reader)\n 305→\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n 306→\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n 307→\t\t}\n 308→\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n 309→\t}\n 310→\n 311→\treturn DecodeJobStats(reader, key)\n 312→}\n 313→\n 314→func (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n 315→\tvar configBlob []byte\n 316→\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n 317→\tif err != nil {\n 318→\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n 319→\t\treturn nil, err\n 320→\t}\n 321→\n 322→\tif config.Keys.Validate {\n 323→\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n 324→\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n 325→\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n 326→\t\t}\n 327→\t}\n 328→\n 329→\treturn DecodeCluster(bytes.NewReader(configBlob))\n 330→}\n 331→\n 332→func (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n 333→\tvar metaBuf bytes.Buffer\n 334→\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n 335→\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n 336→\t\treturn err\n 337→\t}\n 338→\n 339→\tnow := time.Now().Unix()\n 340→\t_, err := sa.db.Exec(`\n 341→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n 342→\t\tVALUES (?, ?, ?, ?, ?, ?)\n 343→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n 344→\t\t\tmeta_json = excluded.meta_json,\n 345→\t\t\tupdated_at = excluded.updated_at\n 346→\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n 347→\tif err != nil {\n 348→\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n 349→\t\treturn err\n 350→\t}\n 351→\n 352→\treturn nil\n 353→}\n 354→\n 355→func (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n 356→\tvar metaBuf, dataBuf bytes.Buffer\n 357→\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n 358→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n 359→\t\treturn err\n 360→\t}\n 361→\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n 362→\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n 363→\t\treturn err\n 364→\t}\n 365→\n 366→\tvar dataBytes []byte\n 367→\tvar compressed bool\n 368→\n 369→\tif dataBuf.Len() > 2000 {\n 370→\t\tvar compressedBuf bytes.Buffer\n 371→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n 372→\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n 373→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n 374→\t\t\treturn err\n 375→\t\t}\n 376→\t\tif err := gzipWriter.Close(); err != nil {\n 377→\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n 378→\t\t\treturn err\n 379→\t\t}\n 380→\t\tdataBytes = compressedBuf.Bytes()\n 381→\t\tcompressed = true\n 382→\t} else {\n 383→\t\tdataBytes = dataBuf.Bytes()\n 384→\t\tcompressed = false\n 385→\t}\n 386→\n 387→\tnow := time.Now().Unix()\n 388→\t_, err := sa.db.Exec(`\n 389→\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n 390→\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n 391→\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n 392→\t\t\tmeta_json = excluded.meta_json,\n 393→\t\t\tdata_json = excluded.data_json,\n 394→\t\t\tdata_compressed = excluded.data_compressed,\n 395→\t\t\tupdated_at = excluded.updated_at\n 396→\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n 397→\tif err != nil {\n 398→\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n 399→\t\treturn err\n 400→\t}\n 401→\n 402→\treturn nil\n 403→}\n 404→\n 405→func (sa *SqliteArchive) GetClusters() []string {\n 406→\treturn sa.clusters\n 407→}\n 408→\n 409→func (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n 410→\tstart := time.Now()\n 411→\tcount := 0\n 412→\n 413→\ttx, err := sa.db.Begin()\n 414→\tif err != nil {\n 415→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n 416→\t\treturn\n 417→\t}\n 418→\tdefer tx.Rollback()\n 419→\n 420→\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n 421→\tif err != nil {\n 422→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n 423→\t\treturn\n 424→\t}\n 425→\tdefer stmt.Close()\n 426→\n 427→\tfor _, job := range jobs {\n 428→\t\tif job == nil {\n 429→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n 430→\t\t\tcontinue\n 431→\t\t}\n 432→\n 433→\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n 434→\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n 435→\t\t} else {\n 436→\t\t\tcount++\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tif err := tx.Commit(); err != nil {\n 441→\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n 442→\t\treturn\n 443→\t}\n 444→\n 445→\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n 446→}\n 447→\n 448→func (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n 449→\t// For SQLite, \"move\" means updating the cluster field or similar\n 450→\t// This is interpretation-dependent; for now we'll just log\n 451→\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n 452→}\n 453→\n 454→func (sa *SqliteArchive) Clean(before int64, after int64) {\n 455→\tif after == 0 {\n 456→\t\tafter = math.MaxInt64\n 457→\t}\n 458→\n 459→\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n 460→\tif err != nil {\n 461→\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n 462→\t}\n 463→\n 464→\trowsAffected, _ := result.RowsAffected()\n 465→\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n 466→}\n 467→\n 468→func (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n 469→\tvar cnt int\n 470→\tstart := time.Now()\n 471→\n 472→\ttx, err := sa.db.Begin()\n 473→\tif err != nil {\n 474→\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n 475→\t\treturn\n 476→\t}\n 477→\tdefer tx.Rollback()\n 478→\n 479→\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n 480→\tif err != nil {\n 481→\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n 482→\t\treturn\n 483→\t}\n 484→\tdefer stmt.Close()\n 485→\n 486→\tfor _, job := range jobs {\n 487→\t\tvar dataBlob []byte\n 488→\t\tvar compressed bool\n 489→\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n 490→\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n 491→\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n 492→\t\t\tcontinue // Skip if error, already compressed, or too small\n 493→\t\t}\n 494→\n 495→\t\t// Compress the data\n 496→\t\tvar compressedBuf bytes.Buffer\n 497→\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n 498→\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n 499→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n 500→\t\t\tgzipWriter.Close()\n 501→\t\t\tcontinue\n 502→\t\t}\n 503→\t\tgzipWriter.Close()\n 504→\n 505→\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n 506→\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n 507→\t\t} else {\n 508→\t\t\tcnt++\n 509→\t\t}\n 510→\t}\n 511→\n 512→\tif err := tx.Commit(); err != nil {\n 513→\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n 514→\t\treturn\n 515→\t}\n 516→\n 517→\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n 518→}\n 519→\n 520→func (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n 521→\tvar lastStr string\n 522→\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n 523→\n 524→\tvar last int64\n 525→\tif err == sql.ErrNoRows {\n 526→\t\tlast = starttime\n 527→\t} else if err != nil {\n 528→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n 529→\t\tlast = starttime\n 530→\t} else {\n 531→\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n 532→\t\tif err != nil {\n 533→\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n 534→\t\t\tlast = starttime\n 535→\t\t}\n 536→\t}\n 537→\n 538→\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n 539→\n 540→\t// Update timestamp\n 541→\t_, err = sa.db.Exec(`\n 542→\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n 543→\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n 544→\t`, fmt.Sprintf(\"%d\", starttime))\n 545→\tif err != nil {\n 546→\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n 547→\t}\n 548→\n 549→\treturn last\n 550→}\n 551→\n 552→type sqliteJobRow struct {\n 553→\tmetaBlob []byte\n 554→\tdataBlob []byte\n 555→\tcompressed bool\n 556→}\n 557→\n 558→func (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n 559→\tch := make(chan JobContainer)\n 560→\n 561→\tgo func() {\n 562→\t\tdefer close(ch)\n 563→\n 564→\t\tconst chunkSize = 1000\n 565→\t\toffset := 0\n 566→\n 567→\t\tvar query string\n 568→\t\tif loadMetricData {\n 569→\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n 570→\t\t} else {\n 571→\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n 572→\t\t}\n 573→\n 574→\t\tnumWorkers := 4\n 575→\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n 576→\t\tvar wg sync.WaitGroup\n 577→\n 578→\t\tfor range numWorkers {\n 579→\t\t\twg.Go(func() {\n 580→\t\t\t\tfor row := range jobRows {\n 581→\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n 582→\t\t\t\t\tif err != nil {\n 583→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n 584→\t\t\t\t\t\tcontinue\n 585→\t\t\t\t\t}\n 586→\n 587→\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n 588→\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n 589→\t\t\t\t\t\tif row.compressed {\n 590→\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n 591→\t\t\t\t\t\t\tif err != nil {\n 592→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n 593→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 594→\t\t\t\t\t\t\t\tcontinue\n 595→\t\t\t\t\t\t\t}\n 596→\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n 597→\t\t\t\t\t\t\tgzipReader.Close()\n 598→\t\t\t\t\t\t\tif err != nil {\n 599→\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n 600→\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 601→\t\t\t\t\t\t\t\tcontinue\n 602→\t\t\t\t\t\t\t}\n 603→\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n 604→\t\t\t\t\t\t}\n 605→\n 606→\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n 607→\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n 608→\t\t\t\t\t\tif err != nil {\n 609→\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n 610→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 611→\t\t\t\t\t\t} else {\n 612→\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n 613→\t\t\t\t\t\t}\n 614→\t\t\t\t\t} else {\n 615→\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n 616→\t\t\t\t\t}\n 617→\t\t\t\t}\n 618→\t\t\t})\n 619→\t\t}\n 620→\n 621→\t\tfor {\n 622→\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n 623→\t\t\tif err != nil {\n 624→\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n 625→\t\t\t}\n 626→\n 627→\t\t\trowCount := 0\n 628→\t\t\tfor rows.Next() {\n 629→\t\t\t\tvar row sqliteJobRow\n 630→\n 631→\t\t\t\tif loadMetricData {\n 632→\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n 633→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n 634→\t\t\t\t\t\tcontinue\n 635→\t\t\t\t\t}\n 636→\t\t\t\t} else {\n 637→\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n 638→\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n 639→\t\t\t\t\t\tcontinue\n 640→\t\t\t\t\t}\n 641→\t\t\t\t\trow.dataBlob = nil\n 642→\t\t\t\t\trow.compressed = false\n 643→\t\t\t\t}\n 644→\n 645→\t\t\t\tjobRows <- row\n 646→\t\t\t\trowCount++\n 647→\t\t\t}\n 648→\t\t\trows.Close()\n 649→\n 650→\t\t\tif rowCount < chunkSize {\n 651→\t\t\t\tbreak\n 652→\t\t\t}\n 653→\n 654→\t\t\toffset += chunkSize\n 655→\t\t}\n 656→\n 657→\t\tclose(jobRows)\n 658→\t\twg.Wait()\n 659→\t}()\n 660→\n 661→\treturn ch\n 662→}\n 663→\n 664→func (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n 665→\tvar configBuf bytes.Buffer\n 666→\tif err := EncodeCluster(&configBuf, config); err != nil {\n 667→\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n 668→\t\treturn err\n 669→\t}\n 670→\n 671→\tnow := time.Now().Unix()\n 672→\t_, err := sa.db.Exec(`\n 673→\t\tINSERT INTO clusters (name, config_json, updated_at)\n 674→\t\tVALUES (?, ?, ?)\n 675→\t\tON CONFLICT(name) DO UPDATE SET\n 676→\t\t\tconfig_json = excluded.config_json,\n 677→\t\t\tupdated_at = excluded.updated_at\n 678→\t`, name, configBuf.Bytes(), now)\n 679→\tif err != nil {\n 680→\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n 681→\t\treturn err\n 682→\t}\n 683→\n 684→\t// Update clusters list if new\n 685→\tfound := slices.Contains(sa.clusters, name)\n 686→\tif !found {\n 687→\t\tsa.clusters = append(sa.clusters, name)\n 688→\t}\n 689→\n 690→\treturn nil\n 691→}\n 692→"}]},"uuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","timestamp":"2026-03-16T10:12:40.468Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb *sql.DB // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n job_id INTEGER NOT NULL,\n cluster TEXT NOT NULL,\n start_time INTEGER NOT NULL,\n meta_json BLOB NOT NULL,\n data_json BLOB,\n data_compressed BOOLEAN DEFAULT 0,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL,\n UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n name TEXT PRIMARY KEY,\n config_json BLOB NOT NULL,\n updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n key TEXT PRIMARY KEY,\n value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs: numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast: dateLast,\n\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob []byte\n\tdataBlob []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","numLines":692,"startLine":1,"totalLines":692}},"sourceToolAssistantUUID":"641c9a76-91d8-4156-a19d-7ccb6d93cf69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d78c0aa3-68bb-42dc-8267-533056b05e92","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RUChJr4277fRqYrmyucysh","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","timestamp":"2026-03-16T10:12:40.900Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RUChJr4277fRqYrmyucysh","toolUseID":"toolu_01RUChJr4277fRqYrmyucysh","timestamp":"2026-03-16T10:12:41.123Z","uuid":"bd8768f9-8c15-4589-8610-5850b4638227","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RUChJr4277fRqYrmyucysh","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"encoding/json\"\n 12→\t\"fmt\"\n 13→\t\"slices\"\n 14→\t\"sort\"\n 15→\t\"strings\"\n 16→\t\"sync\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tsq \"github.com/Masterminds/squirrel\"\n 25→\t\"github.com/jmoiron/sqlx\"\n 26→)\n 27→\n 28→var (\n 29→\tnodeRepoOnce sync.Once\n 30→\tnodeRepoInstance *NodeRepository\n 31→)\n 32→\n 33→type NodeRepository struct {\n 34→\tDB *sqlx.DB\n 35→\tstmtCache *sq.StmtCache\n 36→\tcache *lrucache.Cache\n 37→\tdriver string\n 38→}\n 39→\n 40→func GetNodeRepository() *NodeRepository {\n 41→\tnodeRepoOnce.Do(func() {\n 42→\t\tdb := GetConnection()\n 43→\n 44→\t\tnodeRepoInstance = &NodeRepository{\n 45→\t\t\tDB: db.DB,\n 46→\t\t\tdriver: db.Driver,\n 47→\n 48→\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n 49→\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n 50→\t\t}\n 51→\t})\n 52→\treturn nodeRepoInstance\n 53→}\n 54→\n 55→// latestStateCondition returns a squirrel expression that restricts node_state\n 56→// rows to the latest per node_id using a correlated subquery.\n 57→// Requires the query to join node and node_state tables.\n 58→func latestStateCondition() sq.Sqlizer {\n 59→\treturn sq.Expr(\n 60→\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n 61→\t)\n 62→}\n 63→\n 64→// applyNodeFilters applies common NodeFilter conditions to a query that joins\n 65→// the node and node_state tables with latestStateCondition.\n 66→func applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n 67→\tfor _, f := range filters {\n 68→\t\tif f.Cluster != nil {\n 69→\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n 70→\t\t}\n 71→\t\tif f.SubCluster != nil {\n 72→\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n 73→\t\t}\n 74→\t\tif f.Hostname != nil {\n 75→\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n 76→\t\t}\n 77→\t\tif f.SchedulerState != nil {\n 78→\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n 79→\t\t}\n 80→\t\tif f.HealthState != nil {\n 81→\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n 82→\t\t}\n 83→\t}\n 84→\treturn query\n 85→}\n 86→\n 87→func (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n 88→\tstart := time.Now()\n 89→\n 90→\tRawMetaData := make([]byte, 0)\n 91→\n 92→\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n 93→\t\tWhere(\"node.hostname = ?\", hostname).\n 94→\t\tWhere(\"node.cluster = ?\", cluster).\n 95→\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n 96→\t\tcclog.Warn(\"Error while scanning for node metadata\")\n 97→\t\treturn nil, err\n 98→\t}\n 99→\n 100→\tif len(RawMetaData) == 0 {\n 101→\t\treturn nil, nil\n 102→\t}\n 103→\n 104→\tMetaData := make(map[string]string)\n 105→\n 106→\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n 107→\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 108→\t\treturn nil, err\n 109→\t}\n 110→\n 111→\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n 112→\treturn MetaData, nil\n 113→}\n 114→\n 115→func (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n 116→\tnode := &schema.Node{}\n 117→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 118→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 119→\t\tFrom(\"node\").\n 120→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 121→\t\tWhere(latestStateCondition()).\n 122→\t\tWhere(\"node.hostname = ?\", hostname).\n 123→\t\tWhere(\"node.cluster = ?\", cluster).\n 124→\t\tRunWith(r.DB).\n 125→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 126→\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n 127→\t\treturn nil, err\n 128→\t}\n 129→\n 130→\tif withMeta {\n 131→\t\tvar err error\n 132→\t\tvar meta map[string]string\n 133→\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n 134→\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n 135→\t\t\treturn nil, err\n 136→\t\t}\n 137→\t\tnode.MetaData = meta\n 138→\t}\n 139→\n 140→\treturn node, nil\n 141→}\n 142→\n 143→func (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n 144→\tnode := &schema.Node{}\n 145→\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 146→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 147→\t\tFrom(\"node\").\n 148→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 149→\t\tWhere(latestStateCondition()).\n 150→\t\tWhere(\"node.id = ?\", id).\n 151→\t\tRunWith(r.DB).\n 152→\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 153→\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n 154→\t\treturn nil, err\n 155→\t}\n 156→\n 157→\tif withMeta {\n 158→\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n 159→\t\tif metaErr != nil {\n 160→\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n 161→\t\t\treturn nil, metaErr\n 162→\t\t}\n 163→\t\tnode.MetaData = meta\n 164→\t}\n 165→\n 166→\treturn node, nil\n 167→}\n 168→\n 169→// const NamedNodeInsert string = `\n 170→// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n 171→//\n 172→//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n 173→//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n 174→//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n 175→\n 176→const NamedNodeInsert string = `\n 177→INSERT INTO node (hostname, cluster, subcluster)\n 178→\tVALUES (:hostname, :cluster, :subcluster);`\n 179→\n 180→// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n 181→// from a nodestate update from the job scheduler.\n 182→func (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n 183→\tvar err error\n 184→\n 185→\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n 186→\tif err != nil {\n 187→\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n 188→\t\treturn 0, err\n 189→\t}\n 190→\tnode.ID, err = res.LastInsertId()\n 191→\tif err != nil {\n 192→\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n 193→\t\treturn 0, err\n 194→\t}\n 195→\n 196→\treturn node.ID, nil\n 197→}\n 198→\n 199→const NamedNodeStateInsert string = `\n 200→INSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n 201→\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n 202→\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n 203→\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n 204→\n 205→// TODO: Add real Monitoring Health State\n 206→\n 207→// UpdateNodeState is called from the Node REST API to add a row in the node state table\n 208→func (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n 209→\tvar id int64\n 210→\n 211→\tif err := sq.Select(\"id\").From(\"node\").\n 212→\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n 213→\t\tQueryRow().Scan(&id); err != nil {\n 214→\t\tif err == sql.ErrNoRows {\n 215→\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n 216→\t\t\tif err != nil {\n 217→\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n 218→\t\t\t\treturn err\n 219→\t\t\t}\n 220→\t\t\tnode := schema.NodeDB{\n 221→\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n 222→\t\t\t}\n 223→\t\t\tid, err = r.AddNode(&node)\n 224→\t\t\tif err != nil {\n 225→\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n 226→\t\t\t\treturn err\n 227→\t\t\t}\n 228→\n 229→\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n 230→\t\t} else {\n 231→\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n 232→\t\t\treturn err\n 233→\t\t}\n 234→\t}\n 235→\n 236→\tnodeState.NodeID = id\n 237→\n 238→\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n 239→\tif err != nil {\n 240→\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n 241→\t\treturn err\n 242→\t}\n 243→\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n 244→\treturn nil\n 245→}\n 246→\n 247→// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n 248→// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n 249→// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n 250→// \t\treturn err\n 251→// \t}\n 252→//\n 253→// \treturn nil\n 254→// }\n 255→\n 256→// NodeStateWithNode combines a node state row with denormalized node info.\n 257→type NodeStateWithNode struct {\n 258→\tID int64 `db:\"id\"`\n 259→\tTimeStamp int64 `db:\"time_stamp\"`\n 260→\tNodeState string `db:\"node_state\"`\n 261→\tHealthState string `db:\"health_state\"`\n 262→\tHealthMetrics string `db:\"health_metrics\"`\n 263→\tCpusAllocated int `db:\"cpus_allocated\"`\n 264→\tMemoryAllocated int64 `db:\"memory_allocated\"`\n 265→\tGpusAllocated int `db:\"gpus_allocated\"`\n 266→\tJobsRunning int `db:\"jobs_running\"`\n 267→\tHostname string `db:\"hostname\"`\n 268→\tCluster string `db:\"cluster\"`\n 269→\tSubCluster string `db:\"subcluster\"`\n 270→}\n 271→\n 272→// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n 273→// joined with node info for denormalized archiving.\n 274→func (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n 275→\trows, err := sq.Select(\n 276→\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n 277→\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n 278→\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n 279→\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n 280→\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 281→\t).\n 282→\t\tFrom(\"node_state\").\n 283→\t\tJoin(\"node ON node_state.node_id = node.id\").\n 284→\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n 285→\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n 286→\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n 287→\t\tRunWith(r.DB).Query()\n 288→\tif err != nil {\n 289→\t\treturn nil, err\n 290→\t}\n 291→\tdefer rows.Close()\n 292→\n 293→\tvar result []NodeStateWithNode\n 294→\tfor rows.Next() {\n 295→\t\tvar ns NodeStateWithNode\n 296→\t\tvar healthMetrics sql.NullString\n 297→\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n 298→\t\t\t&ns.HealthState, &healthMetrics,\n 299→\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n 300→\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n 301→\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n 302→\t\t\treturn nil, err\n 303→\t\t}\n 304→\t\tns.HealthMetrics = healthMetrics.String\n 305→\t\tresult = append(result, ns)\n 306→\t}\n 307→\treturn result, nil\n 308→}\n 309→\n 310→// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n 311→// but always preserves the row with the latest timestamp per node_id.\n 312→func (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n 313→\tres, err := r.DB.Exec(\n 314→\t\t`DELETE FROM node_state WHERE time_stamp < ?\n 315→\t\t AND id NOT IN (\n 316→\t\t SELECT id FROM node_state ns2\n 317→\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n 318→\t\t )`,\n 319→\t\tcutoff,\n 320→\t)\n 321→\tif err != nil {\n 322→\t\treturn 0, err\n 323→\t}\n 324→\treturn res.RowsAffected()\n 325→}\n 326→\n 327→func (r *NodeRepository) DeleteNode(id int64) error {\n 328→\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n 329→\tif err != nil {\n 330→\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n 331→\t\treturn err\n 332→\t}\n 333→\tcclog.Infof(\"deleted node '%d' from DB\", id)\n 334→\treturn nil\n 335→}\n 336→\n 337→// QueryNodes returns a list of nodes based on a node filter. It always operates\n 338→// on the last state (largest timestamp).\n 339→func (r *NodeRepository) QueryNodes(\n 340→\tctx context.Context,\n 341→\tfilters []*model.NodeFilter,\n 342→\tpage *model.PageRequest,\n 343→\torder *model.OrderByInput, // Currently unused!\n 344→) ([]*schema.Node, error) {\n 345→\tquery, qerr := AccessCheck(ctx,\n 346→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 347→\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n 348→\t\t\tFrom(\"node\").\n 349→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 350→\t\t\tWhere(latestStateCondition()))\n 351→\tif qerr != nil {\n 352→\t\treturn nil, qerr\n 353→\t}\n 354→\n 355→\tquery = applyNodeFilters(query, filters)\n 356→\tquery = query.OrderBy(\"node.hostname ASC\")\n 357→\n 358→\tif page != nil && page.ItemsPerPage != -1 {\n 359→\t\tlimit := uint64(page.ItemsPerPage)\n 360→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 361→\t}\n 362→\n 363→\trows, err := query.RunWith(r.stmtCache).Query()\n 364→\tif err != nil {\n 365→\t\tqueryString, queryVars, _ := query.ToSql()\n 366→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 367→\t\treturn nil, err\n 368→\t}\n 369→\tdefer rows.Close()\n 370→\n 371→\tnodes := make([]*schema.Node, 0)\n 372→\tfor rows.Next() {\n 373→\t\tnode := schema.Node{}\n 374→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 375→\t\t\t&node.NodeState, &node.HealthState); err != nil {\n 376→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 377→\t\t\treturn nil, err\n 378→\t\t}\n 379→\t\tnodes = append(nodes, &node)\n 380→\t}\n 381→\n 382→\tif err := rows.Err(); err != nil {\n 383→\t\treturn nil, err\n 384→\t}\n 385→\n 386→\treturn nodes, nil\n 387→}\n 388→\n 389→// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n 390→// on the last state (largest timestamp). It includes both (!) optional JSON column data\n 391→func (r *NodeRepository) QueryNodesWithMeta(\n 392→\tctx context.Context,\n 393→\tfilters []*model.NodeFilter,\n 394→\tpage *model.PageRequest,\n 395→\torder *model.OrderByInput, // Currently unused!\n 396→) ([]*schema.Node, error) {\n 397→\tquery, qerr := AccessCheck(ctx,\n 398→\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 399→\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n 400→\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n 401→\t\t\tFrom(\"node\").\n 402→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 403→\t\t\tWhere(latestStateCondition()))\n 404→\tif qerr != nil {\n 405→\t\treturn nil, qerr\n 406→\t}\n 407→\n 408→\tquery = applyNodeFilters(query, filters)\n 409→\tquery = query.OrderBy(\"node.hostname ASC\")\n 410→\n 411→\tif page != nil && page.ItemsPerPage != -1 {\n 412→\t\tlimit := uint64(page.ItemsPerPage)\n 413→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 414→\t}\n 415→\n 416→\trows, err := query.RunWith(r.stmtCache).Query()\n 417→\tif err != nil {\n 418→\t\tqueryString, queryVars, _ := query.ToSql()\n 419→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 420→\t\treturn nil, err\n 421→\t}\n 422→\tdefer rows.Close()\n 423→\n 424→\tnodes := make([]*schema.Node, 0)\n 425→\tfor rows.Next() {\n 426→\t\tnode := schema.Node{}\n 427→\t\tRawMetaData := make([]byte, 0)\n 428→\t\tRawMetricHealth := make([]byte, 0)\n 429→\n 430→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n 431→\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n 432→\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n 433→\t\t\treturn nil, err\n 434→\t\t}\n 435→\n 436→\t\tif len(RawMetaData) == 0 {\n 437→\t\t\tnode.MetaData = nil\n 438→\t\t} else {\n 439→\t\t\tmetaData := make(map[string]string)\n 440→\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n 441→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n 442→\t\t\t\treturn nil, err\n 443→\t\t\t}\n 444→\t\t\tnode.MetaData = metaData\n 445→\t\t}\n 446→\n 447→\t\tif len(RawMetricHealth) == 0 {\n 448→\t\t\tnode.HealthData = nil\n 449→\t\t} else {\n 450→\t\t\thealthData := make(map[string][]string)\n 451→\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n 452→\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n 453→\t\t\t\treturn nil, err\n 454→\t\t\t}\n 455→\t\t\tnode.HealthData = healthData\n 456→\t\t}\n 457→\n 458→\t\tnodes = append(nodes, &node)\n 459→\t}\n 460→\n 461→\tif err := rows.Err(); err != nil {\n 462→\t\treturn nil, err\n 463→\t}\n 464→\n 465→\treturn nodes, nil\n 466→}\n 467→\n 468→// CountNodes returns the total matched nodes based on a node filter. It always operates\n 469→// on the last state (largest timestamp) per node.\n 470→func (r *NodeRepository) CountNodes(\n 471→\tctx context.Context,\n 472→\tfilters []*model.NodeFilter,\n 473→) (int, error) {\n 474→\tquery, qerr := AccessCheck(ctx,\n 475→\t\tsq.Select(\"COUNT(*)\").\n 476→\t\t\tFrom(\"node\").\n 477→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 478→\t\t\tWhere(latestStateCondition()))\n 479→\tif qerr != nil {\n 480→\t\treturn 0, qerr\n 481→\t}\n 482→\n 483→\tquery = applyNodeFilters(query, filters)\n 484→\n 485→\tvar count int\n 486→\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n 487→\t\tqueryString, queryVars, _ := query.ToSql()\n 488→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 489→\t\treturn 0, err\n 490→\t}\n 491→\n 492→\treturn count, nil\n 493→}\n 494→\n 495→func (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n 496→\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n 497→\t\t\"node_state.node_state\", \"node_state.health_state\").\n 498→\t\tFrom(\"node\").\n 499→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 500→\t\tWhere(latestStateCondition()).\n 501→\t\tWhere(\"node.cluster = ?\", cluster).\n 502→\t\tOrderBy(\"node.hostname ASC\")\n 503→\n 504→\trows, err := q.RunWith(r.DB).Query()\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying node list\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tnodeList := make([]*schema.Node, 0, 100)\n 510→\tdefer rows.Close()\n 511→\tfor rows.Next() {\n 512→\t\tnode := &schema.Node{}\n 513→\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n 514→\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n 515→\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n 516→\t\t\treturn nil, err\n 517→\t\t}\n 518→\n 519→\t\tnodeList = append(nodeList, node)\n 520→\t}\n 521→\n 522→\treturn nodeList, nil\n 523→}\n 524→\n 525→func (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n 526→\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n 527→\t\tFrom(\"node\").\n 528→\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 529→\t\tWhere(latestStateCondition()).\n 530→\t\tWhere(\"node.cluster = ?\", cluster).\n 531→\t\tOrderBy(\"node.hostname ASC\")\n 532→\n 533→\trows, err := q.RunWith(r.DB).Query()\n 534→\tif err != nil {\n 535→\t\tcclog.Warn(\"Error while querying node list\")\n 536→\t\treturn nil, err\n 537→\t}\n 538→\n 539→\tstateMap := make(map[string]string)\n 540→\tdefer rows.Close()\n 541→\tfor rows.Next() {\n 542→\t\tvar hostname, nodestate string\n 543→\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n 544→\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n 545→\t\t\treturn nil, err\n 546→\t\t}\n 547→\n 548→\t\tstateMap[hostname] = nodestate\n 549→\t}\n 550→\n 551→\treturn stateMap, nil\n 552→}\n 553→\n 554→func (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n 555→\tquery, qerr := AccessCheck(ctx,\n 556→\t\tsq.Select(column, \"COUNT(*) as count\").\n 557→\t\t\tFrom(\"node\").\n 558→\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n 559→\t\t\tWhere(latestStateCondition()).\n 560→\t\t\tGroupBy(column))\n 561→\tif qerr != nil {\n 562→\t\treturn nil, qerr\n 563→\t}\n 564→\n 565→\tquery = applyNodeFilters(query, filters)\n 566→\n 567→\trows, err := query.RunWith(r.stmtCache).Query()\n 568→\tif err != nil {\n 569→\t\tqueryString, queryVars, _ := query.ToSql()\n 570→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 571→\t\treturn nil, err\n 572→\t}\n 573→\tdefer rows.Close()\n 574→\n 575→\tnodes := make([]*model.NodeStates, 0)\n 576→\tfor rows.Next() {\n 577→\t\tvar state string\n 578→\t\tvar count int\n 579→\t\tif err := rows.Scan(&state, &count); err != nil {\n 580→\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n 581→\t\t\treturn nil, err\n 582→\t\t}\n 583→\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n 584→\t}\n 585→\n 586→\tif err := rows.Err(); err != nil {\n 587→\t\treturn nil, err\n 588→\t}\n 589→\n 590→\treturn nodes, nil\n 591→}\n 592→\n 593→func (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n 594→\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n 595→\tif qerr != nil {\n 596→\t\treturn nil, qerr\n 597→\t}\n 598→\n 599→\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n 600→\n 601→\tfor _, f := range filters {\n 602→\t\t// Required\n 603→\t\tif f.TimeStart != nil {\n 604→\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n 605→\t\t}\n 606→\t\t// Optional\n 607→\t\tif f.Hostname != nil {\n 608→\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n 609→\t\t}\n 610→\t\tif f.Cluster != nil {\n 611→\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n 612→\t\t}\n 613→\t\tif f.SubCluster != nil {\n 614→\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n 615→\t\t}\n 616→\t\tif f.SchedulerState != nil {\n 617→\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n 618→\t\t}\n 619→\t\tif f.HealthState != nil {\n 620→\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n 621→\t\t}\n 622→\t}\n 623→\n 624→\t// Add Group and Order\n 625→\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n 626→\n 627→\trows, err := query.RunWith(r.stmtCache).Query()\n 628→\tif err != nil {\n 629→\t\tqueryString, queryVars, _ := query.ToSql()\n 630→\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n 631→\t\treturn nil, err\n 632→\t}\n 633→\tdefer rows.Close()\n 634→\n 635→\trawData := make(map[string][][]int)\n 636→\tfor rows.Next() {\n 637→\t\tvar state string\n 638→\t\tvar timestamp, count int\n 639→\n 640→\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n 641→\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n 642→\t\t\treturn nil, err\n 643→\t\t}\n 644→\n 645→\t\tif rawData[state] == nil {\n 646→\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n 647→\t\t}\n 648→\n 649→\t\trawData[state][0] = append(rawData[state][0], timestamp)\n 650→\t\trawData[state][1] = append(rawData[state][1], count)\n 651→\t}\n 652→\n 653→\tif err := rows.Err(); err != nil {\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\ttimedStates := make([]*model.NodeStatesTimed, 0)\n 658→\tfor state, data := range rawData {\n 659→\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n 660→\t\ttimedStates = append(timedStates, &entry)\n 661→\t}\n 662→\n 663→\treturn timedStates, nil\n 664→}\n 665→\n 666→func (r *NodeRepository) GetNodesForList(\n 667→\tctx context.Context,\n 668→\tcluster string,\n 669→\tsubCluster string,\n 670→\tstateFilter string,\n 671→\tnodeFilter string,\n 672→\tpage *model.PageRequest,\n 673→) ([]string, map[string]string, int, bool, error) {\n 674→\t// Init Return Vars\n 675→\tnodes := make([]string, 0)\n 676→\tstateMap := make(map[string]string)\n 677→\tcountNodes := 0\n 678→\thasNextPage := false\n 679→\n 680→\t// Build Filters\n 681→\tqueryFilters := make([]*model.NodeFilter, 0)\n 682→\tif cluster != \"\" {\n 683→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n 684→\t}\n 685→\tif subCluster != \"\" {\n 686→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n 687→\t}\n 688→\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n 689→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n 690→\t}\n 691→\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n 692→\t\tqueryState := schema.SchedulerState(stateFilter)\n 693→\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n 694→\t}\n 695→\t// if healthFilter != \"all\" {\n 696→\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n 697→\t// }\n 698→\n 699→\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n 700→\tvar backupItems int\n 701→\tif stateFilter == \"notindb\" {\n 702→\t\tbackupItems = page.ItemsPerPage\n 703→\t\tpage.ItemsPerPage = -1\n 704→\t}\n 705→\n 706→\t// Query Nodes From DB\n 707→\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n 708→\tif serr != nil {\n 709→\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n 710→\t\treturn nil, nil, 0, false, serr\n 711→\t}\n 712→\n 713→\t// Intermediate Node Result Info\n 714→\tfor _, node := range rawNodes {\n 715→\t\tif node == nil {\n 716→\t\t\tcontinue\n 717→\t\t}\n 718→\t\tnodes = append(nodes, node.Hostname)\n 719→\t\tstateMap[node.Hostname] = string(node.NodeState)\n 720→\t}\n 721→\n 722→\t// Special Case: Find Nodes not in DB node table but in metricStore only\n 723→\tif stateFilter == \"notindb\" {\n 724→\t\t// Reapply Original Paging\n 725→\t\tpage.ItemsPerPage = backupItems\n 726→\t\t// Get Nodes From Topology\n 727→\t\tvar topoNodes []string\n 728→\t\tif subCluster != \"\" {\n 729→\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 730→\t\t\ttopoNodes = scNodes.PrintList()\n 731→\t\t} else {\n 732→\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 733→\t\t\tfor _, nodeList := range subClusterNodeLists {\n 734→\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n 735→\t\t\t}\n 736→\t\t}\n 737→\t\t// Compare to all nodes from cluster/subcluster in DB\n 738→\t\tvar missingNodes []string\n 739→\t\tfor _, scanNode := range topoNodes {\n 740→\t\t\tif !slices.Contains(nodes, scanNode) {\n 741→\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n 742→\t\t\t}\n 743→\t\t}\n 744→\t\t// Filter nodes by name\n 745→\t\tif nodeFilter != \"\" {\n 746→\t\t\tfilteredNodesByName := []string{}\n 747→\t\t\tfor _, missingNode := range missingNodes {\n 748→\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n 749→\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n 750→\t\t\t\t}\n 751→\t\t\t}\n 752→\t\t\tmissingNodes = filteredNodesByName\n 753→\t\t}\n 754→\t\t// Sort Missing Nodes Alphanumerically\n 755→\t\tslices.Sort(missingNodes)\n 756→\t\t// Total Missing\n 757→\t\tcountNodes = len(missingNodes)\n 758→\t\t// Apply paging\n 759→\t\tif countNodes > page.ItemsPerPage {\n 760→\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 761→\t\t\tend := start + page.ItemsPerPage\n 762→\t\t\tif end > countNodes {\n 763→\t\t\t\tend = countNodes\n 764→\t\t\t\thasNextPage = false\n 765→\t\t\t} else {\n 766→\t\t\t\thasNextPage = true\n 767→\t\t\t}\n 768→\t\t\tnodes = missingNodes[start:end]\n 769→\t\t} else {\n 770→\t\t\tnodes = missingNodes\n 771→\t\t}\n 772→\n 773→\t} else {\n 774→\t\t// DB Nodes: Count and derive hasNextPage from count\n 775→\t\tvar cerr error\n 776→\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n 777→\t\tif cerr != nil {\n 778→\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n 779→\t\t\treturn nil, nil, 0, false, cerr\n 780→\t\t}\n 781→\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n 782→\t}\n 783→\n 784→\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n 785→\tif stateFilter == \"all\" && countNodes == 0 {\n 786→\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n 787→\t}\n 788→\n 789→\treturn nodes, stateMap, countNodes, hasNextPage, nil\n 790→}\n 791→\n 792→func AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 793→\tuser := GetUserFromContext(ctx)\n 794→\treturn AccessCheckWithUser(user, query)\n 795→}\n 796→\n 797→func AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 798→\tif user == nil {\n 799→\t\tvar qnil sq.SelectBuilder\n 800→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 801→\t}\n 802→\n 803→\tswitch {\n 804→\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n 805→\t// \treturn query, nil\n 806→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n 807→\t\treturn query, nil\n 808→\tdefault: // No known Role: No Access, return error\n 809→\t\tvar qnil sq.SelectBuilder\n 810→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 811→\t}\n 812→}\n 813→\n 814→func getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n 815→\t// 0) Init additional vars\n 816→\thasNextPage := false\n 817→\ttotalNodes := 0\n 818→\n 819→\t// 1) Get list of all nodes\n 820→\tvar topolNodes []string\n 821→\tif subCluster != \"\" {\n 822→\t\tscNodes := archive.NodeLists[cluster][subCluster]\n 823→\t\ttopolNodes = scNodes.PrintList()\n 824→\t} else {\n 825→\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n 826→\t\tfor _, nodeList := range subClusterNodeLists {\n 827→\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n 828→\t\t}\n 829→\t}\n 830→\n 831→\t// 2) Filter nodes\n 832→\tif nodeFilter != \"\" {\n 833→\t\tfilteredNodes := []string{}\n 834→\t\tfor _, node := range topolNodes {\n 835→\t\t\tif strings.Contains(node, nodeFilter) {\n 836→\t\t\t\tfilteredNodes = append(filteredNodes, node)\n 837→\t\t\t}\n 838→\t\t}\n 839→\t\ttopolNodes = filteredNodes\n 840→\t}\n 841→\n 842→\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n 843→\ttotalNodes = len(topolNodes)\n 844→\tsort.Strings(topolNodes)\n 845→\n 846→\t// 3) Apply paging\n 847→\tif len(topolNodes) > page.ItemsPerPage {\n 848→\t\tstart := (page.Page - 1) * page.ItemsPerPage\n 849→\t\tend := start + page.ItemsPerPage\n 850→\t\tif end >= len(topolNodes) {\n 851→\t\t\tend = len(topolNodes)\n 852→\t\t\thasNextPage = false\n 853→\t\t} else {\n 854→\t\t\thasNextPage = true\n 855→\t\t}\n 856→\t\ttopolNodes = topolNodes[start:end]\n 857→\t}\n 858→\n 859→\treturn topolNodes, totalNodes, hasNextPage\n 860→}\n 861→"}]},"uuid":"2188f7a5-cd29-489c-9a95-04382c575155","timestamp":"2026-03-16T10:12:41.122Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","numLines":861,"startLine":1,"totalLines":861}},"sourceToolAssistantUUID":"d8f1148f-83ce-49d1-8a7f-4e6531306bf4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2188f7a5-cd29-489c-9a95-04382c575155","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","timestamp":"2026-03-16T10:12:41.382Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SbAkMWCk98L7vU7dNCyC7L","toolUseID":"toolu_01SbAkMWCk98L7vU7dNCyC7L","timestamp":"2026-03-16T10:12:41.400Z","uuid":"cafcb518-9cb5-4b1d-9394-e9340ec77c79","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SbAkMWCk98L7vU7dNCyC7L","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"strings\"\n 12→\t\"sync\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n 21→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n 23→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 24→\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n 25→)\n 26→\n 27→// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n 28→// It mirrors the functionality of the REST API but uses NATS messaging with\n 29→// InfluxDB line protocol as the message format.\n 30→//\n 31→// # Message Format\n 32→//\n 33→// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n 34→// with the following structure:\n 35→//\n 36→//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n 37→//\n 38→// # Job Events\n 39→//\n 40→// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n 41→//\n 42→//\tjob,function=start_job event=\"{...JSON payload...}\" \n 43→//\tjob,function=stop_job event=\"{...JSON payload...}\" \n 44→//\n 45→// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n 46→//\n 47→// Example job start message:\n 48→//\n 49→//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n 50→//\n 51→// # Node State Events\n 52→//\n 53→// Node state updates use the \"nodestate\" measurement with cluster information:\n 54→//\n 55→//\tnodestate event=\"{...JSON payload...}\" \n 56→//\n 57→// The JSON payload follows the UpdateNodeStatesRequest structure.\n 58→//\n 59→// Example node state message:\n 60→//\n 61→//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\n 62→type NatsAPI struct {\n 63→\tJobRepository *repository.JobRepository\n 64→\t// RepositoryMutex protects job creation operations from race conditions\n 65→\t// when checking for duplicate jobs during startJob calls.\n 66→\tRepositoryMutex sync.Mutex\n 67→}\n 68→\n 69→// NewNatsAPI creates a new NatsAPI instance with default dependencies.\n 70→func NewNatsAPI() *NatsAPI {\n 71→\treturn &NatsAPI{\n 72→\t\tJobRepository: repository.GetJobRepository(),\n 73→\t}\n 74→}\n 75→\n 76→// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n 77→// Returns an error if the NATS client is not available or subscription fails.\n 78→func (api *NatsAPI) StartSubscriptions() error {\n 79→\tclient := nats.GetClient()\n 80→\tif client == nil {\n 81→\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n 82→\t\treturn nil\n 83→\t}\n 84→\n 85→\tif config.Keys.APISubjects != nil {\n 86→\n 87→\t\ts := config.Keys.APISubjects\n 88→\n 89→\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n 90→\t\t\treturn err\n 91→\t\t}\n 92→\n 93→\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n 94→\t\t\treturn err\n 95→\t\t}\n 96→\n 97→\t\tcclog.Info(\"NATS API subscriptions started\")\n 98→\t}\n 99→\treturn nil\n 100→}\n 101→\n 102→// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n 103→// Validates that required tags and fields are present before processing.\n 104→func (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n 105→\tfunction, ok := msg.GetTag(\"function\")\n 106→\tif !ok {\n 107→\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n 108→\t\treturn\n 109→\t}\n 110→\n 111→\tswitch function {\n 112→\tcase \"start_job\":\n 113→\t\tv, ok := msg.GetEventValue()\n 114→\t\tif !ok {\n 115→\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n 116→\t\t\treturn\n 117→\t\t}\n 118→\t\tapi.handleStartJob(v)\n 119→\n 120→\tcase \"stop_job\":\n 121→\t\tv, ok := msg.GetEventValue()\n 122→\t\tif !ok {\n 123→\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n 124→\t\t\treturn\n 125→\t\t}\n 126→\t\tapi.handleStopJob(v)\n 127→\n 128→\tdefault:\n 129→\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n 130→\t}\n 131→}\n 132→\n 133→// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n 134→// The message must be in line protocol format with measurement=\"job\" and include:\n 135→// - tag \"function\" with value \"start_job\" or \"stop_job\"\n 136→// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n 137→//\n 138→// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\n 139→func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n 140→\tif len(data) == 0 {\n 141→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 142→\t\treturn\n 143→\t}\n 144→\n 145→\td := influx.NewDecoderWithBytes(data)\n 146→\n 147→\tfor d.Next() {\n 148→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 149→\t\tif err != nil {\n 150→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 151→\t\t\treturn\n 152→\t\t}\n 153→\n 154→\t\tif !m.IsEvent() {\n 155→\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n 156→\t\t\tcontinue\n 157→\t\t}\n 158→\n 159→\t\tif m.Name() == \"job\" {\n 160→\t\t\tapi.processJobEvent(m)\n 161→\t\t} else {\n 162→\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n 163→\t\t}\n 164→\t}\n 165→}\n 166→\n 167→// handleStartJob processes job start messages received via NATS.\n 168→// The payload parameter contains JSON following the schema.Job structure.\n 169→// Jobs are validated, checked for duplicates, and inserted into the database.\n 170→func (api *NatsAPI) handleStartJob(payload string) {\n 171→\tif payload == \"\" {\n 172→\t\tcclog.Error(\"NATS start job: payload is empty\")\n 173→\t\treturn\n 174→\t}\n 175→\treq := schema.Job{\n 176→\t\tShared: \"none\",\n 177→\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n 178→\t}\n 179→\n 180→\tdec := json.NewDecoder(strings.NewReader(payload))\n 181→\tdec.DisallowUnknownFields()\n 182→\tif err := dec.Decode(&req); err != nil {\n 183→\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n 184→\t\treturn\n 185→\t}\n 186→\n 187→\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n 188→\treq.State = schema.JobStateRunning\n 189→\n 190→\tif err := importer.SanityChecks(&req); err != nil {\n 191→\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n 192→\t\treturn\n 193→\t}\n 194→\n 195→\tvar unlockOnce sync.Once\n 196→\tapi.RepositoryMutex.Lock()\n 197→\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n 198→\n 199→\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n 200→\tif err != nil && err != sql.ErrNoRows {\n 201→\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n 202→\t\treturn\n 203→\t}\n 204→\tif err == nil {\n 205→\t\tfor _, job := range jobs {\n 206→\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n 207→\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n 208→\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n 209→\t\t\t\treturn\n 210→\t\t\t}\n 211→\t\t}\n 212→\t}\n 213→\n 214→\t// When tags are present, insert directly into the job table so that the\n 215→\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n 216→\tvar id int64\n 217→\tif len(req.Tags) > 0 {\n 218→\t\tid, err = api.JobRepository.StartDirect(&req)\n 219→\t} else {\n 220→\t\tid, err = api.JobRepository.Start(&req)\n 221→\t}\n 222→\tif err != nil {\n 223→\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n 224→\t\treturn\n 225→\t}\n 226→\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n 227→\n 228→\tfor _, tag := range req.Tags {\n 229→\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n 230→\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n 231→\t\t\treturn\n 232→\t\t}\n 233→\t}\n 234→\n 235→\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n 236→\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n 237→}\n 238→\n 239→// handleStopJob processes job stop messages received via NATS.\n 240→// The payload parameter contains JSON following the StopJobAPIRequest structure.\n 241→// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\n 242→func (api *NatsAPI) handleStopJob(payload string) {\n 243→\tif payload == \"\" {\n 244→\t\tcclog.Error(\"NATS stop job: payload is empty\")\n 245→\t\treturn\n 246→\t}\n 247→\tvar req StopJobAPIRequest\n 248→\n 249→\tdec := json.NewDecoder(strings.NewReader(payload))\n 250→\tdec.DisallowUnknownFields()\n 251→\tif err := dec.Decode(&req); err != nil {\n 252→\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n 253→\t\treturn\n 254→\t}\n 255→\n 256→\tif req.JobID == nil {\n 257→\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n 258→\t\treturn\n 259→\t}\n 260→\n 261→\tisCached := false\n 262→\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n 263→\tif err != nil {\n 264→\t\t// Not in cache, try main job table\n 265→\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n 266→\t\tif err != nil {\n 267→\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n 268→\t\t\treturn\n 269→\t\t}\n 270→\t} else {\n 271→\t\tisCached = true\n 272→\t}\n 273→\n 274→\tif job.State != schema.JobStateRunning {\n 275→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n 276→\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n 277→\t\treturn\n 278→\t}\n 279→\n 280→\tif job.StartTime > req.StopTime {\n 281→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n 282→\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n 283→\t\treturn\n 284→\t}\n 285→\n 286→\tif req.State != \"\" && !req.State.Valid() {\n 287→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n 288→\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n 289→\t\treturn\n 290→\t} else if req.State == \"\" {\n 291→\t\treq.State = schema.JobStateCompleted\n 292→\t}\n 293→\n 294→\tjob.Duration = int32(req.StopTime - job.StartTime)\n 295→\tjob.State = req.State\n 296→\tapi.JobRepository.Mutex.Lock()\n 297→\tdefer api.JobRepository.Mutex.Unlock()\n 298→\n 299→\t// If the job is still in job_cache, transfer it to the job table first\n 300→\tif isCached {\n 301→\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n 302→\t\tif err != nil {\n 303→\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n 304→\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n 305→\t\t\treturn\n 306→\t\t}\n 307→\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n 308→\t\tjob.ID = &newID\n 309→\t}\n 310→\n 311→\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n 312→\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n 313→\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n 314→\t\treturn\n 315→\t}\n 316→\n 317→\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n 318→\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n 319→\n 320→\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n 321→\t\treturn\n 322→\t}\n 323→\n 324→\tarchiver.TriggerArchiving(job)\n 325→}\n 326→\n 327→// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n 328→// Updates node states in the repository for all nodes in the payload.\n 329→func (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n 330→\tv, ok := msg.GetEventValue()\n 331→\tif !ok {\n 332→\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n 333→\t\treturn\n 334→\t}\n 335→\n 336→\tvar req UpdateNodeStatesRequest\n 337→\n 338→\tdec := json.NewDecoder(strings.NewReader(v))\n 339→\tdec.DisallowUnknownFields()\n 340→\tif err := dec.Decode(&req); err != nil {\n 341→\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n 342→\t\treturn\n 343→\t}\n 344→\n 345→\trepo := repository.GetNodeRepository()\n 346→\trequestReceived := time.Now().Unix()\n 347→\n 348→\tfor _, node := range req.Nodes {\n 349→\t\tstate := determineState(node.States)\n 350→\t\tnodeState := schema.NodeStateDB{\n 351→\t\t\tTimeStamp: requestReceived,\n 352→\t\t\tNodeState: state,\n 353→\t\t\tCpusAllocated: node.CpusAllocated,\n 354→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 355→\t\t\tGpusAllocated: node.GpusAllocated,\n 356→\t\t\tHealthState: schema.MonitoringStateFull,\n 357→\t\t\tJobsRunning: node.JobsRunning,\n 358→\t\t}\n 359→\n 360→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n 361→\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n 362→\t\t\t\tnode.Hostname, req.Cluster, err)\n 363→\t\t}\n 364→\t}\n 365→\n 366→\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n 367→}\n 368→\n 369→// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n 370→// The message must be in line protocol format with measurement=\"nodestate\" and include:\n 371→// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n 372→//\n 373→// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\n 374→func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n 375→\tif len(data) == 0 {\n 376→\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n 377→\t\treturn\n 378→\t}\n 379→\n 380→\td := influx.NewDecoderWithBytes(data)\n 381→\n 382→\tfor d.Next() {\n 383→\t\tm, err := receivers.DecodeInfluxMessage(d)\n 384→\t\tif err != nil {\n 385→\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n 386→\t\t\treturn\n 387→\t\t}\n 388→\n 389→\t\tif !m.IsEvent() {\n 390→\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n 391→\t\t\tcontinue\n 392→\t\t}\n 393→\n 394→\t\tif m.Name() == \"nodestate\" {\n 395→\t\t\tapi.processNodestateEvent(m)\n 396→\t\t} else {\n 397→\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n 398→\t\t}\n 399→\t}\n 400→}\n 401→"}]},"uuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","timestamp":"2026-03-16T10:12:41.400Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","numLines":401,"startLine":1,"totalLines":401}},"sourceToolAssistantUUID":"c8d3f293-f0a4-4c69-a19e-1f7a97d640ab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"186dcc55-1ec7-4336-abee-c9a5e56c2a8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014TL3pbSWBVr2pivAjUxp1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","timestamp":"2026-03-16T10:12:41.836Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","toolUseID":"toolu_014TL3pbSWBVr2pivAjUxp1C","timestamp":"2026-03-16T10:12:41.843Z","uuid":"9129b1db-0ee2-467a-9ec9-212b396d1bb4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2778e110-6ad8-4f0f-901e-a221ad5b2824","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014TL3pbSWBVr2pivAjUxp1C","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package api\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"maps\"\n 11→\t\"net/http\"\n 12→\t\"strings\"\n 13→\t\"time\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→)\n 22→\n 23→type UpdateNodeStatesRequest struct {\n 24→\tNodes []schema.NodePayload `json:\"nodes\"`\n 25→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 26→}\n 27→\n 28→// metricListToNames converts a map of metric configurations to a list of metric names\n 29→func metricListToNames(metricList map[string]*schema.Metric) []string {\n 30→\tnames := make([]string, 0, len(metricList))\n 31→\tfor name := range metricList {\n 32→\t\tnames = append(names, name)\n 33→\t}\n 34→\treturn names\n 35→}\n 36→\n 37→// this routine assumes that only one of them exists per node\n 38→func determineState(states []string) schema.SchedulerState {\n 39→\tfor _, state := range states {\n 40→\t\tswitch strings.ToLower(state) {\n 41→\t\tcase \"allocated\":\n 42→\t\t\treturn schema.NodeStateAllocated\n 43→\t\tcase \"reserved\":\n 44→\t\t\treturn schema.NodeStateReserved\n 45→\t\tcase \"idle\":\n 46→\t\t\treturn schema.NodeStateIdle\n 47→\t\tcase \"down\":\n 48→\t\t\treturn schema.NodeStateDown\n 49→\t\tcase \"mixed\":\n 50→\t\t\treturn schema.NodeStateMixed\n 51→\t\t}\n 52→\t}\n 53→\n 54→\treturn schema.NodeStateUnknown\n 55→}\n 56→\n 57→// updateNodeStates godoc\n 58→// @summary Deliver updated Slurm node states\n 59→// @tags Nodestates\n 60→// @description Returns a JSON-encoded list of users.\n 61→// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n 62→// @produce json\n 63→// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n 64→// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n 65→// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n 66→// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n 67→// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n 68→// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n 69→// @security ApiKeyAuth\n 70→// @router /api/nodestats/ [post]\n 71→func (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n 72→\t// Parse request body\n 73→\treq := UpdateNodeStatesRequest{}\n 74→\tif err := decode(r.Body, &req); err != nil {\n 75→\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n 76→\t\t\thttp.StatusBadRequest, rw)\n 77→\t\treturn\n 78→\t}\n 79→\trequestReceived := time.Now().Unix()\n 80→\trepo := repository.GetNodeRepository()\n 81→\n 82→\tm := make(map[string][]string)\n 83→\tmetricNames := make(map[string][]string)\n 84→\thealthResults := make(map[string]metricstore.HealthCheckResult)\n 85→\n 86→\tstartMs := time.Now()\n 87→\n 88→\t// Step 1: Build nodeList and metricList per subcluster\n 89→\tfor _, node := range req.Nodes {\n 90→\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n 91→\t\t\tm[sc] = append(m[sc], node.Hostname)\n 92→\t\t}\n 93→\t}\n 94→\n 95→\tfor sc := range m {\n 96→\t\tif sc != \"\" {\n 97→\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n 98→\t\t\tmetricNames[sc] = metricListToNames(metricList)\n 99→\t\t}\n 100→\t}\n 101→\n 102→\t// Step 2: Determine which metric store to query and perform health check\n 103→\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n 104→\tif err != nil {\n 105→\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n 106→\t} else {\n 107→\t\tfor sc, nl := range m {\n 108→\t\t\tif sc != \"\" {\n 109→\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n 110→\t\t\t\t\tmaps.Copy(healthResults, results)\n 111→\t\t\t\t}\n 112→\t\t\t}\n 113→\t\t}\n 114→\t}\n 115→\n 116→\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n 117→\tstartDB := time.Now()\n 118→\n 119→\tfor _, node := range req.Nodes {\n 120→\t\tstate := determineState(node.States)\n 121→\t\thealthState := schema.MonitoringStateFailed\n 122→\t\tvar healthMetrics string\n 123→\t\tif result, ok := healthResults[node.Hostname]; ok {\n 124→\t\t\thealthState = result.State\n 125→\t\t\thealthMetrics = result.HealthMetrics\n 126→\t\t}\n 127→\t\tnodeState := schema.NodeStateDB{\n 128→\t\t\tTimeStamp: requestReceived,\n 129→\t\t\tNodeState: state,\n 130→\t\t\tCpusAllocated: node.CpusAllocated,\n 131→\t\t\tMemoryAllocated: node.MemoryAllocated,\n 132→\t\t\tGpusAllocated: node.GpusAllocated,\n 133→\t\t\tHealthState: healthState,\n 134→\t\t\tHealthMetrics: healthMetrics,\n 135→\t\t\tJobsRunning: node.JobsRunning,\n 136→\t\t}\n 137→\n 138→\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n 139→\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n 140→\t\t\t\tnode.Hostname, req.Cluster, err)\n 141→\t\t}\n 142→\t}\n 143→\n 144→\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n 145→}\n 146→"}]},"uuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","timestamp":"2026-03-16T10:12:41.842Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","numLines":146,"startLine":1,"totalLines":146}},"sourceToolAssistantUUID":"2778e110-6ad8-4f0f-901e-a221ad5b2824","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"78f555f7-8f16-44fa-b61b-ca0e4f57eefa","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","timestamp":"2026-03-16T10:12:42.245Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","toolUseID":"toolu_01QZn1z7o6wW6qHVFPQ63xir","timestamp":"2026-03-16T10:12:42.250Z","uuid":"8ec2b218-0906-411c-a125-b9d46a9cbf93","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ab33adee-9926-4c38-af68-7a0b5d885ff8","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QZn1z7o6wW6qHVFPQ63xir","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→package repository\n 6→\n 7→import (\n 8→\t\"context\"\n 9→\t\"database/sql\"\n 10→\t\"encoding/json\"\n 11→\t\"errors\"\n 12→\t\"fmt\"\n 13→\t\"reflect\"\n 14→\t\"strings\"\n 15→\t\"sync\"\n 16→\n 17→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 18→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 19→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 20→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 21→\tsq \"github.com/Masterminds/squirrel\"\n 22→\t\"github.com/jmoiron/sqlx\"\n 23→\t\"golang.org/x/crypto/bcrypt\"\n 24→)\n 25→\n 26→// Authentication and Role System:\n 27→//\n 28→// ClusterCockpit supports multiple authentication sources:\n 29→// - Local: Username/password stored in database (password hashed with bcrypt)\n 30→// - LDAP: External LDAP/Active Directory authentication\n 31→// - JWT: Token-based authentication for API access\n 32→//\n 33→// Role Hierarchy (from highest to lowest privilege):\n 34→// 1. \"admin\" - Full system access, can manage all users and jobs\n 35→// 2. \"support\" - Can view all jobs but limited management capabilities\n 36→// 3. \"manager\" - Can manage specific projects and their users\n 37→// 4. \"api\" - Programmatic access for job submission/management\n 38→// 5. \"user\" - Default role, can only view own jobs\n 39→//\n 40→// Project Association:\n 41→// - Managers have a list of projects they oversee\n 42→// - Regular users' project membership is determined by job data\n 43→// - Managers can view/manage all jobs within their projects\n 44→\n 45→var (\n 46→\tuserRepoOnce sync.Once\n 47→\tuserRepoInstance *UserRepository\n 48→)\n 49→\n 50→type UserRepository struct {\n 51→\tDB *sqlx.DB\n 52→\tdriver string\n 53→}\n 54→\n 55→func GetUserRepository() *UserRepository {\n 56→\tuserRepoOnce.Do(func() {\n 57→\t\tdb := GetConnection()\n 58→\n 59→\t\tuserRepoInstance = &UserRepository{\n 60→\t\t\tDB: db.DB,\n 61→\t\t\tdriver: db.Driver,\n 62→\t\t}\n 63→\t})\n 64→\treturn userRepoInstance\n 65→}\n 66→\n 67→// GetUser retrieves a user by username from the database.\n 68→// Returns the complete user record including hashed password, roles, and projects.\n 69→// Password field contains bcrypt hash for local auth users, empty for LDAP users.\n 70→func (r *UserRepository) GetUser(username string) (*schema.User, error) {\n 71→\tuser := &schema.User{Username: username}\n 72→\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n 73→\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n 74→\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n 75→\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n 76→\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\tuser.Password = hashedPassword.String\n 81→\tuser.Name = name.String\n 82→\tuser.Email = email.String\n 83→\tif rawRoles.Valid {\n 84→\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n 85→\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n 86→\t\t\treturn nil, err\n 87→\t\t}\n 88→\t}\n 89→\tif rawProjects.Valid {\n 90→\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n 91→\t\t\treturn nil, err\n 92→\t\t}\n 93→\t}\n 94→\n 95→\treturn user, nil\n 96→}\n 97→\n 98→func (r *UserRepository) GetLdapUsernames() ([]string, error) {\n 99→\tvar users []string\n 100→\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n 101→\tif err != nil {\n 102→\t\tcclog.Warn(\"Error while querying usernames\")\n 103→\t\treturn nil, err\n 104→\t}\n 105→\tdefer rows.Close()\n 106→\n 107→\tfor rows.Next() {\n 108→\t\tvar username string\n 109→\t\tif err := rows.Scan(&username); err != nil {\n 110→\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n 111→\t\t\treturn nil, err\n 112→\t\t}\n 113→\n 114→\t\tusers = append(users, username)\n 115→\t}\n 116→\n 117→\treturn users, nil\n 118→}\n 119→\n 120→// AddUser creates a new user in the database.\n 121→// Passwords are automatically hashed with bcrypt before storage.\n 122→// Auth source determines authentication method (local, LDAP, etc.).\n 123→//\n 124→// Required fields: Username, Roles\n 125→// Optional fields: Name, Email, Password, Projects, AuthSource\n 126→func (r *UserRepository) AddUser(user *schema.User) error {\n 127→\trolesJson, _ := json.Marshal(user.Roles)\n 128→\tprojectsJson, _ := json.Marshal(user.Projects)\n 129→\n 130→\tcols := []string{\"username\", \"roles\", \"projects\"}\n 131→\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n 132→\n 133→\tif user.Name != \"\" {\n 134→\t\tcols = append(cols, \"name\")\n 135→\t\tvals = append(vals, user.Name)\n 136→\t}\n 137→\tif user.Email != \"\" {\n 138→\t\tcols = append(cols, \"email\")\n 139→\t\tvals = append(vals, user.Email)\n 140→\t}\n 141→\tif user.Password != \"\" {\n 142→\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n 143→\t\tif err != nil {\n 144→\t\t\tcclog.Error(\"Error while encrypting new user password\")\n 145→\t\t\treturn err\n 146→\t\t}\n 147→\t\tcols = append(cols, \"password\")\n 148→\t\tvals = append(vals, string(password))\n 149→\t}\n 150→\tif user.AuthSource != -1 {\n 151→\t\tcols = append(cols, \"ldap\")\n 152→\t\tvals = append(vals, int(user.AuthSource))\n 153→\t}\n 154→\n 155→\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n 156→\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n 157→\t\treturn err\n 158→\t}\n 159→\n 160→\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n 161→\n 162→\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n 163→\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n 164→\tif err != nil {\n 165→\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n 166→\t} else if defaultMetricsCfg != nil {\n 167→\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n 168→\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n 169→\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n 170→\t\t\tif err != nil {\n 171→\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n 172→\t\t\t\tcontinue\n 173→\t\t\t}\n 174→\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n 175→\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n 176→\t\t\tif _, err := sq.Insert(\"configuration\").\n 177→\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n 178→\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n 179→\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n 180→\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n 181→\t\t\t} else {\n 182→\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n 183→\t\t\t}\n 184→\t\t}\n 185→\t}\n 186→\t// END DEPRECATION\n 187→\n 188→\treturn nil\n 189→}\n 190→\n 191→func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n 192→\t// user contains updated info -> Apply to dbUser\n 193→\t// --- Simple Name Update ---\n 194→\tif dbUser.Name != user.Name {\n 195→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n 196→\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n 197→\t\t\treturn err\n 198→\t\t}\n 199→\t}\n 200→\n 201→\t// --- Def Helpers ---\n 202→\t// Helper to update roles\n 203→\tupdateRoles := func(roles []string) error {\n 204→\t\trolesJSON, _ := json.Marshal(roles)\n 205→\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 206→\t\treturn err\n 207→\t}\n 208→\n 209→\t// Helper to update projects\n 210→\tupdateProjects := func(projects []string) error {\n 211→\t\tprojectsJSON, _ := json.Marshal(projects)\n 212→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 213→\t\treturn err\n 214→\t}\n 215→\n 216→\t// Helper to clear projects\n 217→\tclearProjects := func() error {\n 218→\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n 219→\t\treturn err\n 220→\t}\n 221→\n 222→\t// --- Manager Role Handling ---\n 223→\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n 224→\t\t// Existing Manager: update projects\n 225→\t\tif err := updateProjects(user.Projects); err != nil {\n 226→\t\t\treturn err\n 227→\t\t}\n 228→\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 229→\t\t// New Manager: update roles and projects\n 230→\t\tif err := updateRoles(user.Roles); err != nil {\n 231→\t\t\treturn err\n 232→\t\t}\n 233→\t\tif err := updateProjects(user.Projects); err != nil {\n 234→\t\t\treturn err\n 235→\t\t}\n 236→\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n 237→\t\t// Remove Manager: update roles and clear projects\n 238→\t\tif err := updateRoles(user.Roles); err != nil {\n 239→\t\t\treturn err\n 240→\t\t}\n 241→\t\tif err := clearProjects(); err != nil {\n 242→\t\t\treturn err\n 243→\t\t}\n 244→\t}\n 245→\n 246→\t// --- Support Role Handling ---\n 247→\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n 248→\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n 249→\t\t// New Support: update roles\n 250→\t\tif err := updateRoles(user.Roles); err != nil {\n 251→\t\t\treturn err\n 252→\t\t}\n 253→\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 254→\t\t// Remove Support: update roles\n 255→\t\tif err := updateRoles(user.Roles); err != nil {\n 256→\t\t\treturn err\n 257→\t\t}\n 258→\t}\n 259→\n 260→\treturn nil\n 261→}\n 262→\n 263→func (r *UserRepository) DelUser(username string) error {\n 264→\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n 265→\tif err != nil {\n 266→\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n 267→\t\treturn err\n 268→\t}\n 269→\tcclog.Infof(\"deleted user '%s' from DB\", username)\n 270→\treturn nil\n 271→}\n 272→\n 273→func (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n 274→\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n 275→\tif specialsOnly {\n 276→\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n 277→\t}\n 278→\n 279→\trows, err := q.RunWith(r.DB).Query()\n 280→\tif err != nil {\n 281→\t\tcclog.Warn(\"Error while querying user list\")\n 282→\t\treturn nil, err\n 283→\t}\n 284→\n 285→\tusers := make([]*schema.User, 0)\n 286→\tdefer rows.Close()\n 287→\tfor rows.Next() {\n 288→\t\trawroles := \"\"\n 289→\t\trawprojects := \"\"\n 290→\t\tuser := &schema.User{}\n 291→\t\tvar name, email sql.NullString\n 292→\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n 293→\t\t\tcclog.Warn(\"Error while scanning user list\")\n 294→\t\t\treturn nil, err\n 295→\t\t}\n 296→\n 297→\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n 298→\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n 299→\t\t\treturn nil, err\n 300→\t\t}\n 301→\n 302→\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n 303→\t\t\treturn nil, err\n 304→\t\t}\n 305→\n 306→\t\tuser.Name = name.String\n 307→\t\tuser.Email = email.String\n 308→\t\tusers = append(users, user)\n 309→\t}\n 310→\treturn users, nil\n 311→}\n 312→\n 313→// AddRole adds a role to a user's role list.\n 314→// Role string is automatically lowercased.\n 315→// Valid roles: admin, support, manager, api, user\n 316→//\n 317→// Returns error if:\n 318→// - User doesn't exist\n 319→// - Role is invalid\n 320→// - User already has the role\n 321→func (r *UserRepository) AddRole(\n 322→\tctx context.Context,\n 323→\tusername string,\n 324→\tqueryrole string,\n 325→) error {\n 326→\tnewRole := strings.ToLower(queryrole)\n 327→\tuser, err := r.GetUser(username)\n 328→\tif err != nil {\n 329→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 330→\t\treturn err\n 331→\t}\n 332→\n 333→\texists, valid := user.HasValidRole(newRole)\n 334→\n 335→\tif !valid {\n 336→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n 337→\t}\n 338→\tif exists {\n 339→\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n 340→\t}\n 341→\n 342→\troles, _ := json.Marshal(append(user.Roles, newRole))\n 343→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 344→\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n 345→\t\treturn err\n 346→\t}\n 347→\treturn nil\n 348→}\n 349→\n 350→// RemoveRole removes a role from a user's role list.\n 351→//\n 352→// Special rules:\n 353→// - Cannot remove \"manager\" role while user has assigned projects\n 354→// - Must remove all projects first before removing manager role\n 355→func (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n 356→\toldRole := strings.ToLower(queryrole)\n 357→\tuser, err := r.GetUser(username)\n 358→\tif err != nil {\n 359→\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n 360→\t\treturn err\n 361→\t}\n 362→\n 363→\texists, valid := user.HasValidRole(oldRole)\n 364→\n 365→\tif !valid {\n 366→\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n 367→\t}\n 368→\tif !exists {\n 369→\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n 370→\t}\n 371→\n 372→\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n 373→\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n 374→\t}\n 375→\n 376→\tvar newroles []string\n 377→\tfor _, r := range user.Roles {\n 378→\t\tif r != oldRole {\n 379→\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n 380→\t\t}\n 381→\t}\n 382→\n 383→\tmroles, _ := json.Marshal(newroles)\n 384→\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 385→\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n 386→\t\treturn err\n 387→\t}\n 388→\treturn nil\n 389→}\n 390→\n 391→// AddProject assigns a project to a manager user.\n 392→// Only users with the \"manager\" role can have assigned projects.\n 393→//\n 394→// Returns error if:\n 395→// - User doesn't have manager role\n 396→// - User already manages the project\n 397→func (r *UserRepository) AddProject(\n 398→\tctx context.Context,\n 399→\tusername string,\n 400→\tproject string,\n 401→) error {\n 402→\tuser, err := r.GetUser(username)\n 403→\tif err != nil {\n 404→\t\treturn err\n 405→\t}\n 406→\n 407→\tif !user.HasRole(schema.RoleManager) {\n 408→\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n 409→\t}\n 410→\n 411→\tif user.HasProject(project) {\n 412→\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n 413→\t}\n 414→\n 415→\tprojects, _ := json.Marshal(append(user.Projects, project))\n 416→\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 417→\t\treturn err\n 418→\t}\n 419→\n 420→\treturn nil\n 421→}\n 422→\n 423→func (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n 424→\tuser, err := r.GetUser(username)\n 425→\tif err != nil {\n 426→\t\treturn err\n 427→\t}\n 428→\n 429→\tif !user.HasRole(schema.RoleManager) {\n 430→\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n 431→\t}\n 432→\n 433→\tif !user.HasProject(project) {\n 434→\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n 435→\t}\n 436→\n 437→\tvar exists bool\n 438→\tvar newprojects []string\n 439→\tfor _, p := range user.Projects {\n 440→\t\tif p != project {\n 441→\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n 442→\t\t} else {\n 443→\t\t\texists = true\n 444→\t\t}\n 445→\t}\n 446→\n 447→\tif exists {\n 448→\t\tvar result any\n 449→\t\tif len(newprojects) == 0 {\n 450→\t\t\tresult = \"[]\"\n 451→\t\t} else {\n 452→\t\t\tresult, _ = json.Marshal(newprojects)\n 453→\t\t}\n 454→\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n 455→\t\t\treturn err\n 456→\t\t}\n 457→\t\treturn nil\n 458→\t} else {\n 459→\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n 460→\t}\n 461→}\n 462→\n 463→type ContextKey string\n 464→\n 465→const ContextUserKey ContextKey = \"user\"\n 466→\n 467→func GetUserFromContext(ctx context.Context) *schema.User {\n 468→\tx := ctx.Value(ContextUserKey)\n 469→\tif x == nil {\n 470→\t\tcclog.Warnf(\"no user retrieved from context\")\n 471→\t\treturn nil\n 472→\t}\n 473→\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n 474→\treturn x.(*schema.User)\n 475→}\n 476→\n 477→func (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n 478→\tme := GetUserFromContext(ctx)\n 479→\tif me != nil && me.Username != username &&\n 480→\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 481→\t\treturn nil, errors.New(\"forbidden\")\n 482→\t}\n 483→\n 484→\tuser := &model.User{Username: username}\n 485→\tvar name, email sql.NullString\n 486→\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n 487→\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n 488→\t\tif err == sql.ErrNoRows {\n 489→\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n 490→\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n 491→\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n 492→\t\t\treturn nil, nil\n 493→\t\t}\n 494→\n 495→\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n 496→\t\treturn nil, err\n 497→\t}\n 498→\n 499→\tuser.Name = name.String\n 500→\tuser.Email = email.String\n 501→\treturn user, nil\n 502→}\n 503→"}]},"uuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","timestamp":"2026-03-16T10:12:42.250Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","numLines":503,"startLine":1,"totalLines":503}},"sourceToolAssistantUUID":"ab33adee-9926-4c38-af68-7a0b5d885ff8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"26e7307a-8d39-4350-a911-4c4d39002d8f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5523},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","timestamp":"2026-03-16T10:12:42.708Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","toolUseID":"toolu_01ScKNjBXsx7mQEXVVigVhmt","timestamp":"2026-03-16T10:12:42.716Z","uuid":"5244ba36-70c4-4a68-9b01-d3cd9e9c9030","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"794d5b22-e6b4-461a-8b60-f67f3e47e371","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ScKNjBXsx7mQEXVVigVhmt","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package auth\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"net\"\n 11→\t\"net/http\"\n 12→\t\"os\"\n 13→\t\"strings\"\n 14→\t\"time\"\n 15→\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 19→\t\"github.com/go-ldap/ldap/v3\"\n 20→)\n 21→\n 22→type LdapConfig struct {\n 23→\tURL string `json:\"url\"`\n 24→\tUserBase string `json:\"user-base\"`\n 25→\tSearchDN string `json:\"search-dn\"`\n 26→\tUserBind string `json:\"user-bind\"`\n 27→\tUserFilter string `json:\"user-filter\"`\n 28→\tUserAttr string `json:\"username-attr\"`\n 29→\tUIDAttr string `json:\"uid-attr\"`\n 30→\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n 31→\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n 32→\n 33→\t// Should a non-existent user be added to the DB if user exists in ldap directory\n 34→\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n 35→\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n 36→}\n 37→\n 38→type LdapAuthenticator struct {\n 39→\tsyncPassword string\n 40→\tUserAttr string\n 41→\tUIDAttr string\n 42→}\n 43→\n 44→var _ Authenticator = (*LdapAuthenticator)(nil)\n 45→\n 46→func (la *LdapAuthenticator) Init() error {\n 47→\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n 48→\tif la.syncPassword == \"\" {\n 49→\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n 50→\t}\n 51→\n 52→\tif Keys.LdapConfig.UserAttr != \"\" {\n 53→\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n 54→\t} else {\n 55→\t\tla.UserAttr = \"gecos\"\n 56→\t}\n 57→\n 58→\tif Keys.LdapConfig.UIDAttr != \"\" {\n 59→\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n 60→\t} else {\n 61→\t\tla.UIDAttr = \"uid\"\n 62→\t}\n 63→\n 64→\treturn nil\n 65→}\n 66→\n 67→func (la *LdapAuthenticator) CanLogin(\n 68→\tuser *schema.User,\n 69→\tusername string,\n 70→\trw http.ResponseWriter,\n 71→\tr *http.Request,\n 72→) (*schema.User, bool) {\n 73→\tlc := Keys.LdapConfig\n 74→\n 75→\tif user != nil {\n 76→\t\tif user.AuthSource == schema.AuthViaLDAP {\n 77→\t\t\treturn user, true\n 78→\t\t}\n 79→\t} else if lc.SyncUserOnLogin {\n 80→\t\tl, err := la.getLdapConnection(true)\n 81→\t\tif err != nil {\n 82→\t\t\tcclog.Error(\"LDAP connection error\")\n 83→\t\t\treturn nil, false\n 84→\t\t}\n 85→\t\tdefer l.Close()\n 86→\n 87→\t\t// Search for the given username\n 88→\t\tsearchRequest := ldap.NewSearchRequest(\n 89→\t\t\tlc.UserBase,\n 90→\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n 91→\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n 92→\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n 93→\n 94→\t\tsr, err := l.Search(searchRequest)\n 95→\t\tif err != nil {\n 96→\t\t\tcclog.Warn(err)\n 97→\t\t\treturn nil, false\n 98→\t\t}\n 99→\n 100→\t\tif len(sr.Entries) != 1 {\n 101→\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n 102→\t\t\treturn nil, false\n 103→\t\t}\n 104→\n 105→\t\tentry := sr.Entries[0]\n 106→\t\tuser = &schema.User{\n 107→\t\t\tUsername: username,\n 108→\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n 109→\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n 110→\t\t\tProjects: make([]string, 0),\n 111→\t\t\tAuthType: schema.AuthSession,\n 112→\t\t\tAuthSource: schema.AuthViaLDAP,\n 113→\t\t}\n 114→\n 115→\t\thandleLdapUser(user)\n 116→\t\treturn user, true\n 117→\t}\n 118→\n 119→\treturn nil, false\n 120→}\n 121→\n 122→func (la *LdapAuthenticator) Login(\n 123→\tuser *schema.User,\n 124→\trw http.ResponseWriter,\n 125→\tr *http.Request,\n 126→) (*schema.User, error) {\n 127→\tl, err := la.getLdapConnection(false)\n 128→\tif err != nil {\n 129→\t\tcclog.Warn(\"Error while getting ldap connection\")\n 130→\t\treturn nil, err\n 131→\t}\n 132→\tdefer l.Close()\n 133→\n 134→\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n 135→\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n 136→\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n 137→\t\t\tuser.Username, err)\n 138→\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n 139→\t}\n 140→\n 141→\treturn user, nil\n 142→}\n 143→\n 144→func (la *LdapAuthenticator) Sync() error {\n 145→\tconst InDB int = 1\n 146→\tconst InLdap int = 2\n 147→\tconst InBoth int = 3\n 148→\tur := repository.GetUserRepository()\n 149→\tlc := Keys.LdapConfig\n 150→\n 151→\tusers := map[string]int{}\n 152→\tusernames, err := ur.GetLdapUsernames()\n 153→\tif err != nil {\n 154→\t\treturn err\n 155→\t}\n 156→\n 157→\tfor _, username := range usernames {\n 158→\t\tusers[username] = InDB\n 159→\t}\n 160→\n 161→\tl, err := la.getLdapConnection(true)\n 162→\tif err != nil {\n 163→\t\tcclog.Error(\"LDAP connection error\")\n 164→\t\treturn err\n 165→\t}\n 166→\tdefer l.Close()\n 167→\n 168→\tldapResults, err := l.Search(ldap.NewSearchRequest(\n 169→\t\tlc.UserBase,\n 170→\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n 171→\t\tlc.UserFilter,\n 172→\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"LDAP search error\")\n 175→\t\treturn err\n 176→\t}\n 177→\n 178→\tnewnames := map[string]string{}\n 179→\tfor _, entry := range ldapResults.Entries {\n 180→\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n 181→\t\tif username == \"\" {\n 182→\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n 183→\t\t}\n 184→\n 185→\t\t_, ok := users[username]\n 186→\t\tif !ok {\n 187→\t\t\tusers[username] = InLdap\n 188→\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n 189→\t\t} else {\n 190→\t\t\tusers[username] = InBoth\n 191→\t\t}\n 192→\t}\n 193→\n 194→\tfor username, where := range users {\n 195→\t\tif where == InDB && lc.SyncDelOldUsers {\n 196→\t\t\tif err := ur.DelUser(username); err != nil {\n 197→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n 198→\t\t\t\treturn err\n 199→\t\t\t}\n 200→\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n 201→\t\t} else if where == InLdap {\n 202→\t\t\tname := newnames[username]\n 203→\n 204→\t\t\tuser := &schema.User{\n 205→\t\t\t\tUsername: username,\n 206→\t\t\t\tName: name,\n 207→\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n 208→\t\t\t\tProjects: make([]string, 0),\n 209→\t\t\t\tAuthSource: schema.AuthViaLDAP,\n 210→\t\t\t}\n 211→\n 212→\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n 213→\t\t\tif err := ur.AddUser(user); err != nil {\n 214→\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n 215→\t\t\t\treturn err\n 216→\t\t\t}\n 217→\t\t}\n 218→\t}\n 219→\n 220→\treturn nil\n 221→}\n 222→\n 223→func (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n 224→\tlc := Keys.LdapConfig\n 225→\tconn, err := ldap.DialURL(lc.URL,\n 226→\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n 227→\tif err != nil {\n 228→\t\tcclog.Warn(\"LDAP URL dial failed\")\n 229→\t\treturn nil, err\n 230→\t}\n 231→\tconn.SetTimeout(30 * time.Second)\n 232→\n 233→\tif admin {\n 234→\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n 235→\t\t\tconn.Close()\n 236→\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n 237→\t\t\treturn nil, err\n 238→\t\t}\n 239→\t}\n 240→\n 241→\treturn conn, nil\n 242→}\n 243→"}]},"uuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","timestamp":"2026-03-16T10:12:42.716Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL string `json:\"url\"`\n\tUserBase string `json:\"user-base\"`\n\tSearchDN string `json:\"search-dn\"`\n\tUserBind string `json:\"user-bind\"`\n\tUserFilter string `json:\"user-filter\"`\n\tUserAttr string `json:\"username-attr\"`\n\tUIDAttr string `json:\"uid-attr\"`\n\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr string\n\tUIDAttr string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername: username,\n\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects: make([]string, 0),\n\t\t\tAuthType: schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername: username,\n\t\t\t\tName: name,\n\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects: make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","numLines":243,"startLine":1,"totalLines":243}},"sourceToolAssistantUUID":"794d5b22-e6b4-461a-8b60-f67f3e47e371","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"88e19298-997f-4e34-93a8-9b98c3bbbe57","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q8R3VBJ6od6rSRpjL3B86T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5523,"cache_read_input_tokens":14298,"output_tokens":612,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":5523,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6adHXaxDthZgwNXUB4V","type":"assistant","uuid":"e001baa9-61e4-45ac-b202-53caad8b525f","timestamp":"2026-03-16T10:12:42.897Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","toolUseID":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","timestamp":"2026-03-16T10:12:42.900Z","uuid":"45bfe7b4-262d-4568-9253-43644d5ae91f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"e001baa9-61e4-45ac-b202-53caad8b525f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpAw7qx8NsDwkEM2UaDjvA","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→"}]},"uuid":"b1410bed-082c-4942-bdc0-f810e807e257","timestamp":"2026-03-16T10:12:42.900Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","numLines":214,"startLine":1,"totalLines":214}},"sourceToolAssistantUUID":"e001baa9-61e4-45ac-b202-53caad8b525f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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Let me implement all 5 fixes now.\n\n**Fix 1: busy_timeout** — config + connection + sqlite archive"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":46892,"cache_read_input_tokens":19821,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46892},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6adsCPYAT9vZGRkhxpp","type":"assistant","uuid":"c2f29743-2fdd-492f-848b-696b290d9004","timestamp":"2026-03-16T10:12:50.368Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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duration before returning SQLITE_BUSY.\n\t// Default: 60000 (60 seconds)\n\tBusyTimeoutMs int\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. 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configuration instance.\n// It is initialized with defaults and can be overridden via SetConfig.\nvar repoConfig *RepositoryConfig = DefaultConfig()\n\n// SetConfig sets the repository configuration.\n// This must be called before any repository initialization (Connect, GetJobRepository, etc.).\n// If not called, default values from DefaultConfig() are used.\nfunc SetConfig(cfg *RepositoryConfig) {\n\tif cfg != nil {\n\t\trepoConfig = cfg\n\t}\n}\n\n// GetConfig returns the current repository configuration.\nfunc GetConfig() *RepositoryConfig {\n\treturn repoConfig\n}\n","structuredPatch":[{"oldStart":46,"oldLines":6,"newStart":46,"newLines":12,"lines":[" // It's a soft limit — queries won't fail, but cache eviction becomes more aggressive."," // Default: 16384 (16GB)"," DbSoftHeapLimitMB int","+","+ // BusyTimeoutMs is the SQLite busy_timeout in milliseconds.","+ // When a write is blocked by another writer, SQLite retries internally","+ // using a backoff mechanism for up to this 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport \"time\"\n\n// RepositoryConfig holds configuration for repository operations.\n// All fields have sensible defaults, so this configuration is optional.\ntype RepositoryConfig struct {\n\t// CacheSize is the LRU cache size in bytes for job metadata and energy footprints.\n\t// Default: 1MB (1024 * 1024 bytes)\n\tCacheSize int\n\n\t// MaxOpenConnections is the maximum number of open database connections.\n\t// Default: 4\n\tMaxOpenConnections int\n\n\t// MaxIdleConnections is the maximum number of idle database connections.\n\t// Default: 4\n\tMaxIdleConnections int\n\n\t// ConnectionMaxLifetime is the maximum amount of time a connection may be reused.\n\t// Default: 1 hour\n\tConnectionMaxLifetime time.Duration\n\n\t// ConnectionMaxIdleTime is the maximum amount of time a connection may be idle.\n\t// Default: 10 minutes\n\tConnectionMaxIdleTime time.Duration\n\n\t// MinRunningJobDuration is the minimum duration in seconds for a job to be\n\t// considered in \"running jobs\" queries. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"fmt\"\n\t\"net/url\"\n\t\"sync\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"github.com/mattn/go-sqlite3\"\n\t\"github.com/qustavo/sqlhooks/v2\"\n)\n\nvar (\n\tdbConnOnce sync.Once\n\tdbConnInstance *DBConnection\n)\n\ntype DBConnection struct {\n\tDB *sqlx.DB\n\tDriver string\n}\n\ntype DatabaseOptions struct {\n\tURL string\n\tMaxOpenConnections int\n\tMaxIdleConnections int\n\tConnectionMaxLifetime time.Duration\n\tConnectionMaxIdleTime time.Duration\n}\n\nfunc setupSqlite(db *sql.DB, cfg *RepositoryConfig) error {\n\tpragmas := []string{\n\t\t\"temp_store = memory\",\n\t\tfmt.Sprintf(\"soft_heap_limit = %d\", int64(cfg.DbSoftHeapLimitMB)*1024*1024),\n\t}\n\n\tfor _, pragma := range pragmas {\n\t\t_, err := db.Exec(\"PRAGMA \" + pragma)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc Connect(db string) {\n\tvar err error\n\tvar dbHandle *sqlx.DB\n\n\tdbConnOnce.Do(func() {\n\t\topts := DatabaseOptions{\n\t\t\tURL: db,\n\t\t\tMaxOpenConnections: repoConfig.MaxOpenConnections,\n\t\t\tMaxIdleConnections: repoConfig.MaxIdleConnections,\n\t\t\tConnectionMaxLifetime: repoConfig.ConnectionMaxLifetime,\n\t\t\tConnectionMaxIdleTime: repoConfig.ConnectionMaxIdleTime,\n\t\t}\n\n\t\t// TODO: Have separate DB handles for Writes and Reads\n\t\t// Optimize SQLite connection: https://kerkour.com/sqlite-for-servers\n\t\tconnectionURLParams := make(url.Values)\n\t\tconnectionURLParams.Add(\"_txlock\", \"immediate\")\n\t\tconnectionURLParams.Add(\"_journal_mode\", \"WAL\")\n\t\tconnectionURLParams.Add(\"_busy_timeout\", \"5000\")\n\t\tconnectionURLParams.Add(\"_synchronous\", \"NORMAL\")\n\t\tcacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB\n\t\tconnectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))\n\t\tconnectionURLParams.Add(\"_foreign_keys\", \"true\")\n\t\topts.URL = fmt.Sprintf(\"file:%s?%s\", opts.URL, connectionURLParams.Encode())\n\n\t\tif cclog.Loglevel() == \"debug\" {\n\t\t\tsql.Register(\"sqlite3WithHooks\", sqlhooks.Wrap(&sqlite3.SQLiteDriver{}, &Hooks{}))\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3WithHooks\", opts.URL)\n\t\t} else {\n\t\t\tdbHandle, err = sqlx.Open(\"sqlite3\", opts.URL)\n\t\t}\n\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Could not connect to SQLite database with sqlx.Open().\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\terr = setupSqlite(dbHandle.DB, repoConfig)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"Failed sqlite db setup.\\nError: %s\\n\", err.Error())\n\t\t}\n\n\t\tcclog.Infof(\"SQLite config: cache_size=%dMB/conn, soft_heap_limit=%dMB, max_conns=%d\",\n\t\t\trepoConfig.DbCacheSizeMB, repoConfig.DbSoftHeapLimitMB, repoConfig.MaxOpenConnections)\n\n\t\tdbHandle.SetMaxOpenConns(opts.MaxOpenConnections)\n\t\tdbHandle.SetMaxIdleConns(opts.MaxIdleConnections)\n\t\tdbHandle.SetConnMaxLifetime(opts.ConnectionMaxLifetime)\n\t\tdbHandle.SetConnMaxIdleTime(opts.ConnectionMaxIdleTime)\n\n\t\tdbConnInstance = &DBConnection{DB: dbHandle}\n\t\terr = checkDBVersion(dbHandle.DB)\n\t\tif err != nil {\n\t\t\tcclog.Abortf(\"DB Connection: Failed DB version check.\\nError: %s\\n\", err.Error())\n\t\t}\n\t})\n}\n\nfunc GetConnection() *DBConnection {\n\tif dbConnInstance == nil {\n\t\tcclog.Fatalf(\"Database connection not initialized!\")\n\t}\n\n\treturn dbConnInstance\n}\n\n// ResetConnection closes the current database connection and resets the connection state.\n// This function is intended for testing purposes only to allow test isolation.\nfunc ResetConnection() error {\n\tif dbConnInstance != nil && dbConnInstance.DB != nil {\n\t\tif err := dbConnInstance.DB.Close(); err != nil {\n\t\t\treturn fmt.Errorf(\"failed to close database connection: %w\", err)\n\t\t}\n\t}\n\n\tdbConnInstance = nil\n\tdbConnOnce = sync.Once{}\n\tjobRepoInstance = nil\n\tjobRepoOnce = sync.Once{}\n\tnodeRepoInstance = nil\n\tnodeRepoOnce = sync.Once{}\n\tuserRepoInstance = nil\n\tuserRepoOnce = sync.Once{}\n\tuserCfgRepoInstance = nil\n\tuserCfgRepoOnce = sync.Once{}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":70,"oldLines":7,"newStart":70,"newLines":7,"lines":[" connectionURLParams := make(url.Values)"," connectionURLParams.Add(\"_txlock\", \"immediate\")"," connectionURLParams.Add(\"_journal_mode\", \"WAL\")","- connectionURLParams.Add(\"_busy_timeout\", \"5000\")","+ connectionURLParams.Add(\"_busy_timeout\", fmt.Sprintf(\"%d\", repoConfig.BusyTimeoutMs))"," connectionURLParams.Add(\"_synchronous\", \"NORMAL\")"," cacheSizeKiB := repoConfig.DbCacheSizeMB * 1024 // Convert MB to KiB"," connectionURLParams.Add(\"_cache_size\", fmt.Sprintf(\"-%d\", cacheSizeKiB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"61721dc8-d1c5-4347-931f-d7051b5cc537","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4b0b2cf9-5197-4b79-9069-77d8684092c6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_013VAzs3usxwd9iqdNSds5yz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","old_string":"\t\t\"PRAGMA busy_timeout=5000\",","new_string":"\t\t\"PRAGMA busy_timeout=60000\","},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":46892,"cache_read_input_tokens":19821,"output_tokens":1012,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":46892,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6adsCPYAT9vZGRkhxpp","type":"assistant","uuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","timestamp":"2026-03-16T10:13:00.499Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","toolUseID":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","timestamp":"2026-03-16T10:13:00.522Z","uuid":"d48763f7-188b-4f21-a369-ed9a3a41d910","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DKfMUeEpVGdA1euzr8Dj7K","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go has been updated successfully."}]},"uuid":"3a22cc93-0b68-43a4-963f-6c4264c043db","timestamp":"2026-03-16T10:13:00.521Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/archive/sqliteBackend.go","oldString":"\t\t\"PRAGMA busy_timeout=5000\",","newString":"\t\t\"PRAGMA busy_timeout=60000\",","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage archive\n\nimport (\n\t\"bytes\"\n\t\"compress/gzip\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"slices\"\n\t\"strconv\"\n\t\"sync\"\n\t\"text/tabwriter\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t_ \"github.com/mattn/go-sqlite3\"\n)\n\n// SqliteArchiveConfig holds the configuration for the SQLite archive backend.\ntype SqliteArchiveConfig struct {\n\tDBPath string `json:\"db-path\"` // Path to SQLite database file\n}\n\n// SqliteArchive implements ArchiveBackend using a SQLite database with BLOB storage.\n// Job metadata and data are stored as JSON BLOBs with indexes for fast queries.\n//\n// Uses WAL (Write-Ahead Logging) mode for better concurrency and a 64MB cache.\ntype SqliteArchive struct {\n\tdb *sql.DB // SQLite database connection\n\tclusters []string // List of discovered cluster names\n}\n\n// sqliteSchema defines the database schema for SQLite archive backend.\n// Jobs table: stores job metadata and data as BLOBs with compression flag\n// Clusters table: stores cluster configurations\n// Metadata table: stores version and other key-value pairs\nconst sqliteSchema = `\nCREATE TABLE IF NOT EXISTS jobs (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n job_id INTEGER NOT NULL,\n cluster TEXT NOT NULL,\n start_time INTEGER NOT NULL,\n meta_json BLOB NOT NULL,\n data_json BLOB,\n data_compressed BOOLEAN DEFAULT 0,\n created_at INTEGER NOT NULL,\n updated_at INTEGER NOT NULL,\n UNIQUE(job_id, cluster, start_time)\n);\n\nCREATE INDEX IF NOT EXISTS idx_jobs_cluster ON jobs(cluster);\nCREATE INDEX IF NOT EXISTS idx_jobs_start_time ON jobs(start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_order ON jobs(cluster, start_time);\nCREATE INDEX IF NOT EXISTS idx_jobs_lookup ON jobs(cluster, job_id, start_time);\n\nCREATE TABLE IF NOT EXISTS clusters (\n name TEXT PRIMARY KEY,\n config_json BLOB NOT NULL,\n updated_at INTEGER NOT NULL\n);\n\nCREATE TABLE IF NOT EXISTS metadata (\n key TEXT PRIMARY KEY,\n value TEXT NOT NULL\n);\n`\n\nfunc (sa *SqliteArchive) Init(rawConfig json.RawMessage) (uint64, error) {\n\tvar cfg SqliteArchiveConfig\n\tif err := json.Unmarshal(rawConfig, &cfg); err != nil {\n\t\tcclog.Warnf(\"SqliteArchive Init() > Unmarshal error: %#v\", err)\n\t\treturn 0, err\n\t}\n\n\tif cfg.DBPath == \"\" {\n\t\terr := fmt.Errorf(\"SqliteArchive Init(): empty database path\")\n\t\tcclog.Errorf(\"SqliteArchive Init() > config error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Open SQLite database\n\tdb, err := sql.Open(\"sqlite3\", cfg.DBPath)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to open database: %v\", err)\n\t\treturn 0, err\n\t}\n\tsa.db = db\n\n\t// Set pragmas for better performance\n\tpragmas := []string{\n\t\t\"PRAGMA journal_mode=WAL\",\n\t\t\"PRAGMA synchronous=NORMAL\",\n\t\t\"PRAGMA cache_size=-64000\", // 64MB cache\n\t\t\"PRAGMA busy_timeout=5000\",\n\t}\n\tfor _, pragma := range pragmas {\n\t\tif _, err := sa.db.Exec(pragma); err != nil {\n\t\t\tcclog.Warnf(\"SqliteArchive Init() > pragma failed: %v\", err)\n\t\t}\n\t}\n\n\t// Create schema\n\tif _, err := sa.db.Exec(sqliteSchema); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > schema creation failed: %v\", err)\n\t\treturn 0, err\n\t}\n\n\t// Check/set version\n\tvar versionStr string\n\terr = sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'version'\").Scan(&versionStr)\n\tif err == sql.ErrNoRows {\n\t\t// First time initialization, set version\n\t\t_, err = sa.db.Exec(\"INSERT INTO metadata (key, value) VALUES ('version', ?)\", fmt.Sprintf(\"%d\", Version))\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to set version: %v\", err)\n\t\t\treturn 0, err\n\t\t}\n\t\tversionStr = fmt.Sprintf(\"%d\", Version)\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to read version: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tversion, err := strconv.ParseUint(versionStr, 10, 64)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > version parse error: %v\", err)\n\t\treturn 0, err\n\t}\n\n\tif version != Version {\n\t\treturn version, fmt.Errorf(\"unsupported version %d, need %d\", version, Version)\n\t}\n\n\t// Discover clusters\n\tsa.clusters = []string{}\n\trows, err := sa.db.Query(\"SELECT DISTINCT cluster FROM jobs ORDER BY cluster\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Init() > failed to query clusters: %v\", err)\n\t\treturn 0, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tif err := rows.Scan(&cluster); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Init() > failed to scan cluster: %v\", err)\n\t\t\tcontinue\n\t\t}\n\t\tsa.clusters = append(sa.clusters, cluster)\n\t}\n\n\tcclog.Infof(\"SqliteArchive initialized with database '%s', found %d clusters\", cfg.DBPath, len(sa.clusters))\n\treturn version, nil\n}\n\nfunc (sa *SqliteArchive) Info() {\n\tfmt.Printf(\"SQLite Job archive database\\n\")\n\n\tci := make(map[string]*clusterInfo)\n\n\trows, err := sa.db.Query(`\n\t\tSELECT cluster, COUNT(*), MIN(start_time), MAX(start_time),\n\t\t SUM(LENGTH(meta_json) + COALESCE(LENGTH(data_json), 0))\n\t\tFROM jobs\n\t\tGROUP BY cluster\n\t`)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Info() > query failed: %s\", err.Error())\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar cluster string\n\t\tvar numJobs int\n\t\tvar dateFirst, dateLast int64\n\t\tvar diskSize int64\n\n\t\tif err := rows.Scan(&cluster, &numJobs, &dateFirst, &dateLast, &diskSize); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Info() > scan failed: %v\", err)\n\t\t\tcontinue\n\t\t}\n\n\t\tci[cluster] = &clusterInfo{\n\t\t\tnumJobs: numJobs,\n\t\t\tdateFirst: dateFirst,\n\t\t\tdateLast: dateLast,\n\t\t\tdiskSize: float64(diskSize) / (1024 * 1024), // Convert to MB\n\t\t}\n\t}\n\n\tcit := clusterInfo{dateFirst: time.Now().Unix()}\n\tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', tabwriter.Debug)\n\tfmt.Fprintln(w, \"cluster\\t#jobs\\tfrom\\tto\\tsize (MB)\")\n\tfor cluster, clusterInfo := range ci {\n\t\tfmt.Fprintf(w, \"%s\\t%d\\t%s\\t%s\\t%.2f\\n\", cluster,\n\t\t\tclusterInfo.numJobs,\n\t\t\ttime.Unix(clusterInfo.dateFirst, 0),\n\t\t\ttime.Unix(clusterInfo.dateLast, 0),\n\t\t\tclusterInfo.diskSize)\n\n\t\tcit.numJobs += clusterInfo.numJobs\n\t\tcit.dateFirst = util.Min(cit.dateFirst, clusterInfo.dateFirst)\n\t\tcit.dateLast = util.Max(cit.dateLast, clusterInfo.dateLast)\n\t\tcit.diskSize += clusterInfo.diskSize\n\t}\n\n\tfmt.Fprintf(w, \"TOTAL\\t%d\\t%s\\t%s\\t%.2f\\n\",\n\t\tcit.numJobs, time.Unix(cit.dateFirst, 0), time.Unix(cit.dateLast, 0), cit.diskSize)\n\tw.Flush()\n}\n\nfunc (sa *SqliteArchive) Exists(job *schema.Job) bool {\n\tvar count int\n\terr := sa.db.QueryRow(\"SELECT COUNT(*) FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&count)\n\treturn err == nil && count > 0\n}\n\nfunc (sa *SqliteArchive) LoadJobMeta(job *schema.Job) (*schema.Job, error) {\n\tvar metaBlob []byte\n\terr := sa.db.QueryRow(\"SELECT meta_json FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&metaBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobMeta() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.Meta, bytes.NewReader(metaBlob)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job meta: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeJobMeta(bytes.NewReader(metaBlob))\n}\n\nfunc (sa *SqliteArchive) LoadJobData(job *schema.Job) (schema.JobData, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobData() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn schema.JobData{}, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobData(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobData(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadJobStats(job *schema.Job) (schema.ScopedJobStats, error) {\n\tvar dataBlob []byte\n\tvar compressed bool\n\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\n\tvar reader io.Reader = bytes.NewReader(dataBlob)\n\tif compressed {\n\t\tgzipReader, err := gzip.NewReader(reader)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive LoadJobStats() > gzip error: %v\", err)\n\t\t\treturn nil, err\n\t\t}\n\t\tdefer gzipReader.Close()\n\t\treader = gzipReader\n\t}\n\n\tif config.Keys.Validate {\n\t\tdata, _ := io.ReadAll(reader)\n\t\tif err := schema.Validate(schema.Data, bytes.NewReader(data)); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"validate job data: %v\", err)\n\t\t}\n\t\treturn DecodeJobStats(bytes.NewReader(data), key)\n\t}\n\n\treturn DecodeJobStats(reader, key)\n}\n\nfunc (sa *SqliteArchive) LoadClusterCfg(name string) (*schema.Cluster, error) {\n\tvar configBlob []byte\n\terr := sa.db.QueryRow(\"SELECT config_json FROM clusters WHERE name = ?\", name).Scan(&configBlob)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive LoadClusterCfg() > query error: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif config.Keys.Validate {\n\t\tif err := schema.Validate(schema.ClusterCfg, bytes.NewReader(configBlob)); err != nil {\n\t\t\tcclog.Warnf(\"Validate cluster config: %v\\n\", err)\n\t\t\treturn &schema.Cluster{}, fmt.Errorf(\"validate cluster config: %v\", err)\n\t\t}\n\t}\n\n\treturn DecodeCluster(bytes.NewReader(configBlob))\n}\n\nfunc (sa *SqliteArchive) StoreJobMeta(job *schema.Job) error {\n\tvar metaBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, job); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreJobMeta() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, job.JobID, job.Cluster, job.StartTime, metaBuf.Bytes(), now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreJobMeta() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) ImportJob(jobMeta *schema.Job, jobData *schema.JobData) error {\n\tvar metaBuf, dataBuf bytes.Buffer\n\tif err := EncodeJobMeta(&metaBuf, jobMeta); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding meta error\")\n\t\treturn err\n\t}\n\tif err := EncodeJobData(&dataBuf, jobData); err != nil {\n\t\tcclog.Error(\"SqliteArchive ImportJob() > encoding data error\")\n\t\treturn err\n\t}\n\n\tvar dataBytes []byte\n\tvar compressed bool\n\n\tif dataBuf.Len() > 2000 {\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBuf.Bytes()); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip write error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tif err := gzipWriter.Close(); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive ImportJob() > gzip close error: %v\", err)\n\t\t\treturn err\n\t\t}\n\t\tdataBytes = compressedBuf.Bytes()\n\t\tcompressed = true\n\t} else {\n\t\tdataBytes = dataBuf.Bytes()\n\t\tcompressed = false\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO jobs (job_id, cluster, start_time, meta_json, data_json, data_compressed, created_at, updated_at)\n\t\tVALUES (?, ?, ?, ?, ?, ?, ?, ?)\n\t\tON CONFLICT(job_id, cluster, start_time) DO UPDATE SET\n\t\t\tmeta_json = excluded.meta_json,\n\t\t\tdata_json = excluded.data_json,\n\t\t\tdata_compressed = excluded.data_compressed,\n\t\t\tupdated_at = excluded.updated_at\n\t`, jobMeta.JobID, jobMeta.Cluster, jobMeta.StartTime, metaBuf.Bytes(), dataBytes, compressed, now, now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive ImportJob() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (sa *SqliteArchive) GetClusters() []string {\n\treturn sa.clusters\n}\n\nfunc (sa *SqliteArchive) CleanUp(jobs []*schema.Job) {\n\tstart := time.Now()\n\tcount := 0\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"DELETE FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tif job == nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() error: job is nil\")\n\t\t\tcontinue\n\t\t}\n\n\t\tif _, err := stmt.Exec(job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CleanUp() > delete error: %v\", err)\n\t\t} else {\n\t\t\tcount++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CleanUp() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Retention Service - Remove %d jobs from SQLite in %s\", count, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) Move(jobs []*schema.Job, targetPath string) {\n\t// For SQLite, \"move\" means updating the cluster field or similar\n\t// This is interpretation-dependent; for now we'll just log\n\tcclog.Warnf(\"SqliteArchive Move() is not fully implemented - moves within database not applicable\")\n}\n\nfunc (sa *SqliteArchive) Clean(before int64, after int64) {\n\tif after == 0 {\n\t\tafter = math.MaxInt64\n\t}\n\n\tresult, err := sa.db.Exec(\"DELETE FROM jobs WHERE start_time < ? OR start_time > ?\", before, after)\n\tif err != nil {\n\t\tcclog.Fatalf(\"SqliteArchive Clean() > delete error: %s\", err.Error())\n\t}\n\n\trowsAffected, _ := result.RowsAffected()\n\tcclog.Infof(\"SqliteArchive Clean() removed %d jobs\", rowsAffected)\n}\n\nfunc (sa *SqliteArchive) Compress(jobs []*schema.Job) {\n\tvar cnt int\n\tstart := time.Now()\n\n\ttx, err := sa.db.Begin()\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > transaction error: %v\", err)\n\t\treturn\n\t}\n\tdefer tx.Rollback()\n\n\tstmt, err := tx.Prepare(\"UPDATE jobs SET data_json = ?, data_compressed = 1 WHERE job_id = ? AND cluster = ? AND start_time = ?\")\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > prepare error: %v\", err)\n\t\treturn\n\t}\n\tdefer stmt.Close()\n\n\tfor _, job := range jobs {\n\t\tvar dataBlob []byte\n\t\tvar compressed bool\n\t\terr := sa.db.QueryRow(\"SELECT data_json, data_compressed FROM jobs WHERE job_id = ? AND cluster = ? AND start_time = ?\",\n\t\t\tjob.JobID, job.Cluster, job.StartTime).Scan(&dataBlob, &compressed)\n\t\tif err != nil || compressed || len(dataBlob) < 2000 {\n\t\t\tcontinue // Skip if error, already compressed, or too small\n\t\t}\n\n\t\t// Compress the data\n\t\tvar compressedBuf bytes.Buffer\n\t\tgzipWriter := gzip.NewWriter(&compressedBuf)\n\t\tif _, err := gzipWriter.Write(dataBlob); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > gzip error: %v\", err)\n\t\t\tgzipWriter.Close()\n\t\t\tcontinue\n\t\t}\n\t\tgzipWriter.Close()\n\n\t\tif _, err := stmt.Exec(compressedBuf.Bytes(), job.JobID, job.Cluster, job.StartTime); err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive Compress() > update error: %v\", err)\n\t\t} else {\n\t\t\tcnt++\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SqliteArchive Compress() > commit error: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"Compression Service - %d jobs in SQLite took %s\", cnt, time.Since(start))\n}\n\nfunc (sa *SqliteArchive) CompressLast(starttime int64) int64 {\n\tvar lastStr string\n\terr := sa.db.QueryRow(\"SELECT value FROM metadata WHERE key = 'compress_last'\").Scan(&lastStr)\n\n\tvar last int64\n\tif err == sql.ErrNoRows {\n\t\tlast = starttime\n\t} else if err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > query error: %v\", err)\n\t\tlast = starttime\n\t} else {\n\t\tlast, err = strconv.ParseInt(lastStr, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"SqliteArchive CompressLast() > parse error: %v\", err)\n\t\t\tlast = starttime\n\t\t}\n\t}\n\n\tcclog.Infof(\"SqliteArchive CompressLast() - start %d last %d\", starttime, last)\n\n\t// Update timestamp\n\t_, err = sa.db.Exec(`\n\t\tINSERT INTO metadata (key, value) VALUES ('compress_last', ?)\n\t\tON CONFLICT(key) DO UPDATE SET value = excluded.value\n\t`, fmt.Sprintf(\"%d\", starttime))\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive CompressLast() > update error: %v\", err)\n\t}\n\n\treturn last\n}\n\ntype sqliteJobRow struct {\n\tmetaBlob []byte\n\tdataBlob []byte\n\tcompressed bool\n}\n\nfunc (sa *SqliteArchive) Iter(loadMetricData bool) <-chan JobContainer {\n\tch := make(chan JobContainer)\n\n\tgo func() {\n\t\tdefer close(ch)\n\n\t\tconst chunkSize = 1000\n\t\toffset := 0\n\n\t\tvar query string\n\t\tif loadMetricData {\n\t\t\tquery = \"SELECT meta_json, data_json, data_compressed FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t} else {\n\t\t\tquery = \"SELECT meta_json FROM jobs ORDER BY cluster, start_time LIMIT ? OFFSET ?\"\n\t\t}\n\n\t\tnumWorkers := 4\n\t\tjobRows := make(chan sqliteJobRow, numWorkers*2)\n\t\tvar wg sync.WaitGroup\n\n\t\tfor range numWorkers {\n\t\t\twg.Go(func() {\n\t\t\t\tfor row := range jobRows {\n\t\t\t\t\tjob, err := DecodeJobMeta(bytes.NewReader(row.metaBlob))\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode meta error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tif loadMetricData && row.dataBlob != nil {\n\t\t\t\t\t\tvar reader io.Reader = bytes.NewReader(row.dataBlob)\n\t\t\t\t\t\tif row.compressed {\n\t\t\t\t\t\t\tgzipReader, err := gzip.NewReader(reader)\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > gzip error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tdecompressed, err := io.ReadAll(gzipReader)\n\t\t\t\t\t\t\tgzipReader.Close()\n\t\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decompress error: %v\", err)\n\t\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\treader = bytes.NewReader(decompressed)\n\t\t\t\t\t\t}\n\n\t\t\t\t\t\tkey := fmt.Sprintf(\"%s:%d:%d\", job.Cluster, job.JobID, job.StartTime)\n\t\t\t\t\t\tjobData, err := DecodeJobData(reader, key)\n\t\t\t\t\t\tif err != nil {\n\t\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > decode data error: %v\", err)\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: &jobData}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tch <- JobContainer{Meta: job, Data: nil}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t})\n\t\t}\n\n\t\tfor {\n\t\t\trows, err := sa.db.Query(query, chunkSize, offset)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Fatalf(\"SqliteArchive Iter() > query error: %s\", err.Error())\n\t\t\t}\n\n\t\t\trowCount := 0\n\t\t\tfor rows.Next() {\n\t\t\t\tvar row sqliteJobRow\n\n\t\t\t\tif loadMetricData {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob, &row.dataBlob, &row.compressed); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif err := rows.Scan(&row.metaBlob); err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"SqliteArchive Iter() > scan error: %v\", err)\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\trow.dataBlob = nil\n\t\t\t\t\trow.compressed = false\n\t\t\t\t}\n\n\t\t\t\tjobRows <- row\n\t\t\t\trowCount++\n\t\t\t}\n\t\t\trows.Close()\n\n\t\t\tif rowCount < chunkSize {\n\t\t\t\tbreak\n\t\t\t}\n\n\t\t\toffset += chunkSize\n\t\t}\n\n\t\tclose(jobRows)\n\t\twg.Wait()\n\t}()\n\n\treturn ch\n}\n\nfunc (sa *SqliteArchive) StoreClusterCfg(name string, config *schema.Cluster) error {\n\tvar configBuf bytes.Buffer\n\tif err := EncodeCluster(&configBuf, config); err != nil {\n\t\tcclog.Error(\"SqliteArchive StoreClusterCfg() > encoding error\")\n\t\treturn err\n\t}\n\n\tnow := time.Now().Unix()\n\t_, err := sa.db.Exec(`\n\t\tINSERT INTO clusters (name, config_json, updated_at)\n\t\tVALUES (?, ?, ?)\n\t\tON CONFLICT(name) DO UPDATE SET\n\t\t\tconfig_json = excluded.config_json,\n\t\t\tupdated_at = excluded.updated_at\n\t`, name, configBuf.Bytes(), now)\n\tif err != nil {\n\t\tcclog.Errorf(\"SqliteArchive StoreClusterCfg() > insert error: %v\", err)\n\t\treturn err\n\t}\n\n\t// Update clusters list if new\n\tfound := slices.Contains(sa.clusters, name)\n\tif !found {\n\t\tsa.clusters = append(sa.clusters, name)\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":102,"oldLines":7,"newStart":102,"newLines":7,"lines":[" \"PRAGMA journal_mode=WAL\","," \"PRAGMA synchronous=NORMAL\","," \"PRAGMA cache_size=-64000\", // 64MB cache","- \"PRAGMA busy_timeout=5000\",","+ \"PRAGMA busy_timeout=60000\","," }"," for _, pragma := range pragmas {"," if _, err := sa.db.Exec(pragma); err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"94ecafb1-e6a3-48e2-bfe6-f8d44e7872e4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3a22cc93-0b68-43a4-963f-6c4264c043db","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 3: LDAP sync race condition** — AddUserIfNotExists + ldap.go change"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1320},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","timestamp":"2026-03-16T10:13:04.234Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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+{"parentUuid":"bd80c015-d925-4dda-9ef4-c17de72e4519","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqcSrvVk89yR55JTjfVyqJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","old_string":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","new_string":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error 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successfully."}]},"uuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","timestamp":"2026-03-16T10:13:08.825Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/user.go","oldString":"func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","newString":"// AddUserIfNotExists inserts a user only if the username does not already exist.\n// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is\n// concurrently created (e.g., by a login while LDAP sync is running).\n// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.\nfunc (r *UserRepository) AddUserIfNotExists(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := \"username, name, roles, projects, ldap\"\n\t_, err := r.DB.Exec(\n\t\t`INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,\n\t\tuser.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))\n\treturn err\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"reflect\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n\t\"golang.org/x/crypto/bcrypt\"\n)\n\n// Authentication and Role System:\n//\n// ClusterCockpit supports multiple authentication sources:\n// - Local: Username/password stored in database (password hashed with bcrypt)\n// - LDAP: External LDAP/Active Directory authentication\n// - JWT: Token-based authentication for API access\n//\n// Role Hierarchy (from highest to lowest privilege):\n// 1. \"admin\" - Full system access, can manage all users and jobs\n// 2. \"support\" - Can view all jobs but limited management capabilities\n// 3. \"manager\" - Can manage specific projects and their users\n// 4. \"api\" - Programmatic access for job submission/management\n// 5. \"user\" - Default role, can only view own jobs\n//\n// Project Association:\n// - Managers have a list of projects they oversee\n// - Regular users' project membership is determined by job data\n// - Managers can view/manage all jobs within their projects\n\nvar (\n\tuserRepoOnce sync.Once\n\tuserRepoInstance *UserRepository\n)\n\ntype UserRepository struct {\n\tDB *sqlx.DB\n\tdriver string\n}\n\nfunc GetUserRepository() *UserRepository {\n\tuserRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tuserRepoInstance = &UserRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\t\t}\n\t})\n\treturn userRepoInstance\n}\n\n// GetUser retrieves a user by username from the database.\n// Returns the complete user record including hashed password, roles, and projects.\n// Password field contains bcrypt hash for local auth users, empty for LDAP users.\nfunc (r *UserRepository) GetUser(username string) (*schema.User, error) {\n\tuser := &schema.User{Username: username}\n\tvar hashedPassword, name, rawRoles, email, rawProjects sql.NullString\n\tif err := sq.Select(\"password\", \"ldap\", \"name\", \"roles\", \"email\", \"projects\").From(\"hpc_user\").\n\t\tWhere(\"hpc_user.username = ?\", username).RunWith(r.DB).\n\t\tQueryRow().Scan(&hashedPassword, &user.AuthSource, &name, &rawRoles, &email, &rawProjects); err != nil {\n\t\tcclog.Warnf(\"Error while querying user '%v' from database\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Password = hashedPassword.String\n\tuser.Name = name.String\n\tuser.Email = email.String\n\tif rawRoles.Valid {\n\t\tif err := json.Unmarshal([]byte(rawRoles.String), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw roles from DB\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\tif rawProjects.Valid {\n\t\tif err := json.Unmarshal([]byte(rawProjects.String), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn user, nil\n}\n\nfunc (r *UserRepository) GetLdapUsernames() ([]string, error) {\n\tvar users []string\n\trows, err := r.DB.Query(`SELECT username FROM hpc_user WHERE hpc_user.ldap = 1`)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying usernames\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tfor rows.Next() {\n\t\tvar username string\n\t\tif err := rows.Scan(&username); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning for user '%s'\", username)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tusers = append(users, username)\n\t}\n\n\treturn users, nil\n}\n\n// AddUser creates a new user in the database.\n// Passwords are automatically hashed with bcrypt before storage.\n// Auth source determines authentication method (local, LDAP, etc.).\n//\n// Required fields: Username, Roles\n// Optional fields: Name, Email, Password, Projects, AuthSource\nfunc (r *UserRepository) AddUser(user *schema.User) error {\n\trolesJson, _ := json.Marshal(user.Roles)\n\tprojectsJson, _ := json.Marshal(user.Projects)\n\n\tcols := []string{\"username\", \"roles\", \"projects\"}\n\tvals := []any{user.Username, string(rolesJson), string(projectsJson)}\n\n\tif user.Name != \"\" {\n\t\tcols = append(cols, \"name\")\n\t\tvals = append(vals, user.Name)\n\t}\n\tif user.Email != \"\" {\n\t\tcols = append(cols, \"email\")\n\t\tvals = append(vals, user.Email)\n\t}\n\tif user.Password != \"\" {\n\t\tpassword, err := bcrypt.GenerateFromPassword([]byte(user.Password), bcrypt.DefaultCost)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"Error while encrypting new user password\")\n\t\t\treturn err\n\t\t}\n\t\tcols = append(cols, \"password\")\n\t\tvals = append(vals, string(password))\n\t}\n\tif user.AuthSource != -1 {\n\t\tcols = append(cols, \"ldap\")\n\t\tvals = append(vals, int(user.AuthSource))\n\t}\n\n\tif _, err := sq.Insert(\"hpc_user\").Columns(cols...).Values(vals...).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while inserting new user '%v' into DB\", user.Username)\n\t\treturn err\n\t}\n\n\tcclog.Infof(\"new user %#v created (roles: %s, auth-source: %d, projects: %s)\", user.Username, rolesJson, user.AuthSource, projectsJson)\n\n\t// DEPRECATED: SUPERSEDED BY NEW USER CONFIG - userConfig.go / web.go\n\tdefaultMetricsCfg, err := config.LoadDefaultMetricsConfig()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error loading default metrics config: %v\", err)\n\t} else if defaultMetricsCfg != nil {\n\t\tfor _, cluster := range defaultMetricsCfg.Clusters {\n\t\t\tmetricsArray := config.ParseMetricsString(cluster.DefaultMetrics)\n\t\t\tmetricsJSON, err := json.Marshal(metricsArray)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error marshaling default metrics for cluster %s: %v\", cluster.Name, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t\t// Note: StatisticsTable now has different key (metricConfig_jobViewTableMetrics): Not updated here.\n\t\t\tconfKey := \"metricConfig_jobViewPlotMetrics:\" + cluster.Name\n\t\t\tif _, err := sq.Insert(\"configuration\").\n\t\t\t\tColumns(\"username\", \"confkey\", \"value\").\n\t\t\t\tValues(user.Username, confKey, string(metricsJSON)).\n\t\t\t\tRunWith(r.DB).Exec(); err != nil {\n\t\t\t\tcclog.Errorf(\"Error inserting default job view metrics for user %s and cluster %s: %v\", user.Username, cluster.Name, err)\n\t\t\t} else {\n\t\t\t\tcclog.Infof(\"Default job view metrics for user %s and cluster %s set to %s\", user.Username, cluster.Name, string(metricsJSON))\n\t\t\t}\n\t\t}\n\t}\n\t// END DEPRECATION\n\n\treturn nil\n}\n\nfunc (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {\n\t// user contains updated info -> Apply to dbUser\n\t// --- Simple Name Update ---\n\tif dbUser.Name != user.Name {\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"name\", user.Name).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec(); err != nil {\n\t\t\tcclog.Errorf(\"error while updating name of user '%s'\", user.Username)\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Def Helpers ---\n\t// Helper to update roles\n\tupdateRoles := func(roles []string) error {\n\t\trolesJSON, _ := json.Marshal(roles)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"roles\", rolesJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to update projects\n\tupdateProjects := func(projects []string) error {\n\t\tprojectsJSON, _ := json.Marshal(projects)\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", projectsJSON).Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// Helper to clear projects\n\tclearProjects := func() error {\n\t\t_, err := sq.Update(\"hpc_user\").Set(\"projects\", \"[]\").Where(\"hpc_user.username = ?\", dbUser.Username).RunWith(r.DB).Exec()\n\t\treturn err\n\t}\n\n\t// --- Manager Role Handling ---\n\tif dbUser.HasRole(schema.RoleManager) && user.HasRole(schema.RoleManager) && !reflect.DeepEqual(dbUser.Projects, user.Projects) {\n\t\t// Existing Manager: update projects\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleUser) && user.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Manager: update roles and projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := updateProjects(user.Projects); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleManager) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleManager}) {\n\t\t// Remove Manager: update roles and clear projects\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := clearProjects(); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\t// --- Support Role Handling ---\n\tif dbUser.HasRole(schema.RoleUser) && dbUser.HasNotRoles([]schema.Role{schema.RoleSupport}) &&\n\t\tuser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin}) {\n\t\t// New Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t} else if dbUser.HasRole(schema.RoleSupport) && user.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\t// Remove Support: update roles\n\t\tif err := updateRoles(user.Roles); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) DelUser(username string) error {\n\t_, err := r.DB.Exec(`DELETE FROM hpc_user WHERE hpc_user.username = ?`, username)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting user '%s' from DB\", username)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted user '%s' from DB\", username)\n\treturn nil\n}\n\nfunc (r *UserRepository) ListUsers(specialsOnly bool) ([]*schema.User, error) {\n\tq := sq.Select(\"username\", \"name\", \"email\", \"roles\", \"projects\").From(\"hpc_user\")\n\tif specialsOnly {\n\t\tq = q.Where(\"(roles != '[\\\"user\\\"]' AND roles != '[]')\")\n\t}\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying user list\")\n\t\treturn nil, err\n\t}\n\n\tusers := make([]*schema.User, 0)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\trawroles := \"\"\n\t\trawprojects := \"\"\n\t\tuser := &schema.User{}\n\t\tvar name, email sql.NullString\n\t\tif err := rows.Scan(&user.Username, &name, &email, &rawroles, &rawprojects); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning user list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawroles), &user.Roles); err != nil {\n\t\t\tcclog.Warn(\"Error while unmarshaling raw role list\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif err := json.Unmarshal([]byte(rawprojects), &user.Projects); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tuser.Name = name.String\n\t\tuser.Email = email.String\n\t\tusers = append(users, user)\n\t}\n\treturn users, nil\n}\n\n// AddRole adds a role to a user's role list.\n// Role string is automatically lowercased.\n// Valid roles: admin, support, manager, api, user\n//\n// Returns error if:\n// - User doesn't exist\n// - Role is invalid\n// - User already has the role\nfunc (r *UserRepository) AddRole(\n\tctx context.Context,\n\tusername string,\n\tqueryrole string,\n) error {\n\tnewRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(newRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", newRole)\n\t}\n\tif exists {\n\t\treturn fmt.Errorf(\"user %v already has role %v\", username, newRole)\n\t}\n\n\troles, _ := json.Marshal(append(user.Roles, newRole))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", roles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"error while adding new role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// RemoveRole removes a role from a user's role list.\n//\n// Special rules:\n// - Cannot remove \"manager\" role while user has assigned projects\n// - Must remove all projects first before removing manager role\nfunc (r *UserRepository) RemoveRole(ctx context.Context, username string, queryrole string) error {\n\toldRole := strings.ToLower(queryrole)\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\tcclog.Warnf(\"Could not load user '%s'\", username)\n\t\treturn err\n\t}\n\n\texists, valid := user.HasValidRole(oldRole)\n\n\tif !valid {\n\t\treturn fmt.Errorf(\"supplied role is no valid option : %v\", oldRole)\n\t}\n\tif !exists {\n\t\treturn fmt.Errorf(\"role already deleted for user '%v': %v\", username, oldRole)\n\t}\n\n\tif oldRole == schema.GetRoleString(schema.RoleManager) && len(user.Projects) != 0 {\n\t\treturn fmt.Errorf(\"cannot remove role 'manager' while user %s still has assigned project(s) : %v\", username, user.Projects)\n\t}\n\n\tvar newroles []string\n\tfor _, r := range user.Roles {\n\t\tif r != oldRole {\n\t\t\tnewroles = append(newroles, r) // Append all roles not matching requested to be deleted role\n\t\t}\n\t}\n\n\tmroles, _ := json.Marshal(newroles)\n\tif _, err := sq.Update(\"hpc_user\").Set(\"roles\", mroles).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\tcclog.Errorf(\"Error while removing role for user '%s'\", user.Username)\n\t\treturn err\n\t}\n\treturn nil\n}\n\n// AddProject assigns a project to a manager user.\n// Only users with the \"manager\" role can have assigned projects.\n//\n// Returns error if:\n// - User doesn't have manager role\n// - User already manages the project\nfunc (r *UserRepository) AddProject(\n\tctx context.Context,\n\tusername string,\n\tproject string,\n) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%s' is not a manager\", username)\n\t}\n\n\tif user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%s' already manages project '%s'\", username, project)\n\t}\n\n\tprojects, _ := json.Marshal(append(user.Projects, project))\n\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", projects).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (r *UserRepository) RemoveProject(ctx context.Context, username string, project string) error {\n\tuser, err := r.GetUser(username)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif !user.HasRole(schema.RoleManager) {\n\t\treturn fmt.Errorf(\"user '%#v' is not a manager\", username)\n\t}\n\n\tif !user.HasProject(project) {\n\t\treturn fmt.Errorf(\"user '%#v': Cannot remove project '%#v' - Does not match\", username, project)\n\t}\n\n\tvar exists bool\n\tvar newprojects []string\n\tfor _, p := range user.Projects {\n\t\tif p != project {\n\t\t\tnewprojects = append(newprojects, p) // Append all projects not matching requested to be deleted project\n\t\t} else {\n\t\t\texists = true\n\t\t}\n\t}\n\n\tif exists {\n\t\tvar result any\n\t\tif len(newprojects) == 0 {\n\t\t\tresult = \"[]\"\n\t\t} else {\n\t\t\tresult, _ = json.Marshal(newprojects)\n\t\t}\n\t\tif _, err := sq.Update(\"hpc_user\").Set(\"projects\", result).Where(\"hpc_user.username = ?\", username).RunWith(r.DB).Exec(); err != nil {\n\t\t\treturn err\n\t\t}\n\t\treturn nil\n\t} else {\n\t\treturn fmt.Errorf(\"user %s already does not manage project %s\", username, project)\n\t}\n}\n\ntype ContextKey string\n\nconst ContextUserKey ContextKey = \"user\"\n\nfunc GetUserFromContext(ctx context.Context) *schema.User {\n\tx := ctx.Value(ContextUserKey)\n\tif x == nil {\n\t\tcclog.Warnf(\"no user retrieved from context\")\n\t\treturn nil\n\t}\n\t// cclog.Infof(\"user retrieved from context: %v\", x.(*schema.User))\n\treturn x.(*schema.User)\n}\n\nfunc (r *UserRepository) FetchUserInCtx(ctx context.Context, username string) (*model.User, error) {\n\tme := GetUserFromContext(ctx)\n\tif me != nil && me.Username != username &&\n\t\tme.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"forbidden\")\n\t}\n\n\tuser := &model.User{Username: username}\n\tvar name, email sql.NullString\n\tif err := sq.Select(\"name\", \"email\").From(\"hpc_user\").Where(\"hpc_user.username = ?\", username).\n\t\tRunWith(r.DB).QueryRow().Scan(&name, &email); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\t/* This warning will be logged *often* for non-local users, i.e. users mentioned only in job-table or archive, */\n\t\t\t/* since FetchUser will be called to retrieve full name and mail for every job in query/list\t\t\t\t\t\t\t\t\t */\n\t\t\t// cclog.Warnf(\"User '%s' Not found in DB\", username)\n\t\t\treturn nil, nil\n\t\t}\n\n\t\tcclog.Warnf(\"Error while fetching user '%s'\", username)\n\t\treturn nil, err\n\t}\n\n\tuser.Name = name.String\n\tuser.Email = email.String\n\treturn user, nil\n}\n","structuredPatch":[{"oldStart":188,"oldLines":6,"newStart":188,"newLines":21,"lines":[" return nil"," }"," ","+// AddUserIfNotExists inserts a user only if the username does not already exist.","+// Uses INSERT OR IGNORE to avoid UNIQUE constraint errors when a user is","+// concurrently created (e.g., by a login while LDAP sync is running).","+// Unlike AddUser, this intentionally skips the deprecated default metrics config insertion.","+func (r *UserRepository) AddUserIfNotExists(user *schema.User) error {","+ rolesJson, _ := json.Marshal(user.Roles)","+ projectsJson, _ := json.Marshal(user.Projects)","+","+ cols := \"username, name, roles, projects, ldap\"","+ _, err := r.DB.Exec(","+ `INSERT OR IGNORE INTO hpc_user (`+cols+`) VALUES (?, ?, ?, ?, ?)`,","+ user.Username, user.Name, string(rolesJson), string(projectsJson), int(user.AuthSource))","+ return err","+}","+"," func (r *UserRepository) UpdateUser(dbUser *schema.User, user *schema.User) error {"," // user contains updated info -> Apply to dbUser"," // --- Simple Name Update ---"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d8c87700-46e1-4aed-bb74-9a129f330bca","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1dcd7d16-6392-4be2-b84d-063eef53646b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Si41CcYiGJS7htJyRZAWE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","old_string":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","new_string":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUserIfNotExists(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1320,"cache_read_input_tokens":66713,"output_tokens":670,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1320,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6afAUESQvCcpF23cbnH","type":"assistant","uuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","timestamp":"2026-03-16T10:13:11.900Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","toolUseID":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","timestamp":"2026-03-16T10:13:11.919Z","uuid":"a8dd1f80-ed87-4690-9f9f-3cf8805f1647","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YW1p3Nkhq4s298ehCw3Fqn","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go has been updated successfully."}]},"uuid":"60b9808e-1da2-4813-8bfa-104d2aefc0d1","timestamp":"2026-03-16T10:13:11.919Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/auth/ldap.go","oldString":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","newString":"\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUserIfNotExists(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage auth\n\nimport (\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/go-ldap/ldap/v3\"\n)\n\ntype LdapConfig struct {\n\tURL string `json:\"url\"`\n\tUserBase string `json:\"user-base\"`\n\tSearchDN string `json:\"search-dn\"`\n\tUserBind string `json:\"user-bind\"`\n\tUserFilter string `json:\"user-filter\"`\n\tUserAttr string `json:\"username-attr\"`\n\tUIDAttr string `json:\"uid-attr\"`\n\tSyncInterval string `json:\"sync-interval\"` // Parsed using time.ParseDuration.\n\tSyncDelOldUsers bool `json:\"sync-del-old-users\"`\n\n\t// Should a non-existent user be added to the DB if user exists in ldap directory\n\tSyncUserOnLogin bool `json:\"sync-user-on-login\"`\n\tUpdateUserOnLogin bool `json:\"update-user-on-login\"`\n}\n\ntype LdapAuthenticator struct {\n\tsyncPassword string\n\tUserAttr string\n\tUIDAttr string\n}\n\nvar _ Authenticator = (*LdapAuthenticator)(nil)\n\nfunc (la *LdapAuthenticator) Init() error {\n\tla.syncPassword = os.Getenv(\"LDAP_ADMIN_PASSWORD\")\n\tif la.syncPassword == \"\" {\n\t\tcclog.Warn(\"environment variable 'LDAP_ADMIN_PASSWORD' not set (ldap sync will not work)\")\n\t}\n\n\tif Keys.LdapConfig.UserAttr != \"\" {\n\t\tla.UserAttr = Keys.LdapConfig.UserAttr\n\t} else {\n\t\tla.UserAttr = \"gecos\"\n\t}\n\n\tif Keys.LdapConfig.UIDAttr != \"\" {\n\t\tla.UIDAttr = Keys.LdapConfig.UIDAttr\n\t} else {\n\t\tla.UIDAttr = \"uid\"\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) CanLogin(\n\tuser *schema.User,\n\tusername string,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, bool) {\n\tlc := Keys.LdapConfig\n\n\tif user != nil {\n\t\tif user.AuthSource == schema.AuthViaLDAP {\n\t\t\treturn user, true\n\t\t}\n\t} else if lc.SyncUserOnLogin {\n\t\tl, err := la.getLdapConnection(true)\n\t\tif err != nil {\n\t\t\tcclog.Error(\"LDAP connection error\")\n\t\t\treturn nil, false\n\t\t}\n\t\tdefer l.Close()\n\n\t\t// Search for the given username\n\t\tsearchRequest := ldap.NewSearchRequest(\n\t\t\tlc.UserBase,\n\t\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\t\tfmt.Sprintf(\"(&%s(%s=%s))\", lc.UserFilter, la.UIDAttr, ldap.EscapeFilter(username)),\n\t\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil)\n\n\t\tsr, err := l.Search(searchRequest)\n\t\tif err != nil {\n\t\t\tcclog.Warn(err)\n\t\t\treturn nil, false\n\t\t}\n\n\t\tif len(sr.Entries) != 1 {\n\t\t\tcclog.Warn(\"LDAP: User does not exist or too many entries returned\")\n\t\t\treturn nil, false\n\t\t}\n\n\t\tentry := sr.Entries[0]\n\t\tuser = &schema.User{\n\t\t\tUsername: username,\n\t\t\tName: entry.GetAttributeValue(la.UserAttr),\n\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\tProjects: make([]string, 0),\n\t\t\tAuthType: schema.AuthSession,\n\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t}\n\n\t\thandleLdapUser(user)\n\t\treturn user, true\n\t}\n\n\treturn nil, false\n}\n\nfunc (la *LdapAuthenticator) Login(\n\tuser *schema.User,\n\trw http.ResponseWriter,\n\tr *http.Request,\n) (*schema.User, error) {\n\tl, err := la.getLdapConnection(false)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting ldap connection\")\n\t\treturn nil, err\n\t}\n\tdefer l.Close()\n\n\tuserDn := strings.ReplaceAll(Keys.LdapConfig.UserBind, \"{username}\", ldap.EscapeDN(user.Username))\n\tif err := l.Bind(userDn, r.FormValue(\"password\")); err != nil {\n\t\tcclog.Errorf(\"AUTH/LDAP > Authentication for user %s failed: %v\",\n\t\t\tuser.Username, err)\n\t\treturn nil, fmt.Errorf(\"Authentication failed\")\n\t}\n\n\treturn user, nil\n}\n\nfunc (la *LdapAuthenticator) Sync() error {\n\tconst InDB int = 1\n\tconst InLdap int = 2\n\tconst InBoth int = 3\n\tur := repository.GetUserRepository()\n\tlc := Keys.LdapConfig\n\n\tusers := map[string]int{}\n\tusernames, err := ur.GetLdapUsernames()\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, username := range usernames {\n\t\tusers[username] = InDB\n\t}\n\n\tl, err := la.getLdapConnection(true)\n\tif err != nil {\n\t\tcclog.Error(\"LDAP connection error\")\n\t\treturn err\n\t}\n\tdefer l.Close()\n\n\tldapResults, err := l.Search(ldap.NewSearchRequest(\n\t\tlc.UserBase,\n\t\tldap.ScopeWholeSubtree, ldap.NeverDerefAliases, 0, 0, false,\n\t\tlc.UserFilter,\n\t\t[]string{\"dn\", la.UIDAttr, la.UserAttr}, nil))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP search error\")\n\t\treturn err\n\t}\n\n\tnewnames := map[string]string{}\n\tfor _, entry := range ldapResults.Entries {\n\t\tusername := entry.GetAttributeValue(la.UIDAttr)\n\t\tif username == \"\" {\n\t\t\treturn fmt.Errorf(\"no attribute '%s'\", la.UIDAttr)\n\t\t}\n\n\t\t_, ok := users[username]\n\t\tif !ok {\n\t\t\tusers[username] = InLdap\n\t\t\tnewnames[username] = entry.GetAttributeValue(la.UserAttr)\n\t\t} else {\n\t\t\tusers[username] = InBoth\n\t\t}\n\t}\n\n\tfor username, where := range users {\n\t\tif where == InDB && lc.SyncDelOldUsers {\n\t\t\tif err := ur.DelUser(username); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Delete from DB failed: %v\", username, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tcclog.Debugf(\"sync: remove %v (does not show up in LDAP anymore)\", username)\n\t\t} else if where == InLdap {\n\t\t\tname := newnames[username]\n\n\t\t\tuser := &schema.User{\n\t\t\t\tUsername: username,\n\t\t\t\tName: name,\n\t\t\t\tRoles: []string{schema.GetRoleString(schema.RoleUser)},\n\t\t\t\tProjects: make([]string, 0),\n\t\t\t\tAuthSource: schema.AuthViaLDAP,\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)\n\t\t\tif err := ur.AddUser(user); err != nil {\n\t\t\t\tcclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\treturn nil\n}\n\nfunc (la *LdapAuthenticator) getLdapConnection(admin bool) (*ldap.Conn, error) {\n\tlc := Keys.LdapConfig\n\tconn, err := ldap.DialURL(lc.URL,\n\t\tldap.DialWithDialer(&net.Dialer{Timeout: 10 * time.Second}))\n\tif err != nil {\n\t\tcclog.Warn(\"LDAP URL dial failed\")\n\t\treturn nil, err\n\t}\n\tconn.SetTimeout(30 * time.Second)\n\n\tif admin {\n\t\tif err := conn.Bind(lc.SearchDN, la.syncPassword); err != nil {\n\t\t\tconn.Close()\n\t\t\tcclog.Warn(\"LDAP connection bind failed\")\n\t\t\treturn nil, err\n\t\t}\n\t}\n\n\treturn conn, nil\n}\n","structuredPatch":[{"oldStart":210,"oldLines":7,"newStart":210,"newLines":7,"lines":[" }"," "," cclog.Debugf(\"sync: add %v (name: %v, roles: [user], ldap: true)\", username, name)","- if err := ur.AddUser(user); err != nil {","+ if err := ur.AddUserIfNotExists(user); err != nil {"," cclog.Errorf(\"User '%s' LDAP: Insert into DB failed\", username)"," return err"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3c5446a0-7ebb-4e4d-a628-43081fdf6210","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"60b9808e-1da2-4813-8bfa-104d2aefc0d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GoH4v9tzVorrW7exUcgDbe","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 2: Batch node state updates** — add `BatchUpdateNodeStates` + update callers"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":68033,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":933},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ag1CuFAMnWQaJ4zzzt","type":"assistant","uuid":"f50efabf-a34d-4969-93fa-de94d4f3a97a","timestamp":"2026-03-16T10:13:14.996Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"7956bad8-245f-4be0-b117-98737a7e1662","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"f50efabf-a34d-4969-93fa-de94d4f3a97a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GoH4v9tzVorrW7exUcgDbe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","old_string":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","new_string":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname string\n\tCluster string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":933,"cache_read_input_tokens":68033,"output_tokens":1045,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":933,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ag1CuFAMnWQaJ4zzzt","type":"assistant","uuid":"7956bad8-245f-4be0-b117-98737a7e1662","timestamp":"2026-03-16T10:13:26.400Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","toolUseID":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","timestamp":"2026-03-16T10:13:26.419Z","uuid":"2d8929b5-19bf-4fef-bd1f-34081e8b96cb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"7956bad8-245f-4be0-b117-98737a7e1662","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SpSpXZdAKM2U8sZBhacLFJ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go has been updated successfully."}]},"uuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","timestamp":"2026-03-16T10:13:26.419Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","oldString":"// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","newString":"// NodeStateUpdate holds the data needed to update one node's state in a batch operation.\ntype NodeStateUpdate struct {\n\tHostname string\n\tCluster string\n\tNodeState *schema.NodeStateDB\n}\n\n// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.\n// For each node, it looks up (or creates) the node row, then inserts the state row.\n// This reduces lock acquisitions from 2*N to 1 for N nodes.\nfunc (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)\n\t}\n\tdefer tx.Rollback()\n\n\tstmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)\n\t}\n\tdefer stmtLookup.Close()\n\n\tstmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)\n\t}\n\tdefer stmtInsertNode.Close()\n\n\tstmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)\n\t}\n\tdefer stmtInsertState.Close()\n\n\tfor _, u := range updates {\n\t\tvar id int64\n\t\tif err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {\n\t\t\tif err == sql.ErrNoRows {\n\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n\t\t\t\tif scErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tnode := schema.NodeDB{\n\t\t\t\t\tHostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,\n\t\t\t\t}\n\t\t\t\tres, insertErr := stmtInsertNode.Exec(&node)\n\t\t\t\tif insertErr != nil {\n\t\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\t\t\t\tid, _ = res.LastInsertId()\n\t\t\t} else {\n\t\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)\n\t\t\t\tcontinue\n\t\t\t}\n\t\t}\n\n\t\tu.NodeState.NodeID = id\n\t\tif _, err := stmtInsertState.Exec(u.NodeState); err != nil {\n\t\t\tcclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)\n\t\t}\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\treturn fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)\n\t}\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sort\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/lrucache\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"github.com/jmoiron/sqlx\"\n)\n\nvar (\n\tnodeRepoOnce sync.Once\n\tnodeRepoInstance *NodeRepository\n)\n\ntype NodeRepository struct {\n\tDB *sqlx.DB\n\tstmtCache *sq.StmtCache\n\tcache *lrucache.Cache\n\tdriver string\n}\n\nfunc GetNodeRepository() *NodeRepository {\n\tnodeRepoOnce.Do(func() {\n\t\tdb := GetConnection()\n\n\t\tnodeRepoInstance = &NodeRepository{\n\t\t\tDB: db.DB,\n\t\t\tdriver: db.Driver,\n\n\t\t\tstmtCache: sq.NewStmtCache(db.DB),\n\t\t\tcache: lrucache.New(repoConfig.CacheSize),\n\t\t}\n\t})\n\treturn nodeRepoInstance\n}\n\n// latestStateCondition returns a squirrel expression that restricts node_state\n// rows to the latest per node_id using a correlated subquery.\n// Requires the query to join node and node_state tables.\nfunc latestStateCondition() sq.Sqlizer {\n\treturn sq.Expr(\n\t\t\"node_state.id = (SELECT ns2.id FROM node_state ns2 WHERE ns2.node_id = node.id ORDER BY ns2.time_stamp DESC LIMIT 1)\",\n\t)\n}\n\n// applyNodeFilters applies common NodeFilter conditions to a query that joins\n// the node and node_state tables with latestStateCondition.\nfunc applyNodeFilters(query sq.SelectBuilder, filters []*model.NodeFilter) sq.SelectBuilder {\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"node.cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"node.subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"node.hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state.node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"node_state.health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\treturn query\n}\n\nfunc (r *NodeRepository) FetchMetadata(hostname string, cluster string) (map[string]string, error) {\n\tstart := time.Now()\n\n\tRawMetaData := make([]byte, 0)\n\n\tif err := sq.Select(\"node.meta_data\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.stmtCache).QueryRow().Scan(&RawMetaData); err != nil {\n\t\tcclog.Warn(\"Error while scanning for node metadata\")\n\t\treturn nil, err\n\t}\n\n\tif len(RawMetaData) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tMetaData := make(map[string]string)\n\n\tif err := json.Unmarshal(RawMetaData, &MetaData); err != nil {\n\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer FetchMetadata %s\", time.Since(start))\n\treturn MetaData, nil\n}\n\nfunc (r *NodeRepository) GetNode(hostname string, cluster string, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.hostname = ?\", hostname).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node '%s' from database: %v\", hostname, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tvar err error\n\t\tvar meta map[string]string\n\t\tif meta, err = r.FetchMetadata(hostname, cluster); err != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node '%s'\", hostname)\n\t\t\treturn nil, err\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\nfunc (r *NodeRepository) GetNodeByID(id int64, withMeta bool) (*schema.Node, error) {\n\tnode := &schema.Node{}\n\tif err := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.id = ?\", id).\n\t\tRunWith(r.DB).\n\t\tQueryRow().Scan(&node.Hostname, &node.Cluster, &node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\tcclog.Warnf(\"Error while querying node ID '%d' from database: %v\", id, err)\n\t\treturn nil, err\n\t}\n\n\tif withMeta {\n\t\tmeta, metaErr := r.FetchMetadata(node.Hostname, node.Cluster)\n\t\tif metaErr != nil {\n\t\t\tcclog.Warnf(\"Error while fetching metadata for node ID '%d': %v\", id, metaErr)\n\t\t\treturn nil, metaErr\n\t\t}\n\t\tnode.MetaData = meta\n\t}\n\n\treturn node, nil\n}\n\n// const NamedNodeInsert string = `\n// INSERT INTO node (time_stamp, hostname, cluster, subcluster, node_state, health_state,\n//\n//\tcpus_allocated, cpus_total, memory_allocated, memory_total, gpus_allocated, gpus_total)\n//\tVALUES (:time_stamp, :hostname, :cluster, :subcluster, :node_state, :health_state,\n//\t:cpus_allocated, :cpus_total, :memory_allocated, :memory_total, :gpus_allocated, :gpus_total);`\n\nconst NamedNodeInsert string = `\nINSERT INTO node (hostname, cluster, subcluster)\n\tVALUES (:hostname, :cluster, :subcluster);`\n\n// AddNode adds a Node to the node table. This can be triggered by a node collector registration or\n// from a nodestate update from the job scheduler.\nfunc (r *NodeRepository) AddNode(node *schema.NodeDB) (int64, error) {\n\tvar err error\n\n\tres, err := r.DB.NamedExec(NamedNodeInsert, node)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node '%v' to database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\tnode.ID, err = res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while getting last insert id for node '%v' from database\", node.Hostname)\n\t\treturn 0, err\n\t}\n\n\treturn node.ID, nil\n}\n\nconst NamedNodeStateInsert string = `\nINSERT INTO node_state (time_stamp, node_state, health_state, health_metrics,\n\tcpus_allocated, memory_allocated, gpus_allocated, jobs_running, node_id)\n\tVALUES (:time_stamp, :node_state, :health_state, :health_metrics,\n\t:cpus_allocated, :memory_allocated, :gpus_allocated, :jobs_running, :node_id);`\n\n// TODO: Add real Monitoring Health State\n\n// UpdateNodeState is called from the Node REST API to add a row in the node state table\nfunc (r *NodeRepository) UpdateNodeState(hostname string, cluster string, nodeState *schema.NodeStateDB) error {\n\tvar id int64\n\n\tif err := sq.Select(\"id\").From(\"node\").\n\t\tWhere(\"node.hostname = ?\", hostname).Where(\"node.cluster = ?\", cluster).RunWith(r.DB).\n\t\tQueryRow().Scan(&id); err != nil {\n\t\tif err == sql.ErrNoRows {\n\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while getting subcluster for node '%s' in cluster '%s': %v\", hostname, cluster, err)\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tnode := schema.NodeDB{\n\t\t\t\tHostname: hostname, Cluster: cluster, SubCluster: subcluster,\n\t\t\t}\n\t\t\tid, err = r.AddNode(&node)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"Error while adding node '%s' to database: %v\", hostname, err)\n\t\t\t\treturn err\n\t\t\t}\n\n\t\t\tcclog.Debugf(\"Added node '%s' to database\", hostname)\n\t\t} else {\n\t\t\tcclog.Warnf(\"Error while querying node '%v' from database\", id)\n\t\t\treturn err\n\t\t}\n\t}\n\n\tnodeState.NodeID = id\n\n\t_, err := r.DB.NamedExec(NamedNodeStateInsert, nodeState)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while adding node state for '%v' to database\", hostname)\n\t\treturn err\n\t}\n\tcclog.Debugf(\"Updated node state for '%s' in database\", hostname)\n\treturn nil\n}\n\n// func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {\n// \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {\n// \t\tcclog.Errorf(\"error while updating node '%d'\", id)\n// \t\treturn err\n// \t}\n//\n// \treturn nil\n// }\n\n// NodeStateWithNode combines a node state row with denormalized node info.\ntype NodeStateWithNode struct {\n\tID int64 `db:\"id\"`\n\tTimeStamp int64 `db:\"time_stamp\"`\n\tNodeState string `db:\"node_state\"`\n\tHealthState string `db:\"health_state\"`\n\tHealthMetrics string `db:\"health_metrics\"`\n\tCpusAllocated int `db:\"cpus_allocated\"`\n\tMemoryAllocated int64 `db:\"memory_allocated\"`\n\tGpusAllocated int `db:\"gpus_allocated\"`\n\tJobsRunning int `db:\"jobs_running\"`\n\tHostname string `db:\"hostname\"`\n\tCluster string `db:\"cluster\"`\n\tSubCluster string `db:\"subcluster\"`\n}\n\n// FindNodeStatesBefore returns all node_state rows with time_stamp < cutoff,\n// joined with node info for denormalized archiving.\nfunc (r *NodeRepository) FindNodeStatesBefore(cutoff int64) ([]NodeStateWithNode, error) {\n\trows, err := sq.Select(\n\t\t\"node_state.id\", \"node_state.time_stamp\", \"node_state.node_state\",\n\t\t\"node_state.health_state\", \"node_state.health_metrics\",\n\t\t\"node_state.cpus_allocated\", \"node_state.memory_allocated\",\n\t\t\"node_state.gpus_allocated\", \"node_state.jobs_running\",\n\t\t\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t).\n\t\tFrom(\"node_state\").\n\t\tJoin(\"node ON node_state.node_id = node.id\").\n\t\tWhere(sq.Lt{\"node_state.time_stamp\": cutoff}).\n\t\tWhere(\"node_state.id NOT IN (SELECT ns2.id FROM node_state ns2 WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id))\").\n\t\tOrderBy(\"node.cluster ASC\", \"node.subcluster ASC\", \"node.hostname ASC\", \"node_state.time_stamp ASC\").\n\t\tRunWith(r.DB).Query()\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tvar result []NodeStateWithNode\n\tfor rows.Next() {\n\t\tvar ns NodeStateWithNode\n\t\tvar healthMetrics sql.NullString\n\t\tif err := rows.Scan(&ns.ID, &ns.TimeStamp, &ns.NodeState,\n\t\t\t&ns.HealthState, &healthMetrics,\n\t\t\t&ns.CpusAllocated, &ns.MemoryAllocated,\n\t\t\t&ns.GpusAllocated, &ns.JobsRunning,\n\t\t\t&ns.Hostname, &ns.Cluster, &ns.SubCluster); err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tns.HealthMetrics = healthMetrics.String\n\t\tresult = append(result, ns)\n\t}\n\treturn result, nil\n}\n\n// DeleteNodeStatesBefore removes node_state rows with time_stamp < cutoff,\n// but always preserves the row with the latest timestamp per node_id.\nfunc (r *NodeRepository) DeleteNodeStatesBefore(cutoff int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t`DELETE FROM node_state WHERE time_stamp < ?\n\t\t AND id NOT IN (\n\t\t SELECT id FROM node_state ns2\n\t\t WHERE ns2.time_stamp = (SELECT MAX(ns3.time_stamp) FROM node_state ns3 WHERE ns3.node_id = ns2.node_id)\n\t\t )`,\n\t\tcutoff,\n\t)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn res.RowsAffected()\n}\n\nfunc (r *NodeRepository) DeleteNode(id int64) error {\n\t_, err := r.DB.Exec(`DELETE FROM node WHERE node.id = ?`, id)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while deleting node '%d' from DB\", id)\n\t\treturn err\n\t}\n\tcclog.Infof(\"deleted node '%d' from DB\", id)\n\treturn nil\n}\n\n// QueryNodes returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp).\nfunc (r *NodeRepository) QueryNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// QueryNodesWithMeta returns a list of nodes based on a node filter. It always operates\n// on the last state (largest timestamp). It includes both (!) optional JSON column data\nfunc (r *NodeRepository) QueryNodesWithMeta(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput, // Currently unused!\n) ([]*schema.Node, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\t\"node_state.node_state\", \"node_state.health_state\",\n\t\t\t\"node.meta_data\", \"node_state.health_metrics\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\tquery = query.OrderBy(\"node.hostname ASC\")\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*schema.Node, 0)\n\tfor rows.Next() {\n\t\tnode := schema.Node{}\n\t\tRawMetaData := make([]byte, 0)\n\t\tRawMetricHealth := make([]byte, 0)\n\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster, &node.SubCluster,\n\t\t\t&node.NodeState, &node.HealthState, &RawMetaData, &RawMetricHealth); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (QueryNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif len(RawMetaData) == 0 {\n\t\t\tnode.MetaData = nil\n\t\t} else {\n\t\t\tmetaData := make(map[string]string)\n\t\t\tif err := json.Unmarshal(RawMetaData, &metaData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw metadata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.MetaData = metaData\n\t\t}\n\n\t\tif len(RawMetricHealth) == 0 {\n\t\t\tnode.HealthData = nil\n\t\t} else {\n\t\t\thealthData := make(map[string][]string)\n\t\t\tif err := json.Unmarshal(RawMetricHealth, &healthData); err != nil {\n\t\t\t\tcclog.Warn(\"Error while unmarshaling raw healthdata json\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t\tnode.HealthData = healthData\n\t\t}\n\n\t\tnodes = append(nodes, &node)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\n// CountNodes returns the total matched nodes based on a node filter. It always operates\n// on the last state (largest timestamp) per node.\nfunc (r *NodeRepository) CountNodes(\n\tctx context.Context,\n\tfilters []*model.NodeFilter,\n) (int, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(\"COUNT(*)\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\tvar count int\n\tif err := query.RunWith(r.stmtCache).QueryRow().Scan(&count); err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn 0, err\n\t}\n\n\treturn count, nil\n}\n\nfunc (r *NodeRepository) ListNodes(cluster string) ([]*schema.Node, error) {\n\tq := sq.Select(\"node.hostname\", \"node.cluster\", \"node.subcluster\",\n\t\t\"node_state.node_state\", \"node_state.health_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\tnodeList := make([]*schema.Node, 0, 100)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tnode := &schema.Node{}\n\t\tif err := rows.Scan(&node.Hostname, &node.Cluster,\n\t\t\t&node.SubCluster, &node.NodeState, &node.HealthState); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (ListNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tnodeList = append(nodeList, node)\n\t}\n\n\treturn nodeList, nil\n}\n\nfunc (r *NodeRepository) MapNodes(cluster string) (map[string]string, error) {\n\tq := sq.Select(\"node.hostname\", \"node_state.node_state\").\n\t\tFrom(\"node\").\n\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\tWhere(latestStateCondition()).\n\t\tWhere(\"node.cluster = ?\", cluster).\n\t\tOrderBy(\"node.hostname ASC\")\n\n\trows, err := q.RunWith(r.DB).Query()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying node list\")\n\t\treturn nil, err\n\t}\n\n\tstateMap := make(map[string]string)\n\tdefer rows.Close()\n\tfor rows.Next() {\n\t\tvar hostname, nodestate string\n\t\tif err := rows.Scan(&hostname, &nodestate); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning node list (MapNodes)\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tstateMap[hostname] = nodestate\n\t}\n\n\treturn stateMap, nil\n}\n\nfunc (r *NodeRepository) CountStates(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStates, error) {\n\tquery, qerr := AccessCheck(ctx,\n\t\tsq.Select(column, \"COUNT(*) as count\").\n\t\t\tFrom(\"node\").\n\t\t\tJoin(\"node_state ON node_state.node_id = node.id\").\n\t\t\tWhere(latestStateCondition()).\n\t\t\tGroupBy(column))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = applyNodeFilters(query, filters)\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tnodes := make([]*model.NodeStates, 0)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar count int\n\t\tif err := rows.Scan(&state, &count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows (CountStates)\")\n\t\t\treturn nil, err\n\t\t}\n\t\tnodes = append(nodes, &model.NodeStates{State: state, Count: count})\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn nodes, nil\n}\n\nfunc (r *NodeRepository) CountStatesTimed(ctx context.Context, filters []*model.NodeFilter, column string) ([]*model.NodeStatesTimed, error) {\n\tquery, qerr := AccessCheck(ctx, sq.Select(column, \"time_stamp\", \"count(*) as count\").From(\"node\")) // \"cluster\"?\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tquery = query.Join(\"node_state ON node_state.node_id = node.id\")\n\n\tfor _, f := range filters {\n\t\t// Required\n\t\tif f.TimeStart != nil {\n\t\t\tquery = query.Where(\"time_stamp > ?\", f.TimeStart)\n\t\t}\n\t\t// Optional\n\t\tif f.Hostname != nil {\n\t\t\tquery = buildStringCondition(\"hostname\", f.Hostname, query)\n\t\t}\n\t\tif f.Cluster != nil {\n\t\t\tquery = buildStringCondition(\"cluster\", f.Cluster, query)\n\t\t}\n\t\tif f.SubCluster != nil {\n\t\t\tquery = buildStringCondition(\"subcluster\", f.SubCluster, query)\n\t\t}\n\t\tif f.SchedulerState != nil {\n\t\t\tquery = query.Where(\"node_state = ?\", f.SchedulerState)\n\t\t}\n\t\tif f.HealthState != nil {\n\t\t\tquery = query.Where(\"health_state = ?\", f.HealthState)\n\t\t}\n\t}\n\n\t// Add Group and Order\n\tquery = query.GroupBy(column + \", time_stamp\").OrderBy(\"time_stamp ASC\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\tcclog.Errorf(\"Error while running query '%s' %v: %v\", queryString, queryVars, err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\trawData := make(map[string][][]int)\n\tfor rows.Next() {\n\t\tvar state string\n\t\tvar timestamp, count int\n\n\t\tif err := rows.Scan(&state, ×tamp, &count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows (CountStatesTimed) at time '%d'\", timestamp)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rawData[state] == nil {\n\t\t\trawData[state] = [][]int{make([]int, 0), make([]int, 0)}\n\t\t}\n\n\t\trawData[state][0] = append(rawData[state][0], timestamp)\n\t\trawData[state][1] = append(rawData[state][1], count)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\ttimedStates := make([]*model.NodeStatesTimed, 0)\n\tfor state, data := range rawData {\n\t\tentry := model.NodeStatesTimed{State: state, Times: data[0], Counts: data[1]}\n\t\ttimedStates = append(timedStates, &entry)\n\t}\n\n\treturn timedStates, nil\n}\n\nfunc (r *NodeRepository) GetNodesForList(\n\tctx context.Context,\n\tcluster string,\n\tsubCluster string,\n\tstateFilter string,\n\tnodeFilter string,\n\tpage *model.PageRequest,\n) ([]string, map[string]string, int, bool, error) {\n\t// Init Return Vars\n\tnodes := make([]string, 0)\n\tstateMap := make(map[string]string)\n\tcountNodes := 0\n\thasNextPage := false\n\n\t// Build Filters\n\tqueryFilters := make([]*model.NodeFilter, 0)\n\tif cluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Cluster: &model.StringInput{Eq: &cluster}})\n\t}\n\tif subCluster != \"\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SubCluster: &model.StringInput{Eq: &subCluster}})\n\t}\n\tif nodeFilter != \"\" && stateFilter != \"notindb\" {\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{Hostname: &model.StringInput{Contains: &nodeFilter}})\n\t}\n\tif stateFilter != \"all\" && stateFilter != \"notindb\" {\n\t\tqueryState := schema.SchedulerState(stateFilter)\n\t\tqueryFilters = append(queryFilters, &model.NodeFilter{SchedulerState: &queryState})\n\t}\n\t// if healthFilter != \"all\" {\n\t// \tfilters = append(filters, &model.NodeFilter{HealthState: &healthFilter})\n\t// }\n\n\t// Special Case: Disable Paging for missing nodes filter, save IPP for later\n\tvar backupItems int\n\tif stateFilter == \"notindb\" {\n\t\tbackupItems = page.ItemsPerPage\n\t\tpage.ItemsPerPage = -1\n\t}\n\n\t// Query Nodes From DB\n\trawNodes, serr := r.QueryNodes(ctx, queryFilters, page, nil) // Order not Used\n\tif serr != nil {\n\t\tcclog.Warn(\"error while loading node database data (Resolver.NodeMetricsList)\")\n\t\treturn nil, nil, 0, false, serr\n\t}\n\n\t// Intermediate Node Result Info\n\tfor _, node := range rawNodes {\n\t\tif node == nil {\n\t\t\tcontinue\n\t\t}\n\t\tnodes = append(nodes, node.Hostname)\n\t\tstateMap[node.Hostname] = string(node.NodeState)\n\t}\n\n\t// Special Case: Find Nodes not in DB node table but in metricStore only\n\tif stateFilter == \"notindb\" {\n\t\t// Reapply Original Paging\n\t\tpage.ItemsPerPage = backupItems\n\t\t// Get Nodes From Topology\n\t\tvar topoNodes []string\n\t\tif subCluster != \"\" {\n\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\t\ttopoNodes = scNodes.PrintList()\n\t\t} else {\n\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\t\ttopoNodes = append(topoNodes, nodeList.PrintList()...)\n\t\t\t}\n\t\t}\n\t\t// Compare to all nodes from cluster/subcluster in DB\n\t\tvar missingNodes []string\n\t\tfor _, scanNode := range topoNodes {\n\t\t\tif !slices.Contains(nodes, scanNode) {\n\t\t\t\tmissingNodes = append(missingNodes, scanNode)\n\t\t\t}\n\t\t}\n\t\t// Filter nodes by name\n\t\tif nodeFilter != \"\" {\n\t\t\tfilteredNodesByName := []string{}\n\t\t\tfor _, missingNode := range missingNodes {\n\t\t\t\tif strings.Contains(missingNode, nodeFilter) {\n\t\t\t\t\tfilteredNodesByName = append(filteredNodesByName, missingNode)\n\t\t\t\t}\n\t\t\t}\n\t\t\tmissingNodes = filteredNodesByName\n\t\t}\n\t\t// Sort Missing Nodes Alphanumerically\n\t\tslices.Sort(missingNodes)\n\t\t// Total Missing\n\t\tcountNodes = len(missingNodes)\n\t\t// Apply paging\n\t\tif countNodes > page.ItemsPerPage {\n\t\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\t\tend := start + page.ItemsPerPage\n\t\t\tif end > countNodes {\n\t\t\t\tend = countNodes\n\t\t\t\thasNextPage = false\n\t\t\t} else {\n\t\t\t\thasNextPage = true\n\t\t\t}\n\t\t\tnodes = missingNodes[start:end]\n\t\t} else {\n\t\t\tnodes = missingNodes\n\t\t}\n\n\t} else {\n\t\t// DB Nodes: Count and derive hasNextPage from count\n\t\tvar cerr error\n\t\tcountNodes, cerr = r.CountNodes(ctx, queryFilters)\n\t\tif cerr != nil {\n\t\t\tcclog.Warn(\"error while counting node database data (Resolver.NodeMetricsList)\")\n\t\t\treturn nil, nil, 0, false, cerr\n\t\t}\n\t\thasNextPage = page.Page*page.ItemsPerPage < countNodes\n\t}\n\n\t// Fallback for non-init'd node table in DB; Ignores stateFilter\n\tif stateFilter == \"all\" && countNodes == 0 {\n\t\tnodes, countNodes, hasNextPage = getNodesFromTopol(cluster, subCluster, nodeFilter, page)\n\t}\n\n\treturn nodes, stateMap, countNodes, hasNextPage, nil\n}\n\nfunc AccessCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn AccessCheckWithUser(user, query)\n}\n\nfunc AccessCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\t// case len(user.Roles) == 1 && user.HasRole(schema.RoleApi): // API-User : Access NodeInfos\n\t// \treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}): // Admin & Support : Access NodeInfos\n\t\treturn query, nil\n\tdefault: // No known Role: No Access, return error\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\nfunc getNodesFromTopol(cluster string, subCluster string, nodeFilter string, page *model.PageRequest) ([]string, int, bool) {\n\t// 0) Init additional vars\n\thasNextPage := false\n\ttotalNodes := 0\n\n\t// 1) Get list of all nodes\n\tvar topolNodes []string\n\tif subCluster != \"\" {\n\t\tscNodes := archive.NodeLists[cluster][subCluster]\n\t\ttopolNodes = scNodes.PrintList()\n\t} else {\n\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n\t\tfor _, nodeList := range subClusterNodeLists {\n\t\t\ttopolNodes = append(topolNodes, nodeList.PrintList()...)\n\t\t}\n\t}\n\n\t// 2) Filter nodes\n\tif nodeFilter != \"\" {\n\t\tfilteredNodes := []string{}\n\t\tfor _, node := range topolNodes {\n\t\t\tif strings.Contains(node, nodeFilter) {\n\t\t\t\tfilteredNodes = append(filteredNodes, node)\n\t\t\t}\n\t\t}\n\t\ttopolNodes = filteredNodes\n\t}\n\n\t// 2.1) Count total nodes && Sort nodes -> Sorting invalidated after ccms return ...\n\ttotalNodes = len(topolNodes)\n\tsort.Strings(topolNodes)\n\n\t// 3) Apply paging\n\tif len(topolNodes) > page.ItemsPerPage {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tend := start + page.ItemsPerPage\n\t\tif end >= len(topolNodes) {\n\t\t\tend = len(topolNodes)\n\t\t\thasNextPage = false\n\t\t} else {\n\t\t\thasNextPage = true\n\t\t}\n\t\ttopolNodes = topolNodes[start:end]\n\t}\n\n\treturn topolNodes, totalNodes, hasNextPage\n}\n","structuredPatch":[{"oldStart":244,"oldLines":6,"newStart":244,"newLines":77,"lines":[" return nil"," }"," ","+// NodeStateUpdate holds the data needed to update one node's state in a batch operation.","+type NodeStateUpdate struct {","+ Hostname string","+ Cluster string","+ NodeState *schema.NodeStateDB","+}","+","+// BatchUpdateNodeStates inserts node state rows for multiple nodes in a single transaction.","+// For each node, it looks up (or creates) the node row, then inserts the state row.","+// This reduces lock acquisitions from 2*N to 1 for N nodes.","+func (r *NodeRepository) BatchUpdateNodeStates(updates []NodeStateUpdate) error {","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: begin transaction: %w\", err)","+ }","+ defer tx.Rollback()","+","+ stmtLookup, err := tx.Preparex(\"SELECT id FROM node WHERE hostname = ? AND cluster = ?\")","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare lookup: %w\", err)","+ }","+ defer stmtLookup.Close()","+","+ stmtInsertNode, err := tx.PrepareNamed(NamedNodeInsert)","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare node insert: %w\", err)","+ }","+ defer stmtInsertNode.Close()","+","+ stmtInsertState, err := tx.PrepareNamed(NamedNodeStateInsert)","+ if err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: prepare state insert: %w\", err)","+ }","+ defer stmtInsertState.Close()","+","+ for _, u := range updates {","+ var id int64","+ if err := stmtLookup.QueryRow(u.Hostname, u.Cluster).Scan(&id); err != nil {","+ if err == sql.ErrNoRows {","+ subcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)","+ if scErr != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: subcluster lookup for '%s' in '%s': %v\", u.Hostname, u.Cluster, scErr)","+ continue","+ }","+ node := schema.NodeDB{","+ Hostname: u.Hostname, Cluster: u.Cluster, SubCluster: subcluster,","+ }","+ res, insertErr := stmtInsertNode.Exec(&node)","+ if insertErr != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: insert node '%s': %v\", u.Hostname, insertErr)","+ continue","+ }","+ id, _ = res.LastInsertId()","+ } else {","+ cclog.Errorf(\"BatchUpdateNodeStates: lookup node '%s': %v\", u.Hostname, err)","+ continue","+ }","+ }","+","+ u.NodeState.NodeID = id","+ if _, err := stmtInsertState.Exec(u.NodeState); err != nil {","+ cclog.Errorf(\"BatchUpdateNodeStates: insert state for '%s': %v\", u.Hostname, err)","+ }","+ }","+","+ if err := tx.Commit(); err != nil {","+ return fmt.Errorf(\"BatchUpdateNodeStates: commit: %w\", err)","+ }","+ return nil","+}","+"," // func (r *NodeRepository) UpdateHealthState(hostname string, healthState *schema.MonitoringState) error {"," // \tif _, err := sq.Update(\"node\").Set(\"health_state\", healthState).Where(\"node.id = ?\", id).RunWith(r.DB).Exec(); err != nil {"," // \t\tcclog.Errorf(\"error while updating node '%d'\", id)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"7956bad8-245f-4be0-b117-98737a7e1662","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3ffb462b-6cfb-46e9-ae85-f08a006b0ead","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016MGS4ZM2fZX8FdvT5MkLmS","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to check if `archive` is already imported in `node.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1199,"cache_read_input_tokens":68966,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1199},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ah5EmkKHLQ3SuPtuuv","type":"assistant","uuid":"2dc573e6-0f52-4dbb-a243-122336ce311b","timestamp":"2026-03-16T10:13:30.569Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2dc573e6-0f52-4dbb-a243-122336ce311b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016MGS4ZM2fZX8FdvT5MkLmS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","name":"Grep","input":{"pattern":"archive","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/node.go","output_mode":"content"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1199,"cache_read_input_tokens":68966,"output_tokens":131,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1199,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ah5EmkKHLQ3SuPtuuv","type":"assistant","uuid":"d4a250d3-63e4-4469-a128-5090819378e7","timestamp":"2026-03-16T10:13:31.374Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d4a250d3-63e4-4469-a128-5090819378e7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","toolUseID":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","timestamp":"2026-03-16T10:13:31.391Z","uuid":"a8776baf-10f6-49fd-a016-07d66f1fbf57","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d4a250d3-63e4-4469-a128-5090819378e7","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BkQ2XeaVvTjx68JdU6xcc6","type":"tool_result","content":"20:\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n215:\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n286:\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n800:\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n803:\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n893:\t\tscNodes := archive.NodeLists[cluster][subCluster]\n896:\t\tsubClusterNodeLists := archive.NodeLists[cluster]"}]},"uuid":"000d7d6d-3f28-4a1b-ae81-513cec9b01a1","timestamp":"2026-03-16T10:13:31.391Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"20:\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n215:\t\t\tsubcluster, err := archive.GetSubClusterByNode(cluster, hostname)\n286:\t\t\t\tsubcluster, scErr := archive.GetSubClusterByNode(u.Cluster, u.Hostname)\n800:\t\t\tscNodes := archive.NodeLists[cluster][subCluster]\n803:\t\t\tsubClusterNodeLists := archive.NodeLists[cluster]\n893:\t\tscNodes := archive.NodeLists[cluster][subCluster]\n896:\t\tsubClusterNodeLists := archive.NodeLists[cluster]","numLines":7},"sourceToolAssistantUUID":"d4a250d3-63e4-4469-a128-5090819378e7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"000d7d6d-3f28-4a1b-ae81-513cec9b01a1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Pp2PBfaTQuWSZxzaiMn4KG","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `archive` is already imported. Now update the NATS handler to use batch:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":294,"cache_read_input_tokens":70165,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":294},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ahSdt6beXEHrG34Lx4","type":"assistant","uuid":"c0fb6b0f-c717-4515-a759-46325a1832f9","timestamp":"2026-03-16T10:13:34.994Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c0fb6b0f-c717-4515-a759-46325a1832f9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Pp2PBfaTQuWSZxzaiMn4KG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","new_string":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":294,"cache_read_input_tokens":70165,"output_tokens":763,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":294,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ahSdt6beXEHrG34Lx4","type":"assistant","uuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","timestamp":"2026-03-16T10:13:42.811Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v1","version":1,"backupTime":"2026-03-16T10:13:42.818Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SfYezs5gWfSaJwFBvZwTQm","toolUseID":"toolu_01SfYezs5gWfSaJwFBvZwTQm","timestamp":"2026-03-16T10:13:42.820Z","uuid":"d043d5e5-f6eb-4cc5-84f1-7accd873b53d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SfYezs5gWfSaJwFBvZwTQm","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","timestamp":"2026-03-16T10:13:42.820Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","newString":"\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":345,"oldLines":6,"newStart":345,"newLines":7,"lines":[" repo := repository.GetNodeRepository()"," requestReceived := time.Now().Unix()"," ","+ updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))"," for _, node := range req.Nodes {"," state := determineState(node.States)"," nodeState := schema.NodeStateDB{"]},{"oldStart":356,"oldLines":11,"newStart":357,"newLines":15,"lines":[" HealthState: schema.MonitoringStateFull,"," JobsRunning: node.JobsRunning,"," }","+ updates = append(updates, repository.NodeStateUpdate{","+ Hostname: node.Hostname,","+ Cluster: req.Cluster,","+ NodeState: &nodeState,","+ })","+ }"," ","- if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","- cclog.Errorf(\"NATS nodestate: updating node state for %s on %s failed: %v\",","- node.Hostname, req.Cluster, err)","- }","+ if err := repo.BatchUpdateNodeStates(updates); err != nil {","+ cclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)"," }"," "," cclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"9006a851-8e89-47d0-8cc0-6a71f7579d4c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d3f9fff6-c5c7-4b6a-9ccf-be1ce553c3d1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the REST handler to also batch the DB part:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":807},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"4a840c99-f10e-4a2a-88a9-26722953097a","timestamp":"2026-03-16T10:13:46.319Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"4a840c99-f10e-4a2a-88a9-26722953097a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01XW1TDmuGSvp8mtAm3TgEbp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","old_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","new_string":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":807,"cache_read_input_tokens":70459,"output_tokens":912,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":807,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aiHcgkCnEMhSsh7iXd","type":"assistant","uuid":"a9780779-40bc-4130-84ef-769ec8d703e9","timestamp":"2026-03-16T10:13:53.745Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"type":"file-history-snapshot","messageId":"a9780779-40bc-4130-84ef-769ec8d703e9","snapshot":{"messageId":"0cc8876b-10ce-4edf-943f-0617397039d7","trackedFileBackups":{"internal/repository/config.go":{"backupFileName":"a883c5818c81b4d1@v1","version":1,"backupTime":"2026-03-16T10:12:55.834Z"},"internal/repository/dbConnection.go":{"backupFileName":"db30f6c3edc8b3d3@v1","version":1,"backupTime":"2026-03-16T10:12:59.713Z"},"pkg/archive/sqliteBackend.go":{"backupFileName":"18689be31059caac@v1","version":1,"backupTime":"2026-03-16T10:13:00.518Z"},"internal/repository/user.go":{"backupFileName":"0ad3b819db3027b0@v1","version":1,"backupTime":"2026-03-16T10:13:08.823Z"},"internal/auth/ldap.go":{"backupFileName":"eb6b6551a5c72cf4@v1","version":1,"backupTime":"2026-03-16T10:13:11.918Z"},"internal/repository/node.go":{"backupFileName":"01489fcb081061c5@v1","version":1,"backupTime":"2026-03-16T10:13:26.415Z"},"internal/api/nats.go":{"backupFileName":"55edb81630b87b05@v1","version":1,"backupTime":"2026-03-16T10:13:42.818Z"},"internal/api/node.go":{"backupFileName":"b975dfea9894c28c@v1","version":1,"backupTime":"2026-03-16T10:13:53.754Z"}},"timestamp":"2026-03-16T10:12:35.009Z"},"isSnapshotUpdate":true} +{"parentUuid":"a9780779-40bc-4130-84ef-769ec8d703e9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01KWgT3DMBg4wm69ijcQDpSf","toolUseID":"toolu_01KWgT3DMBg4wm69ijcQDpSf","timestamp":"2026-03-16T10:13:53.756Z","uuid":"d8dc490d-e4b4-4c04-b626-3679ed6bd652","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9780779-40bc-4130-84ef-769ec8d703e9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KWgT3DMBg4wm69ijcQDpSf","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go has been updated successfully."}]},"uuid":"a87c3df8-d8de-4a6f-b720-6991ede41740","timestamp":"2026-03-16T10:13:53.756Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/node.go","oldString":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","newString":"\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"fmt\"\n\t\"maps\"\n\t\"net/http\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\ntype UpdateNodeStatesRequest struct {\n\tNodes []schema.NodePayload `json:\"nodes\"`\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n}\n\n// metricListToNames converts a map of metric configurations to a list of metric names\nfunc metricListToNames(metricList map[string]*schema.Metric) []string {\n\tnames := make([]string, 0, len(metricList))\n\tfor name := range metricList {\n\t\tnames = append(names, name)\n\t}\n\treturn names\n}\n\n// this routine assumes that only one of them exists per node\nfunc determineState(states []string) schema.SchedulerState {\n\tfor _, state := range states {\n\t\tswitch strings.ToLower(state) {\n\t\tcase \"allocated\":\n\t\t\treturn schema.NodeStateAllocated\n\t\tcase \"reserved\":\n\t\t\treturn schema.NodeStateReserved\n\t\tcase \"idle\":\n\t\t\treturn schema.NodeStateIdle\n\t\tcase \"down\":\n\t\t\treturn schema.NodeStateDown\n\t\tcase \"mixed\":\n\t\t\treturn schema.NodeStateMixed\n\t\t}\n\t}\n\n\treturn schema.NodeStateUnknown\n}\n\n// updateNodeStates godoc\n// @summary Deliver updated Slurm node states\n// @tags Nodestates\n// @description Returns a JSON-encoded list of users.\n// @description Required query-parameter defines if all users or only users with additional special roles are returned.\n// @produce json\n// @param request body UpdateNodeStatesRequest true \"Request body containing nodes and their states\"\n// @success 200 {object} api.DefaultAPIResponse \"Success message\"\n// @failure 400 {object} api.ErrorResponse \"Bad Request\"\n// @failure 401 {object} api.ErrorResponse \"Unauthorized\"\n// @failure 403 {object} api.ErrorResponse \"Forbidden\"\n// @failure 500 {object} api.ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /api/nodestats/ [post]\nfunc (api *RestAPI) updateNodeStates(rw http.ResponseWriter, r *http.Request) {\n\t// Parse request body\n\treq := UpdateNodeStatesRequest{}\n\tif err := decode(r.Body, &req); err != nil {\n\t\thandleError(fmt.Errorf(\"parsing request body failed: %w\", err),\n\t\t\thttp.StatusBadRequest, rw)\n\t\treturn\n\t}\n\trequestReceived := time.Now().Unix()\n\trepo := repository.GetNodeRepository()\n\n\tm := make(map[string][]string)\n\tmetricNames := make(map[string][]string)\n\thealthResults := make(map[string]metricstore.HealthCheckResult)\n\n\tstartMs := time.Now()\n\n\t// Step 1: Build nodeList and metricList per subcluster\n\tfor _, node := range req.Nodes {\n\t\tif sc, err := archive.GetSubClusterByNode(req.Cluster, node.Hostname); err == nil {\n\t\t\tm[sc] = append(m[sc], node.Hostname)\n\t\t}\n\t}\n\n\tfor sc := range m {\n\t\tif sc != \"\" {\n\t\t\tmetricList := archive.GetMetricConfigSubCluster(req.Cluster, sc)\n\t\t\tmetricNames[sc] = metricListToNames(metricList)\n\t\t}\n\t}\n\n\t// Step 2: Determine which metric store to query and perform health check\n\thealthRepo, err := metricdispatch.GetHealthCheckRepo(req.Cluster)\n\tif err != nil {\n\t\tcclog.Warnf(\"updateNodeStates: no metric store for cluster %s, skipping health check: %v\", req.Cluster, err)\n\t} else {\n\t\tfor sc, nl := range m {\n\t\t\tif sc != \"\" {\n\t\t\t\tif results, err := healthRepo.HealthCheck(req.Cluster, nl, metricNames[sc]); err == nil {\n\t\t\t\t\tmaps.Copy(healthResults, results)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))\n\tstartDB := time.Now()\n\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\thealthState := schema.MonitoringStateFailed\n\t\tvar healthMetrics string\n\t\tif result, ok := healthResults[node.Hostname]; ok {\n\t\t\thealthState = result.State\n\t\t\thealthMetrics = result.HealthMetrics\n\t\t}\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: healthState,\n\t\t\tHealthMetrics: healthMetrics,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\n\t\tif err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {\n\t\t\tcclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",\n\t\t\t\tnode.Hostname, req.Cluster, err)\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))\n}\n","structuredPatch":[{"oldStart":116,"oldLines":6,"newStart":116,"newLines":7,"lines":[" cclog.Debugf(\"Timer updateNodeStates, MemStore HealthCheck: %s\", time.Since(startMs))"," startDB := time.Now()"," ","+ updates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))"," for _, node := range req.Nodes {"," state := determineState(node.States)"," healthState := schema.MonitoringStateFailed"]},{"oldStart":134,"oldLines":11,"newStart":135,"newLines":15,"lines":[" HealthMetrics: healthMetrics,"," JobsRunning: node.JobsRunning,"," }","+ updates = append(updates, repository.NodeStateUpdate{","+ Hostname: node.Hostname,","+ Cluster: req.Cluster,","+ NodeState: &nodeState,","+ })","+ }"," ","- if err := repo.UpdateNodeState(node.Hostname, req.Cluster, &nodeState); err != nil {","- cclog.Errorf(\"updateNodeStates: updating node state for %s on %s failed: %v\",","- node.Hostname, req.Cluster, err)","- }","+ if err := repo.BatchUpdateNodeStates(updates); err != nil {","+ cclog.Errorf(\"updateNodeStates: batch update for cluster %s failed: %v\", req.Cluster, err)"," }"," "," cclog.Debugf(\"Timer updateNodeStates, SQLite Inserts: %s\", time.Since(startDB))"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9780779-40bc-4130-84ef-769ec8d703e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a87c3df8-d8de-4a6f-b720-6991ede41740","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VMAwybstFLKHc4G31EF56S","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 5: Wrap SyncJobs in a transaction**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":955},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"b3eaea28-2260-4531-b255-b9a6e6914aa4","timestamp":"2026-03-16T10:13:58.372Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"b3eaea28-2260-4531-b255-b9a6e6914aa4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VMAwybstFLKHc4G31EF56S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vxd4CHYztaZiWnUyHBZ8pZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go","old_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","new_string":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":955,"cache_read_input_tokens":71266,"output_tokens":1692,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":955,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6aj64SNo9N1xgzrnbah","type":"assistant","uuid":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","timestamp":"2026-03-16T10:14:16.085Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} 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cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","newString":"func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Transfer cached jobs to main table and clear cache in a single transaction.\n\ttx, err := r.DB.Beginx()\n\tif err != nil {\n\t\tcclog.Errorf(\"SyncJobs: begin transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer tx.Rollback()\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = tx.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = tx.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\tif err := tx.Commit(); err != nil {\n\t\tcclog.Errorf(\"SyncJobs: commit transaction: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst NamedJobCacheInsert string = `INSERT INTO job_cache (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\nconst NamedJobInsert string = `INSERT INTO job (\n\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n) VALUES (\n\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n);`\n\n// InsertJobDirect inserts a job directly into the job table (not job_cache).\n// Use this when the returned ID will be used for operations on the job table\n// (e.g., adding tags), or for imported jobs that are already completed.\nfunc (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while NamedJobInsert\")\n\t\treturn 0, err\n\t}\n\tid, err := res.LastInsertId()\n\tif err != nil {\n\t\tcclog.Warn(\"Error while getting last insert ID\")\n\t\treturn 0, err\n\t}\n\n\treturn id, nil\n}\n\nfunc (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n\tr.Mutex.Lock()\n\tdefer r.Mutex.Unlock()\n\n\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n\n\trows, err := query.RunWith(r.stmtCache).Query()\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running query %v\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, 50)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n\t_, err = r.DB.Exec(\n\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n\t\treturn nil, err\n\t}\n\n\t// Resolve correct job.id from the job table. The IDs read from job_cache\n\t// are from a different auto-increment sequence and must not be used to\n\t// query the job table.\n\tfor _, job := range jobs {\n\t\tvar newID int64\n\t\tif err := sq.Select(\"job.id\").From(\"job\").\n\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n\t\t\t\tjob.JobID, job.Cluster, err)\n\t\t\tcontinue\n\t\t}\n\t\tjob.ID = &newID\n\t}\n\n\treturn jobs, nil\n}\n\n// TransferCachedJobToMain moves a job from job_cache to the job table.\n// Caller must hold r.Mutex. Returns the new job table ID.\nfunc (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n\tres, err := r.DB.Exec(\n\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n\t\tcacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n\t}\n\n\tnewID, err := res.LastInsertId()\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n\t}\n\n\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n\tif err != nil {\n\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n\t}\n\n\treturn newID, nil\n}\n\n// Start inserts a new job in the table, returning the unique job ID.\n// Statistics are not transfered!\nfunc (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJob(job)\n}\n\n// StartDirect inserts a new job directly into the job table (not job_cache).\n// Use this when the returned ID will immediately be used for job table\n// operations such as adding tags.\nfunc (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n\t}\n\n\tjob.RawResources, err = json.Marshal(job.Resources)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n\t}\n\n\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n\tif err != nil {\n\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n\t}\n\n\treturn r.InsertJobDirect(job)\n}\n\n// Stop updates the job with the database id jobId using the provided arguments.\nfunc (r *JobRepository) Stop(\n\tjobID int64,\n\tduration int32,\n\tstate schema.JobState,\n\tmonitoringStatus int32,\n) (err error) {\n\t// Invalidate cache entries as job state is changing\n\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n\n\tstmt := sq.Update(\"job\").\n\t\tSet(\"job_state\", state).\n\t\tSet(\"duration\", duration).\n\t\tSet(\"monitoring_status\", monitoringStatus).\n\t\tWhere(\"job.id = ?\", jobID)\n\n\t_, err = stmt.RunWith(r.stmtCache).Exec()\n\treturn err\n}\n","structuredPatch":[{"oldStart":92,"oldLines":20,"newStart":92,"newLines":33,"lines":[" jobs = append(jobs, job)"," }"," ","+ // Transfer cached jobs to main table and clear cache in a single transaction.","+ tx, err := r.DB.Beginx()","+ if err != nil {","+ cclog.Errorf(\"SyncJobs: begin transaction: %v\", err)","+ return nil, err","+ }","+ defer tx.Rollback()","+"," // Use INSERT OR IGNORE to skip jobs already transferred by the stop path","- _, err = r.DB.Exec(","+ _, err = tx.Exec("," \"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")"," if err != nil {"," cclog.Errorf(\"Error while Job sync: %v\", err)"," return nil, err"," }"," ","- _, err = r.DB.Exec(\"DELETE FROM job_cache\")","+ _, err = tx.Exec(\"DELETE FROM job_cache\")"," if err != nil {"," cclog.Errorf(\"Error while Job cache clean: %v\", err)"," return nil, err"," }"," ","+ if err := tx.Commit(); err != nil {","+ cclog.Errorf(\"SyncJobs: commit transaction: %v\", err)","+ return nil, err","+ }","+"," // Resolve correct job.id from the job table. The IDs read from job_cache"," // are from a different auto-increment sequence and must not be used to"," // query the job table."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"5d65a99e-fbc1-45d5-9fce-5aa84524dc4d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"fcc6aa60-5d51-4569-96d6-98061822f963","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BewUjJvbd6HUzjE1jk3W19","type":"message","role":"assistant","content":[{"type":"text","text":"**Fix 4: NATS semaphores**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1736,"cache_read_input_tokens":72221,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1736},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6akjfep1TWFw8enp3sh","type":"assistant","uuid":"c0ddf07e-5da4-46a9-82fd-cefe50d6859f","timestamp":"2026-03-16T10:14:19.842Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"c0ddf07e-5da4-46a9-82fd-cefe50d6859f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BewUjJvbd6HUzjE1jk3W19","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","new_string":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1736,"cache_read_input_tokens":72221,"output_tokens":463,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1736,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6akjfep1TWFw8enp3sh","type":"assistant","uuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","timestamp":"2026-03-16T10:14:25.639Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014HMVkUZgUEv2F5FVEvG9yC","toolUseID":"toolu_014HMVkUZgUEv2F5FVEvG9yC","timestamp":"2026-03-16T10:14:25.663Z","uuid":"62f8ee7a-51bc-4db5-a068-b7ad5d89796a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3775dc48-712d-4527-831d-4b8ba6f366d9","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HMVkUZgUEv2F5FVEvG9yC","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","timestamp":"2026-03-16T10:14:25.663Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}","newString":"type NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":64,"oldLines":12,"newStart":64,"newLines":19,"lines":[" // RepositoryMutex protects job creation operations from race conditions"," // when checking for duplicate jobs during startJob calls."," RepositoryMutex sync.Mutex","+ // jobSem limits concurrent NATS job event processing to prevent goroutine accumulation","+ // when the database is under contention.","+ jobSem chan struct{}","+ // nodeSem limits concurrent NATS node state processing.","+ nodeSem chan struct{}"," }"," "," // NewNatsAPI creates a new NatsAPI instance with default dependencies."," func NewNatsAPI() *NatsAPI {"," return &NatsAPI{"," JobRepository: repository.GetJobRepository(),","+ jobSem: make(chan struct{}, 8),","+ nodeSem: make(chan struct{}, 2),"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"3775dc48-712d-4527-831d-4b8ba6f366d9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"ee24031c-69cc-4429-8b76-a49bdc1e244e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add semaphore acquire/release to `handleJobEvent` and `handleNodeState`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":618},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"493fc493-c27b-477d-a40e-229856dd3a25","timestamp":"2026-03-16T10:14:29.415Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"493fc493-c27b-477d-a40e-229856dd3a25","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01BAi9cdLpY9ze3kti1EgJd8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F343pD8uwJ3KXtR8moYRXc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":618,"cache_read_input_tokens":73957,"output_tokens":330,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":618,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amSZHFncC3Jwm7TmpJ","type":"assistant","uuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","timestamp":"2026-03-16T10:14:31.960Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","toolUseID":"toolu_01F343pD8uwJ3KXtR8moYRXc","timestamp":"2026-03-16T10:14:31.972Z","uuid":"0e01642d-c7a2-434b-86e8-aa9d2671dea5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F343pD8uwJ3KXtR8moYRXc","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","timestamp":"2026-03-16T10:14:31.972Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":144,"oldLines":6,"newStart":144,"newLines":9,"lines":[" //"," // Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000"," func (api *NatsAPI) handleJobEvent(subject string, data []byte) {","+ api.jobSem <- struct{}{}","+ defer func() { <-api.jobSem }()","+"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1ef8186a-a04a-482e-b9a5-3c346596f2fc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"56d57da3-6e7b-40c4-8d7c-511fcb0411d5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018GDq8pzsSNa7nJereCUUuJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017JDESo1Lkjh5SWMU35gSHD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","old_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","new_string":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":374,"cache_read_input_tokens":74575,"output_tokens":309,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":374,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6amuTHvcstiLQtphpTt","type":"assistant","uuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","timestamp":"2026-03-16T10:14:36.687Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","toolUseID":"toolu_017JDESo1Lkjh5SWMU35gSHD","timestamp":"2026-03-16T10:14:36.702Z","uuid":"f81a86b2-4d61-41bf-b4ea-3a85809dacee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017JDESo1Lkjh5SWMU35gSHD","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go has been updated successfully."}]},"uuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","timestamp":"2026-03-16T10:14:36.702Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/nats.go","oldString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","newString":"func (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tapi.nodeSem <- struct{}{}\n\tdefer func() { <-api.nodeSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage api\n\nimport (\n\t\"database/sql\"\n\t\"encoding/json\"\n\t\"strings\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/importer\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tlp \"github.com/ClusterCockpit/cc-lib/v2/ccMessage\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/receivers\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tinflux \"github.com/ClusterCockpit/cc-line-protocol/v2/lineprotocol\"\n)\n\n// NatsAPI provides NATS subscription-based handlers for Job and Node operations.\n// It mirrors the functionality of the REST API but uses NATS messaging with\n// InfluxDB line protocol as the message format.\n//\n// # Message Format\n//\n// All NATS messages use InfluxDB line protocol format (https://docs.influxdata.com/influxdb/v2.0/reference/syntax/line-protocol/)\n// with the following structure:\n//\n//\tmeasurement,tag1=value1,tag2=value2 field1=value1,field2=value2 timestamp\n//\n// # Job Events\n//\n// Job start/stop events use the \"job\" measurement with a \"function\" tag to distinguish operations:\n//\n//\tjob,function=start_job event=\"{...JSON payload...}\" \n//\tjob,function=stop_job event=\"{...JSON payload...}\" \n//\n// The JSON payload in the \"event\" field follows the schema.Job or StopJobAPIRequest structure.\n//\n// Example job start message:\n//\n//\tjob,function=start_job event=\"{\\\"jobId\\\":1001,\\\"user\\\":\\\"testuser\\\",\\\"cluster\\\":\\\"testcluster\\\",...}\" 1234567890000000000\n//\n// # Node State Events\n//\n// Node state updates use the \"nodestate\" measurement with cluster information:\n//\n//\tnodestate event=\"{...JSON payload...}\" \n//\n// The JSON payload follows the UpdateNodeStatesRequest structure.\n//\n// Example node state message:\n//\n//\tnodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[{\\\"hostname\\\":\\\"node01\\\",\\\"states\\\":[\\\"idle\\\"]}]}\" 1234567890000000000\ntype NatsAPI struct {\n\tJobRepository *repository.JobRepository\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob calls.\n\tRepositoryMutex sync.Mutex\n\t// jobSem limits concurrent NATS job event processing to prevent goroutine accumulation\n\t// when the database is under contention.\n\tjobSem chan struct{}\n\t// nodeSem limits concurrent NATS node state processing.\n\tnodeSem chan struct{}\n}\n\n// NewNatsAPI creates a new NatsAPI instance with default dependencies.\nfunc NewNatsAPI() *NatsAPI {\n\treturn &NatsAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tjobSem: make(chan struct{}, 8),\n\t\tnodeSem: make(chan struct{}, 2),\n\t}\n}\n\n// StartSubscriptions registers all NATS subscriptions for Job and Node APIs.\n// Returns an error if the NATS client is not available or subscription fails.\nfunc (api *NatsAPI) StartSubscriptions() error {\n\tclient := nats.GetClient()\n\tif client == nil {\n\t\tcclog.Warn(\"NATS client not available, skipping API subscriptions\")\n\t\treturn nil\n\t}\n\n\tif config.Keys.APISubjects != nil {\n\n\t\ts := config.Keys.APISubjects\n\n\t\tif err := client.Subscribe(s.SubjectJobEvent, api.handleJobEvent); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif err := client.Subscribe(s.SubjectNodeState, api.handleNodeState); err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tcclog.Info(\"NATS API subscriptions started\")\n\t}\n\treturn nil\n}\n\n// processJobEvent routes job event messages to the appropriate handler based on the \"function\" tag.\n// Validates that required tags and fields are present before processing.\nfunc (api *NatsAPI) processJobEvent(msg lp.CCMessage) {\n\tfunction, ok := msg.GetTag(\"function\")\n\tif !ok {\n\t\tcclog.Errorf(\"Job event is missing required tag 'function': measurement=%s\", msg.Name())\n\t\treturn\n\t}\n\n\tswitch function {\n\tcase \"start_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job start event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStartJob(v)\n\n\tcase \"stop_job\":\n\t\tv, ok := msg.GetEventValue()\n\t\tif !ok {\n\t\t\tcclog.Errorf(\"Job stop event is missing event field with JSON payload\")\n\t\t\treturn\n\t\t}\n\t\tapi.handleStopJob(v)\n\n\tdefault:\n\t\tcclog.Warnf(\"Unknown job event function '%s', expected 'start_job' or 'stop_job'\", function)\n\t}\n}\n\n// handleJobEvent processes job-related messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"job\" and include:\n// - tag \"function\" with value \"start_job\" or \"stop_job\"\n// - field \"event\" containing JSON payload (schema.Job or StopJobAPIRequest)\n//\n// Example: job,function=start_job event=\"{\\\"jobId\\\":1001,...}\" 1234567890000000000\nfunc (api *NatsAPI) handleJobEvent(subject string, data []byte) {\n\tapi.jobSem <- struct{}{}\n\tdefer func() { <-api.jobSem }()\n\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Debugf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"job\" {\n\t\t\tapi.processJobEvent(m)\n\t\t} else {\n\t\t\tcclog.Debugf(\"NATS %s: unexpected measurement name '%s', expected 'job'\", subject, m.Name())\n\t\t}\n\t}\n}\n\n// handleStartJob processes job start messages received via NATS.\n// The payload parameter contains JSON following the schema.Job structure.\n// Jobs are validated, checked for duplicates, and inserted into the database.\nfunc (api *NatsAPI) handleStartJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS start job: payload is empty\")\n\t\treturn\n\t}\n\treq := schema.Job{\n\t\tShared: \"none\",\n\t\tMonitoringStatus: schema.MonitoringStatusRunningOrArchiving,\n\t}\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tcclog.Debugf(\"NATS start job: %s\", req.GoString())\n\treq.State = schema.JobStateRunning\n\n\tif err := importer.SanityChecks(&req); err != nil {\n\t\tcclog.Errorf(\"NATS start job: sanity check failed: %v\", err)\n\t\treturn\n\t}\n\n\tvar unlockOnce sync.Once\n\tapi.RepositoryMutex.Lock()\n\tdefer unlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tjobs, err := api.JobRepository.FindAll(&req.JobID, &req.Cluster, nil)\n\tif err != nil && err != sql.ErrNoRows {\n\t\tcclog.Errorf(\"NATS start job: checking for duplicate failed: %v\", err)\n\t\treturn\n\t}\n\tif err == nil {\n\t\tfor _, job := range jobs {\n\t\t\tif (req.StartTime - job.StartTime) < secondsPerDay {\n\t\t\t\tcclog.Errorf(\"NATS start job: job with jobId %d, cluster %s already exists (dbid: %d)\",\n\t\t\t\t\treq.JobID, req.Cluster, job.ID)\n\t\t\t\treturn\n\t\t\t}\n\t\t}\n\t}\n\n\t// When tags are present, insert directly into the job table so that the\n\t// returned ID can be used with AddTagOrCreate (which queries the job table).\n\tvar id int64\n\tif len(req.Tags) > 0 {\n\t\tid, err = api.JobRepository.StartDirect(&req)\n\t} else {\n\t\tid, err = api.JobRepository.Start(&req)\n\t}\n\tif err != nil {\n\t\tcclog.Errorf(\"NATS start job: insert into database failed: %v\", err)\n\t\treturn\n\t}\n\tunlockOnce.Do(api.RepositoryMutex.Unlock)\n\n\tfor _, tag := range req.Tags {\n\t\tif _, err := api.JobRepository.AddTagOrCreate(nil, id, tag.Type, tag.Name, tag.Scope); err != nil {\n\t\t\tcclog.Errorf(\"NATS start job: adding tag to new job %d failed: %v\", id, err)\n\t\t\treturn\n\t\t}\n\t}\n\n\tcclog.Infof(\"NATS: new job (id: %d): cluster=%s, jobId=%d, user=%s, startTime=%d\",\n\t\tid, req.Cluster, req.JobID, req.User, req.StartTime)\n}\n\n// handleStopJob processes job stop messages received via NATS.\n// The payload parameter contains JSON following the StopJobAPIRequest structure.\n// The job is marked as stopped in the database and archiving is triggered if monitoring is enabled.\nfunc (api *NatsAPI) handleStopJob(payload string) {\n\tif payload == \"\" {\n\t\tcclog.Error(\"NATS stop job: payload is empty\")\n\t\treturn\n\t}\n\tvar req StopJobAPIRequest\n\n\tdec := json.NewDecoder(strings.NewReader(payload))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\tif req.JobID == nil {\n\t\tcclog.Errorf(\"NATS job stop: the field 'jobId' is required\")\n\t\treturn\n\t}\n\n\tisCached := false\n\tjob, err := api.JobRepository.FindCached(req.JobID, req.Cluster, req.StartTime)\n\tif err != nil {\n\t\t// Not in cache, try main job table\n\t\tjob, err = api.JobRepository.Find(req.JobID, req.Cluster, req.StartTime)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: finding job failed: %v\", err)\n\t\t\treturn\n\t\t}\n\t} else {\n\t\tisCached = true\n\t}\n\n\tif job.State != schema.JobStateRunning {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: job has already been stopped (state is: %s)\",\n\t\t\tjob.JobID, job.ID, job.Cluster, job.State)\n\t\treturn\n\t}\n\n\tif job.StartTime > req.StopTime {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: stopTime %d must be >= startTime %d\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.StopTime, job.StartTime)\n\t\treturn\n\t}\n\n\tif req.State != \"\" && !req.State.Valid() {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: invalid job state: %#v\",\n\t\t\tjob.JobID, job.ID, job.Cluster, req.State)\n\t\treturn\n\t} else if req.State == \"\" {\n\t\treq.State = schema.JobStateCompleted\n\t}\n\n\tjob.Duration = int32(req.StopTime - job.StartTime)\n\tjob.State = req.State\n\tapi.JobRepository.Mutex.Lock()\n\tdefer api.JobRepository.Mutex.Unlock()\n\n\t// If the job is still in job_cache, transfer it to the job table first\n\tif isCached {\n\t\tnewID, err := api.JobRepository.TransferCachedJobToMain(*job.ID)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: transferring cached job failed: %v\",\n\t\t\t\tjob.JobID, *job.ID, job.Cluster, err)\n\t\t\treturn\n\t\t}\n\t\tcclog.Infof(\"NATS: transferred cached job to main table: old id %d -> new id %d (jobId=%d)\", *job.ID, newID, job.JobID)\n\t\tjob.ID = &newID\n\t}\n\n\tif err := api.JobRepository.Stop(*job.ID, job.Duration, job.State, job.MonitoringStatus); err != nil {\n\t\tcclog.Errorf(\"NATS job stop: jobId %d (id %d) on %s: marking job as '%s' failed: %v\",\n\t\t\tjob.JobID, *job.ID, job.Cluster, job.State, err)\n\t\treturn\n\t}\n\n\tcclog.Infof(\"NATS: archiving job (dbid: %d): cluster=%s, jobId=%d, user=%s, startTime=%d, duration=%d, state=%s\",\n\t\t*job.ID, job.Cluster, job.JobID, job.User, job.StartTime, job.Duration, job.State)\n\n\tif job.MonitoringStatus == schema.MonitoringStatusDisabled {\n\t\treturn\n\t}\n\n\tarchiver.TriggerArchiving(job)\n}\n\n// processNodestateEvent extracts and processes node state data from the InfluxDB message.\n// Updates node states in the repository for all nodes in the payload.\nfunc (api *NatsAPI) processNodestateEvent(msg lp.CCMessage) {\n\tv, ok := msg.GetEventValue()\n\tif !ok {\n\t\tcclog.Errorf(\"Nodestate event is missing event field with JSON payload\")\n\t\treturn\n\t}\n\n\tvar req UpdateNodeStatesRequest\n\n\tdec := json.NewDecoder(strings.NewReader(v))\n\tdec.DisallowUnknownFields()\n\tif err := dec.Decode(&req); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: parsing request failed: %v\", err)\n\t\treturn\n\t}\n\n\trepo := repository.GetNodeRepository()\n\trequestReceived := time.Now().Unix()\n\n\tupdates := make([]repository.NodeStateUpdate, 0, len(req.Nodes))\n\tfor _, node := range req.Nodes {\n\t\tstate := determineState(node.States)\n\t\tnodeState := schema.NodeStateDB{\n\t\t\tTimeStamp: requestReceived,\n\t\t\tNodeState: state,\n\t\t\tCpusAllocated: node.CpusAllocated,\n\t\t\tMemoryAllocated: node.MemoryAllocated,\n\t\t\tGpusAllocated: node.GpusAllocated,\n\t\t\tHealthState: schema.MonitoringStateFull,\n\t\t\tJobsRunning: node.JobsRunning,\n\t\t}\n\t\tupdates = append(updates, repository.NodeStateUpdate{\n\t\t\tHostname: node.Hostname,\n\t\t\tCluster: req.Cluster,\n\t\t\tNodeState: &nodeState,\n\t\t})\n\t}\n\n\tif err := repo.BatchUpdateNodeStates(updates); err != nil {\n\t\tcclog.Errorf(\"NATS nodestate: batch update for cluster %s failed: %v\", req.Cluster, err)\n\t}\n\n\tcclog.Debugf(\"NATS nodestate: updated %d node states for cluster %s\", len(req.Nodes), req.Cluster)\n}\n\n// handleNodeState processes node state update messages received via NATS using InfluxDB line protocol.\n// The message must be in line protocol format with measurement=\"nodestate\" and include:\n// - field \"event\" containing JSON payload (UpdateNodeStatesRequest)\n//\n// Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000\nfunc (api *NatsAPI) handleNodeState(subject string, data []byte) {\n\tif len(data) == 0 {\n\t\tcclog.Warnf(\"NATS %s: received empty message\", subject)\n\t\treturn\n\t}\n\n\td := influx.NewDecoderWithBytes(data)\n\n\tfor d.Next() {\n\t\tm, err := receivers.DecodeInfluxMessage(d)\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"NATS %s: failed to decode InfluxDB line protocol message: %v\", subject, err)\n\t\t\treturn\n\t\t}\n\n\t\tif !m.IsEvent() {\n\t\t\tcclog.Warnf(\"NATS %s: received non-event message, skipping\", subject)\n\t\t\tcontinue\n\t\t}\n\n\t\tif m.Name() == \"nodestate\" {\n\t\t\tapi.processNodestateEvent(m)\n\t\t} else {\n\t\t\tcclog.Warnf(\"NATS %s: unexpected measurement name '%s', expected 'nodestate'\", subject, m.Name())\n\t\t}\n\t}\n}\n","structuredPatch":[{"oldStart":387,"oldLines":6,"newStart":387,"newLines":9,"lines":[" //"," // Example: nodestate event=\"{\\\"cluster\\\":\\\"testcluster\\\",\\\"nodes\\\":[...]}\" 1234567890000000000"," func (api *NatsAPI) handleNodeState(subject string, data []byte) {","+ api.nodeSem <- struct{}{}","+ defer func() { <-api.nodeSem }()","+"," if len(data) == 0 {"," cclog.Warnf(\"NATS %s: received empty message\", subject)"," return"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d7e94c87-1f2a-4e1b-9161-c8c4ea41292f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"a9a61ff3-ead3-48d1-807b-e2a14ab45568","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the build compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":353},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","timestamp":"2026-03-16T10:14:40.520Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"6362acdd-a63c-4cc8-81f5-6b956b1dcd7b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01N5TaR6cLdSMWNQuMeYKmWB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CgY2oc22d2vjfwDVzGB6c9","name":"Bash","input":{"command":"go build ./...","description":"Build all packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":353,"cache_read_input_tokens":74949,"output_tokens":120,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":353,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6anFfDoyRxTbWofrkvV","type":"assistant","uuid":"3a9382a3-91d3-40be-808b-39ea30e193f1","timestamp":"2026-03-16T10:14:41.475Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"3a9382a3-91d3-40be-808b-39ea30e193f1","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CgY2oc22d2vjfwDVzGB6c9","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"63763e9c-e27e-45bc-b767-44d84c1e8b38","timestamp":"2026-03-16T10:14:48.039Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"3a9382a3-91d3-40be-808b-39ea30e193f1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"63763e9c-e27e-45bc-b767-44d84c1e8b38","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmhbbndncnszFFK3uYTp3J","type":"message","role":"assistant","content":[{"type":"text","text":"Build succeeds. Let me run the relevant tests:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":119,"cache_read_input_tokens":75302,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":119},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6ao6A15Xjxa9UQNEGG6","type":"assistant","uuid":"8f61a61a-d8ec-4313-b567-ed8a0e8307ac","timestamp":"2026-03-16T10:14:51.354Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"8f61a61a-d8ec-4313-b567-ed8a0e8307ac","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WmhbbndncnszFFK3uYTp3J","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BhWi1H4DJBVHWboGS1x2eX","name":"Bash","input":{"command":"go test ./internal/repository/... ./internal/api/... ./internal/auth/... 2>&1","description":"Run tests for modified packages","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":119,"cache_read_input_tokens":75302,"output_tokens":145,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":119,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ao6A15Xjxa9UQNEGG6","type":"assistant","uuid":"77d719c1-6757-4d2c-b38f-c672ede8398d","timestamp":"2026-03-16T10:14:52.492Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"77d719c1-6757-4d2c-b38f-c672ede8398d","isSidechain":false,"promptId":"34991249-dcfc-497b-827c-92dda3b7ddac","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BhWi1H4DJBVHWboGS1x2eX","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.110s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.668s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/auth\t0.937s","is_error":false}]},"uuid":"294215b8-42db-44b9-97a9-36eeaafa8948","timestamp":"2026-03-16T10:15:01.716Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t1.110s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/api\t7.668s\nok \tgithub.com/ClusterCockpit/cc-backend/internal/auth\t0.937s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"77d719c1-6757-4d2c-b38f-c672ede8398d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"294215b8-42db-44b9-97a9-36eeaafa8948","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012bLfeSzbtpGkqVUqKuL5vW","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of all changes:\n\n**Fix 1 — busy_timeout (contention relief)**\n- `internal/repository/config.go`: Added `BusyTimeoutMs` field (default 60000)\n- `internal/repository/dbConnection.go:73`: Uses configurable `repoConfig.BusyTimeoutMs` instead of hardcoded `5000`\n- `pkg/archive/sqliteBackend.go:105`: Changed hardcoded `busy_timeout` from 5000 to 60000\n\n**Fix 2 — Batch node state updates**\n- `internal/repository/node.go`: Added `NodeStateUpdate` struct and `BatchUpdateNodeStates()` method that runs all lookups+inserts in a single transaction with prepared statements\n- `internal/api/nats.go:348-367`: Builds a slice and calls `BatchUpdateNodeStates` instead of per-node `UpdateNodeState`\n- `internal/api/node.go:119-142`: Same batch approach for the REST path (health checks still run per-node before batching the DB part)\n\n**Fix 3 — LDAP sync race condition**\n- `internal/repository/user.go`: Added `AddUserIfNotExists()` using `INSERT OR IGNORE`\n- `internal/auth/ldap.go:213`: Changed `AddUser` to `AddUserIfNotExists` — sync no longer aborts on concurrent user creation\n\n**Fix 4 — NATS semaphores**\n- `internal/api/nats.go`: Added `jobSem` (cap 8) and `nodeSem` (cap 2) channels to `NatsAPI` struct\n- `handleJobEvent` and `handleNodeState` acquire/release the semaphore, capping concurrent goroutines\n\n**Fix 5 — SyncJobs transaction**\n- `internal/repository/jobCreate.go:72-126`: Wrapped the INSERT...SELECT + DELETE in a single `Beginx()`/`Commit()` transaction, reducing lock acquisitions from 3 to 1"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":215,"cache_read_input_tokens":75421,"output_tokens":487,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":215,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6ap6cZS2z6UvF1qWoyk","type":"assistant","uuid":"2c888049-2994-4c80-ba93-dda863b33e3c","timestamp":"2026-03-16T10:15:13.958Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} +{"parentUuid":"2c888049-2994-4c80-ba93-dda863b33e3c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"603bfe85-3b90-4b76-9fe9-bb56aa491b81","toolUseID":"603bfe85-3b90-4b76-9fe9-bb56aa491b81","timestamp":"2026-03-16T10:15:13.974Z","uuid":"e30bac62-0c03-4836-8c6c-f43dd17b2048","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3a41c7a4-abf8-484b-96ae-ee5618eea5ba","version":"2.1.76","gitBranch":"hotfix","slug":"woolly-wandering-narwhal"} diff --git a/a1/e2931d4deb/0/metadata.json b/a1/e2931d4deb/0/metadata.json new file mode 100644 index 00000000..096f44be --- /dev/null +++ b/a1/e2931d4deb/0/metadata.json @@ -0,0 +1,41 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "a1e2931d4deb", + "session_id": "3a41c7a4-abf8-484b-96ae-ee5618eea5ba", + "strategy": "manual-commit", + "created_at": "2026-03-16T10:17:47.731375Z", + "branch": "hotfix", + "checkpoints_count": 1, + "files_touched": [ + "internal/api/nats.go", + "internal/api/node.go", + "internal/auth/ldap.go", + "internal/repository/config.go", + "internal/repository/dbConnection.go", + "internal/repository/jobCreate.go", + "internal/repository/node.go", + "internal/repository/user.go", + "pkg/archive/sqliteBackend.go" + ], + "agent": "Claude Code", + "turn_id": "72ee57b2c2ee", + "token_usage": { + "input_tokens": 16, + "cache_creation_tokens": 61338, + "cache_read_tokens": 896146, + "output_tokens": 8691, + "api_call_count": 14 + }, + "session_metrics": { + "turn_count": 1 + }, + "initial_attribution": { + "calculated_at": "2026-03-16T10:17:47.526435Z", + "agent_lines": 142, + "human_added": 0, + "human_modified": 0, + "human_removed": 0, + "total_committed": 142, + "agent_percentage": 100 + } +} diff --git a/a1/e2931d4deb/metadata.json b/a1/e2931d4deb/metadata.json new file mode 100644 index 00000000..080de6ed --- /dev/null +++ b/a1/e2931d4deb/metadata.json @@ -0,0 +1,33 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "a1e2931d4deb", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 1, + "files_touched": [ + "internal/api/nats.go", + "internal/api/node.go", + "internal/auth/ldap.go", + "internal/repository/config.go", + "internal/repository/dbConnection.go", + "internal/repository/jobCreate.go", + "internal/repository/node.go", + "internal/repository/user.go", + "pkg/archive/sqliteBackend.go" + ], + "sessions": [ + { + "metadata": "/a1/e2931d4deb/0/metadata.json", + "transcript": "/a1/e2931d4deb/0/full.jsonl", + "content_hash": "/a1/e2931d4deb/0/content_hash.txt", + "prompt": "" + } + ], + "token_usage": { + "input_tokens": 16, + "cache_creation_tokens": 61338, + "cache_read_tokens": 896146, + "output_tokens": 8691, + "api_call_count": 14 + } +} diff --git a/a3/dba4105838/0/content_hash.txt b/a3/dba4105838/0/content_hash.txt new file mode 100644 index 00000000..e4230c7b --- /dev/null +++ b/a3/dba4105838/0/content_hash.txt @@ -0,0 +1 @@ +sha256:b99c9b469fa38a87819748fa634a401dfd0c2b14393b77824abc59c9e0f5dcec \ No newline at end of file diff --git a/a3/dba4105838/0/full.jsonl b/a3/dba4105838/0/full.jsonl new file mode 100644 index 00000000..9bccd505 --- /dev/null +++ b/a3/dba4105838/0/full.jsonl @@ -0,0 +1,232 @@ +{"type":"file-history-snapshot","messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"70a112de-87e3-427c-a118-14893d28b404","toolUseID":"70a112de-87e3-427c-a118-14893d28b404","timestamp":"2026-03-13T13:23:59.350Z","uuid":"df60955c-f9ff-4dab-a61c-5f1dfbe81b17","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"df60955c-f9ff-4dab-a61c-5f1dfbe81b17","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/3643a384-f90b-4f89-9ba0-2e5861a4674c.jsonl"},"uuid":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","timestamp":"2026-03-13T13:23:56.397Z","planContent":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EokCCkYICxgCKkCdG8qTncIMduu4zwRjj7Z6HD4E3ibSocGCEFy+okymW5hfegj+cwP+HURWuVT4O1mWtXVgfpBHoKX+2oLylj9sEgwzPGsPnXjYFcxrKFMaDAev4ooJ446eDxy1ByIw8Y/W4j3SnXno88TnaXfVze4x2NJ/fsEAd4xKVdz7anms4SsFMwuqBGzhkkNcE6cIKnFjrmygWDzz8SeuNa+3x/VHQgewNhEDgadxFWXFeP12LS0UWwVyFceHfznPgkQfzLjsXeu8yquLwdiYpbc7X4K47PYdHYV90GCwv/a1IwOBq1n9oZLjbgVCMGXto3AuEFw9aE+wxdxG40sfQfQOqepm1hgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"d570cc63-fff0-4997-aee5-0171d2050e1c","timestamp":"2026-03-13T13:24:02.290Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d570cc63-fff0-4997-aee5-0171d2050e1c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the key files first."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"d16731dc-9a95-47b3-bcee-11eed8eac424","timestamp":"2026-03-13T13:24:02.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d16731dc-9a95-47b3-bcee-11eed8eac424","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","timestamp":"2026-03-13T13:24:03.594Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","toolUseID":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","timestamp":"2026-03-13T13:24:03.607Z","uuid":"4362feed-5761-4afe-9d12-74e8a7e8bb6b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01C8kNf5XS2XsTbdPcUxHsuu","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n 25→// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n 26→// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n 27→// - Version 10: Node table\n 28→//\n 29→// Migration files are embedded at build time from the migrations directory.\n 30→const Version uint = 13\n 31→\n 32→//go:embed migrations/*\n 33→var migrationFiles embed.FS\n 34→\n 35→// checkDBVersion verifies that the database schema version matches the expected version.\n 36→// This is called automatically during Connect() to ensure schema compatibility.\n 37→//\n 38→// Returns an error if:\n 39→// - Database version is older than expected (needs migration)\n 40→// - Database version is newer than expected (needs app upgrade)\n 41→// - Database is in a dirty state (failed migration)\n 42→//\n 43→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 44→// This requires manual intervention to fix the database and force the version.\n 45→func checkDBVersion(db *sql.DB) error {\n 46→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 47→\tif err != nil {\n 48→\t\treturn err\n 49→\t}\n 50→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 51→\tif err != nil {\n 52→\t\treturn err\n 53→\t}\n 54→\n 55→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 56→\tif err != nil {\n 57→\t\treturn err\n 58→\t}\n 59→\n 60→\tv, dirty, err := m.Version()\n 61→\tif err != nil {\n 62→\t\tif err == migrate.ErrNilVersion {\n 63→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 64→\t\t} else {\n 65→\t\t\treturn err\n 66→\t\t}\n 67→\t}\n 68→\n 69→\tif v < Version {\n 70→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 71→\t} else if v > Version {\n 72→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 73→\t}\n 74→\n 75→\tif dirty {\n 76→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 77→\t}\n 78→\n 79→\treturn nil\n 80→}\n 81→\n 82→// getMigrateInstance creates a new migration instance for the given database file.\n 83→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 84→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 85→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 86→\tif err != nil {\n 87→\t\treturn nil, err\n 88→\t}\n 89→\n 90→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 91→\tif err != nil {\n 92→\t\treturn nil, err\n 93→\t}\n 94→\n 95→\treturn m, nil\n 96→}\n 97→\n 98→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 99→// This should be run with the -migrate-db flag before starting the application\n 100→// after upgrading to a new version that requires schema changes.\n 101→//\n 102→// Process:\n 103→// 1. Checks current database version\n 104→// 2. Applies all migrations from current version to target Version\n 105→// 3. Updates schema_migrations table to track applied migrations\n 106→//\n 107→// Important:\n 108→// - Always backup your database before running migrations\n 109→// - Migrations are irreversible without manual intervention\n 110→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 111→//\n 112→// Usage:\n 113→//\n 114→//\tcc-backend -migrate-db\n 115→func MigrateDB(db string) error {\n 116→\tm, err := getMigrateInstance(db)\n 117→\tif err != nil {\n 118→\t\treturn err\n 119→\t}\n 120→\n 121→\tv, dirty, err := m.Version()\n 122→\tif err != nil {\n 123→\t\tif err == migrate.ErrNilVersion {\n 124→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 125→\t\t} else {\n 126→\t\t\treturn err\n 127→\t\t}\n 128→\t}\n 129→\n 130→\tif v < Version {\n 131→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 132→\t}\n 133→\n 134→\tif dirty {\n 135→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 136→\t}\n 137→\n 138→\tif err := m.Up(); err != nil {\n 139→\t\tif err == migrate.ErrNoChange {\n 140→\t\t\tcclog.Info(\"DB already up to date!\")\n 141→\t\t} else {\n 142→\t\t\treturn err\n 143→\t\t}\n 144→\t}\n 145→\n 146→\tm.Close()\n 147→\treturn nil\n 148→}\n 149→\n 150→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 151→// This is primarily used for testing or emergency rollback scenarios.\n 152→//\n 153→// Warning:\n 154→// - This may cause data loss if newer schema added columns/tables\n 155→// - Always backup before reverting\n 156→// - Not all migrations are safely reversible\n 157→//\n 158→// Usage:\n 159→//\n 160→//\tcc-backend -revert-db\n 161→func RevertDB(db string) error {\n 162→\tm, err := getMigrateInstance(db)\n 163→\tif err != nil {\n 164→\t\treturn err\n 165→\t}\n 166→\n 167→\tif err := m.Migrate(Version - 1); err != nil {\n 168→\t\tif err == migrate.ErrNoChange {\n 169→\t\t\tcclog.Info(\"DB already up to date!\")\n 170→\t\t} else {\n 171→\t\t\treturn err\n 172→\t\t}\n 173→\t}\n 174→\n 175→\tm.Close()\n 176→\treturn nil\n 177→}\n 178→\n 179→// ForceDB forces the database schema version to the current Version without running migrations.\n 180→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 181→//\n 182→// When to use:\n 183→// - After manually fixing a failed migration\n 184→// - When you've manually applied schema changes and need to update the version marker\n 185→//\n 186→// Warning:\n 187→// - This does NOT apply any schema changes\n 188→// - Only use after manually verifying the schema is correct\n 189→// - Improper use can cause schema/version mismatch\n 190→//\n 191→// Usage:\n 192→//\n 193→//\tcc-backend -force-db\n 194→func ForceDB(db string) error {\n 195→\tm, err := getMigrateInstance(db)\n 196→\tif err != nil {\n 197→\t\treturn err\n 198→\t}\n 199→\n 200→\tif err := m.Force(int(Version)); err != nil {\n 201→\t\treturn err\n 202→\t}\n 203→\n 204→\tm.Close()\n 205→\treturn nil\n 206→}\n 207→"}]},"uuid":"5b8ee254-de84-46c5-8a9d-26b77f4443ad","timestamp":"2026-03-13T13:24:03.607Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":207,"startLine":1,"totalLines":207}},"sourceToolAssistantUUID":"a388e692-b0d1-481f-9f32-c6a06ebc2c25","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5b8ee254-de84-46c5-8a9d-26b77f4443ad","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PVaeQyVwQga8xvbXHS7Y9H","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4503,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":4503,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19o6pkh8ABRUcYePjQF","type":"assistant","uuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","timestamp":"2026-03-13T13:24:04.177Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","toolUseID":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","timestamp":"2026-03-13T13:24:04.186Z","uuid":"26758fad-e9a2-40f3-bf96-47654bd998e9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5810ecbf-ac9a-44ac-86a2-74647d424b28","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PfiZCsHyYcQR4fTz7f2rTQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tif len(filter.State) == 1 {\n 201→\t\t\tsingleStat := string(filter.State[0])\n 202→\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n 203→\t\t} else {\n 204→\t\t\tstates := make([]string, len(filter.State))\n 205→\t\t\tfor i, val := range filter.State {\n 206→\t\t\t\tstates[i] = string(val)\n 207→\t\t\t}\n 208→\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 209→\t\t}\n 210→\t}\n 211→\tif filter.Shared != nil {\n 212→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 213→\t}\n 214→\tif filter.Project != nil {\n 215→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 216→\t}\n 217→\tif filter.User != nil {\n 218→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 219→\t}\n 220→\tif filter.NumNodes != nil {\n 221→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 222→\t}\n 223→\tif filter.NumAccelerators != nil {\n 224→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 225→\t}\n 226→\tif filter.NumHWThreads != nil {\n 227→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 228→\t}\n 229→\tif filter.ArrayJobID != nil {\n 230→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 231→\t}\n 232→\tif filter.StartTime != nil {\n 233→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 234→\t}\n 235→\tif filter.Duration != nil {\n 236→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 237→\t}\n 238→\tif filter.Energy != nil {\n 239→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 240→\t}\n 241→\t// Indices on Tag Table\n 242→\tif filter.Tags != nil {\n 243→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 244→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 245→\t}\n 246→\t// No explicit Indices\n 247→\tif filter.JobID != nil {\n 248→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 249→\t}\n 250→\t// Queries Within JSONs\n 251→\tif filter.MetricStats != nil {\n 252→\t\tfor _, ms := range filter.MetricStats {\n 253→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 254→\t\t}\n 255→\t}\n 256→\tif filter.Node != nil {\n 257→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 258→\t}\n 259→\tif filter.JobName != nil {\n 260→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 261→\t}\n 262→\tif filter.Schedule != nil {\n 263→\t\tinteractiveJobname := \"interactive\"\n 264→\t\tswitch *filter.Schedule {\n 265→\t\tcase \"interactive\":\n 266→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 267→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 268→\t\tcase \"batch\":\n 269→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 270→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 271→\t\t}\n 272→\t}\n 273→\n 274→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 275→\tif filter.MinRunningFor != nil {\n 276→\t\tnow := time.Now().Unix()\n 277→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 278→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 279→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 280→\t}\n 281→\treturn query\n 282→}\n 283→\n 284→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 285→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 286→\tif cond.From != 1 && cond.To != 0 {\n 287→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 288→\t} else if cond.From != 1 && cond.To == 0 {\n 289→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 290→\t} else if cond.From == 1 && cond.To != 0 {\n 291→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 292→\t} else {\n 293→\t\treturn query\n 294→\t}\n 295→}\n 296→\n 297→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 298→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 299→\tif cond.From != 1.0 && cond.To != 0.0 {\n 300→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 301→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 302→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 303→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 304→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 305→\t} else {\n 306→\t\treturn query\n 307→\t}\n 308→}\n 309→\n 310→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 311→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 312→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 313→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 314→\tif cond.From != nil && cond.To != nil {\n 315→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 316→\t} else if cond.From != nil {\n 317→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 318→\t} else if cond.To != nil {\n 319→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 320→\t} else if cond.Range != \"\" {\n 321→\t\tnow := time.Now().Unix()\n 322→\t\tvar then int64\n 323→\t\tswitch cond.Range {\n 324→\t\tcase \"last6h\":\n 325→\t\t\tthen = now - (60 * 60 * 6)\n 326→\t\tcase \"last24h\":\n 327→\t\t\tthen = now - (60 * 60 * 24)\n 328→\t\tcase \"last7d\":\n 329→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 330→\t\tcase \"last30d\":\n 331→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 332→\t\tdefault:\n 333→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 334→\t\t\treturn query\n 335→\t\t}\n 336→\t\treturn query.Where(field+\" >= ?\", then)\n 337→\t} else {\n 338→\t\treturn query\n 339→\t}\n 340→}\n 341→\n 342→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 343→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 344→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 345→\tif cond.From != 1.0 && cond.To != 0.0 {\n 346→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 347→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 349→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 350→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 351→\t} else {\n 352→\t\treturn query\n 353→\t}\n 354→}\n 355→\n 356→// buildStringCondition creates filters for string fields supporting equality,\n 357→// inequality, prefix, suffix, substring, and IN list matching.\n 358→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 359→\tif cond.Eq != nil {\n 360→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 361→\t}\n 362→\tif cond.Neq != nil {\n 363→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 364→\t}\n 365→\tif cond.StartsWith != nil {\n 366→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 367→\t}\n 368→\tif cond.EndsWith != nil {\n 369→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 370→\t}\n 371→\tif cond.Contains != nil {\n 372→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 373→\t}\n 374→\tif cond.In != nil {\n 375→\t\tqueryElements := make([]string, len(cond.In))\n 376→\t\tcopy(queryElements, cond.In)\n 377→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 378→\t}\n 379→\treturn query\n 380→}\n 381→\n 382→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 383→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 384→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 385→\tif cond.Eq != nil {\n 386→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 387→\t}\n 388→\tif cond.Neq != nil {\n 389→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 390→\t}\n 391→\tif cond.StartsWith != nil {\n 392→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 393→\t}\n 394→\tif cond.EndsWith != nil {\n 395→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 396→\t}\n 397→\tif cond.Contains != nil {\n 398→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 399→\t}\n 400→\treturn query\n 401→}\n 402→\n 403→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 404→// Uses json_each to search within array elements.\n 405→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 406→\tquery = query.Where(\"JSON_VALID(resources)\")\n 407→\tif cond.Eq != nil {\n 408→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 409→\t}\n 410→\tif cond.Neq != nil { // Currently Unused\n 411→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 412→\t}\n 413→\tif cond.StartsWith != nil { // Currently Unused\n 414→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 415→\t}\n 416→\tif cond.EndsWith != nil { // Currently Unused\n 417→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 418→\t}\n 419→\tif cond.Contains != nil {\n 420→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 421→\t}\n 422→\treturn query\n 423→}\n 424→\n 425→var (\n 426→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 427→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 428→)\n 429→\n 430→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 431→// Includes security checks to prevent SQL injection attempts.\n 432→// Panics if potentially dangerous characters are detected.\n 433→func toSnakeCase(str string) string {\n 434→\tfor _, c := range str {\n 435→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 436→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 437→\t\t}\n 438→\t}\n 439→\n 440→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 441→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 442→\treturn strings.ToLower(snake)\n 443→}\n 444→"}]},"uuid":"05d5a5ee-cecf-4697-839a-b3bf8970dacf","timestamp":"2026-03-13T13:24:04.185Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {\n\t\t\tstates := make([]string, len(filter.State))\n\t\t\tfor i, val := range filter.State {\n\t\t\t\tstates[i] = string(val)\n\t\t\t}\n\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t\t}\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","numLines":444,"startLine":1,"totalLines":444}},"sourceToolAssistantUUID":"5810ecbf-ac9a-44ac-86a2-74647d424b28","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}\n 229→\n 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tcol := groupBy2column[*groupBy]\n 242→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 243→\n 244→\tquery, err := SecurityCheck(ctx, query)\n 245→\tif err != nil {\n 246→\t\treturn nil, err\n 247→\t}\n 248→\n 249→\tif sortBy != nil {\n 250→\t\tsortBy := sortBy2column[*sortBy]\n 251→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 252→\t}\n 253→\tif page != nil && page.ItemsPerPage != -1 {\n 254→\t\tlimit := uint64(page.ItemsPerPage)\n 255→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 256→\t}\n 257→\n 258→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 259→\tif err != nil {\n 260→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 261→\t\treturn nil, err\n 262→\t}\n 263→\tdefer rows.Close()\n 264→\n 265→\tstats := make([]*model.JobsStatistics, 0, 100)\n 266→\n 267→\tfor rows.Next() {\n 268→\t\tvar id sql.NullString\n 269→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 270→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 271→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 272→\t\t\treturn nil, err\n 273→\t\t}\n 274→\n 275→\t\tif id.Valid {\n 276→\t\t\tstats = append(stats,\n 277→\t\t\t\t&model.JobsStatistics{\n 278→\t\t\t\t\tID: id.String,\n 279→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 280→\t\t\t\t\tTotalUsers: int(users.Int64),\n 281→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 282→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 283→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 284→\t\t\t\t\tTotalCores: int(cores.Int64),\n 285→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 286→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 287→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 288→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 289→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 290→\t\t\t\t})\n 291→\t\t}\n 292→\t}\n 293→\n 294→\tif err := rows.Err(); err != nil {\n 295→\t\treturn nil, err\n 296→\t}\n 297→\n 298→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 299→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 300→\t\tusernames := make([]any, len(stats))\n 301→\t\tfor i, s := range stats {\n 302→\t\t\tusernames[i] = s.ID\n 303→\t\t}\n 304→\n 305→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 306→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 307→\t\tif err != nil {\n 308→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 309→\t\t\t// Non-fatal: stats are still valid without display names\n 310→\t\t} else {\n 311→\t\t\tdefer nameRows.Close()\n 312→\t\t\tnameMap := make(map[string]string, len(stats))\n 313→\t\t\tfor nameRows.Next() {\n 314→\t\t\t\tvar username, name string\n 315→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 316→\t\t\t\t\tnameMap[username] = name\n 317→\t\t\t\t}\n 318→\t\t\t}\n 319→\t\t\tfor _, s := range stats {\n 320→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 321→\t\t\t\t\ts.Name = name\n 322→\t\t\t\t}\n 323→\t\t\t}\n 324→\t\t}\n 325→\t}\n 326→\n 327→\treturn stats, nil\n 328→}\n 329→\n 330→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 331→//\n 332→// This method provides a single aggregate view of job metrics, useful for dashboard\n 333→// summaries and overall system utilization reports.\n 334→//\n 335→// Parameters:\n 336→// - ctx: Context for security checks and cancellation\n 337→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 338→//\n 339→// Returns a single-element slice containing aggregate statistics:\n 340→// - totalJobs, totalUsers, totalWalltime\n 341→// - totalNodeHours, totalCoreHours, totalAccHours\n 342→//\n 343→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 344→// Security checks are applied via SecurityCheck to respect user access levels.\n 345→func (r *JobRepository) JobsStats(\n 346→\tctx context.Context,\n 347→\tfilter []*model.JobFilter,\n 348→\treqFields map[string]bool,\n 349→) ([]*model.JobsStatistics, error) {\n 350→\tstart := time.Now()\n 351→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 352→\tquery, err := SecurityCheck(ctx, query)\n 353→\tif err != nil {\n 354→\t\treturn nil, err\n 355→\t}\n 356→\n 357→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 358→\tstats := make([]*model.JobsStatistics, 0, 1)\n 359→\n 360→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 361→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 362→\t\tcclog.Warn(\"Error while scanning rows\")\n 363→\t\treturn nil, err\n 364→\t}\n 365→\n 366→\tif jobs.Valid {\n 367→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 368→\n 369→\t\tif nodeHours.Valid {\n 370→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 371→\t\t}\n 372→\t\tif coreHours.Valid {\n 373→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 374→\t\t}\n 375→\t\tif accHours.Valid {\n 376→\t\t\ttotalAccHours = int(accHours.Int64)\n 377→\t\t}\n 378→\t\tstats = append(stats,\n 379→\t\t\t&model.JobsStatistics{\n 380→\t\t\t\tTotalJobs: int(jobs.Int64),\n 381→\t\t\t\tTotalUsers: int(users.Int64),\n 382→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 383→\t\t\t\tTotalNodeHours: totalNodeHours,\n 384→\t\t\t\tTotalCoreHours: totalCoreHours,\n 385→\t\t\t\tTotalAccHours: totalAccHours,\n 386→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 387→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 388→\t\t\t})\n 389→\t}\n 390→\n 391→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 392→\treturn stats, nil\n 393→}\n 394→\n 395→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 396→// Returns 0.0 if the metric is not found or statType is invalid.\n 397→//\n 398→// Parameters:\n 399→// - job: Job struct with populated Statistics field\n 400→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 401→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 402→//\n 403→// Returns the requested statistic value or 0.0 if not found.\n 404→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 405→\tif stats, ok := job.Statistics[metric]; ok {\n 406→\t\tswitch statType {\n 407→\t\tcase \"avg\":\n 408→\t\t\treturn stats.Avg\n 409→\t\tcase \"max\":\n 410→\t\t\treturn stats.Max\n 411→\t\tcase \"min\":\n 412→\t\t\treturn stats.Min\n 413→\t\tdefault:\n 414→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 415→\t\t}\n 416→\t}\n 417→\n 418→\treturn 0.0\n 419→}\n 420→\n 421→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 422→//\n 423→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 424→// avoiding the overhead of calculating walltime and resource usage metrics.\n 425→//\n 426→// Parameters:\n 427→// - ctx: Context for security checks\n 428→// - filter: Filters to apply\n 429→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 430→//\n 431→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 432→func (r *JobRepository) JobCountGrouped(\n 433→\tctx context.Context,\n 434→\tfilter []*model.JobFilter,\n 435→\tgroupBy *model.Aggregate,\n 436→) ([]*model.JobsStatistics, error) {\n 437→\tstart := time.Now()\n 438→\tcol := groupBy2column[*groupBy]\n 439→\tquery := r.buildCountQuery(filter, \"\", col)\n 440→\tquery, err := SecurityCheck(ctx, query)\n 441→\tif err != nil {\n 442→\t\treturn nil, err\n 443→\t}\n 444→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 445→\tif err != nil {\n 446→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 447→\t\treturn nil, err\n 448→\t}\n 449→\tdefer rows.Close()\n 450→\n 451→\tstats := make([]*model.JobsStatistics, 0, 100)\n 452→\n 453→\tfor rows.Next() {\n 454→\t\tvar id sql.NullString\n 455→\t\tvar cnt sql.NullInt64\n 456→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 457→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 458→\t\t\treturn nil, err\n 459→\t\t}\n 460→\t\tif id.Valid {\n 461→\t\t\tstats = append(stats,\n 462→\t\t\t\t&model.JobsStatistics{\n 463→\t\t\t\t\tID: id.String,\n 464→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 465→\t\t\t\t})\n 466→\t\t}\n 467→\t}\n 468→\n 469→\tif err := rows.Err(); err != nil {\n 470→\t\treturn nil, err\n 471→\t}\n 472→\n 473→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 474→\treturn stats, nil\n 475→}\n 476→\n 477→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 478→//\n 479→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 480→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 481→//\n 482→// Parameters:\n 483→// - ctx: Context for security checks\n 484→// - filter: Filters to apply\n 485→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 486→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 487→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 488→//\n 489→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 490→// Groups without matching jobs will have 0 for the added field.\n 491→func (r *JobRepository) AddJobCountGrouped(\n 492→\tctx context.Context,\n 493→\tfilter []*model.JobFilter,\n 494→\tgroupBy *model.Aggregate,\n 495→\tstats []*model.JobsStatistics,\n 496→\tkind string,\n 497→) ([]*model.JobsStatistics, error) {\n 498→\tstart := time.Now()\n 499→\tcol := groupBy2column[*groupBy]\n 500→\tquery := r.buildCountQuery(filter, kind, col)\n 501→\tquery, err := SecurityCheck(ctx, query)\n 502→\tif err != nil {\n 503→\t\treturn nil, err\n 504→\t}\n 505→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 506→\tif err != nil {\n 507→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 508→\t\treturn nil, err\n 509→\t}\n 510→\tdefer rows.Close()\n 511→\n 512→\tcounts := make(map[string]int)\n 513→\n 514→\tfor rows.Next() {\n 515→\t\tvar id sql.NullString\n 516→\t\tvar cnt sql.NullInt64\n 517→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 518→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 519→\t\t\treturn nil, err\n 520→\t\t}\n 521→\t\tif id.Valid {\n 522→\t\t\tcounts[id.String] = int(cnt.Int64)\n 523→\t\t}\n 524→\t}\n 525→\n 526→\tif err := rows.Err(); err != nil {\n 527→\t\treturn nil, err\n 528→\t}\n 529→\n 530→\tswitch kind {\n 531→\tcase \"running\":\n 532→\t\tfor _, s := range stats {\n 533→\t\t\ts.RunningJobs = counts[s.ID]\n 534→\t\t}\n 535→\tcase \"short\":\n 536→\t\tfor _, s := range stats {\n 537→\t\t\ts.ShortJobs = counts[s.ID]\n 538→\t\t}\n 539→\t}\n 540→\n 541→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 542→\treturn stats, nil\n 543→}\n 544→\n 545→// AddJobCount augments existing overall statistics with additional job counts by category.\n 546→//\n 547→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 548→// to all statistics entries (typically just one).\n 549→//\n 550→// Parameters:\n 551→// - ctx: Context for security checks\n 552→// - filter: Filters to apply\n 553→// - stats: Existing statistics to augment (modified in-place)\n 554→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 555→//\n 556→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 557→func (r *JobRepository) AddJobCount(\n 558→\tctx context.Context,\n 559→\tfilter []*model.JobFilter,\n 560→\tstats []*model.JobsStatistics,\n 561→\tkind string,\n 562→) ([]*model.JobsStatistics, error) {\n 563→\tstart := time.Now()\n 564→\tquery := r.buildCountQuery(filter, kind, \"\")\n 565→\tquery, err := SecurityCheck(ctx, query)\n 566→\tif err != nil {\n 567→\t\treturn nil, err\n 568→\t}\n 569→\tvar cnt sql.NullInt64\n 570→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 571→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 572→\t\treturn nil, err\n 573→\t}\n 574→\n 575→\tcount := int(cnt.Int64)\n 576→\n 577→\tswitch kind {\n 578→\tcase \"running\":\n 579→\t\tfor _, s := range stats {\n 580→\t\t\ts.RunningJobs = count\n 581→\t\t}\n 582→\tcase \"short\":\n 583→\t\tfor _, s := range stats {\n 584→\t\t\ts.ShortJobs = count\n 585→\t\t}\n 586→\t}\n 587→\n 588→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 589→\treturn stats, nil\n 590→}\n 591→\n 592→// AddHistograms augments statistics with distribution histograms for job properties.\n 593→//\n 594→// Generates histogram data for visualization of job duration, node count, core count,\n 595→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 596→// on the requested resolution.\n 597→//\n 598→// Parameters:\n 599→// - ctx: Context for security checks\n 600→// - filter: Filters to apply to jobs included in histograms\n 601→// - stat: Statistics struct to augment (modified in-place)\n 602→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 603→//\n 604→// Populates these fields in stat:\n 605→// - HistDuration: Job duration distribution (zero-padded bins)\n 606→// - HistNumNodes: Node count distribution\n 607→// - HistNumCores: Core (hwthread) count distribution\n 608→// - HistNumAccs: Accelerator count distribution\n 609→//\n 610→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 611→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 612→func (r *JobRepository) AddHistograms(\n 613→\tctx context.Context,\n 614→\tfilter []*model.JobFilter,\n 615→\tstat *model.JobsStatistics,\n 616→\tdurationBins *string,\n 617→) (*model.JobsStatistics, error) {\n 618→\tstart := time.Now()\n 619→\n 620→\tvar targetBinCount int\n 621→\tvar targetBinSize int\n 622→\tswitch *durationBins {\n 623→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 624→\t\ttargetBinCount = 60\n 625→\t\ttargetBinSize = 60\n 626→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 627→\t\ttargetBinCount = 72\n 628→\t\ttargetBinSize = 600\n 629→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 630→\t\ttargetBinCount = 48\n 631→\t\ttargetBinSize = 3600\n 632→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 633→\t\ttargetBinCount = 12\n 634→\t\ttargetBinSize = 21600\n 635→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 636→\t\ttargetBinCount = 14\n 637→\t\ttargetBinSize = 43200\n 638→\tdefault: // 24h\n 639→\t\ttargetBinCount = 24\n 640→\t\ttargetBinSize = 3600\n 641→\t}\n 642→\n 643→\tvar err error\n 644→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 645→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 646→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 647→\tif err != nil {\n 648→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 649→\t\treturn nil, err\n 650→\t}\n 651→\n 652→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 653→\tif err != nil {\n 654→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 655→\t\treturn nil, err\n 656→\t}\n 657→\n 658→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 659→\tif err != nil {\n 660→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 661→\t\treturn nil, err\n 662→\t}\n 663→\n 664→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 665→\tif err != nil {\n 666→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 667→\t\treturn nil, err\n 668→\t}\n 669→\n 670→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 671→\treturn stat, nil\n 672→}\n 673→\n 674→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 675→//\n 676→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 677→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 678→// use footprint data from database.\n 679→//\n 680→// Parameters:\n 681→// - ctx: Context for security checks\n 682→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 683→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 684→// - stat: Statistics struct to augment (modified in-place)\n 685→// - targetBinCount: Number of histogram bins (default: 10)\n 686→//\n 687→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 688→//\n 689→// Binning algorithm:\n 690→// - Values normalized to metric's peak value from cluster configuration\n 691→// - Bins evenly distributed from 0 to peak\n 692→// - Pre-initialized with zeros for consistent visualization\n 693→//\n 694→// Limitations:\n 695→// - Running jobs: Limited to 5000 jobs for performance\n 696→// - Requires valid cluster configuration with metric peak values\n 697→// - Uses footprint statistic (avg/max/min) configured per metric\n 698→func (r *JobRepository) AddMetricHistograms(\n 699→\tctx context.Context,\n 700→\tfilter []*model.JobFilter,\n 701→\tmetrics []string,\n 702→\tstat *model.JobsStatistics,\n 703→\ttargetBinCount *int,\n 704→) (*model.JobsStatistics, error) {\n 705→\tstart := time.Now()\n 706→\n 707→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 708→\tfor _, f := range filter {\n 709→\t\tif f.State != nil {\n 710→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 711→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 712→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 713→\t\t\t\treturn stat, nil\n 714→\t\t\t}\n 715→\t\t}\n 716→\t}\n 717→\n 718→\t// All other cases: Query and make bins in sqlite directly\n 719→\tfor _, m := range metrics {\n 720→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 721→\t\tif err != nil {\n 722→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 723→\t\t\tcontinue\n 724→\t\t}\n 725→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 726→\t}\n 727→\n 728→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\treturn stat, nil\n 730→}\n 731→\n 732→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 733→//\n 734→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 735→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 736→//\n 737→// Parameters:\n 738→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 739→// - filters: Job filters to apply\n 740→//\n 741→// Returns histogram points with Value (from column) and Count (number of jobs).\n 742→func (r *JobRepository) jobsStatisticsHistogram(\n 743→\tctx context.Context,\n 744→\tvalue string,\n 745→\tfilters []*model.JobFilter,\n 746→) ([]*model.HistoPoint, error) {\n 747→\tstart := time.Now()\n 748→\tquery, qerr := SecurityCheck(ctx,\n 749→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 750→\n 751→\tif qerr != nil {\n 752→\t\treturn nil, qerr\n 753→\t}\n 754→\n 755→\tfor _, f := range filters {\n 756→\t\tquery = BuildWhereClause(f, query)\n 757→\t}\n 758→\n 759→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 760→\tif err != nil {\n 761→\t\tcclog.Error(\"Error while running query\")\n 762→\t\treturn nil, err\n 763→\t}\n 764→\tdefer rows.Close()\n 765→\n 766→\tpoints := make([]*model.HistoPoint, 0)\n 767→\t// is it possible to introduce zero values here? requires info about bincount\n 768→\tfor rows.Next() {\n 769→\t\tpoint := model.HistoPoint{}\n 770→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 771→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 772→\t\t\treturn nil, err\n 773→\t\t}\n 774→\n 775→\t\tpoints = append(points, &point)\n 776→\t}\n 777→\n 778→\tif err := rows.Err(); err != nil {\n 779→\t\treturn nil, err\n 780→\t}\n 781→\n 782→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 783→\treturn points, nil\n 784→}\n 785→\n 786→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 787→//\n 788→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 789→// histograms which only return bins with data. The value parameter should compute\n 790→// the bin number from job duration.\n 791→//\n 792→// Parameters:\n 793→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 794→// - filters: Job filters to apply\n 795→// - binSizeSeconds: Width of each bin in seconds\n 796→// - targetBinCount: Number of bins to pre-initialize\n 797→//\n 798→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 799→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 800→//\n 801→// Algorithm:\n 802→// 1. Pre-initialize targetBinCount bins with zero counts\n 803→// 2. Query database for actual counts per bin\n 804→// 3. Match query results to pre-initialized bins by value\n 805→// 4. Bins without matches remain at zero\n 806→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 807→\tctx context.Context,\n 808→\tvalue string,\n 809→\tfilters []*model.JobFilter,\n 810→\tbinSizeSeconds int,\n 811→\ttargetBinCount *int,\n 812→) ([]*model.HistoPoint, error) {\n 813→\tstart := time.Now()\n 814→\tquery, qerr := SecurityCheck(ctx,\n 815→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 816→\n 817→\tif qerr != nil {\n 818→\t\treturn nil, qerr\n 819→\t}\n 820→\n 821→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 822→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 823→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 824→\tfor i := 1; i <= *targetBinCount; i++ {\n 825→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 826→\t\tpoints = append(points, &point)\n 827→\t}\n 828→\n 829→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 830→\tbinMap := make(map[int]int, len(points))\n 831→\tfor i, p := range points {\n 832→\t\tbinMap[p.Value] = i\n 833→\t}\n 834→\n 835→\tfor _, f := range filters {\n 836→\t\tquery = BuildWhereClause(f, query)\n 837→\t}\n 838→\n 839→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 840→\tif err != nil {\n 841→\t\tcclog.Error(\"Error while running query\")\n 842→\t\treturn nil, err\n 843→\t}\n 844→\tdefer rows.Close()\n 845→\n 846→\t// Match query results to pre-initialized bins using map lookup.\n 847→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 848→\tfor rows.Next() {\n 849→\t\tpoint := model.HistoPoint{}\n 850→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 851→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 852→\t\t\treturn nil, err\n 853→\t\t}\n 854→\n 855→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 856→\t\t\tpoints[idx].Count = point.Count\n 857→\t\t}\n 858→\t}\n 859→\n 860→\tif err := rows.Err(); err != nil {\n 861→\t\treturn nil, err\n 862→\t}\n 863→\n 864→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 865→\treturn points, nil\n 866→}\n 867→\n 868→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 869→//\n 870→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 871→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 872→// and computing bin assignments in SQL.\n 873→//\n 874→// Parameters:\n 875→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 876→// - filters: Job filters to apply\n 877→// - bins: Number of bins to generate\n 878→//\n 879→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 880→//\n 881→// Algorithm:\n 882→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 883→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 884→// 3. Pre-initialize bins with min/max ranges based on peak value\n 885→// 4. Query database for counts per bin\n 886→// 5. Match results to pre-initialized bins\n 887→//\n 888→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 889→// peak by 0.999999999 to avoid creating an extra bin.\n 890→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 891→\tctx context.Context,\n 892→\tmetric string,\n 893→\tfilters []*model.JobFilter,\n 894→\tbins *int,\n 895→) (*model.MetricHistoPoints, error) {\n 896→\t// Peak value defines the upper bound for binning: values are distributed across\n 897→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 898→\t// scan all clusters to find the maximum peak value.\n 899→\tvar metricConfig *schema.MetricConfig\n 900→\tvar peak float64\n 901→\tvar unit string\n 902→\tvar footprintStat string\n 903→\n 904→\t// Try to get metric config from filtered cluster\n 905→\tfor _, f := range filters {\n 906→\t\tif f.Cluster != nil {\n 907→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 908→\t\t\tpeak = metricConfig.Peak\n 909→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 910→\t\t\tfootprintStat = metricConfig.Footprint\n 911→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 912→\t\t}\n 913→\t}\n 914→\n 915→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 916→\t// This ensures histogram can accommodate all possible values\n 917→\tif peak == 0.0 {\n 918→\t\tfor _, c := range archive.Clusters {\n 919→\t\t\tfor _, m := range c.MetricConfig {\n 920→\t\t\t\tif m.Name == metric {\n 921→\t\t\t\t\tif m.Peak > peak {\n 922→\t\t\t\t\t\tpeak = m.Peak\n 923→\t\t\t\t\t}\n 924→\t\t\t\t\tif unit == \"\" {\n 925→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 926→\t\t\t\t\t}\n 927→\t\t\t\t\tif footprintStat == \"\" {\n 928→\t\t\t\t\t\tfootprintStat = m.Footprint\n 929→\t\t\t\t\t}\n 930→\t\t\t\t}\n 931→\t\t\t}\n 932→\t\t}\n 933→\t}\n 934→\n 935→\t// Construct SQL histogram bins using normalized values.\n 936→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 937→\tstart := time.Now()\n 938→\n 939→\t// Bin calculation formula:\n 940→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 941→\t// Special case: value == peak would create bin N+1, so we test for equality\n 942→\t// and multiply peak by 0.999999999 to force it into bin N.\n 943→\tbinQuery := fmt.Sprintf(`CAST(\n 944→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 945→\t\t* %v as INTEGER )`,\n 946→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 947→\n 948→\tmainQuery := sq.Select(\n 949→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 950→\t\t`count(*) as count`,\n 951→\t).From(\"job\").Where(\n 952→\t\t\"JSON_VALID(footprint)\",\n 953→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 954→\n 955→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 956→\tif qerr != nil {\n 957→\t\treturn nil, qerr\n 958→\t}\n 959→\n 960→\tfor _, f := range filters {\n 961→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 962→\t}\n 963→\n 964→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 965→\n 966→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 967→\tif err != nil {\n 968→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 969→\t\treturn nil, err\n 970→\t}\n 971→\tdefer rows.Close()\n 972→\n 973→\t// Pre-initialize bins with calculated min/max ranges.\n 974→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 975→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 976→\tbinStep := int(peak) / *bins\n 977→\tfor i := 1; i <= *bins; i++ {\n 978→\t\tbinMin := (binStep * (i - 1))\n 979→\t\tbinMax := (binStep * i)\n 980→\t\tidx := i\n 981→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 982→\t\tpoints = append(points, &epoint)\n 983→\t}\n 984→\n 985→\t// Build a map from bin number to slice index for O(1) lookup.\n 986→\tbinMap := make(map[int]int, len(points))\n 987→\tfor i, p := range points {\n 988→\t\tif p.Bin != nil {\n 989→\t\t\tbinMap[*p.Bin] = i\n 990→\t\t}\n 991→\t}\n 992→\n 993→\t// Match query results to pre-initialized bins using map lookup.\n 994→\tfor rows.Next() {\n 995→\t\trpoint := model.MetricHistoPoint{}\n 996→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 997→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 998→\t\t\treturn nil, err\n 999→\t\t}\n 1000→\n 1001→\t\tif rpoint.Bin != nil {\n 1002→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1003→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1004→\t\t\t}\n 1005→\t\t}\n 1006→\t}\n 1007→\n 1008→\tif err := rows.Err(); err != nil {\n 1009→\t\treturn nil, err\n 1010→\t}\n 1011→\n 1012→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1013→\n 1014→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1015→\treturn &result, nil\n 1016→}\n 1017→\n 1018→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1019→//\n 1020→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1021→// fetching current metric averages from the metric backend (via metricdispatch).\n 1022→//\n 1023→// Parameters:\n 1024→// - metrics: List of metric names\n 1025→// - filters: Job filters (should filter to running jobs only)\n 1026→// - bins: Number of histogram bins\n 1027→//\n 1028→// Returns slice of MetricHistoPoints, one per metric.\n 1029→//\n 1030→// Limitations:\n 1031→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1032→// - Requires metric backend availability\n 1033→// - Bins based on metric peak values from cluster configuration\n 1034→//\n 1035→// Algorithm:\n 1036→// 1. Query first 5001 jobs to check count limit\n 1037→// 2. Load metric averages for all jobs via metricdispatch\n 1038→// 3. For each metric, create bins based on peak value\n 1039→// 4. Iterate averages and count jobs per bin\n 1040→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1041→\tctx context.Context,\n 1042→\tmetrics []string,\n 1043→\tfilters []*model.JobFilter,\n 1044→\tbins *int,\n 1045→) []*model.MetricHistoPoints {\n 1046→\t// Get Jobs\n 1047→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1048→\tif err != nil {\n 1049→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1050→\t\treturn nil\n 1051→\t}\n 1052→\tif len(jobs) > 5000 {\n 1053→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1054→\t\treturn nil\n 1055→\t}\n 1056→\n 1057→\t// Get AVGs from metric repo\n 1058→\tavgs := make([][]schema.Float, len(metrics))\n 1059→\tfor i := range avgs {\n 1060→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1061→\t}\n 1062→\n 1063→\tfor _, job := range jobs {\n 1064→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1065→\t\t\tcontinue\n 1066→\t\t}\n 1067→\n 1068→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1069→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1070→\t\t\treturn nil\n 1071→\t\t}\n 1072→\t}\n 1073→\n 1074→\t// Iterate metrics to fill endresult\n 1075→\tdata := make([]*model.MetricHistoPoints, 0)\n 1076→\tfor idx, metric := range metrics {\n 1077→\t\t// Get specific Peak or largest Peak\n 1078→\t\tvar metricConfig *schema.MetricConfig\n 1079→\t\tvar peak float64\n 1080→\t\tvar unit string\n 1081→\n 1082→\t\tfor _, f := range filters {\n 1083→\t\t\tif f.Cluster != nil {\n 1084→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1085→\t\t\t\tpeak = metricConfig.Peak\n 1086→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1087→\t\t\t}\n 1088→\t\t}\n 1089→\n 1090→\t\tif peak == 0.0 {\n 1091→\t\t\tfor _, c := range archive.Clusters {\n 1092→\t\t\t\tfor _, m := range c.MetricConfig {\n 1093→\t\t\t\t\tif m.Name == metric {\n 1094→\t\t\t\t\t\tif m.Peak > peak {\n 1095→\t\t\t\t\t\t\tpeak = m.Peak\n 1096→\t\t\t\t\t\t}\n 1097→\t\t\t\t\t\tif unit == \"\" {\n 1098→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1099→\t\t\t\t\t\t}\n 1100→\t\t\t\t\t}\n 1101→\t\t\t\t}\n 1102→\t\t\t}\n 1103→\t\t}\n 1104→\n 1105→\t\t// Make and fill bins\n 1106→\t\tpeakBin := int(peak) / *bins\n 1107→\n 1108→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1109→\t\tfor b := 0; b < *bins; b++ {\n 1110→\t\t\tcount := 0\n 1111→\t\t\tbindex := b + 1\n 1112→\t\t\tbmin := peakBin * b\n 1113→\t\t\tbmax := peakBin * (b + 1)\n 1114→\n 1115→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1116→\t\t\tfor _, val := range avgs[idx] {\n 1117→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1118→\t\t\t\t\tcount += 1\n 1119→\t\t\t\t}\n 1120→\t\t\t}\n 1121→\n 1122→\t\t\t// Append Bin to Metric Result Array\n 1123→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1124→\t\t\tpoints = append(points, &point)\n 1125→\t\t}\n 1126→\n 1127→\t\t// Append Metric Result Array to final results array\n 1128→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1129→\t\tdata = append(data, &result)\n 1130→\t}\n 1131→\n 1132→\treturn data\n 1133→}\n 1134→"}]},"uuid":"8e648dca-247d-4294-b32e-57b625e2752a","timestamp":"2026-03-13T13:24:04.576Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn 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generating and any unknown code will be moved to the end.\n 6→// Code generated by github.com/99designs/gqlgen version v0.17.87\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"errors\"\n 11→\t\"fmt\"\n 12→\t\"math\"\n 13→\t\"regexp\"\n 14→\t\"slices\"\n 15→\t\"strconv\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 21→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 25→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 26→\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→)\n 29→\n 30→// Partitions is the resolver for the partitions field.\n 31→func (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n 32→\treturn r.Repo.Partitions(obj.Name)\n 33→}\n 34→\n 35→// StartTime is the resolver for the startTime field.\n 36→func (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n 37→\ttimestamp := time.Unix(obj.StartTime, 0)\n 38→\treturn ×tamp, nil\n 39→}\n 40→\n 41→// Tags is the resolver for the tags field.\n 42→func (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n 43→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n 44→}\n 45→\n 46→// ConcurrentJobs is the resolver for the concurrentJobs field.\n 47→func (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n 48→\t// FIXME: Make the hardcoded duration configurable\n 49→\tif obj.Shared != \"none\" && obj.Duration > 600 {\n 50→\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n 51→\t}\n 52→\n 53→\treturn nil, nil\n 54→}\n 55→\n 56→// Footprint is the resolver for the footprint field.\n 57→func (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n 58→\trawFootprint, err := r.Repo.FetchFootprint(obj)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while fetching job footprint data\")\n 61→\t\treturn nil, err\n 62→\t}\n 63→\n 64→\tres := []*model.FootprintValue{}\n 65→\tfor name, value := range rawFootprint {\n 66→\n 67→\t\tparts := strings.Split(name, \"_\")\n 68→\t\tstatPart := parts[len(parts)-1]\n 69→\t\tnameParts := parts[:len(parts)-1]\n 70→\n 71→\t\tres = append(res, &model.FootprintValue{\n 72→\t\t\tName: strings.Join(nameParts, \"_\"),\n 73→\t\t\tStat: statPart,\n 74→\t\t\tValue: value,\n 75→\t\t})\n 76→\t}\n 77→\n 78→\treturn res, err\n 79→}\n 80→\n 81→// EnergyFootprint is the resolver for the energyFootprint field.\n 82→func (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n 83→\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n 84→\tif err != nil {\n 85→\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n 86→\t\treturn nil, err\n 87→\t}\n 88→\n 89→\tres := []*model.EnergyFootprintValue{}\n 90→\tfor name, value := range rawEnergyFootprint {\n 91→\t\t// Suboptimal: Nearly hardcoded metric name expectations\n 92→\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n 93→\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n 94→\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n 95→\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n 96→\n 97→\t\thwType := \"\"\n 98→\t\tswitch test := name; { // NOtice ';' for var declaration\n 99→\t\tcase matchCPU.MatchString(test):\n 100→\t\t\thwType = \"CPU\"\n 101→\t\tcase matchAcc.MatchString(test):\n 102→\t\t\thwType = \"Accelerator\"\n 103→\t\tcase matchMem.MatchString(test):\n 104→\t\t\thwType = \"Memory\"\n 105→\t\tcase matchCore.MatchString(test):\n 106→\t\t\thwType = \"Core\"\n 107→\t\tdefault:\n 108→\t\t\thwType = \"Other\"\n 109→\t\t}\n 110→\n 111→\t\tres = append(res, &model.EnergyFootprintValue{\n 112→\t\t\tHardware: hwType,\n 113→\t\t\tMetric: name,\n 114→\t\t\tValue: value,\n 115→\t\t})\n 116→\t}\n 117→\treturn res, err\n 118→}\n 119→\n 120→// MetaData is the resolver for the metaData field.\n 121→func (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n 122→\treturn r.Repo.FetchMetadata(obj)\n 123→}\n 124→\n 125→// UserData is the resolver for the userData field.\n 126→func (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n 127→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n 128→}\n 129→\n 130→// Name is the resolver for the name field.\n 131→func (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n 132→\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n 133→}\n 134→\n 135→// CreateTag is the resolver for the createTag field.\n 136→func (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n 137→\tuser := repository.GetUserFromContext(ctx)\n 138→\tif user == nil {\n 139→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 140→\t}\n 141→\n 142→\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 143→\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n 144→\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n 145→\t\tuser.Username == scope {\n 146→\t\t// Create in DB\n 147→\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n 148→\t\tif err != nil {\n 149→\t\t\tcclog.Warn(\"Error while creating tag\")\n 150→\t\t\treturn nil, err\n 151→\t\t}\n 152→\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n 153→\t} else {\n 154→\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n 155→\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n 156→\t}\n 157→}\n 158→\n 159→// DeleteTag is the resolver for the deleteTag field.\n 160→func (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n 161→\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n 162→\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n 163→}\n 164→\n 165→// AddTagsToJob is the resolver for the addTagsToJob field.\n 166→func (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 167→\tuser := repository.GetUserFromContext(ctx)\n 168→\tif user == nil {\n 169→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 170→\t}\n 171→\n 172→\tjid, err := strconv.ParseInt(job, 10, 64)\n 173→\tif err != nil {\n 174→\t\tcclog.Warn(\"Error while adding tag to job\")\n 175→\t\treturn nil, err\n 176→\t}\n 177→\n 178→\ttags := []*schema.Tag{}\n 179→\tfor _, tagID := range tagIds {\n 180→\t\t// Get ID\n 181→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 182→\t\tif err != nil {\n 183→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 184→\t\t\treturn nil, err\n 185→\t\t}\n 186→\n 187→\t\t// Test Exists\n 188→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 189→\t\tif !exists {\n 190→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 191→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 192→\t\t}\n 193→\n 194→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 195→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 196→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 197→\t\t\tuser.Username == tscope {\n 198→\t\t\t// Add to Job\n 199→\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n 200→\t\t\t\tcclog.Warn(\"Error while adding tag\")\n 201→\t\t\t\treturn nil, err\n 202→\t\t\t}\n 203→\t\t} else {\n 204→\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n 205→\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n 206→\t\t}\n 207→\t}\n 208→\n 209→\treturn tags, nil\n 210→}\n 211→\n 212→// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\n 213→func (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n 214→\tuser := repository.GetUserFromContext(ctx)\n 215→\tif user == nil {\n 216→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 217→\t}\n 218→\n 219→\tjid, err := strconv.ParseInt(job, 10, 64)\n 220→\tif err != nil {\n 221→\t\tcclog.Warn(\"Error while parsing job id\")\n 222→\t\treturn nil, err\n 223→\t}\n 224→\n 225→\ttags := []*schema.Tag{}\n 226→\tfor _, tagID := range tagIds {\n 227→\t\t// Get ID\n 228→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 229→\t\tif err != nil {\n 230→\t\t\tcclog.Warn(\"Error while parsing tag id\")\n 231→\t\t\treturn nil, err\n 232→\t\t}\n 233→\n 234→\t\t// Test Exists\n 235→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 236→\t\tif !exists {\n 237→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 238→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 239→\t\t}\n 240→\n 241→\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n 242→\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n 243→\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n 244→\t\t\tuser.Username == tscope {\n 245→\t\t\t// Remove from Job\n 246→\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n 247→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 248→\t\t\t\treturn nil, err\n 249→\t\t\t}\n 250→\t\t} else {\n 251→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 252→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 253→\t\t}\n 254→\n 255→\t}\n 256→\n 257→\treturn tags, nil\n 258→}\n 259→\n 260→// RemoveTagFromList is the resolver for the removeTagFromList field.\n 261→func (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n 262→\t// Needs Contextuser\n 263→\tuser := repository.GetUserFromContext(ctx)\n 264→\tif user == nil {\n 265→\t\treturn nil, fmt.Errorf(\"no user in context\")\n 266→\t}\n 267→\n 268→\ttags := []int{}\n 269→\tfor _, tagID := range tagIds {\n 270→\t\t// Get ID\n 271→\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n 272→\t\tif err != nil {\n 273→\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n 274→\t\t\treturn nil, err\n 275→\t\t}\n 276→\n 277→\t\t// Test Exists\n 278→\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n 279→\t\tif !exists {\n 280→\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n 281→\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n 282→\t\t}\n 283→\n 284→\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n 285→\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n 286→\t\t\t// Remove from DB\n 287→\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n 288→\t\t\t\tcclog.Warn(\"Error while removing tag\")\n 289→\t\t\t\treturn nil, err\n 290→\t\t\t} else {\n 291→\t\t\t\ttags = append(tags, int(tid))\n 292→\t\t\t}\n 293→\t\t} else {\n 294→\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n 295→\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n 296→\t\t}\n 297→\t}\n 298→\treturn tags, nil\n 299→}\n 300→\n 301→// UpdateConfiguration is the resolver for the updateConfiguration field.\n 302→func (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n 303→\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n 304→\t\tcclog.Warn(\"Error while updating user config\")\n 305→\t\treturn nil, err\n 306→\t}\n 307→\n 308→\treturn nil, nil\n 309→}\n 310→\n 311→// ID is the resolver for the id field.\n 312→func (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n 313→\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n 314→}\n 315→\n 316→// SchedulerState is the resolver for the schedulerState field.\n 317→func (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n 318→\tif obj.NodeState != \"\" {\n 319→\t\treturn obj.NodeState, nil\n 320→\t} else {\n 321→\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n 322→\t}\n 323→}\n 324→\n 325→// HealthState is the resolver for the healthState field.\n 326→func (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n 327→\tif obj.HealthState != \"\" {\n 328→\t\treturn string(obj.HealthState), nil\n 329→\t} else {\n 330→\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n 331→\t}\n 332→}\n 333→\n 334→// MetaData is the resolver for the metaData field.\n 335→func (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n 336→\tif obj.MetaData != nil {\n 337→\t\treturn obj.MetaData, nil\n 338→\t} else {\n 339→\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n 340→\t\temptyMeta := make(map[string]string, 0)\n 341→\t\treturn emptyMeta, nil\n 342→\t}\n 343→}\n 344→\n 345→// HealthData is the resolver for the healthData field.\n 346→func (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n 347→\tif obj.HealthData != nil {\n 348→\t\treturn obj.HealthData, nil\n 349→\t} else {\n 350→\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n 351→\t\temptyHealth := make(map[string][]string, 0)\n 352→\t\treturn emptyHealth, nil\n 353→\t}\n 354→}\n 355→\n 356→// Clusters is the resolver for the clusters field.\n 357→func (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n 358→\treturn archive.Clusters, nil\n 359→}\n 360→\n 361→// Tags is the resolver for the tags field.\n 362→func (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n 363→\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n 364→}\n 365→\n 366→// GlobalMetrics is the resolver for the globalMetrics field.\n 367→func (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n 368→\tuser := repository.GetUserFromContext(ctx)\n 369→\n 370→\tif user != nil {\n 371→\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n 372→\t\t\treturn archive.GlobalUserMetricList, nil\n 373→\t\t}\n 374→\t}\n 375→\n 376→\treturn archive.GlobalMetricList, nil\n 377→}\n 378→\n 379→// User is the resolver for the user field.\n 380→func (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n 381→\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n 382→}\n 383→\n 384→// AllocatedNodes is the resolver for the allocatedNodes field.\n 385→func (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n 386→\tdata, err := r.Repo.AllocatedNodes(cluster)\n 387→\tif err != nil {\n 388→\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n 389→\t\treturn nil, err\n 390→\t}\n 391→\n 392→\tcounts := make([]*model.Count, 0, len(data))\n 393→\tfor subcluster, hosts := range data {\n 394→\t\tcounts = append(counts, &model.Count{\n 395→\t\t\tName: subcluster,\n 396→\t\t\tCount: len(hosts),\n 397→\t\t})\n 398→\t}\n 399→\n 400→\treturn counts, nil\n 401→}\n 402→\n 403→// Node is the resolver for the node field.\n 404→func (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n 405→\trepo := repository.GetNodeRepository()\n 406→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n 407→\tif err != nil {\n 408→\t\tcclog.Warn(\"Error while parsing job id\")\n 409→\t\treturn nil, err\n 410→\t}\n 411→\treturn repo.GetNodeByID(numericID, false)\n 412→}\n 413→\n 414→// Nodes is the resolver for the nodes field.\n 415→func (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n 416→\trepo := repository.GetNodeRepository()\n 417→\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n 418→\tcount := len(nodes)\n 419→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n 420→}\n 421→\n 422→// NodesWithMeta is the resolver for the nodesWithMeta field.\n 423→func (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n 424→\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n 425→\trepo := repository.GetNodeRepository()\n 426→\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n 427→\tcount := len(nodes)\n 428→\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n 429→}\n 430→\n 431→// NodeStates is the resolver for the nodeStates field.\n 432→func (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n 433→\trepo := repository.GetNodeRepository()\n 434→\n 435→\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n 436→\tif serr != nil {\n 437→\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n 438→\t\treturn nil, serr\n 439→\t}\n 440→\n 441→\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n 442→\tif herr != nil {\n 443→\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n 444→\t\treturn nil, herr\n 445→\t}\n 446→\n 447→\tallCounts := append(stateCounts, healthCounts...)\n 448→\n 449→\treturn allCounts, nil\n 450→}\n 451→\n 452→// NodeStatesTimed is the resolver for the nodeStatesTimed field.\n 453→func (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n 454→\trepo := repository.GetNodeRepository()\n 455→\n 456→\tif typeArg == \"node\" {\n 457→\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n 458→\t\tif serr != nil {\n 459→\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n 460→\t\t\treturn nil, serr\n 461→\t\t}\n 462→\t\treturn stateCounts, nil\n 463→\t}\n 464→\n 465→\tif typeArg == \"health\" {\n 466→\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n 467→\t\tif herr != nil {\n 468→\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n 469→\t\t\treturn nil, herr\n 470→\t\t}\n 471→\t\treturn healthCounts, nil\n 472→\t}\n 473→\n 474→\treturn nil, errors.New(\"unknown Node State Query Type\")\n 475→}\n 476→\n 477→// Job is the resolver for the job field.\n 478→func (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n 479→\tnumericID, err := strconv.ParseInt(id, 10, 64)\n 480→\tif err != nil {\n 481→\t\tcclog.Warn(\"Error while parsing job id\")\n 482→\t\treturn nil, err\n 483→\t}\n 484→\n 485→\tjob, err := r.Repo.FindByID(ctx, numericID)\n 486→\tif err != nil {\n 487→\t\tcclog.Warn(\"Error while finding job by id\")\n 488→\t\treturn nil, err\n 489→\t}\n 490→\n 491→\tif user := repository.GetUserFromContext(ctx); user != nil &&\n 492→\t\tjob.User != user.Username &&\n 493→\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n 494→\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n 495→\t}\n 496→\n 497→\treturn job, nil\n 498→}\n 499→\n 500→// JobMetrics is the resolver for the jobMetrics field.\n 501→func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n 502→\tif resolution == nil { // Load from Config\n 503→\t\tif config.Keys.EnableResampling != nil {\n 504→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 505→\t\t\tresolution = &defaultRes\n 506→\t\t} else { // Set 0 (Loads configured metric timestep)\n 507→\t\t\tdefaultRes := 0\n 508→\t\t\tresolution = &defaultRes\n 509→\t\t}\n 510→\t}\n 511→\n 512→\tjob, err := r.Query().Job(ctx, id)\n 513→\tif err != nil {\n 514→\t\tcclog.Warn(\"Error while querying job for metrics\")\n 515→\t\treturn nil, err\n 516→\t}\n 517→\n 518→\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n 519→\tif err != nil {\n 520→\t\tcclog.Warn(\"Error while loading job data\")\n 521→\t\treturn nil, err\n 522→\t}\n 523→\n 524→\tres := []*model.JobMetricWithName{}\n 525→\tfor name, md := range data {\n 526→\t\tfor scope, metric := range md {\n 527→\t\t\tres = append(res, &model.JobMetricWithName{\n 528→\t\t\t\tName: name,\n 529→\t\t\t\tScope: scope,\n 530→\t\t\t\tMetric: metric,\n 531→\t\t\t})\n 532→\t\t}\n 533→\t}\n 534→\n 535→\treturn res, err\n 536→}\n 537→\n 538→// JobStats is the resolver for the jobStats field.\n 539→func (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n 540→\tjob, err := r.Query().Job(ctx, id)\n 541→\tif err != nil {\n 542→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n 543→\t\treturn nil, err\n 544→\t}\n 545→\n 546→\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 547→\tif err != nil {\n 548→\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n 549→\t\treturn nil, err\n 550→\t}\n 551→\n 552→\tres := []*model.NamedStats{}\n 553→\tfor name, md := range data {\n 554→\t\tres = append(res, &model.NamedStats{\n 555→\t\t\tName: name,\n 556→\t\t\tData: &md,\n 557→\t\t})\n 558→\t}\n 559→\n 560→\treturn res, err\n 561→}\n 562→\n 563→// ScopedJobStats is the resolver for the scopedJobStats field.\n 564→func (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n 565→\tjob, err := r.Query().Job(ctx, id)\n 566→\tif err != nil {\n 567→\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n 568→\t\treturn nil, err\n 569→\t}\n 570→\n 571→\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n 572→\tif err != nil {\n 573→\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n 574→\t\treturn nil, err\n 575→\t}\n 576→\n 577→\tres := make([]*model.NamedStatsWithScope, 0)\n 578→\tfor name, scoped := range data {\n 579→\t\tfor scope, stats := range scoped {\n 580→\n 581→\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n 582→\t\t\tfor _, stat := range stats {\n 583→\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n 584→\t\t\t\t\tHostname: stat.Hostname,\n 585→\t\t\t\t\tID: stat.ID,\n 586→\t\t\t\t\tData: stat.Data,\n 587→\t\t\t\t})\n 588→\t\t\t}\n 589→\n 590→\t\t\tres = append(res, &model.NamedStatsWithScope{\n 591→\t\t\t\tName: name,\n 592→\t\t\t\tScope: scope,\n 593→\t\t\t\tStats: mdlStats,\n 594→\t\t\t})\n 595→\t\t}\n 596→\t}\n 597→\n 598→\treturn res, nil\n 599→}\n 600→\n 601→// Jobs is the resolver for the jobs field.\n 602→func (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n 603→\tif page == nil {\n 604→\t\tpage = &model.PageRequest{\n 605→\t\t\tItemsPerPage: 50,\n 606→\t\t\tPage: 1,\n 607→\t\t}\n 608→\t}\n 609→\n 610→\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n 611→\tif err != nil {\n 612→\t\tcclog.Warn(\"Error while querying jobs\")\n 613→\t\treturn nil, err\n 614→\t}\n 615→\n 616→\tcount, err := r.Repo.CountJobs(ctx, filter)\n 617→\tif err != nil {\n 618→\t\tcclog.Warn(\"Error while counting jobs\")\n 619→\t\treturn nil, err\n 620→\t}\n 621→\n 622→\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n 623→\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n 624→\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n 625→\t/*\n 626→\t Example Page 4 @ 10 IpP : Does item 41 exist?\n 627→\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n 628→\t*/\n 629→\thasNextPage := false\n 630→\tif page.ItemsPerPage != -1 {\n 631→\t\tnextPage := &model.PageRequest{\n 632→\t\t\tItemsPerPage: 1,\n 633→\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n 634→\t\t}\n 635→\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n 636→\t\tif err != nil {\n 637→\t\t\tcclog.Warn(\"Error while querying next jobs\")\n 638→\t\t\treturn nil, err\n 639→\t\t}\n 640→\t\thasNextPage = len(nextJobs) == 1\n 641→\t}\n 642→\n 643→\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n 644→}\n 645→\n 646→// JobsStatistics is the resolver for the jobsStatistics field.\n 647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n 648→\tvar err error\n 649→\tvar stats []*model.JobsStatistics\n 650→\n 651→\t// Top Level Defaults\n 652→\tdefaultDurationBins := \"1h\"\n 653→\tdefaultMetricBins := 10\n 654→\n 655→\t// Build requested fields map for selective column computation\n 656→\tstatsFields := []string{\n 657→\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n 658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n 659→\t}\n 660→\treqFields := make(map[string]bool, len(statsFields))\n 661→\tfetchedMainStats := false\n 662→\tfor _, f := range statsFields {\n 663→\t\tif requireField(ctx, f) {\n 664→\t\t\treqFields[f] = true\n 665→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n 666→\t\t\t\tfetchedMainStats = true\n 667→\t\t\t}\n 668→\t\t}\n 669→\t}\n 670→\n 671→\tif fetchedMainStats {\n 672→\t\tif groupBy == nil {\n 673→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n 674→\t\t} else {\n 675→\t\t\tstartGrouped := time.Now()\n 676→\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n 677→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n 678→\t\t}\n 679→\t} else {\n 680→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 681→\t\tstats = append(stats, &model.JobsStatistics{})\n 682→\t}\n 683→\n 684→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n 685→\t// Only run separate count queries if main stats were not fetched.\n 686→\tif !fetchedMainStats {\n 687→\t\tif groupBy != nil {\n 688→\t\t\tif requireField(ctx, \"shortJobs\") {\n 689→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n 690→\t\t\t}\n 691→\t\t\tif requireField(ctx, \"runningJobs\") {\n 692→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n 693→\t\t\t}\n 694→\t\t} else {\n 695→\t\t\tif requireField(ctx, \"shortJobs\") {\n 696→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n 697→\t\t\t}\n 698→\t\t\tif requireField(ctx, \"runningJobs\") {\n 699→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n 700→\t\t\t}\n 701→\t\t}\n 702→\t}\n 703→\n 704→\tif err != nil {\n 705→\t\treturn nil, err\n 706→\t}\n 707→\n 708→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n 709→\n 710→\t\tif numDurationBins == nil {\n 711→\t\t\tnumDurationBins = &defaultDurationBins\n 712→\t\t}\n 713→\n 714→\t\tif groupBy == nil {\n 715→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n 716→\t\t\tif err != nil {\n 717→\t\t\t\treturn nil, err\n 718→\t\t\t}\n 719→\t\t} else {\n 720→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n 721→\t\t}\n 722→\t}\n 723→\n 724→\tif requireField(ctx, \"histMetrics\") {\n 725→\n 726→\t\tif numMetricBins == nil {\n 727→\t\t\tnumMetricBins = &defaultMetricBins\n 728→\t\t}\n 729→\n 730→\t\tif groupBy == nil {\n 731→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n 732→\t\t\tif err != nil {\n 733→\t\t\t\treturn nil, err\n 734→\t\t\t}\n 735→\t\t} else {\n 736→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n 737→\t\t}\n 738→\t}\n 739→\n 740→\treturn stats, nil\n 741→}\n 742→\n 743→// JobsMetricStats is the resolver for the jobsMetricStats field.\n 744→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n 745→\t// No Paging, Fixed Order by StartTime ASC\n 746→\torder := &model.OrderByInput{\n 747→\t\tField: \"startTime\",\n 748→\t\tType: \"col\",\n 749→\t\tOrder: \"ASC\",\n 750→\t}\n 751→\n 752→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n 753→\tif err != nil {\n 754→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n 755→\t\treturn nil, err\n 756→\t}\n 757→\n 758→\tres := []*model.JobStats{}\n 759→\tfor _, job := range jobs {\n 760→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 761→\t\tif err != nil {\n 762→\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n 763→\t\t\tcontinue\n 764→\t\t\t// return nil, err\n 765→\t\t}\n 766→\n 767→\t\tsres := []*model.NamedStats{}\n 768→\t\tfor name, md := range data {\n 769→\t\t\tsres = append(sres, &model.NamedStats{\n 770→\t\t\t\tName: name,\n 771→\t\t\t\tData: &md,\n 772→\t\t\t})\n 773→\t\t}\n 774→\n 775→\t\tnumThreadsInt := int(job.NumHWThreads)\n 776→\t\tnumAccsInt := int(job.NumAcc)\n 777→\t\tres = append(res, &model.JobStats{\n 778→\t\t\tID: int(*job.ID),\n 779→\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n 780→\t\t\tStartTime: int(job.StartTime),\n 781→\t\t\tDuration: int(job.Duration),\n 782→\t\t\tCluster: job.Cluster,\n 783→\t\t\tSubCluster: job.SubCluster,\n 784→\t\t\tNumNodes: int(job.NumNodes),\n 785→\t\t\tNumHWThreads: &numThreadsInt,\n 786→\t\t\tNumAccelerators: &numAccsInt,\n 787→\t\t\tStats: sres,\n 788→\t\t})\n 789→\t}\n 790→\treturn res, err\n 791→}\n 792→\n 793→// JobsFootprints is the resolver for the jobsFootprints field.\n 794→func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 795→\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n 796→\treturn r.jobsFootprints(ctx, filter, metrics)\n 797→}\n 798→\n 799→// RooflineHeatmap is the resolver for the rooflineHeatmap field.\n 800→func (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n 801→\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n 802→}\n 803→\n 804→// NodeMetrics is the resolver for the nodeMetrics field.\n 805→func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n 806→\tuser := repository.GetUserFromContext(ctx)\n 807→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 808→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 809→\t}\n 810→\n 811→\tdefaultMetrics := make([]string, 0)\n 812→\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 813→\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n 814→\t}\n 815→\tif metrics == nil {\n 816→\t\tmetrics = defaultMetrics\n 817→\t} else {\n 818→\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n 819→\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n 820→\t\t})\n 821→\t}\n 822→\n 823→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n 824→\tif err != nil {\n 825→\t\tcclog.Warn(\"error while loading node data\")\n 826→\t\treturn nil, err\n 827→\t}\n 828→\n 829→\tnodeRepo := repository.GetNodeRepository()\n 830→\tstateMap, _ := nodeRepo.MapNodes(cluster)\n 831→\n 832→\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n 833→\tfor hostname, metrics := range data {\n 834→\t\thost := &model.NodeMetrics{\n 835→\t\t\tHost: hostname,\n 836→\t\t\tState: stateMap[hostname],\n 837→\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n 838→\t\t}\n 839→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n 840→\t\tif err != nil {\n 841→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n 842→\t\t}\n 843→\n 844→\t\tfor metric, scopedMetrics := range metrics {\n 845→\t\t\tfor _, scopedMetric := range scopedMetrics {\n 846→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n 847→\t\t\t\t\tName: metric,\n 848→\t\t\t\t\tScope: schema.MetricScopeNode,\n 849→\t\t\t\t\tMetric: scopedMetric,\n 850→\t\t\t\t})\n 851→\t\t\t}\n 852→\t\t}\n 853→\n 854→\t\tnodeMetrics = append(nodeMetrics, host)\n 855→\t}\n 856→\n 857→\treturn nodeMetrics, nil\n 858→}\n 859→\n 860→// NodeMetricsList is the resolver for the nodeMetricsList field.\n 861→func (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n 862→\tif resolution == nil { // Load from Config\n 863→\t\tif config.Keys.EnableResampling != nil {\n 864→\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n 865→\t\t\tresolution = &defaultRes\n 866→\t\t} else { // Set 0 (Loads configured metric timestep)\n 867→\t\t\tdefaultRes := 0\n 868→\t\t\tresolution = &defaultRes\n 869→\t\t}\n 870→\t}\n 871→\n 872→\tuser := repository.GetUserFromContext(ctx)\n 873→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 874→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 875→\t}\n 876→\n 877→\tnodeRepo := repository.GetNodeRepository()\n 878→\t// nodes -> array hostname\n 879→\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n 880→\tif nerr != nil {\n 881→\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n 882→\t}\n 883→\n 884→\tif metrics == nil {\n 885→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 886→\t\t\tmetrics = append(metrics, mc.Name)\n 887→\t\t}\n 888→\t}\n 889→\n 890→\t// data -> map hostname:jobdata\n 891→\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n 892→\tif err != nil {\n 893→\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n 894→\t\treturn nil, err\n 895→\t}\n 896→\n 897→\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n 898→\tfor _, hostname := range nodes {\n 899→\t\thost := &model.NodeMetrics{\n 900→\t\t\tHost: hostname,\n 901→\t\t\tState: stateMap[hostname],\n 902→\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n 903→\t\t}\n 904→\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n 905→\t\tif err != nil {\n 906→\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n 907→\t\t}\n 908→\n 909→\t\tfor metric, scopedMetrics := range data[hostname] {\n 910→\t\t\tfor scope, scopedMetric := range scopedMetrics {\n 911→\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n 912→\t\t\t\t\tName: metric,\n 913→\t\t\t\t\tScope: scope,\n 914→\t\t\t\t\tMetric: scopedMetric,\n 915→\t\t\t\t})\n 916→\t\t\t}\n 917→\t\t}\n 918→\n 919→\t\tnodeMetricsList = append(nodeMetricsList, host)\n 920→\t}\n 921→\n 922→\tnodeMetricsListResult := &model.NodesResultList{\n 923→\t\tItems: nodeMetricsList,\n 924→\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n 925→\t\tTotalNodes: &countNodes,\n 926→\t\tHasNextPage: &hasNextPage,\n 927→\t}\n 928→\n 929→\treturn nodeMetricsListResult, nil\n 930→}\n 931→\n 932→// ClusterMetrics is the resolver for the clusterMetrics field.\n 933→func (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n 934→\tuser := repository.GetUserFromContext(ctx)\n 935→\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n 936→\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n 937→\t}\n 938→\n 939→\tif metrics == nil {\n 940→\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n 941→\t\t\tmetrics = append(metrics, mc.Name)\n 942→\t\t}\n 943→\t}\n 944→\n 945→\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n 946→\tscopes := []schema.MetricScope{\"node\"}\n 947→\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n 948→\tif err != nil {\n 949→\t\tcclog.Warn(\"error while loading node data\")\n 950→\t\treturn nil, err\n 951→\t}\n 952→\n 953→\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n 954→\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n 955→\n 956→\tcollectorTimestep := make(map[string]int)\n 957→\tcollectorUnit := make(map[string]schema.Unit)\n 958→\tcollectorData := make(map[string][]schema.Float)\n 959→\n 960→\tfor _, metrics := range data {\n 961→\t\tclusterMetrics.NodeCount += 1\n 962→\t\tfor metric, scopedMetrics := range metrics {\n 963→\t\t\tfor _, scopedMetric := range scopedMetrics {\n 964→\t\t\t\t// Collect Info Once\n 965→\t\t\t\t_, okTimestep := collectorTimestep[metric]\n 966→\t\t\t\tif !okTimestep {\n 967→\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n 968→\t\t\t\t}\n 969→\t\t\t\t_, okUnit := collectorUnit[metric]\n 970→\t\t\t\tif !okUnit {\n 971→\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n 972→\t\t\t\t}\n 973→\t\t\t\t// Collect Data\n 974→\t\t\t\tfor _, ser := range scopedMetric.Series {\n 975→\t\t\t\t\t_, okData := collectorData[metric]\n 976→\t\t\t\t\t// Init With Datasize > 0\n 977→\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n 978→\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n 979→\t\t\t\t\t} else if !okData {\n 980→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n 981→\t\t\t\t\t}\n 982→\t\t\t\t\t// Sum if init'd and matching size\n 983→\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n 984→\t\t\t\t\t\tfor i, val := range ser.Data {\n 985→\t\t\t\t\t\t\tif val.IsNaN() {\n 986→\t\t\t\t\t\t\t\tcontinue\n 987→\t\t\t\t\t\t\t} else {\n 988→\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n 989→\t\t\t\t\t\t\t}\n 990→\t\t\t\t\t\t}\n 991→\t\t\t\t\t} else if okData {\n 992→\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n 993→\t\t\t\t\t}\n 994→\t\t\t\t}\n 995→\t\t\t}\n 996→\t\t}\n 997→\t}\n 998→\n 999→\tfor metricName, data := range collectorData {\n 1000→\t\t// use ccUnits for backend normalization to \"Tera\"\n 1001→\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n 1002→\t\tp_new := ccunit.NewPrefix(\"T\")\n 1003→\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n 1004→\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n 1005→\n 1006→\t\troundedData := make([]schema.Float, 0)\n 1007→\t\tfor _, v_old := range data {\n 1008→\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n 1009→\t\t\troundedData = append(roundedData, schema.Float(v_new))\n 1010→\t\t}\n 1011→\n 1012→\t\tcm := model.ClusterMetricWithName{\n 1013→\t\t\tName: metricName,\n 1014→\t\t\tUnit: &u_new,\n 1015→\t\t\tTimestep: collectorTimestep[metricName],\n 1016→\t\t\tData: roundedData,\n 1017→\t\t}\n 1018→\n 1019→\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n 1020→\t}\n 1021→\n 1022→\treturn &clusterMetrics, nil\n 1023→}\n 1024→\n 1025→// NumberOfNodes is the resolver for the numberOfNodes field.\n 1026→func (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n 1027→\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n 1028→\tif err != nil {\n 1029→\t\treturn 0, err\n 1030→\t}\n 1031→\treturn nodeList.NodeCount(), nil\n 1032→}\n 1033→\n 1034→// Cluster returns generated.ClusterResolver implementation.\n 1035→func (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n 1036→\n 1037→// Job returns generated.JobResolver implementation.\n 1038→func (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n 1039→\n 1040→// MetricValue returns generated.MetricValueResolver implementation.\n 1041→func (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n 1042→\n 1043→// Mutation returns generated.MutationResolver implementation.\n 1044→func (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n 1045→\n 1046→// Node returns generated.NodeResolver implementation.\n 1047→func (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n 1048→\n 1049→// Query returns generated.QueryResolver implementation.\n 1050→func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n 1051→\n 1052→// SubCluster returns generated.SubClusterResolver implementation.\n 1053→func (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n 1054→\n 1055→type (\n 1056→\tclusterResolver struct{ *Resolver }\n 1057→\tjobResolver struct{ *Resolver }\n 1058→\tmetricValueResolver struct{ *Resolver }\n 1059→\tmutationResolver struct{ *Resolver }\n 1060→\tnodeResolver struct{ *Resolver }\n 1061→\tqueryResolver struct{ *Resolver }\n 1062→\tsubClusterResolver struct{ *Resolver }\n 1063→)\n 1064→"}]},"uuid":"933214bf-62de-45d4-9b28-2162f768f0a7","timestamp":"2026-03-13T13:24:05.028Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype (\n\tclusterResolver struct{ *Resolver }\n\tjobResolver struct{ *Resolver }\n\tmetricValueResolver struct{ *Resolver }\n\tmutationResolver struct{ *Resolver }\n\tnodeResolver struct{ *Resolver }\n\tqueryResolver struct{ *Resolver }\n\tsubClusterResolver struct{ *Resolver }\n)\n","numLines":1064,"startLine":1,"totalLines":1064}},"sourceToolAssistantUUID":"d3e42f29-d9b9-4e5b-ab97-5f8241c416ec","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"933214bf-62de-45d4-9b28-2162f768f0a7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LzQhpV1EHSwyZc35SUkQXW","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EogCCkYICxgCKkANat5OL7MRgsm9+mc+yfxjrKcA7TOZp4NrVtvHr9kCE8PJb57d4cMBTO0Kp/8MCcxRbDfqprWrRAK5zvCvRrZNEgyu8Ip3dbsR1mbMwgQaDHbQOxkaqnrNRNAKUCIwX5O4WuBAJY9FOxWk5WXzI4t6UmZe2RZf4tDCig9qO7b1uGnuOZss0oPEIFW/TDyVKnD+JLh44S0V/2xuG2LKMdwxs+ZR3I12/5ZoTxhkQaOMiB+U/hz/qmptSkTxG0ehA7JFQWb+aAE8iNAmuE4g+vZrbEx9rZkzHZ23oihk/a/anH3x+fOpLqU/mwKZMbyboh1M+GQzXoG7QLjp8HfR/JGnGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":41388,"cache_read_input_tokens":18824,"cache_creation":{"ephemeral_5m_input_tokens":41388,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19oWpdubRQN6ppE3SAt","type":"assistant","uuid":"2ff16df1-a926-4c8b-ae93-5609fd52fc96","timestamp":"2026-03-13T13:24:09.727Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"66dad0f2-fc58-44e5-977a-5d74ad681ef4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VwHRQb2SDr4szLiNEVD4XN","toolUseID":"toolu_01VwHRQb2SDr4szLiNEVD4XN","timestamp":"2026-03-13T13:24:11.088Z","uuid":"64f87274-d25d-4e07-abf6-94604d4e2bab","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"66dad0f2-fc58-44e5-977a-5d74ad681ef4","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VwHRQb2SDr4szLiNEVD4XN","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package main provides the entry point for the ClusterCockpit backend server.\n 7→// This file contains HTTP server setup, routing configuration, and\n 8→// authentication middleware integration.\n 9→package main\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"crypto/tls\"\n 14→\t\"encoding/json\"\n 15→\t\"errors\"\n 16→\t\"fmt\"\n 17→\t\"net\"\n 18→\t\"net/http\"\n 19→\t\"os\"\n 20→\t\"strings\"\n 21→\t\"time\"\n 22→\n 23→\t\"github.com/99designs/gqlgen/graphql/handler\"\n 24→\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n 25→\t\"github.com/99designs/gqlgen/graphql/playground\"\n 26→\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n 27→\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n 28→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 29→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 30→\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n 31→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n 32→\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n 33→\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n 34→\t\"github.com/ClusterCockpit/cc-backend/web\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n 38→\t\"github.com/go-chi/chi/v5\"\n 39→\t\"github.com/go-chi/chi/v5/middleware\"\n 40→\t\"github.com/go-chi/cors\"\n 41→\thttpSwagger \"github.com/swaggo/http-swagger\"\n 42→)\n 43→\n 44→var buildInfo web.Build\n 45→\n 46→// Environment variable names\n 47→const (\n 48→\tenvDebug = \"DEBUG\"\n 49→)\n 50→\n 51→// Server encapsulates the HTTP server state and dependencies\n 52→type Server struct {\n 53→\trouter chi.Router\n 54→\tserver *http.Server\n 55→\trestAPIHandle *api.RestAPI\n 56→\tnatsAPIHandle *api.NatsAPI\n 57→}\n 58→\n 59→func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n 60→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 61→\trw.WriteHeader(http.StatusUnauthorized)\n 62→\tjson.NewEncoder(rw).Encode(map[string]string{\n 63→\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n 64→\t\t\"error\": err.Error(),\n 65→\t})\n 66→}\n 67→\n 68→// NewServer creates and initializes a new Server instance\n 69→func NewServer(version, commit, buildDate string) (*Server, error) {\n 70→\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n 71→\n 72→\ts := &Server{\n 73→\t\trouter: chi.NewRouter(),\n 74→\t}\n 75→\n 76→\tif err := s.init(); err != nil {\n 77→\t\treturn nil, err\n 78→\t}\n 79→\n 80→\treturn s, nil\n 81→}\n 82→\n 83→func (s *Server) init() error {\n 84→\t// Setup the http.Handler/Router used by the server\n 85→\tgraph.Init()\n 86→\tresolver := graph.GetResolverInstance()\n 87→\tgraphQLServer := handler.New(\n 88→\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n 89→\n 90→\tgraphQLServer.AddTransport(transport.POST{})\n 91→\n 92→\tif os.Getenv(envDebug) != \"1\" {\n 93→\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n 94→\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n 95→\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n 96→\t\t\tswitch e := err.(type) {\n 97→\t\t\tcase string:\n 98→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n 99→\t\t\tcase error:\n 100→\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n 101→\t\t\t}\n 102→\n 103→\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n 104→\t\t})\n 105→\t}\n 106→\n 107→\tauthHandle := auth.GetAuthInstance()\n 108→\n 109→\t// Middleware must be defined before routes in chi\n 110→\ts.router.Use(func(next http.Handler) http.Handler {\n 111→\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 112→\t\t\tstart := time.Now()\n 113→\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n 114→\t\t\tnext.ServeHTTP(ww, r)\n 115→\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n 116→\t\t\t\tr.Method, r.URL.RequestURI(),\n 117→\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n 118→\t\t\t\ttime.Since(start).Milliseconds())\n 119→\t\t})\n 120→\t})\n 121→\ts.router.Use(middleware.Compress(5))\n 122→\ts.router.Use(middleware.Recoverer)\n 123→\ts.router.Use(cors.Handler(cors.Options{\n 124→\t\tAllowCredentials: true,\n 125→\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n 126→\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n 127→\t\tAllowedOrigins: []string{\"*\"},\n 128→\t}))\n 129→\n 130→\ts.restAPIHandle = api.New()\n 131→\n 132→\tinfo := map[string]any{}\n 133→\tinfo[\"hasOpenIDConnect\"] = false\n 134→\n 135→\tif auth.Keys.OpenIDConfig != nil {\n 136→\t\topenIDConnect := auth.NewOIDC(authHandle)\n 137→\t\topenIDConnect.RegisterEndpoints(s.router)\n 138→\t\tinfo[\"hasOpenIDConnect\"] = true\n 139→\t}\n 140→\n 141→\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n 142→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 143→\t\tcclog.Debugf(\"##%v##\", info)\n 144→\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n 145→\t})\n 146→\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n 147→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 148→\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n 149→\t})\n 150→\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n 151→\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 152→\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n 153→\t})\n 154→\n 155→\tif !config.Keys.DisableAuthentication {\n 156→\t\t// Create login failure handler (used by both /login and /jwt-login)\n 157→\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n 158→\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 159→\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 160→\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 161→\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n 162→\t\t\t\tMsgType: \"alert-warning\",\n 163→\t\t\t\tMessage: err.Error(),\n 164→\t\t\t\tBuild: buildInfo,\n 165→\t\t\t\tInfos: info,\n 166→\t\t\t})\n 167→\t\t}\n 168→\n 169→\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 170→\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n 171→\n 172→\t\ts.router.Post(\"/logout\", authHandle.Logout(\n 173→\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 174→\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n 175→\t\t\t\trw.WriteHeader(http.StatusOK)\n 176→\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 177→\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n 178→\t\t\t\t\tMsgType: \"alert-info\",\n 179→\t\t\t\t\tMessage: \"Logout successful\",\n 180→\t\t\t\t\tBuild: buildInfo,\n 181→\t\t\t\t\tInfos: info,\n 182→\t\t\t\t})\n 183→\t\t\t})).ServeHTTP)\n 184→\t}\n 185→\n 186→\tif flagDev {\n 187→\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n 188→\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n 189→\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n 190→\t}\n 191→\n 192→\t// Secured routes (require authentication)\n 193→\ts.router.Group(func(secured chi.Router) {\n 194→\t\tif !config.Keys.DisableAuthentication {\n 195→\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n 196→\t\t\t\treturn authHandle.Auth(\n 197→\t\t\t\t\tnext,\n 198→\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n 199→\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n 200→\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n 201→\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n 202→\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n 203→\t\t\t\t\t\t\tMessage: err.Error(),\n 204→\t\t\t\t\t\t\tBuild: buildInfo,\n 205→\t\t\t\t\t\t\tInfos: info,\n 206→\t\t\t\t\t\t\tRedirect: r.RequestURI,\n 207→\t\t\t\t\t\t})\n 208→\t\t\t\t\t})\n 209→\t\t\t})\n 210→\t\t}\n 211→\n 212→\t\tsecured.Handle(\"/query\", graphQLServer)\n 213→\n 214→\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n 215→\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n 216→\t\t})\n 217→\n 218→\t\trouterConfig.SetupRoutes(secured, buildInfo)\n 219→\t})\n 220→\n 221→\t// API routes (JWT token auth)\n 222→\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n 223→\t\t// Main API routes with API auth\n 224→\t\tapiRouter.Group(func(securedapi chi.Router) {\n 225→\t\t\tif !config.Keys.DisableAuthentication {\n 226→\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n 227→\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n 228→\t\t\t\t})\n 229→\t\t\t}\n 230→\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n 231→\t\t})\n 232→\n 233→\t\t// Metric store API routes with separate auth\n 234→\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n 235→\t\t\tif !config.Keys.DisableAuthentication {\n 236→\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n 237→\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n 238→\t\t\t\t})\n 239→\t\t\t}\n 240→\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n 241→\t\t})\n 242→\t})\n 243→\n 244→\t// User API routes\n 245→\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n 246→\t\tif !config.Keys.DisableAuthentication {\n 247→\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n 248→\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n 249→\t\t\t})\n 250→\t\t}\n 251→\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n 252→\t})\n 253→\n 254→\t// Config API routes (uses Group with full paths to avoid shadowing\n 255→\t// the /config page route that is registered in the secured group)\n 256→\ts.router.Group(func(configapi chi.Router) {\n 257→\t\tif !config.Keys.DisableAuthentication {\n 258→\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n 259→\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n 260→\t\t\t})\n 261→\t\t}\n 262→\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n 263→\t})\n 264→\n 265→\t// Frontend API routes\n 266→\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n 267→\t\tif !config.Keys.DisableAuthentication {\n 268→\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n 269→\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n 270→\t\t\t})\n 271→\t\t}\n 272→\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n 273→\t})\n 274→\n 275→\tif config.Keys.APISubjects != nil {\n 276→\t\ts.natsAPIHandle = api.NewNatsAPI()\n 277→\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n 278→\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n 279→\t\t}\n 280→\t}\n 281→\n 282→\t// 404 handler for pages and API routes\n 283→\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n 284→\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n 285→\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n 286→\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n 287→\t\t\trw.WriteHeader(http.StatusNotFound)\n 288→\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n 289→\t\t\t\t\"status\": \"Resource not found\",\n 290→\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n 291→\t\t\t})\n 292→\t\t\treturn\n 293→\t\t}\n 294→\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n 295→\t\trw.WriteHeader(http.StatusNotFound)\n 296→\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n 297→\t\t\tTitle: \"Page Not Found\",\n 298→\t\t\tBuild: buildInfo,\n 299→\t\t})\n 300→\t}\n 301→\n 302→\t// Set NotFound on the router so chi uses it for all unmatched routes,\n 303→\t// including those under subrouters like /api, /userapi, /frontend, etc.\n 304→\ts.router.NotFound(notFoundHandler)\n 305→\n 306→\tif config.Keys.EmbedStaticFiles {\n 307→\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n 308→\t\t\tif i.IsDir() {\n 309→\t\t\t\tcclog.Info(\"Use local directory for static images\")\n 310→\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n 311→\t\t\t}\n 312→\t\t}\n 313→\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n 314→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 315→\t\t\tif web.StaticFileExists(r.URL.Path) {\n 316→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 317→\t\t\t\treturn\n 318→\t\t\t}\n 319→\t\t\tnotFoundHandler(rw, r)\n 320→\t\t}))\n 321→\t} else {\n 322→\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n 323→\t\tfileServer := http.FileServer(staticDir)\n 324→\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n 325→\t\t\tf, err := staticDir.Open(r.URL.Path)\n 326→\t\t\tif err == nil {\n 327→\t\t\t\tf.Close()\n 328→\t\t\t\tfileServer.ServeHTTP(rw, r)\n 329→\t\t\t\treturn\n 330→\t\t\t}\n 331→\t\t\tnotFoundHandler(rw, r)\n 332→\t\t}))\n 333→\t}\n 334→\n 335→\treturn nil\n 336→}\n 337→\n 338→// Server timeout defaults (in seconds)\n 339→const (\n 340→\tdefaultReadTimeout = 20\n 341→\tdefaultWriteTimeout = 20\n 342→)\n 343→\n 344→func (s *Server) Start(ctx context.Context) error {\n 345→\t// Use configurable timeouts with defaults\n 346→\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n 347→\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n 348→\n 349→\ts.server = &http.Server{\n 350→\t\tReadTimeout: readTimeout,\n 351→\t\tWriteTimeout: writeTimeout,\n 352→\t\tHandler: s.router,\n 353→\t\tAddr: config.Keys.Addr,\n 354→\t}\n 355→\n 356→\t// Start http or https server\n 357→\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n 358→\tif err != nil {\n 359→\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n 360→\t}\n 361→\n 362→\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n 363→\t\tgo func() {\n 364→\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n 365→\t\t}()\n 366→\t}\n 367→\n 368→\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n 369→\t\tcert, err := tls.LoadX509KeyPair(\n 370→\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n 371→\t\tif err != nil {\n 372→\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n 373→\t\t}\n 374→\t\tlistener = tls.NewListener(listener, &tls.Config{\n 375→\t\t\tCertificates: []tls.Certificate{cert},\n 376→\t\t\tCipherSuites: []uint16{\n 377→\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n 378→\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n 379→\t\t\t},\n 380→\t\t\tMinVersion: tls.VersionTLS12,\n 381→\t\t\tPreferServerCipherSuites: true,\n 382→\t\t})\n 383→\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n 384→\t} else {\n 385→\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n 386→\t}\n 387→\t//\n 388→\t// Because this program will want to bind to a privileged port (like 80), the listener must\n 389→\t// be established first, then the user can be changed, and after that,\n 390→\t// the actual http server can be started.\n 391→\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n 392→\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n 393→\t}\n 394→\n 395→\t// Handle context cancellation for graceful shutdown\n 396→\tgo func() {\n 397→\t\t<-ctx.Done()\n 398→\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n 399→\t\tdefer cancel()\n 400→\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 401→\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 402→\t\t}\n 403→\t}()\n 404→\n 405→\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n 406→\t\treturn fmt.Errorf(\"server failed: %w\", err)\n 407→\t}\n 408→\treturn nil\n 409→}\n 410→\n 411→func (s *Server) Shutdown(ctx context.Context) {\n 412→\t// Create a shutdown context with timeout\n 413→\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n 414→\tdefer cancel()\n 415→\n 416→\tnc := nats.GetClient()\n 417→\tif nc != nil {\n 418→\t\tnc.Close()\n 419→\t}\n 420→\n 421→\t// First shut down the server gracefully (waiting for all ongoing requests)\n 422→\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n 423→\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n 424→\t}\n 425→\n 426→\t// Archive all the metric store data\n 427→\tms := metricstore.GetMemoryStore()\n 428→\n 429→\tif ms != nil {\n 430→\t\tmetricstore.Shutdown()\n 431→\t}\n 432→\n 433→\t// Shutdown archiver with 10 second timeout for fast shutdown\n 434→\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n 435→\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n 436→\t}\n 437→}\n 438→"}]},"uuid":"00363808-b3e5-478d-91c4-0f1a2749621e","timestamp":"2026-03-13T13:24:11.088Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","numLines":438,"startLine":1,"totalLines":438}},"sourceToolAssistantUUID":"66dad0f2-fc58-44e5-977a-5d74ad681ef4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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210→ {/each}\n 211→ \n 212→ \n 213→ \n 214→ \n 215→ {\n 218→ pagingState = { page: 1, itemsPerPage: 10 };\n 219→ selectedHistograms = [...$state.snapshot(selectedHistograms)];\n 220→ }}\n 221→ />\n 222→ \n 223→\n 224→\n 225→
\n 226→\n 227→\n 228→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 229→ \n 230→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 231→ \n 232→ \n 233→ {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n 234→ \n 248→ {/key}\n 249→ \n 250→ \n 251→
\n 252→

Top Users: Jobs

\n 253→ tu[\"totalJobs\"],\n 260→ )}\n 261→ entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n 262→ scrambleNames ? scramble(tu.id) : tu.id,\n 263→ )}\n 264→ />\n 265→
\n 266→ \n 267→ \n 268→ \n 269→ \n 270→ \n 271→ \n 272→ \n 273→ \n 274→ {#each $topStatsQuery.data.topUserJobs as tu, i}\n 275→ \n 276→ \n 279→ \n 288→ {#if tu?.name}\n 289→ {scrambleNames ? scramble(tu.name) : tu.name}\n 294→ {/if}\n 295→ \n 296→ \n 297→ {/each}\n 298→
UserJobs
\n 280→ {scrambleNames ? scramble(tu.id) : tu.id}\n 286→ \n 287→ {tu[\"totalJobs\"]}
\n 299→ \n 300→\n 301→ \n 302→

Top Projects: Jobs

\n 303→ tp[\"totalJobs\"],\n 310→ )}\n 311→ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n 312→ scrambleNames ? scramble(tp.id) : tp.id,\n 313→ )}\n 314→ />\n 315→ \n 316→ \n 317→ \n 318→ \n 319→ \n 320→ \n 321→ \n 322→ \n 323→ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n 324→ \n 325→ \n 328→ \n 337→ \n 338→ \n 339→ {/each}\n 340→
ProjectJobs
\n 329→ {scrambleNames ? scramble(tp.id) : tp.id}\n 335→ \n 336→ {tp[\"totalJobs\"]}
\n 341→ \n 342→ \n 343→{:else}\n 344→ Cannot render job status charts: No data!\n 347→{/if}\n 348→\n 349→
\n 350→\n 351→\n 352→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 353→ \n 354→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 355→ \n 356→ \n 357→ \n 369→ \n 370→ \n 371→
\n 372→

Top Users: Nodes

\n 373→ tu[\"totalNodes\"],\n 380→ )}\n 381→ entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n 382→ scrambleNames ? scramble(tu.id) : tu.id,\n 383→ )}\n 384→ />\n 385→
\n 386→ \n 387→ \n 388→ \n 389→ \n 390→ \n 391→ \n 392→ \n 393→ \n 394→ {#each $topStatsQuery.data.topUserNodes as tu, i}\n 395→ \n 396→ \n 399→ \n 408→ {#if tu?.name}\n 409→ {scrambleNames ? scramble(tu.name) : tu.name}\n 414→ {/if}\n 415→ \n 416→ \n 417→ {/each}\n 418→
UserNodes
\n 400→ {scrambleNames ? scramble(tu.id) : tu.id}\n 406→ \n 407→ {tu[\"totalNodes\"]}
\n 419→ \n 420→\n 421→ \n 422→

Top Projects: Nodes

\n 423→ tp[\"totalNodes\"],\n 430→ )}\n 431→ entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n 432→ scrambleNames ? scramble(tp.id) : tp.id,\n 433→ )}\n 434→ />\n 435→ \n 436→ \n 437→ \n 438→ \n 439→ \n 440→ \n 441→ \n 442→ \n 443→ {#each $topStatsQuery.data.topProjectNodes as tp, i}\n 444→ \n 445→ \n 448→ \n 457→ \n 458→ \n 459→ {/each}\n 460→
ProjectNodes
\n 449→ {scrambleNames ? scramble(tp.id) : tp.id}\n 455→ \n 456→ {tp[\"totalNodes\"]}
\n 461→ \n 462→ \n 463→{:else}\n 464→ Cannot render node status charts: No data!\n 467→{/if}\n 468→\n 469→
\n 470→\n 471→\n 472→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 473→ \n 474→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 475→ \n 476→ \n 477→ \n 489→ \n 490→ \n 491→
\n 492→

Top Users: GPUs

\n 493→ tu[\"totalAccs\"],\n 500→ )}\n 501→ entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n 502→ scrambleNames ? scramble(tu.id) : tu.id,\n 503→ )}\n 504→ />\n 505→
\n 506→ \n 507→ \n 508→ \n 509→ \n 510→ \n 511→ \n 512→ \n 513→ \n 514→ {#each $topStatsQuery.data.topUserAccs as tu, i}\n 515→ \n 516→ \n 519→ \n 528→ {#if tu?.name}\n 529→ {scrambleNames ? scramble(tu.name) : tu.name}\n 534→ {/if}\n 535→ \n 536→ \n 537→ {/each}\n 538→
UserGPUs
\n 520→ {scrambleNames ? scramble(tu.id) : tu.id}\n 526→ \n 527→ {tu[\"totalAccs\"]}
\n 539→ \n 540→\n 541→ \n 542→

Top Projects: GPUs

\n 543→ tp[\"totalAccs\"],\n 550→ )}\n 551→ entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n 552→ scrambleNames ? scramble(tp.id) : tp.id,\n 553→ )}\n 554→ />\n 555→ \n 556→ \n 557→ \n 558→ \n 559→ \n 560→ \n 561→ \n 562→ \n 563→ {#each $topStatsQuery.data.topProjectAccs as tp, i}\n 564→ \n 565→ \n 568→ \n 577→ \n 578→ \n 579→ {/each}\n 580→
ProjectGPUs
\n 569→ {scrambleNames ? scramble(tp.id) : tp.id}\n 575→ \n 576→ {tp[\"totalAccs\"]}
\n 581→ \n 582→ \n 583→{:else}\n 584→ Cannot render accelerator status charts: No data!\n 587→{/if}\n 588→"}]},"uuid":"894b1de1-e248-46f0-8847-fbcb87c9e4a2","timestamp":"2026-03-13T13:24:15.924Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","content":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","numLines":588,"startLine":1,"totalLines":588}},"sourceToolAssistantUUID":"97a1b420-fab3-40a5-887f-c3e910c1f05e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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columns\n 3→-- These indexes allow the status views to be served entirely from index scans.\n 4→\n 5→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n 6→ ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 7→\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n 9→ ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 10→\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n 12→ ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 13→\n 14→-- Drop 3-col indexes that are now subsumed by the covering indexes above\n 15→DROP INDEX IF EXISTS jobs_cluster_jobstate_user;\n 16→DROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n 17→\n 18→PRAGMA optimize;\n 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num_acc);\n\n-- Drop 3-col indexes that are now subsumed by the covering indexes above\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n\nPRAGMA optimize;\n","numLines":19,"startLine":1,"totalLines":19}},"sourceToolAssistantUUID":"5ca62a38-5bbb-497a-af32-a43d4e8dce5b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"math\"\n 12→\t\"slices\"\n 13→\n 14→\t\"github.com/99designs/gqlgen/graphql\"\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 19→)\n 20→\n 21→const MAX_JOBS_FOR_ANALYSIS = 500\n 22→\n 23→// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\n 24→func (r *queryResolver) rooflineHeatmap(\n 25→\tctx context.Context,\n 26→\tfilter []*model.JobFilter,\n 27→\trows int, cols int,\n 28→\tminX float64, minY float64, maxX float64, maxY float64,\n 29→) ([][]float64, error) {\n 30→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 31→\tif err != nil {\n 32→\t\tcclog.Error(\"Error while querying jobs for roofline\")\n 33→\t\treturn nil, err\n 34→\t}\n 35→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 36→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 37→\t}\n 38→\n 39→\tfcols, frows := float64(cols), float64(rows)\n 40→\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n 41→\ttiles := make([][]float64, rows)\n 42→\tfor i := range tiles {\n 43→\t\ttiles[i] = make([]float64, cols)\n 44→\t}\n 45→\n 46→\tfor _, job := range jobs {\n 47→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 48→\t\t\tcontinue\n 49→\t\t}\n 50→\n 51→\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 52→\t\t// resolution := 0\n 53→\n 54→\t\t// for _, mc := range metricConfigs {\n 55→\t\t// \tresolution = max(resolution, mc.Timestep)\n 56→\t\t// }\n 57→\n 58→\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n 59→\t\tif err != nil {\n 60→\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n 61→\t\t\treturn nil, err\n 62→\t\t}\n 63→\n 64→\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n 65→\t\tif flops_ == nil && membw_ == nil {\n 66→\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n 67→\t\t\tcontinue\n 68→\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n 69→\t\t}\n 70→\n 71→\t\tflops, ok1 := flops_[\"node\"]\n 72→\t\tmembw, ok2 := membw_[\"node\"]\n 73→\t\tif !ok1 || !ok2 {\n 74→\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 75→\t\t\tcontinue\n 76→\t\t\t// TODO/FIXME:\n 77→\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 78→\t\t}\n 79→\n 80→\t\tfor n := 0; n < len(flops.Series); n++ {\n 81→\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n 82→\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n 83→\t\t\t\tif i >= len(membwSeries.Data) {\n 84→\t\t\t\t\tbreak\n 85→\t\t\t\t}\n 86→\n 87→\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n 88→\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n 89→\t\t\t\t\tcontinue\n 90→\t\t\t\t}\n 91→\n 92→\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n 93→\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n 94→\t\t\t\t\tcontinue\n 95→\t\t\t\t}\n 96→\n 97→\t\t\t\ttiles[int(y)][int(x)] += 1\n 98→\t\t\t}\n 99→\t\t}\n 100→\t}\n 101→\n 102→\treturn tiles, nil\n 103→}\n 104→\n 105→// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\n 106→func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 107→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 108→\tif err != nil {\n 109→\t\tcclog.Error(\"Error while querying jobs for footprint\")\n 110→\t\treturn nil, err\n 111→\t}\n 112→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 113→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 114→\t}\n 115→\n 116→\tavgs := make([][]schema.Float, len(metrics))\n 117→\tfor i := range avgs {\n 118→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 119→\t}\n 120→\n 121→\ttimeweights := new(model.TimeWeights)\n 122→\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n 123→\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n 124→\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n 125→\n 126→\tfor _, job := range jobs {\n 127→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 128→\t\t\tcontinue\n 129→\t\t}\n 130→\n 131→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 132→\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n 133→\t\t\treturn nil, err\n 134→\t\t}\n 135→\n 136→\t\t// #166 collect arrays: Null values or no null values?\n 137→\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n 138→\t\tif job.NumAcc > 0 {\n 139→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n 140→\t\t} else {\n 141→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n 142→\t\t}\n 143→\t\tif job.NumHWThreads > 0 {\n 144→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n 145→\t\t} else {\n 146→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n 147→\t\t}\n 148→\t}\n 149→\n 150→\tres := make([]*model.MetricFootprints, len(avgs))\n 151→\tfor i, arr := range avgs {\n 152→\t\tres[i] = &model.MetricFootprints{\n 153→\t\t\tMetric: metrics[i],\n 154→\t\t\tData: arr,\n 155→\t\t}\n 156→\t}\n 157→\n 158→\treturn &model.Footprints{\n 159→\t\tTimeWeights: timeweights,\n 160→\t\tMetrics: res,\n 161→\t}, nil\n 162→}\n 163→\n 164→// func numCoresForJob(job *schema.Job) (numCores int) {\n 165→\n 166→// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n 167→// \tif scerr != nil {\n 168→// \t\treturn 1\n 169→// \t}\n 170→\n 171→// \ttotalJobCores := 0\n 172→// \ttopology := subcluster.Topology\n 173→\n 174→// \tfor _, host := range job.Resources {\n 175→// \t\thwthreads := host.HWThreads\n 176→// \t\tif hwthreads == nil {\n 177→// \t\t\thwthreads = topology.Node\n 178→// \t\t}\n 179→\n 180→// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n 181→// \t\ttotalJobCores += len(hostCores)\n 182→// \t}\n 183→\n 184→// \treturn totalJobCores\n 185→// }\n 186→\n 187→func requireField(ctx context.Context, name string) bool {\n 188→\tfields := graphql.CollectAllFields(ctx)\n 189→\n 190→\treturn slices.Contains(fields, name)\n 191→}\n 192→"}]},"uuid":"db646daa-34ea-4154-8717-ff7edd8d6297","timestamp":"2026-03-13T13:24:25.772Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/util.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"slices\"\n\n\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst MAX_JOBS_FOR_ANALYSIS = 500\n\n// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) rooflineHeatmap(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\trows int, cols int,\n\tminX float64, minY float64, maxX float64, maxY float64,\n) ([][]float64, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for roofline\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tfcols, frows := float64(cols), float64(rows)\n\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n\ttiles := make([][]float64, rows)\n\tfor i := range tiles {\n\t\ttiles[i] = make([]float64, cols)\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\t\t// resolution := 0\n\n\t\t// for _, mc := range metricConfigs {\n\t\t// \tresolution = max(resolution, mc.Timestep)\n\t\t// }\n\n\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n\t\tif flops_ == nil && membw_ == nil {\n\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n\t\t\tcontinue\n\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n\t\t}\n\n\t\tflops, ok1 := flops_[\"node\"]\n\t\tmembw, ok2 := membw_[\"node\"]\n\t\tif !ok1 || !ok2 {\n\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t\tcontinue\n\t\t\t// TODO/FIXME:\n\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t}\n\n\t\tfor n := 0; n < len(flops.Series); n++ {\n\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n\t\t\t\tif i >= len(membwSeries.Data) {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\ttiles[int(y)][int(x)] += 1\n\t\t\t}\n\t\t}\n\t}\n\n\treturn tiles, nil\n}\n\n// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for footprint\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\ttimeweights := new(model.TimeWeights)\n\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// #166 collect arrays: Null values or no null values?\n\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n\t\tif job.NumAcc > 0 {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n\t\t} else {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n\t\t}\n\t\tif job.NumHWThreads > 0 {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n\t\t} else {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n\t\t}\n\t}\n\n\tres := make([]*model.MetricFootprints, len(avgs))\n\tfor i, arr := range avgs {\n\t\tres[i] = &model.MetricFootprints{\n\t\t\tMetric: metrics[i],\n\t\t\tData: arr,\n\t\t}\n\t}\n\n\treturn &model.Footprints{\n\t\tTimeWeights: timeweights,\n\t\tMetrics: res,\n\t}, nil\n}\n\n// func numCoresForJob(job *schema.Job) (numCores int) {\n\n// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n// \tif scerr != nil {\n// \t\treturn 1\n// \t}\n\n// \ttotalJobCores := 0\n// \ttopology := subcluster.Topology\n\n// \tfor _, host := range job.Resources {\n// \t\thwthreads := host.HWThreads\n// \t\tif hwthreads == nil {\n// \t\t\thwthreads = topology.Node\n// \t\t}\n\n// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n// \t\ttotalJobCores += len(hostCores)\n// \t}\n\n// \treturn totalJobCores\n// }\n\nfunc requireField(ctx context.Context, name string) bool {\n\tfields := graphql.CollectAllFields(ctx)\n\n\treturn slices.Contains(fields, 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","structuredPatch":[{"oldStart":21,"oldLines":13,"newStart":21,"newLines":14,"lines":[" // is added to internal/repository/migrations/sqlite3/."," //"," // Version history:","+// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)"," // - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)"," // - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)"," // - Version 11: Optimize job table indexes (reduce from ~78 to 48)"," // - Version 10: Node table"," //"," // Migration files are embedded at build time from the migrations directory.","-const Version uint = 13","+const Version uint = 14"," "," //go:embed migrations/*"," var migrationFiles embed.FS"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ff233541-cb1b-437d-b5a1-5c4735dc3e48","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8db79658-fbad-4246-ac37-3f76c1f35785","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WEj69zhEqjxedFRgfHz39g","type":"message","role":"assistant","content":[{"type":"text","text":"Now inline the literal state value in `BuildWhereClause` for single-state filters:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"cache_creation":{"ephemeral_5m_input_tokens":535,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"e36bd6c7-6a8a-49d1-95ec-a8ff8995502e","timestamp":"2026-03-13T13:24:47.701Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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{"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"output_tokens":310,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":535},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","timestamp":"2026-03-13T13:24:51.160Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"a67b6524-44f4-4584-a05d-caa94055263a","timestamp":"2026-03-13T13:24:51.181Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","oldString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {","newString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n\t\t} else {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {\n\t\t\tstates := make([]string, len(filter.State))\n\t\t\tfor i, val := range filter.State {\n\t\t\t\tstates[i] = string(val)\n\t\t\t}\n\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t\t}\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":198,"oldLines":8,"newStart":198,"newLines":10,"lines":[" }"," if filter.State != nil {"," if len(filter.State) == 1 {","+ // Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').","+ // Safe: values come from validated GraphQL enum (model.JobState)."," singleStat := string(filter.State[0])","- query = query.Where(\"job.job_state = ?\", singleStat)","+ query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))"," } else {"," states := 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cache**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"cache_creation":{"ephemeral_5m_input_tokens":373,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","timestamp":"2026-03-13T13:24:53.881Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CvDFCtvYPhBkgsFKujEt5y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"output_tokens":791,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":373},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","timestamp":"2026-03-13T13:25:03.438Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","toolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","timestamp":"2026-03-13T13:25:03.453Z","uuid":"35832531-83f3-4f3f-b96d-59c2bd91a447","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","type":"tool_result","content":"File created successfully at: /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"}]},"uuid":"a042ca02-488c-424e-88b6-069c298261e5","timestamp":"2026-03-13T13:25:03.453Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a042ca02-488c-424e-88b6-069c298261e5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012GEWpKRU5Mx73pN747mUiF","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the AroundOperations middleware in 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successfully."}]},"uuid":"fbc68978-0297-4973-88de-579028c2ffd2","timestamp":"2026-03-13T13:25:09.395Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\tgraphQLServer.AddTransport(transport.POST{})","newString":"\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":89,"oldLines":6,"newStart":89,"newLines":12,"lines":[" "," graphQLServer.AddTransport(transport.POST{})"," ","+ // Inject a per-request stats cache so that grouped statistics queries","+ // sharing the same (filter, groupBy) pair are executed only once.","+ graphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {","+ return next(graph.WithStatsGroupCache(ctx))","+ })","+"," if os.Getenv(envDebug) != \"1\" {"," // Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed."," // The problem with this is that then, no more stacktrace is printed to stderr."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2ce24c06-01d6-4a1d-b5cd-ab18359a28d4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"fbc68978-0297-4973-88de-579028c2ffd2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"text","text":"I need to add the `graphql` import and export the `WithStatsGroupCache` function. Let me fix the export name first:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","timestamp":"2026-03-13T13:25:12.976Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","new_string":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"output_tokens":229,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":564},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","timestamp":"2026-03-13T13:25:14.266Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","toolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","timestamp":"2026-03-13T13:25:14.291Z","uuid":"5d48dcd7-ac33-4c65-897d-bbd7bee95abd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated. All occurrences of '// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {' were successfully replaced with '// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {'."}]},"uuid":"7614be57-18de-43d4-8812-f22a8e194b90","timestamp":"2026-03-13T13:25:14.291Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","newString":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":39,"oldLines":8,"newStart":39,"newLines":8,"lines":[" }"," }"," ","-// withStatsGroupCache injects a new cache into the context.","-func withStatsGroupCache(ctx context.Context) context.Context {","+// WithStatsGroupCache injects a new cache into the context.","+func WithStatsGroupCache(ctx context.Context) context.Context {"," return context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())"," }"," "]}],"userModified":false,"replaceAll":true},"sourceToolAssistantUUID":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7614be57-18de-43d4-8812-f22a8e194b90","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the `graphql` import in server.go:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"cache_creation":{"ephemeral_5m_input_tokens":350,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","timestamp":"2026-03-13T13:25:30.522Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PzrJcsrW34E3y19BM8FzMD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","old_string":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","new_string":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"output_tokens":281,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":350},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"a6793013-5aa1-4d87-a824-43b6009afa64","timestamp":"2026-03-13T13:25:32.363Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"6d6d3ad3-8652-4f69-9bc0-dd5b55b31967","timestamp":"2026-03-13T13:25:32.387Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","newString":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":20,"oldLines":6,"newStart":20,"newLines":7,"lines":[" \"strings\""," \"time\""," ","+ \"github.com/99designs/gqlgen/graphql\""," 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continued):"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"cache_creation":{"ephemeral_5m_input_tokens":437,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"49f112dc-32cc-47cb-af63-4592d0b45fff","timestamp":"2026-03-13T13:25:35.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"output_tokens":576,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":437},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"eac31e9f-039b-463c-bc87-91c1da020980","timestamp":"2026-03-13T13:25:41.577Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"868f10fc-48dc-488e-9133-b1d838599dee","timestamp":"2026-03-13T13:25:41.604Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","newString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype (\n\tclusterResolver struct{ *Resolver }\n\tjobResolver struct{ *Resolver }\n\tmetricValueResolver struct{ *Resolver }\n\tmutationResolver struct{ *Resolver }\n\tnodeResolver struct{ *Resolver }\n\tqueryResolver struct{ *Resolver }\n\tsubClusterResolver struct{ *Resolver }\n)\n","structuredPatch":[{"oldStart":673,"oldLines":7,"newStart":673,"newLines":20,"lines":[" stats, err = r.Repo.JobsStats(ctx, filter, reqFields)"," } else {"," startGrouped := time.Now()","- stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ // Use request-scoped cache: multiple aliases with same (filter, groupBy)","+ // but different sortBy/page hit the DB only once.","+ if cache := getStatsGroupCache(ctx); cache != nil {","+ key := statsCacheKey(filter, groupBy)","+ var allStats []*model.JobsStatistics","+ allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {","+ return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)","+ })","+ if err == nil {","+ stats = sortAndPageStats(allStats, sortBy, page)","+ }","+ } else {","+ stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ }"," cclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))"," }"," } else {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"eac31e9f-039b-463c-bc87-91c1da020980","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"868f10fc-48dc-488e-9133-b1d838599dee","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WD557D88SP67vegFoJ5jCV","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to add the `sortAndPageStats` helper function. Let me add it to `stats_cache.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"cache_creation":{"ephemeral_5m_input_tokens":622,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","timestamp":"2026-03-13T13:25:44.663Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WD557D88SP67vegFoJ5jCV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":622},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","timestamp":"2026-03-13T13:25:44.761Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","toolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","timestamp":"2026-03-13T13:25:44.779Z","uuid":"6e102bc2-3188-4ad4-a6af-1a0a4ffd0e72","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"sync\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 14→)\n 15→\n 16→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n 17→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n 18→// frontend requests multiple sort/page slices of the same underlying data\n 19→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n 20→type statsGroupCache struct {\n 21→\tmu sync.Mutex\n 22→\tentries map[string]*cacheEntry\n 23→}\n 24→\n 25→type cacheEntry struct {\n 26→\tonce sync.Once\n 27→\tresult []*model.JobsStatistics\n 28→\terr error\n 29→}\n 30→\n 31→type ctxKey int\n 32→\n 33→const statsGroupCacheKey ctxKey = iota\n 34→\n 35→// newStatsGroupCache creates a new empty cache.\n 36→func newStatsGroupCache() *statsGroupCache {\n 37→\treturn &statsGroupCache{\n 38→\t\tentries: make(map[string]*cacheEntry),\n 39→\t}\n 40→}\n 41→\n 42→// WithStatsGroupCache injects a new cache into the context.\n 43→func WithStatsGroupCache(ctx context.Context) context.Context {\n 44→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n 45→}\n 46→\n 47→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n 48→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n 49→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n 50→\t\treturn c\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// cacheKey builds a deterministic string key from filter + groupBy.\n 56→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n 57→\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n 58→}\n 59→\n 60→// getOrCompute returns cached results for the given key, computing them on\n 61→// first access via the provided function.\n 62→func (c *statsGroupCache) getOrCompute(\n 63→\tkey string,\n 64→\tcompute func() ([]*model.JobsStatistics, error),\n 65→) ([]*model.JobsStatistics, error) {\n 66→\tc.mu.Lock()\n 67→\tentry, ok := c.entries[key]\n 68→\tif !ok {\n 69→\t\tentry = &cacheEntry{}\n 70→\t\tc.entries[key] = entry\n 71→\t}\n 72→\tc.mu.Unlock()\n 73→\n 74→\tentry.once.Do(func() {\n 75→\t\tentry.result, entry.err = compute()\n 76→\t})\n 77→\treturn entry.result, entry.err\n 78→}\n 79→"}]},"uuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","timestamp":"2026-03-13T13:25:44.779Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","numLines":79,"startLine":1,"totalLines":79}},"sourceToolAssistantUUID":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PnHsnU6gt2LhjfXhTEZjDR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","new_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1741,"cache_read_input_tokens":82568,"output_tokens":222,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1741},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vsJ8tk4gF7rPLFDyq","type":"assistant","uuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","timestamp":"2026-03-13T13:25:49.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","toolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","timestamp":"2026-03-13T13:25:49.256Z","uuid":"b6bc947a-7db4-4b1b-afd4-da33f15aa784","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","timestamp":"2026-03-13T13:25:49.256Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","newString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" import ("," \"context\""," \"fmt\"","+ \"slices\""," \"sync\""," "," \"github.com/ClusterCockpit/cc-backend/internal/graph/model\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QAa4fwohhpymL9HqVikZH5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"\treturn entry.result, entry.err\n}","new_string":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":267,"cache_read_input_tokens":84309,"output_tokens":918,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":267},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19wCRKxfGtevGTc85v1","type":"assistant","uuid":"edf51814-e2de-4d4f-9baa-2741808df2db","timestamp":"2026-03-13T13:26:01.047Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","toolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","timestamp":"2026-03-13T13:26:01.069Z","uuid":"d9abe7ec-fb44-449a-9f18-f86e4c55ff14","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"d11ac660-7a96-420c-8886-d5b6cc230188","timestamp":"2026-03-13T13:26:01.068Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"\treturn entry.result, entry.err\n}","newString":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":77,"oldLines":3,"newStart":77,"newLines":59,"lines":[" })"," return entry.result, entry.err"," }","+","+// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)","+// and returns the requested page slice.","+func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {","+ // Work on a shallow copy so the cached slice order is not mutated.","+ sorted := make([]*model.JobsStatistics, len(allStats))","+ copy(sorted, allStats)","+","+ if sortBy != nil {","+ getter := statsFieldGetter(*sortBy)","+ slices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {","+ return getter(b) - getter(a) // descending","+ })","+ }","+","+ if page != nil && page.ItemsPerPage != -1 {","+ start := (page.Page - 1) * page.ItemsPerPage","+ if start >= len(sorted) {","+ return nil","+ }","+ end := start + page.ItemsPerPage","+ if end > len(sorted) {","+ end = len(sorted)","+ }","+ sorted = sorted[start:end]","+ }","+","+ return sorted","+}","+","+// statsFieldGetter returns a function that extracts the sortable int field","+// from a JobsStatistics struct for the given sort key.","+func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {","+ switch sortBy {","+ case model.SortByAggregateTotaljobs:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ case model.SortByAggregateTotalusers:","+ return func(s *model.JobsStatistics) int { return s.TotalUsers }","+ case model.SortByAggregateTotalwalltime:","+ return func(s *model.JobsStatistics) int { return s.TotalWalltime }","+ case model.SortByAggregateTotalnodes:","+ return func(s *model.JobsStatistics) int { return s.TotalNodes }","+ case model.SortByAggregateTotalnodehours:","+ return func(s *model.JobsStatistics) int { return s.TotalNodeHours }","+ case model.SortByAggregateTotalcores:","+ return func(s *model.JobsStatistics) int { return s.TotalCores }","+ case model.SortByAggregateTotalcorehours:","+ return func(s *model.JobsStatistics) int { return s.TotalCoreHours }","+ case model.SortByAggregateTotalaccs:","+ return func(s *model.JobsStatistics) int { return s.TotalAccs }","+ case model.SortByAggregateTotalacchours:","+ return func(s *model.JobsStatistics) int { return s.TotalAccHours }","+ default:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ }","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"edf51814-e2de-4d4f-9baa-2741808df2db","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d11ac660-7a96-420c-8886-d5b6cc230188","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"text","text":"The `slices` import: I'm using `slices.SortFunc` so it should be used. Let me check the Go version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"cache_creation":{"ephemeral_5m_input_tokens":1033,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","timestamp":"2026-03-13T13:26:04.185Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","name":"Bash","input":{"command":"head -5 /Users/jan/prg/ClusterCockpit/cc-backend/go.mod","description":"Check Go version"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"output_tokens":127,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1033},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","timestamp":"2026-03-13T13:26:04.767Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","type":"tool_result","content":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","is_error":false}]},"uuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","timestamp":"2026-03-13T13:26:04.820Z","toolUseResult":{"stdout":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"text","text":"Go 1.25 should have `slices` in stdlib. The diagnostic might be stale. Let me verify the build compiles. But first let me do **Change 3: Parallelize histogram queries**."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","timestamp":"2026-03-13T13:26:08.786Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015ABCLJxD54VJdQ4434Xb1T","name":"Bash","input":{"command":"grep 'golang.org/x/sync' go.mod","description":"Check if x/sync is a dependency"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"output_tokens":155,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":229},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"753a9235-bde6-405f-b6f4-72e439b7159b","timestamp":"2026-03-13T13:26:09.488Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"753a9235-bde6-405f-b6f4-72e439b7159b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ABCLJxD54VJdQ4434Xb1T","type":"tool_result","content":"\tgolang.org/x/sync v0.19.0 // indirect","is_error":false}]},"uuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","timestamp":"2026-03-13T13:26:09.534Z","toolUseResult":{"stdout":"\tgolang.org/x/sync v0.19.0 // indirect","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"753a9235-bde6-405f-b6f4-72e439b7159b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SxgSrbZviAMYahS9ihhLra","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `errgroup` is available. Now parallelize the histogram queries in `AddHistograms`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":274,"cache_read_input_tokens":85838,"cache_creation":{"ephemeral_5m_input_tokens":274,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xhAVSmTVBLFWNDEDi","type":"assistant","uuid":"8002f7f9-74b5-44f4-ad05-82b438d15718","timestamp":"2026-03-13T13:26:12.772Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","timestamp":"2026-03-13T13:26:16.260Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"","newString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":55,"oldLines":6,"newStart":55,"newLines":7,"lines":[" cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""," \"github.com/ClusterCockpit/cc-lib/v2/schema\""," sq \"github.com/Masterminds/squirrel\"","+ \"golang.org/x/sync/errgroup\""," )"," "," // groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0e037919-ff3a-40ad-92a5-ae71452dc934","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"text","text":"Now replace the sequential histogram calls with parallel ones:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"cache_creation":{"ephemeral_5m_input_tokens":518,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"220a991e-e26f-4040-9ea2-9834aa852105","timestamp":"2026-03-13T13:26:19.141Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"220a991e-e26f-4040-9ea2-9834aa852105","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BBxZWSii8bhD1q6UKReDX2","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","new_string":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"output_tokens":1008,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":518},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","timestamp":"2026-03-13T13:26:35.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","toolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","timestamp":"2026-03-13T13:26:35.248Z","uuid":"8e20f7f2-24f9-4d71-b275-79561ea268d7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BBxZWSii8bhD1q6UKReDX2","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"61223990-72cc-412c-a85d-bb62dd9936f9","timestamp":"2026-03-13T13:26:35.248Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","newString":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":641,"oldLines":33,"newStart":641,"newLines":48,"lines":[" targetBinSize = 3600"," }"," ","- var err error","- // Return X-Values always as seconds, will be formatted into minutes and hours in frontend","+ // Run all 4 histogram queries in parallel — each writes a distinct struct field.","+ g, gctx := errgroup.WithContext(ctx)","+"," value := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)","- stat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: job duration\")","- return nil, err","- }"," ","- stat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","- return nil, err","- }","+ g.Go(func() error {","+ var err error","+ stat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: job duration\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num acc\")","+ }","+ return err","+ })"," ","- stat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ if err := g.Wait(); err != nil {"," return nil, err"," }"," ","- stat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num acc\")","- return nil, err","- }","-"," cclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))"," return stat, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6f3e3876-3c98-41b5-b64a-64c6d537e940","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"61223990-72cc-412c-a85d-bb62dd9936f9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"text","text":"The LSP says errgroup is unused but it should be used by the code I just added. Let me run `go mod tidy` and verify compilation:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"cache_creation":{"ephemeral_5m_input_tokens":1162,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","timestamp":"2026-03-13T13:26:39.269Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","name":"Bash","input":{"command":"go mod tidy 2>&1","description":"Tidy go modules"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"output_tokens":133,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1162},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","timestamp":"2026-03-13T13:26:39.718Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"48f1c453-5abc-404d-a54a-10c240c7de17","timestamp":"2026-03-13T13:26:39.975Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"48f1c453-5abc-404d-a54a-10c240c7de17","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"text","text":"**Change 4: Frontend consolidated query**\n\nNow update the UsageDash.svelte to use 2 aliases instead of 6:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"cache_creation":{"ephemeral_5m_input_tokens":132,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","timestamp":"2026-03-13T13:26:43.648Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","new_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"output_tokens":1197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":132},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","timestamp":"2026-03-13T13:26:55.968Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"a36a94c9-929c-424a-b35a-b5d956132a5b","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v1","version":1,"backupTime":"2026-03-13T13:25:09.393Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-13T13:25:41.602Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-13T13:26:16.258Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v1","version":1,"backupTime":"2026-03-13T13:26:55.999Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","toolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","timestamp":"2026-03-13T13:26:56.002Z","uuid":"6c61ab56-2675-4f57-8ed3-df99e5e9ebdb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated successfully."}]},"uuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","timestamp":"2026-03-13T13:26:56.002Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","newString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":71,"oldLines":75,"newStart":71,"newLines":68,"lines":[" ? queryStore({"," client: client,"," query: gql`","- query ($filter: [JobFilter!]!, $paging: PageRequest!) {","- topUserJobs: jobsStatistics(","+ query ($filter: [JobFilter!]!) {","+ allUsers: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: USER"," ) {"," id"," name"," totalJobs","+ totalNodes","+ totalAccs"," }","- topProjectJobs: jobsStatistics(","+ allProjects: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: PROJECT"," ) {"," id"," totalJobs","- }","- topUserNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: USER","- ) {","- id","- name"," totalNodes","- }","- topProjectNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: PROJECT","- ) {","- id","- totalNodes","- }","- topUserAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: USER","- ) {","- id","- name"," totalAccs"," }","- topProjectAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: PROJECT","- ) {","- id","- totalAccs","- }"," }"," `,"," variables: {"," filter: statusFilter,","- paging: pagingState, // Top 10"," },"," requestPolicy: \"network-only\","," })"," : null,"," );"," ","+ // Sort + slice top-10 from the full results in the frontend","+ const topUserJobs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectJobs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topUserNodes = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectNodes = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topUserAccs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectAccs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+"," // Note: nodeMetrics are requested on configured $timestep resolution"," const nodeStatusQuery = $derived("," loadMe"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a36a94c9-929c-424a-b35a-b5d956132a5b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"text","text":"Now update all template references from `$topStatsQuery.data.topUserJobs` to `topUserJobs`, etc.:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","timestamp":"2026-03-13T13:26:59.034Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TxQQJm7gJidvyrWhuADT82","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":"$topStatsQuery.data.topUserJobs","new_string":"topUserJobs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","timestamp":"2026-03-13T13:27:00.055Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","toolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","timestamp":"2026-03-13T13:27:00.076Z","uuid":"4f47b0b4-6795-4f14-9c3c-e589f9243cb5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TxQQJm7gJidvyrWhuADT82","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated. All occurrences of '$topStatsQuery.data.topUserJobs' were successfully replaced with 'topUserJobs'."}]},"uuid":"37f50ab8-2134-46b5-af9a-4846b80c1385","timestamp":"2026-03-13T13:27:00.076Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":"$topStatsQuery.data.topUserJobs","newString":"topUserJobs","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":248,"oldLines":10,"newStart":248,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-users\""," size={colWidthJobs * 0.75}"," sliceLabel=\"Jobs\"","- quantities={$topStatsQuery.data.topUserJobs.map(","+ quantities={topUserJobs.map("," (tu) => tu[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topUserJobs.map((tu) =>","+ entities={topUserJobs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":264,"oldLines":7,"newStart":264,"newLines":7,"lines":[" User"," Jobs"," ","- {#each $topStatsQuery.data.topUserJobs as tu, i}","+ {#each topUserJobs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":298,"oldLines":10,"newStart":298,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-projects\""," size={colWidthJobs * 0.75}"," sliceLabel={\"Jobs\"}","- quantities={$topStatsQuery.data.topProjectJobs.map(","+ quantities={topProjectJobs.map("," (tp) => tp[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topProjectJobs.map((tp) =>","+ entities={topProjectJobs.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":313,"oldLines":7,"newStart":313,"newLines":7,"lines":[" Project"," Jobs"," ","- {#each $topStatsQuery.data.topProjectJobs as tp, i}","+ {#each topProjectJobs as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":368,"oldLines":10,"newStart":368,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-users\""," size={colWidthNodes * 0.75}"," sliceLabel=\"Nodes\"","- quantities={$topStatsQuery.data.topUserNodes.map(","+ quantities={topUserNodes.map("," (tu) => tu[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topUserNodes.map((tu) =>","+ entities={topUserNodes.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":384,"oldLines":7,"newStart":384,"newLines":7,"lines":[" User"," Nodes"," ","- {#each $topStatsQuery.data.topUserNodes as tu, i}","+ {#each topUserNodes as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":418,"oldLines":10,"newStart":418,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-projects\""," size={colWidthNodes * 0.75}"," sliceLabel={\"Nodes\"}","- quantities={$topStatsQuery.data.topProjectNodes.map(","+ quantities={topProjectNodes.map("," (tp) => tp[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topProjectNodes.map((tp) =>","+ entities={topProjectNodes.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":433,"oldLines":7,"newStart":433,"newLines":7,"lines":[" Project"," Nodes"," ","- {#each $topStatsQuery.data.topProjectNodes as tp, i}","+ {#each topProjectNodes as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":488,"oldLines":10,"newStart":488,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-accs-users\""," size={colWidthAccs * 0.75}"," sliceLabel=\"GPUs\"","- quantities={$topStatsQuery.data.topUserAccs.map(","+ quantities={topUserAccs.map("," (tu) => tu[\"totalAccs\"],"," )}","- entities={$topStatsQuery.data.topUserAccs.map((tu) =>","+ entities={topUserAccs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":504,"oldLines":7,"newStart":504,"newLines":7,"lines":[" User"," GPUs"," ","- {#each $topStatsQuery.data.topUserAccs as tu, i}","+ {#each topUserAccs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
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and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: cmd/cc-backend/server.go\n\tmodified: go.mod\n\tmodified: internal/graph/schema.resolvers.go\n\tmodified: internal/repository/jobQuery.go\n\tmodified: internal/repository/migration.go\n\tmodified: internal/repository/stats.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit 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committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"d9a9e730-dc4c-4f7a-bb76-ac63523c7115","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8c38acf0-5730-406e-9bcb-4569e2cc147c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EqVHditZ6T22Ah73pJhw7f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018XEdEYxNKn8aaiKuPimai3","name":"Bash","input":{"command":"git diff --stat","description":"Show diff 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internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 deletions(-)","is_error":false}]},"uuid":"34def0fd-3190-440e-8478-b886c3b8ff2a","timestamp":"2026-03-13T13:31:25.694Z","toolUseResult":{"stdout":" cmd/cc-backend/server.go | 7 ++\n go.mod | 2 +-\n internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 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+{"parentUuid":"c8a9689e-b6ab-473e-8908-bdcbcc4bb7d6","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":"Does it make sense to also inline the literal state value in other places?"},"uuid":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","timestamp":"2026-03-13T14:10:51.396Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LadQ1AxETvXziMrYBqj9ps","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nGood question. Let me explore where `job_state` is filtered with parameterized values across the codebase to see if there are other hot paths that would benefit."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":82126,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":82126,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DNSxjVjbYfyBxWUgBg","type":"assistant","uuid":"d5e13524-c651-4d20-b025-783abd83517c","timestamp":"2026-03-13T14:10:57.740Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d5e13524-c651-4d20-b025-783abd83517c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LadQ1AxETvXziMrYBqj9ps","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EDotFfP7XFHmDSwtCzpTYi","name":"Agent","input":{"description":"Find all job_state filter sites","subagent_type":"Explore","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":82126,"cache_read_input_tokens":14321,"output_tokens":364,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":82126},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DNSxjVjbYfyBxWUgBg","type":"assistant","uuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","timestamp":"2026-03-13T14:11:04.386Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"0452f0e0-bc7d-4e99-a6ef-5e905225bd95","timestamp":"2026-03-13T14:11:04.391Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0452f0e0-bc7d-4e99-a6ef-5e905225bd95","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files."}]},"uuid":"708853b8-ac7f-487a-aee8-1feebb810dae","timestamp":"2026-03-13T14:11:04.707Z"},"type":"agent_progress","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files.","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"d9698125-af00-4dd3-a1fa-2a66f5bb7e46","timestamp":"2026-03-13T14:11:04.707Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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files\ninternal/repository/stats.go\ninternal/repository/jobQuery.go\ninternal/repository/migration.go\ninternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\ninternal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql\ninternal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql\ninternal/repository/jobCreate.go\ninternal/repository/migrations/sqlite3/12_stats-covering-index.up.sql\ninternal/repository/migrations/sqlite3/09_add-job-cache.up.sql\ninternal/repository/migrations/sqlite3/11_optimize-indexes.down.sql\ninternal/repository/jobFind.go\ninternal/repository/jobCreate_test.go\ninternal/repository/job.go\ninternal/repository/migrations/sqlite3/04_add-constraints.up.sql\ninternal/repository/migrations/sqlite3/08_add-footprint.up.sql\ninternal/repository/migrations/sqlite3/01_init-schema.up.sql\ninternal/repository/migrations/sqlite3/02_add-index.up.sql\ninternal/repository/migrations/sqlite3/04_add-constraints.down.sql"}]},"uuid":"4043e45a-a9ac-4776-b305-696aa7f31504","timestamp":"2026-03-13T14:11:07.046Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"989db38d-4a17-4739-ab6b-1699a99e48d6","timestamp":"2026-03-13T14:11:07.079Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"188d4f7a-5686-49d2-bc3d-3fb00bddd033","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wp14PSnNiLjZX1qTuT4YyH","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→\t\"golang.org/x/sync/errgroup\"\n 59→)\n 60→\n 61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 64→var groupBy2column = map[model.Aggregate]string{\n 65→\tmodel.AggregateUser: \"job.hpc_user\",\n 66→\tmodel.AggregateProject: \"job.project\",\n 67→\tmodel.AggregateCluster: \"job.cluster\",\n 68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 69→}\n 70→\n 71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 73→// Column names match the AS aliases used in buildStatsQuery.\n 74→var sortBy2column = map[model.SortByAggregate]string{\n 75→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 76→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 77→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 78→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 80→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 82→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 83→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 84→}\n 85→\n 86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 87→//\n 88→// Parameters:\n 89→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 90→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 91→// - col: Column name to GROUP BY; empty string for total count without grouping\n 92→//\n 93→// Returns a SelectBuilder that produces either:\n 94→// - Single count: COUNT(job.id) when col is empty\n 95→// - Grouped counts: col, COUNT(job.id) when col is specified\n 96→//\n 97→// The kind parameter enables counting specific job categories:\n 98→// - \"running\": Only jobs with job_state = 'running'\n 99→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 100→// - empty: All jobs matching filters\n 101→func (r *JobRepository) buildCountQuery(\n 102→\tfilter []*model.JobFilter,\n 103→\tkind string,\n 104→\tcol string,\n 105→) sq.SelectBuilder {\n 106→\tvar query sq.SelectBuilder\n 107→\n 108→\tif col != \"\" {\n 109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 110→\t} else {\n 111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 112→\t}\n 113→\n 114→\tswitch kind {\n 115→\tcase \"running\":\n 116→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 117→\tcase \"short\":\n 118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 119→\t}\n 120→\n 121→\tfor _, f := range filter {\n 122→\t\tquery = BuildWhereClause(f, query)\n 123→\t}\n 124→\n 125→\treturn query\n 126→}\n 127→\n 128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 130→//\n 131→// Parameters:\n 132→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 133→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 134→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 135→// - reqFields: Set of requested field names; nil means compute all fields\n 136→func (r *JobRepository) buildStatsQuery(\n 137→\tfilter []*model.JobFilter,\n 138→\tcol string,\n 139→\tshortThreshold int,\n 140→\treqFields map[string]bool,\n 141→) sq.SelectBuilder {\n 142→\tnow := time.Now().Unix()\n 143→\n 144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 145→\tneed := func(field string) bool {\n 146→\t\treturn reqFields == nil || reqFields[field]\n 147→\t}\n 148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 149→\n 150→\t// Build column list\n 151→\tcolumns := make([]string, 0, 14)\n 152→\n 153→\tif col != \"\" {\n 154→\t\tcolumns = append(columns, col)\n 155→\t}\n 156→\n 157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 158→\n 159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 161→\t} else {\n 162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 163→\t}\n 164→\n 165→\tif need(\"totalWalltime\") {\n 166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 167→\t} else {\n 168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 169→\t}\n 170→\n 171→\tif need(\"totalNodes\") {\n 172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 173→\t} else {\n 174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 175→\t}\n 176→\n 177→\tif need(\"totalNodeHours\") {\n 178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 179→\t} else {\n 180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 181→\t}\n 182→\n 183→\tif need(\"totalCores\") {\n 184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 185→\t} else {\n 186→\t\tcolumns = append(columns, \"0 as totalCores\")\n 187→\t}\n 188→\n 189→\tif need(\"totalCoreHours\") {\n 190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 191→\t} else {\n 192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 193→\t}\n 194→\n 195→\tif need(\"totalAccs\") {\n 196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 197→\t} else {\n 198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 199→\t}\n 200→\n 201→\tif need(\"totalAccHours\") {\n 202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 203→\t} else {\n 204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 205→\t}\n 206→\n 207→\tif need(\"runningJobs\") {\n 208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 209→\t} else {\n 210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 211→\t}\n 212→\n 213→\tif need(\"shortJobs\") {\n 214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 215→\t} else {\n 216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 217→\t}\n 218→\n 219→\tquery := sq.Select(columns...).From(\"job\")\n 220→\tif col != \"\" {\n 221→\t\tquery = query.GroupBy(col)\n 222→\t}\n 223→\n 224→\tfor _, f := range filter {\n 225→\t\tquery = BuildWhereClause(f, query)\n 226→\t}\n 227→\n 228→\treturn query\n 229→}\n 230→\n 231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 234→func (r *JobRepository) JobsStatsGrouped(\n 235→\tctx context.Context,\n 236→\tfilter []*model.JobFilter,\n 237→\tpage *model.PageRequest,\n 238→\tsortBy *model.SortByAggregate,\n 239→\tgroupBy *model.Aggregate,\n 240→\treqFields map[string]bool,\n 241→) ([]*model.JobsStatistics, error) {\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\treturn stats, nil\n 329→}\n 330→\n 331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 332→//\n 333→// This method provides a single aggregate view of job metrics, useful for dashboard\n 334→// summaries and overall system utilization reports.\n 335→//\n 336→// Parameters:\n 337→// - ctx: Context for security checks and cancellation\n 338→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 339→//\n 340→// Returns a single-element slice containing aggregate statistics:\n 341→// - totalJobs, totalUsers, totalWalltime\n 342→// - totalNodeHours, totalCoreHours, totalAccHours\n 343→//\n 344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 345→// Security checks are applied via SecurityCheck to respect user access levels.\n 346→func (r *JobRepository) JobsStats(\n 347→\tctx context.Context,\n 348→\tfilter []*model.JobFilter,\n 349→\treqFields map[string]bool,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 388→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 389→\t\t\t})\n 390→\t}\n 391→\n 392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 393→\treturn stats, nil\n 394→}\n 395→\n 396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 397→// Returns 0.0 if the metric is not found or statType is invalid.\n 398→//\n 399→// Parameters:\n 400→// - job: Job struct with populated Statistics field\n 401→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 402→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 403→//\n 404→// Returns the requested statistic value or 0.0 if not found.\n 405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 406→\tif stats, ok := job.Statistics[metric]; ok {\n 407→\t\tswitch statType {\n 408→\t\tcase \"avg\":\n 409→\t\t\treturn stats.Avg\n 410→\t\tcase \"max\":\n 411→\t\t\treturn stats.Max\n 412→\t\tcase \"min\":\n 413→\t\t\treturn stats.Min\n 414→\t\tdefault:\n 415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 416→\t\t}\n 417→\t}\n 418→\n 419→\treturn 0.0\n 420→}\n 421→\n 422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 423→//\n 424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 425→// avoiding the overhead of calculating walltime and resource usage metrics.\n 426→//\n 427→// Parameters:\n 428→// - ctx: Context for security checks\n 429→// - filter: Filters to apply\n 430→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 431→//\n 432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 433→func (r *JobRepository) JobCountGrouped(\n 434→\tctx context.Context,\n 435→\tfilter []*model.JobFilter,\n 436→\tgroupBy *model.Aggregate,\n 437→) ([]*model.JobsStatistics, error) {\n 438→\tstart := time.Now()\n 439→\tcol := groupBy2column[*groupBy]\n 440→\tquery := r.buildCountQuery(filter, \"\", col)\n 441→\tquery, err := SecurityCheck(ctx, query)\n 442→\tif err != nil {\n 443→\t\treturn nil, err\n 444→\t}\n 445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 446→\tif err != nil {\n 447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 448→\t\treturn nil, err\n 449→\t}\n 450→\tdefer rows.Close()\n 451→\n 452→\tstats := make([]*model.JobsStatistics, 0, 100)\n 453→\n 454→\tfor rows.Next() {\n 455→\t\tvar id sql.NullString\n 456→\t\tvar cnt sql.NullInt64\n 457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 459→\t\t\treturn nil, err\n 460→\t\t}\n 461→\t\tif id.Valid {\n 462→\t\t\tstats = append(stats,\n 463→\t\t\t\t&model.JobsStatistics{\n 464→\t\t\t\t\tID: id.String,\n 465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 466→\t\t\t\t})\n 467→\t\t}\n 468→\t}\n 469→\n 470→\tif err := rows.Err(); err != nil {\n 471→\t\treturn nil, err\n 472→\t}\n 473→\n 474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 475→\treturn stats, nil\n 476→}\n 477→\n 478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 479→//\n 480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 482→//\n 483→// Parameters:\n 484→// - ctx: Context for security checks\n 485→// - filter: Filters to apply\n 486→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 487→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 488→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 489→//\n 490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 491→// Groups without matching jobs will have 0 for the added field.\n 492→func (r *JobRepository) AddJobCountGrouped(\n 493→\tctx context.Context,\n 494→\tfilter []*model.JobFilter,\n 495→\tgroupBy *model.Aggregate,\n 496→\tstats []*model.JobsStatistics,\n 497→\tkind string,\n 498→) ([]*model.JobsStatistics, error) {\n 499→\tstart := time.Now()\n 500→\tcol := groupBy2column[*groupBy]\n 501→\tquery := r.buildCountQuery(filter, kind, col)\n 502→\tquery, err := SecurityCheck(ctx, query)\n 503→\tif err != nil {\n 504→\t\treturn nil, err\n 505→\t}\n 506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 507→\tif err != nil {\n 508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 509→\t\treturn nil, err\n 510→\t}\n 511→\tdefer rows.Close()\n 512→\n 513→\tcounts := make(map[string]int)\n 514→\n 515→\tfor rows.Next() {\n 516→\t\tvar id sql.NullString\n 517→\t\tvar cnt sql.NullInt64\n 518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\tif id.Valid {\n 523→\t\t\tcounts[id.String] = int(cnt.Int64)\n 524→\t\t}\n 525→\t}\n 526→\n 527→\tif err := rows.Err(); err != nil {\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tswitch kind {\n 532→\tcase \"running\":\n 533→\t\tfor _, s := range stats {\n 534→\t\t\ts.RunningJobs = counts[s.ID]\n 535→\t\t}\n 536→\tcase \"short\":\n 537→\t\tfor _, s := range stats {\n 538→\t\t\ts.ShortJobs = counts[s.ID]\n 539→\t\t}\n 540→\t}\n 541→\n 542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 543→\treturn stats, nil\n 544→}\n 545→\n 546→// AddJobCount augments existing overall statistics with additional job counts by category.\n 547→//\n 548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 549→// to all statistics entries (typically just one).\n 550→//\n 551→// Parameters:\n 552→// - ctx: Context for security checks\n 553→// - filter: Filters to apply\n 554→// - stats: Existing statistics to augment (modified in-place)\n 555→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 556→//\n 557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 558→func (r *JobRepository) AddJobCount(\n 559→\tctx context.Context,\n 560→\tfilter []*model.JobFilter,\n 561→\tstats []*model.JobsStatistics,\n 562→\tkind string,\n 563→) ([]*model.JobsStatistics, error) {\n 564→\tstart := time.Now()\n 565→\tquery := r.buildCountQuery(filter, kind, \"\")\n 566→\tquery, err := SecurityCheck(ctx, query)\n 567→\tif err != nil {\n 568→\t\treturn nil, err\n 569→\t}\n 570→\tvar cnt sql.NullInt64\n 571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 573→\t\treturn nil, err\n 574→\t}\n 575→\n 576→\tcount := int(cnt.Int64)\n 577→\n 578→\tswitch kind {\n 579→\tcase \"running\":\n 580→\t\tfor _, s := range stats {\n 581→\t\t\ts.RunningJobs = count\n 582→\t\t}\n 583→\tcase \"short\":\n 584→\t\tfor _, s := range stats {\n 585→\t\t\ts.ShortJobs = count\n 586→\t\t}\n 587→\t}\n 588→\n 589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 590→\treturn stats, nil\n 591→}\n 592→\n 593→// AddHistograms augments statistics with distribution histograms for job properties.\n 594→//\n 595→// Generates histogram data for visualization of job duration, node count, core count,\n 596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 597→// on the requested resolution.\n 598→//\n 599→// Parameters:\n 600→// - ctx: Context for security checks\n 601→// - filter: Filters to apply to jobs included in histograms\n 602→// - stat: Statistics struct to augment (modified in-place)\n 603→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 604→//\n 605→// Populates these fields in stat:\n 606→// - HistDuration: Job duration distribution (zero-padded bins)\n 607→// - HistNumNodes: Node count distribution\n 608→// - HistNumCores: Core (hwthread) count distribution\n 609→// - HistNumAccs: Accelerator count distribution\n 610→//\n 611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 613→func (r *JobRepository) AddHistograms(\n 614→\tctx context.Context,\n 615→\tfilter []*model.JobFilter,\n 616→\tstat *model.JobsStatistics,\n 617→\tdurationBins *string,\n 618→) (*model.JobsStatistics, error) {\n 619→\tstart := time.Now()\n 620→\n 621→\tvar targetBinCount int\n 622→\tvar targetBinSize int\n 623→\tswitch *durationBins {\n 624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 625→\t\ttargetBinCount = 60\n 626→\t\ttargetBinSize = 60\n 627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 628→\t\ttargetBinCount = 72\n 629→\t\ttargetBinSize = 600\n 630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 631→\t\ttargetBinCount = 48\n 632→\t\ttargetBinSize = 3600\n 633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 634→\t\ttargetBinCount = 12\n 635→\t\ttargetBinSize = 21600\n 636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 637→\t\ttargetBinCount = 14\n 638→\t\ttargetBinSize = 43200\n 639→\tdefault: // 24h\n 640→\t\ttargetBinCount = 24\n 641→\t\ttargetBinSize = 3600\n 642→\t}\n 643→\n 644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n 645→\tg, gctx := errgroup.WithContext(ctx)\n 646→\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\n 649→\tg.Go(func() error {\n 650→\t\tvar err error\n 651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n 652→\t\tif err != nil {\n 653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 654→\t\t}\n 655→\t\treturn err\n 656→\t})\n 657→\tg.Go(func() error {\n 658→\t\tvar err error\n 659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n 660→\t\tif err != nil {\n 661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 662→\t\t}\n 663→\t\treturn err\n 664→\t})\n 665→\tg.Go(func() error {\n 666→\t\tvar err error\n 667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n 668→\t\tif err != nil {\n 669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 670→\t\t}\n 671→\t\treturn err\n 672→\t})\n 673→\tg.Go(func() error {\n 674→\t\tvar err error\n 675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n 676→\t\tif err != nil {\n 677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 678→\t\t}\n 679→\t\treturn err\n 680→\t})\n 681→\n 682→\tif err := g.Wait(); err != nil {\n 683→\t\treturn nil, err\n 684→\t}\n 685→\n 686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 687→\treturn stat, nil\n 688→}\n 689→\n 690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 691→//\n 692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 694→// use footprint data from database.\n 695→//\n 696→// Parameters:\n 697→// - ctx: Context for security checks\n 698→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 699→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 700→// - stat: Statistics struct to augment (modified in-place)\n 701→// - targetBinCount: Number of histogram bins (default: 10)\n 702→//\n 703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 704→//\n 705→// Binning algorithm:\n 706→// - Values normalized to metric's peak value from cluster configuration\n 707→// - Bins evenly distributed from 0 to peak\n 708→// - Pre-initialized with zeros for consistent visualization\n 709→//\n 710→// Limitations:\n 711→// - Running jobs: Limited to 5000 jobs for performance\n 712→// - Requires valid cluster configuration with metric peak values\n 713→// - Uses footprint statistic (avg/max/min) configured per metric\n 714→func (r *JobRepository) AddMetricHistograms(\n 715→\tctx context.Context,\n 716→\tfilter []*model.JobFilter,\n 717→\tmetrics []string,\n 718→\tstat *model.JobsStatistics,\n 719→\ttargetBinCount *int,\n 720→) (*model.JobsStatistics, error) {\n 721→\tstart := time.Now()\n 722→\n 723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 724→\tfor _, f := range filter {\n 725→\t\tif f.State != nil {\n 726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\t\t\t\treturn stat, nil\n 730→\t\t\t}\n 731→\t\t}\n 732→\t}\n 733→\n 734→\t// All other cases: Query and make bins in sqlite directly\n 735→\tfor _, m := range metrics {\n 736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 737→\t\tif err != nil {\n 738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 739→\t\t\tcontinue\n 740→\t\t}\n 741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 742→\t}\n 743→\n 744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 745→\treturn stat, nil\n 746→}\n 747→\n 748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 749→//\n 750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 752→//\n 753→// Parameters:\n 754→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 755→// - filters: Job filters to apply\n 756→//\n 757→// Returns histogram points with Value (from column) and Count (number of jobs).\n 758→func (r *JobRepository) jobsStatisticsHistogram(\n 759→\tctx context.Context,\n 760→\tvalue string,\n 761→\tfilters []*model.JobFilter,\n 762→) ([]*model.HistoPoint, error) {\n 763→\tstart := time.Now()\n 764→\tquery, qerr := SecurityCheck(ctx,\n 765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 766→\n 767→\tif qerr != nil {\n 768→\t\treturn nil, qerr\n 769→\t}\n 770→\n 771→\tfor _, f := range filters {\n 772→\t\tquery = BuildWhereClause(f, query)\n 773→\t}\n 774→\n 775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 776→\tif err != nil {\n 777→\t\tcclog.Error(\"Error while running query\")\n 778→\t\treturn nil, err\n 779→\t}\n 780→\tdefer rows.Close()\n 781→\n 782→\tpoints := make([]*model.HistoPoint, 0)\n 783→\t// is it possible to introduce zero values here? requires info about bincount\n 784→\tfor rows.Next() {\n 785→\t\tpoint := model.HistoPoint{}\n 786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 788→\t\t\treturn nil, err\n 789→\t\t}\n 790→\n 791→\t\tpoints = append(points, &point)\n 792→\t}\n 793→\n 794→\tif err := rows.Err(); err != nil {\n 795→\t\treturn nil, err\n 796→\t}\n 797→\n 798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 799→\treturn points, nil\n 800→}\n 801→\n 802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 803→//\n 804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 805→// histograms which only return bins with data. The value parameter should compute\n 806→// the bin number from job duration.\n 807→//\n 808→// Parameters:\n 809→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 810→// - filters: Job filters to apply\n 811→// - binSizeSeconds: Width of each bin in seconds\n 812→// - targetBinCount: Number of bins to pre-initialize\n 813→//\n 814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 816→//\n 817→// Algorithm:\n 818→// 1. Pre-initialize targetBinCount bins with zero counts\n 819→// 2. Query database for actual counts per bin\n 820→// 3. Match query results to pre-initialized bins by value\n 821→// 4. Bins without matches remain at zero\n 822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 823→\tctx context.Context,\n 824→\tvalue string,\n 825→\tfilters []*model.JobFilter,\n 826→\tbinSizeSeconds int,\n 827→\ttargetBinCount *int,\n 828→) ([]*model.HistoPoint, error) {\n 829→\tstart := time.Now()\n 830→\tquery, qerr := SecurityCheck(ctx,\n 831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 832→\n 833→\tif qerr != nil {\n 834→\t\treturn nil, qerr\n 835→\t}\n 836→\n 837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 840→\tfor i := 1; i <= *targetBinCount; i++ {\n 841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 842→\t\tpoints = append(points, &point)\n 843→\t}\n 844→\n 845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 846→\tbinMap := make(map[int]int, len(points))\n 847→\tfor i, p := range points {\n 848→\t\tbinMap[p.Value] = i\n 849→\t}\n 850→\n 851→\tfor _, f := range filters {\n 852→\t\tquery = BuildWhereClause(f, query)\n 853→\t}\n 854→\n 855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 856→\tif err != nil {\n 857→\t\tcclog.Error(\"Error while running query\")\n 858→\t\treturn nil, err\n 859→\t}\n 860→\tdefer rows.Close()\n 861→\n 862→\t// Match query results to pre-initialized bins using map lookup.\n 863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 864→\tfor rows.Next() {\n 865→\t\tpoint := model.HistoPoint{}\n 866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 868→\t\t\treturn nil, err\n 869→\t\t}\n 870→\n 871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 872→\t\t\tpoints[idx].Count = point.Count\n 873→\t\t}\n 874→\t}\n 875→\n 876→\tif err := rows.Err(); err != nil {\n 877→\t\treturn nil, err\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 881→\treturn points, nil\n 882→}\n 883→\n 884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 885→//\n 886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 888→// and computing bin assignments in SQL.\n 889→//\n 890→// Parameters:\n 891→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 892→// - filters: Job filters to apply\n 893→// - bins: Number of bins to generate\n 894→//\n 895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 896→//\n 897→// Algorithm:\n 898→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 899→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 900→// 3. Pre-initialize bins with min/max ranges based on peak value\n 901→// 4. Query database for counts per bin\n 902→// 5. Match results to pre-initialized bins\n 903→//\n 904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 905→// peak by 0.999999999 to avoid creating an extra bin.\n 906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 907→\tctx context.Context,\n 908→\tmetric string,\n 909→\tfilters []*model.JobFilter,\n 910→\tbins *int,\n 911→) (*model.MetricHistoPoints, error) {\n 912→\t// Peak value defines the upper bound for binning: values are distributed across\n 913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 914→\t// scan all clusters to find the maximum peak value.\n 915→\tvar metricConfig *schema.MetricConfig\n 916→\tvar peak float64\n 917→\tvar unit string\n 918→\tvar footprintStat string\n 919→\n 920→\t// Try to get metric config from filtered cluster\n 921→\tfor _, f := range filters {\n 922→\t\tif f.Cluster != nil {\n 923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 924→\t\t\tpeak = metricConfig.Peak\n 925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 926→\t\t\tfootprintStat = metricConfig.Footprint\n 927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 932→\t// This ensures histogram can accommodate all possible values\n 933→\tif peak == 0.0 {\n 934→\t\tfor _, c := range archive.Clusters {\n 935→\t\t\tfor _, m := range c.MetricConfig {\n 936→\t\t\t\tif m.Name == metric {\n 937→\t\t\t\t\tif m.Peak > peak {\n 938→\t\t\t\t\t\tpeak = m.Peak\n 939→\t\t\t\t\t}\n 940→\t\t\t\t\tif unit == \"\" {\n 941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 942→\t\t\t\t\t}\n 943→\t\t\t\t\tif footprintStat == \"\" {\n 944→\t\t\t\t\t\tfootprintStat = m.Footprint\n 945→\t\t\t\t\t}\n 946→\t\t\t\t}\n 947→\t\t\t}\n 948→\t\t}\n 949→\t}\n 950→\n 951→\t// Construct SQL histogram bins using normalized values.\n 952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 953→\tstart := time.Now()\n 954→\n 955→\t// Bin calculation formula:\n 956→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 957→\t// Special case: value == peak would create bin N+1, so we test for equality\n 958→\t// and multiply peak by 0.999999999 to force it into bin N.\n 959→\tbinQuery := fmt.Sprintf(`CAST(\n 960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 961→\t\t* %v as INTEGER )`,\n 962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 963→\n 964→\tmainQuery := sq.Select(\n 965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 966→\t\t`count(*) as count`,\n 967→\t).From(\"job\").Where(\n 968→\t\t\"JSON_VALID(footprint)\",\n 969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 970→\n 971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 972→\tif qerr != nil {\n 973→\t\treturn nil, qerr\n 974→\t}\n 975→\n 976→\tfor _, f := range filters {\n 977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 978→\t}\n 979→\n 980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 981→\n 982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 983→\tif err != nil {\n 984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 985→\t\treturn nil, err\n 986→\t}\n 987→\tdefer rows.Close()\n 988→\n 989→\t// Pre-initialize bins with calculated min/max ranges.\n 990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 992→\tbinStep := int(peak) / *bins\n 993→\tfor i := 1; i <= *bins; i++ {\n 994→\t\tbinMin := (binStep * (i - 1))\n 995→\t\tbinMax := (binStep * i)\n 996→\t\tidx := i\n 997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 998→\t\tpoints = append(points, &epoint)\n 999→\t}\n 1000→\n 1001→\t// Build a map from bin number to slice index for O(1) lookup.\n 1002→\tbinMap := make(map[int]int, len(points))\n 1003→\tfor i, p := range points {\n 1004→\t\tif p.Bin != nil {\n 1005→\t\t\tbinMap[*p.Bin] = i\n 1006→\t\t}\n 1007→\t}\n 1008→\n 1009→\t// Match query results to pre-initialized bins using map lookup.\n 1010→\tfor rows.Next() {\n 1011→\t\trpoint := model.MetricHistoPoint{}\n 1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1014→\t\t\treturn nil, err\n 1015→\t\t}\n 1016→\n 1017→\t\tif rpoint.Bin != nil {\n 1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1020→\t\t\t}\n 1021→\t\t}\n 1022→\t}\n 1023→\n 1024→\tif err := rows.Err(); err != nil {\n 1025→\t\treturn nil, err\n 1026→\t}\n 1027→\n 1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1029→\n 1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1031→\treturn &result, nil\n 1032→}\n 1033→\n 1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1035→//\n 1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1037→// fetching current metric averages from the metric backend (via metricdispatch).\n 1038→//\n 1039→// Parameters:\n 1040→// - metrics: List of metric names\n 1041→// - filters: Job filters (should filter to running jobs only)\n 1042→// - bins: Number of histogram bins\n 1043→//\n 1044→// Returns slice of MetricHistoPoints, one per metric.\n 1045→//\n 1046→// Limitations:\n 1047→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1048→// - Requires metric backend availability\n 1049→// - Bins based on metric peak values from cluster configuration\n 1050→//\n 1051→// Algorithm:\n 1052→// 1. Query first 5001 jobs to check count limit\n 1053→// 2. Load metric averages for all jobs via metricdispatch\n 1054→// 3. For each metric, create bins based on peak value\n 1055→// 4. Iterate averages and count jobs per bin\n 1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1057→\tctx context.Context,\n 1058→\tmetrics []string,\n 1059→\tfilters []*model.JobFilter,\n 1060→\tbins *int,\n 1061→) []*model.MetricHistoPoints {\n 1062→\t// Get Jobs\n 1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1064→\tif err != nil {\n 1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1066→\t\treturn nil\n 1067→\t}\n 1068→\tif len(jobs) > 5000 {\n 1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1070→\t\treturn nil\n 1071→\t}\n 1072→\n 1073→\t// Get AVGs from metric repo\n 1074→\tavgs := make([][]schema.Float, len(metrics))\n 1075→\tfor i := range avgs {\n 1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1077→\t}\n 1078→\n 1079→\tfor _, job := range jobs {\n 1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1081→\t\t\tcontinue\n 1082→\t\t}\n 1083→\n 1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1086→\t\t\treturn nil\n 1087→\t\t}\n 1088→\t}\n 1089→\n 1090→\t// Iterate metrics to fill endresult\n 1091→\tdata := make([]*model.MetricHistoPoints, 0)\n 1092→\tfor idx, metric := range metrics {\n 1093→\t\t// Get specific Peak or largest Peak\n 1094→\t\tvar metricConfig *schema.MetricConfig\n 1095→\t\tvar peak float64\n 1096→\t\tvar unit string\n 1097→\n 1098→\t\tfor _, f := range filters {\n 1099→\t\t\tif f.Cluster != nil {\n 1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1101→\t\t\t\tpeak = metricConfig.Peak\n 1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1103→\t\t\t}\n 1104→\t\t}\n 1105→\n 1106→\t\tif peak == 0.0 {\n 1107→\t\t\tfor _, c := range archive.Clusters {\n 1108→\t\t\t\tfor _, m := range c.MetricConfig {\n 1109→\t\t\t\t\tif m.Name == metric {\n 1110→\t\t\t\t\t\tif m.Peak > peak {\n 1111→\t\t\t\t\t\t\tpeak = m.Peak\n 1112→\t\t\t\t\t\t}\n 1113→\t\t\t\t\t\tif unit == \"\" {\n 1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1115→\t\t\t\t\t\t}\n 1116→\t\t\t\t\t}\n 1117→\t\t\t\t}\n 1118→\t\t\t}\n 1119→\t\t}\n 1120→\n 1121→\t\t// Make and fill bins\n 1122→\t\tpeakBin := int(peak) / *bins\n 1123→\n 1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1125→\t\tfor b := 0; b < *bins; b++ {\n 1126→\t\t\tcount := 0\n 1127→\t\t\tbindex := b + 1\n 1128→\t\t\tbmin := peakBin * b\n 1129→\t\t\tbmax := peakBin * (b + 1)\n 1130→\n 1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1132→\t\t\tfor _, val := range avgs[idx] {\n 1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1134→\t\t\t\t\tcount += 1\n 1135→\t\t\t\t}\n 1136→\t\t\t}\n 1137→\n 1138→\t\t\t// Append Bin to Metric Result Array\n 1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1140→\t\t\tpoints = append(points, &point)\n 1141→\t\t}\n 1142→\n 1143→\t\t// Append Metric Result Array to final results array\n 1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1145→\t\tdata = append(data, &result)\n 1146→\t}\n 1147→\n 1148→\treturn data\n 1149→}\n 1150→"}]},"uuid":"dd0b639f-6949-4db5-855d-6824ea0f9458","timestamp":"2026-03-13T14:11:09.514Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"5e272231-8f96-456b-843f-3ea00519dfbf","timestamp":"2026-03-13T14:11:09.575Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5e272231-8f96-456b-843f-3ea00519dfbf","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WFwXZph4GrZ6BiX1xQZmYK","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tif len(filter.State) == 1 {\n 201→\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n 202→\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n 203→\t\t\tsingleStat := string(filter.State[0])\n 204→\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n 205→\t\t} else {\n 206→\t\t\tstates := make([]string, len(filter.State))\n 207→\t\t\tfor i, val := range filter.State {\n 208→\t\t\t\tstates[i] = string(val)\n 209→\t\t\t}\n 210→\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 211→\t\t}\n 212→\t}\n 213→\tif filter.Shared != nil {\n 214→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 215→\t}\n 216→\tif filter.Project != nil {\n 217→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 218→\t}\n 219→\tif filter.User != nil {\n 220→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 221→\t}\n 222→\tif filter.NumNodes != nil {\n 223→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 224→\t}\n 225→\tif filter.NumAccelerators != nil {\n 226→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 227→\t}\n 228→\tif filter.NumHWThreads != nil {\n 229→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 230→\t}\n 231→\tif filter.ArrayJobID != nil {\n 232→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 233→\t}\n 234→\tif filter.StartTime != nil {\n 235→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 236→\t}\n 237→\tif filter.Duration != nil {\n 238→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 239→\t}\n 240→\tif filter.Energy != nil {\n 241→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 242→\t}\n 243→\t// Indices on Tag Table\n 244→\tif filter.Tags != nil {\n 245→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 246→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 247→\t}\n 248→\t// No explicit Indices\n 249→\tif filter.JobID != nil {\n 250→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 251→\t}\n 252→\t// Queries Within JSONs\n 253→\tif filter.MetricStats != nil {\n 254→\t\tfor _, ms := range filter.MetricStats {\n 255→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 256→\t\t}\n 257→\t}\n 258→\tif filter.Node != nil {\n 259→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 260→\t}\n 261→\tif filter.JobName != nil {\n 262→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 263→\t}\n 264→\tif filter.Schedule != nil {\n 265→\t\tinteractiveJobname := \"interactive\"\n 266→\t\tswitch *filter.Schedule {\n 267→\t\tcase \"interactive\":\n 268→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 269→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 270→\t\tcase \"batch\":\n 271→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 272→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 273→\t\t}\n 274→\t}\n 275→\n 276→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 277→\tif filter.MinRunningFor != nil {\n 278→\t\tnow := time.Now().Unix()\n 279→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 280→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 281→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 282→\t}\n 283→\treturn query\n 284→}\n 285→\n 286→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 287→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 288→\tif cond.From != 1 && cond.To != 0 {\n 289→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 290→\t} else if cond.From != 1 && cond.To == 0 {\n 291→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 292→\t} else if cond.From == 1 && cond.To != 0 {\n 293→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 294→\t} else {\n 295→\t\treturn query\n 296→\t}\n 297→}\n 298→\n 299→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 300→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 301→\tif cond.From != 1.0 && cond.To != 0.0 {\n 302→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 303→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 304→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 305→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 306→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 307→\t} else {\n 308→\t\treturn query\n 309→\t}\n 310→}\n 311→\n 312→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 313→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 314→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 315→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 316→\tif cond.From != nil && cond.To != nil {\n 317→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 318→\t} else if cond.From != nil {\n 319→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 320→\t} else if cond.To != nil {\n 321→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 322→\t} else if cond.Range != \"\" {\n 323→\t\tnow := time.Now().Unix()\n 324→\t\tvar then int64\n 325→\t\tswitch cond.Range {\n 326→\t\tcase \"last6h\":\n 327→\t\t\tthen = now - (60 * 60 * 6)\n 328→\t\tcase \"last24h\":\n 329→\t\t\tthen = now - (60 * 60 * 24)\n 330→\t\tcase \"last7d\":\n 331→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 332→\t\tcase \"last30d\":\n 333→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 334→\t\tdefault:\n 335→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 336→\t\t\treturn query\n 337→\t\t}\n 338→\t\treturn query.Where(field+\" >= ?\", then)\n 339→\t} else {\n 340→\t\treturn query\n 341→\t}\n 342→}\n 343→\n 344→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 345→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 346→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 347→\tif cond.From != 1.0 && cond.To != 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 349→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 350→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 351→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 352→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 353→\t} else {\n 354→\t\treturn query\n 355→\t}\n 356→}\n 357→\n 358→// buildStringCondition creates filters for string fields supporting equality,\n 359→// inequality, prefix, suffix, substring, and IN list matching.\n 360→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 361→\tif cond.Eq != nil {\n 362→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 363→\t}\n 364→\tif cond.Neq != nil {\n 365→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 366→\t}\n 367→\tif cond.StartsWith != nil {\n 368→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 369→\t}\n 370→\tif cond.EndsWith != nil {\n 371→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 372→\t}\n 373→\tif cond.Contains != nil {\n 374→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 375→\t}\n 376→\tif cond.In != nil {\n 377→\t\tqueryElements := make([]string, len(cond.In))\n 378→\t\tcopy(queryElements, cond.In)\n 379→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 380→\t}\n 381→\treturn query\n 382→}\n 383→\n 384→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 385→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 386→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 387→\tif cond.Eq != nil {\n 388→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 389→\t}\n 390→\tif cond.Neq != nil {\n 391→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 392→\t}\n 393→\tif cond.StartsWith != nil {\n 394→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 395→\t}\n 396→\tif cond.EndsWith != nil {\n 397→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 398→\t}\n 399→\tif cond.Contains != nil {\n 400→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 401→\t}\n 402→\treturn query\n 403→}\n 404→\n 405→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 406→// Uses json_each to search within array elements.\n 407→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 408→\tquery = query.Where(\"JSON_VALID(resources)\")\n 409→\tif cond.Eq != nil {\n 410→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 411→\t}\n 412→\tif cond.Neq != nil { // Currently Unused\n 413→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 414→\t}\n 415→\tif cond.StartsWith != nil { // Currently Unused\n 416→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 417→\t}\n 418→\tif cond.EndsWith != nil { // Currently Unused\n 419→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 420→\t}\n 421→\tif cond.Contains != nil {\n 422→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 423→\t}\n 424→\treturn query\n 425→}\n 426→\n 427→var (\n 428→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 429→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 430→)\n 431→\n 432→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 433→// Includes security checks to prevent SQL injection attempts.\n 434→// Panics if potentially dangerous characters are detected.\n 435→func toSnakeCase(str string) string {\n 436→\tfor _, c := range str {\n 437→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 438→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 439→\t\t}\n 440→\t}\n 441→\n 442→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 443→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 444→\treturn strings.ToLower(snake)\n 445→}\n 446→"}]},"uuid":"b51ae835-87b1-4eb2-a538-fccddaec12df","timestamp":"2026-03-13T14:11:09.347Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"016af23b-9293-4b33-81b2-287a8e5b408f","timestamp":"2026-03-13T14:11:09.576Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"939a2696-b97a-4b6a-abf9-d5285b66653a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X9F3YaGF9o8Ujnkz4pWCH9","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/889ef150-c6ca-4f35-81e5-c19dc95fe399/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"17f0f64f-0891-48a3-94b8-7930d3ed96fb","timestamp":"2026-03-13T14:11:09.796Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"5c9114de-0408-440c-80b8-a10a3384e92c","timestamp":"2026-03-13T14:11:09.799Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5c9114de-0408-440c-80b8-a10a3384e92c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:09.799Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Fhfb93Fhobxx5SVNqmGBrG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019zZLoPC9GPMR4LVYfm78mD","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":869,"cache_read_input_tokens":17392,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DPZA5cvSxMGtyDmgvH","uuid":"5ae01326-7a22-470d-abb0-b29f19a27835"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a272b4ea-9d3e-418f-b098-e45c8c7d263a","timestamp":"2026-03-13T14:11:09.799Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a272b4ea-9d3e-418f-b098-e45c8c7d263a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019zZLoPC9GPMR4LVYfm78mD","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→"}]},"uuid":"208e9674-2c54-4170-a0df-e976f24b2dd3","timestamp":"2026-03-13T14:11:09.812Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a1e1ee7b-7dfb-4e17-bb5d-c1cac3e716a1","timestamp":"2026-03-13T14:11:09.981Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a1e1ee7b-7dfb-4e17-bb5d-c1cac3e716a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:10.001Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Fhfb93Fhobxx5SVNqmGBrG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A3ib8hMenZRABoGGvobf7k","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":869,"cache_read_input_tokens":17392,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DPZA5cvSxMGtyDmgvH","uuid":"13f69735-0ab2-4365-94c0-d8ea10c81d44"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"93c5bcd0-f24a-4705-857c-15bca8910681","timestamp":"2026-03-13T14:11:10.002Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"93c5bcd0-f24a-4705-857c-15bca8910681","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A3ib8hMenZRABoGGvobf7k","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"5b596ba1-32f5-456c-9283-84c772345ab6","timestamp":"2026-03-13T14:11:10.005Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"13f7ed9e-592d-4462-899b-045e7a88c3a5","timestamp":"2026-03-13T14:11:10.007Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"c54541fe-b8df-4009-ba27-f3cf101f2e6a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YSUsYeEVVPftAf54wRbPar","type":"tool_result","content":"96-//\n97-/ The kind parameter enables counting specific job categories:\n98:// - \"running\": Only jobs with job_state = 'running'\n99-/ - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n100-/ - empty: All jobs matching filters\n--\n114-\tswitch kind {\n115-\tcase \"running\":\n116:\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n117-\tcase \"short\":\n118-\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n--\n146-\t\treturn reqFields == nil || reqFields[field]\n147-\t}\n148:\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n149-\n150-\t// Build column list\n--\n206-\n207-\tif need(\"runningJobs\") {\n208:\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n209-\t} else {\n210-\t\tcolumns = append(columns, \"0 as runningJobs\")\n--\n645-\tg, gctx := errgroup.WithContext(ctx)\n646-\n647:\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n648-\n649-\tg.Go(func() error {"}]},"uuid":"c1e34ce6-68a7-4a7c-b470-42aefabf2a56","timestamp":"2026-03-13T14:11:12.366Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"6e7e6f6f-2b8e-4747-b182-f636138220bb","timestamp":"2026-03-13T14:11:12.522Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"d08e6460-130f-4c09-9476-a6dca6dae2e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014ryNAkGhdtC1MnwpTadLyu","type":"tool_result","content":"199-\tif filter.State != nil {\n200-\t\tif len(filter.State) == 1 {\n201:\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n202-\t\t\t/ Safe: values come from validated GraphQL enum (model.JobState).\n203-\t\t\tsingleStat := string(filter.State[0])\n204:\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n205-\t\t} else {\n206-\t\t\tstates := make([]string, len(filter.State))\n--\n208-\t\t\t\tstates[i] = string(val)\n209-\t\t\t}\n210:\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n211-\t\t}\n212-\t}"}]},"uuid":"19f8f6f8-b48d-4e5c-8b28-ccfd433578b7","timestamp":"2026-03-13T14:11:12.777Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"27e63fd8-d055-4a25-9f3a-b306dfc9dbcc","timestamp":"2026-03-13T14:11:12.947Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"71c682e8-b0ca-459d-a64c-b6eb651c7df9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D1ZZpevMFkv2QdourhvYiu","type":"tool_result","content":" 650→\t}\n 651→\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n 652→\treturn partitions.([]string), nil\n 653→}\n 654→\n 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→// Hosts with zero jobs running on them will not show up!\n 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→\tstart := time.Now()\n 659→\tsubclusters := make(map[string]map[string]int)\n 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→\t\t}\n 683→\n 684→\t\thosts, ok := subclusters[subcluster]\n 685→\t\tif !ok {\n 686→\t\t\thosts = make(map[string]int)\n 687→\t\t\tsubclusters[subcluster] = hosts\n 688→\t\t}\n 689→\n 690→\t\tfor _, resource := range resources {\n 691→\t\t\thosts[resource.Hostname] += 1\n 692→\t\t}\n 693→\t}\n 694→\n 695→\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n 696→\treturn subclusters, nil\n 697→}\n 698→\n 699→// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally 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sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {"}]},"uuid":"a537c474-390f-40dc-8a0c-23c77f2dc65f","timestamp":"2026-03-13T14:11:30.365Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a05ba4c8-605c-4216-8e7e-ee658720d43a","timestamp":"2026-03-13T14:11:30.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"76aafb68-f966-421a-ab8d-7f5131da7e79","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WsidkZ8Zwnh45fE2jsg49t","type":"tool_result","content":" 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {"}]},"uuid":"ee8da5df-cc13-4034-b4c0-086f87d6f70d","timestamp":"2026-03-13T14:11:30.584Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"ba3c4f26-3e95-4f0f-9c94-86b88127cd50","timestamp":"2026-03-13T14:11:30.770Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ba3c4f26-3e95-4f0f-9c94-86b88127cd50","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:30.986Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016EzxEsAxyAkYY3CRF3BudW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":775,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"2ee8932e-e136-4653-9a5a-408e61da6dac"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"9b9a26dc-4c69-4070-915b-bab0588b2ed7","timestamp":"2026-03-13T14:11:30.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"9b9a26dc-4c69-4070-915b-bab0588b2ed7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016EzxEsAxyAkYY3CRF3BudW","type":"tool_result","content":" 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {"}]},"uuid":"2366f563-e3f2-42c4-9d48-4282e834f53a","timestamp":"2026-03-13T14:11:31.004Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"2c4e7d36-5198-4631-8626-f08cb8dfca0a","timestamp":"2026-03-13T14:11:31.193Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2c4e7d36-5198-4631-8626-f08cb8dfca0a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:31.427Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L5C3J4gfQiFcBcFeRgNAtZ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":810,"limit":70},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"d6ffe93e-d138-4cb4-9d21-a2fcd10c7f89"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"850e46fa-3d6a-4dd5-a2d2-69d800b7f46d","timestamp":"2026-03-13T14:11:31.427Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"850e46fa-3d6a-4dd5-a2d2-69d800b7f46d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L5C3J4gfQiFcBcFeRgNAtZ","type":"tool_result","content":" 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {\n 855→\tcase \"all\":\n 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→\tcase \"user\":\n 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→\t}\n 860→\n 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→\n 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→\tif err != nil {\n 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→\t}\n 868→\tdefer rows.Close()\n 869→\n 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→\tfor rows.Next() {\n 872→\t\tjob, err := scanJob(rows)\n 873→\t\tif err != nil {\n 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→\t\t}\n 877→\t\tjobs = append(jobs, job)\n 878→\t}\n 879→"}]},"uuid":"2ce8a2c7-bb58-43e8-8783-3734a983376e","timestamp":"2026-03-13T14:11:31.433Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"7ef1ae30-b504-4797-9a83-dc5ddfb6d5b2","timestamp":"2026-03-13T14:11:31.434Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7ef1ae30-b504-4797-9a83-dc5ddfb6d5b2","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:31.602Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SHLuweraH1NnZkZs9RJyoR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":1060,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"0f27e56d-9795-4f54-bc99-8889a875b91e"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"b9e03118-b10e-4c53-acd9-bf6e330530a0","timestamp":"2026-03-13T14:11:31.603Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b9e03118-b10e-4c53-acd9-bf6e330530a0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SHLuweraH1NnZkZs9RJyoR","type":"tool_result","content":" 1060→//\n 1061→// The timestamp parameter (ts) is compared against job.start_time to find\n 1062→// relevant jobs. Returns an error if the database query fails or row iteration\n 1063→// encounters errors. Individual row parsing errors are logged but don't fail\n 1064→// the entire operation.\n 1065→func (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n 1066→\t// Note: Query expects index on (job_state, start_time) for optimal performance\n 1067→\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n 1068→\t\tWhere(\"job.start_time < ?\", ts).\n 1069→\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n 1070→\n 1071→\trows, err := q.RunWith(r.stmtCache).Query()\n 1072→\tif err != nil {\n 1073→\t\tqueryString, queryVars, _ := q.ToSql()\n 1074→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 1075→\t}\n 1076→\tdefer rows.Close()\n 1077→\n 1078→\t// Use a map of sets for efficient deduplication\n 1079→\tnodeSet := make(map[string]map[string]struct{})\n 1080→\n 1081→\tvar (\n 1082→\t\tcluster string\n 1083→\t\trawResources []byte\n 1084→\t\tresources []*schema.Resource\n 1085→\t\tskippedRows int\n 1086→\t)\n 1087→\n 1088→\tfor rows.Next() {\n 1089→\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {"}]},"uuid":"90f85031-94bc-4a0f-8bfd-bb4eff8fbea6","timestamp":"2026-03-13T14:11:31.611Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"dc75125c-f284-40fb-bdd1-a3360661db17","timestamp":"2026-03-13T14:11:31.631Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"dc75125c-f284-40fb-bdd1-a3360661db17","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","toolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","timestamp":"2026-03-13T14:11:58.098Z","uuid":"b2eb28ab-8b07-4fac-b449-57cb5a409c8c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EDotFfP7XFHmDSwtCzpTYi","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information. Let me compile the comprehensive report:\n\n## Summary of `job_state` SQL Query Usage\n\nI've found **11 occurrences** of `job_state` in WHERE clauses across the repository layer. Here's the complete breakdown:\n\n### 1. **stats.go - Line 116** (buildCountQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:116`\n- **Function**: `buildCountQuery()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses `?` placeholder with \"running\" passed as parameter\n- **Context**: Counts jobs by kind; filters for running jobs when kind=\"running\". Used by AddJobCount, AddJobCountGrouped\n- **Source**: Validated - hardcoded constant \"running\" from switch statement\n\n### 2. **stats.go - Line 148** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:148`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `durationExpr := fmt.Sprintf(\"(CASE WHEN job.job_state = 'running' THEN ...\")`\n- **Parameterization**: NO - hardcoded literal 'running' in string\n- **Context**: Builds dynamic SQL for calculating duration. For running jobs: (now - start_time); for completed: duration field. Used in statistics aggregations\n- **Source**: Validated - hardcoded constant in comparison expression\n\n### 3. **stats.go - Line 208** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:208`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via SELECT clause\n- **Code**: `columns = append(columns, \"COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Counts running jobs as part of statistics aggregation\n- **Source**: Validated - hardcoded constant\n\n### 4. **stats.go - Line 647** (AddHistograms)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:647`\n- **Function**: `AddHistograms()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `value := fmt.Sprintf(\"CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value\"...)`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Duration histogram calculation; same as buildStatsQuery logic for running vs completed jobs\n- **Source**: Validated - hardcoded constant\n\n### 5. **jobQuery.go - Line 204** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:204`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))`\n- **Parameterization**: NO - inlined literal using fmt.Sprintf\n- **Context**: User filter for job state. When single state value requested, inlines for SQLite partial index matching. Comment explicitly notes this is safe because values come from GraphQL enum validation\n- **Source**: Validated - values from `filter.State[0]` which is model.JobState enum (validated GraphQL type)\n- **Security**: Comment at line 201-202 documents this is intentional for partial index optimization\n\n### 6. **jobQuery.go - Line 210** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:210`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `query = query.Where(sq.Eq{\"job.job_state\": states})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholders\n- **Context**: Multiple state filter (IN clause); when filter has multiple state values\n- **Source**: Validated - values from filter.State which is model.JobState enum array\n\n### 7. **jobFind.go - Line 132** (GetJobList)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:132`\n- **Function**: `GetJobList()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state != 'running'\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets list of non-running (completed) jobs for batch processing. Returns paginated IDs\n- **Source**: Validated - hardcoded constant\n\n### 8. **jobFind.go - Line 280** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:280`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `queryRunning := query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds running jobs overlapping with specified job's time range (for concurrent job analysis)\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 9. **jobFind.go - Line 285** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:285`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state != ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds completed jobs (not running) overlapping with specified job's time range\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 10. **job.go - Line 661** (AllocatedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:661`\n- **Function**: `AllocatedNodes()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets all currently allocated nodes across running jobs on a cluster\n- **Source**: Validated - hardcoded constant\n\n### 11. **job.go - Line 719** (StopJobsExceedingWalltimeBy)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:719`\n- **Function**: `StopJobsExceedingWalltimeBy()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Marks stuck/orphaned jobs as failed if they exceed walltime. Filters to only running jobs\n- **Source**: Validated - hardcoded constant\n\n### 12. **job.go - Line 784** (FindRunningJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:784`\n- **Function**: `FindRunningJobs()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Retrieves all running jobs for a cluster, filters by MinRunningJobDuration threshold\n- **Source**: Validated - hardcoded constant\n\n### 13. **job.go - Line 817** (UpdateDuration)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:817`\n- **Function**: `UpdateDuration()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job_state = 'running'\")` (note: missing \"job.\" prefix)\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Updates duration for all running jobs periodically (current_time - start_time)\n- **Source**: Validated - hardcoded constant\n- **Note**: Missing table prefix (\"job.\" is omitted)\n\n### 14. **job.go - Line 1069** (GetUsedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:1069`\n- **Function**: `GetUsedNodes()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `Where(sq.Eq{\"job.job_state\": \"running\"})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholder\n- **Context**: Gets nodes in use for running jobs before a timestamp. Comment notes performance requires index on (job_state, start_time)\n- **Source**: Validated - hardcoded constant \"running\"\n\n---\n\n## Summary Table\n\n| File | Line | Function | Parameterized | Value Source | Filter Type |\n|------|------|----------|----------------|-------------|------------|\n| stats.go | 116 | buildCountQuery | YES (?) | hardcoded \"running\" | Single known value |\n| stats.go | 148 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 208 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 647 | AddHistograms | NO (inlined) | hardcoded 'running' | Single known value |\n| jobQuery.go | 204 | BuildWhereClause | NO (fmt.Sprintf) | GraphQL enum validated | Single known value |\n| jobQuery.go | 210 | BuildWhereClause | YES (sq.Eq) | GraphQL enum validated | Multiple values |\n| jobFind.go | 132 | GetJobList | NO (inlined) | hardcoded 'running' | Single known value |\n| jobFind.go | 280 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| jobFind.go | 285 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| job.go | 661 | AllocatedNodes | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 719 | StopJobsExceedingWalltimeBy | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 784 | FindRunningJobs | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 817 | UpdateDuration | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 1069 | GetUsedNodes | YES (sq.Eq) | hardcoded \"running\" | Single known value |\n\n---\n\n## Key Findings\n\n1. **No user input flows directly into job_state filters** - All values come from either hardcoded constants or validated GraphQL enums\n2. **Mixed parameterization approach** - 5 use parameterized queries (Squirrel with ?), 9 use inlined literals\n3. **Intentional inlining in jobQuery.go:204** - Comment documents this is safe for SQLite partial index optimization\n4. **Consistent \"running\" state usage** - Almost all filters target the hardcoded \"running\" state for specific queries\n5. **One minor issue in job.go:817** - Missing \"job.\" table prefix in UpdateDuration query (though still safe as it's unambiguous)"},{"type":"text","text":"agentId: a7c36c0986477581c (for resuming to continue this agent's work if needed)\ntotal_tokens: 66263\ntool_uses: 17\nduration_ms: 53390"}]}]},"uuid":"eab5e799-0172-4a96-ad80-8a9ebe391648","timestamp":"2026-03-13T14:11:58.097Z","toolUseResult":{"status":"completed","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files.","agentId":"a7c36c0986477581c","content":[{"type":"text","text":"Perfect! Now I have all the information. Let me compile the comprehensive report:\n\n## Summary of `job_state` SQL Query Usage\n\nI've found **11 occurrences** of `job_state` in WHERE clauses across the repository layer. Here's the complete breakdown:\n\n### 1. **stats.go - Line 116** (buildCountQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:116`\n- **Function**: `buildCountQuery()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses `?` placeholder with \"running\" passed as parameter\n- **Context**: Counts jobs by kind; filters for running jobs when kind=\"running\". Used by AddJobCount, AddJobCountGrouped\n- **Source**: Validated - hardcoded constant \"running\" from switch statement\n\n### 2. **stats.go - Line 148** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:148`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `durationExpr := fmt.Sprintf(\"(CASE WHEN job.job_state = 'running' THEN ...\")`\n- **Parameterization**: NO - hardcoded literal 'running' in string\n- **Context**: Builds dynamic SQL for calculating duration. For running jobs: (now - start_time); for completed: duration field. Used in statistics aggregations\n- **Source**: Validated - hardcoded constant in comparison expression\n\n### 3. **stats.go - Line 208** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:208`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via SELECT clause\n- **Code**: `columns = append(columns, \"COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Counts running jobs as part of statistics aggregation\n- **Source**: Validated - hardcoded constant\n\n### 4. **stats.go - Line 647** (AddHistograms)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:647`\n- **Function**: `AddHistograms()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `value := fmt.Sprintf(\"CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value\"...)`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Duration histogram calculation; same as buildStatsQuery logic for running vs completed jobs\n- **Source**: Validated - hardcoded constant\n\n### 5. **jobQuery.go - Line 204** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:204`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))`\n- **Parameterization**: NO - inlined literal using fmt.Sprintf\n- **Context**: User filter for job state. When single state value requested, inlines for SQLite partial index matching. Comment explicitly notes this is safe because values come from GraphQL enum validation\n- **Source**: Validated - values from `filter.State[0]` which is model.JobState enum (validated GraphQL type)\n- **Security**: Comment at line 201-202 documents this is intentional for partial index optimization\n\n### 6. **jobQuery.go - Line 210** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:210`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `query = query.Where(sq.Eq{\"job.job_state\": states})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholders\n- **Context**: Multiple state filter (IN clause); when filter has multiple state values\n- **Source**: Validated - values from filter.State which is model.JobState enum array\n\n### 7. **jobFind.go - Line 132** (GetJobList)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:132`\n- **Function**: `GetJobList()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state != 'running'\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets list of non-running (completed) jobs for batch processing. Returns paginated IDs\n- **Source**: Validated - hardcoded constant\n\n### 8. **jobFind.go - Line 280** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:280`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `queryRunning := query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds running jobs overlapping with specified job's time range (for concurrent job analysis)\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 9. **jobFind.go - Line 285** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:285`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state != ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds completed jobs (not running) overlapping with specified job's time range\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 10. **job.go - Line 661** (AllocatedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:661`\n- **Function**: `AllocatedNodes()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets all currently allocated nodes across running jobs on a cluster\n- **Source**: Validated - hardcoded constant\n\n### 11. **job.go - Line 719** (StopJobsExceedingWalltimeBy)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:719`\n- **Function**: `StopJobsExceedingWalltimeBy()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Marks stuck/orphaned jobs as failed if they exceed walltime. Filters to only running jobs\n- **Source**: Validated - hardcoded constant\n\n### 12. **job.go - Line 784** (FindRunningJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:784`\n- **Function**: `FindRunningJobs()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Retrieves all running jobs for a cluster, filters by MinRunningJobDuration threshold\n- **Source**: Validated - hardcoded constant\n\n### 13. **job.go - Line 817** (UpdateDuration)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:817`\n- **Function**: `UpdateDuration()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job_state = 'running'\")` (note: missing \"job.\" prefix)\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Updates duration for all running jobs periodically (current_time - start_time)\n- **Source**: Validated - hardcoded constant\n- **Note**: Missing table prefix (\"job.\" is omitted)\n\n### 14. **job.go - Line 1069** (GetUsedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:1069`\n- **Function**: `GetUsedNodes()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `Where(sq.Eq{\"job.job_state\": \"running\"})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholder\n- **Context**: Gets nodes in use for running jobs before a timestamp. Comment notes performance requires index on (job_state, start_time)\n- **Source**: Validated - hardcoded constant \"running\"\n\n---\n\n## Summary Table\n\n| File | Line | Function | Parameterized | Value Source | Filter Type |\n|------|------|----------|----------------|-------------|------------|\n| stats.go | 116 | buildCountQuery | YES (?) | hardcoded \"running\" | Single known value |\n| stats.go | 148 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 208 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 647 | AddHistograms | NO (inlined) | hardcoded 'running' | Single known value |\n| jobQuery.go | 204 | BuildWhereClause | NO (fmt.Sprintf) | GraphQL enum validated | Single known value |\n| jobQuery.go | 210 | BuildWhereClause | YES (sq.Eq) | GraphQL enum validated | Multiple values |\n| jobFind.go | 132 | GetJobList | NO (inlined) | hardcoded 'running' | Single known value |\n| jobFind.go | 280 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| jobFind.go | 285 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| job.go | 661 | AllocatedNodes | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 719 | StopJobsExceedingWalltimeBy | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 784 | FindRunningJobs | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 817 | UpdateDuration | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 1069 | GetUsedNodes | YES (sq.Eq) | hardcoded \"running\" | Single known value |\n\n---\n\n## Key Findings\n\n1. **No user input flows directly into job_state filters** - All values come from either hardcoded constants or validated GraphQL enums\n2. **Mixed parameterization approach** - 5 use parameterized queries (Squirrel with ?), 9 use inlined literals\n3. **Intentional inlining in jobQuery.go:204** - Comment documents this is safe for SQLite partial index optimization\n4. **Consistent \"running\" state usage** - Almost all filters target the hardcoded \"running\" state for specific queries\n5. **One minor issue in job.go:817** - Missing \"job.\" table prefix in UpdateDuration query (though still safe as it's unambiguous)"}],"totalDurationMs":53390,"totalTokens":66263,"totalToolUseCount":17,"usage":{"input_tokens":5,"cache_creation_input_tokens":9264,"cache_read_input_tokens":53822,"output_tokens":3172,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":9264},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"eab5e799-0172-4a96-ad80-8a9ebe391648","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LunFsBm6KQMnHbRchWL5Qj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016KHumoJ75SUh7X9K1dBwVa","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/recursive-giggling-volcano.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3603,"cache_read_input_tokens":96447,"output_tokens":69,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3603},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DTLFJVo71xZC2C7HHC","type":"assistant","uuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","timestamp":"2026-03-13T14:12:02.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_016KHumoJ75SUh7X9K1dBwVa","toolUseID":"toolu_016KHumoJ75SUh7X9K1dBwVa","timestamp":"2026-03-13T14:12:02.443Z","uuid":"cd5ff376-d254-40fb-8a96-f6c329a0d77d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016KHumoJ75SUh7X9K1dBwVa","type":"tool_result","content":" 1→# Usage Dashboard Query Optimization\n 2→\n 3→## Change 1: Partial indexes for running jobs\n 4→\n 5→- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n 6→- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n 7→- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n 8→- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n 9→\n 10→## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n 11→\n 12→- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n 13→- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n 14→- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n 15→\n 16→## Change 3: Parallelize histogram queries\n 17→\n 18→- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n 19→\n 20→## Change 4: Frontend uses consolidated results\n 21→\n 22→- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n 23→\n 24→## Verification\n 25→```bash\n 26→cd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n 27→```\n 28→"}]},"uuid":"c7e28a29-2dbd-47c9-bb33-66828a28b0a1","timestamp":"2026-03-13T14:12:02.442Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n","numLines":28,"startLine":1,"totalLines":28}},"sourceToolAssistantUUID":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"c7e28a29-2dbd-47c9-bb33-66828a28b0a1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TZ5r3uFwnQk5WH4h6DjiNV","type":"message","role":"assistant","content":[{"type":"text","text":"The exploration found **4 parameterized sites** that filter on a hardcoded `\"running\"` value where inlining could help SQLite use the partial indexes:\n\n| File | Line | Function | Currently |\n|------|------|----------|-----------|\n| `stats.go` | 116 | `buildCountQuery` | `\"job.job_state = ?\", \"running\"` |\n| `jobFind.go` | 280 | `FindConcurrentJobs` | `\"job.job_state = ?\", \"running\"` |\n| `jobFind.go` | 285 | `FindConcurrentJobs` | `\"job.job_state != ?\", \"running\"` |\n| `job.go` | 1069 | `GetUsedNodes` | `sq.Eq{\"job.job_state\": \"running\"}` |\n\nHowever, the benefit is uneven:\n\n- **`stats.go:116` (`buildCountQuery`)** — this is the strongest candidate. It's called by `AddJobCount`/`AddJobCountGrouped` on the dashboard. Inlining here lets SQLite use the partial indexes we just created.\n- **`job.go:1069` (`GetUsedNodes`)** — also queries running jobs, could benefit.\n- **`jobFind.go:280/285` (`FindConcurrentJobs`)** — these query by specific resources/time overlap, so the partial index is less likely to be chosen by the planner (the equality on `job_state` isn't the leading selectivity driver).\n\nThe remaining 8 sites already use inlined literals (`'running'` directly in SQL strings), so they're fine."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4375,"cache_read_input_tokens":96447,"cache_creation":{"ephemeral_5m_input_tokens":4375,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DTd3r1FoaFXoLinP98","type":"assistant","uuid":"b483fbdc-1d1b-4602-9cad-0e2962d9bc73","timestamp":"2026-03-13T14:12:13.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"973ed897-bf9f-44d8-9d47-1cb82259cfee","snapshot":{"messageId":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":"39f0a8ec00eef836@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":"cccfd468ffeeb12d@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/stats_cache.go":{"backupFileName":"192476250d06317a@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v3","version":3,"backupTime":"2026-03-13T14:10:52.135Z"},"/Users/jan/.claude/plans/recursive-giggling-volcano.md":{"backupFileName":"199cf438c5ea258b@v1","version":1,"backupTime":"2026-03-13T14:12:20.753Z"}},"timestamp":"2026-03-13T14:10:52.134Z"},"isSnapshotUpdate":true} +{"parentUuid":"b483fbdc-1d1b-4602-9cad-0e2962d9bc73","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TZ5r3uFwnQk5WH4h6DjiNV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PNU1pDvBtV95Wihx8mcR3j","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4375,"cache_read_input_tokens":96447,"output_tokens":730,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4375},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DTd3r1FoaFXoLinP98","type":"assistant","uuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","timestamp":"2026-03-13T14:12:20.734Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01PNU1pDvBtV95Wihx8mcR3j","toolUseID":"toolu_01PNU1pDvBtV95Wihx8mcR3j","timestamp":"2026-03-13T14:12:20.755Z","uuid":"17905a2f-c9b5-42e4-aacd-26361f2d8016","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PNU1pDvBtV95Wihx8mcR3j","type":"tool_result","content":"The file /Users/jan/.claude/plans/recursive-giggling-volcano.md has been updated successfully."}]},"uuid":"9ea40fde-6dd4-40db-93fe-93da8108dea8","timestamp":"2026-03-13T14:12:20.755Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":27,"newStart":1,"newLines":15,"lines":["-# Usage Dashboard Query Optimization","+# Inline literal job_state in remaining parameterized sites"," ","-## Change 1: Partial indexes for running jobs","+## Files to change"," ","-- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).","-- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.","-- **`internal/repository/migration.go:30`** — `Version` 13 → 14.","-- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.","+- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.","+- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries."," ","-## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)","+## Sites intentionally NOT changed"," ","-- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.","-- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.","-- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.","+- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes."," ","-## Change 3: Parallelize histogram queries","-","-- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.","-","-## Change 4: Frontend uses consolidated results","-","-- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.","-"," ## Verification"," ```bash","-cd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...","+go build ./cmd/cc-backend && go test ./internal/repository/..."," ```"]}],"originalFile":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n"},"sourceToolAssistantUUID":"973ed897-bf9f-44d8-9d47-1cb82259cfee","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"9ea40fde-6dd4-40db-93fe-93da8108dea8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01T3cYcrekCEuvzBETEhvwHr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AazoB8xaDjcSwza2zwYCTM","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":858,"cache_read_input_tokens":100822,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":858},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DUyMWZfVvZUguAnV6q","type":"assistant","uuid":"4c97e2e6-af79-4e5b-b9dc-7c1920099f8a","timestamp":"2026-03-13T14:12:23.857Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4c97e2e6-af79-4e5b-b9dc-7c1920099f8a","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01AazoB8xaDjcSwza2zwYCTM","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"74b4c0a0-9cc0-4eac-93f3-fab5817d892f","timestamp":"2026-03-13T14:12:23.861Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"4c97e2e6-af79-4e5b-b9dc-7c1920099f8a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"74b4c0a0-9cc0-4eac-93f3-fab5817d892f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DamyN6aYnAQsSoC3owkXcA","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nTwo sites worth inlining (`stats.go:116` and `job.go:1069`), one intentionally skipped (`jobFind.go` — `!=` doesn't match partial indexes, and time overlap dominates selectivity there)."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":847,"cache_read_input_tokens":101680,"cache_creation":{"ephemeral_5m_input_tokens":847,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DVCivmtJg9s3QZDwFb","type":"assistant","uuid":"2ba705b1-19d3-45f2-b95d-b8ef79d6a571","timestamp":"2026-03-13T14:12:27.795Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2ba705b1-19d3-45f2-b95d-b8ef79d6a571","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01DamyN6aYnAQsSoC3owkXcA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WXkFvn96DGpxvLirXjDoyQ","name":"ExitPlanMode","input":{"plan":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":847,"cache_read_input_tokens":101680,"output_tokens":93,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":847},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DVCivmtJg9s3QZDwFb","type":"assistant","uuid":"57e16369-4d3f-448d-a795-88a884d5bbc0","timestamp":"2026-03-13T14:12:27.819Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"57e16369-4d3f-448d-a795-88a884d5bbc0","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. 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You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"444f450a-7540-4122-aa75-ce545293a263","timestamp":"2026-03-13T16:11:43.436Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql","content":"-- Migration 13: Add covering indexes for status/dashboard queries\n-- Column order: cluster (equality), job_state (equality), grouping col, then aggregated columns\n-- These indexes allow the status views to be served entirely from index scans.\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\n-- Drop 3-col indexes that are now subsumed by the covering indexes above\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n\nPRAGMA optimize;\n","numLines":19,"startLine":1,"totalLines":19}},"sourceToolAssistantUUID":"af081522-0abe-4ffb-8cb4-3d6f7af92f0c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"444f450a-7540-4122-aa75-ce545293a263","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01BMniyJ2hHYwWCrQqYMs7bT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DbhSnMGdxMPjvgjZBaCzau","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":13374,"cache_read_input_tokens":6445,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":13374},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1NaXu2cXTGsfMmWtpn5","type":"assistant","uuid":"1a03b73b-8c6a-47a9-ae2b-03f044cfff7f","timestamp":"2026-03-13T16:11:43.590Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"1a03b73b-8c6a-47a9-ae2b-03f044cfff7f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01DbhSnMGdxMPjvgjZBaCzau","toolUseID":"toolu_01DbhSnMGdxMPjvgjZBaCzau","timestamp":"2026-03-13T16:11:43.593Z","uuid":"78b44936-35cf-4717-9380-57618164d034","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"1a03b73b-8c6a-47a9-ae2b-03f044cfff7f","isSidechain":false,"promptId":"14117c26-27b3-4724-bf43-14989ae1da46","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DbhSnMGdxMPjvgjZBaCzau","type":"tool_result","content":" 1→-- Migration 14: Partial covering indexes for running jobs\n 2→-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n 3→-- the full-table indexes from migration 13. SQLite uses them when the query\n 4→-- contains the literal `job_state = 'running'` (not a parameter placeholder).\n 5→\n 6→CREATE INDEX IF NOT EXISTS jobs_running_user_stats\n 7→ ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n 8→ WHERE job_state = 'running';\n 9→\n 10→CREATE INDEX IF NOT EXISTS jobs_running_project_stats\n 11→ ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n 12→ WHERE job_state = 'running';\n 13→\n 14→CREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n 15→ ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n 16→ WHERE job_state = 'running';\n 17→\n 18→PRAGMA optimize;\n 19→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"2bb36c81-19cf-4701-a887-1cf11cf071b6","timestamp":"2026-03-13T16:11:43.593Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql","content":"-- Migration 14: Partial covering indexes for running jobs\n-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n-- the full-table indexes from migration 13. SQLite uses them when the query\n-- contains the literal `job_state = 'running'` (not a parameter placeholder).\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA optimize;\n","numLines":19,"startLine":1,"totalLines":19}},"sourceToolAssistantUUID":"1a03b73b-8c6a-47a9-ae2b-03f044cfff7f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} 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+{"parentUuid":"a701f627-5e1d-4f3a-a8f7-9d34289495d5","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01HQ7zsURTJqXfjnVbY484Vn","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me read the down files and migration.go."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2399,"cache_read_input_tokens":19819,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2399},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1Nazn3bNqrTphncFjbi","type":"assistant","uuid":"0d3b580c-a637-45df-80d7-63eaf33c2047","timestamp":"2026-03-13T16:11:46.592Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} 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+{"parentUuid":"675b77af-1dcc-445a-945b-e1e3c2721402","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EJNKNqg6a6cYRxN2rQ4fD1","toolUseID":"toolu_01EJNKNqg6a6cYRxN2rQ4fD1","timestamp":"2026-03-13T16:11:47.805Z","uuid":"8af6356f-4e87-4a83-b0b8-2509938f56a7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"675b77af-1dcc-445a-945b-e1e3c2721402","isSidechain":false,"promptId":"14117c26-27b3-4724-bf43-14989ae1da46","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EJNKNqg6a6cYRxN2rQ4fD1","type":"tool_result","content":" 1→-- Migration 11 DOWN: Restore indexes from migration 09\n 2→\n 3→-- ============================================================\n 4→-- Recreate all removed indexes from migration 09\n 5→-- ============================================================\n 6→\n 7→-- Cluster+Partition Filter Sorting\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 9→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 10→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 12→\n 13→-- Cluster+JobState Filter Sorting\n 14→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 15→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 16→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 17→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 18→\n 19→-- Cluster+Shared Filter Sorting\n 20→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\n 21→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\n 22→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\n 23→CREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n 24→\n 25→-- User Filter Sorting\n 26→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 27→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 28→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 29→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 30→\n 31→-- Project Filter Sorting\n 32→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 33→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 34→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 35→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 36→\n 37→-- JobState Filter Sorting\n 38→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 39→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 40→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 41→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 42→\n 43→-- Shared Filter Sorting\n 44→CREATE INDEX IF NOT EXISTS jobs_shared_numnodes ON job (shared, num_nodes);\n 45→CREATE INDEX IF NOT EXISTS jobs_shared_numhwthreads ON job (shared, num_hwthreads);\n 46→CREATE INDEX IF NOT EXISTS jobs_shared_numacc ON job (shared, num_acc);\n 47→CREATE INDEX IF NOT EXISTS jobs_shared_energy ON job (shared, energy);\n 48→\n 49→-- ArrayJob Filter\n 50→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 51→\n 52→-- Backup Indices For High Variety Columns\n 53→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 54→\n 55→-- Optimize DB index usage\n 56→PRAGMA optimize;\n 57→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"5b0ccded-3898-4b11-8143-1b72db180107","timestamp":"2026-03-13T16:11:47.804Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.down.sql","content":"-- Migration 11 DOWN: Restore indexes from migration 09\n\n-- ============================================================\n-- Recreate all removed indexes from migration 09\n-- ============================================================\n\n-- Cluster+Partition Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n\n-- Cluster+JobState Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n\n-- Cluster+Shared Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numnodes ON job (cluster, shared, num_nodes);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numhwthreads ON job (cluster, shared, num_hwthreads);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_numacc ON job (cluster, shared, num_acc);\nCREATE INDEX IF NOT EXISTS jobs_cluster_shared_energy ON job (cluster, shared, energy);\n\n-- User Filter Sorting\nCREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)\n 25→// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n 26→// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n 27→// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n 28→// - Version 10: Node table\n 29→//\n 30→// Migration files are embedded at build time from the migrations directory.\n 31→const Version uint = 14\n 32→\n 33→//go:embed migrations/*\n 34→var migrationFiles embed.FS\n 35→\n 36→// checkDBVersion verifies that the database schema version matches the expected version.\n 37→// This is called automatically during Connect() to ensure schema compatibility.\n 38→//\n 39→// Returns an error if:\n 40→// - Database version is older than expected (needs migration)\n 41→// - Database version is newer than expected (needs app upgrade)\n 42→// - Database is in a dirty state (failed migration)\n 43→//\n 44→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 45→// This requires manual intervention to fix the database and force the version.\n 46→func checkDBVersion(db *sql.DB) error {\n 47→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 48→\tif err != nil {\n 49→\t\treturn err\n 50→\t}\n 51→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 52→\tif err != nil {\n 53→\t\treturn err\n 54→\t}\n 55→\n 56→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 57→\tif err != nil {\n 58→\t\treturn err\n 59→\t}\n 60→\n 61→\tv, dirty, err := m.Version()\n 62→\tif err != nil {\n 63→\t\tif err == migrate.ErrNilVersion {\n 64→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 65→\t\t} else {\n 66→\t\t\treturn err\n 67→\t\t}\n 68→\t}\n 69→\n 70→\tif v < Version {\n 71→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 72→\t} else if v > Version {\n 73→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 74→\t}\n 75→\n 76→\tif dirty {\n 77→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 78→\t}\n 79→\n 80→\treturn nil\n 81→}\n 82→\n 83→// getMigrateInstance creates a new migration instance for the given database file.\n 84→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 85→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 86→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 87→\tif err != nil {\n 88→\t\treturn nil, err\n 89→\t}\n 90→\n 91→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 92→\tif err != nil {\n 93→\t\treturn nil, err\n 94→\t}\n 95→\n 96→\treturn m, nil\n 97→}\n 98→\n 99→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 100→// This should be run with the -migrate-db flag before starting the application\n 101→// after upgrading to a new version that requires schema changes.\n 102→//\n 103→// Process:\n 104→// 1. Checks current database version\n 105→// 2. Applies all migrations from current version to target Version\n 106→// 3. Updates schema_migrations table to track applied migrations\n 107→//\n 108→// Important:\n 109→// - Always backup your database before running migrations\n 110→// - Migrations are irreversible without manual intervention\n 111→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 112→//\n 113→// Usage:\n 114→//\n 115→//\tcc-backend -migrate-db\n 116→func MigrateDB(db string) error {\n 117→\tm, err := getMigrateInstance(db)\n 118→\tif err != nil {\n 119→\t\treturn err\n 120→\t}\n 121→\n 122→\tv, dirty, err := m.Version()\n 123→\tif err != nil {\n 124→\t\tif err == migrate.ErrNilVersion {\n 125→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 126→\t\t} else {\n 127→\t\t\treturn err\n 128→\t\t}\n 129→\t}\n 130→\n 131→\tif v < Version {\n 132→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 133→\t}\n 134→\n 135→\tif dirty {\n 136→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 137→\t}\n 138→\n 139→\tif err := m.Up(); err != nil {\n 140→\t\tif err == migrate.ErrNoChange {\n 141→\t\t\tcclog.Info(\"DB already up to date!\")\n 142→\t\t} else {\n 143→\t\t\treturn err\n 144→\t\t}\n 145→\t}\n 146→\n 147→\tm.Close()\n 148→\treturn nil\n 149→}\n 150→\n 151→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 152→// This is primarily used for testing or emergency rollback scenarios.\n 153→//\n 154→// Warning:\n 155→// - This may cause data loss if newer schema added columns/tables\n 156→// - Always backup before reverting\n 157→// - Not all migrations are safely reversible\n 158→//\n 159→// Usage:\n 160→//\n 161→//\tcc-backend -revert-db\n 162→func RevertDB(db string) error {\n 163→\tm, err := getMigrateInstance(db)\n 164→\tif err != nil {\n 165→\t\treturn err\n 166→\t}\n 167→\n 168→\tif err := m.Migrate(Version - 1); err != nil {\n 169→\t\tif err == migrate.ErrNoChange {\n 170→\t\t\tcclog.Info(\"DB already up to date!\")\n 171→\t\t} else {\n 172→\t\t\treturn err\n 173→\t\t}\n 174→\t}\n 175→\n 176→\tm.Close()\n 177→\treturn nil\n 178→}\n 179→\n 180→// ForceDB forces the database schema version to the current Version without running migrations.\n 181→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 182→//\n 183→// When to use:\n 184→// - After manually fixing a failed migration\n 185→// - When you've manually applied schema changes and need to update the version marker\n 186→//\n 187→// Warning:\n 188→// - This does NOT apply any schema changes\n 189→// - Only use after manually verifying the schema is correct\n 190→// - Improper use can cause schema/version mismatch\n 191→//\n 192→// Usage:\n 193→//\n 194→//\tcc-backend -force-db\n 195→func ForceDB(db string) error {\n 196→\tm, err := getMigrateInstance(db)\n 197→\tif err != nil {\n 198→\t\treturn err\n 199→\t}\n 200→\n 201→\tif err := m.Force(int(Version)); err != nil {\n 202→\t\treturn err\n 203→\t}\n 204→\n 205→\tm.Close()\n 206→\treturn nil\n 207→}\n 208→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"cd9dde49-eaef-42bf-ab7c-41169529cfb7","timestamp":"2026-03-13T16:11:55.966Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 14\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","numLines":208,"startLine":1,"totalLines":208}},"sourceToolAssistantUUID":"317b82ee-e789-4b5f-803c-a14ae92adc7e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"cd9dde49-eaef-42bf-ab7c-41169529cfb7","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01Pi5G1GR6wyn7cVkw7d82aM","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"Es8ICkYICxgCKkDFEKkvsk+nMZrwfWELAoNPVSFwtRtO0wszfw/TW933NLtKX/yYwacppvqOK+c6HVHHs9PhLtjhpT7pkweoutTMEgxartenrNbAWRJGtQoaDLTZ2j/lqyEjYhOuZCIwmU97oSguh0VQR/I/i+bPge3xwRircacnbrxc121L/YLMLqVE8x+O2fw0smbnGJ8+KrYHFo7ptSmtWczSfONriC3M2WKtaNbAmPl7En5ATnG+trvEdfy5eLJXulZmQSqv+fWXvWrJp82v7QzaIEITd36ndQVbxVKeE8xhoKDppuNgPnEHKtu59wuejWi5664JtaB9ZNAJbesrssteSktCx2wm8lffX32tskkKIrfU9dq7eoaLj76HPtA04ZXw2CmPwYA5ppcoXk21Vcg+0ZBcYPVDXhwxzxYxNiBuYXSnW02BtZX6xs77yVKFlP156w+CUxmEiBp32vNyr6462hUStW45K67IMLGuJNarcTsn1lpDLfMMLeQbFbQgNLQsrWdGZfT4KS3qdfX4XIWRumrvFx3a+V/3xpugYvsI2HY8LJ4Ake8z0O6wR3OFWqCZLE2MndzbRmM7IXjQkSHsIlnXZgkUsCHUkZliOVwgXfrWVmZoIZ56rIQ3s0+rhTKdZMcJORGWzN+DtNbJyGqEvJjrk0ON5jxYRNw8b/CHIEtsEOgWcGRKZ/jeo5kLWNZxSTwmvGGg+Ws5J2qHyX+xbHs0qNUEG251ULh/KWh5P/KHbEe5bXRnrITSe+h4wQ+tH4ER+YADdBvarDixVgPmN3RXXHOQlU6C0ajmxRLPmCcISk9ewUKNQB6r/DCRaO0KiyEKazHGBcJocNJP7v+7JnMa9Cmss4x4kBsLMw96r9Bw9G4O+qEbZC/ycTwJxdCm6qa8r1yptYGezkDvMdJ0RZMQ76YcYN8MDnhHQAP44uR+N5AzDivqNP7c7gKzu0p7AsGfXu7W0eJgcTZau5C4Q4IFRX0oJsJL/O8eyp3lM7jMvSW3doflDjHOpVv7/3MW3a36l4agtn13xGoLjyTaVQ0A/ifBnp56waTcHbIDMd7bCDxehVLk/z+O4vHYRRJ58EIXiTXblgPvlDho2Bk8AxfpUjxuaU679a16Hif1Qvxs1AbpCk4tsjCIYepW0XypX2g2TDw53ciEJG1qbHcJGa/ykFL3Ps3Zds3J9Qy1fpcnPgCDcT6L5qTPNTW+h04AJcwXwGqG0UcHQR0qLMZAtBiZKMQZx1wXK4mTA9RHqZDlaXSyphv6v0S6h0pwSA5/P+LTY1Aj0zRM+xbfFHd8tPZDCYkYkArcBXhJci4zEKR2PKfGzwT8FDtFm/ryod4lIhSegrrSjGmnJOFALw3q4ukwB2wTSq3GFWdwSWs0Gf2xUm9Zi4lNuxuw5vMjPrXsTVGpo4ESWGaDwkNnlbdRyTa9JLw8JzLwTLjHEH9dHGFzuEqVcyKNmNA40Q0YAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2659,"cache_read_input_tokens":24720,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2659},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1NbtR6BhL2kFwiZfUuk","type":"assistant","uuid":"7217e04c-6077-4e4f-ac43-d77b2ec6abce","timestamp":"2026-03-13T16:12:04.733Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"7217e04c-6077-4e4f-ac43-d77b2ec6abce","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01Pi5G1GR6wyn7cVkw7d82aM","type":"message","role":"assistant","content":[{"type":"text","text":"I'll consolidate migrations 11–14 into a single migration 11, then delete 12–14, and update `Version` to 11."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2659,"cache_read_input_tokens":24720,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2659},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1NbtR6BhL2kFwiZfUuk","type":"assistant","uuid":"5a05a015-d468-4a0e-9c26-145abf7dba4f","timestamp":"2026-03-13T16:12:05.464Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"type":"file-history-snapshot","messageId":"6eb0ca39-dee3-4b7d-b2d7-7ec5687102ea","snapshot":{"messageId":"58f2bc86-790e-41de-9a5c-e8d3c8bfa4fd","trackedFileBackups":{"internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql":{"backupFileName":"7d03cc91d79d6ab5@v1","version":1,"backupTime":"2026-03-13T16:12:23.116Z"}},"timestamp":"2026-03-13T16:11:35.197Z"},"isSnapshotUpdate":true} +{"parentUuid":"5a05a015-d468-4a0e-9c26-145abf7dba4f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01Pi5G1GR6wyn7cVkw7d82aM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013SCWM4wnrFM55MX6DBg5C5","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql","content":"-- Migration 11: Optimize job table indexes\n-- Consolidates former migrations 11–14:\n-- - 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SQLite uses them when the query contains the\n-- literal `job_state = 'running'` (not a parameter placeholder).\n-- ============================================================\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA optimize;\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2659,"cache_read_input_tokens":24720,"output_tokens":1769,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2659,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1NbtR6BhL2kFwiZfUuk","type":"assistant","uuid":"6eb0ca39-dee3-4b7d-b2d7-7ec5687102ea","timestamp":"2026-03-13T16:12:23.104Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"6eb0ca39-dee3-4b7d-b2d7-7ec5687102ea","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_013SCWM4wnrFM55MX6DBg5C5","toolUseID":"toolu_013SCWM4wnrFM55MX6DBg5C5","timestamp":"2026-03-13T16:12:23.117Z","uuid":"4bb5cd4b-ab82-4d64-989c-17ef2570ae09","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"6eb0ca39-dee3-4b7d-b2d7-7ec5687102ea","isSidechain":false,"promptId":"14117c26-27b3-4724-bf43-14989ae1da46","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013SCWM4wnrFM55MX6DBg5C5","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql has been updated successfully."}]},"uuid":"e2a1efb3-5003-4a0d-8d1b-1f90801ca77c","timestamp":"2026-03-13T16:12:23.117Z","toolUseResult":{"type":"update","filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql","content":"-- Migration 11: Optimize job table indexes\n-- Consolidates former migrations 11–14:\n-- - Remove overly specific sorting indexes (reduces ~78 → 48)\n-- - Add covering index for grouped stats queries\n-- - Add covering indexes for status/dashboard queries\n-- - Add partial covering indexes for running jobs (tiny B-tree)\n-- Requires ANALYZE to be run after migration (done automatically on startup).\n\n-- ============================================================\n-- Drop SELECTED existing job indexes (from migrations 08/09)\n-- sqlite_autoindex_job_1 (UNIQUE constraint) is kept automatically\n-- ============================================================\n\n-- Cluster+Partition Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_energy;\n\n-- Cluster+JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_energy;\n\n-- Cluster+Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_shared_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_shared_numacc;\nDROP INDEX IF EXISTS jobs_cluster_shared_energy;\n\n-- User Filter Sorting\nDROP INDEX IF EXISTS jobs_user_numnodes;\nDROP INDEX IF EXISTS jobs_user_numhwthreads;\nDROP INDEX IF EXISTS jobs_user_numacc;\nDROP INDEX IF EXISTS jobs_user_energy;\n\n-- Project Filter Sorting\nDROP INDEX IF EXISTS jobs_project_numnodes;\nDROP INDEX IF EXISTS jobs_project_numhwthreads;\nDROP INDEX IF EXISTS jobs_project_numacc;\nDROP INDEX IF EXISTS jobs_project_energy;\n\n-- JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_jobstate_energy;\n\n-- Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_shared_numnodes;\nDROP INDEX IF EXISTS jobs_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_shared_numacc;\nDROP INDEX IF EXISTS jobs_shared_energy;\n\n-- ArrayJob Filter\nDROP INDEX IF EXISTS jobs_cluster_arrayjobid_starttime;\n\n-- Backup Indices For High Variety Columns\nDROP INDEX IF EXISTS jobs_duration;\n\n-- ============================================================\n-- Covering indexes for grouped stats queries\n-- Column order: cluster (equality), hpc_user/project (GROUP BY), start_time (range scan)\n-- Includes aggregated columns to avoid main table lookups entirely.\n-- ============================================================\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_user_starttime_stats\n ON job (cluster, hpc_user, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_project_starttime_stats\n ON job (cluster, project, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n\n-- ============================================================\n-- Covering indexes for status/dashboard queries\n-- Column order: cluster (equality), job_state (equality), grouping col, then aggregated columns\n-- These indexes allow the status views to be served entirely from index scans.\n-- ============================================================\n\n-- Drop 3-col indexes that are subsumed by the covering indexes below\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\n-- ============================================================\n-- Partial covering indexes for running jobs\n-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n-- the full-table indexes above. SQLite uses them when the query contains the\n-- literal `job_state = 'running'` (not a parameter placeholder).\n-- ============================================================\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA optimize;\n","structuredPatch":[{"oldStart":1,"oldLines":7,"newStart":1,"newLines":9,"lines":["--- Migration 11: Remove overly specific table indexes formerly used in sorting","--- When one or two indexed columns are used, sorting usually is fast","--- Reduces from ~78 indexes to 48 for better write performance,","--- reduced disk usage, and more reliable query planner decisions.","+-- Migration 11: Optimize job table indexes","+-- Consolidates former migrations 11–14:","+-- - Remove overly specific sorting indexes (reduces ~78 → 48)","+-- - Add covering index for grouped stats queries","+-- - Add covering indexes for status/dashboard queries","+-- - Add partial covering indexes for running jobs (tiny B-tree)"," -- Requires ANALYZE to be run after migration (done automatically on startup)."," "," -- ============================================================"]},{"oldStart":57,"oldLines":5,"newStart":59,"newLines":54,"lines":[" -- Backup Indices For High Variety Columns"," DROP INDEX IF EXISTS jobs_duration;"," ","--- Optimize DB index usage","+-- ============================================================","+-- Covering indexes for grouped stats queries","+-- Column order: cluster (equality), hpc_user/project (GROUP BY), start_time (range scan)","+-- Includes aggregated columns to avoid main table lookups entirely.","+-- ============================================================","+","+CREATE INDEX IF NOT EXISTS jobs_cluster_user_starttime_stats","+ ON job (cluster, hpc_user, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);","+","+CREATE INDEX IF NOT EXISTS jobs_cluster_project_starttime_stats","+ ON job (cluster, project, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);","+","+-- ============================================================","+-- Covering indexes for status/dashboard queries","+-- Column order: cluster (equality), job_state (equality), grouping col, then aggregated columns","+-- These indexes allow the status views to be served entirely from index scans.","+-- ============================================================","+","+-- Drop 3-col indexes that are subsumed by the covering indexes below","+DROP INDEX IF EXISTS jobs_cluster_jobstate_user;","+DROP INDEX IF EXISTS jobs_cluster_jobstate_project;","+","+CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats","+ ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);","+","+CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats","+ ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);","+","+CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats","+ ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);","+","+-- ============================================================","+-- Partial covering indexes for running jobs","+-- Only running jobs are in the B-tree, so these indexes are tiny compared to","+-- the full-table indexes above. SQLite uses them when the query contains the","+-- literal `job_state = 'running'` (not a parameter placeholder).","+-- ============================================================","+","+CREATE INDEX IF NOT EXISTS jobs_running_user_stats","+ ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)","+ WHERE job_state = 'running';","+","+CREATE INDEX IF NOT EXISTS jobs_running_project_stats","+ ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)","+ WHERE job_state = 'running';","+","+CREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats","+ ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)","+ WHERE job_state = 'running';","+"," PRAGMA optimize;"]}],"originalFile":"-- Migration 11: Remove overly specific table indexes formerly used in sorting\n-- When one or two indexed columns are used, sorting usually is fast\n-- Reduces from ~78 indexes to 48 for better write performance,\n-- reduced 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covering stats indexes","+DROP INDEX IF EXISTS jobs_cluster_user_starttime_stats;","+DROP INDEX IF EXISTS jobs_cluster_project_starttime_stats;","+"," -- Recreate all removed indexes from migration 09","--- ============================================================"," "," -- Cluster+Partition Filter Sorting"," CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);"]},{"oldStart":52,"oldLines":5,"newStart":70,"newLines":4,"lines":[" -- Backup Indices For High Variety Columns"," CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);"," ","--- Optimize DB index usage"," PRAGMA optimize;"]}],"originalFile":"-- Migration 11 DOWN: Restore indexes from migration 09\n\n-- ============================================================\n-- Recreate all removed indexes from migration 09\n-- ============================================================\n\n-- Cluster+Partition Filter Sorting\nCREATE INDEX IF NOT EXISTS 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11","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 14\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","structuredPatch":[{"oldStart":21,"oldLines":14,"newStart":21,"newLines":11,"lines":[" // is added to internal/repository/migrations/sqlite3/."," //"," // Version history:","-// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)","-// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)","-// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)","-// - Version 11: Optimize job table indexes (reduce from ~78 to 48)","+// - Version 11: Optimize job table indexes (reduce from ~78 to 48, add covering/partial indexes)"," // - Version 10: Node table"," //"," // Migration files are embedded at build time from the migrations directory.","-const Version uint = 14","+const Version uint = 11"," "," //go:embed migrations/*"," var migrationFiles embed.FS"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"039f0014-b730-4628-88ce-5e8e65901a0a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"d7b38bc2-9c86-403c-95ee-c10284ffa933","version":"2.1.74","gitBranch":"hotfix","slug":"elegant-churning-quiche"} +{"parentUuid":"036b6975-6f04-4300-93d0-9518489820ff","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01GBvjRSSDQTVaPn5yfTCFQH","type":"message","role":"assistant","content":[{"type":"text","text":"Done. Migrations 12, 13, and 14 are deleted. Migration 11 now consolidates all their changes:\n\n- **up**: drops old sorting indexes → creates stats covering indexes → creates status covering indexes (dropping the subsumed 3-col ones) → creates partial indexes for running jobs\n- **down**: reverses everything in the correct order (running partial → status covering → stats covering → restore old indexes)\n- `Version` updated to 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Content-Type headers are set.\n 186→func handleError(err error, statusCode int, rw http.ResponseWriter) {\n 187→\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n 188→\trw.Header().Add(\"Content-Type\", \"application/json\")\n 189→\trw.WriteHeader(statusCode)\n 190→\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n 191→\t\tStatus: http.StatusText(statusCode),\n 192→\t\tError: err.Error(),\n 193→\t}); err != nil {\n 194→\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n 195→\t}\n 196→}\n 197→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. 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The simplest approach is to add caller info using `runtime.Caller(1)`:\n\n```go\nimport \"runtime\"\n\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n _, file, line, _ := runtime.Caller(1)\n cclog.Warnf(\"REST ERROR (%s:%d): %s\", filepath.Base(file), line, err.Error())\n // ...\n}\n```\n\nThis gives you the immediate caller's file and line number in every log message, e.g.:\n```\nREST ERROR (rest.go:342): job not found\n```\n\n**Alternative: use `%+v` with `errors` wrapping** — callers wrap their errors with context before passing them in:\n\n```go\nhandleError(fmt.Errorf(\"startJob: %w\", err), http.StatusBadRequest, rw)\n```\n\nThis approach puts the context in the error message itself, which also shows up in the HTTP response body — useful for API consumers too.\n\n**Which to choose:**\n- `runtime.Caller(1)` — zero changes to call sites, automatic, log-only\n- Error wrapping — requires updating each call site but enriches both logs and API responses"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":636,"cache_read_input_tokens":19888,"output_tokens":298,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":636,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6vuX5wdtwtAko88r9Xg","type":"assistant","uuid":"da3e7fac-f7dd-4908-bdda-770637f51e0c","timestamp":"2026-03-16T14:38:39.072Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"da3e7fac-f7dd-4908-bdda-770637f51e0c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package api provides the REST API layer for ClusterCockpit.\n 7→// It handles HTTP requests for job management, user administration,\n 8→// cluster queries, node state updates, and metrics storage operations.\n 9→// The API supports both JWT token authentication and session-based authentication.\n 10→package api\n 11→\n 12→import (\n 13→\t\"encoding/json\"\n 14→\t\"fmt\"\n 15→\t\"io\"\n 16→\t\"net/http\"\n 17→\t\"os\"\n 18→\t\"path/filepath\"\n 19→\t\"strings\"\n 20→\t\"sync\"\n 21→\n 22→\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n 23→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 24→\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n 25→\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n 26→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 27→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 28→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 29→\t\"github.com/go-chi/chi/v5\"\n 30→)\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"5a8ff8c5-6d95-4b73-a5c2-fe9216a37170","timestamp":"2026-03-16T14:40:13.912Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package api provides the REST API layer for ClusterCockpit.\n// It handles HTTP requests for job management, user administration,\n// cluster queries, node state updates, and metrics storage operations.\n// The API supports both JWT token authentication and session-based authentication.\npackage api\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"net/http\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)","numLines":30,"startLine":1,"totalLines":497}},"sourceToolAssistantUUID":"83391802-f40b-4f6c-9f56-106a18291415","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"5a8ff8c5-6d95-4b73-a5c2-fe9216a37170","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_015B6rHDwS5cv6xr871cZoXV","type":"message","role":"assistant","content":[{"type":"text","text":"`filepath` is already imported. I just need to add `runtime`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":692,"cache_read_input_tokens":20834,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":692},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6w346wVUPPgJv8PwToP","type":"assistant","uuid":"4f90c46f-c2b6-493e-abff-d554d3cb3b5f","timestamp":"2026-03-16T14:40:15.892Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"4f90c46f-c2b6-493e-abff-d554d3cb3b5f","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_015B6rHDwS5cv6xr871cZoXV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ke9K4CiK8ExQiBrPduBZZE","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","old_string":"\t\"os\"\n\t\"path/filepath\"\n\t\"strings\"\n\t\"sync\"","new_string":"\t\"os\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":692,"cache_read_input_tokens":20834,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":692},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6w346wVUPPgJv8PwToP","type":"assistant","uuid":"71111264-ca25-456a-b088-6df0bd6fb0ed","timestamp":"2026-03-16T14:40:17.538Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"type":"file-history-snapshot","messageId":"71111264-ca25-456a-b088-6df0bd6fb0ed","snapshot":{"messageId":"ed6d61fc-ed6e-4d20-9178-23ed831df2fc","trackedFileBackups":{"internal/api/rest.go":{"backupFileName":"81e62b4eace06b8e@v1","version":1,"backupTime":"2026-03-16T14:41:02.214Z"}},"timestamp":"2026-03-16T14:40:10.681Z"},"isSnapshotUpdate":true} +{"parentUuid":"71111264-ca25-456a-b088-6df0bd6fb0ed","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Ke9K4CiK8ExQiBrPduBZZE","toolUseID":"toolu_01Ke9K4CiK8ExQiBrPduBZZE","timestamp":"2026-03-16T14:41:02.218Z","uuid":"e02673b9-4de6-465f-92e7-91aa1ccb6bd2","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"71111264-ca25-456a-b088-6df0bd6fb0ed","isSidechain":false,"promptId":"e577f40b-2d77-4bab-b2c5-e70d30b702c8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ke9K4CiK8ExQiBrPduBZZE","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go has been updated successfully."}]},"uuid":"d55a666c-44f6-4f81-a8c2-8799d34720ee","timestamp":"2026-03-16T14:41:02.217Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","oldString":"\t\"os\"\n\t\"path/filepath\"\n\t\"strings\"\n\t\"sync\"","newString":"\t\"os\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package api provides the REST API layer for ClusterCockpit.\n// It handles HTTP requests for job management, user administration,\n// cluster queries, node state updates, and metrics storage operations.\n// The API supports both JWT token authentication and session-based authentication.\npackage api\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"net/http\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\n// @title ClusterCockpit REST API\n// @version 1.0.0\n// @description API for batch job control.\n\n// @contact.name ClusterCockpit Project\n// @contact.url https://github.com/ClusterCockpit\n// @contact.email support@clustercockpit.org\n\n// @license.name MIT License\n// @license.url https://opensource.org/licenses/MIT\n\n// @host localhost:8080\n\n// @securityDefinitions.apikey ApiKeyAuth\n// @in header\n// @name X-Auth-Token\n\nconst (\n\tnoticeFilePath = \"./var/notice.txt\"\n\tnoticeFilePerms = 0o644\n\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n)\n\ntype RestAPI struct {\n\tJobRepository *repository.JobRepository\n\tAuthentication *auth.Authentication\n\tMachineStateDir string\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob API calls.\n\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n\t// from creating duplicate entries in the database.\n\tRepositoryMutex sync.Mutex\n}\n\n// New creates and initializes a new RestAPI instance with configured dependencies.\nfunc New() *RestAPI {\n\treturn &RestAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tMachineStateDir: config.Keys.MachineStateDir,\n\t\tAuthentication: auth.GetAuthInstance(),\n\t}\n}\n\n// MountAPIRoutes registers REST API endpoints for job and cluster management.\n// These routes use JWT token authentication via the X-Auth-Token header.\nfunc (api *RestAPI) MountAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\t// User List\n\tr.Get(\"/users/\", api.getUsers)\n\t// Cluster List\n\tr.Get(\"/clusters/\", api.getClusters)\n\t// Slurm node state\n\tr.Post(\"/nodestate/\", api.updateNodeStates)\n\tr.Put(\"/nodestate/\", api.updateNodeStates)\n\t// Job Handler\n\tif config.Keys.APISubjects == nil {\n\t\tcclog.Info(\"Enabling REST start/stop job API\")\n\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t}\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\n\tr.Delete(\"/tags/\", api.removeTags)\n\n\tif api.MachineStateDir != \"\" {\n\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t}\n}\n\n// MountUserAPIRoutes registers user-accessible REST API endpoints.\n// These are limited endpoints for regular users with JWT token authentication.\nfunc (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n}\n\n// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n// These endpoints handle metric data ingestion and health checks with JWT token authentication.\nfunc (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Post(\"/free\", freeMetrics)\n\tr.Post(\"/write\", writeMetrics)\n\tr.Get(\"/debug\", debugMetrics)\n\tr.Post(\"/healthcheck\", api.updateNodeStates)\n\t// Same endpoints but with trailing slash\n\tr.Post(\"/free/\", freeMetrics)\n\tr.Post(\"/write/\", writeMetrics)\n\tr.Get(\"/debug/\", debugMetrics)\n\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n}\n\n// MountConfigAPIRoutes registers configuration and user management endpoints.\n// These routes use session-based authentication and require admin privileges.\n// Routes use full paths (including /config prefix) to avoid conflicting with\n// the /config page route when registered via Group instead of Route.\nfunc (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/config/roles/\", api.getRoles)\n\t\tr.Post(\"/config/users/\", api.createUser)\n\t\tr.Put(\"/config/users/\", api.createUser)\n\t\tr.Get(\"/config/users/\", api.getUsers)\n\t\tr.Delete(\"/config/users/\", api.deleteUser)\n\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n\t\tr.Post(\"/config/notice/\", api.editNotice)\n\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n\t}\n}\n\n// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n// These routes support JWT generation and user configuration updates with session authentication.\nfunc (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n\tr.Get(\"/logs/\", api.getJournalLog)\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/jwt/\", api.getJWT)\n\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n\t}\n}\n\n// ErrorResponse model\ntype ErrorResponse struct {\n\t// Statustext of Errorcode\n\tStatus string `json:\"status\"`\n\tError string `json:\"error\"` // Error Message\n}\n\n// DefaultAPIResponse model\ntype DefaultAPIResponse struct {\n\tMessage string `json:\"msg\"`\n}\n\n// handleError writes a standardized JSON error response with the given status code.\n// It logs the error at WARN level and ensures proper Content-Type headers are set.\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(statusCode)\n\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n\t\tStatus: http.StatusText(statusCode),\n\t\tError: err.Error(),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t}\n}\n\n// decode reads JSON from r into val with strict validation that rejects unknown fields.\nfunc decode(r io.Reader, val any) error {\n\tdec := json.NewDecoder(r)\n\tdec.DisallowUnknownFields()\n\treturn dec.Decode(val)\n}\n\n// validatePathComponent checks if a path component contains potentially malicious patterns\n// that could be used for path traversal attacks. Returns an error if validation fails.\nfunc validatePathComponent(component, componentName string) error {\n\tif strings.Contains(component, \"..\") ||\n\t\tstrings.Contains(component, \"/\") ||\n\t\tstrings.Contains(component, \"\\\\\") {\n\t\treturn fmt.Errorf(\"invalid %s\", componentName)\n\t}\n\treturn nil\n}\n\n// editNotice godoc\n// @summary Update system notice\n// @tags Config\n// @description Updates the notice.txt file content. Only admins are allowed. Content is limited to 10000 characters.\n// @accept mpfd\n// @produce plain\n// @param new-content formData string true \"New notice content (max 10000 characters)\"\n// @success 200 {string} string \"Update Notice Content Success\"\n// @failure 400 {object} ErrorResponse \"Bad Request\"\n// @failure 403 {object} ErrorResponse \"Forbidden\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /notice/ [post]\nfunc (api *RestAPI) editNotice(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to update the notice.txt file\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\t// Get Value\n\tnewContent := r.FormValue(\"new-content\")\n\n\tif len(newContent) > maxNoticeLength {\n\t\thandleError(fmt.Errorf(\"notice content exceeds maximum length of %d characters\", maxNoticeLength), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Check File\n\tnoticeExists := util.CheckFileExists(noticeFilePath)\n\tif !noticeExists {\n\t\tntxt, err := os.Create(noticeFilePath)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"creating notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tif err := ntxt.Close(); err != nil {\n\t\t\tcclog.Warnf(\"Failed to close notice file: %v\", err)\n\t\t}\n\t}\n\n\tif err := os.WriteFile(noticeFilePath, []byte(newContent), noticeFilePerms); err != nil {\n\t\thandleError(fmt.Errorf(\"writing to notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tvar msg []byte\n\tif newContent != \"\" {\n\t\tmsg = []byte(\"Update Notice Content Success\")\n\t} else {\n\t\tmsg = []byte(\"Empty Notice Content Success\")\n\t}\n\tif _, err := rw.Write(msg); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) getTaggers(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to list taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(tagger.ListTaggers()); err != nil {\n\t\tcclog.Errorf(\"Failed to encode tagger list: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) runTagger(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to run taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\tname := r.FormValue(\"name\")\n\tif name == \"\" {\n\t\thandleError(fmt.Errorf(\"missing required parameter: name\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif err := tagger.RunTaggerByName(name); err != nil {\n\t\thandleError(err, http.StatusConflict, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write(fmt.Appendf(nil, \"Tagger %s started\", name)); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// getJWT godoc\n// @summary Generate JWT token\n// @tags Frontend\n// @description Generates a JWT token for a user. Admins can generate tokens for any user, regular users only for themselves.\n// @accept mpfd\n// @produce plain\n// @param username formData string true \"Username to generate JWT for\"\n// @success 200 {string} string \"JWT token\"\n// @failure 403 {object} ErrorResponse \"Forbidden\"\n// @failure 404 {object} ErrorResponse \"User Not Found\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /jwt/ [get]\nfunc (api *RestAPI) getJWT(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tusername := r.FormValue(\"username\")\n\tme := repository.GetUserFromContext(r.Context())\n\tif !me.HasRole(schema.RoleAdmin) {\n\t\tif username != me.Username {\n\t\t\thandleError(fmt.Errorf(\"only admins are allowed to sign JWTs not for themselves\"), http.StatusForbidden, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tuser, err := repository.GetUserRepository().GetUser(username)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting user failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjwt, err := api.Authentication.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"providing JWT failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(jwt)); err != nil {\n\t\tcclog.Errorf(\"Failed to write JWT response: %v\", err)\n\t}\n}\n\n// getRoles godoc\n// @summary Get available roles\n// @tags Config\n// @description Returns a list of valid user roles. Only admins are allowed.\n// @produce json\n// @success 200 {array} string \"List of role names\"\n// @failure 403 {object} ErrorResponse \"Forbidden\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /roles/ [get]\nfunc (api *RestAPI) getRoles(rw http.ResponseWriter, r *http.Request) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tif !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of roles\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\troles, err := schema.GetValidRoles(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting valid roles failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(roles); err != nil {\n\t\tcclog.Errorf(\"Failed to encode roles response: %v\", err)\n\t}\n}\n\n// updateConfiguration godoc\n// @summary Update user configuration\n// @tags Frontend\n// @description Updates a user's configuration key-value pair.\n// @accept mpfd\n// @produce plain\n// @param key formData string true \"Configuration key\"\n// @param value formData string true \"Configuration value\"\n// @success 200 {string} string \"success\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /configuration/ [post]\nfunc (api *RestAPI) updateConfiguration(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tkey, value := r.FormValue(\"key\"), r.FormValue(\"value\")\n\n\tif err := repository.GetUserCfgRepo().UpdateConfig(key, value, repository.GetUserFromContext(r.Context())); err != nil {\n\t\thandleError(fmt.Errorf(\"updating configuration failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(\"success\")); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// putMachineState godoc\n// @summary Store machine state\n// @tags Machine State\n// @description Stores machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @accept json\n// @produce plain\n// @param cluster path string true \"Cluster name\"\n// @param host path string true \"Host name\"\n// @success 201 \"Created\"\n// @failure 400 {object} ErrorResponse \"Bad Request\"\n// @failure 404 {object} ErrorResponse \"Machine state not enabled\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /machine_state/{cluster}/{host} [put]\nfunc (api *RestAPI) putMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tdir := filepath.Join(api.MachineStateDir, cluster)\n\tif err := os.MkdirAll(dir, 0o755); err != nil {\n\t\thandleError(fmt.Errorf(\"creating directory failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(dir, fmt.Sprintf(\"%s.json\", host))\n\tf, err := os.Create(filename)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"creating file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\tdefer f.Close()\n\n\tif _, err := io.Copy(f, r.Body); err != nil {\n\t\thandleError(fmt.Errorf(\"writing file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusCreated)\n}\n\n// getMachineState godoc\n// @summary Retrieve machine state\n// @tags Machine State\n// @description Retrieves stored machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @produce json\n// @param cluster path string true \"Cluster name\"\n// @param host path string true \"Host name\"\n// @success 200 {object} object \"Machine state JSON data\"\n// @failure 400 {object} ErrorResponse \"Bad Request\"\n// @failure 404 {object} ErrorResponse \"Machine state not enabled or file not found\"\n// @security ApiKeyAuth\n// @router /machine_state/{cluster}/{host} [get]\nfunc (api *RestAPI) getMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(api.MachineStateDir, cluster, fmt.Sprintf(\"%s.json\", host))\n\n\t// Sets the content-type and 'Last-Modified' Header and so on automatically\n\thttp.ServeFile(rw, r, filename)\n}\n","structuredPatch":[{"oldStart":16,"oldLines":6,"newStart":16,"newLines":7,"lines":[" \"net/http\""," \"os\""," \"path/filepath\"","+ \"runtime\""," \"strings\""," \"sync\""," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"71111264-ca25-456a-b088-6df0bd6fb0ed","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"d55a666c-44f6-4f81-a8c2-8799d34720ee","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01LWgRjHZ2yeSErsxzW8WNci","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019UrWqMSfLojpWbSWwksFgt","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","old_string":"func handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())","new_string":"func handleError(err error, statusCode int, rw http.ResponseWriter) {\n\t_, file, line, _ := runtime.Caller(1)\n\tcclog.Warnf(\"REST ERROR (%s:%d): %s\", filepath.Base(file), line, err.Error())"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":238,"cache_read_input_tokens":21526,"output_tokens":220,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":238,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6w6cgbhw4GNyFjWpKim","type":"assistant","uuid":"d6facaa5-7e22-4f22-8c47-e702cd0fbb58","timestamp":"2026-03-16T14:41:05.524Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"d6facaa5-7e22-4f22-8c47-e702cd0fbb58","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_019UrWqMSfLojpWbSWwksFgt","toolUseID":"toolu_019UrWqMSfLojpWbSWwksFgt","timestamp":"2026-03-16T14:41:05.535Z","uuid":"90a0d37c-1cc9-4f6c-bee4-5bcafbd7f128","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"d6facaa5-7e22-4f22-8c47-e702cd0fbb58","isSidechain":false,"promptId":"e577f40b-2d77-4bab-b2c5-e70d30b702c8","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019UrWqMSfLojpWbSWwksFgt","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go has been updated successfully."}]},"uuid":"7ae9db85-a439-4b4d-8517-befdcf3e2641","timestamp":"2026-03-16T14:41:05.535Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/api/rest.go","oldString":"func handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())","newString":"func handleError(err error, statusCode int, rw http.ResponseWriter) {\n\t_, file, line, _ := runtime.Caller(1)\n\tcclog.Warnf(\"REST ERROR (%s:%d): %s\", filepath.Base(file), line, err.Error())","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package api provides the REST API layer for ClusterCockpit.\n// It handles HTTP requests for job management, user administration,\n// cluster queries, node state updates, and metrics storage operations.\n// The API supports both JWT token authentication and session-based authentication.\npackage api\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"io\"\n\t\"net/http\"\n\t\"os\"\n\t\"path/filepath\"\n\t\"runtime\"\n\t\"strings\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/tagger\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n\t\"github.com/go-chi/chi/v5\"\n)\n\n// @title ClusterCockpit REST API\n// @version 1.0.0\n// @description API for batch job control.\n\n// @contact.name ClusterCockpit Project\n// @contact.url https://github.com/ClusterCockpit\n// @contact.email support@clustercockpit.org\n\n// @license.name MIT License\n// @license.url https://opensource.org/licenses/MIT\n\n// @host localhost:8080\n\n// @securityDefinitions.apikey ApiKeyAuth\n// @in header\n// @name X-Auth-Token\n\nconst (\n\tnoticeFilePath = \"./var/notice.txt\"\n\tnoticeFilePerms = 0o644\n\tmaxNoticeLength = 10000 // Maximum allowed notice content length in characters\n)\n\ntype RestAPI struct {\n\tJobRepository *repository.JobRepository\n\tAuthentication *auth.Authentication\n\tMachineStateDir string\n\t// RepositoryMutex protects job creation operations from race conditions\n\t// when checking for duplicate jobs during startJob API calls.\n\t// It prevents concurrent job starts with the same jobId/cluster/startTime\n\t// from creating duplicate entries in the database.\n\tRepositoryMutex sync.Mutex\n}\n\n// New creates and initializes a new RestAPI instance with configured dependencies.\nfunc New() *RestAPI {\n\treturn &RestAPI{\n\t\tJobRepository: repository.GetJobRepository(),\n\t\tMachineStateDir: config.Keys.MachineStateDir,\n\t\tAuthentication: auth.GetAuthInstance(),\n\t}\n}\n\n// MountAPIRoutes registers REST API endpoints for job and cluster management.\n// These routes use JWT token authentication via the X-Auth-Token header.\nfunc (api *RestAPI) MountAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\t// User List\n\tr.Get(\"/users/\", api.getUsers)\n\t// Cluster List\n\tr.Get(\"/clusters/\", api.getClusters)\n\t// Slurm node state\n\tr.Post(\"/nodestate/\", api.updateNodeStates)\n\tr.Put(\"/nodestate/\", api.updateNodeStates)\n\t// Job Handler\n\tif config.Keys.APISubjects == nil {\n\t\tcclog.Info(\"Enabling REST start/stop job API\")\n\t\tr.Post(\"/jobs/start_job/\", api.startJob)\n\t\tr.Put(\"/jobs/start_job/\", api.startJob)\n\t\tr.Post(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t\tr.Put(\"/jobs/stop_job/\", api.stopJobByRequest)\n\t}\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Get(\"/jobs/used_nodes\", api.getUsedNodes)\n\tr.Post(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Patch(\"/jobs/tag_job/{id}\", api.tagJob)\n\tr.Delete(\"/jobs/tag_job/{id}\", api.removeTagJob)\n\tr.Patch(\"/jobs/edit_meta/{id}\", api.editMeta)\n\tr.Patch(\"/jobs/edit_meta/\", api.editMetaByRequest)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n\tr.Delete(\"/jobs/delete_job/\", api.deleteJobByRequest)\n\tr.Delete(\"/jobs/delete_job/{id}\", api.deleteJobByID)\n\tr.Delete(\"/jobs/delete_job_before/{ts}\", api.deleteJobBefore)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\n\tr.Delete(\"/tags/\", api.removeTags)\n\n\tif api.MachineStateDir != \"\" {\n\t\tr.Get(\"/machine_state/{cluster}/{host}\", api.getMachineState)\n\t\tr.Put(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t\tr.Post(\"/machine_state/{cluster}/{host}\", api.putMachineState)\n\t}\n}\n\n// MountUserAPIRoutes registers user-accessible REST API endpoints.\n// These are limited endpoints for regular users with JWT token authentication.\nfunc (api *RestAPI) MountUserAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Get(\"/jobs/\", api.getJobs)\n\tr.Post(\"/jobs/{id}\", api.getJobByID)\n\tr.Get(\"/jobs/{id}\", api.getCompleteJobByID)\n\tr.Get(\"/jobs/metrics/{id}\", api.getJobMetrics)\n}\n\n// MountMetricStoreAPIRoutes registers metric storage API endpoints.\n// These endpoints handle metric data ingestion and health checks with JWT token authentication.\nfunc (api *RestAPI) MountMetricStoreAPIRoutes(r chi.Router) {\n\t// REST API Uses TokenAuth\n\tr.Post(\"/free\", freeMetrics)\n\tr.Post(\"/write\", writeMetrics)\n\tr.Get(\"/debug\", debugMetrics)\n\tr.Post(\"/healthcheck\", api.updateNodeStates)\n\t// Same endpoints but with trailing slash\n\tr.Post(\"/free/\", freeMetrics)\n\tr.Post(\"/write/\", writeMetrics)\n\tr.Get(\"/debug/\", debugMetrics)\n\tr.Post(\"/healthcheck/\", api.updateNodeStates)\n}\n\n// MountConfigAPIRoutes registers configuration and user management endpoints.\n// These routes use session-based authentication and require admin privileges.\n// Routes use full paths (including /config prefix) to avoid conflicting with\n// the /config page route when registered via Group instead of Route.\nfunc (api *RestAPI) MountConfigAPIRoutes(r chi.Router) {\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/config/roles/\", api.getRoles)\n\t\tr.Post(\"/config/users/\", api.createUser)\n\t\tr.Put(\"/config/users/\", api.createUser)\n\t\tr.Get(\"/config/users/\", api.getUsers)\n\t\tr.Delete(\"/config/users/\", api.deleteUser)\n\t\tr.Post(\"/config/user/{id}\", api.updateUser)\n\t\tr.Post(\"/config/notice/\", api.editNotice)\n\t\tr.Get(\"/config/taggers/\", api.getTaggers)\n\t\tr.Post(\"/config/taggers/run/\", api.runTagger)\n\t}\n}\n\n// MountFrontendAPIRoutes registers frontend-specific API endpoints.\n// These routes support JWT generation and user configuration updates with session authentication.\nfunc (api *RestAPI) MountFrontendAPIRoutes(r chi.Router) {\n\tr.Get(\"/logs/\", api.getJournalLog)\n\t// Settings Frontend Uses SessionAuth\n\tif api.Authentication != nil {\n\t\tr.Get(\"/jwt/\", api.getJWT)\n\t\tr.Post(\"/configuration/\", api.updateConfiguration)\n\t}\n}\n\n// ErrorResponse model\ntype ErrorResponse struct {\n\t// Statustext of Errorcode\n\tStatus string `json:\"status\"`\n\tError string `json:\"error\"` // Error Message\n}\n\n// DefaultAPIResponse model\ntype DefaultAPIResponse struct {\n\tMessage string `json:\"msg\"`\n}\n\n// handleError writes a standardized JSON error response with the given status code.\n// It logs the error at WARN level and ensures proper Content-Type headers are set.\nfunc handleError(err error, statusCode int, rw http.ResponseWriter) {\n\tcclog.Warnf(\"REST ERROR : %s\", err.Error())\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(statusCode)\n\tif err := json.NewEncoder(rw).Encode(ErrorResponse{\n\t\tStatus: http.StatusText(statusCode),\n\t\tError: err.Error(),\n\t}); err != nil {\n\t\tcclog.Errorf(\"Failed to encode error response: %v\", err)\n\t}\n}\n\n// decode reads JSON from r into val with strict validation that rejects unknown fields.\nfunc decode(r io.Reader, val any) error {\n\tdec := json.NewDecoder(r)\n\tdec.DisallowUnknownFields()\n\treturn dec.Decode(val)\n}\n\n// validatePathComponent checks if a path component contains potentially malicious patterns\n// that could be used for path traversal attacks. Returns an error if validation fails.\nfunc validatePathComponent(component, componentName string) error {\n\tif strings.Contains(component, \"..\") ||\n\t\tstrings.Contains(component, \"/\") ||\n\t\tstrings.Contains(component, \"\\\\\") {\n\t\treturn fmt.Errorf(\"invalid %s\", componentName)\n\t}\n\treturn nil\n}\n\n// editNotice godoc\n// @summary Update system notice\n// @tags Config\n// @description Updates the notice.txt file content. Only admins are allowed. Content is limited to 10000 characters.\n// @accept mpfd\n// @produce plain\n// @param new-content formData string true \"New notice content (max 10000 characters)\"\n// @success 200 {string} string \"Update Notice Content Success\"\n// @failure 400 {object} ErrorResponse \"Bad Request\"\n// @failure 403 {object} ErrorResponse \"Forbidden\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /notice/ [post]\nfunc (api *RestAPI) editNotice(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to update the notice.txt file\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\t// Get Value\n\tnewContent := r.FormValue(\"new-content\")\n\n\tif len(newContent) > maxNoticeLength {\n\t\thandleError(fmt.Errorf(\"notice content exceeds maximum length of %d characters\", maxNoticeLength), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\t// Check File\n\tnoticeExists := util.CheckFileExists(noticeFilePath)\n\tif !noticeExists {\n\t\tntxt, err := os.Create(noticeFilePath)\n\t\tif err != nil {\n\t\t\thandleError(fmt.Errorf(\"creating notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\t\treturn\n\t\t}\n\t\tif err := ntxt.Close(); err != nil {\n\t\t\tcclog.Warnf(\"Failed to close notice file: %v\", err)\n\t\t}\n\t}\n\n\tif err := os.WriteFile(noticeFilePath, []byte(newContent), noticeFilePerms); err != nil {\n\t\thandleError(fmt.Errorf(\"writing to notice file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tvar msg []byte\n\tif newContent != \"\" {\n\t\tmsg = []byte(\"Update Notice Content Success\")\n\t} else {\n\t\tmsg = []byte(\"Empty Notice Content Success\")\n\t}\n\tif _, err := rw.Write(msg); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) getTaggers(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to list taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(tagger.ListTaggers()); err != nil {\n\t\tcclog.Errorf(\"Failed to encode tagger list: %v\", err)\n\t}\n}\n\nfunc (api *RestAPI) runTagger(rw http.ResponseWriter, r *http.Request) {\n\tif user := repository.GetUserFromContext(r.Context()); !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to run taggers\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\tname := r.FormValue(\"name\")\n\tif name == \"\" {\n\t\thandleError(fmt.Errorf(\"missing required parameter: name\"), http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tif err := tagger.RunTaggerByName(name); err != nil {\n\t\thandleError(err, http.StatusConflict, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write(fmt.Appendf(nil, \"Tagger %s started\", name)); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// getJWT godoc\n// @summary Generate JWT token\n// @tags Frontend\n// @description Generates a JWT token for a user. Admins can generate tokens for any user, regular users only for themselves.\n// @accept mpfd\n// @produce plain\n// @param username formData string true \"Username to generate JWT for\"\n// @success 200 {string} string \"JWT token\"\n// @failure 403 {object} ErrorResponse \"Forbidden\"\n// @failure 404 {object} ErrorResponse \"User Not Found\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /jwt/ [get]\nfunc (api *RestAPI) getJWT(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tusername := r.FormValue(\"username\")\n\tme := repository.GetUserFromContext(r.Context())\n\tif !me.HasRole(schema.RoleAdmin) {\n\t\tif username != me.Username {\n\t\t\thandleError(fmt.Errorf(\"only admins are allowed to sign JWTs not for themselves\"), http.StatusForbidden, rw)\n\t\t\treturn\n\t\t}\n\t}\n\n\tuser, err := repository.GetUserRepository().GetUser(username)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting user failed: %w\", err), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tjwt, err := api.Authentication.JwtAuth.ProvideJWT(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"providing JWT failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(jwt)); err != nil {\n\t\tcclog.Errorf(\"Failed to write JWT response: %v\", err)\n\t}\n}\n\n// getRoles godoc\n// @summary Get available roles\n// @tags Config\n// @description Returns a list of valid user roles. Only admins are allowed.\n// @produce json\n// @success 200 {array} string \"List of role names\"\n// @failure 403 {object} ErrorResponse \"Forbidden\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /roles/ [get]\nfunc (api *RestAPI) getRoles(rw http.ResponseWriter, r *http.Request) {\n\tuser := repository.GetUserFromContext(r.Context())\n\tif !user.HasRole(schema.RoleAdmin) {\n\t\thandleError(fmt.Errorf(\"only admins are allowed to fetch a list of roles\"), http.StatusForbidden, rw)\n\t\treturn\n\t}\n\n\troles, err := schema.GetValidRoles(user)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"getting valid roles failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.Header().Set(\"Content-Type\", \"application/json\")\n\tif err := json.NewEncoder(rw).Encode(roles); err != nil {\n\t\tcclog.Errorf(\"Failed to encode roles response: %v\", err)\n\t}\n}\n\n// updateConfiguration godoc\n// @summary Update user configuration\n// @tags Frontend\n// @description Updates a user's configuration key-value pair.\n// @accept mpfd\n// @produce plain\n// @param key formData string true \"Configuration key\"\n// @param value formData string true \"Configuration value\"\n// @success 200 {string} string \"success\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /configuration/ [post]\nfunc (api *RestAPI) updateConfiguration(rw http.ResponseWriter, r *http.Request) {\n\trw.Header().Set(\"Content-Type\", \"text/plain\")\n\tkey, value := r.FormValue(\"key\"), r.FormValue(\"value\")\n\n\tif err := repository.GetUserCfgRepo().UpdateConfig(key, value, repository.GetUserFromContext(r.Context())); err != nil {\n\t\thandleError(fmt.Errorf(\"updating configuration failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusOK)\n\tif _, err := rw.Write([]byte(\"success\")); err != nil {\n\t\tcclog.Errorf(\"Failed to write response: %v\", err)\n\t}\n}\n\n// putMachineState godoc\n// @summary Store machine state\n// @tags Machine State\n// @description Stores machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @accept json\n// @produce plain\n// @param cluster path string true \"Cluster name\"\n// @param host path string true \"Host name\"\n// @success 201 \"Created\"\n// @failure 400 {object} ErrorResponse \"Bad Request\"\n// @failure 404 {object} ErrorResponse \"Machine state not enabled\"\n// @failure 500 {object} ErrorResponse \"Internal Server Error\"\n// @security ApiKeyAuth\n// @router /machine_state/{cluster}/{host} [put]\nfunc (api *RestAPI) putMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tdir := filepath.Join(api.MachineStateDir, cluster)\n\tif err := os.MkdirAll(dir, 0o755); err != nil {\n\t\thandleError(fmt.Errorf(\"creating directory failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(dir, fmt.Sprintf(\"%s.json\", host))\n\tf, err := os.Create(filename)\n\tif err != nil {\n\t\thandleError(fmt.Errorf(\"creating file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\tdefer f.Close()\n\n\tif _, err := io.Copy(f, r.Body); err != nil {\n\t\thandleError(fmt.Errorf(\"writing file failed: %w\", err), http.StatusInternalServerError, rw)\n\t\treturn\n\t}\n\n\trw.WriteHeader(http.StatusCreated)\n}\n\n// getMachineState godoc\n// @summary Retrieve machine state\n// @tags Machine State\n// @description Retrieves stored machine state data for a specific cluster node. Validates cluster and host names to prevent path traversal.\n// @produce json\n// @param cluster path string true \"Cluster name\"\n// @param host path string true \"Host name\"\n// @success 200 {object} object \"Machine state JSON data\"\n// @failure 400 {object} ErrorResponse \"Bad Request\"\n// @failure 404 {object} ErrorResponse \"Machine state not enabled or file not found\"\n// @security ApiKeyAuth\n// @router /machine_state/{cluster}/{host} [get]\nfunc (api *RestAPI) getMachineState(rw http.ResponseWriter, r *http.Request) {\n\tif api.MachineStateDir == \"\" {\n\t\thandleError(fmt.Errorf(\"machine state not enabled\"), http.StatusNotFound, rw)\n\t\treturn\n\t}\n\n\tcluster := chi.URLParam(r, \"cluster\")\n\thost := chi.URLParam(r, \"host\")\n\n\tif err := validatePathComponent(cluster, \"cluster name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\tif err := validatePathComponent(host, \"host name\"); err != nil {\n\t\thandleError(err, http.StatusBadRequest, rw)\n\t\treturn\n\t}\n\n\tfilename := filepath.Join(api.MachineStateDir, cluster, fmt.Sprintf(\"%s.json\", host))\n\n\t// Sets the content-type and 'Last-Modified' Header and so on automatically\n\thttp.ServeFile(rw, r, filename)\n}\n","structuredPatch":[{"oldStart":185,"oldLines":7,"newStart":185,"newLines":8,"lines":[" // handleError writes a standardized JSON error response with the given status code."," // It logs the error at WARN level and ensures proper Content-Type headers are set."," func handleError(err error, statusCode int, rw http.ResponseWriter) {","- cclog.Warnf(\"REST ERROR : %s\", err.Error())","+ _, file, line, _ := runtime.Caller(1)","+ cclog.Warnf(\"REST ERROR (%s:%d): %s\", filepath.Base(file), line, err.Error())"," rw.Header().Add(\"Content-Type\", \"application/json\")"," rw.WriteHeader(statusCode)"," if err := json.NewEncoder(rw).Encode(ErrorResponse{"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d6facaa5-7e22-4f22-8c47-e702cd0fbb58","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"7ae9db85-a439-4b4d-8517-befdcf3e2641","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01Xh6xyrEQ1EaDMwBJZ5huAF","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"EtoCCkYICxgCKkAJmFjb0to/GGBQUS6JAEy9jLIDy8mOmarK7qLI6uoU2MNtCFkrSOKMcqCiqQp3kzU5ZWLExgFGQ7bhEwOuI4eTEgxifUpfftKrdWjNR7saDHHH32OG7gNp24ijIiIwRQG40fmQffB1myAwd0qfzfr49ZHmTy1EhOOAjHp1W7slZIvXFMn8jZfV0FU0Rr9sKsEBCKiMZWd4w1DATPgxWo8wy5YaH7/9eTe05gBEHVSs/hzi39wIMoWRjyvL/E5DVjdtQv977WC8JuDS+OJjUSVYC2Tc6og2QDYqu2e+RTl/BWcSCAukD3rj6EeObGJob5s5NOWfXHrTFhY1rVCK93Rpg9HEpRwqD0LCUGqIJz5uW0iaFOWcOBXH7HQex1YATreGWMIcky/l+8CRc9CCAV2l4TWCaPQeNfx842BlUEn5EV7gyNRsrcRxUAz8hLudpiQCShgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":349,"cache_read_input_tokens":21764,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":349},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6w6rnRGAyoVrvV67YCR","type":"assistant","uuid":"949e84fa-7988-42ab-a56c-5beab19caed0","timestamp":"2026-03-16T14:41:08.810Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"0fb73ab2-5576-4b68-ae4b-f176fcec6e42","version":"2.1.76","gitBranch":"hotfix","slug":"expressive-yawning-boole"} +{"parentUuid":"949e84fa-7988-42ab-a56c-5beab19caed0","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01Xh6xyrEQ1EaDMwBJZ5huAF","type":"message","role":"assistant","content":[{"type":"text","text":"The IDE shows a false positive — `runtime` is clearly used on the next line. 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This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, series := range jm.Series {\n x += series.Data[i]\n }\n data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n if len(s.Data) > n {\n n = len(s.Data)\n }\n if len(s.Data) < m {\n m = len(s.Data)\n }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, s := range series {\n x += s.Data[i]\n }\n data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/0075d51a-8bd8-430a-9f74-fa37f9252c52.jsonl"},"uuid":"70123311-64f4-4233-82d7-196082d4535a","timestamp":"2026-03-16T07:45:38.527Z","planContent":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, series := range jm.Series {\n x += series.Data[i]\n }\n data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n if len(s.Data) > n {\n n = len(s.Data)\n }\n if len(s.Data) < m {\n m = len(s.Data)\n }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, s := range series {\n x += s.Data[i]\n }\n data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. 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295→\t\tUnit: jm.Unit,\n 296→\t\tTimestep: jm.Timestep,\n 297→\t\tSeries: make([]Series, 0, len(hosts)),\n 298→\t}\n 299→\tfor hostname, series := range hosts {\n 300→\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n 301→\t\tfor _, series := range series {\n 302→\t\t\tsum += series.Statistics.Avg\n 303→\t\t\tmin = math.Min(min, series.Statistics.Min)\n 304→\t\t\tmax = math.Max(max, series.Statistics.Max)\n 305→\t\t}\n 306→\n 307→\t\tn, m := 0, len(jm.Series[0].Data)\n 308→\t\tfor _, series := range jm.Series {\n 309→\t\t\tif len(series.Data) > n {\n 310→\t\t\t\tn = len(series.Data)\n 311→\t\t\t}\n 312→\t\t\tif len(series.Data) < m {\n 313→\t\t\t\tm = len(series.Data)\n 314→\t\t\t}\n 315→\t\t}\n 316→\n 317→\t\ti, data := 0, make([]Float, len(series[0].Data))\n 318→\t\tfor ; i < m; i++ {\n 319→\t\t\tx := Float(0.0)\n 320→\t\t\tfor _, series := range jm.Series {\n 321→\t\t\t\tx += series.Data[i]\n 322→\t\t\t}\n 323→\t\t\tdata[i] = x\n 324→\t\t}\n 325→\n 326→\t\tfor ; i < n; i++ {\n 327→\t\t\tdata[i] = NaN\n 328→\t\t}\n 329→\n 330→\t\tnodeJm.Series = append(nodeJm.Series, Series{\n 331→\t\t\tHostname: hostname,\n 332→\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n 333→\t\t\tData: data,\n 334→\t\t})\n 335→\t}\n 336→\n 337→\tscopes[MetricScopeNode] = nodeJm\n 338→\treturn true\n 339→}"}]},"uuid":"1afd1419-b90c-441c-9e4d-43c2f2e0f620","timestamp":"2026-03-16T07:45:58.640Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"\tfor _, series := range jm.Series {\n\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n\t}\n\n\tnodeJm := &JobMetric{\n\t\tUnit: jm.Unit,\n\t\tTimestep: jm.Timestep,\n\t\tSeries: make([]Series, 0, len(hosts)),\n\t}\n\tfor hostname, series := range hosts {\n\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n\t\tfor _, series := range series {\n\t\t\tsum += series.Statistics.Avg\n\t\t\tmin = math.Min(min, series.Statistics.Min)\n\t\t\tmax = math.Max(max, series.Statistics.Max)\n\t\t}\n\n\t\tn, m := 0, len(jm.Series[0].Data)\n\t\tfor _, series := range jm.Series {\n\t\t\tif len(series.Data) > n {\n\t\t\t\tn = len(series.Data)\n\t\t\t}\n\t\t\tif len(series.Data) < m {\n\t\t\t\tm = len(series.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, len(series[0].Data))\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, series := range jm.Series {\n\t\t\t\tx += series.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}\n\n\t\tnodeJm.Series = append(nodeJm.Series, Series{\n\t\t\tHostname: hostname,\n\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n\t\t\tData: data,\n\t\t})\n\t}\n\n\tscopes[MetricScopeNode] = nodeJm\n\treturn true\n}","numLines":50,"startLine":290,"totalLines":425}},"sourceToolAssistantUUID":"653f9be7-69b9-4654-96f9-d28def7ea1de","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"1afd1419-b90c-441c-9e4d-43c2f2e0f620","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpiZz2GnfbrsD3BbdaVFZ5","type":"message","role":"assistant","content":[{"type":"text","text":"Now I can see the exact buggy code. Let me apply the fix."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":731,"cache_read_input_tokens":19857,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":731},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PSs7qUjdfsnigQUMyA","type":"assistant","uuid":"49bb930a-b197-425b-baff-afcdf7ff0fbb","timestamp":"2026-03-16T07:46:04.107Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"49bb930a-b197-425b-baff-afcdf7ff0fbb","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GpiZz2GnfbrsD3BbdaVFZ5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NUvFnYGfRkhKFejkP5ve9X","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","old_string":"\t\tn, m := 0, len(jm.Series[0].Data)\n\t\tfor _, series := range jm.Series {\n\t\t\tif len(series.Data) > n {\n\t\t\t\tn = len(series.Data)\n\t\t\t}\n\t\t\tif len(series.Data) < m {\n\t\t\t\tm = len(series.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, len(series[0].Data))\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, series := range jm.Series {\n\t\t\t\tx += series.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}","new_string":"\t\tn, m := 0, len(series[0].Data)\n\t\tfor _, s := range series {\n\t\t\tif len(s.Data) > n {\n\t\t\t\tn = len(s.Data)\n\t\t\t}\n\t\t\tif len(s.Data) < m {\n\t\t\t\tm = len(s.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, n)\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, s := range series {\n\t\t\t\tx += s.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":731,"cache_read_input_tokens":19857,"output_tokens":437,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":731,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6PSs7qUjdfsnigQUMyA","type":"assistant","uuid":"be38eeaf-eac2-4c54-badc-ff31e775b096","timestamp":"2026-03-16T07:46:07.117Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"type":"file-history-snapshot","messageId":"be38eeaf-eac2-4c54-badc-ff31e775b096","snapshot":{"messageId":"70123311-64f4-4233-82d7-196082d4535a","trackedFileBackups":{"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go":{"backupFileName":"c727158a22a91f47@v1","version":1,"backupTime":"2026-03-16T07:46:11.834Z"}},"timestamp":"2026-03-16T07:45:38.749Z"},"isSnapshotUpdate":true} +{"parentUuid":"be38eeaf-eac2-4c54-badc-ff31e775b096","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NUvFnYGfRkhKFejkP5ve9X","toolUseID":"toolu_01NUvFnYGfRkhKFejkP5ve9X","timestamp":"2026-03-16T07:46:11.837Z","uuid":"29376a79-85f4-4bf0-a7c3-0f4859b2e2b9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"be38eeaf-eac2-4c54-badc-ff31e775b096","isSidechain":false,"promptId":"6996e93a-15e5-4605-839c-80588e7ae3fa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NUvFnYGfRkhKFejkP5ve9X","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go has been updated successfully."}]},"uuid":"aec1a4cb-bb21-40e2-8688-ea6135ccd4f3","timestamp":"2026-03-16T07:46:11.837Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","oldString":"\t\tn, m := 0, len(jm.Series[0].Data)\n\t\tfor _, series := range jm.Series {\n\t\t\tif len(series.Data) > n {\n\t\t\t\tn = len(series.Data)\n\t\t\t}\n\t\t\tif len(series.Data) < m {\n\t\t\t\tm = len(series.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, len(series[0].Data))\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, series := range jm.Series {\n\t\t\t\tx += series.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}","newString":"\t\tn, m := 0, len(series[0].Data)\n\t\tfor _, s := range series {\n\t\t\tif len(s.Data) > n {\n\t\t\t\tn = len(s.Data)\n\t\t\t}\n\t\t\tif len(s.Data) < m {\n\t\t\t\tm = len(s.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, n)\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, s := range series {\n\t\t\t\tx += s.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"sort\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// JobData maps metric names to their data organized by scope.\n// Structure: map[metricName]map[scope]*JobMetric\n//\n// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n// This structure allows efficient lookup of metrics at different hierarchical levels.\ntype JobData map[string]map[MetricScope]*JobMetric\n\n// ScopedJobStats maps metric names to statistical summaries organized by scope.\n// Structure: map[metricName]map[scope][]*ScopedStats\n//\n// Used to store pre-computed statistics without the full time series data,\n// reducing memory footprint when only aggregated values are needed.\ntype ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n\n// JobMetric contains time series data and statistics for a single metric.\n//\n// The Series field holds time series data from individual nodes/hardware components,\n// while StatisticsSeries provides aggregated statistics across all series over time.\ntype JobMetric struct {\n\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n\tUnit Unit `json:\"unit\"` // Unit of measurement\n\tSeries []Series `json:\"series\"` // Individual time series data\n\tTimestep int `json:\"timestep\"` // Sampling interval in seconds\n}\n\n// Series represents a single time series of metric measurements.\n//\n// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\ntype Series struct {\n\tID *string `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n\tHostname string `json:\"hostname\"` // Source hostname\n\tData []Float `json:\"data\"` // Time series measurements\n\tStatistics MetricStatistics `json:\"statistics\"` // Statistical summary (min/avg/max)\n}\n\n// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n// Used when full time series data isn't needed, only the aggregated statistics.\ntype ScopedStats struct {\n\tHostname string `json:\"hostname\"` // Source hostname\n\tID *string `json:\"id,omitempty\"` // Optional scope ID\n\tData *MetricStatistics `json:\"data\"` // Statistical summary\n}\n\n// MetricStatistics holds statistical summary values for metric data.\n// Provides the common statistical aggregations used throughout ClusterCockpit.\ntype MetricStatistics struct {\n\tAvg float64 `json:\"avg\"` // Average/mean value\n\tMin float64 `json:\"min\"` // Minimum value\n\tMax float64 `json:\"max\"` // Maximum value\n}\n\n// StatsSeries contains aggregated statistics across multiple time series over time.\n//\n// Instead of storing individual series, this provides statistical summaries at each time step.\n// For example, at time t, Mean[t] is the average value across all series at that time.\n// Percentiles provides specified percentile values at each time step.\ntype StatsSeries struct {\n\tPercentiles map[int][]Float `json:\"percentiles,omitempty\"` // Percentile values over time (e.g., 10th, 50th, 90th)\n\tMean []Float `json:\"mean\"` // Mean values over time\n\tMedian []Float `json:\"median\"` // Median values over time\n\tMin []Float `json:\"min\"` // Minimum values over time\n\tMax []Float `json:\"max\"` // Maximum values over time\n}\n\n// MetricScope defines the hierarchical level at which a metric is measured.\n//\n// Scopes form a hierarchy from coarse-grained (node) to fine-grained (hwthread/accelerator):\n//\n//\tnode > socket > memoryDomain > core > hwthread\n//\taccelerator is a special scope at the same level as hwthread\n//\n// The scopePrecedence map defines numeric ordering for scope comparisons,\n// which is used when aggregating metrics across different scopes.\ntype MetricScope string\n\nconst (\n\tMetricScopeInvalid MetricScope = \"invalid_scope\"\n\n\tMetricScopeNode MetricScope = \"node\"\n\tMetricScopeSocket MetricScope = \"socket\"\n\tMetricScopeMemoryDomain MetricScope = \"memoryDomain\"\n\tMetricScopeCore MetricScope = \"core\"\n\tMetricScopeHWThread MetricScope = \"hwthread\"\n\n\t// TODO: Add Job and Application scopes\n\n\tMetricScopeAccelerator MetricScope = \"accelerator\"\n)\n\nvar metricScopeGranularity map[MetricScope]int = map[MetricScope]int{\n\tMetricScopeNode: 10,\n\tMetricScopeSocket: 5,\n\tMetricScopeMemoryDomain: 4,\n\tMetricScopeCore: 3,\n\tMetricScopeHWThread: 2,\n\t/* Special-Case Accelerator\n\t * -> No conversion possible if native scope is HWTHREAD\n\t * -> Therefore needs to be less than HWTREAD, else max() would return unhandled case\n\t * -> If nativeScope is accelerator, accelerator metrics return correctly\n\t */\n\tMetricScopeAccelerator: 1,\n\n\tMetricScopeInvalid: -1,\n}\n\nfunc (e *MetricScope) LT(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a < b\n}\n\nfunc (e *MetricScope) LTE(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a <= b\n}\n\nfunc (e *MetricScope) Max(other MetricScope) MetricScope {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\tif a > b {\n\t\treturn *e\n\t}\n\treturn other\n}\n\nfunc (e *MetricScope) UnmarshalGQL(v any) error {\n\tstr, ok := v.(string)\n\tif !ok {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > enums must be strings\")\n\t}\n\n\t*e = MetricScope(str)\n\tif !e.Valid() {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > %s is not a valid MetricScope\", str)\n\t}\n\treturn nil\n}\n\nfunc (e MetricScope) MarshalGQL(w io.Writer) {\n\tfmt.Fprintf(w, \"\\\"%s\\\"\", e)\n}\n\nfunc (e MetricScope) Valid() bool {\n\tgran, ok := metricScopeGranularity[e]\n\treturn ok && gran > 0\n}\n\nfunc (jd *JobData) Size() int {\n\tn := 128\n\tfor _, scopes := range *jd {\n\t\tfor _, metric := range scopes {\n\t\t\tif metric.StatisticsSeries != nil {\n\t\t\t\tn += len(metric.StatisticsSeries.Max)\n\t\t\t\tn += len(metric.StatisticsSeries.Mean)\n\t\t\t\tn += len(metric.StatisticsSeries.Median)\n\t\t\t\tn += len(metric.StatisticsSeries.Min)\n\t\t\t}\n\n\t\t\tfor _, series := range metric.Series {\n\t\t\t\tn += len(series.Data)\n\t\t\t}\n\t\t}\n\t}\n\treturn n * int(unsafe.Sizeof(Float(0)))\n}\n\nconst smooth bool = false\n\nfunc (jm *JobMetric) AddStatisticsSeries() {\n\tif jm.StatisticsSeries != nil || len(jm.Series) < 4 {\n\t\treturn\n\t}\n\n\tn, m := 0, len(jm.Series[0].Data)\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t\tif len(series.Data) < m {\n\t\t\tm = len(series.Data)\n\t\t}\n\t}\n\n\t// mean := make([]Float, n)\n\tmin, median, max := make([]Float, n), make([]Float, n), make([]Float, n)\n\ti := 0\n\tfor ; i < m; i++ {\n\t\tseriesCount := len(jm.Series)\n\t\t// ssum := 0.0\n\t\tsmin, smed, smax := math.MaxFloat32, make([]float64, seriesCount), -math.MaxFloat32\n\t\tnotnan := 0\n\t\tfor j := range seriesCount {\n\t\t\tx := float64(jm.Series[j].Data[i])\n\t\t\tif math.IsNaN(x) {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tnotnan += 1\n\t\t\t// ssum += x\n\t\t\tsmed[j] = x\n\t\t\tsmin = math.Min(smin, x)\n\t\t\tsmax = math.Max(smax, x)\n\t\t}\n\n\t\tif notnan < 3 {\n\t\t\tmin[i] = NaN\n\t\t\t// mean[i] = NaN\n\t\t\tmedian[i] = NaN\n\t\t\tmax[i] = NaN\n\t\t} else {\n\t\t\tmin[i] = Float(smin)\n\t\t\t// mean[i] = Float(ssum / float64(notnan))\n\t\t\tmax[i] = Float(smax)\n\n\t\t\tmedianRaw, err := util.Median(smed)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(medianRaw)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor ; i < n; i++ {\n\t\tmin[i] = NaN\n\t\t// mean[i] = NaN\n\t\tmedian[i] = NaN\n\t\tmax[i] = NaN\n\t}\n\n\tif smooth {\n\t\tfor i := 2; i < len(median)-2; i++ {\n\t\t\tif min[i].IsNaN() {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tmin[i] = (min[i-2] + min[i-1] + min[i] + min[i+1] + min[i+2]) / 5\n\t\t\tmax[i] = (max[i-2] + max[i-1] + max[i] + max[i+1] + max[i+2]) / 5\n\t\t\t// mean[i] = (mean[i-2] + mean[i-1] + mean[i] + mean[i+1] + mean[i+2]) / 5\n\t\t\t// Reduce Median further\n\t\t\tsmoothRaw := []float64{float64(median[i-2]), float64(median[i-1]), float64(median[i]), float64(median[i+1]), float64(median[i+2])}\n\t\t\tsmoothMedian, err := util.Median(smoothRaw)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(smoothMedian)\n\t\t\t}\n\t\t}\n\t}\n\n\tjm.StatisticsSeries = &StatsSeries{Median: median, Min: min, Max: max} // Mean: mean\n}\n\nfunc (jd *JobData) AddNodeScope(metric string) bool {\n\tscopes, ok := (*jd)[metric]\n\tif !ok {\n\t\treturn false\n\t}\n\n\tmaxScope := MetricScopeInvalid\n\tfor scope := range scopes {\n\t\tmaxScope = maxScope.Max(scope)\n\t}\n\n\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n\t\treturn false\n\t}\n\n\tjm := scopes[maxScope]\n\thosts := make(map[string][]Series, 32)\n\tfor _, series := range jm.Series {\n\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n\t}\n\n\tnodeJm := &JobMetric{\n\t\tUnit: jm.Unit,\n\t\tTimestep: jm.Timestep,\n\t\tSeries: make([]Series, 0, len(hosts)),\n\t}\n\tfor hostname, series := range hosts {\n\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n\t\tfor _, series := range series {\n\t\t\tsum += series.Statistics.Avg\n\t\t\tmin = math.Min(min, series.Statistics.Min)\n\t\t\tmax = math.Max(max, series.Statistics.Max)\n\t\t}\n\n\t\tn, m := 0, len(jm.Series[0].Data)\n\t\tfor _, series := range jm.Series {\n\t\t\tif len(series.Data) > n {\n\t\t\t\tn = len(series.Data)\n\t\t\t}\n\t\t\tif len(series.Data) < m {\n\t\t\t\tm = len(series.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, len(series[0].Data))\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, series := range jm.Series {\n\t\t\t\tx += series.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}\n\n\t\tnodeJm.Series = append(nodeJm.Series, Series{\n\t\t\tHostname: hostname,\n\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n\t\t\tData: data,\n\t\t})\n\t}\n\n\tscopes[MetricScopeNode] = nodeJm\n\treturn true\n}\n\nfunc (jd *JobData) RoundMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *jd {\n\t\tfor _, jm := range scopes {\n\t\t\tfor index := range jm.Series {\n\t\t\t\tjm.Series[index].Statistics = MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(jm.Series[index].Statistics.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(jm.Series[index].Statistics.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(jm.Series[index].Statistics.Max*100) / 100),\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (sjs *ScopedJobStats) RoundScopedMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *sjs {\n\t\tfor _, stats := range scopes {\n\t\t\tfor index := range stats {\n\t\t\t\troundedStats := MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(stats[index].Data.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(stats[index].Data.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(stats[index].Data.Max*100) / 100),\n\t\t\t\t}\n\t\t\t\tstats[index].Data = &roundedStats\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (jm *JobMetric) AddPercentiles(ps []int) bool {\n\tif jm.StatisticsSeries == nil {\n\t\tjm.AddStatisticsSeries()\n\t}\n\n\tif len(jm.Series) < 3 {\n\t\treturn false\n\t}\n\n\tif jm.StatisticsSeries.Percentiles == nil {\n\t\tjm.StatisticsSeries.Percentiles = make(map[int][]Float, len(ps))\n\t}\n\n\tn := 0\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t}\n\n\tdata := make([][]float64, n)\n\tfor i := range n {\n\t\tvals := make([]float64, 0, len(jm.Series))\n\t\tfor _, series := range jm.Series {\n\t\t\tif i < len(series.Data) {\n\t\t\t\tvals = append(vals, float64(series.Data[i]))\n\t\t\t}\n\t\t}\n\n\t\tsort.Float64s(vals)\n\t\tdata[i] = vals\n\t}\n\n\tfor _, p := range ps {\n\t\tif p < 1 || p > 99 {\n\t\t\tpanic(\"SCHEMA/METRICS > invalid percentile\")\n\t\t}\n\n\t\tif _, ok := jm.StatisticsSeries.Percentiles[p]; ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tpercentiles := make([]Float, n)\n\t\tfor i := range n {\n\t\t\tsorted := data[i]\n\t\t\tpercentiles[i] = Float(sorted[(len(sorted)*p)/100])\n\t\t}\n\n\t\tjm.StatisticsSeries.Percentiles[p] = percentiles\n\t}\n\n\treturn true\n}\n","structuredPatch":[{"oldStart":304,"oldLines":21,"newStart":304,"newLines":21,"lines":[" max = math.Max(max, series.Statistics.Max)"," }"," ","- n, m := 0, len(jm.Series[0].Data)","- for _, series := range jm.Series {","- if len(series.Data) > n {","- n = len(series.Data)","+ n, m := 0, len(series[0].Data)","+ for _, s := range series {","+ if len(s.Data) > n {","+ n = len(s.Data)"," }","- if len(series.Data) < m {","- m = len(series.Data)","+ if len(s.Data) < m {","+ m = len(s.Data)"," }"," }"," ","- i, data := 0, make([]Float, len(series[0].Data))","+ i, data := 0, make([]Float, n)"," for ; i < m; i++ {"," x := Float(0.0)","- for _, series := range jm.Series {","- x += series.Data[i]","+ for _, s := range series {","+ x += s.Data[i]"," }"," data[i] = x"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be38eeaf-eac2-4c54-badc-ff31e775b096","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"aec1a4cb-bb21-40e2-8688-ea6135ccd4f3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Sju9oLnwgsYi1BGhTc4rsP","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the fix looks correct and check if there are existing tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":497,"cache_read_input_tokens":20588,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":497},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PTqYMsHSp63ziUPA6a","type":"assistant","uuid":"d58c8ef6-45f6-4b2a-ad0d-8f2b003e515c","timestamp":"2026-03-16T07:46:16.294Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"d58c8ef6-45f6-4b2a-ad0d-8f2b003e515c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Sju9oLnwgsYi1BGhTc4rsP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QtJ3Ce4NygxVt79aP98Pj4","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","offset":306,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":497,"cache_read_input_tokens":20588,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":497},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PTqYMsHSp63ziUPA6a","type":"assistant","uuid":"76b3228d-095c-4d67-9dbb-52803152778c","timestamp":"2026-03-16T07:46:16.710Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"76b3228d-095c-4d67-9dbb-52803152778c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QtJ3Ce4NygxVt79aP98Pj4","toolUseID":"toolu_01QtJ3Ce4NygxVt79aP98Pj4","timestamp":"2026-03-16T07:46:16.740Z","uuid":"e6f5405b-242d-42f5-8fc0-1946449fbe22","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"76b3228d-095c-4d67-9dbb-52803152778c","isSidechain":false,"promptId":"6996e93a-15e5-4605-839c-80588e7ae3fa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QtJ3Ce4NygxVt79aP98Pj4","type":"tool_result","content":" 306→\n 307→\t\tn, m := 0, len(series[0].Data)\n 308→\t\tfor _, s := range series {\n 309→\t\t\tif len(s.Data) > n {\n 310→\t\t\t\tn = len(s.Data)\n 311→\t\t\t}\n 312→\t\t\tif len(s.Data) < m {\n 313→\t\t\t\tm = len(s.Data)\n 314→\t\t\t}\n 315→\t\t}\n 316→\n 317→\t\ti, data := 0, make([]Float, n)\n 318→\t\tfor ; i < m; i++ {\n 319→\t\t\tx := Float(0.0)\n 320→\t\t\tfor _, s := range series {\n 321→\t\t\t\tx += s.Data[i]\n 322→\t\t\t}\n 323→\t\t\tdata[i] = x\n 324→\t\t}\n 325→\n 326→\t\tfor ; i < n; i++ {\n 327→\t\t\tdata[i] = NaN\n 328→\t\t}\n 329→\n 330→\t\tnodeJm.Series = append(nodeJm.Series, Series{\n 331→\t\t\tHostname: hostname,\n 332→\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n 333→\t\t\tData: data,\n 334→\t\t})\n 335→\t}"}]},"uuid":"9c608de6-632a-4609-9bc2-6253abda8c1f","timestamp":"2026-03-16T07:46:16.739Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"\n\t\tn, m := 0, len(series[0].Data)\n\t\tfor _, s := range series {\n\t\t\tif len(s.Data) > n {\n\t\t\t\tn = len(s.Data)\n\t\t\t}\n\t\t\tif len(s.Data) < m {\n\t\t\t\tm = len(s.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, n)\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, s := range series {\n\t\t\t\tx += s.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}\n\n\t\tnodeJm.Series = append(nodeJm.Series, Series{\n\t\t\tHostname: hostname,\n\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n\t\t\tData: data,\n\t\t})\n\t}","numLines":30,"startLine":306,"totalLines":425}},"sourceToolAssistantUUID":"76b3228d-095c-4d67-9dbb-52803152778c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"9c608de6-632a-4609-9bc2-6253abda8c1f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Sju9oLnwgsYi1BGhTc4rsP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AkcqtMqgR31wtnETAcDK7U","name":"Glob","input":{"pattern":"**/cc-lib/schema/*_test.go","path":"/Users/jan/prg/ClusterCockpit"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":497,"cache_read_input_tokens":20588,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":497},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PTqYMsHSp63ziUPA6a","type":"assistant","uuid":"5152db45-e24e-408d-9424-446e40603962","timestamp":"2026-03-16T07:46:17.212Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"5152db45-e24e-408d-9424-446e40603962","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Glob","command":"callback"},"parentToolUseID":"toolu_01AkcqtMqgR31wtnETAcDK7U","toolUseID":"toolu_01AkcqtMqgR31wtnETAcDK7U","timestamp":"2026-03-16T07:46:33.234Z","uuid":"5ab83f34-d10a-46ab-8eda-83635d29fed6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"5152db45-e24e-408d-9424-446e40603962","isSidechain":false,"promptId":"6996e93a-15e5-4605-839c-80588e7ae3fa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AkcqtMqgR31wtnETAcDK7U","type":"tool_result","content":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/user_test.go\n/Users/jan/prg/ClusterCockpit/cc-lib/schema/validate_test.go\n/Users/jan/prg/ClusterCockpit/cc-lib/schema/float_test.go"}]},"uuid":"71e04280-0681-4079-9796-877449b89f3f","timestamp":"2026-03-16T07:46:33.234Z","toolUseResult":{"filenames":["/Users/jan/prg/ClusterCockpit/cc-lib/schema/user_test.go","/Users/jan/prg/ClusterCockpit/cc-lib/schema/validate_test.go","/Users/jan/prg/ClusterCockpit/cc-lib/schema/float_test.go"],"durationMs":319,"numFiles":3,"truncated":false},"sourceToolAssistantUUID":"5152db45-e24e-408d-9424-446e40603962","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"71e04280-0681-4079-9796-877449b89f3f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01YR3kMMGwcrfLJEEXRUf8uw","type":"message","role":"assistant","content":[{"type":"text","text":"The diagnostics are just the LSP having trouble with multi-file types — those are defined elsewhere in the package. The fix looks correct. Now let me write a unit test.\n\nLet me check the existing types to write a proper test."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":965,"cache_read_input_tokens":21085,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":965},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PVR1YP5ubVHoiAgXfv","type":"assistant","uuid":"777309a1-1539-4cad-b482-ce3ee38e0994","timestamp":"2026-03-16T07:46:37.910Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"777309a1-1539-4cad-b482-ce3ee38e0994","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01YR3kMMGwcrfLJEEXRUf8uw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015Gj9GgBiw1KRFnrzk7dmEA","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","offset":1,"limit":60},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":965,"cache_read_input_tokens":21085,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":965},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PVR1YP5ubVHoiAgXfv","type":"assistant","uuid":"9d00f0b1-193b-410f-91a2-879caffb1986","timestamp":"2026-03-16T07:46:38.383Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"9d00f0b1-193b-410f-91a2-879caffb1986","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015Gj9GgBiw1KRFnrzk7dmEA","toolUseID":"toolu_015Gj9GgBiw1KRFnrzk7dmEA","timestamp":"2026-03-16T07:46:38.391Z","uuid":"70d03270-eb97-449a-bd7c-f50d648e9a9e","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"9d00f0b1-193b-410f-91a2-879caffb1986","isSidechain":false,"promptId":"6996e93a-15e5-4605-839c-80588e7ae3fa","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015Gj9GgBiw1KRFnrzk7dmEA","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-lib.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package schema\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"io\"\n 11→\t\"math\"\n 12→\t\"sort\"\n 13→\t\"unsafe\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 16→)\n 17→\n 18→// JobData maps metric names to their data organized by scope.\n 19→// Structure: map[metricName]map[scope]*JobMetric\n 20→//\n 21→// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n 22→// This structure allows efficient lookup of metrics at different hierarchical levels.\n 23→type JobData map[string]map[MetricScope]*JobMetric\n 24→\n 25→// ScopedJobStats maps metric names to statistical summaries organized by scope.\n 26→// Structure: map[metricName]map[scope][]*ScopedStats\n 27→//\n 28→// Used to store pre-computed statistics without the full time series data,\n 29→// reducing memory footprint when only aggregated values are needed.\n 30→type ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n 31→\n 32→// JobMetric contains time series data and statistics for a single metric.\n 33→//\n 34→// The Series field holds time series data from individual nodes/hardware components,\n 35→// while StatisticsSeries provides aggregated statistics across all series over time.\n 36→type JobMetric struct {\n 37→\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n 38→\tUnit Unit `json:\"unit\"` // Unit of measurement\n 39→\tSeries []Series `json:\"series\"` // Individual time series data\n 40→\tTimestep int `json:\"timestep\"` // Sampling interval in seconds\n 41→}\n 42→\n 43→// Series represents a single time series of metric measurements.\n 44→//\n 45→// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n 46→// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\n 47→type Series struct {\n 48→\tID *string `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n 49→\tHostname string `json:\"hostname\"` // Source hostname\n 50→\tData []Float `json:\"data\"` // Time series measurements\n 51→\tStatistics MetricStatistics `json:\"statistics\"` // Statistical summary (min/avg/max)\n 52→}\n 53→\n 54→// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n 55→// Used when full time series data isn't needed, only the aggregated statistics.\n 56→type ScopedStats struct {\n 57→\tHostname string `json:\"hostname\"` // Source hostname\n 58→\tID *string `json:\"id,omitempty\"` // Optional scope ID\n 59→\tData *MetricStatistics `json:\"data\"` // Statistical summary\n 60→}"}]},"uuid":"b3aaba50-a0ce-4da3-aeeb-45487a367040","timestamp":"2026-03-16T07:46:38.391Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"sort\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// JobData maps metric names to their data organized by scope.\n// Structure: map[metricName]map[scope]*JobMetric\n//\n// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n// This structure allows efficient lookup of metrics at different hierarchical levels.\ntype JobData map[string]map[MetricScope]*JobMetric\n\n// ScopedJobStats maps metric names to statistical summaries organized by scope.\n// Structure: map[metricName]map[scope][]*ScopedStats\n//\n// Used to store pre-computed statistics without the full time series data,\n// reducing memory footprint when only aggregated values are needed.\ntype ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n\n// JobMetric contains time series data and statistics for a single metric.\n//\n// The Series field holds time series data from individual nodes/hardware components,\n// while StatisticsSeries provides aggregated statistics across all series over time.\ntype JobMetric struct {\n\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n\tUnit Unit `json:\"unit\"` // Unit of measurement\n\tSeries []Series `json:\"series\"` // Individual time series data\n\tTimestep int `json:\"timestep\"` // Sampling interval in seconds\n}\n\n// Series represents a single time series of metric measurements.\n//\n// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\ntype Series struct {\n\tID *string `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n\tHostname string `json:\"hostname\"` // Source hostname\n\tData []Float `json:\"data\"` // Time series measurements\n\tStatistics MetricStatistics `json:\"statistics\"` // Statistical summary (min/avg/max)\n}\n\n// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n// Used when full time series data isn't needed, only the aggregated statistics.\ntype ScopedStats struct {\n\tHostname string `json:\"hostname\"` // Source hostname\n\tID *string `json:\"id,omitempty\"` // Optional scope ID\n\tData *MetricStatistics `json:\"data\"` // Statistical summary\n}","numLines":60,"startLine":1,"totalLines":425}},"sourceToolAssistantUUID":"9d00f0b1-193b-410f-91a2-879caffb1986","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} 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{\n 274→\tscopes, ok := (*jd)[metric]\n 275→\tif !ok {\n 276→\t\treturn false\n 277→\t}\n 278→\n 279→\tmaxScope := MetricScopeInvalid\n 280→\tfor scope := range scopes {\n 281→\t\tmaxScope = maxScope.Max(scope)\n 282→\t}\n 283→\n 284→\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n 285→\t\treturn false\n 286→\t}\n 287→\n 288→\tjm := scopes[maxScope]\n 289→\thosts := make(map[string][]Series, 32)\n 290→\tfor _, series := range jm.Series {\n 291→\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n 292→\t}\n 293→\n 294→\tnodeJm := &JobMetric{"}]},"uuid":"8f04af38-9dc9-4bc4-8415-c10f9d26e89d","timestamp":"2026-03-16T07:46:39.107Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"\tjm.StatisticsSeries = &StatsSeries{Median: median, Min: min, Max: max} // Mean: mean\n}\n\nfunc (jd *JobData) AddNodeScope(metric string) bool {\n\tscopes, ok := (*jd)[metric]\n\tif !ok {\n\t\treturn false\n\t}\n\n\tmaxScope := MetricScopeInvalid\n\tfor scope := range scopes {\n\t\tmaxScope = maxScope.Max(scope)\n\t}\n\n\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n\t\treturn false\n\t}\n\n\tjm := scopes[maxScope]\n\thosts := make(map[string][]Series, 32)\n\tfor _, series := range jm.Series {\n\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n\t}\n\n\tnodeJm := &JobMetric{","numLines":25,"startLine":270,"totalLines":425}},"sourceToolAssistantUUID":"b09529c5-61d1-4d62-8acc-146ccb658387","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"8f04af38-9dc9-4bc4-8415-c10f9d26e89d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PZkBCmkYzXCbnXPn1AecCa","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check Float and NaN types, and MetricStatistics."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1623,"cache_read_input_tokens":22050,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1623},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PVrHKK7cqTcGDG5vcA","type":"assistant","uuid":"3ba4b813-4346-4118-9985-0060a55f56fe","timestamp":"2026-03-16T07:46:42.298Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"3ba4b813-4346-4118-9985-0060a55f56fe","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PZkBCmkYzXCbnXPn1AecCa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017v6S1hGxqLj3jq3n9n5yZG","name":"Grep","input":{"pattern":"type Float 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`json:\"max\"` // Maximum value\n 68→}\n 69→\n 70→// StatsSeries contains aggregated statistics across multiple time series over time.\n 71→//\n 72→// Instead of storing individual series, this provides statistical summaries at each time step.\n 73→// For example, at time t, Mean[t] is the average value across all series at that time."}]},"uuid":"ee134bd3-21a4-4174-bd9b-4040630c1f91","timestamp":"2026-03-16T07:46:49.614Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"type MetricStatistics struct {\n\tAvg float64 `json:\"avg\"` // Average/mean value\n\tMin float64 `json:\"min\"` // Minimum value\n\tMax float64 `json:\"max\"` // Maximum value\n}\n\n// StatsSeries contains aggregated statistics across multiple time series over time.\n//\n// Instead of storing individual series, this provides statistical summaries at each time step.\n// For example, at time t, Mean[t] is the average value across all series at that 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but in metric data it's common to have missing\n20:// or invalid measurements that should be represented as null in JSON. This type allows NaN values\n25:// - NaN values marshal to JSON null\n26:// - JSON null unmarshals to NaN\n39:\tNaN Float = Float(math.NaN())\n43:func (f Float) IsNaN() bool {\n44:\treturn math.IsNaN(float64(f))\n51:// ConvertToFloat converts a regular float64 to a Float, treating -1.0 as a sentinel for NaN.\n55:\t\treturn NaN\n62:// NaN values are serialized as JSON null. Regular float values are\n65:\tif f.IsNaN() {\n73:// JSON null is deserialized as NaN. Numeric strings are parsed as float64\n78:\t\t*f = NaN\n103:// NaN will be serialized to `null`.\n105:\tif f.IsNaN() {\n114:// encoding/json. NaN data points are serialized as null. Only used via\n139:\t\tif s.Data[i].IsNaN() {\n150:// NaN values in the Float slice will remain as NaN in the float64 slice.\n174:// It efficiently marshals a slice of Float values, converting NaN to null.\n183:\t\tif fa[i].IsNaN() {"}]},"uuid":"24cb098e-731d-40d7-929d-3e4592ee1454","timestamp":"2026-03-16T07:46:50.252Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"17:// Float is a custom float64 type with special handling for NaN values in JSON and GraphQL serialization.\n19:// Standard Go encoding/json treats NaN as an error, but in metric data it's common to have missing\n20:// or invalid measurements that should be represented as null in JSON. 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Let me write it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":776,"cache_read_input_tokens":24457,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":776},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PWfmaVbBAkJaJfwn22","type":"assistant","uuid":"2adba59c-d830-4920-b49f-a6465ff9da0b","timestamp":"2026-03-16T07:46:53.471Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"type":"file-history-snapshot","messageId":"2486f437-cbbf-46b6-84cb-ba1c60e206ed","snapshot":{"messageId":"70123311-64f4-4233-82d7-196082d4535a","trackedFileBackups":{"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go":{"backupFileName":"c727158a22a91f47@v1","version":1,"backupTime":"2026-03-16T07:46:11.834Z"},"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics_test.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-16T07:47:10.318Z"}},"timestamp":"2026-03-16T07:45:38.749Z"},"isSnapshotUpdate":true} +{"parentUuid":"2adba59c-d830-4920-b49f-a6465ff9da0b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017UaxmJuc1zrMovoyBTPv75","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011TuQwzpxYhyjw45S3wkG6L","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"testing\"\n)\n\nfunc TestAddNodeScope(t *testing.T) {\n\t// Two hosts with core-level data of different lengths.\n\t// host1 has 2 cores with 3 data points each.\n\t// host2 has 2 cores with 5 data points each.\n\tjd := JobData{\n\t\t\"flops_any\": {\n\t\t\tMetricScopeCore: &JobMetric{\n\t\t\t\tUnit: Unit{Base: \"F/s\"},\n\t\t\t\tTimestep: 10,\n\t\t\t\tSeries: []Series{\n\t\t\t\t\t{Hostname: \"host1\", Data: []Float{1, 2, 3}, Statistics: MetricStatistics{Min: 1, Avg: 2, Max: 3}},\n\t\t\t\t\t{Hostname: \"host1\", Data: []Float{4, 5, 6}, Statistics: MetricStatistics{Min: 4, Avg: 5, Max: 6}},\n\t\t\t\t\t{Hostname: \"host2\", Data: []Float{10, 20, 30, 40, 50}, Statistics: MetricStatistics{Min: 10, Avg: 30, Max: 50}},\n\t\t\t\t\t{Hostname: \"host2\", Data: []Float{100, 200, 300, 400, 500}, Statistics: MetricStatistics{Min: 100, Avg: 300, Max: 500}},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tok := jd.AddNodeScope(\"flops_any\")\n\tif !ok {\n\t\tt.Fatal(\"AddNodeScope returned false\")\n\t}\n\n\tnodeMetric, exists := jd[\"flops_any\"][MetricScopeNode]\n\tif !exists {\n\t\tt.Fatal(\"node scope not created\")\n\t}\n\n\tif len(nodeMetric.Series) != 2 {\n\t\tt.Fatalf(\"expected 2 node series, got %d\", len(nodeMetric.Series))\n\t}\n\n\t// Build a map for deterministic checking (range over map is random order).\n\tbyHost := make(map[string]Series)\n\tfor _, s := range nodeMetric.Series {\n\t\tbyHost[s.Hostname] = s\n\t}\n\n\t// host1: sum of cores = [1+4, 2+5, 3+6] = [5, 7, 9], length 3\n\th1 := byHost[\"host1\"]\n\tif len(h1.Data) != 3 {\n\t\tt.Fatalf(\"host1: expected 3 data points, got %d\", len(h1.Data))\n\t}\n\texpectH1 := []Float{5, 7, 9}\n\tfor i, v := range expectH1 {\n\t\tif h1.Data[i] != v {\n\t\t\tt.Errorf(\"host1 data[%d]: expected %v, got %v\", i, v, h1.Data[i])\n\t\t}\n\t}\n\n\t// host2: sum of cores = [110, 220, 330, 440, 550], length 5\n\th2 := byHost[\"host2\"]\n\tif len(h2.Data) != 5 {\n\t\tt.Fatalf(\"host2: expected 5 data points, got %d\", len(h2.Data))\n\t}\n\texpectH2 := []Float{110, 220, 330, 440, 550}\n\tfor i, v := range expectH2 {\n\t\tif h2.Data[i] != v {\n\t\t\tt.Errorf(\"host2 data[%d]: expected %v, got %v\", i, v, h2.Data[i])\n\t\t}\n\t}\n}\n\nfunc TestAddNodeScopeUnevenCores(t *testing.T) {\n\t// Same host, cores with different data lengths.\n\tjd := JobData{\n\t\t\"mem_bw\": {\n\t\t\tMetricScopeCore: &JobMetric{\n\t\t\t\tUnit: Unit{Base: \"B/s\"},\n\t\t\t\tTimestep: 10,\n\t\t\t\tSeries: []Series{\n\t\t\t\t\t{Hostname: \"node1\", Data: []Float{1, 2, 3}, Statistics: MetricStatistics{Min: 1, Avg: 2, Max: 3}},\n\t\t\t\t\t{Hostname: \"node1\", Data: []Float{10, 20, 30, 40, 50}, Statistics: MetricStatistics{Min: 10, Avg: 30, Max: 50}},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tok := jd.AddNodeScope(\"mem_bw\")\n\tif !ok {\n\t\tt.Fatal(\"AddNodeScope returned false\")\n\t}\n\n\tnodeMetric := jd[\"mem_bw\"][MetricScopeNode]\n\tif len(nodeMetric.Series) != 1 {\n\t\tt.Fatalf(\"expected 1 node series, got %d\", len(nodeMetric.Series))\n\t}\n\n\ts := nodeMetric.Series[0]\n\t// n=5 (max length), m=3 (min length)\n\t// data[0..2] = sum, data[3..4] = NaN\n\tif len(s.Data) != 5 {\n\t\tt.Fatalf(\"expected 5 data points, got %d\", len(s.Data))\n\t}\n\n\texpect := []Float{11, 22, 33}\n\tfor i, v := range expect {\n\t\tif s.Data[i] != v {\n\t\t\tt.Errorf(\"data[%d]: expected %v, got %v\", i, v, s.Data[i])\n\t\t}\n\t}\n\n\t// Remaining should be NaN\n\tfor i := 3; 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This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"testing\"\n)\n\nfunc TestAddNodeScope(t *testing.T) {\n\t// Two hosts with core-level data of different lengths.\n\t// host1 has 2 cores with 3 data points each.\n\t// host2 has 2 cores with 5 data points each.\n\tjd := JobData{\n\t\t\"flops_any\": {\n\t\t\tMetricScopeCore: &JobMetric{\n\t\t\t\tUnit: Unit{Base: \"F/s\"},\n\t\t\t\tTimestep: 10,\n\t\t\t\tSeries: []Series{\n\t\t\t\t\t{Hostname: \"host1\", Data: []Float{1, 2, 3}, Statistics: MetricStatistics{Min: 1, Avg: 2, Max: 3}},\n\t\t\t\t\t{Hostname: \"host1\", Data: []Float{4, 5, 6}, Statistics: MetricStatistics{Min: 4, Avg: 5, Max: 6}},\n\t\t\t\t\t{Hostname: \"host2\", Data: []Float{10, 20, 30, 40, 50}, Statistics: MetricStatistics{Min: 10, Avg: 30, Max: 50}},\n\t\t\t\t\t{Hostname: \"host2\", Data: []Float{100, 200, 300, 400, 500}, Statistics: MetricStatistics{Min: 100, Avg: 300, Max: 500}},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tok := jd.AddNodeScope(\"flops_any\")\n\tif !ok {\n\t\tt.Fatal(\"AddNodeScope returned false\")\n\t}\n\n\tnodeMetric, exists := jd[\"flops_any\"][MetricScopeNode]\n\tif !exists {\n\t\tt.Fatal(\"node scope not created\")\n\t}\n\n\tif len(nodeMetric.Series) != 2 {\n\t\tt.Fatalf(\"expected 2 node series, got %d\", len(nodeMetric.Series))\n\t}\n\n\t// Build a map for deterministic checking (range over map is random order).\n\tbyHost := make(map[string]Series)\n\tfor _, s := range nodeMetric.Series {\n\t\tbyHost[s.Hostname] = s\n\t}\n\n\t// host1: sum of cores = [1+4, 2+5, 3+6] = [5, 7, 9], length 3\n\th1 := byHost[\"host1\"]\n\tif len(h1.Data) != 3 {\n\t\tt.Fatalf(\"host1: expected 3 data points, got %d\", len(h1.Data))\n\t}\n\texpectH1 := []Float{5, 7, 9}\n\tfor i, v := range expectH1 {\n\t\tif h1.Data[i] != v {\n\t\t\tt.Errorf(\"host1 data[%d]: expected %v, got %v\", i, v, h1.Data[i])\n\t\t}\n\t}\n\n\t// host2: sum of cores = [110, 220, 330, 440, 550], length 5\n\th2 := byHost[\"host2\"]\n\tif len(h2.Data) != 5 {\n\t\tt.Fatalf(\"host2: expected 5 data points, got %d\", len(h2.Data))\n\t}\n\texpectH2 := []Float{110, 220, 330, 440, 550}\n\tfor i, v := range expectH2 {\n\t\tif h2.Data[i] != v {\n\t\t\tt.Errorf(\"host2 data[%d]: expected %v, got %v\", i, v, h2.Data[i])\n\t\t}\n\t}\n}\n\nfunc TestAddNodeScopeUnevenCores(t *testing.T) {\n\t// Same host, cores with different data lengths.\n\tjd := JobData{\n\t\t\"mem_bw\": {\n\t\t\tMetricScopeCore: &JobMetric{\n\t\t\t\tUnit: Unit{Base: \"B/s\"},\n\t\t\t\tTimestep: 10,\n\t\t\t\tSeries: []Series{\n\t\t\t\t\t{Hostname: \"node1\", Data: []Float{1, 2, 3}, Statistics: MetricStatistics{Min: 1, Avg: 2, Max: 3}},\n\t\t\t\t\t{Hostname: \"node1\", Data: []Float{10, 20, 30, 40, 50}, Statistics: MetricStatistics{Min: 10, Avg: 30, Max: 50}},\n\t\t\t\t},\n\t\t\t},\n\t\t},\n\t}\n\n\tok := jd.AddNodeScope(\"mem_bw\")\n\tif !ok {\n\t\tt.Fatal(\"AddNodeScope returned false\")\n\t}\n\n\tnodeMetric := jd[\"mem_bw\"][MetricScopeNode]\n\tif len(nodeMetric.Series) != 1 {\n\t\tt.Fatalf(\"expected 1 node series, got %d\", len(nodeMetric.Series))\n\t}\n\n\ts := nodeMetric.Series[0]\n\t// n=5 (max length), m=3 (min length)\n\t// data[0..2] = sum, data[3..4] = NaN\n\tif len(s.Data) != 5 {\n\t\tt.Fatalf(\"expected 5 data points, got %d\", len(s.Data))\n\t}\n\n\texpect := []Float{11, 22, 33}\n\tfor i, v := range expect {\n\t\tif s.Data[i] != v {\n\t\t\tt.Errorf(\"data[%d]: expected %v, got %v\", i, v, s.Data[i])\n\t\t}\n\t}\n\n\t// Remaining should be NaN\n\tfor i := 3; 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Here's a summary of what was done:\n\n**Fix applied in cc-lib** (`schema/metrics.go:307-324`):\n\n1. **`n`/`m` now computed from local `series`** (current hostname's sub-node series) instead of `jm.Series` (all hostnames) — fixes the crash where `data` was undersized\n2. **`data` sized to `n`** (max length for this host) instead of `len(series[0].Data)` — prevents index-out-of-range panic\n3. **Summation iterates local `series`** instead of `jm.Series` — fixes the logic bug where each node got the sum of ALL hosts' cores\n\n**Tests added** (`schema/metrics_test.go`):\n- `TestAddNodeScope` — two hosts with different data lengths (3 vs 5 points), verifies correct per-host aggregation and no panic\n- `TestAddNodeScopeUnevenCores` — single host with cores of different lengths, verifies NaN padding for shorter series\n\nYou'll need to commit and release this in cc-lib, then bump the dependency in cc-backend's 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+{"parentUuid":"0fb7f73e-1387-43fd-ab26-b4984c90b67f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01W59LgvCnmZQFhfSZHv5NXH","toolUseID":"toolu_01W59LgvCnmZQFhfSZHv5NXH","timestamp":"2026-03-16T07:49:27.783Z","uuid":"1f96e77c-23c8-41e0-87dc-8cc03140cc44","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"0fb7f73e-1387-43fd-ab26-b4984c90b67f","isSidechain":false,"promptId":"807decf9-6fba-46ef-86b3-8a871a0dbbdf","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W59LgvCnmZQFhfSZHv5NXH","type":"tool_result","content":" 1→# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n 2→\n 3→## Context\n 4→\n 5→The archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n 6→\n 7→## Root Cause (in cc-lib)\n 8→\n 9→`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n 10→\n 11→### Bug 1 — The crash (line 327)\n 12→- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n 13→- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n 14→- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n 15→\n 16→### Bug 2 — Logic error (lines 318-323)\n 17→- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n 18→- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n 19→\n 20→## Fix (in cc-lib `schema/metrics.go`)\n 21→\n 22→Replace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n 23→\n 24→```go\n 25→// Before (BUGGY):\n 26→n, m := 0, len(jm.Series[0].Data)\n 27→for _, series := range jm.Series {\n 28→ ...\n 29→}\n 30→i, data := 0, make([]Float, len(series[0].Data))\n 31→for ; i < m; i++ {\n 32→ x := Float(0.0)\n 33→ for _, series := range jm.Series {\n 34→ x += series.Data[i]\n 35→ }\n 36→ data[i] = x\n 37→}\n 38→\n 39→// After (FIXED):\n 40→n, m := 0, len(series[0].Data)\n 41→for _, s := range series {\n 42→ if len(s.Data) > n {\n 43→ n = len(s.Data)\n 44→ }\n 45→ if len(s.Data) < m {\n 46→ m = len(s.Data)\n 47→ }\n 48→}\n 49→i, data := 0, make([]Float, n)\n 50→for ; i < m; i++ {\n 51→ x := Float(0.0)\n 52→ for _, s := range series {\n 53→ x += s.Data[i]\n 54→ }\n 55→ data[i] = x\n 56→}\n 57→```\n 58→\n 59→Key changes:\n 60→1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n 61→2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n 62→3. Summation iterates local `series`, not `jm.Series`\n 63→\n 64→## Where to Apply\n 65→\n 66→The fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n 67→\n 68→1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n 69→2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n 70→\n 71→**Recommended: Option 1** — fix cc-lib.\n 72→\n 73→## Verification\n 74→\n 75→- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n 76→- Integration: archive a job with mixed-length metric data\n 77→"}]},"uuid":"fbb5031b-9cae-4f33-a976-57cb6c6e3f07","timestamp":"2026-03-16T07:49:27.782Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/frolicking-splashing-kay.md","content":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, series := range jm.Series {\n x += series.Data[i]\n }\n data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n if len(s.Data) > n {\n n = len(s.Data)\n }\n if len(s.Data) < m {\n m = len(s.Data)\n }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, s := range series {\n x += s.Data[i]\n }\n data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data\n","numLines":77,"startLine":1,"totalLines":77}},"sourceToolAssistantUUID":"0fb7f73e-1387-43fd-ab26-b4984c90b67f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"fbb5031b-9cae-4f33-a976-57cb6c6e3f07","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01MQm3ERwmnc8HCpRAqUAuBT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LeqFraVSCHSDfCxoQCHora","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1684,"cache_read_input_tokens":27381,"output_tokens":130,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1684,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6Pi5ZN4ezod52KNdwjY","type":"assistant","uuid":"48b771a8-5d70-44dd-8fe1-7b15d8f84512","timestamp":"2026-03-16T07:49:28.160Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"48b771a8-5d70-44dd-8fe1-7b15d8f84512","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01LeqFraVSCHSDfCxoQCHora","toolUseID":"toolu_01LeqFraVSCHSDfCxoQCHora","timestamp":"2026-03-16T07:49:28.166Z","uuid":"0afbe1cb-9a6a-407f-9670-b2e3fad324f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"48b771a8-5d70-44dd-8fe1-7b15d8f84512","isSidechain":false,"promptId":"807decf9-6fba-46ef-86b3-8a871a0dbbdf","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LeqFraVSCHSDfCxoQCHora","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-lib.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package schema\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"io\"\n 11→\t\"math\"\n 12→\t\"sort\"\n 13→\t\"unsafe\"\n 14→\n 15→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 16→)\n 17→\n 18→// JobData maps metric names to their data organized by scope.\n 19→// Structure: map[metricName]map[scope]*JobMetric\n 20→//\n 21→// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n 22→// This structure allows efficient lookup of metrics at different hierarchical levels.\n 23→type JobData map[string]map[MetricScope]*JobMetric\n 24→\n 25→// ScopedJobStats maps metric names to statistical summaries organized by scope.\n 26→// Structure: map[metricName]map[scope][]*ScopedStats\n 27→//\n 28→// Used to store pre-computed statistics without the full time series data,\n 29→// reducing memory footprint when only aggregated values are needed.\n 30→type ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n 31→\n 32→// JobMetric contains time series data and statistics for a single metric.\n 33→//\n 34→// The Series field holds time series data from individual nodes/hardware components,\n 35→// while StatisticsSeries provides aggregated statistics across all series over time.\n 36→type JobMetric struct {\n 37→\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n 38→\tUnit Unit `json:\"unit\"` // Unit of measurement\n 39→\tSeries []Series `json:\"series\"` // Individual time series data\n 40→\tTimestep int `json:\"timestep\"` // Sampling interval in seconds\n 41→}\n 42→\n 43→// Series represents a single time series of metric measurements.\n 44→//\n 45→// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n 46→// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\n 47→type Series struct {\n 48→\tID *string `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n 49→\tHostname string `json:\"hostname\"` // Source hostname\n 50→\tData []Float `json:\"data\"` // Time series measurements\n 51→\tStatistics MetricStatistics `json:\"statistics\"` // Statistical summary (min/avg/max)\n 52→}\n 53→\n 54→// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n 55→// Used when full time series data isn't needed, only the aggregated statistics.\n 56→type ScopedStats struct {\n 57→\tHostname string `json:\"hostname\"` // Source hostname\n 58→\tID *string `json:\"id,omitempty\"` // Optional scope ID\n 59→\tData *MetricStatistics `json:\"data\"` // Statistical summary\n 60→}\n 61→\n 62→// MetricStatistics holds statistical summary values for metric data.\n 63→// Provides the common statistical aggregations used throughout ClusterCockpit.\n 64→type MetricStatistics struct {\n 65→\tAvg float64 `json:\"avg\"` // Average/mean value\n 66→\tMin float64 `json:\"min\"` // Minimum value\n 67→\tMax float64 `json:\"max\"` // Maximum value\n 68→}\n 69→\n 70→// StatsSeries contains aggregated statistics across multiple time series over time.\n 71→//\n 72→// Instead of storing individual series, this provides statistical summaries at each time step.\n 73→// For example, at time t, Mean[t] is the average value across all series at that time.\n 74→// Percentiles provides specified percentile values at each time step.\n 75→type StatsSeries struct {\n 76→\tPercentiles map[int][]Float `json:\"percentiles,omitempty\"` // Percentile values over time (e.g., 10th, 50th, 90th)\n 77→\tMean []Float `json:\"mean\"` // Mean values over time\n 78→\tMedian []Float `json:\"median\"` // Median values over time\n 79→\tMin []Float `json:\"min\"` // Minimum values over time\n 80→\tMax []Float `json:\"max\"` // Maximum values over time\n 81→}\n 82→\n 83→// MetricScope defines the hierarchical level at which a metric is measured.\n 84→//\n 85→// Scopes form a hierarchy from coarse-grained (node) to fine-grained (hwthread/accelerator):\n 86→//\n 87→//\tnode > socket > memoryDomain > core > hwthread\n 88→//\taccelerator is a special scope at the same level as hwthread\n 89→//\n 90→// The scopePrecedence map defines numeric ordering for scope comparisons,\n 91→// which is used when aggregating metrics across different scopes.\n 92→type MetricScope string\n 93→\n 94→const (\n 95→\tMetricScopeInvalid MetricScope = \"invalid_scope\"\n 96→\n 97→\tMetricScopeNode MetricScope = \"node\"\n 98→\tMetricScopeSocket MetricScope = \"socket\"\n 99→\tMetricScopeMemoryDomain MetricScope = \"memoryDomain\"\n 100→\tMetricScopeCore MetricScope = \"core\"\n 101→\tMetricScopeHWThread MetricScope = \"hwthread\"\n 102→\n 103→\t// TODO: Add Job and Application scopes\n 104→\n 105→\tMetricScopeAccelerator MetricScope = \"accelerator\"\n 106→)\n 107→\n 108→var metricScopeGranularity map[MetricScope]int = map[MetricScope]int{\n 109→\tMetricScopeNode: 10,\n 110→\tMetricScopeSocket: 5,\n 111→\tMetricScopeMemoryDomain: 4,\n 112→\tMetricScopeCore: 3,\n 113→\tMetricScopeHWThread: 2,\n 114→\t/* Special-Case Accelerator\n 115→\t * -> No conversion possible if native scope is HWTHREAD\n 116→\t * -> Therefore needs to be less than HWTREAD, else max() would return unhandled case\n 117→\t * -> If nativeScope is accelerator, accelerator metrics return correctly\n 118→\t */\n 119→\tMetricScopeAccelerator: 1,\n 120→\n 121→\tMetricScopeInvalid: -1,\n 122→}\n 123→\n 124→func (e *MetricScope) LT(other MetricScope) bool {\n 125→\ta := metricScopeGranularity[*e]\n 126→\tb := metricScopeGranularity[other]\n 127→\treturn a < b\n 128→}\n 129→\n 130→func (e *MetricScope) LTE(other MetricScope) bool {\n 131→\ta := metricScopeGranularity[*e]\n 132→\tb := metricScopeGranularity[other]\n 133→\treturn a <= b\n 134→}\n 135→\n 136→func (e *MetricScope) Max(other MetricScope) MetricScope {\n 137→\ta := metricScopeGranularity[*e]\n 138→\tb := metricScopeGranularity[other]\n 139→\tif a > b {\n 140→\t\treturn *e\n 141→\t}\n 142→\treturn other\n 143→}\n 144→\n 145→func (e *MetricScope) UnmarshalGQL(v any) error {\n 146→\tstr, ok := v.(string)\n 147→\tif !ok {\n 148→\t\treturn fmt.Errorf(\"SCHEMA/METRICS > enums must be strings\")\n 149→\t}\n 150→\n 151→\t*e = MetricScope(str)\n 152→\tif !e.Valid() {\n 153→\t\treturn fmt.Errorf(\"SCHEMA/METRICS > %s is not a valid MetricScope\", str)\n 154→\t}\n 155→\treturn nil\n 156→}\n 157→\n 158→func (e MetricScope) MarshalGQL(w io.Writer) {\n 159→\tfmt.Fprintf(w, \"\\\"%s\\\"\", e)\n 160→}\n 161→\n 162→func (e MetricScope) Valid() bool {\n 163→\tgran, ok := metricScopeGranularity[e]\n 164→\treturn ok && gran > 0\n 165→}\n 166→\n 167→func (jd *JobData) Size() int {\n 168→\tn := 128\n 169→\tfor _, scopes := range *jd {\n 170→\t\tfor _, metric := range scopes {\n 171→\t\t\tif metric.StatisticsSeries != nil {\n 172→\t\t\t\tn += len(metric.StatisticsSeries.Max)\n 173→\t\t\t\tn += len(metric.StatisticsSeries.Mean)\n 174→\t\t\t\tn += len(metric.StatisticsSeries.Median)\n 175→\t\t\t\tn += len(metric.StatisticsSeries.Min)\n 176→\t\t\t}\n 177→\n 178→\t\t\tfor _, series := range metric.Series {\n 179→\t\t\t\tn += len(series.Data)\n 180→\t\t\t}\n 181→\t\t}\n 182→\t}\n 183→\treturn n * int(unsafe.Sizeof(Float(0)))\n 184→}\n 185→\n 186→const smooth bool = false\n 187→\n 188→func (jm *JobMetric) AddStatisticsSeries() {\n 189→\tif jm.StatisticsSeries != nil || len(jm.Series) < 4 {\n 190→\t\treturn\n 191→\t}\n 192→\n 193→\tn, m := 0, len(jm.Series[0].Data)\n 194→\tfor _, series := range jm.Series {\n 195→\t\tif len(series.Data) > n {\n 196→\t\t\tn = len(series.Data)\n 197→\t\t}\n 198→\t\tif len(series.Data) < m {\n 199→\t\t\tm = len(series.Data)\n 200→\t\t}\n 201→\t}\n 202→\n 203→\t// mean := make([]Float, n)\n 204→\tmin, median, max := make([]Float, n), make([]Float, n), make([]Float, n)\n 205→\ti := 0\n 206→\tfor ; i < m; i++ {\n 207→\t\tseriesCount := len(jm.Series)\n 208→\t\t// ssum := 0.0\n 209→\t\tsmin, smed, smax := math.MaxFloat32, make([]float64, seriesCount), -math.MaxFloat32\n 210→\t\tnotnan := 0\n 211→\t\tfor j := range seriesCount {\n 212→\t\t\tx := float64(jm.Series[j].Data[i])\n 213→\t\t\tif math.IsNaN(x) {\n 214→\t\t\t\tcontinue\n 215→\t\t\t}\n 216→\n 217→\t\t\tnotnan += 1\n 218→\t\t\t// ssum += x\n 219→\t\t\tsmed[j] = x\n 220→\t\t\tsmin = math.Min(smin, x)\n 221→\t\t\tsmax = math.Max(smax, x)\n 222→\t\t}\n 223→\n 224→\t\tif notnan < 3 {\n 225→\t\t\tmin[i] = NaN\n 226→\t\t\t// mean[i] = NaN\n 227→\t\t\tmedian[i] = NaN\n 228→\t\t\tmax[i] = NaN\n 229→\t\t} else {\n 230→\t\t\tmin[i] = Float(smin)\n 231→\t\t\t// mean[i] = Float(ssum / float64(notnan))\n 232→\t\t\tmax[i] = Float(smax)\n 233→\n 234→\t\t\tmedianRaw, err := util.Median(smed)\n 235→\t\t\tif err != nil {\n 236→\t\t\t\tmedian[i] = NaN\n 237→\t\t\t} else {\n 238→\t\t\t\tmedian[i] = Float(medianRaw)\n 239→\t\t\t}\n 240→\t\t}\n 241→\t}\n 242→\n 243→\tfor ; i < n; i++ {\n 244→\t\tmin[i] = NaN\n 245→\t\t// mean[i] = NaN\n 246→\t\tmedian[i] = NaN\n 247→\t\tmax[i] = NaN\n 248→\t}\n 249→\n 250→\tif smooth {\n 251→\t\tfor i := 2; i < len(median)-2; i++ {\n 252→\t\t\tif min[i].IsNaN() {\n 253→\t\t\t\tcontinue\n 254→\t\t\t}\n 255→\n 256→\t\t\tmin[i] = (min[i-2] + min[i-1] + min[i] + min[i+1] + min[i+2]) / 5\n 257→\t\t\tmax[i] = (max[i-2] + max[i-1] + max[i] + max[i+1] + max[i+2]) / 5\n 258→\t\t\t// mean[i] = (mean[i-2] + mean[i-1] + mean[i] + mean[i+1] + mean[i+2]) / 5\n 259→\t\t\t// Reduce Median further\n 260→\t\t\tsmoothRaw := []float64{float64(median[i-2]), float64(median[i-1]), float64(median[i]), float64(median[i+1]), float64(median[i+2])}\n 261→\t\t\tsmoothMedian, err := util.Median(smoothRaw)\n 262→\t\t\tif err != nil {\n 263→\t\t\t\tmedian[i] = NaN\n 264→\t\t\t} else {\n 265→\t\t\t\tmedian[i] = Float(smoothMedian)\n 266→\t\t\t}\n 267→\t\t}\n 268→\t}\n 269→\n 270→\tjm.StatisticsSeries = &StatsSeries{Median: median, Min: min, Max: max} // Mean: mean\n 271→}\n 272→\n 273→func (jd *JobData) AddNodeScope(metric string) bool {\n 274→\tscopes, ok := (*jd)[metric]\n 275→\tif !ok {\n 276→\t\treturn false\n 277→\t}\n 278→\n 279→\tmaxScope := MetricScopeInvalid\n 280→\tfor scope := range scopes {\n 281→\t\tmaxScope = maxScope.Max(scope)\n 282→\t}\n 283→\n 284→\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n 285→\t\treturn false\n 286→\t}\n 287→\n 288→\tjm := scopes[maxScope]\n 289→\thosts := make(map[string][]Series, 32)\n 290→\tfor _, series := range jm.Series {\n 291→\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n 292→\t}\n 293→\n 294→\tnodeJm := &JobMetric{\n 295→\t\tUnit: jm.Unit,\n 296→\t\tTimestep: jm.Timestep,\n 297→\t\tSeries: make([]Series, 0, len(hosts)),\n 298→\t}\n 299→\tfor hostname, series := range hosts {\n 300→\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n 301→\t\tfor _, series := range series {\n 302→\t\t\tsum += series.Statistics.Avg\n 303→\t\t\tmin = math.Min(min, series.Statistics.Min)\n 304→\t\t\tmax = math.Max(max, series.Statistics.Max)\n 305→\t\t}\n 306→\n 307→\t\tn, m := 0, len(series[0].Data)\n 308→\t\tfor _, s := range series {\n 309→\t\t\tif len(s.Data) > n {\n 310→\t\t\t\tn = len(s.Data)\n 311→\t\t\t}\n 312→\t\t\tif len(s.Data) < m {\n 313→\t\t\t\tm = len(s.Data)\n 314→\t\t\t}\n 315→\t\t}\n 316→\n 317→\t\ti, data := 0, make([]Float, n)\n 318→\t\tfor ; i < m; i++ {\n 319→\t\t\tx := Float(0.0)\n 320→\t\t\tfor _, s := range series {\n 321→\t\t\t\tx += s.Data[i]\n 322→\t\t\t}\n 323→\t\t\tdata[i] = x\n 324→\t\t}\n 325→\n 326→\t\tfor ; i < n; i++ {\n 327→\t\t\tdata[i] = NaN\n 328→\t\t}\n 329→\n 330→\t\tnodeJm.Series = append(nodeJm.Series, Series{\n 331→\t\t\tHostname: hostname,\n 332→\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n 333→\t\t\tData: data,\n 334→\t\t})\n 335→\t}\n 336→\n 337→\tscopes[MetricScopeNode] = nodeJm\n 338→\treturn true\n 339→}\n 340→\n 341→func (jd *JobData) RoundMetricStats() {\n 342→\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n 343→\tfor _, scopes := range *jd {\n 344→\t\tfor _, jm := range scopes {\n 345→\t\t\tfor index := range jm.Series {\n 346→\t\t\t\tjm.Series[index].Statistics = MetricStatistics{\n 347→\t\t\t\t\tAvg: (math.Round(jm.Series[index].Statistics.Avg*100) / 100),\n 348→\t\t\t\t\tMin: (math.Round(jm.Series[index].Statistics.Min*100) / 100),\n 349→\t\t\t\t\tMax: (math.Round(jm.Series[index].Statistics.Max*100) / 100),\n 350→\t\t\t\t}\n 351→\t\t\t}\n 352→\t\t}\n 353→\t}\n 354→}\n 355→\n 356→func (sjs *ScopedJobStats) RoundScopedMetricStats() {\n 357→\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n 358→\tfor _, scopes := range *sjs {\n 359→\t\tfor _, stats := range scopes {\n 360→\t\t\tfor index := range stats {\n 361→\t\t\t\troundedStats := MetricStatistics{\n 362→\t\t\t\t\tAvg: (math.Round(stats[index].Data.Avg*100) / 100),\n 363→\t\t\t\t\tMin: (math.Round(stats[index].Data.Min*100) / 100),\n 364→\t\t\t\t\tMax: (math.Round(stats[index].Data.Max*100) / 100),\n 365→\t\t\t\t}\n 366→\t\t\t\tstats[index].Data = &roundedStats\n 367→\t\t\t}\n 368→\t\t}\n 369→\t}\n 370→}\n 371→\n 372→func (jm *JobMetric) AddPercentiles(ps []int) bool {\n 373→\tif jm.StatisticsSeries == nil {\n 374→\t\tjm.AddStatisticsSeries()\n 375→\t}\n 376→\n 377→\tif len(jm.Series) < 3 {\n 378→\t\treturn false\n 379→\t}\n 380→\n 381→\tif jm.StatisticsSeries.Percentiles == nil {\n 382→\t\tjm.StatisticsSeries.Percentiles = make(map[int][]Float, len(ps))\n 383→\t}\n 384→\n 385→\tn := 0\n 386→\tfor _, series := range jm.Series {\n 387→\t\tif len(series.Data) > n {\n 388→\t\t\tn = len(series.Data)\n 389→\t\t}\n 390→\t}\n 391→\n 392→\tdata := make([][]float64, n)\n 393→\tfor i := range n {\n 394→\t\tvals := make([]float64, 0, len(jm.Series))\n 395→\t\tfor _, series := range jm.Series {\n 396→\t\t\tif i < len(series.Data) {\n 397→\t\t\t\tvals = append(vals, float64(series.Data[i]))\n 398→\t\t\t}\n 399→\t\t}\n 400→\n 401→\t\tsort.Float64s(vals)\n 402→\t\tdata[i] = vals\n 403→\t}\n 404→\n 405→\tfor _, p := range ps {\n 406→\t\tif p < 1 || p > 99 {\n 407→\t\t\tpanic(\"SCHEMA/METRICS > invalid percentile\")\n 408→\t\t}\n 409→\n 410→\t\tif _, ok := jm.StatisticsSeries.Percentiles[p]; ok {\n 411→\t\t\tcontinue\n 412→\t\t}\n 413→\n 414→\t\tpercentiles := make([]Float, n)\n 415→\t\tfor i := range n {\n 416→\t\t\tsorted := data[i]\n 417→\t\t\tpercentiles[i] = Float(sorted[(len(sorted)*p)/100])\n 418→\t\t}\n 419→\n 420→\t\tjm.StatisticsSeries.Percentiles[p] = percentiles\n 421→\t}\n 422→\n 423→\treturn true\n 424→}\n 425→"}]},"uuid":"36179299-d2a4-49b1-ac80-e8ca1a8a61c0","timestamp":"2026-03-16T07:49:28.166Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-lib.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage schema\n\nimport (\n\t\"fmt\"\n\t\"io\"\n\t\"math\"\n\t\"sort\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// JobData maps metric names to their data organized by scope.\n// Structure: map[metricName]map[scope]*JobMetric\n//\n// For example: jobData[\"cpu_load\"][MetricScopeNode] contains node-level CPU load data.\n// This structure allows efficient lookup of metrics at different hierarchical levels.\ntype JobData map[string]map[MetricScope]*JobMetric\n\n// ScopedJobStats maps metric names to statistical summaries organized by scope.\n// Structure: map[metricName]map[scope][]*ScopedStats\n//\n// Used to store pre-computed statistics without the full time series data,\n// reducing memory footprint when only aggregated values are needed.\ntype ScopedJobStats map[string]map[MetricScope][]*ScopedStats\n\n// JobMetric contains time series data and statistics for a single metric.\n//\n// The Series field holds time series data from individual nodes/hardware components,\n// while StatisticsSeries provides aggregated statistics across all series over time.\ntype JobMetric struct {\n\tStatisticsSeries *StatsSeries `json:\"statisticsSeries,omitempty\"` // Aggregated statistics over time\n\tUnit Unit `json:\"unit\"` // Unit of measurement\n\tSeries []Series `json:\"series\"` // Individual time series data\n\tTimestep int `json:\"timestep\"` // Sampling interval in seconds\n}\n\n// Series represents a single time series of metric measurements.\n//\n// Each series corresponds to one source (e.g., one node, one core) identified by Hostname and optional ID.\n// The Data field contains the time-ordered measurements, and Statistics provides min/avg/max summaries.\ntype Series struct {\n\tID *string `json:\"id,omitempty\"` // Optional ID (e.g., core ID, GPU ID)\n\tHostname string `json:\"hostname\"` // Source hostname\n\tData []Float `json:\"data\"` // Time series measurements\n\tStatistics MetricStatistics `json:\"statistics\"` // Statistical summary (min/avg/max)\n}\n\n// ScopedStats contains statistical summaries for a specific scope (e.g., one node, one socket).\n// Used when full time series data isn't needed, only the aggregated statistics.\ntype ScopedStats struct {\n\tHostname string `json:\"hostname\"` // Source hostname\n\tID *string `json:\"id,omitempty\"` // Optional scope ID\n\tData *MetricStatistics `json:\"data\"` // Statistical summary\n}\n\n// MetricStatistics holds statistical summary values for metric data.\n// Provides the common statistical aggregations used throughout ClusterCockpit.\ntype MetricStatistics struct {\n\tAvg float64 `json:\"avg\"` // Average/mean value\n\tMin float64 `json:\"min\"` // Minimum value\n\tMax float64 `json:\"max\"` // Maximum value\n}\n\n// StatsSeries contains aggregated statistics across multiple time series over time.\n//\n// Instead of storing individual series, this provides statistical summaries at each time step.\n// For example, at time t, Mean[t] is the average value across all series at that time.\n// Percentiles provides specified percentile values at each time step.\ntype StatsSeries struct {\n\tPercentiles map[int][]Float `json:\"percentiles,omitempty\"` // Percentile values over time (e.g., 10th, 50th, 90th)\n\tMean []Float `json:\"mean\"` // Mean values over time\n\tMedian []Float `json:\"median\"` // Median values over time\n\tMin []Float `json:\"min\"` // Minimum values over time\n\tMax []Float `json:\"max\"` // Maximum values over time\n}\n\n// MetricScope defines the hierarchical level at which a metric is measured.\n//\n// Scopes form a hierarchy from coarse-grained (node) to fine-grained (hwthread/accelerator):\n//\n//\tnode > socket > memoryDomain > core > hwthread\n//\taccelerator is a special scope at the same level as hwthread\n//\n// The scopePrecedence map defines numeric ordering for scope comparisons,\n// which is used when aggregating metrics across different scopes.\ntype MetricScope string\n\nconst (\n\tMetricScopeInvalid MetricScope = \"invalid_scope\"\n\n\tMetricScopeNode MetricScope = \"node\"\n\tMetricScopeSocket MetricScope = \"socket\"\n\tMetricScopeMemoryDomain MetricScope = \"memoryDomain\"\n\tMetricScopeCore MetricScope = \"core\"\n\tMetricScopeHWThread MetricScope = \"hwthread\"\n\n\t// TODO: Add Job and Application scopes\n\n\tMetricScopeAccelerator MetricScope = \"accelerator\"\n)\n\nvar metricScopeGranularity map[MetricScope]int = map[MetricScope]int{\n\tMetricScopeNode: 10,\n\tMetricScopeSocket: 5,\n\tMetricScopeMemoryDomain: 4,\n\tMetricScopeCore: 3,\n\tMetricScopeHWThread: 2,\n\t/* Special-Case Accelerator\n\t * -> No conversion possible if native scope is HWTHREAD\n\t * -> Therefore needs to be less than HWTREAD, else max() would return unhandled case\n\t * -> If nativeScope is accelerator, accelerator metrics return correctly\n\t */\n\tMetricScopeAccelerator: 1,\n\n\tMetricScopeInvalid: -1,\n}\n\nfunc (e *MetricScope) LT(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a < b\n}\n\nfunc (e *MetricScope) LTE(other MetricScope) bool {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\treturn a <= b\n}\n\nfunc (e *MetricScope) Max(other MetricScope) MetricScope {\n\ta := metricScopeGranularity[*e]\n\tb := metricScopeGranularity[other]\n\tif a > b {\n\t\treturn *e\n\t}\n\treturn other\n}\n\nfunc (e *MetricScope) UnmarshalGQL(v any) error {\n\tstr, ok := v.(string)\n\tif !ok {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > enums must be strings\")\n\t}\n\n\t*e = MetricScope(str)\n\tif !e.Valid() {\n\t\treturn fmt.Errorf(\"SCHEMA/METRICS > %s is not a valid MetricScope\", str)\n\t}\n\treturn nil\n}\n\nfunc (e MetricScope) MarshalGQL(w io.Writer) {\n\tfmt.Fprintf(w, \"\\\"%s\\\"\", e)\n}\n\nfunc (e MetricScope) Valid() bool {\n\tgran, ok := metricScopeGranularity[e]\n\treturn ok && gran > 0\n}\n\nfunc (jd *JobData) Size() int {\n\tn := 128\n\tfor _, scopes := range *jd {\n\t\tfor _, metric := range scopes {\n\t\t\tif metric.StatisticsSeries != nil {\n\t\t\t\tn += len(metric.StatisticsSeries.Max)\n\t\t\t\tn += len(metric.StatisticsSeries.Mean)\n\t\t\t\tn += len(metric.StatisticsSeries.Median)\n\t\t\t\tn += len(metric.StatisticsSeries.Min)\n\t\t\t}\n\n\t\t\tfor _, series := range metric.Series {\n\t\t\t\tn += len(series.Data)\n\t\t\t}\n\t\t}\n\t}\n\treturn n * int(unsafe.Sizeof(Float(0)))\n}\n\nconst smooth bool = false\n\nfunc (jm *JobMetric) AddStatisticsSeries() {\n\tif jm.StatisticsSeries != nil || len(jm.Series) < 4 {\n\t\treturn\n\t}\n\n\tn, m := 0, len(jm.Series[0].Data)\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t\tif len(series.Data) < m {\n\t\t\tm = len(series.Data)\n\t\t}\n\t}\n\n\t// mean := make([]Float, n)\n\tmin, median, max := make([]Float, n), make([]Float, n), make([]Float, n)\n\ti := 0\n\tfor ; i < m; i++ {\n\t\tseriesCount := len(jm.Series)\n\t\t// ssum := 0.0\n\t\tsmin, smed, smax := math.MaxFloat32, make([]float64, seriesCount), -math.MaxFloat32\n\t\tnotnan := 0\n\t\tfor j := range seriesCount {\n\t\t\tx := float64(jm.Series[j].Data[i])\n\t\t\tif math.IsNaN(x) {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tnotnan += 1\n\t\t\t// ssum += x\n\t\t\tsmed[j] = x\n\t\t\tsmin = math.Min(smin, x)\n\t\t\tsmax = math.Max(smax, x)\n\t\t}\n\n\t\tif notnan < 3 {\n\t\t\tmin[i] = NaN\n\t\t\t// mean[i] = NaN\n\t\t\tmedian[i] = NaN\n\t\t\tmax[i] = NaN\n\t\t} else {\n\t\t\tmin[i] = Float(smin)\n\t\t\t// mean[i] = Float(ssum / float64(notnan))\n\t\t\tmax[i] = Float(smax)\n\n\t\t\tmedianRaw, err := util.Median(smed)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(medianRaw)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor ; i < n; i++ {\n\t\tmin[i] = NaN\n\t\t// mean[i] = NaN\n\t\tmedian[i] = NaN\n\t\tmax[i] = NaN\n\t}\n\n\tif smooth {\n\t\tfor i := 2; i < len(median)-2; i++ {\n\t\t\tif min[i].IsNaN() {\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tmin[i] = (min[i-2] + min[i-1] + min[i] + min[i+1] + min[i+2]) / 5\n\t\t\tmax[i] = (max[i-2] + max[i-1] + max[i] + max[i+1] + max[i+2]) / 5\n\t\t\t// mean[i] = (mean[i-2] + mean[i-1] + mean[i] + mean[i+1] + mean[i+2]) / 5\n\t\t\t// Reduce Median further\n\t\t\tsmoothRaw := []float64{float64(median[i-2]), float64(median[i-1]), float64(median[i]), float64(median[i+1]), float64(median[i+2])}\n\t\t\tsmoothMedian, err := util.Median(smoothRaw)\n\t\t\tif err != nil {\n\t\t\t\tmedian[i] = NaN\n\t\t\t} else {\n\t\t\t\tmedian[i] = Float(smoothMedian)\n\t\t\t}\n\t\t}\n\t}\n\n\tjm.StatisticsSeries = &StatsSeries{Median: median, Min: min, Max: max} // Mean: mean\n}\n\nfunc (jd *JobData) AddNodeScope(metric string) bool {\n\tscopes, ok := (*jd)[metric]\n\tif !ok {\n\t\treturn false\n\t}\n\n\tmaxScope := MetricScopeInvalid\n\tfor scope := range scopes {\n\t\tmaxScope = maxScope.Max(scope)\n\t}\n\n\tif maxScope == MetricScopeInvalid || maxScope == MetricScopeNode {\n\t\treturn false\n\t}\n\n\tjm := scopes[maxScope]\n\thosts := make(map[string][]Series, 32)\n\tfor _, series := range jm.Series {\n\t\thosts[series.Hostname] = append(hosts[series.Hostname], series)\n\t}\n\n\tnodeJm := &JobMetric{\n\t\tUnit: jm.Unit,\n\t\tTimestep: jm.Timestep,\n\t\tSeries: make([]Series, 0, len(hosts)),\n\t}\n\tfor hostname, series := range hosts {\n\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n\t\tfor _, series := range series {\n\t\t\tsum += series.Statistics.Avg\n\t\t\tmin = math.Min(min, series.Statistics.Min)\n\t\t\tmax = math.Max(max, series.Statistics.Max)\n\t\t}\n\n\t\tn, m := 0, len(series[0].Data)\n\t\tfor _, s := range series {\n\t\t\tif len(s.Data) > n {\n\t\t\t\tn = len(s.Data)\n\t\t\t}\n\t\t\tif len(s.Data) < m {\n\t\t\t\tm = len(s.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, n)\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, s := range series {\n\t\t\t\tx += s.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}\n\n\t\tnodeJm.Series = append(nodeJm.Series, Series{\n\t\t\tHostname: hostname,\n\t\t\tStatistics: MetricStatistics{Min: min, Avg: sum / float64(len(series)), Max: max},\n\t\t\tData: data,\n\t\t})\n\t}\n\n\tscopes[MetricScopeNode] = nodeJm\n\treturn true\n}\n\nfunc (jd *JobData) RoundMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *jd {\n\t\tfor _, jm := range scopes {\n\t\t\tfor index := range jm.Series {\n\t\t\t\tjm.Series[index].Statistics = MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(jm.Series[index].Statistics.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(jm.Series[index].Statistics.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(jm.Series[index].Statistics.Max*100) / 100),\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (sjs *ScopedJobStats) RoundScopedMetricStats() {\n\t// TODO: Make Digit-Precision Configurable? (Currently: Fixed to 2 Digits)\n\tfor _, scopes := range *sjs {\n\t\tfor _, stats := range scopes {\n\t\t\tfor index := range stats {\n\t\t\t\troundedStats := MetricStatistics{\n\t\t\t\t\tAvg: (math.Round(stats[index].Data.Avg*100) / 100),\n\t\t\t\t\tMin: (math.Round(stats[index].Data.Min*100) / 100),\n\t\t\t\t\tMax: (math.Round(stats[index].Data.Max*100) / 100),\n\t\t\t\t}\n\t\t\t\tstats[index].Data = &roundedStats\n\t\t\t}\n\t\t}\n\t}\n}\n\nfunc (jm *JobMetric) AddPercentiles(ps []int) bool {\n\tif jm.StatisticsSeries == nil {\n\t\tjm.AddStatisticsSeries()\n\t}\n\n\tif len(jm.Series) < 3 {\n\t\treturn false\n\t}\n\n\tif jm.StatisticsSeries.Percentiles == nil {\n\t\tjm.StatisticsSeries.Percentiles = make(map[int][]Float, len(ps))\n\t}\n\n\tn := 0\n\tfor _, series := range jm.Series {\n\t\tif len(series.Data) > n {\n\t\t\tn = len(series.Data)\n\t\t}\n\t}\n\n\tdata := make([][]float64, n)\n\tfor i := range n {\n\t\tvals := make([]float64, 0, len(jm.Series))\n\t\tfor _, series := range jm.Series {\n\t\t\tif i < len(series.Data) {\n\t\t\t\tvals = append(vals, float64(series.Data[i]))\n\t\t\t}\n\t\t}\n\n\t\tsort.Float64s(vals)\n\t\tdata[i] = vals\n\t}\n\n\tfor _, p := range ps {\n\t\tif p < 1 || p > 99 {\n\t\t\tpanic(\"SCHEMA/METRICS > invalid percentile\")\n\t\t}\n\n\t\tif _, ok := jm.StatisticsSeries.Percentiles[p]; ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tpercentiles := make([]Float, n)\n\t\tfor i := range n {\n\t\t\tsorted := data[i]\n\t\t\tpercentiles[i] = Float(sorted[(len(sorted)*p)/100])\n\t\t}\n\n\t\tjm.StatisticsSeries.Percentiles[p] = percentiles\n\t}\n\n\treturn true\n}\n","numLines":425,"startLine":1,"totalLines":425}},"sourceToolAssistantUUID":"48b771a8-5d70-44dd-8fe1-7b15d8f84512","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} 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+{"parentUuid":"ac9c042a-a52a-4774-b073-2212448fc8a6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019uBcgDXqr5449cicsbYMoS","type":"message","role":"assistant","content":[{"type":"text","text":"I've read the full file. Let me analyze each function for similar bugs and update the plan.\n\nThe file has 5 functions that operate on series data. Let me check them systematically:\n\n**1. `AddStatisticsSeries()` (lines 188-271)** — Computes min/median/max across ALL series at each timestep. Uses `jm.Series` throughout, which is **correct** here because it intentionally aggregates across all series (not per-host). It properly computes `n` (max) and `m` (min) from `jm.Series`, sizes arrays to `n`, and only accesses `Data[i]` when `i < m`. Safe.\n\n**2. `AddNodeScope()` (lines 273-339)** — Already fixed.\n\n**3. `RoundMetricStats()` (lines 341-354)** — Only touches `Statistics` structs, no data array indexing. Safe.\n\n**4. `RoundScopedMetricStats()` (lines 356-370)** — Same, only statistics. Safe.\n\n**5. `AddPercentiles()` (lines 372-424)** — Computes percentiles across ALL series. Uses `jm.Series` which is correct (not per-host). Has explicit bounds check at line 396: `if i < len(series.Data)`. Safe.\n\nLet me update the plan with these findings."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7046,"cache_read_input_tokens":29065,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":7046},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PiJxWpQ4pof75DbX3p","type":"assistant","uuid":"b6f1afc2-2d05-403f-87b8-a7991688747a","timestamp":"2026-03-16T07:50:01.518Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"type":"file-history-snapshot","messageId":"16b0a9ea-b80c-4434-9e1b-56d28663a39a","snapshot":{"messageId":"d1037be4-80a8-478c-9f3d-2842d151775e","trackedFileBackups":{"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics.go":{"backupFileName":"c727158a22a91f47@v2","version":2,"backupTime":"2026-03-16T07:49:25.037Z"},"/Users/jan/prg/ClusterCockpit/cc-lib/schema/metrics_test.go":{"backupFileName":"21a440652376e992@v2","version":2,"backupTime":"2026-03-16T07:49:25.038Z"},"/Users/jan/.claude/plans/frolicking-splashing-kay.md":{"backupFileName":"afcfd36c1fe573d7@v1","version":1,"backupTime":"2026-03-16T07:50:32.363Z"}},"timestamp":"2026-03-16T07:49:25.037Z"},"isSnapshotUpdate":true} +{"parentUuid":"b6f1afc2-2d05-403f-87b8-a7991688747a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019uBcgDXqr5449cicsbYMoS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018d9zfSiTDZFa2vXWP5jb7P","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/frolicking-splashing-kay.md","old_string":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, series := range jm.Series {\n x += series.Data[i]\n }\n data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n if len(s.Data) > n {\n n = len(s.Data)\n }\n if len(s.Data) < m {\n m = len(s.Data)\n }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, s := range series {\n x += s.Data[i]\n }\n data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data","new_string":"# Analysis: Similar Bugs in cc-lib `schema/metrics.go`\n\n## Context\n\nAfter fixing the `AddNodeScope` panic (index out of range due to using `jm.Series` instead of local `series`), we're checking if the same class of bug exists elsewhere in the file.\n\n## Already Fixed: `AddNodeScope` (lines 273-339)\n\nThe fix is already applied — `n`/`m` and summation now use local `series` (per-host) instead of `jm.Series` (all hosts). Tests pass.\n\n## Audit of All Functions in `metrics.go`\n\n### `AddStatisticsSeries()` (lines 188-271) — **NO BUG**\n- Computes min/median/max **across ALL series** at each timestep — using `jm.Series` is **intentionally correct**\n- `n`/`m` computed from `jm.Series` (line 193-201): correct, since stats span all series\n- Data access `jm.Series[j].Data[i]` (line 212): guarded by `i < m` where `m` is the minimum series length — safe\n- NaN padding loop (line 243): `i` goes from `m` to `n`, arrays sized to `n` — safe\n- Entry guard (line 189): `len(jm.Series) < 4` prevents `Series[0]` panic\n\n### `AddPercentiles()` (lines 372-424) — **NO BUG**\n- Also operates on ALL series (percentiles across the full set) — `jm.Series` correct\n- Explicit bounds check at line 396: `if i < len(series.Data)` — safe\n- `sorted` at line 417 is never empty because `n` = max series length, so at least one series contributes data at every index\n\n### `RoundMetricStats()` (lines 341-354) — **NO BUG**\n- Only modifies `Statistics` structs (Min/Avg/Max), no data array indexing\n\n### `RoundScopedMetricStats()` (lines 356-370) — **NO BUG**\n- Same pattern, only touches `Data` field which is a `*MetricStatistics`, not a slice\n\n## Conclusion\n\n**`AddNodeScope` was the only function with this bug class.** The other functions either:\n1. Intentionally operate on ALL series (not per-host), so `jm.Series` is correct\n2. Have proper bounds checks before data access\n3. Don't index into data arrays at all\n\nNo further changes needed in this file."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":7046,"cache_read_input_tokens":29065,"output_tokens":3342,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":7046,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6PiJxWpQ4pof75DbX3p","type":"assistant","uuid":"16b0a9ea-b80c-4434-9e1b-56d28663a39a","timestamp":"2026-03-16T07:50:32.343Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"16b0a9ea-b80c-4434-9e1b-56d28663a39a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018d9zfSiTDZFa2vXWP5jb7P","toolUseID":"toolu_018d9zfSiTDZFa2vXWP5jb7P","timestamp":"2026-03-16T07:50:32.366Z","uuid":"09c57dc9-e279-49e0-85c7-1dc0388108c0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"16b0a9ea-b80c-4434-9e1b-56d28663a39a","isSidechain":false,"promptId":"807decf9-6fba-46ef-86b3-8a871a0dbbdf","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018d9zfSiTDZFa2vXWP5jb7P","type":"tool_result","content":"The file /Users/jan/.claude/plans/frolicking-splashing-kay.md has been updated successfully."}]},"uuid":"fa4ce5d6-b36e-4838-b659-a8e300c34dbc","timestamp":"2026-03-16T07:50:32.366Z","toolUseResult":{"filePath":"/Users/jan/.claude/plans/frolicking-splashing-kay.md","oldString":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, series := range jm.Series {\n x += series.Data[i]\n }\n data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n if len(s.Data) > n {\n n = len(s.Data)\n }\n if len(s.Data) < m {\n m = len(s.Data)\n }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, s := range series {\n x += s.Data[i]\n }\n data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data","newString":"# Analysis: Similar Bugs in cc-lib `schema/metrics.go`\n\n## Context\n\nAfter fixing the `AddNodeScope` panic (index out of range due to using `jm.Series` instead of local `series`), we're checking if the same class of bug exists elsewhere in the file.\n\n## Already Fixed: `AddNodeScope` (lines 273-339)\n\nThe fix is already applied — `n`/`m` and summation now use local `series` (per-host) instead of `jm.Series` (all hosts). Tests pass.\n\n## Audit of All Functions in `metrics.go`\n\n### `AddStatisticsSeries()` (lines 188-271) — **NO BUG**\n- Computes min/median/max **across ALL series** at each timestep — using `jm.Series` is **intentionally correct**\n- `n`/`m` computed from `jm.Series` (line 193-201): correct, since stats span all series\n- Data access `jm.Series[j].Data[i]` (line 212): guarded by `i < m` where `m` is the minimum series length — safe\n- NaN padding loop (line 243): `i` goes from `m` to `n`, arrays sized to `n` — safe\n- Entry guard (line 189): `len(jm.Series) < 4` prevents `Series[0]` panic\n\n### `AddPercentiles()` (lines 372-424) — **NO BUG**\n- Also operates on ALL series (percentiles across the full set) — `jm.Series` correct\n- Explicit bounds check at line 396: `if i < len(series.Data)` — safe\n- `sorted` at line 417 is never empty because `n` = max series length, so at least one series contributes data at every index\n\n### `RoundMetricStats()` (lines 341-354) — **NO BUG**\n- Only modifies `Statistics` structs (Min/Avg/Max), no data array indexing\n\n### `RoundScopedMetricStats()` (lines 356-370) — **NO BUG**\n- Same pattern, only touches `Data` field which is a `*MetricStatistics`, not a slice\n\n## Conclusion\n\n**`AddNodeScope` was the only function with this bug class.** The other functions either:\n1. Intentionally operate on ALL series (not per-host), so `jm.Series` is correct\n2. Have proper bounds checks before data access\n3. Don't index into data arrays at all\n\nNo further changes needed in this file.","originalFile":"# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)\n\n## Context\n\nThe archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).\n\n## Root Cause (in cc-lib)\n\n`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:\n\n### Bug 1 — The crash (line 327)\n- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)\n- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname\n- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data\n\n### Bug 2 — Logic error (lines 318-323)\n- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)\n- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics\n\n## Fix (in cc-lib `schema/metrics.go`)\n\nReplace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):\n\n```go\n// Before (BUGGY):\nn, m := 0, len(jm.Series[0].Data)\nfor _, series := range jm.Series {\n ...\n}\ni, data := 0, make([]Float, len(series[0].Data))\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, series := range jm.Series {\n x += series.Data[i]\n }\n data[i] = x\n}\n\n// After (FIXED):\nn, m := 0, len(series[0].Data)\nfor _, s := range series {\n if len(s.Data) > n {\n n = len(s.Data)\n }\n if len(s.Data) < m {\n m = len(s.Data)\n }\n}\ni, data := 0, make([]Float, n)\nfor ; i < m; i++ {\n x := Float(0.0)\n for _, s := range series {\n x += s.Data[i]\n }\n data[i] = x\n}\n```\n\nKey changes:\n1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`\n2. `data` sized to `n` (max length for this host), not `series[0].Data` length\n3. Summation iterates local `series`, not `jm.Series`\n\n## Where to Apply\n\nThe fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:\n\n1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend\n2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug\n\n**Recommended: Option 1** — fix cc-lib.\n\n## Verification\n\n- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation\n- Integration: archive a job with mixed-length metric data\n","structuredPatch":[{"oldStart":1,"oldLines":76,"newStart":1,"newLines":38,"lines":["-# Fix: Panic in `AddNodeScope` (cc-lib v2.8.2)","+# Analysis: Similar Bugs in cc-lib `schema/metrics.go`"," "," ## Context"," ","-The archiver crashes with `panic: runtime error: index out of range [4] with length 4` at `schema/metrics.go:327` in `AddNodeScope`. This happens during job archiving when `LoadData` calls `jd.AddNodeScope(\"flops_any\")` or `jd.AddNodeScope(\"mem_bw\")` (dataLoader.go:214-215).","+After fixing the `AddNodeScope` panic (index out of range due to using `jm.Series` instead of local `series`), we're checking if the same class of bug exists elsewhere in the file."," ","-## Root Cause (in cc-lib)","+## Already Fixed: `AddNodeScope` (lines 273-339)"," ","-`AddNodeScope` aggregates sub-node metrics (e.g., per-core) into node-level values. It has **two bugs**, both in `schema/metrics.go:299-328`:","+The fix is already applied — `n`/`m` and summation now use local `series` (per-host) instead of `jm.Series` (all hosts). Tests pass."," ","-### Bug 1 — The crash (line 327)","-- Line 317: `data` is allocated with `len(series[0].Data)` — the current hostname's first sub-series length (e.g., 4)","-- Lines 307-315: `n` (max data length) is computed across **ALL** `jm.Series` (all hostnames), not just the current hostname","-- Lines 326-328: The loop `for ; i < n; i++ { data[i] = NaN }` writes past `data`'s bounds when another hostname has longer data","+## Audit of All Functions in `metrics.go`"," ","-### Bug 2 — Logic error (lines 318-323)","-- The summation loop iterates `jm.Series` (ALL hostnames' sub-node series) instead of the local `series` (current hostname only)","-- This means each node-level value is the sum across ALL hosts, not just that host's sub-node metrics","+### `AddStatisticsSeries()` (lines 188-271) — **NO BUG**","+- Computes min/median/max **across ALL series** at each timestep — using `jm.Series` is **intentionally correct**","+- `n`/`m` computed from `jm.Series` (line 193-201): correct, since stats span all series","+- Data access `jm.Series[j].Data[i]` (line 212): guarded by `i < m` where `m` is the minimum series length — safe","+- NaN padding loop (line 243): `i` goes from `m` to `n`, arrays sized to `n` — safe","+- Entry guard (line 189): `len(jm.Series) < 4` prevents `Series[0]` panic"," ","-## Fix (in cc-lib `schema/metrics.go`)","+### `AddPercentiles()` (lines 372-424) — **NO BUG**","+- Also operates on ALL series (percentiles across the full set) — `jm.Series` correct","+- Explicit bounds check at line 396: `if i < len(series.Data)` — safe","+- `sorted` at line 417 is never empty because `n` = max series length, so at least one series contributes data at every index"," ","-Replace lines 307-324 to use the local `series` variable (current hostname) instead of `jm.Series` (all hostnames):","+### `RoundMetricStats()` (lines 341-354) — **NO BUG**","+- Only modifies `Statistics` structs (Min/Avg/Max), no data array indexing"," ","-```go","-// Before (BUGGY):","-n, m := 0, len(jm.Series[0].Data)","-for _, series := range jm.Series {","- ...","-}","-i, data := 0, make([]Float, len(series[0].Data))","-for ; i < m; i++ {","- x := Float(0.0)","- for _, series := range jm.Series {","- x += series.Data[i]","- }","- data[i] = x","-}","+### `RoundScopedMetricStats()` (lines 356-370) — **NO BUG**","+- Same pattern, only touches `Data` field which is a `*MetricStatistics`, not a slice"," ","-// After (FIXED):","-n, m := 0, len(series[0].Data)","-for _, s := range series {","- if len(s.Data) > n {","- n = len(s.Data)","- }","- if len(s.Data) < m {","- m = len(s.Data)","- }","-}","-i, data := 0, make([]Float, n)","-for ; i < m; i++ {","- x := Float(0.0)","- for _, s := range series {","- x += s.Data[i]","- }","- data[i] = x","-}","-```","+## Conclusion"," ","-Key changes:","-1. `n`/`m` computed from local `series` (current hostname), not `jm.Series`","-2. `data` sized to `n` (max length for this host), not `series[0].Data` length","-3. Summation iterates local `series`, not `jm.Series`","+**`AddNodeScope` was the only function with this bug class.** The other functions either:","+1. Intentionally operate on ALL series (not per-host), so `jm.Series` is correct","+2. Have proper bounds checks before data access","+3. Don't index into data arrays at all"," ","-## Where to Apply","-","-The fix is in **cc-lib** (`schema/metrics.go:307-324`), not cc-backend. Options:","-","-1. **Fix in cc-lib** — update `AddNodeScope` and release a new version, then bump the dependency in cc-backend","-2. **Workaround in cc-backend** — add a defensive wrapper in `dataLoader.go` before calling `AddNodeScope` (e.g., check series lengths), but this only masks the logic bug","-","-**Recommended: Option 1** — fix cc-lib.","-","-## Verification","-","-- Unit test: create a `JobData` with sub-node metrics where different hosts have different data lengths, call `AddNodeScope`, verify no panic and correct aggregation","-- Integration: archive a job with mixed-length metric data","+No further changes needed in this file."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"16b0a9ea-b80c-4434-9e1b-56d28663a39a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"fa4ce5d6-b36e-4838-b659-a8e300c34dbc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Hrf3vt2Jaz5LfBDagohYd6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01C5ZEJwPkoGYJ4d9R537T2n","name":"ToolSearch","input":{"query":"select:ExitPlanMode","max_results":1},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3380,"cache_read_input_tokens":36111,"output_tokens":78,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3380,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6Po3VjDRk2XqLbDaFFm","type":"assistant","uuid":"a2fde27e-7029-4a0c-80c3-8e4eb0aeb559","timestamp":"2026-03-16T07:50:37.504Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"a2fde27e-7029-4a0c-80c3-8e4eb0aeb559","isSidechain":false,"promptId":"807decf9-6fba-46ef-86b3-8a871a0dbbdf","type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01C5ZEJwPkoGYJ4d9R537T2n","content":[{"type":"tool_reference","tool_name":"ExitPlanMode"}]}]},"uuid":"88579f1e-a956-4171-aaf0-9932bdc28032","timestamp":"2026-03-16T07:50:37.505Z","toolUseResult":{"matches":["ExitPlanMode"],"query":"select:ExitPlanMode","total_deferred_tools":21},"sourceToolAssistantUUID":"a2fde27e-7029-4a0c-80c3-8e4eb0aeb559","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"88579f1e-a956-4171-aaf0-9932bdc28032","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Xh72nGaD3rZBc8pRV3i6s9","type":"message","role":"assistant","content":[{"type":"text","text":"\n\n**`AddNodeScope` was the only function with this bug class.** The other 4 functions in the file are clean:\n\n- **`AddStatisticsSeries`** and **`AddPercentiles`** — intentionally operate on ALL series (not per-host), so using `jm.Series` is correct. Both have proper bounds checks.\n- **`RoundMetricStats`** and **`RoundScopedMetricStats`** — only touch `Statistics` structs, no data array indexing at all.\n\nNo further code changes needed. The fix we already applied is the only instance."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":831,"cache_read_input_tokens":39491,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":831},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6PoRre1vnFctaMrLNHE","type":"assistant","uuid":"98cbf045-32c9-41fb-be29-d589221bc98b","timestamp":"2026-03-16T07:50:42.551Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"98cbf045-32c9-41fb-be29-d589221bc98b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Xh72nGaD3rZBc8pRV3i6s9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UTNnfL7UyL3WT49aEaV1nm","name":"ExitPlanMode","input":{"plan":"# Analysis: Similar Bugs in cc-lib `schema/metrics.go`\n\n## Context\n\nAfter fixing the `AddNodeScope` panic (index out of range due to using `jm.Series` instead of local `series`), we're checking if the same class of bug exists elsewhere in the file.\n\n## Already Fixed: `AddNodeScope` (lines 273-339)\n\nThe fix is already applied — `n`/`m` and summation now use local `series` (per-host) instead of `jm.Series` (all hosts). Tests pass.\n\n## Audit of All Functions in `metrics.go`\n\n### `AddStatisticsSeries()` (lines 188-271) — **NO BUG**\n- Computes min/median/max **across ALL series** at each timestep — using `jm.Series` is **intentionally correct**\n- `n`/`m` computed from `jm.Series` (line 193-201): correct, since stats span all series\n- Data access `jm.Series[j].Data[i]` (line 212): guarded by `i < m` where `m` is the minimum series length — safe\n- NaN padding loop (line 243): `i` goes from `m` to `n`, arrays sized to `n` — safe\n- Entry guard (line 189): `len(jm.Series) < 4` prevents `Series[0]` panic\n\n### `AddPercentiles()` (lines 372-424) — **NO BUG**\n- Also operates on ALL series (percentiles across the full set) — `jm.Series` correct\n- Explicit bounds check at line 396: `if i < len(series.Data)` — safe\n- `sorted` at line 417 is never empty because `n` = max series length, so at least one series contributes data at every index\n\n### `RoundMetricStats()` (lines 341-354) — **NO BUG**\n- Only modifies `Statistics` structs (Min/Avg/Max), no data array indexing\n\n### `RoundScopedMetricStats()` (lines 356-370) — **NO BUG**\n- Same pattern, only touches `Data` field which is a `*MetricStatistics`, not a slice\n\n## Conclusion\n\n**`AddNodeScope` was the only function with this bug class.** The other functions either:\n1. Intentionally operate on ALL series (not per-host), so `jm.Series` is correct\n2. Have proper bounds checks before data access\n3. Don't index into data arrays at all\n\nNo further changes needed in this file.\n","planFilePath":"/Users/jan/.claude/plans/frolicking-splashing-kay.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":831,"cache_read_input_tokens":39491,"output_tokens":177,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":831,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6PoRre1vnFctaMrLNHE","type":"assistant","uuid":"5b1b7dff-ba3c-4e86-b5d8-6bf88d8b5753","timestamp":"2026-03-16T07:50:42.552Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"5b1b7dff-ba3c-4e86-b5d8-6bf88d8b5753","isSidechain":false,"promptId":"807decf9-6fba-46ef-86b3-8a871a0dbbdf","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. 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Let me check if that version has the fix."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":410,"cache_read_input_tokens":40604,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":410},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ6Q7hZxBC768dcLtXxM8","type":"assistant","uuid":"c392c961-3096-4476-a530-99a478dcdae9","timestamp":"2026-03-16T07:54:48.944Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"c392c961-3096-4476-a530-99a478dcdae9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CRWp5gv2ap6264Jwv4PZiU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011Ru8vEjurh3zj2Vekx2Ywg","name":"Read","input":{"file_path":"/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.9.0/schema/metrics.go","offset":299,"limit":30},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":410,"cache_read_input_tokens":40604,"output_tokens":166,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":410,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ6Q7hZxBC768dcLtXxM8","type":"assistant","uuid":"5437916f-a676-4980-a747-1d775bb741c5","timestamp":"2026-03-16T07:54:50.092Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"5437916f-a676-4980-a747-1d775bb741c5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_011Ru8vEjurh3zj2Vekx2Ywg","toolUseID":"toolu_011Ru8vEjurh3zj2Vekx2Ywg","timestamp":"2026-03-16T07:54:50.115Z","uuid":"6733c3e5-b4fb-44f5-9478-f475ede597d6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"5437916f-a676-4980-a747-1d775bb741c5","isSidechain":false,"promptId":"5694affd-e4e4-4aa8-9aaf-626d500c32ce","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011Ru8vEjurh3zj2Vekx2Ywg","type":"tool_result","content":" 299→\tfor hostname, series := range hosts {\n 300→\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n 301→\t\tfor _, series := range series {\n 302→\t\t\tsum += series.Statistics.Avg\n 303→\t\t\tmin = math.Min(min, series.Statistics.Min)\n 304→\t\t\tmax = math.Max(max, series.Statistics.Max)\n 305→\t\t}\n 306→\n 307→\t\tn, m := 0, len(series[0].Data)\n 308→\t\tfor _, s := range series {\n 309→\t\t\tif len(s.Data) > n {\n 310→\t\t\t\tn = len(s.Data)\n 311→\t\t\t}\n 312→\t\t\tif len(s.Data) < m {\n 313→\t\t\t\tm = len(s.Data)\n 314→\t\t\t}\n 315→\t\t}\n 316→\n 317→\t\ti, data := 0, make([]Float, n)\n 318→\t\tfor ; i < m; i++ {\n 319→\t\t\tx := Float(0.0)\n 320→\t\t\tfor _, s := range series {\n 321→\t\t\t\tx += s.Data[i]\n 322→\t\t\t}\n 323→\t\t\tdata[i] = x\n 324→\t\t}\n 325→\n 326→\t\tfor ; i < n; i++ {\n 327→\t\t\tdata[i] = NaN\n 328→\t\t}"}]},"uuid":"6b407c89-0728-42c0-b831-d180049087d6","timestamp":"2026-03-16T07:54:50.115Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/go/pkg/mod/github.com/!cluster!cockpit/cc-lib/v2@v2.9.0/schema/metrics.go","content":"\tfor hostname, series := range hosts {\n\t\tmin, sum, max := math.MaxFloat32, 0.0, -math.MaxFloat32\n\t\tfor _, series := range series {\n\t\t\tsum += series.Statistics.Avg\n\t\t\tmin = math.Min(min, series.Statistics.Min)\n\t\t\tmax = math.Max(max, series.Statistics.Max)\n\t\t}\n\n\t\tn, m := 0, len(series[0].Data)\n\t\tfor _, s := range series {\n\t\t\tif len(s.Data) > n {\n\t\t\t\tn = len(s.Data)\n\t\t\t}\n\t\t\tif len(s.Data) < m {\n\t\t\t\tm = len(s.Data)\n\t\t\t}\n\t\t}\n\n\t\ti, data := 0, make([]Float, n)\n\t\tfor ; i < m; i++ {\n\t\t\tx := Float(0.0)\n\t\t\tfor _, s := range series {\n\t\t\t\tx += s.Data[i]\n\t\t\t}\n\t\t\tdata[i] = x\n\t\t}\n\n\t\tfor ; i < n; i++ {\n\t\t\tdata[i] = NaN\n\t\t}","numLines":30,"startLine":299,"totalLines":425}},"sourceToolAssistantUUID":"5437916f-a676-4980-a747-1d775bb741c5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"7e6b850e-d9e5-48ec-8e24-07c1b3960faa","version":"2.1.76","gitBranch":"hotfix","slug":"frolicking-splashing-kay"} +{"parentUuid":"6b407c89-0728-42c0-b831-d180049087d6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01G9C7F5rXuv1KvefaWraN1i","type":"message","role":"assistant","content":[{"type":"text","text":"**Yes, the fix is already included in cc-lib v2.9.0** which cc-backend currently uses. The code at lines 307-324 matches the fixed version:\n\n- Line 307: `n, m := 0, len(series[0].Data)` — uses local `series` (not `jm.Series`)\n- Line 308: `for _, s := range series` — iterates local `series`\n- Line 317: `make([]Float, n)` — sized to `n` (max length)\n- Line 320: `for _, s := range series` — sums local `series`\n\nNo action needed — cc-backend's dependency is already on the fixed 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"token_usage": { + "input_tokens": 25, + "cache_creation_tokens": 27775, + "cache_read_tokens": 470840, + "output_tokens": 7980, + "api_call_count": 17 + }, + "session_metrics": { + "turn_count": 2 + }, + "initial_attribution": { + "calculated_at": "2026-03-16T07:55:57.14185Z", + "agent_lines": 0, + "human_added": 2, + "human_modified": 1, + "human_removed": 0, + "total_committed": 2, + "agent_percentage": 0 + } +} diff --git a/af/ef27e07ec9/0/prompt.txt b/af/ef27e07ec9/0/prompt.txt new file mode 100644 index 00000000..f3b17d8b --- /dev/null +++ b/af/ef27e07ec9/0/prompt.txt @@ -0,0 +1,5 @@ +Analyse if similar errors exist in cc-lib metrics.go + +--- + +Check if the previous bug is fixed no in the current cc-lib used \ No newline at end of file diff --git a/af/ef27e07ec9/metadata.json b/af/ef27e07ec9/metadata.json new file mode 100644 index 00000000..9a704126 --- /dev/null +++ b/af/ef27e07ec9/metadata.json @@ -0,0 +1,26 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "afef27e07ec9", + "strategy": "manual-commit", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "go.mod", + "go.sum" + ], + "sessions": [ + { + "metadata": "/af/ef27e07ec9/0/metadata.json", + "transcript": "/af/ef27e07ec9/0/full.jsonl", + "content_hash": "/af/ef27e07ec9/0/content_hash.txt", + "prompt": "/af/ef27e07ec9/0/prompt.txt" + } + ], + "token_usage": { + "input_tokens": 25, + "cache_creation_tokens": 27775, + "cache_read_tokens": 470840, + "output_tokens": 7980, + "api_call_count": 17 + } +} diff --git a/b3/8dc35e5334/0/content_hash.txt b/b3/8dc35e5334/0/content_hash.txt new file mode 100644 index 00000000..1f05a77b --- /dev/null +++ b/b3/8dc35e5334/0/content_hash.txt @@ -0,0 +1 @@ +sha256:39fff4cd6ea3062d942781bf0d55d729391bad56b811b5d6ea3676f63067a07c \ No newline at end of file diff --git a/b3/8dc35e5334/0/full.jsonl b/b3/8dc35e5334/0/full.jsonl new file mode 100644 index 00000000..36be106e --- /dev/null +++ b/b3/8dc35e5334/0/full.jsonl @@ -0,0 +1,66 @@ +{"type":"file-history-snapshot","messageId":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","snapshot":{"messageId":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","trackedFileBackups":{},"timestamp":"2026-03-13T08:03:12.124Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"adca80d8-9f49-4f9d-a304-eed5c94cb698","toolUseID":"adca80d8-9f49-4f9d-a304-eed5c94cb698","timestamp":"2026-03-13T08:03:12.083Z","uuid":"cafe66fe-66e0-4f5d-be56-934a78d9ffdb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"cafe66fe-66e0-4f5d-be56-934a78d9ffdb","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/f12048ec-dcf9-4d07-a9c1-0916c9882538.jsonl"},"uuid":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","timestamp":"2026-03-13T08:03:08.332Z","planContent":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018FwVAF94DAfeRuYNMqFYwV","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the files I need to 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+{"parentUuid":"6a69f88b-47f1-4485-97b5-c8b605e95d73","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018FwVAF94DAfeRuYNMqFYwV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012N5EPRZueRCJian6TZ74W4","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9929,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9929},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjLJQif5aqRtUhD5PCh","type":"assistant","uuid":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","timestamp":"2026-03-13T08:03:16.018Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012N5EPRZueRCJian6TZ74W4","toolUseID":"toolu_012N5EPRZueRCJian6TZ74W4","timestamp":"2026-03-13T08:03:16.027Z","uuid":"580b094f-88c2-4145-8165-409bbbf4bede","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012N5EPRZueRCJian6TZ74W4","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n 7→//\n 8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n 9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n 10→// truly continuous (per-write) crash safety.\n 11→//\n 12→// # Architecture\n 13→//\n 14→//\tMetric write (DecodeLine)\n 15→//\t │\n 16→//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n 17→//\t │\n 18→//\t └─► WALMessages channel\n 19→//\t │\n 20→//\t ▼\n 21→//\t WALStaging goroutine\n 22→//\t │\n 23→//\t ▼\n 24→//\t checkpoints/cluster/host/current.wal (append-only, binary)\n 25→//\n 26→//\tPeriodic checkpoint (Checkpointing goroutine):\n 27→//\t 1. Write .bin snapshot (column-oriented, from main tree)\n 28→//\t 2. Signal WALStaging to truncate current.wal per host\n 29→//\n 30→//\tOn restart (FromCheckpoint):\n 31→//\t 1. Load most recent .bin snapshot\n 32→//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n 33→//\n 34→// # WAL Record Format\n 35→//\n 36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n 37→//\n 38→//\tpayload:\n 39→//\t [8B timestamp int64]\n 40→//\t [2B metric_name_len uint16][N metric name bytes]\n 41→//\t [1B selector_count uint8]\n 42→//\t per selector: [1B selector_len uint8][M selector bytes]\n 43→//\t [4B value float32 bits]\n 44→//\n 45→// # Binary Snapshot Format\n 46→//\n 47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n 48→//\tLevel tree (recursive):\n 49→//\t [4B num_metrics uint32]\n 50→//\t per metric:\n 51→//\t [2B name_len uint16][N name bytes]\n 52→//\t [8B frequency int64][8B start int64]\n 53→//\t [4B num_values uint32][num_values × 4B float32]\n 54→//\t [4B num_children uint32]\n 55→//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\n 56→package metricstore\n 57→\n 58→import (\n 59→\t\"bufio\"\n 60→\t\"context\"\n 61→\t\"encoding/binary\"\n 62→\t\"fmt\"\n 63→\t\"hash/crc32\"\n 64→\t\"io\"\n 65→\t\"math\"\n 66→\t\"os\"\n 67→\t\"path\"\n 68→\t\"strings\"\n 69→\t\"sync\"\n 70→\t\"sync/atomic\"\n 71→\n 72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 74→)\n 75→\n 76→// Magic numbers for binary formats.\n 77→const (\n 78→\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n 79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n 80→\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n 81→)\n 82→\n 83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n 84→// Buffered to allow burst writes without blocking the metric ingestion path.\n 85→var WALMessages = make(chan *WALMessage, 4096)\n 86→\n 87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n 88→// (close, delete, reopen) after a binary snapshot has been written.\n 89→var walRotateCh = make(chan walRotateReq, 256)\n 90→\n 91→// WALMessage represents a single metric write to be appended to the WAL.\n 92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n 93→type WALMessage struct {\n 94→\tMetricName string\n 95→\tCluster string\n 96→\tNode string\n 97→\tSelector []string\n 98→\tValue schema.Float\n 99→\tTimestamp int64\n 100→}\n 101→\n 102→// walRotateReq requests WAL file rotation for a specific host directory.\n 103→// The done channel is closed by the WAL goroutine when rotation is complete.\n 104→type walRotateReq struct {\n 105→\thostDir string\n 106→\tdone chan struct{}\n 107→}\n 108→\n 109→// walFileState holds an open WAL file handle for one host directory.\n 110→type walFileState struct {\n 111→\tf *os.File\n 112→}\n 113→\n 114→// WALStaging starts a background goroutine that receives WALMessage items\n 115→// and appends binary WAL records to per-host current.wal files.\n 116→// Also handles WAL rotation requests from the checkpoint goroutine.\n 117→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n 118→\twg.Go(func() {\n 119→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n 120→\t\t\treturn\n 121→\t\t}\n 122→\n 123→\t\thostFiles := make(map[string]*walFileState)\n 124→\n 125→\t\tdefer func() {\n 126→\t\t\tfor _, ws := range hostFiles {\n 127→\t\t\t\tif ws.f != nil {\n 128→\t\t\t\t\tws.f.Close()\n 129→\t\t\t\t}\n 130→\t\t\t}\n 131→\t\t}()\n 132→\n 133→\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n 134→\t\t\tws, ok := hostFiles[hostDir]\n 135→\t\t\tif ok {\n 136→\t\t\t\treturn ws.f\n 137→\t\t\t}\n 138→\n 139→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n 140→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n 141→\t\t\t\treturn nil\n 142→\t\t\t}\n 143→\n 144→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n 145→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n 146→\t\t\tif err != nil {\n 147→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n 148→\t\t\t\treturn nil\n 149→\t\t\t}\n 150→\n 151→\t\t\t// Write file header magic if file is new (empty).\n 152→\t\t\tinfo, err := f.Stat()\n 153→\t\t\tif err == nil && info.Size() == 0 {\n 154→\t\t\t\tvar hdr [4]byte\n 155→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n 156→\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n 157→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n 158→\t\t\t\t\tf.Close()\n 159→\t\t\t\t\treturn nil\n 160→\t\t\t\t}\n 161→\t\t\t}\n 162→\n 163→\t\t\thostFiles[hostDir] = &walFileState{f: f}\n 164→\t\t\treturn f\n 165→\t\t}\n 166→\n 167→\t\tprocessMsg := func(msg *WALMessage) {\n 168→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n 169→\t\t\tf := getOrOpenWAL(hostDir)\n 170→\t\t\tif f == nil {\n 171→\t\t\t\treturn\n 172→\t\t\t}\n 173→\t\t\tif err := writeWALRecord(f, msg); err != nil {\n 174→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n 175→\t\t\t}\n 176→\t\t}\n 177→\n 178→\t\tprocessRotate := func(req walRotateReq) {\n 179→\t\t\tws, ok := hostFiles[req.hostDir]\n 180→\t\t\tif ok && ws.f != nil {\n 181→\t\t\t\tws.f.Close()\n 182→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n 183→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 184→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 185→\t\t\t\t}\n 186→\t\t\t\tdelete(hostFiles, req.hostDir)\n 187→\t\t\t}\n 188→\t\t\tclose(req.done)\n 189→\t\t}\n 190→\n 191→\t\tdrain := func() {\n 192→\t\t\tfor {\n 193→\t\t\t\tselect {\n 194→\t\t\t\tcase msg, ok := <-WALMessages:\n 195→\t\t\t\t\tif !ok {\n 196→\t\t\t\t\t\treturn\n 197→\t\t\t\t\t}\n 198→\t\t\t\t\tprocessMsg(msg)\n 199→\t\t\t\tcase req := <-walRotateCh:\n 200→\t\t\t\t\tprocessRotate(req)\n 201→\t\t\t\tdefault:\n 202→\t\t\t\t\treturn\n 203→\t\t\t\t}\n 204→\t\t\t}\n 205→\t\t}\n 206→\n 207→\t\tfor {\n 208→\t\t\tselect {\n 209→\t\t\tcase <-ctx.Done():\n 210→\t\t\t\tdrain()\n 211→\t\t\t\treturn\n 212→\t\t\tcase msg, ok := <-WALMessages:\n 213→\t\t\t\tif !ok {\n 214→\t\t\t\t\treturn\n 215→\t\t\t\t}\n 216→\t\t\t\tprocessMsg(msg)\n 217→\t\t\tcase req := <-walRotateCh:\n 218→\t\t\t\tprocessRotate(req)\n 219→\t\t\t}\n 220→\t\t}\n 221→\t})\n 222→}\n 223→\n 224→// RotateWALFiles sends rotation requests for the given host directories\n 225→// and blocks until all rotations complete.\n 226→func RotateWALFiles(hostDirs []string) {\n 227→\tdones := make([]chan struct{}, len(hostDirs))\n 228→\tfor i, dir := range hostDirs {\n 229→\t\tdones[i] = make(chan struct{})\n 230→\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n 231→\t}\n 232→\tfor _, done := range dones {\n 233→\t\t<-done\n 234→\t}\n 235→}\n 236→\n 237→// RotateWALFiles sends rotation requests for the given host directories\n 238→// and blocks until all rotations complete.\n 239→func RotateWALFilesAfterShutdown(hostDirs []string) {\n 240→\tfor _, dir := range hostDirs {\n 241→\t\twalPath := path.Join(dir, \"current.wal\")\n 242→\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 243→\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 244→\t\t}\n 245→\t}\n 246→}\n 247→\n 248→// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\n 249→func buildWALPayload(msg *WALMessage) []byte {\n 250→\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n 251→\tfor _, s := range msg.Selector {\n 252→\t\tsize += 1 + len(s)\n 253→\t}\n 254→\n 255→\tbuf := make([]byte, 0, size)\n 256→\n 257→\t// Timestamp (8 bytes, little-endian int64)\n 258→\tvar ts [8]byte\n 259→\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n 260→\tbuf = append(buf, ts[:]...)\n 261→\n 262→\t// Metric name (2-byte length prefix + bytes)\n 263→\tvar mLen [2]byte\n 264→\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n 265→\tbuf = append(buf, mLen[:]...)\n 266→\tbuf = append(buf, msg.MetricName...)\n 267→\n 268→\t// Selector count (1 byte)\n 269→\tbuf = append(buf, byte(len(msg.Selector)))\n 270→\n 271→\t// Selectors (1-byte length prefix + bytes each)\n 272→\tfor _, sel := range msg.Selector {\n 273→\t\tbuf = append(buf, byte(len(sel)))\n 274→\t\tbuf = append(buf, sel...)\n 275→\t}\n 276→\n 277→\t// Value (4 bytes, float32 bit representation)\n 278→\tvar val [4]byte\n 279→\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n 280→\tbuf = append(buf, val[:]...)\n 281→\n 282→\treturn buf\n 283→}\n 284→\n 285→// writeWALRecord appends a binary WAL record to the file.\n 286→// Format: [4B magic][4B payload_len][payload][4B CRC32]\n 287→func writeWALRecord(f *os.File, msg *WALMessage) error {\n 288→\tpayload := buildWALPayload(msg)\n 289→\tcrc := crc32.ChecksumIEEE(payload)\n 290→\n 291→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n 292→\n 293→\tvar magic [4]byte\n 294→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n 295→\trecord = append(record, magic[:]...)\n 296→\n 297→\tvar pLen [4]byte\n 298→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n 299→\trecord = append(record, pLen[:]...)\n 300→\n 301→\trecord = append(record, payload...)\n 302→\n 303→\tvar crcBytes [4]byte\n 304→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n 305→\trecord = append(record, crcBytes[:]...)\n 306→\n 307→\t_, err := f.Write(record)\n 308→\treturn err\n 309→}\n 310→\n 311→// readWALRecord reads one WAL record from the reader.\n 312→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n 313→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n 314→func readWALRecord(r io.Reader) (*WALMessage, error) {\n 315→\tvar magic uint32\n 316→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n 317→\t\tif err == io.EOF {\n 318→\t\t\treturn nil, nil // Clean EOF\n 319→\t\t}\n 320→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n 321→\t}\n 322→\n 323→\tif magic != walRecordMagic {\n 324→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n 325→\t}\n 326→\n 327→\tvar payloadLen uint32\n 328→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n 329→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n 330→\t}\n 331→\n 332→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n 333→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n 334→\t}\n 335→\n 336→\tpayload := make([]byte, payloadLen)\n 337→\tif _, err := io.ReadFull(r, payload); err != nil {\n 338→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n 339→\t}\n 340→\n 341→\tvar storedCRC uint32\n 342→\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n 343→\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n 344→\t}\n 345→\n 346→\tif crc32.ChecksumIEEE(payload) != storedCRC {\n 347→\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n 348→\t}\n 349→\n 350→\treturn parseWALPayload(payload)\n 351→}\n 352→\n 353→// parseWALPayload decodes a binary payload into a WALMessage.\n 354→func parseWALPayload(payload []byte) (*WALMessage, error) {\n 355→\tif len(payload) < 8+2+1+4 {\n 356→\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n 357→\t}\n 358→\n 359→\toffset := 0\n 360→\n 361→\t// Timestamp (8 bytes)\n 362→\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n 363→\toffset += 8\n 364→\n 365→\t// Metric name (2-byte length + bytes)\n 366→\tif offset+2 > len(payload) {\n 367→\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n 368→\t}\n 369→\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n 370→\toffset += 2\n 371→\n 372→\tif offset+mLen > len(payload) {\n 373→\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n 374→\t}\n 375→\tmetricName := string(payload[offset : offset+mLen])\n 376→\toffset += mLen\n 377→\n 378→\t// Selector count (1 byte)\n 379→\tif offset >= len(payload) {\n 380→\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n 381→\t}\n 382→\tselCount := int(payload[offset])\n 383→\toffset++\n 384→\n 385→\tselectors := make([]string, selCount)\n 386→\tfor i := range selCount {\n 387→\t\tif offset >= len(payload) {\n 388→\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n 389→\t\t}\n 390→\t\tsLen := int(payload[offset])\n 391→\t\toffset++\n 392→\n 393→\t\tif offset+sLen > len(payload) {\n 394→\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n 395→\t\t}\n 396→\t\tselectors[i] = string(payload[offset : offset+sLen])\n 397→\t\toffset += sLen\n 398→\t}\n 399→\n 400→\t// Value (4 bytes, float32 bits)\n 401→\tif offset+4 > len(payload) {\n 402→\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n 403→\t}\n 404→\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n 405→\tvalue := schema.Float(math.Float32frombits(bits))\n 406→\n 407→\treturn &WALMessage{\n 408→\t\tMetricName: metricName,\n 409→\t\tTimestamp: ts,\n 410→\t\tSelector: selectors,\n 411→\t\tValue: value,\n 412→\t}, nil\n 413→}\n 414→\n 415→// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n 416→// l is the host-level node. Corrupt or partial trailing records are silently skipped\n 417→// (expected on crash). Records older than 'from' are skipped.\n 418→func (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n 419→\tbr := bufio.NewReader(f)\n 420→\n 421→\t// Verify file header magic.\n 422→\tvar fileMagic uint32\n 423→\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n 424→\t\tif err == io.EOF {\n 425→\t\t\treturn nil // Empty file, no data\n 426→\t\t}\n 427→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n 428→\t}\n 429→\n 430→\tif fileMagic != walFileMagic {\n 431→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n 432→\t}\n 433→\n 434→\t// Cache level lookups to avoid repeated tree traversal.\n 435→\tlvlCache := make(map[string]*Level)\n 436→\n 437→\tfor {\n 438→\t\tmsg, err := readWALRecord(br)\n 439→\t\tif err != nil {\n 440→\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n 441→\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n 442→\t\t\tbreak\n 443→\t\t}\n 444→\t\tif msg == nil {\n 445→\t\t\tbreak // Clean EOF\n 446→\t\t}\n 447→\n 448→\t\tif msg.Timestamp < from {\n 449→\t\t\tcontinue // Older than retention window\n 450→\t\t}\n 451→\n 452→\t\tminfo, ok := m.Metrics[msg.MetricName]\n 453→\t\tif !ok {\n 454→\t\t\tcontinue // Unknown metric (config may have changed)\n 455→\t\t}\n 456→\n 457→\t\t// Cache key is the null-separated selector path.\n 458→\t\tcacheKey := joinSelector(msg.Selector)\n 459→\t\tlvl, ok := lvlCache[cacheKey]\n 460→\t\tif !ok {\n 461→\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n 462→\t\t\tlvlCache[cacheKey] = lvl\n 463→\t\t}\n 464→\n 465→\t\t// Write directly to the buffer, same as WriteToLevel but without the\n 466→\t\t// global level lookup (we already have the right level).\n 467→\t\tlvl.lock.Lock()\n 468→\t\tb := lvl.metrics[minfo.offset]\n 469→\t\tif b == nil {\n 470→\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n 471→\t\t\tlvl.metrics[minfo.offset] = b\n 472→\t\t}\n 473→\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n 474→\t\tif writeErr == nil && b != nb {\n 475→\t\t\tlvl.metrics[minfo.offset] = nb\n 476→\t\t}\n 477→\t\t// Ignore write errors for timestamps before buffer start (can happen when\n 478→\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n 479→\t\tlvl.lock.Unlock()\n 480→\t}\n 481→\n 482→\treturn nil\n 483→}\n 484→\n 485→// joinSelector builds a cache key from a selector slice using null bytes as separators.\n 486→func joinSelector(sel []string) string {\n 487→\tif len(sel) == 0 {\n 488→\t\treturn \"\"\n 489→\t}\n 490→\tvar result strings.Builder\n 491→\tresult.WriteString(sel[0])\n 492→\tfor i := 1; i < len(sel); i++ {\n 493→\t\tresult.WriteString(\"\\x00\" + sel[i])\n 494→\t}\n 495→\treturn result.String()\n 496→}\n 497→\n 498→// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n 499→// Returns the number of files written, the list of host directories that were\n 500→// successfully checkpointed (for WAL rotation), and any errors.\n 501→func (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n 502→\t// Collect all cluster/host pairs.\n 503→\tm.root.lock.RLock()\n 504→\ttotalHosts := 0\n 505→\tfor _, l1 := range m.root.children {\n 506→\t\tl1.lock.RLock()\n 507→\t\ttotalHosts += len(l1.children)\n 508→\t\tl1.lock.RUnlock()\n 509→\t}\n 510→\tm.root.lock.RUnlock()\n 511→\n 512→\tlevels := make([]*Level, 0, totalHosts)\n 513→\tselectors := make([][]string, 0, totalHosts)\n 514→\n 515→\tm.root.lock.RLock()\n 516→\tfor sel1, l1 := range m.root.children {\n 517→\t\tl1.lock.RLock()\n 518→\t\tfor sel2, l2 := range l1.children {\n 519→\t\t\tlevels = append(levels, l2)\n 520→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n 521→\t\t}\n 522→\t\tl1.lock.RUnlock()\n 523→\t}\n 524→\tm.root.lock.RUnlock()\n 525→\n 526→\ttype workItem struct {\n 527→\t\tlevel *Level\n 528→\t\thostDir string\n 529→\t\tselector []string\n 530→\t}\n 531→\n 532→\tn, errs := int32(0), int32(0)\n 533→\tvar successDirs []string\n 534→\tvar successMu sync.Mutex\n 535→\n 536→\tvar wg sync.WaitGroup\n 537→\twg.Add(Keys.NumWorkers)\n 538→\twork := make(chan workItem, Keys.NumWorkers*2)\n 539→\n 540→\tfor range Keys.NumWorkers {\n 541→\t\tgo func() {\n 542→\t\t\tdefer wg.Done()\n 543→\t\t\tfor wi := range work {\n 544→\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n 545→\t\t\t\tif err != nil {\n 546→\t\t\t\t\tif err == ErrNoNewArchiveData {\n 547→\t\t\t\t\t\tcontinue\n 548→\t\t\t\t\t}\n 549→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n 550→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 551→\t\t\t\t} else {\n 552→\t\t\t\t\tatomic.AddInt32(&n, 1)\n 553→\t\t\t\t\tsuccessMu.Lock()\n 554→\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n 555→\t\t\t\t\tsuccessMu.Unlock()\n 556→\t\t\t\t}\n 557→\t\t\t}\n 558→\t\t}()\n 559→\t}\n 560→\n 561→\tfor i := range levels {\n 562→\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n 563→\t\twork <- workItem{\n 564→\t\t\tlevel: levels[i],\n 565→\t\t\thostDir: hostDir,\n 566→\t\t\tselector: selectors[i],\n 567→\t\t}\n 568→\t}\n 569→\tclose(work)\n 570→\twg.Wait()\n 571→\n 572→\tif errs > 0 {\n 573→\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n 574→\t}\n 575→\treturn int(n), successDirs, nil\n 576→}\n 577→\n 578→// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n 579→// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\n 580→func (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n 581→\tcf, err := l.toCheckpointFile(from, to, m)\n 582→\tif err != nil {\n 583→\t\treturn err\n 584→\t}\n 585→\tif cf == nil {\n 586→\t\treturn ErrNoNewArchiveData\n 587→\t}\n 588→\n 589→\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n 590→\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n 591→\t}\n 592→\n 593→\t// Write to a temp file first, then rename (atomic on POSIX).\n 594→\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n 595→\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n 596→\n 597→\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 598→\tif err != nil {\n 599→\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n 600→\t}\n 601→\n 602→\tbw := bufio.NewWriter(f)\n 603→\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n 604→\t\tf.Close()\n 605→\t\tos.Remove(tmpPath)\n 606→\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n 607→\t}\n 608→\tif err := bw.Flush(); err != nil {\n 609→\t\tf.Close()\n 610→\t\tos.Remove(tmpPath)\n 611→\t\treturn err\n 612→\t}\n 613→\tf.Close()\n 614→\n 615→\treturn os.Rename(tmpPath, finalPath)\n 616→}\n 617→\n 618→// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\n 619→func writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n 620→\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n 621→\t\treturn err\n 622→\t}\n 623→\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n 624→\t\treturn err\n 625→\t}\n 626→\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n 627→\t\treturn err\n 628→\t}\n 629→\treturn writeBinaryLevel(w, cf)\n 630→}\n 631→\n 632→// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\n 633→func writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n 634→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n 635→\t\treturn err\n 636→\t}\n 637→\n 638→\tfor name, metric := range cf.Metrics {\n 639→\t\tif err := writeString16(w, name); err != nil {\n 640→\t\t\treturn err\n 641→\t\t}\n 642→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n 643→\t\t\treturn err\n 644→\t\t}\n 645→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n 646→\t\t\treturn err\n 647→\t\t}\n 648→\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n 649→\t\t\treturn err\n 650→\t\t}\n 651→\t\tfor _, v := range metric.Data {\n 652→\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n 653→\t\t\t\treturn err\n 654→\t\t\t}\n 655→\t\t}\n 656→\t}\n 657→\n 658→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n 659→\t\treturn err\n 660→\t}\n 661→\n 662→\tfor name, child := range cf.Children {\n 663→\t\tif err := writeString16(w, name); err != nil {\n 664→\t\t\treturn err\n 665→\t\t}\n 666→\t\tif err := writeBinaryLevel(w, child); err != nil {\n 667→\t\t\treturn err\n 668→\t\t}\n 669→\t}\n 670→\n 671→\treturn nil\n 672→}\n 673→\n 674→// writeString16 writes a 2-byte length-prefixed string to w.\n 675→func writeString16(w io.Writer, s string) error {\n 676→\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n 677→\t\treturn err\n 678→\t}\n 679→\t_, err := io.WriteString(w, s)\n 680→\treturn err\n 681→}\n 682→\n 683→// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n 684→// The retention check (from) is applied to the file's 'to' timestamp.\n 685→func (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n 686→\tbr := bufio.NewReader(f)\n 687→\n 688→\tvar magic uint32\n 689→\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 690→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n 691→\t}\n 692→\tif magic != snapFileMagic {\n 693→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n 694→\t}\n 695→\n 696→\tvar fileFrom, fileTo int64\n 697→\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 698→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n 699→\t}\n 700→\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 701→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n 702→\t}\n 703→\n 704→\tif fileTo != 0 && fileTo < from {\n 705→\t\treturn nil // File is older than retention window, skip it\n 706→\t}\n 707→\n 708→\tcf, err := readBinaryLevel(br)\n 709→\tif err != nil {\n 710→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n 711→\t}\n 712→\tcf.From = fileFrom\n 713→\tcf.To = fileTo\n 714→\n 715→\treturn l.loadFile(cf, m)\n 716→}\n 717→\n 718→// readBinaryLevel recursively reads a level from the binary snapshot format.\n 719→func readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n 720→\tcf := &CheckpointFile{\n 721→\t\tMetrics: make(map[string]*CheckpointMetrics),\n 722→\t\tChildren: make(map[string]*CheckpointFile),\n 723→\t}\n 724→\n 725→\tvar numMetrics uint32\n 726→\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n 727→\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n 728→\t}\n 729→\n 730→\tfor range numMetrics {\n 731→\t\tname, err := readString16(r)\n 732→\t\tif err != nil {\n 733→\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n 734→\t\t}\n 735→\n 736→\t\tvar freq, start int64\n 737→\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n 738→\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n 739→\t\t}\n 740→\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n 741→\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n 742→\t\t}\n 743→\n 744→\t\tvar numValues uint32\n 745→\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n 746→\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n 747→\t\t}\n 748→\n 749→\t\tdata := make([]schema.Float, numValues)\n 750→\t\tfor i := range numValues {\n 751→\t\t\tvar bits uint32\n 752→\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n 753→\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n 754→\t\t\t}\n 755→\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n 756→\t\t}\n 757→\n 758→\t\tcf.Metrics[name] = &CheckpointMetrics{\n 759→\t\t\tFrequency: freq,\n 760→\t\t\tStart: start,\n 761→\t\t\tData: data,\n 762→\t\t}\n 763→\t}\n 764→\n 765→\tvar numChildren uint32\n 766→\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n 767→\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n 768→\t}\n 769→\n 770→\tfor range numChildren {\n 771→\t\tchildName, err := readString16(r)\n 772→\t\tif err != nil {\n 773→\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n 774→\t\t}\n 775→\n 776→\t\tchild, err := readBinaryLevel(r)\n 777→\t\tif err != nil {\n 778→\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n 779→\t\t}\n 780→\t\tcf.Children[childName] = child\n 781→\t}\n 782→\n 783→\treturn cf, nil\n 784→}\n 785→\n 786→// readString16 reads a 2-byte length-prefixed string from r.\n 787→func readString16(r io.Reader) (string, error) {\n 788→\tvar sLen uint16\n 789→\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n 790→\t\treturn \"\", err\n 791→\t}\n 792→\tbuf := make([]byte, sLen)\n 793→\tif _, err := io.ReadFull(r, buf); err != nil {\n 794→\t\treturn \"\", err\n 795→\t}\n 796→\treturn string(buf), nil\n 797→}\n 798→"}]},"uuid":"c575f94f-cc65-4ca8-8ddd-1aa26f11dfee","timestamp":"2026-03-13T08:03:16.027Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","numLines":798,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c575f94f-cc65-4ca8-8ddd-1aa26f11dfee","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018FwVAF94DAfeRuYNMqFYwV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RjX8AuT1dcze7J7SdFvzNG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","offset":110,"limit":15},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9929,"cache_read_input_tokens":8781,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":9929,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjLJQif5aqRtUhD5PCh","type":"assistant","uuid":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","timestamp":"2026-03-13T08:03:16.446Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RjX8AuT1dcze7J7SdFvzNG","toolUseID":"toolu_01RjX8AuT1dcze7J7SdFvzNG","timestamp":"2026-03-13T08:03:16.450Z","uuid":"6486ae42-1514-48a9-b3ff-f11346931e07","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RjX8AuT1dcze7J7SdFvzNG","type":"tool_result","content":" 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`"}]},"uuid":"d567ec49-a00a-4fdf-8bb0-175df2bd3d16","timestamp":"2026-03-13T08:03:16.450Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`","numLines":15,"startLine":110,"totalLines":255}},"sourceToolAssistantUUID":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d567ec49-a00a-4fdf-8bb0-175df2bd3d16","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EayjnHu9NvPPTPJNrwWv1t","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11655,"cache_read_input_tokens":18710,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11655},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjLcpzdYcxEJpKjT6yg","type":"assistant","uuid":"7fad88e5-284a-49a1-832b-835fb08be146","timestamp":"2026-03-13T08:03:25.258Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"7fad88e5-284a-49a1-832b-835fb08be146","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EayjnHu9NvPPTPJNrwWv1t","type":"message","role":"assistant","content":[{"type":"text","text":"Now I'll implement both improvements. Let me start with all the edits.\n\n**Improvement 1: WAL buffering** — Add `bufio.Writer` to `walFileState` and use it throughout.\n\n**Improvement 3: Fix MemoryCap comment.**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11655,"cache_read_input_tokens":18710,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11655},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjLcpzdYcxEJpKjT6yg","type":"assistant","uuid":"5c0abb68-5b89-43db-96a6-93262bdc086a","timestamp":"2026-03-13T08:03:26.242Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5c0abb68-5b89-43db-96a6-93262bdc086a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EayjnHu9NvPPTPJNrwWv1t","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WuetEHX1drYV4PwcCrgL4z","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}","new_string":"// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11655,"cache_read_input_tokens":18710,"output_tokens":576,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":11655,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjLcpzdYcxEJpKjT6yg","type":"assistant","uuid":"15af7cb6-9db4-4588-8030-8d8d99881158","timestamp":"2026-03-13T08:03:28.348Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"15af7cb6-9db4-4588-8030-8d8d99881158","snapshot":{"messageId":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","trackedFileBackups":{"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v1","version":1,"backupTime":"2026-03-13T08:03:28.370Z"}},"timestamp":"2026-03-13T08:03:12.124Z"},"isSnapshotUpdate":true} +{"parentUuid":"15af7cb6-9db4-4588-8030-8d8d99881158","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01WuetEHX1drYV4PwcCrgL4z","toolUseID":"toolu_01WuetEHX1drYV4PwcCrgL4z","timestamp":"2026-03-13T08:03:28.372Z","uuid":"65fc4fd8-3f0f-4133-8c4d-f46f09a217a0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"15af7cb6-9db4-4588-8030-8d8d99881158","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WuetEHX1drYV4PwcCrgL4z","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"b64f5cc6-b943-4c71-b89c-58221cc38338","timestamp":"2026-03-13T08:03:28.371Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}","newString":"// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":106,"oldLines":9,"newStart":106,"newLines":10,"lines":[" done chan struct{}"," }"," ","-// walFileState holds an open WAL file handle for one host directory.","+// walFileState holds an open WAL file handle and buffered writer for one host directory."," type walFileState struct {"," f *os.File","+ w *bufio.Writer"," }"," "," // WALStaging starts a background goroutine that receives WALMessage items"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"15af7cb6-9db4-4588-8030-8d8d99881158","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b64f5cc6-b943-4c71-b89c-58221cc38338","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0188x2hcuuPGt9zJyPunvFCo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()","new_string":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":635,"cache_read_input_tokens":30365,"output_tokens":210,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":635},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjMVnc8poiApSy5FdZg","type":"assistant","uuid":"f9d526f1-9b8e-440a-83d2-09111b6770c5","timestamp":"2026-03-13T08:03:32.026Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f9d526f1-9b8e-440a-83d2-09111b6770c5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","toolUseID":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","timestamp":"2026-03-13T08:03:32.042Z","uuid":"28de42c7-26eb-4ca4-a23e-87857ccf2078","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f9d526f1-9b8e-440a-83d2-09111b6770c5","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"d20cf8a4-64ed-4101-87d6-d726bca2e2cc","timestamp":"2026-03-13T08:03:32.041Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()","newString":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":126,"oldLines":6,"newStart":126,"newLines":7,"lines":[" defer func() {"," for _, ws := range hostFiles {"," if ws.f != nil {","+ ws.w.Flush()"," ws.f.Close()"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f9d526f1-9b8e-440a-83d2-09111b6770c5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d20cf8a4-64ed-4101-87d6-d726bca2e2cc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CPiFo3gZo2o2Mykt9n43sv","type":"message","role":"assistant","content":[{"type":"text","text":"Now change `getOrOpenWAL` to return `*walFileState` and wrap the file with a `bufio.Writer`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":276,"cache_read_input_tokens":31000,"cache_creation":{"ephemeral_5m_input_tokens":276,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjMmWR7JeF3WVtGCo51","type":"assistant","uuid":"f481149d-6d8e-49a1-acb2-c9b31ef6c65c","timestamp":"2026-03-13T08:03:37.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f481149d-6d8e-49a1-acb2-c9b31ef6c65c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CPiFo3gZo2o2Mykt9n43sv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01APuPomfy3Cy5ES5VMwug2C","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}","new_string":"\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":276,"cache_read_input_tokens":31000,"output_tokens":946,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":276},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjMmWR7JeF3WVtGCo51","type":"assistant","uuid":"57d6b745-fd0f-4071-883a-2711e6b40917","timestamp":"2026-03-13T08:03:45.553Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"57d6b745-fd0f-4071-883a-2711e6b40917","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01APuPomfy3Cy5ES5VMwug2C","toolUseID":"toolu_01APuPomfy3Cy5ES5VMwug2C","timestamp":"2026-03-13T08:03:45.565Z","uuid":"6ea0e261-2eeb-4c3c-a919-29189061e4d7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"57d6b745-fd0f-4071-883a-2711e6b40917","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01APuPomfy3Cy5ES5VMwug2C","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"4f92ab32-0d09-4b9c-947d-eae5823aca89","timestamp":"2026-03-13T08:03:45.564Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}","newString":"\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":132,"oldLines":10,"newStart":132,"newLines":10,"lines":[" }"," }()"," ","- getOrOpenWAL := func(hostDir string) *os.File {","+ getOrOpenWAL := func(hostDir string) *walFileState {"," ws, ok := hostFiles[hostDir]"," if ok {","- return ws.f","+ return ws"," }"," "," if err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {"]},{"oldStart":150,"oldLines":20,"newStart":150,"newLines":23,"lines":[" return nil"," }"," ","+ w := bufio.NewWriter(f)","+"," // Write file header magic if file is new (empty)."," info, err := f.Stat()"," if err == nil && info.Size() == 0 {"," var hdr [4]byte"," binary.LittleEndian.PutUint32(hdr[:], walFileMagic)","- if _, err := f.Write(hdr[:]); err != nil {","+ if _, err := w.Write(hdr[:]); err != nil {"," cclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)"," f.Close()"," return nil"," }"," }"," ","- hostFiles[hostDir] = &walFileState{f: f}","- return f","+ ws = &walFileState{f: f, w: w}","+ hostFiles[hostDir] = ws","+ return ws"," }"," "," processMsg := func(msg *WALMessage) {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"57d6b745-fd0f-4071-883a-2711e6b40917","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4f92ab32-0d09-4b9c-947d-eae5823aca89","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TrTmA8CG45Sg55giuiGTfE","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `processMsg` to use the buffered writer:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":993,"cache_read_input_tokens":31276,"cache_creation":{"ephemeral_5m_input_tokens":993,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjNmMGQNYdL13HSCoEU","type":"assistant","uuid":"8cbcc024-6faf-4d49-88b5-bfe50209966e","timestamp":"2026-03-13T08:03:47.590Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8cbcc024-6faf-4d49-88b5-bfe50209966e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TrTmA8CG45Sg55giuiGTfE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}","new_string":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":993,"cache_read_input_tokens":31276,"output_tokens":388,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":993},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjNmMGQNYdL13HSCoEU","type":"assistant","uuid":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","timestamp":"2026-03-13T08:03:51.176Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","toolUseID":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","timestamp":"2026-03-13T08:03:51.186Z","uuid":"d98a8f06-10c8-477d-b2ab-c3496ca21fbc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"c4611ab5-54d1-4825-8ea7-6cb920cc6418","timestamp":"2026-03-13T08:03:51.186Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}","newString":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":171,"oldLines":11,"newStart":171,"newLines":11,"lines":[" "," processMsg := func(msg *WALMessage) {"," hostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)","- f := getOrOpenWAL(hostDir)","- if f == nil {","+ ws := getOrOpenWAL(hostDir)","+ if ws == nil {"," return"," }","- if err := writeWALRecord(f, msg); err != nil {","+ if err := writeWALRecord(ws.w, msg); err != nil {"," cclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c4611ab5-54d1-4825-8ea7-6cb920cc6418","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UNERQNa4FzWNHUaBKkWKzh","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `processRotate` to flush before closing:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":635,"cache_read_input_tokens":32269,"cache_creation":{"ephemeral_5m_input_tokens":635,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjPBRNAA59qKULDdCdH","type":"assistant","uuid":"37b40d4d-ffe8-4946-9adb-33f02075b3a8","timestamp":"2026-03-13T08:03:53.742Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"37b40d4d-ffe8-4946-9adb-33f02075b3a8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UNERQNa4FzWNHUaBKkWKzh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019xVBEqjuoJKKDUnm78yevb","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}","new_string":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":635,"cache_read_input_tokens":32269,"output_tokens":464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":635},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjPBRNAA59qKULDdCdH","type":"assistant","uuid":"629b1723-446b-4330-a0a9-65b3a048714c","timestamp":"2026-03-13T08:03:57.108Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"629b1723-446b-4330-a0a9-65b3a048714c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_019xVBEqjuoJKKDUnm78yevb","toolUseID":"toolu_019xVBEqjuoJKKDUnm78yevb","timestamp":"2026-03-13T08:03:57.125Z","uuid":"d031e94d-e541-4547-9db9-3faf4fcbb06a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"629b1723-446b-4330-a0a9-65b3a048714c","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019xVBEqjuoJKKDUnm78yevb","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"3087c8a5-8d29-4494-89d0-0c8d2a554ba8","timestamp":"2026-03-13T08:03:57.124Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}","newString":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":183,"oldLines":6,"newStart":183,"newLines":7,"lines":[" processRotate := func(req walRotateReq) {"," ws, ok := hostFiles[req.hostDir]"," if ok && ws.f != nil {","+ ws.w.Flush()"," ws.f.Close()"," walPath := path.Join(req.hostDir, \"current.wal\")"," if err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"629b1723-446b-4330-a0a9-65b3a048714c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"3087c8a5-8d29-4494-89d0-0c8d2a554ba8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VNQJS2FwybWgBCADnNLyCm","type":"message","role":"assistant","content":[{"type":"text","text":"Now add a flush in `drain` after processing remaining 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buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":603,"cache_read_input_tokens":32904,"output_tokens":363,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":603},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjPcidicE1bFXJVFNH7","type":"assistant","uuid":"b07542a8-efab-4943-824d-cad4543386b0","timestamp":"2026-03-13T08:04:02.318Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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successfully."}]},"uuid":"a8cf2d2a-3f23-4048-852e-c8a34b4fa53c","timestamp":"2026-03-13T08:04:02.329Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}","newString":"\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":205,"oldLines":6,"newStart":205,"newLines":12,"lines":[" case req := <-walRotateCh:"," processRotate(req)"," default:","+ // Flush all buffered writers after draining remaining messages.","+ for _, ws := range hostFiles {","+ if ws.f != nil {","+ ws.w.Flush()","+ }","+ }"," return"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b07542a8-efab-4943-824d-cad4543386b0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a8cf2d2a-3f23-4048-852e-c8a34b4fa53c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018u3kj274fyS3WeADdHT71r","type":"message","role":"assistant","content":[{"type":"text","text":"Now change the `writeWALRecord` signature from `*os.File` to `io.Writer`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":410,"cache_read_input_tokens":33507,"cache_creation":{"ephemeral_5m_input_tokens":410,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjPzy6Yfaa6SCd9fvBg","type":"assistant","uuid":"10c682ac-9e6a-4aaa-99a8-21ff4b146ace","timestamp":"2026-03-13T08:04:04.502Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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[4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}","new_string":"// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn 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writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); 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triggers forceFree when exceeded","newString":"// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","structuredPatch":[{"oldStart":113,"oldLines":7,"newStart":113,"newLines":7,"lines":[" // Fields:"," // - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))"," // - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention","-// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded","+// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded"," // - 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Here's a summary of the changes:\n\n**Improvement 1 — WAL buffering** (`pkg/metricstore/walCheckpoint.go`):\n- Added `w *bufio.Writer` to `walFileState` struct\n- `getOrOpenWAL` now wraps the file with `bufio.NewWriter` and returns `*walFileState`\n- `writeWALRecord` signature changed from `*os.File` to `io.Writer` — writes go through the buffer\n- Header magic write also goes through `bufio.Writer`\n- Flush calls added in three places: `processRotate` (before close), `defer` cleanup (before close), and `drain` (after processing remaining messages)\n\n**Improvement 3 — Comment fix** (`pkg/metricstore/config.go:116`):\n- Fixed misleading comment: \"Max bytes\" → \"Max memory in GB\""}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":143,"cache_read_input_tokens":35170,"output_tokens":216,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":143},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjRoAVLCY5CgdqBPwvA","type":"assistant","uuid":"9d4955d0-1727-4194-b813-5bb01ac487fa","timestamp":"2026-03-13T08:04:33.473Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"9d4955d0-1727-4194-b813-5bb01ac487fa","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\tmodified: pkg/metricstore/walCheckpoint.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"4422bd77-060e-42c6-8afe-755a17f52196","timestamp":"2026-03-13T08:05:15.667Z","toolUseResult":{"stdout":"On branch hotfix\nYour branch is up to date with 'origin/hotfix'.\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\tmodified: pkg/metricstore/walCheckpoint.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5375feba-7d94-4710-bdb0-b10436c0c8ef","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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changes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":282,"cache_read_input_tokens":35313,"cache_creation":{"ephemeral_5m_input_tokens":282,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjV8DJdwUbYZP6SrEMH","type":"assistant","uuid":"5bde0806-d34f-4d73-9a99-22bec022bd26","timestamp":"2026-03-13T08:05:16.489Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5bde0806-d34f-4d73-9a99-22bec022bd26","isSidechain":false,"promptId":"99e4087b-ecde-4d72-a0fa-e2b512929d27","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BFQr6RY6hfQuL64B73u5YZ","type":"tool_result","content":"diff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 44743dbe..f6c56672 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -113,7 +113,7 @@ type Subscriptions []struct {\n // Fields:\n // - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n // - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n-// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n+// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded\n // - Checkpoints: Periodic persistence configuration\n // - Debug: Development/profiling options (nil = disabled)\n // - Archive: Long-term storage configuration (nil = disabled)\n@@ -121,13 +121,14 @@ type Subscriptions []struct {\n type MetricStoreConfig struct {\n \t// Number of concurrent workers for checkpoint and archive operations.\n \t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n-\tNumWorkers int `json:\"num-workers\"`\n-\tRetentionInMemory string `json:\"retention-in-memory\"`\n-\tMemoryCap int `json:\"memory-cap\"`\n-\tCheckpoints Checkpoints `json:\"checkpoints\"`\n-\tDebug *Debug `json:\"debug\"`\n-\tCleanup *Cleanup `json:\"cleanup\"`\n-\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n+\tNumWorkers int `json:\"num-workers\"`\n+\tRetentionInMemory string `json:\"retention-in-memory\"`\n+\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n+\tMemoryCap int `json:\"memory-cap\"`\n+\tCheckpoints Checkpoints `json:\"checkpoints\"`\n+\tDebug *Debug `json:\"debug\"`\n+\tCleanup *Cleanup `json:\"cleanup\"`\n+\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n }\n \n // Keys is the global metricstore configuration instance.\ndiff --git a/pkg/metricstore/walCheckpoint.go b/pkg/metricstore/walCheckpoint.go\nindex 07414d98..e8a6586f 100644\n--- a/pkg/metricstore/walCheckpoint.go\n+++ b/pkg/metricstore/walCheckpoint.go\n@@ -106,9 +106,10 @@ type walRotateReq struct {\n \tdone chan struct{}\n }\n \n-// walFileState holds an open WAL file handle for one host directory.\n+// walFileState holds an open WAL file handle and buffered writer for one host directory.\n type walFileState struct {\n \tf *os.File\n+\tw *bufio.Writer\n }\n \n // WALStaging starts a background goroutine that receives WALMessage items\n@@ -125,15 +126,16 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tdefer func() {\n \t\t\tfor _, ws := range hostFiles {\n \t\t\t\tif ws.f != nil {\n+\t\t\t\t\tws.w.Flush()\n \t\t\t\t\tws.f.Close()\n \t\t\t\t}\n \t\t\t}\n \t\t}()\n \n-\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n+\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n \t\t\tws, ok := hostFiles[hostDir]\n \t\t\tif ok {\n-\t\t\t\treturn ws.f\n+\t\t\t\treturn ws\n \t\t\t}\n \n \t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n@@ -148,29 +150,32 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\treturn nil\n \t\t\t}\n \n+\t\t\tw := bufio.NewWriter(f)\n+\n \t\t\t// Write file header magic if file is new (empty).\n \t\t\tinfo, err := f.Stat()\n \t\t\tif err == nil && info.Size() == 0 {\n \t\t\t\tvar hdr [4]byte\n \t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n-\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n+\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n \t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n \t\t\t\t\tf.Close()\n \t\t\t\t\treturn nil\n \t\t\t\t}\n \t\t\t}\n \n-\t\t\thostFiles[hostDir] = &walFileState{f: f}\n-\t\t\treturn f\n+\t\t\tws = &walFileState{f: f, w: w}\n+\t\t\thostFiles[hostDir] = ws\n+\t\t\treturn ws\n \t\t}\n \n \t\tprocessMsg := func(msg *WALMessage) {\n \t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n-\t\t\tf := getOrOpenWAL(hostDir)\n-\t\t\tif f == nil {\n+\t\t\tws := getOrOpenWAL(hostDir)\n+\t\t\tif ws == nil {\n \t\t\t\treturn\n \t\t\t}\n-\t\t\tif err := writeWALRecord(f, msg); err != nil {\n+\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n \t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n \t\t\t}\n \t\t}\n@@ -178,6 +183,7 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tprocessRotate := func(req walRotateReq) {\n \t\t\tws, ok := hostFiles[req.hostDir]\n \t\t\tif ok && ws.f != nil {\n+\t\t\t\tws.w.Flush()\n \t\t\t\tws.f.Close()\n \t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n \t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n@@ -199,6 +205,12 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\tcase req := <-walRotateCh:\n \t\t\t\t\tprocessRotate(req)\n \t\t\t\tdefault:\n+\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n+\t\t\t\t\tfor _, ws := range hostFiles {\n+\t\t\t\t\t\tif ws.f != nil {\n+\t\t\t\t\t\t\tws.w.Flush()\n+\t\t\t\t\t\t}\n+\t\t\t\t\t}\n \t\t\t\t\treturn\n \t\t\t\t}\n \t\t\t}\n@@ -282,9 +294,9 @@ func buildWALPayload(msg *WALMessage) []byte {\n \treturn buf\n }\n \n-// writeWALRecord appends a binary WAL record to the file.\n+// writeWALRecord appends a binary WAL record to the writer.\n // Format: [4B magic][4B payload_len][payload][4B CRC32]\n-func writeWALRecord(f *os.File, msg *WALMessage) error {\n+func writeWALRecord(w io.Writer, msg *WALMessage) error {\n \tpayload := buildWALPayload(msg)\n \tcrc := crc32.ChecksumIEEE(payload)\n \n@@ -304,7 +316,7 @@ func writeWALRecord(f *os.File, msg *WALMessage) error {\n \tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n \trecord = append(record, crcBytes[:]...)\n \n-\t_, err := f.Write(record)\n+\t_, err := w.Write(record)\n \treturn err\n }","is_error":false}]},"uuid":"7e6075b8-3685-4bf2-a95b-bd56a257dd18","timestamp":"2026-03-13T08:05:16.534Z","toolUseResult":{"stdout":"diff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 44743dbe..f6c56672 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -113,7 +113,7 @@ type Subscriptions []struct {\n // Fields:\n // - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n // - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n-// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n+// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded\n // - Checkpoints: Periodic persistence configuration\n // - Debug: Development/profiling options (nil = disabled)\n // - Archive: Long-term storage configuration (nil = disabled)\n@@ -121,13 +121,14 @@ type Subscriptions []struct {\n type MetricStoreConfig struct {\n \t// Number of concurrent workers for checkpoint and archive operations.\n \t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n-\tNumWorkers int `json:\"num-workers\"`\n-\tRetentionInMemory string `json:\"retention-in-memory\"`\n-\tMemoryCap int `json:\"memory-cap\"`\n-\tCheckpoints Checkpoints `json:\"checkpoints\"`\n-\tDebug *Debug `json:\"debug\"`\n-\tCleanup *Cleanup `json:\"cleanup\"`\n-\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n+\tNumWorkers int `json:\"num-workers\"`\n+\tRetentionInMemory string `json:\"retention-in-memory\"`\n+\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n+\tMemoryCap int `json:\"memory-cap\"`\n+\tCheckpoints Checkpoints `json:\"checkpoints\"`\n+\tDebug *Debug `json:\"debug\"`\n+\tCleanup *Cleanup `json:\"cleanup\"`\n+\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n }\n \n // Keys is the global metricstore configuration instance.\ndiff --git a/pkg/metricstore/walCheckpoint.go b/pkg/metricstore/walCheckpoint.go\nindex 07414d98..e8a6586f 100644\n--- a/pkg/metricstore/walCheckpoint.go\n+++ b/pkg/metricstore/walCheckpoint.go\n@@ -106,9 +106,10 @@ type walRotateReq struct {\n \tdone chan struct{}\n }\n \n-// walFileState holds an open WAL file handle for one host directory.\n+// walFileState holds an open WAL file handle and buffered writer for one host directory.\n type walFileState struct {\n \tf *os.File\n+\tw *bufio.Writer\n }\n \n // WALStaging starts a background goroutine that receives WALMessage items\n@@ -125,15 +126,16 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tdefer func() {\n \t\t\tfor _, ws := range hostFiles {\n \t\t\t\tif ws.f != nil {\n+\t\t\t\t\tws.w.Flush()\n \t\t\t\t\tws.f.Close()\n \t\t\t\t}\n \t\t\t}\n \t\t}()\n \n-\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n+\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n \t\t\tws, ok := hostFiles[hostDir]\n \t\t\tif ok {\n-\t\t\t\treturn ws.f\n+\t\t\t\treturn ws\n \t\t\t}\n \n \t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n@@ -148,29 +150,32 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\treturn nil\n \t\t\t}\n \n+\t\t\tw := bufio.NewWriter(f)\n+\n \t\t\t// Write file header magic if file is new (empty).\n \t\t\tinfo, err := f.Stat()\n \t\t\tif err == nil && info.Size() == 0 {\n \t\t\t\tvar hdr [4]byte\n \t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n-\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n+\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n \t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n \t\t\t\t\tf.Close()\n \t\t\t\t\treturn nil\n \t\t\t\t}\n \t\t\t}\n \n-\t\t\thostFiles[hostDir] = &walFileState{f: f}\n-\t\t\treturn f\n+\t\t\tws = &walFileState{f: f, w: w}\n+\t\t\thostFiles[hostDir] = ws\n+\t\t\treturn ws\n \t\t}\n \n \t\tprocessMsg := func(msg *WALMessage) {\n \t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n-\t\t\tf := getOrOpenWAL(hostDir)\n-\t\t\tif f == nil {\n+\t\t\tws := getOrOpenWAL(hostDir)\n+\t\t\tif ws == nil {\n \t\t\t\treturn\n \t\t\t}\n-\t\t\tif err := writeWALRecord(f, msg); err != nil {\n+\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n \t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n \t\t\t}\n \t\t}\n@@ -178,6 +183,7 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tprocessRotate := func(req walRotateReq) {\n \t\t\tws, ok := hostFiles[req.hostDir]\n \t\t\tif ok && ws.f != nil {\n+\t\t\t\tws.w.Flush()\n \t\t\t\tws.f.Close()\n \t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n \t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n@@ -199,6 +205,12 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\tcase req := <-walRotateCh:\n \t\t\t\t\tprocessRotate(req)\n \t\t\t\tdefault:\n+\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n+\t\t\t\t\tfor _, ws := range hostFiles {\n+\t\t\t\t\t\tif ws.f != nil {\n+\t\t\t\t\t\t\tws.w.Flush()\n+\t\t\t\t\t\t}\n+\t\t\t\t\t}\n \t\t\t\t\treturn\n \t\t\t\t}\n \t\t\t}\n@@ -282,9 +294,9 @@ func buildWALPayload(msg *WALMessage) []byte {\n \treturn buf\n }\n \n-// writeWALRecord appends a binary WAL record to the file.\n+// writeWALRecord appends a binary WAL record to the writer.\n // Format: [4B magic][4B payload_len][payload][4B CRC32]\n-func writeWALRecord(f *os.File, msg *WALMessage) error {\n+func writeWALRecord(w io.Writer, msg *WALMessage) error {\n \tpayload := buildWALPayload(msg)\n \tcrc := crc32.ChecksumIEEE(payload)\n \n@@ -304,7 +316,7 @@ func writeWALRecord(f *os.File, msg *WALMessage) error {\n \tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n \trecord = append(record, crcBytes[:]...)\n \n-\t_, err := f.Write(record)\n+\t_, err := w.Write(record)\n \treturn err\n }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5bde0806-d34f-4d73-9a99-22bec022bd26","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"7e6075b8-3685-4bf2-a95b-bd56a257dd18","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GQSPVvhoNG1oXVBgRrM6cR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Sy2Rt4nGvvckXTGgdhDcUR","name":"Bash","input":{"command":"git log --oneline -5","description":"Show recent commits"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":282,"cache_read_input_tokens":35313,"cache_creation":{"ephemeral_5m_input_tokens":282,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjV8DJdwUbYZP6SrEMH","type":"assistant","uuid":"71cf4c03-a2e2-4188-9611-978de18e16a6","timestamp":"2026-03-13T08:05:17.003Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"71cf4c03-a2e2-4188-9611-978de18e16a6","isSidechain":false,"promptId":"99e4087b-ecde-4d72-a0fa-e2b512929d27","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Sy2Rt4nGvvckXTGgdhDcUR","type":"tool_result","content":"a4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query","is_error":false}]},"uuid":"16e10423-16e7-4f89-9255-d72422b304b3","timestamp":"2026-03-13T08:05:17.048Z","toolUseResult":{"stdout":"a4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"71cf4c03-a2e2-4188-9611-978de18e16a6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"16e10423-16e7-4f89-9255-d72422b304b3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017sXK3jU6B82BR1ri8wmfgH","type":"message","role":"assistant","content":[{"type":"text","text":"The diff shows changes from both our work and pre-existing unstaged changes (config.go has extra fields, other files are modified). I'll only commit the two files we changed."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2667,"cache_read_input_tokens":35595,"cache_creation":{"ephemeral_5m_input_tokens":2667,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjVWvJ8TqGSRXxJMv4z","type":"assistant","uuid":"9d8bda7f-083a-4d84-9698-5c7dbf81b62f","timestamp":"2026-03-13T08:05:20.702Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"9d8bda7f-083a-4d84-9698-5c7dbf81b62f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017sXK3jU6B82BR1ri8wmfgH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YUKNqdsvYK3YLckwVh9Db2","name":"Bash","input":{"command":"git add pkg/metricstore/walCheckpoint.go pkg/metricstore/config.go && git commit -m \"$(cat <<'EOF'\nAdd buffered I/O to WAL writes and fix MemoryCap comment\n\nWAL writes now go through bufio.Writer instead of raw syscalls per record,\nreducing I/O overhead. Buffers are flushed on rotate, drain, and shutdown.\nFixed misleading MemoryCap comment (\"Max bytes\" → \"Max memory in GB\").\n\nCo-Authored-By: Claude Opus 4.6 \nEOF\n)\" && git status","description":"Stage and commit the two modified files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2667,"cache_read_input_tokens":35595,"output_tokens":261,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2667},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjVWvJ8TqGSRXxJMv4z","type":"assistant","uuid":"14ddefe9-8956-4b86-871d-834377c0a67a","timestamp":"2026-03-13T08:05:24.336Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"14ddefe9-8956-4b86-871d-834377c0a67a","isSidechain":false,"promptId":"99e4087b-ecde-4d72-a0fa-e2b512929d27","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YUKNqdsvYK3YLckwVh9Db2","type":"tool_result","content":"[hotfix b214e175] Add buffered I/O to WAL writes and fix MemoryCap comment\n 2 files changed, 33 insertions(+), 20 deletions(-)\nOn branch hotfix\nYour branch is ahead of 'origin/hotfix' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"6d16ed3e-43d7-4902-8f35-9196d4f1ecd0","timestamp":"2026-03-13T08:05:27.886Z","toolUseResult":{"stdout":"[hotfix b214e175] Add buffered I/O to WAL writes and fix MemoryCap comment\n 2 files changed, 33 insertions(+), 20 deletions(-)\nOn branch hotfix\nYour branch is ahead of 'origin/hotfix' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"14ddefe9-8956-4b86-871d-834377c0a67a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"6d16ed3e-43d7-4902-8f35-9196d4f1ecd0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019ETUS5AteXE2CAhxS4NoP9","type":"message","role":"assistant","content":[{"type":"text","text":"Committed as `b214e175`. The other 7 modified files remain unstaged as before."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":525,"cache_read_input_tokens":38262,"output_tokens":25,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":525},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjWJnpaZoYrinafAys8","type":"assistant","uuid":"46ae0a63-c27a-4a2c-83c9-ecdf215a2ad4","timestamp":"2026-03-13T08:05:30.411Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"46ae0a63-c27a-4a2c-83c9-ecdf215a2ad4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"6543c234-1588-4ff0-9357-f0d4bfca1c90","toolUseID":"6543c234-1588-4ff0-9357-f0d4bfca1c90","timestamp":"2026-03-13T08:05:30.425Z","uuid":"7deed2dd-740b-417c-a2a0-9d1ab12a20d7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} diff --git a/b3/8dc35e5334/0/metadata.json b/b3/8dc35e5334/0/metadata.json new file mode 100644 index 00000000..a40e4aa7 --- /dev/null +++ b/b3/8dc35e5334/0/metadata.json @@ -0,0 +1,34 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "b38dc35e5334", + "session_id": "26ab707c-a69c-4886-8226-dfb24388d9b4", + "strategy": "manual-commit", + "created_at": "2026-03-13T08:05:27.671004Z", + "branch": "hotfix", + "checkpoints_count": 1, + "files_touched": [ + "pkg/metricstore/config.go", + "pkg/metricstore/walCheckpoint.go" + ], + "agent": "Claude Code", + "turn_id": "cdfce90402f4", + "token_usage": { + "input_tokens": 18, + "cache_creation_tokens": 28702, + "cache_read_tokens": 429229, + "output_tokens": 4813, + "api_call_count": 14 + }, + "session_metrics": { + "turn_count": 1 + }, + "initial_attribution": { + "calculated_at": "2026-03-13T08:05:27.560316Z", + "agent_lines": 33, + "human_added": 0, + "human_modified": 0, + "human_removed": 0, + "total_committed": 33, + "agent_percentage": 100 + } +} diff --git a/b3/8dc35e5334/0/prompt.txt b/b3/8dc35e5334/0/prompt.txt new file mode 100644 index 00000000..8dd3eed1 --- /dev/null +++ b/b3/8dc35e5334/0/prompt.txt @@ -0,0 +1 @@ +commit the changes \ No newline at end of file diff --git a/b3/8dc35e5334/1/content_hash.txt b/b3/8dc35e5334/1/content_hash.txt new file mode 100644 index 00000000..4a5ff292 --- /dev/null +++ b/b3/8dc35e5334/1/content_hash.txt @@ -0,0 +1 @@ +sha256:233546e675fe3dad92455d912c29157e9ece1798355f14b7ecd8a262e6eb5017 \ No newline at end of file diff --git a/b3/8dc35e5334/1/full.jsonl b/b3/8dc35e5334/1/full.jsonl new file mode 100644 index 00000000..e3bd92d2 --- /dev/null +++ b/b3/8dc35e5334/1/full.jsonl @@ -0,0 +1,138 @@ +{"type":"file-history-snapshot","messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","snapshot":{"messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","trackedFileBackups":{},"timestamp":"2026-03-13T07:54:47.759Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"69c1b3f7-5523-4735-a213-9d0060508dbb","toolUseID":"69c1b3f7-5523-4735-a213-9d0060508dbb","timestamp":"2026-03-13T07:54:47.706Z","uuid":"b7a84e01-eae2-47f4-8f11-a4e2d0bc7e85","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b7a84e01-eae2-47f4-8f11-a4e2d0bc7e85","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/39705f8c-1691-4d60-b0aa-39f588ed9dcf.jsonl"},"uuid":"86090d3d-a25e-47c4-9400-11523820e0a0","timestamp":"2026-03-13T07:54:44.959Z","planContent":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n 7→//\n 8→// # Level Architecture\n 9→//\n 10→// The Level type forms a tree structure where each node represents a level in the\n 11→// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n 12→// nodes for memory domains and accelerators.\n 13→//\n 14→// Structure:\n 15→//\n 16→//\tRoot Level (cluster=\"emmy\")\n 17→//\t├─ Level (host=\"node001\")\n 18→//\t│ ├─ Level (socket=\"0\")\n 19→//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n 20→//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n 21→//\t│ └─ Level (socket=\"1\")\n 22→//\t│ └─ ...\n 23→//\t└─ Level (host=\"node002\")\n 24→//\t └─ ...\n 25→//\n 26→// Each Level can:\n 27→// - Hold data (metrics slice of buffer pointers)\n 28→// - Have child nodes (children map[string]*Level)\n 29→// - Both simultaneously (inner nodes can store aggregated metrics)\n 30→//\n 31→// # Selector Paths\n 32→//\n 33→// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n 34→// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n 35→//\n 36→// # Concurrency\n 37→//\n 38→// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n 39→// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n 40→// prevents races during level creation.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"sync\"\n 45→\t\"time\"\n 46→\t\"unsafe\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 50→)\n 51→\n 52→// Level represents a node in the hierarchical metric storage tree.\n 53→//\n 54→// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n 55→// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n 56→// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n 57→//\n 58→// Fields:\n 59→// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n 60→// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n 61→// - lock: RWMutex for concurrent access (read-heavy, write-rare)\n 62→type Level struct {\n 63→\tchildren map[string]*Level\n 64→\tmetrics []*buffer\n 65→\tlock sync.RWMutex\n 66→}\n 67→\n 68→// findLevelOrCreate navigates to or creates the level specified by selector.\n 69→//\n 70→// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n 71→// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n 72→// re-check after acquiring Lock to handle races.\n 73→//\n 74→// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n 75→// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n 76→//\n 77→// Parameters:\n 78→// - selector: Hierarchical path (consumed recursively, decreasing depth)\n 79→// - nMetrics: Number of metric slots to allocate in new levels\n 80→//\n 81→// Returns:\n 82→// - *Level: The target level (existing or newly created)\n 83→//\n 84→// Note: sync.Map may improve performance for high-concurrency writes, but current\n 85→// approach suffices for read-heavy workload.\n 86→func (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n 87→\tif len(selector) == 0 {\n 88→\t\treturn l\n 89→\t}\n 90→\n 91→\t// Allow concurrent reads:\n 92→\tl.lock.RLock()\n 93→\tvar child *Level\n 94→\tvar ok bool\n 95→\tif l.children == nil {\n 96→\t\t// Children map needs to be created...\n 97→\t\tl.lock.RUnlock()\n 98→\t} else {\n 99→\t\tchild, ok = l.children[selector[0]]\n 100→\t\tl.lock.RUnlock()\n 101→\t\tif ok {\n 102→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 103→\t\t}\n 104→\t}\n 105→\n 106→\t// The level does not exist, take write lock for unique access:\n 107→\tl.lock.Lock()\n 108→\t// While this thread waited for the write lock, another thread\n 109→\t// could have created the child node.\n 110→\tif l.children != nil {\n 111→\t\tchild, ok = l.children[selector[0]]\n 112→\t\tif ok {\n 113→\t\t\tl.lock.Unlock()\n 114→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 115→\t\t}\n 116→\t}\n 117→\n 118→\tchild = &Level{\n 119→\t\tmetrics: make([]*buffer, nMetrics),\n 120→\t\tchildren: nil,\n 121→\t}\n 122→\n 123→\tif l.children != nil {\n 124→\t\tl.children[selector[0]] = child\n 125→\t} else {\n 126→\t\tl.children = map[string]*Level{selector[0]: child}\n 127→\t}\n 128→\tl.lock.Unlock()\n 129→\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 130→}\n 131→\n 132→// collectPaths gathers all selector paths at the specified depth in the tree.\n 133→//\n 134→// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n 135→// Each path is a selector that can be used with findLevel() or findBuffers().\n 136→//\n 137→// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n 138→// unintended mutations.\n 139→//\n 140→// Parameters:\n 141→// - currentDepth: Depth of current level (0 = root)\n 142→// - targetDepth: Depth to collect paths from\n 143→// - currentPath: Path accumulated so far\n 144→// - results: Output slice (appended to)\n 145→//\n 146→// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n 147→// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\n 148→func (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n 149→\tl.lock.RLock()\n 150→\tdefer l.lock.RUnlock()\n 151→\n 152→\tfor key, child := range l.children {\n 153→\t\tif child == nil {\n 154→\t\t\tcontinue\n 155→\t\t}\n 156→\n 157→\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n 158→\t\tnewPath := make([]string, len(currentPath))\n 159→\t\tcopy(newPath, currentPath)\n 160→\t\tnewPath = append(newPath, key)\n 161→\n 162→\t\t// Check depth, and just return if depth reached\n 163→\t\tif currentDepth+1 == targetDepth {\n 164→\t\t\t*results = append(*results, newPath)\n 165→\t\t} else {\n 166→\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n 167→\t\t}\n 168→\t}\n 169→}\n 170→\n 171→// free removes buffers older than the retention threshold from the entire subtree.\n 172→//\n 173→// Recursively frees buffers in this level's metrics and all child levels. Buffers\n 174→// with standard capacity (BufferCap) are returned to the pool. Called by the\n 175→// retention worker to enforce retention policies.\n 176→//\n 177→// Parameters:\n 178→// - t: Retention threshold timestamp (Unix seconds)\n 179→//\n 180→// Returns:\n 181→// - int: Total number of buffers freed in this subtree\n 182→// - error: Non-nil on failure (propagated from children)\n 183→func (l *Level) free(t int64) (int, error) {\n 184→\tl.lock.Lock()\n 185→\tdefer l.lock.Unlock()\n 186→\n 187→\tn := 0\n 188→\tfor i, b := range l.metrics {\n 189→\t\tif b != nil {\n 190→\t\t\tdelme, m := b.free(t)\n 191→\t\t\tn += m\n 192→\t\t\tif delme {\n 193→\t\t\t\tif cap(b.data) != BufferCap {\n 194→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 195→\t\t\t\t}\n 196→\t\t\t\tb.lastUsed = time.Now().Unix()\n 197→\t\t\t\tbufferPool.Put(b)\n 198→\t\t\t\tl.metrics[i] = nil\n 199→\t\t\t}\n 200→\t\t}\n 201→\t}\n 202→\n 203→\tfor key, child := range l.children {\n 204→\t\tm, err := child.free(t)\n 205→\t\tn += m\n 206→\t\tif err != nil {\n 207→\t\t\treturn n, err\n 208→\t\t}\n 209→\t\tif child.isEmpty() {\n 210→\t\t\tdelete(l.children, key)\n 211→\t\t}\n 212→\t}\n 213→\n 214→\treturn n, nil\n 215→}\n 216→\n 217→// isEmpty returns true if this level has no metrics and no children.\n 218→func (l *Level) isEmpty() bool {\n 219→\tl.lock.RLock()\n 220→\tdefer l.lock.RUnlock()\n 221→\n 222→\tfor _, b := range l.metrics {\n 223→\t\tif b != nil {\n 224→\t\t\treturn false\n 225→\t\t}\n 226→\t}\n 227→\treturn len(l.children) == 0\n 228→}\n 229→\n 230→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 231→//\n 232→// Unlike free(), which removes based on time threshold, this unconditionally removes\n 233→// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n 234→// exceeded and time-based retention is insufficient.\n 235→//\n 236→// Recursively processes current level's metrics and all child levels.\n 237→//\n 238→// Returns:\n 239→// - int: Total number of buffers freed in this subtree\n 240→// - error: Non-nil on failure (propagated from children)\n 241→func (l *Level) forceFree() (int, error) {\n 242→\tl.lock.Lock()\n 243→\tdefer l.lock.Unlock()\n 244→\n 245→\tn := 0\n 246→\n 247→\t// Iterate over metrics in the current level\n 248→\tfor i, b := range l.metrics {\n 249→\t\tif b != nil {\n 250→\t\t\t// Attempt to free the oldest buffer in this chain\n 251→\t\t\tdelme, freedCount := b.forceFreeOldest()\n 252→\t\t\tn += freedCount\n 253→\n 254→\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n 255→\t\t\t// and needs to be removed from the slice.\n 256→\t\t\tif delme {\n 257→\t\t\t\tb.next = nil\n 258→\t\t\t\tb.prev = nil\n 259→\t\t\t\tif cap(b.data) != BufferCap {\n 260→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 261→\t\t\t\t}\n 262→\t\t\t\tb.lastUsed = time.Now().Unix()\n 263→\t\t\t\tbufferPool.Put(b)\n 264→\t\t\t\tl.metrics[i] = nil\n 265→\t\t\t}\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Recursively traverse children\n 270→\tfor _, child := range l.children {\n 271→\t\tm, err := child.forceFree()\n 272→\t\tn += m\n 273→\t\tif err != nil {\n 274→\t\t\treturn n, err\n 275→\t\t}\n 276→\t}\n 277→\n 278→\treturn n, nil\n 279→}\n 280→\n 281→// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n 282→//\n 283→// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n 284→// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n 285→// memory cap limits.\n 286→//\n 287→// Returns:\n 288→// - int64: Total bytes used by buffer data in this subtree\n 289→func (l *Level) sizeInBytes() int64 {\n 290→\tl.lock.RLock()\n 291→\tdefer l.lock.RUnlock()\n 292→\tsize := int64(0)\n 293→\n 294→\tfor _, b := range l.metrics {\n 295→\t\tif b != nil {\n 296→\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n 297→\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n 298→\t\t}\n 299→\t}\n 300→\n 301→\tfor _, child := range l.children {\n 302→\t\tsize += child.sizeInBytes()\n 303→\t}\n 304→\n 305→\treturn size\n 306→}\n 307→\n 308→// findLevel navigates to the level specified by selector, returning nil if not found.\n 309→//\n 310→// Read-only variant of findLevelOrCreate. Does not create missing levels.\n 311→// Recursively descends the tree following the selector path.\n 312→//\n 313→// Parameters:\n 314→// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n 315→//\n 316→// Returns:\n 317→// - *Level: The target level, or nil if any component in the path does not exist\n 318→func (l *Level) findLevel(selector []string) *Level {\n 319→\tif len(selector) == 0 {\n 320→\t\treturn l\n 321→\t}\n 322→\n 323→\tl.lock.RLock()\n 324→\tdefer l.lock.RUnlock()\n 325→\n 326→\tlvl := l.children[selector[0]]\n 327→\tif lvl == nil {\n 328→\t\treturn nil\n 329→\t}\n 330→\n 331→\treturn lvl.findLevel(selector[1:])\n 332→}\n 333→\n 334→// findBuffers invokes callback on all buffers matching the selector pattern.\n 335→//\n 336→// Supports flexible selector patterns (from cc-lib/util.Selector):\n 337→// - Exact match: Selector element with String set (e.g., \"node001\")\n 338→// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n 339→// - Wildcard: Selector element with Any=true (matches all children)\n 340→//\n 341→// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n 342→// all descendant buffers at the same offset (used for aggregation queries).\n 343→//\n 344→// Parameters:\n 345→// - selector: Pattern to match (consumed recursively)\n 346→// - offset: Metric index in metrics slice (from MetricConfig.offset)\n 347→// - f: Callback invoked on each matching buffer\n 348→//\n 349→// Returns:\n 350→// - error: First error returned by callback, or nil if all succeeded\n 351→//\n 352→// Example:\n 353→//\n 354→//\t// Find all cpu0 buffers across all hosts:\n 355→//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\n 356→func (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n 357→\tl.lock.RLock()\n 358→\tdefer l.lock.RUnlock()\n 359→\n 360→\tif len(selector) == 0 {\n 361→\t\tb := l.metrics[offset]\n 362→\t\tif b != nil {\n 363→\t\t\treturn f(b)\n 364→\t\t}\n 365→\n 366→\t\tfor _, lvl := range l.children {\n 367→\t\t\terr := lvl.findBuffers(nil, offset, f)\n 368→\t\t\tif err != nil {\n 369→\t\t\t\treturn err\n 370→\t\t\t}\n 371→\t\t}\n 372→\t\treturn nil\n 373→\t}\n 374→\n 375→\tsel := selector[0]\n 376→\tif len(sel.String) != 0 && l.children != nil {\n 377→\t\tlvl, ok := l.children[sel.String]\n 378→\t\tif ok {\n 379→\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 380→\t\t\tif err != nil {\n 381→\t\t\t\treturn err\n 382→\t\t\t}\n 383→\t\t}\n 384→\t\treturn nil\n 385→\t}\n 386→\n 387→\tif sel.Group != nil && l.children != nil {\n 388→\t\tfor _, key := range sel.Group {\n 389→\t\t\tlvl, ok := l.children[key]\n 390→\t\t\tif ok {\n 391→\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 392→\t\t\t\tif err != nil {\n 393→\t\t\t\t\treturn err\n 394→\t\t\t\t}\n 395→\t\t\t}\n 396→\t\t}\n 397→\t\treturn nil\n 398→\t}\n 399→\n 400→\tif sel.Any && l.children != nil {\n 401→\t\tfor _, lvl := range l.children {\n 402→\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n 403→\t\t\t\treturn err\n 404→\t\t\t}\n 405→\t\t}\n 406→\t\treturn nil\n 407→\t}\n 408→\n 409→\treturn nil\n 410→}\n 411→"}]},"uuid":"bd6b2bbc-79d7-4cc5-8e26-6efa49f20c04","timestamp":"2026-03-13T07:54:51.608Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","numLines":411,"startLine":1,"totalLines":411}},"sourceToolAssistantUUID":"438d1a9d-9d9b-41f2-a52b-8e49913f8516","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"bd6b2bbc-79d7-4cc5-8e26-6efa49f20c04","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11431},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","timestamp":"2026-03-13T07:54:52.045Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","toolUseID":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","timestamp":"2026-03-13T07:54:52.049Z","uuid":"78ae63cc-140c-42d4-9c19-19e8fa2f20f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"errors\"\n 10→\t\"math\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 14→)\n 15→\n 16→type Stats struct {\n 17→\tSamples int\n 18→\tAvg schema.Float\n 19→\tMin schema.Float\n 20→\tMax schema.Float\n 21→}\n 22→\n 23→func (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n 24→\tif from < b.start {\n 25→\t\tif b.prev != nil {\n 26→\t\t\treturn b.prev.stats(from, to)\n 27→\t\t}\n 28→\t\tfrom = b.start\n 29→\t}\n 30→\n 31→\t// TODO: Check if b.closed and if so and the full buffer is queried,\n 32→\t// use b.statistics instead of iterating over the buffer.\n 33→\n 34→\tsamples := 0\n 35→\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n 36→\n 37→\tvar t int64\n 38→\tfor t = from; t < to; t += b.frequency {\n 39→\t\tidx := int((t - b.start) / b.frequency)\n 40→\t\tif idx >= cap(b.data) {\n 41→\t\t\tb = b.next\n 42→\t\t\tif b == nil {\n 43→\t\t\t\tbreak\n 44→\t\t\t}\n 45→\t\t\tidx = 0\n 46→\t\t}\n 47→\n 48→\t\tif t < b.start || idx >= len(b.data) {\n 49→\t\t\tcontinue\n 50→\t\t}\n 51→\n 52→\t\txf := float64(b.data[idx])\n 53→\t\tif math.IsNaN(xf) {\n 54→\t\t\tcontinue\n 55→\t\t}\n 56→\n 57→\t\tsamples += 1\n 58→\t\tsum += xf\n 59→\t\tmin = math.Min(min, xf)\n 60→\t\tmax = math.Max(max, xf)\n 61→\t}\n 62→\n 63→\treturn Stats{\n 64→\t\tSamples: samples,\n 65→\t\tAvg: schema.Float(sum) / schema.Float(samples),\n 66→\t\tMin: schema.Float(min),\n 67→\t\tMax: schema.Float(max),\n 68→\t}, from, t, nil\n 69→}\n 70→\n 71→// Returns statistics for the requested metric on the selected node/level.\n 72→// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n 73→// If `Stats.Samples` is zero, the statistics should not be considered as valid.\n 74→func (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n 75→\tif from > to {\n 76→\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n 77→\t}\n 78→\n 79→\tminfo, ok := m.Metrics[metric]\n 80→\tif !ok {\n 81→\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n 82→\t}\n 83→\n 84→\tn, samples := 0, 0\n 85→\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n 86→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 87→\t\tstats, cfrom, cto, err := b.stats(from, to)\n 88→\t\tif err != nil {\n 89→\t\t\treturn err\n 90→\t\t}\n 91→\n 92→\t\tif n == 0 {\n 93→\t\t\tfrom, to = cfrom, cto\n 94→\t\t} else if from != cfrom || to != cto {\n 95→\t\t\treturn ErrDataDoesNotAlign\n 96→\t\t}\n 97→\n 98→\t\tsamples += stats.Samples\n 99→\t\tavg += stats.Avg\n 100→\t\tmin = math.Min(min, float64(stats.Min))\n 101→\t\tmax = math.Max(max, float64(stats.Max))\n 102→\t\tn += 1\n 103→\t\treturn nil\n 104→\t})\n 105→\tif err != nil {\n 106→\t\treturn nil, 0, 0, err\n 107→\t}\n 108→\n 109→\tif n == 0 {\n 110→\t\treturn nil, 0, 0, ErrNoData\n 111→\t}\n 112→\n 113→\tif minfo.Aggregation == AvgAggregation {\n 114→\t\tavg /= schema.Float(n)\n 115→\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n 116→\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n 117→\t}\n 118→\n 119→\treturn &Stats{\n 120→\t\tSamples: samples,\n 121→\t\tAvg: avg,\n 122→\t\tMin: schema.Float(min),\n 123→\t\tMax: schema.Float(max),\n 124→\t}, from, to, nil\n 125→}\n 126→"}]},"uuid":"dba06c47-0f19-480c-ac86-a5bb2722cdec","timestamp":"2026-03-13T07:54:52.049Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype Stats struct {\n\tSamples int\n\tAvg schema.Float\n\tMin schema.Float\n\tMax schema.Float\n}\n\nfunc (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n\tif from < b.start {\n\t\tif b.prev != nil {\n\t\t\treturn b.prev.stats(from, to)\n\t\t}\n\t\tfrom = b.start\n\t}\n\n\t// TODO: Check if b.closed and if so and the full buffer is queried,\n\t// use b.statistics instead of iterating over the buffer.\n\n\tsamples := 0\n\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n\n\tvar t int64\n\tfor t = from; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = 0\n\t\t}\n\n\t\tif t < b.start || idx >= len(b.data) {\n\t\t\tcontinue\n\t\t}\n\n\t\txf := float64(b.data[idx])\n\t\tif math.IsNaN(xf) {\n\t\t\tcontinue\n\t\t}\n\n\t\tsamples += 1\n\t\tsum += xf\n\t\tmin = math.Min(min, xf)\n\t\tmax = math.Max(max, xf)\n\t}\n\n\treturn Stats{\n\t\tSamples: samples,\n\t\tAvg: schema.Float(sum) / schema.Float(samples),\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, t, nil\n}\n\n// Returns statistics for the requested metric on the selected node/level.\n// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n// If `Stats.Samples` is zero, the statistics should not be considered as valid.\nfunc (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n\t}\n\n\tn, samples := 0, 0\n\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tstats, cfrom, cto, err := b.stats(from, to)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto {\n\t\t\treturn ErrDataDoesNotAlign\n\t\t}\n\n\t\tsamples += stats.Samples\n\t\tavg += stats.Avg\n\t\tmin = math.Min(min, float64(stats.Min))\n\t\tmax = math.Max(max, float64(stats.Max))\n\t\tn += 1\n\t\treturn nil\n\t})\n\tif err != nil {\n\t\treturn nil, 0, 0, err\n\t}\n\n\tif n == 0 {\n\t\treturn nil, 0, 0, ErrNoData\n\t}\n\n\tif minfo.Aggregation == AvgAggregation {\n\t\tavg /= schema.Float(n)\n\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n\t}\n\n\treturn &Stats{\n\t\tSamples: samples,\n\t\tAvg: avg,\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, to, nil\n}\n","numLines":126,"startLine":1,"totalLines":126}},"sourceToolAssistantUUID":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides an efficient in-memory time-series metric storage system\n 7→// with support for hierarchical data organization, checkpointing, and archiving.\n 8→//\n 9→// The package organizes metrics in a tree structure (cluster → host → component) and\n 10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n 11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n 12→// and enforcing retention policies.\n 13→//\n 14→// Key features:\n 15→// - In-memory metric storage with configurable retention\n 16→// - Hierarchical data organization (selectors)\n 17→// - Concurrent checkpoint/archive workers\n 18→// - Support for sum and average aggregation\n 19→// - NATS integration for metric ingestion\n 20→package metricstore\n 21→\n 22→import (\n 23→\t\"bytes\"\n 24→\t\"context\"\n 25→\t\"encoding/json\"\n 26→\t\"errors\"\n 27→\t\"fmt\"\n 28→\t\"runtime\"\n 29→\t\"runtime/debug\"\n 30→\t\"slices\"\n 31→\t\"sync\"\n 32→\t\"time\"\n 33→\n 34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 39→)\n 40→\n 41→// GlobalState holds the global state for the metric store with thread-safe access.\n 42→type GlobalState struct {\n 43→\tmu sync.RWMutex\n 44→\tlastRetentionTime int64\n 45→\tselectorsExcluded bool\n 46→}\n 47→\n 48→var (\n 49→\tsingleton sync.Once\n 50→\tmsInstance *MemoryStore\n 51→\t// shutdownFunc stores the context cancellation function created in Init\n 52→\t// and is called during Shutdown to cancel all background goroutines\n 53→\tshutdownFunc context.CancelFunc\n 54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n 55→\t// Create a global instance\n 56→\tstate = &GlobalState{}\n 57→)\n 58→\n 59→// NodeProvider provides information about nodes currently in use by running jobs.\n 60→//\n 61→// This interface allows metricstore to query job information without directly\n 62→// depending on the repository package, breaking the import cycle.\n 63→//\n 64→// Implementations should return nodes that are actively processing jobs started\n 65→// before the given timestamp. These nodes will be excluded from retention-based\n 66→// garbage collection to prevent data loss for jobs that are still running or\n 67→// recently completed.\n 68→type NodeProvider interface {\n 69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n 70→\t// that are currently in use by jobs that started before the given timestamp.\n 71→\t//\n 72→\t// Parameters:\n 73→\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n 74→\t//\n 75→\t// Returns:\n 76→\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n 77→\t// - Error if the query fails\n 78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n 79→}\n 80→\n 81→// Metric represents a single metric data point to be written to the store.\n 82→type Metric struct {\n 83→\tName string\n 84→\tValue schema.Float\n 85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n 86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n 87→\tMetricConfig MetricConfig\n 88→}\n 89→\n 90→// MemoryStore is the main in-memory time-series metric storage implementation.\n 91→//\n 92→// It organizes metrics in a hierarchical tree structure where each level represents\n 93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n 94→// store multiple metrics as time-series buffers.\n 95→//\n 96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n 97→// All public methods are safe for concurrent use.\n 98→type MemoryStore struct {\n 99→\tMetrics map[string]MetricConfig\n 100→\troot Level\n 101→\tnodeProvider NodeProvider\n 102→}\n 103→\n 104→// Init initializes the metric store from configuration and starts background workers.\n 105→//\n 106→// This function must be called exactly once before any other metricstore operations.\n 107→// It performs the following initialization steps:\n 108→// 1. Validates and decodes the metric store configuration\n 109→// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n 110→// 3. Loads metric configurations from all registered clusters\n 111→// 4. Restores checkpoints within the retention window\n 112→// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n 113→// 6. Optionally subscribes to NATS for real-time metric ingestion\n 114→//\n 115→// Parameters:\n 116→// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n 117→// - wg: WaitGroup that will be incremented for each background goroutine started\n 118→//\n 119→// The function will call cclog.Fatal on critical errors during initialization.\n 120→// Use Shutdown() to cleanly stop all background workers started by Init().\n 121→//\n 122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n 123→// receiving termination signals to ensure checkpoint data is persisted.\n 124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n 125→\tstartupTime := time.Now()\n 126→\n 127→\tif rawConfig != nil {\n 128→\t\tconfig.Validate(configSchema, rawConfig)\n 129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 130→\t\tdec.DisallowUnknownFields()\n 131→\t\tif err := dec.Decode(&Keys); err != nil {\n 132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n 133→\t\t}\n 134→\t}\n 135→\n 136→\t// Set NumWorkers from config or use default\n 137→\tif Keys.NumWorkers <= 0 {\n 138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n 139→\t}\n 140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n 141→\n 142→\t// Pass the config.MetricStoreKeys\n 143→\tInitMetrics(metrics)\n 144→\n 145→\tms := GetMemoryStore()\n 146→\n 147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 148→\tif err != nil {\n 149→\t\tcclog.Fatal(err)\n 150→\t}\n 151→\n 152→\trestoreFrom := startupTime.Add(-d)\n 153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n 154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n 155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n 156→\tif err != nil {\n 157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n 158→\t} else {\n 159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n 160→\t}\n 161→\n 162→\t// Try to use less memory by forcing a GC run here and then\n 163→\t// lowering the target percentage. The default of 100 means\n 164→\t// that only once the ratio of new allocations execeds the\n 165→\t// previously active heap, a GC is triggered.\n 166→\t// Forcing a GC here will set the \"previously active heap\"\n 167→\t// to a minumum.\n 168→\t// runtime.GC()\n 169→\n 170→\tctx, shutdown := context.WithCancel(context.Background())\n 171→\n 172→\tRetention(wg, ctx)\n 173→\tCheckpointing(wg, ctx)\n 174→\tCleanUp(wg, ctx)\n 175→\tWALStaging(wg, ctx)\n 176→\tMemoryUsageTracker(wg, ctx)\n 177→\n 178→\t// Note: Signal handling has been removed from this function.\n 179→\t// The caller is responsible for handling shutdown signals and calling\n 180→\t// the shutdown() function when appropriate.\n 181→\t// Store the shutdown function for later use by Shutdown()\n 182→\tshutdownFuncMu.Lock()\n 183→\tshutdownFunc = shutdown\n 184→\tshutdownFuncMu.Unlock()\n 185→\n 186→\tif Keys.Subscriptions != nil {\n 187→\t\terr = ReceiveNats(ms, 1, ctx)\n 188→\t\tif err != nil {\n 189→\t\t\tcclog.Fatal(err)\n 190→\t\t}\n 191→\t}\n 192→}\n 193→\n 194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n 195→//\n 196→// This function must be called before GetMemoryStore() and can only be called once due to\n 197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n 198→//\n 199→// Parameters:\n 200→// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n 201→//\n 202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n 203→//\n 204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n 205→func InitMetrics(metrics map[string]MetricConfig) {\n 206→\tsingleton.Do(func() {\n 207→\t\toffset := 0\n 208→\t\tfor key, cfg := range metrics {\n 209→\t\t\tif cfg.Frequency == 0 {\n 210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n 211→\t\t\t}\n 212→\n 213→\t\t\tmetrics[key] = MetricConfig{\n 214→\t\t\t\tFrequency: cfg.Frequency,\n 215→\t\t\t\tAggregation: cfg.Aggregation,\n 216→\t\t\t\toffset: offset,\n 217→\t\t\t}\n 218→\t\t\toffset += 1\n 219→\t\t}\n 220→\n 221→\t\tmsInstance = &MemoryStore{\n 222→\t\t\troot: Level{\n 223→\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n 224→\t\t\t\tchildren: make(map[string]*Level),\n 225→\t\t\t},\n 226→\t\t\tMetrics: metrics,\n 227→\t\t}\n 228→\t})\n 229→}\n 230→\n 231→// GetMemoryStore returns the singleton MemoryStore instance.\n 232→//\n 233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n 234→//\n 235→// This function is safe for concurrent use after initialization.\n 236→func GetMemoryStore() *MemoryStore {\n 237→\tif msInstance == nil {\n 238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n 239→\t}\n 240→\n 241→\treturn msInstance\n 242→}\n 243→\n 244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n 245→\tif metric, ok := ms.Metrics[metricName]; ok {\n 246→\t\treturn metric.Frequency, nil\n 247→\t}\n 248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n 249→}\n 250→\n 251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n 252→// This must be called during initialization to provide job state information\n 253→// for selective buffer retention during Free operations.\n 254→// If not set, the Free function will fall back to freeing all buffers.\n 255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n 256→\tms.nodeProvider = provider\n 257→}\n 258→\n 259→// Shutdown performs a graceful shutdown of the metric store.\n 260→//\n 261→// This function cancels all background goroutines started by Init() and writes\n 262→// a final checkpoint to disk before returning. It should be called when the\n 263→// application receives a termination signal.\n 264→//\n 265→// The function will:\n 266→// 1. Cancel the context to stop all background workers\n 267→// 2. Close the WAL messages channel if using WAL format\n 268→// 3. Write a final checkpoint to preserve in-memory data\n 269→// 4. Log any errors encountered during shutdown\n 270→//\n 271→// Note: This function blocks until the final checkpoint is written.\n 272→func Shutdown() {\n 273→\tshutdownFuncMu.Lock()\n 274→\tdefer shutdownFuncMu.Unlock()\n 275→\tif shutdownFunc != nil {\n 276→\t\tshutdownFunc()\n 277→\t}\n 278→\n 279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 280→\t\tclose(WALMessages)\n 281→\t}\n 282→\n 283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n 284→\tvar files int\n 285→\tvar err error\n 286→\n 287→\tms := GetMemoryStore()\n 288→\n 289→\tlastCheckpointMu.Lock()\n 290→\tfrom := lastCheckpoint\n 291→\tlastCheckpointMu.Unlock()\n 292→\n 293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 294→\t\tvar hostDirs []string\n 295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 296→\t\tif err == nil {\n 297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n 298→\t\t}\n 299→\t} else {\n 300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 301→\t}\n 302→\n 303→\tif err != nil {\n 304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n 305→\t}\n 306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n 307→}\n 308→\n 309→// Retention starts a background goroutine that periodically frees old metric data.\n 310→//\n 311→// This worker runs at half the retention interval and calls Free() to remove buffers\n 312→// older than the configured retention time. It respects the NodeProvider to preserve\n 313→// data for nodes with active jobs.\n 314→//\n 315→// Parameters:\n 316→// - wg: WaitGroup to signal completion when context is cancelled\n 317→// - ctx: Context for cancellation signal\n 318→//\n 319→// The goroutine exits when ctx is cancelled.\n 320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n 321→\tms := GetMemoryStore()\n 322→\n 323→\twg.Go(func() {\n 324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 325→\t\tif err != nil {\n 326→\t\t\tcclog.Fatal(err)\n 327→\t\t}\n 328→\t\tif d <= 0 {\n 329→\t\t\treturn\n 330→\t\t}\n 331→\n 332→\t\ttickInterval := d / 2\n 333→\t\tif tickInterval <= 0 {\n 334→\t\t\treturn\n 335→\t\t}\n 336→\t\tticker := time.NewTicker(tickInterval)\n 337→\t\tdefer ticker.Stop()\n 338→\n 339→\t\tfor {\n 340→\t\t\tselect {\n 341→\t\t\tcase <-ctx.Done():\n 342→\t\t\t\treturn\n 343→\t\t\tcase <-ticker.C:\n 344→\t\t\t\tstate.mu.Lock()\n 345→\n 346→\t\t\t\tt := time.Now().Add(-d)\n 347→\n 348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n 349→\n 350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n 351→\n 352→\t\t\t\tfreed, err := Free(ms, t)\n 353→\t\t\t\tif err != nil {\n 354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n 355→\t\t\t\t} else {\n 356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n 357→\t\t\t\t}\n 358→\n 359→\t\t\t\tstate.mu.Unlock()\n 360→\n 361→\t\t\t\t// Clean up the buffer pool\n 362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n 363→\t\t\t}\n 364→\t\t}\n 365→\t})\n 366→}\n 367→\n 368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n 369→//\n 370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n 371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n 372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n 373→// performance issues.\n 374→//\n 375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n 376→// visibility into memory overhead from Go runtime structures and allocations.\n 377→//\n 378→// Parameters:\n 379→// - wg: WaitGroup to signal completion when context is cancelled\n 380→// - ctx: Context for cancellation signal\n 381→//\n 382→// The goroutine exits when ctx is cancelled.\n 383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n 384→\tms := GetMemoryStore()\n 385→\n 386→\twg.Go(func() {\n 387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n 388→\t\tfastInterval := 30 * time.Second\n 389→\n 390→\t\tif normalInterval <= 0 {\n 391→\t\t\treturn\n 392→\t\t}\n 393→\n 394→\t\tticker := time.NewTicker(normalInterval)\n 395→\t\tdefer ticker.Stop()\n 396→\t\tcurrentInterval := normalInterval\n 397→\n 398→\t\tfor {\n 399→\t\t\tselect {\n 400→\t\t\tcase <-ctx.Done():\n 401→\t\t\t\treturn\n 402→\t\t\tcase <-ticker.C:\n 403→\t\t\t\tvar mem runtime.MemStats\n 404→\t\t\t\truntime.ReadMemStats(&mem)\n 405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 408→\n 409→\t\t\t\tfreedExcluded := 0\n 410→\t\t\t\tfreedEmergency := 0\n 411→\t\t\t\tvar err error\n 412→\n 413→\t\t\t\tstate.mu.RLock()\n 414→\t\t\t\tlastRetention := state.lastRetentionTime\n 415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 416→\t\t\t\tstate.mu.RUnlock()\n 417→\n 418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 420→\t\t\t\t\tif err != nil {\n 421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 422→\t\t\t\t\t}\n 423→\n 424→\t\t\t\t\tif freedExcluded > 0 {\n 425→\t\t\t\t\t\tdebug.FreeOSMemory()\n 426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 427→\t\t\t\t\t}\n 428→\t\t\t\t}\n 429→\n 430→\t\t\t\truntime.ReadMemStats(&mem)\n 431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 432→\n 433→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n 434→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n 435→\n 436→\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n 437→\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n 438→\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n 439→\t\t\t\t\tif parseErr != nil {\n 440→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n 441→\t\t\t\t\t} else {\n 442→\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n 443→\t\t\t\t\t\tfor _, fraction := range thresholds {\n 444→\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n 445→\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n 446→\t\t\t\t\t\t\tif freeErr != nil {\n 447→\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n 448→\t\t\t\t\t\t\t}\n 449→\t\t\t\t\t\t\tfreedEmergency += freed\n 450→\n 451→\t\t\t\t\t\t\tbufferPool.Clear()\n 452→\t\t\t\t\t\t\truntime.GC()\n 453→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n 454→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 455→\n 456→\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n 457→\t\t\t\t\t\t\t\tbreak\n 458→\t\t\t\t\t\t\t}\n 459→\t\t\t\t\t\t}\n 460→\t\t\t\t\t}\n 461→\n 462→\t\t\t\t\tbufferPool.Clear()\n 463→\t\t\t\t\tdebug.FreeOSMemory()\n 464→\n 465→\t\t\t\t\truntime.ReadMemStats(&mem)\n 466→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 467→\n 468→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n 469→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 470→\t\t\t\t\t} else {\n 471→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n 472→\t\t\t\t\t}\n 473→\t\t\t\t}\n 474→\n 475→\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n 476→\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n 477→\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n 478→\t\t\t\t\tticker.Reset(fastInterval)\n 479→\t\t\t\t\tcurrentInterval = fastInterval\n 480→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n 481→\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n 482→\t\t\t\t\tticker.Reset(normalInterval)\n 483→\t\t\t\t\tcurrentInterval = normalInterval\n 484→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n 485→\t\t\t\t}\n 486→\t\t\t}\n 487→\t\t}\n 488→\t})\n 489→}\n 490→\n 491→// Free removes metric data older than the given time while preserving data for active nodes.\n 492→//\n 493→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n 494→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n 495→// preserved even if older than the retention time.\n 496→//\n 497→// Parameters:\n 498→// - ms: The MemoryStore instance\n 499→// - t: Time threshold - buffers with data older than this will be freed\n 500→//\n 501→// Returns:\n 502→// - Number of buffers freed\n 503→// - Error if NodeProvider query fails\n 504→//\n 505→// Behavior:\n 506→// - If no NodeProvider is set: frees all buffers older than t\n 507→// - If NodeProvider returns empty map: frees all buffers older than t\n 508→// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n 509→func Free(ms *MemoryStore, t time.Time) (int, error) {\n 510→\t// If no NodeProvider is configured, free all buffers older than t\n 511→\tif ms.nodeProvider == nil {\n 512→\t\treturn ms.Free(nil, t.Unix())\n 513→\t}\n 514→\n 515→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n 516→\tif err != nil {\n 517→\t\treturn 0, err\n 518→\t}\n 519→\n 520→\tswitch lenMap := len(excludeSelectors); lenMap {\n 521→\n 522→\t// If the length of the map returned by GetUsedNodes() is 0,\n 523→\t// then use default Free method with nil selector\n 524→\tcase 0:\n 525→\t\tstate.selectorsExcluded = false\n 526→\t\treturn ms.Free(nil, t.Unix())\n 527→\n 528→\t// Else formulate selectors, exclude those from the map\n 529→\t// and free the rest of the selectors\n 530→\tdefault:\n 531→\t\tstate.selectorsExcluded = true\n 532→\t\tselectors := GetSelectors(ms, excludeSelectors)\n 533→\t\treturn FreeSelected(ms, selectors, t)\n 534→\t}\n 535→}\n 536→\n 537→// FreeSelected frees buffers for specific selectors while preserving others.\n 538→//\n 539→// This function is used when we want to retain some specific nodes beyond the retention time.\n 540→// It iterates through the provided selectors and frees their associated buffers.\n 541→//\n 542→// Parameters:\n 543→// - ms: The MemoryStore instance\n 544→// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n 545→// - t: Time threshold for freeing buffers\n 546→//\n 547→// Returns the total number of buffers freed and any error encountered.\n 548→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n 549→\tfreed := 0\n 550→\n 551→\tfor _, selector := range selectors {\n 552→\n 553→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n 554→\t\tif err != nil {\n 555→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n 556→\t\t}\n 557→\t\tfreed += freedBuffers\n 558→\n 559→\t}\n 560→\n 561→\treturn freed, nil\n 562→}\n 563→\n 564→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n 565→//\n 566→// This function generates a list of selectors whose buffers should be freed by excluding\n 567→// selectors that correspond to nodes currently in use by running jobs.\n 568→//\n 569→// Parameters:\n 570→// - ms: The MemoryStore instance\n 571→// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n 572→//\n 573→// Returns a list of selectors ([]string paths) that can be safely freed.\n 574→//\n 575→// Example:\n 576→//\n 577→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n 578→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n 579→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n 580→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n 581→\tallSelectors := ms.GetPaths(2)\n 582→\n 583→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n 584→\n 585→\tfor _, path := range allSelectors {\n 586→\t\tif len(path) < 2 {\n 587→\t\t\tcontinue\n 588→\t\t}\n 589→\n 590→\t\tkey := path[0] // The \"Key\" (Level 1)\n 591→\t\tvalue := path[1] // The \"Value\" (Level 2)\n 592→\n 593→\t\texclude := false\n 594→\n 595→\t\t// Check if the key exists in our exclusion map\n 596→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n 597→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n 598→\t\t\tif slices.Contains(excludedValues, value) {\n 599→\t\t\t\texclude = true\n 600→\t\t\t}\n 601→\t\t}\n 602→\n 603→\t\tif !exclude {\n 604→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n 605→\t\t}\n 606→\t}\n 607→\n 608→\treturn filteredSelectors\n 609→}\n 610→\n 611→// GetPaths returns a list of lists (paths) to the specified depth.\n 612→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n 613→\tvar results [][]string\n 614→\n 615→\t// Start recursion. Initial path is empty.\n 616→\t// We treat Root as depth 0.\n 617→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n 618→\n 619→\treturn results\n 620→}\n 621→\n 622→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n 623→// Look at `findLevelOrCreate` for how selectors work.\n 624→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n 625→\tvar ok bool\n 626→\tfor i, metric := range metrics {\n 627→\t\tif metric.MetricConfig.Frequency == 0 {\n 628→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n 629→\t\t\tif !ok {\n 630→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n 631→\t\t\t\tmetric.MetricConfig.Frequency = 0\n 632→\t\t\t}\n 633→\t\t\tmetrics[i] = metric\n 634→\t\t}\n 635→\t}\n 636→\n 637→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n 638→}\n 639→\n 640→func (m *MemoryStore) GetLevel(selector []string) *Level {\n 641→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n 642→}\n 643→\n 644→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n 645→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n 646→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n 647→\tl.lock.Lock()\n 648→\tdefer l.lock.Unlock()\n 649→\n 650→\tfor _, metric := range metrics {\n 651→\t\tif metric.MetricConfig.Frequency == 0 {\n 652→\t\t\tcontinue\n 653→\t\t}\n 654→\n 655→\t\tb := l.metrics[metric.MetricConfig.offset]\n 656→\t\tif b == nil {\n 657→\t\t\t// First write to this metric and level\n 658→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n 659→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n 660→\t\t}\n 661→\n 662→\t\tnb, err := b.write(ts, metric.Value)\n 663→\t\tif err != nil {\n 664→\t\t\treturn err\n 665→\t\t}\n 666→\n 667→\t\t// Last write created a new buffer...\n 668→\t\tif b != nb {\n 669→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n 670→\t\t}\n 671→\t}\n 672→\treturn nil\n 673→}\n 674→\n 675→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n 676→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n 677→// The second and third return value are the actual from/to for the data. Those can be different from\n 678→// the range asked for if no data was available.\n 679→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n 680→\tif from > to {\n 681→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n 682→\t}\n 683→\n 684→\tminfo, ok := m.Metrics[metric]\n 685→\tif !ok {\n 686→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n 687→\t}\n 688→\n 689→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n 690→\n 691→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 692→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n 693→\t\tif err != nil {\n 694→\t\t\treturn err\n 695→\t\t}\n 696→\n 697→\t\tif n == 0 {\n 698→\t\t\tfrom, to = cfrom, cto\n 699→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n 700→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n 701→\t\t\tif missingfront != 0 {\n 702→\t\t\t\treturn ErrDataDoesNotAlign\n 703→\t\t\t}\n 704→\n 705→\t\t\tnewlen := len(cdata) - missingback\n 706→\t\t\tif newlen < 1 {\n 707→\t\t\t\treturn ErrDataDoesNotAlign\n 708→\t\t\t}\n 709→\t\t\tcdata = cdata[0:newlen]\n 710→\t\t\tif len(cdata) != len(data) {\n 711→\t\t\t\treturn ErrDataDoesNotAlign\n 712→\t\t\t}\n 713→\n 714→\t\t\tfrom, to = cfrom, cto\n 715→\t\t}\n 716→\n 717→\t\tdata = cdata\n 718→\t\tn += 1\n 719→\t\treturn nil\n 720→\t})\n 721→\n 722→\tif err != nil {\n 723→\t\treturn nil, 0, 0, 0, err\n 724→\t} else if n == 0 {\n 725→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n 726→\t} else if n > 1 {\n 727→\t\tif minfo.Aggregation == AvgAggregation {\n 728→\t\t\tnormalize := 1. / schema.Float(n)\n 729→\t\t\tfor i := 0; i < len(data); i++ {\n 730→\t\t\t\tdata[i] *= normalize\n 731→\t\t\t}\n 732→\t\t} else if minfo.Aggregation != SumAggregation {\n 733→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n 734→\t\t}\n 735→\t}\n 736→\n 737→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n 738→\tif err != nil {\n 739→\t\treturn nil, 0, 0, 0, err\n 740→\t}\n 741→\n 742→\treturn data, from, to, resolution, nil\n 743→}\n 744→\n 745→// Free releases all buffers for the selected level and all its children that\n 746→// contain only values older than `t`.\n 747→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n 748→\treturn m.GetLevel(selector).free(t)\n 749→}\n 750→\n 751→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n 752→func (m *MemoryStore) ForceFree() (int, error) {\n 753→\treturn m.GetLevel(nil).forceFree()\n 754→}\n 755→\n 756→func (m *MemoryStore) FreeAll() error {\n 757→\tfor k := range m.root.children {\n 758→\t\tdelete(m.root.children, k)\n 759→\t}\n 760→\n 761→\treturn nil\n 762→}\n 763→\n 764→func (m *MemoryStore) SizeInBytes() int64 {\n 765→\treturn m.root.sizeInBytes()\n 766→}\n 767→\n 768→func (m *MemoryStore) SizeInGB() float64 {\n 769→\treturn float64(m.root.sizeInBytes()) / 1e9\n 770→}\n 771→\n 772→// ListChildren , given a selector, returns a list of all children of the level\n 773→// selected.\n 774→func (m *MemoryStore) ListChildren(selector []string) []string {\n 775→\tlvl := &m.root\n 776→\tfor lvl != nil && len(selector) != 0 {\n 777→\t\tlvl.lock.RLock()\n 778→\t\tnext := lvl.children[selector[0]]\n 779→\t\tlvl.lock.RUnlock()\n 780→\t\tlvl = next\n 781→\t\tselector = selector[1:]\n 782→\t}\n 783→\n 784→\tif lvl == nil {\n 785→\t\treturn nil\n 786→\t}\n 787→\n 788→\tlvl.lock.RLock()\n 789→\tdefer lvl.lock.RUnlock()\n 790→\n 791→\tchildren := make([]string, 0, len(lvl.children))\n 792→\tfor child := range lvl.children {\n 793→\t\tchildren = append(children, child)\n 794→\t}\n 795→\n 796→\treturn children\n 797→}\n 798→"}]},"uuid":"5a67ed79-379a-4d78-aba9-8affd9c53526","timestamp":"2026-03-13T07:54:52.684Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":798,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"9ad0a0c5-5362-4a07-bc6a-7c261d253625","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5a67ed79-379a-4d78-aba9-8affd9c53526","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015cTqkQR69kC2gR3koAcp8P","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11431},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"da598147-c730-4064-8ea2-c5f63379d5db","timestamp":"2026-03-13T07:54:52.940Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"da598147-c730-4064-8ea2-c5f63379d5db","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015cTqkQR69kC2gR3koAcp8P","toolUseID":"toolu_015cTqkQR69kC2gR3koAcp8P","timestamp":"2026-03-13T07:54:52.949Z","uuid":"eb110dca-2f87-4a92-8916-b614c3362f29","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"da598147-c730-4064-8ea2-c5f63379d5db","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015cTqkQR69kC2gR3koAcp8P","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains the API types and data fetching logic for querying metric data\n 7→// from the in-memory metric store. It provides structures for building complex queries\n 8→// with support for aggregation, scaling, padding, and statistics computation.\n 9→package metricstore\n 10→\n 11→import (\n 12→\t\"errors\"\n 13→\t\"fmt\"\n 14→\t\"math\"\n 15→\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 19→)\n 20→\n 21→var (\n 22→\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n 23→\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n 24→\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n 25→\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n 26→\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n 27→\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n 28→)\n 29→\n 30→// APIMetricData represents the response data for a single metric query.\n 31→//\n 32→// It contains both the time-series data points and computed statistics (avg, min, max).\n 33→// If an error occurred during data retrieval, the Error field will be set and other\n 34→// fields may be incomplete.\n 35→type APIMetricData struct {\n 36→\tError *string `json:\"error,omitempty\"`\n 37→\tData schema.FloatArray `json:\"data,omitempty\"`\n 38→\tFrom int64 `json:\"from\"`\n 39→\tTo int64 `json:\"to\"`\n 40→\tResolution int64 `json:\"resolution\"`\n 41→\tAvg schema.Float `json:\"avg\"`\n 42→\tMin schema.Float `json:\"min\"`\n 43→\tMax schema.Float `json:\"max\"`\n 44→}\n 45→\n 46→// APIQueryRequest represents a batch query request for metric data.\n 47→//\n 48→// It supports two modes of operation:\n 49→// 1. Explicit queries via the Queries field\n 50→// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n 51→//\n 52→// The request can be customized with flags to include/exclude statistics, raw data, and padding.\n 53→type APIQueryRequest struct {\n 54→\tCluster string `json:\"cluster\"`\n 55→\tQueries []APIQuery `json:\"queries\"`\n 56→\tForAllNodes []string `json:\"for-all-nodes\"`\n 57→\tFrom int64 `json:\"from\"`\n 58→\tTo int64 `json:\"to\"`\n 59→\tWithStats bool `json:\"with-stats\"`\n 60→\tWithData bool `json:\"with-data\"`\n 61→\tWithPadding bool `json:\"with-padding\"`\n 62→}\n 63→\n 64→// APIQueryResponse represents the response to an APIQueryRequest.\n 65→//\n 66→// Results is a 2D array where each outer element corresponds to a query,\n 67→// and each inner element corresponds to a selector within that query\n 68→// (e.g., multiple CPUs or cores).\n 69→type APIQueryResponse struct {\n 70→\tQueries []APIQuery `json:\"queries,omitempty\"`\n 71→\tResults [][]APIMetricData `json:\"results\"`\n 72→}\n 73→\n 74→// APIQuery represents a single metric query with optional hierarchical selectors.\n 75→//\n 76→// The hierarchical selection works as follows:\n 77→// - Hostname: The node to query\n 78→// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n 79→// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n 80→//\n 81→// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n 82→// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\n 83→type APIQuery struct {\n 84→\tType *string `json:\"type,omitempty\"`\n 85→\tSubType *string `json:\"subtype,omitempty\"`\n 86→\tMetric string `json:\"metric\"`\n 87→\tHostname string `json:\"host\"`\n 88→\tResolution int64 `json:\"resolution\"`\n 89→\tTypeIds []string `json:\"type-ids,omitempty\"`\n 90→\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n 91→\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n 92→\tAggregate bool `json:\"aggreg\"`\n 93→}\n 94→\n 95→// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n 96→//\n 97→// NaN values in the data are ignored during computation. If all values are NaN,\n 98→// the statistics fields will be set to NaN.\n 99→//\n 100→// TODO: Optimize this, just like the stats endpoint!\n 101→func (data *APIMetricData) AddStats() {\n 102→\tn := 0\n 103→\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n 104→\tfor _, x := range data.Data {\n 105→\t\tif x.IsNaN() {\n 106→\t\t\tcontinue\n 107→\t\t}\n 108→\n 109→\t\tn += 1\n 110→\t\tsum += float64(x)\n 111→\t\tmin = math.Min(min, float64(x))\n 112→\t\tmax = math.Max(max, float64(x))\n 113→\t}\n 114→\n 115→\tif n > 0 {\n 116→\t\tavg := sum / float64(n)\n 117→\t\tdata.Avg = schema.Float(avg)\n 118→\t\tdata.Min = schema.Float(min)\n 119→\t\tdata.Max = schema.Float(max)\n 120→\t} else {\n 121→\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n 122→\t}\n 123→}\n 124→\n 125→// ScaleBy multiplies all data points and statistics by the given factor.\n 126→//\n 127→// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n 128→// Scaling by 0 or 1 is a no-op for performance reasons.\n 129→func (data *APIMetricData) ScaleBy(f schema.Float) {\n 130→\tif f == 0 || f == 1 {\n 131→\t\treturn\n 132→\t}\n 133→\n 134→\tdata.Avg *= f\n 135→\tdata.Min *= f\n 136→\tdata.Max *= f\n 137→\tfor i := 0; i < len(data.Data); i++ {\n 138→\t\tdata.Data[i] *= f\n 139→\t}\n 140→}\n 141→\n 142→// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n 143→//\n 144→// This ensures that the data aligns with the requested 'from' timestamp, even if\n 145→// the metric store doesn't have data for the earliest time points. This is useful\n 146→// for maintaining consistent array indexing across multiple queries.\n 147→//\n 148→// Parameters:\n 149→// - ms: MemoryStore instance to lookup metric configuration\n 150→// - from: The requested start timestamp\n 151→// - to: The requested end timestamp (unused but kept for API consistency)\n 152→// - metric: The metric name to lookup frequency information\n 153→func (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n 154→\tminfo, ok := ms.Metrics[metric]\n 155→\tif !ok {\n 156→\t\treturn\n 157→\t}\n 158→\n 159→\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n 160→\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n 161→\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n 162→\t\tfor range padfront {\n 163→\t\t\tndata = append(ndata, schema.NaN)\n 164→\t\t}\n 165→\t\tfor j := 0; j < len(data.Data); j++ {\n 166→\t\t\tndata = append(ndata, data.Data[j])\n 167→\t\t}\n 168→\t\tdata.Data = ndata\n 169→\t}\n 170→}\n 171→\n 172→// FetchData executes a batch metric query request and returns the results.\n 173→//\n 174→// This is the primary API for retrieving metric data from the memory store. It supports:\n 175→// - Individual queries via req.Queries\n 176→// - Batch queries for all nodes via req.ForAllNodes\n 177→// - Hierarchical selector construction (cluster → host → type → subtype)\n 178→// - Optional statistics computation (avg, min, max)\n 179→// - Optional data scaling\n 180→// - Optional data padding with NaN values\n 181→//\n 182→// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n 183→// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n 184→// separate results are returned for each combination.\n 185→//\n 186→// Parameters:\n 187→// - req: The query request containing queries, time range, and options\n 188→//\n 189→// Returns:\n 190→// - APIQueryResponse containing results for each query, or error if validation fails\n 191→//\n 192→// Errors:\n 193→// - ErrInvalidTimeRange if req.From > req.To\n 194→// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n 195→// - Error if MemoryStore is not initialized\n 196→// - Individual query errors are stored in APIMetricData.Error field\n 197→func FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n 198→\tif req.From > req.To {\n 199→\t\treturn nil, ErrInvalidTimeRange\n 200→\t}\n 201→\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n 202→\t\treturn nil, ErrEmptyCluster\n 203→\t}\n 204→\n 205→\treq.WithData = true\n 206→\tms := GetMemoryStore()\n 207→\tif ms == nil {\n 208→\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n 209→\t}\n 210→\n 211→\tresponse := APIQueryResponse{\n 212→\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n 213→\t}\n 214→\tif req.ForAllNodes != nil {\n 215→\t\tnodes := ms.ListChildren([]string{req.Cluster})\n 216→\t\tfor _, node := range nodes {\n 217→\t\t\tfor _, metric := range req.ForAllNodes {\n 218→\t\t\t\tq := APIQuery{\n 219→\t\t\t\t\tMetric: metric,\n 220→\t\t\t\t\tHostname: node,\n 221→\t\t\t\t}\n 222→\t\t\t\treq.Queries = append(req.Queries, q)\n 223→\t\t\t\tresponse.Queries = append(response.Queries, q)\n 224→\t\t\t}\n 225→\t\t}\n 226→\t}\n 227→\n 228→\tfor _, query := range req.Queries {\n 229→\t\tsels := make([]util.Selector, 0, 1)\n 230→\t\tif query.Aggregate || query.Type == nil {\n 231→\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n 232→\t\t\tif query.Type != nil {\n 233→\t\t\t\tif len(query.TypeIds) == 1 {\n 234→\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n 235→\t\t\t\t} else {\n 236→\t\t\t\t\tids := make([]string, len(query.TypeIds))\n 237→\t\t\t\t\tfor i, id := range query.TypeIds {\n 238→\t\t\t\t\t\tids[i] = *query.Type + id\n 239→\t\t\t\t\t}\n 240→\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 241→\t\t\t\t}\n 242→\n 243→\t\t\t\tif query.SubType != nil {\n 244→\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n 245→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n 246→\t\t\t\t\t} else {\n 247→\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n 248→\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n 249→\t\t\t\t\t\t\tids[i] = *query.SubType + id\n 250→\t\t\t\t\t\t}\n 251→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 252→\t\t\t\t\t}\n 253→\t\t\t\t}\n 254→\t\t\t}\n 255→\t\t\tsels = append(sels, sel)\n 256→\t\t} else {\n 257→\t\t\tfor _, typeID := range query.TypeIds {\n 258→\t\t\t\tif query.SubType != nil {\n 259→\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n 260→\t\t\t\t\t\tsels = append(sels, util.Selector{\n 261→\t\t\t\t\t\t\t{String: req.Cluster},\n 262→\t\t\t\t\t\t\t{String: query.Hostname},\n 263→\t\t\t\t\t\t\t{String: *query.Type + typeID},\n 264→\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n 265→\t\t\t\t\t\t})\n 266→\t\t\t\t\t}\n 267→\t\t\t\t} else {\n 268→\t\t\t\t\tsels = append(sels, util.Selector{\n 269→\t\t\t\t\t\t{String: req.Cluster},\n 270→\t\t\t\t\t\t{String: query.Hostname},\n 271→\t\t\t\t\t\t{String: *query.Type + typeID},\n 272→\t\t\t\t\t})\n 273→\t\t\t\t}\n 274→\t\t\t}\n 275→\t\t}\n 276→\n 277→\t\tvar err error\n 278→\t\tres := make([]APIMetricData, 0, len(sels))\n 279→\t\tfor _, sel := range sels {\n 280→\t\t\tdata := APIMetricData{}\n 281→\n 282→\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n 283→\t\t\tif err != nil {\n 284→\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n 285→\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n 286→\t\t\t\tif err != ErrNoHostOrMetric {\n 287→\t\t\t\t\tmsg := err.Error()\n 288→\t\t\t\t\tdata.Error = &msg\n 289→\t\t\t\t\tres = append(res, data)\n 290→\t\t\t\t} else {\n 291→\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n 292→\t\t\t\t}\n 293→\t\t\t\tcontinue\n 294→\t\t\t}\n 295→\n 296→\t\t\tif req.WithStats {\n 297→\t\t\t\tdata.AddStats()\n 298→\t\t\t}\n 299→\t\t\tif query.ScaleFactor != 0 {\n 300→\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n 301→\t\t\t}\n 302→\t\t\tif req.WithPadding {\n 303→\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n 304→\t\t\t}\n 305→\t\t\tif !req.WithData {\n 306→\t\t\t\tdata.Data = nil\n 307→\t\t\t}\n 308→\t\t\tres = append(res, data)\n 309→\t\t}\n 310→\t\tresponse.Results = append(response.Results, res)\n 311→\t}\n 312→\n 313→\treturn &response, nil\n 314→}\n 315→"}]},"uuid":"5f964e6a-043c-4d3f-b3ef-e558d686be08","timestamp":"2026-03-13T07:54:52.948Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError *string `json:\"error,omitempty\"`\n\tData schema.FloatArray `json:\"data,omitempty\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tResolution int64 `json:\"resolution\"`\n\tAvg schema.Float `json:\"avg\"`\n\tMin schema.Float `json:\"min\"`\n\tMax schema.Float `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n// 1. Explicit queries via the Queries field\n// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster string `json:\"cluster\"`\n\tQueries []APIQuery `json:\"queries\"`\n\tForAllNodes []string `json:\"for-all-nodes\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tWithStats bool `json:\"with-stats\"`\n\tWithData bool `json:\"with-data\"`\n\tWithPadding bool `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n// - Hostname: The node to query\n// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType *string `json:\"type,omitempty\"`\n\tSubType *string `json:\"subtype,omitempty\"`\n\tMetric string `json:\"metric\"`\n\tHostname string `json:\"host\"`\n\tResolution int64 `json:\"resolution\"`\n\tTypeIds []string `json:\"type-ids,omitempty\"`\n\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate bool `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 0 || f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n// - ms: MemoryStore instance to lookup metric configuration\n// - from: The requested start timestamp\n// - to: The requested end timestamp (unused but kept for API consistency)\n// - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n// - Individual queries via req.Queries\n// - Batch queries for all nodes via req.ForAllNodes\n// - Hierarchical selector construction (cluster → host → type → subtype)\n// - Optional statistics computation (avg, min, max)\n// - Optional data scaling\n// - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n// - req: The query request containing queries, time range, and options\n//\n// Returns:\n// - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n// - ErrInvalidTimeRange if req.From > req.To\n// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n// - Error if MemoryStore is not initialized\n// - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric: metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","numLines":315,"startLine":1,"totalLines":315}},"sourceToolAssistantUUID":"da598147-c730-4064-8ea2-c5f63379d5db","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"time\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 15→)\n 16→\n 17→// HealthCheckResponse represents the result of a health check operation.\n 18→type HealthCheckResponse struct {\n 19→\tStatus schema.MonitoringState\n 20→\tError error\n 21→}\n 22→\n 23→// HealthCheckResult holds the monitoring state and raw JSON health metrics\n 24→// for a single node as determined by HealthCheck.\n 25→type HealthCheckResult struct {\n 26→\tState schema.MonitoringState\n 27→\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n 28→}\n 29→\n 30→// MaxMissingDataPoints is the threshold for stale data detection.\n 31→// A buffer is considered healthy if the gap between its last data point\n 32→// and the current time is within MaxMissingDataPoints * frequency.\n 33→const MaxMissingDataPoints int64 = 5\n 34→\n 35→// bufferExists returns true if the buffer is non-nil and contains data.\n 36→func (b *buffer) bufferExists() bool {\n 37→\tif b == nil || b.data == nil || len(b.data) == 0 {\n 38→\t\treturn false\n 39→\t}\n 40→\n 41→\treturn true\n 42→}\n 43→\n 44→// isBufferHealthy returns true if the buffer has recent data within\n 45→// MaxMissingDataPoints * frequency of the current time.\n 46→func (b *buffer) isBufferHealthy() bool {\n 47→\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n 48→\tt := time.Now().Unix()\n 49→\n 50→\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n 51→}\n 52→\n 53→// collectMetricStatus walks the subtree rooted at l and classifies each\n 54→// expected metric into the healthy or degraded map.\n 55→//\n 56→// Classification rules (evaluated per buffer, pessimistic):\n 57→// - A single stale buffer marks the metric as degraded permanently.\n 58→// - A healthy buffer only counts if no stale buffer has been seen.\n 59→// - Metrics absent from the global config or without any buffer remain\n 60→// in neither map and are later reported as missing.\n 61→func (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n 62→\tl.lock.RLock()\n 63→\tdefer l.lock.RUnlock()\n 64→\n 65→\tfor _, metricName := range expectedMetrics {\n 66→\t\tif degraded[metricName] {\n 67→\t\t\tcontinue // already degraded, cannot improve\n 68→\t\t}\n 69→\t\tmc := m.Metrics[metricName]\n 70→\t\tb := l.metrics[mc.offset]\n 71→\t\tif b.bufferExists() {\n 72→\t\t\tif !b.isBufferHealthy() {\n 73→\t\t\t\tdegraded[metricName] = true\n 74→\t\t\t\tdelete(healthy, metricName)\n 75→\t\t\t} else if !degraded[metricName] {\n 76→\t\t\t\thealthy[metricName] = true\n 77→\t\t\t}\n 78→\t\t}\n 79→\t}\n 80→\n 81→\tfor _, lvl := range l.children {\n 82→\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n 83→\t}\n 84→}\n 85→\n 86→// getHealthyMetrics walks the complete subtree rooted at l and classifies\n 87→// each expected metric by comparing the collected status against the\n 88→// expected list.\n 89→//\n 90→// Returns:\n 91→// - missingList: metrics not found in global config or without any buffer\n 92→// - degradedList: metrics with at least one stale buffer in the subtree\n 93→func (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n 94→\thealthy := make(map[string]bool, len(expectedMetrics))\n 95→\tdegraded := make(map[string]bool)\n 96→\n 97→\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n 98→\n 99→\tmissingList := make([]string, 0)\n 100→\tdegradedList := make([]string, 0)\n 101→\n 102→\tfor _, metricName := range expectedMetrics {\n 103→\t\tif healthy[metricName] {\n 104→\t\t\tcontinue\n 105→\t\t}\n 106→\n 107→\t\tif degraded[metricName] {\n 108→\t\t\tdegradedList = append(degradedList, metricName)\n 109→\t\t} else {\n 110→\t\t\tmissingList = append(missingList, metricName)\n 111→\t\t}\n 112→\t}\n 113→\n 114→\treturn degradedList, missingList\n 115→}\n 116→\n 117→// GetHealthyMetrics returns missing and degraded metric lists for a node.\n 118→//\n 119→// It walks the metric tree starting from the node identified by selector\n 120→// and classifies each expected metric:\n 121→// - Missing: no buffer anywhere in the subtree, or metric not in global config\n 122→// - Degraded: at least one stale buffer exists in the subtree\n 123→//\n 124→// Metrics present in expectedMetrics but absent from both returned lists\n 125→// are considered fully healthy.\n 126→func (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n 127→\tlvl := m.root.findLevel(selector)\n 128→\tif lvl == nil {\n 129→\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n 130→\t}\n 131→\n 132→\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n 133→\treturn degradedList, missingList, nil\n 134→}\n 135→\n 136→type HealthCheckReq struct {\n 137→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 138→\tNodes []string `json:\"nodes\"`\n 139→\tMetricNames []string `json:\"metric-names\"`\n 140→}\n 141→\n 142→// HealthCheck evaluates multiple nodes against a set of expected metrics\n 143→// and returns a monitoring state per node.\n 144→//\n 145→// States:\n 146→// - MonitoringStateFull: all expected metrics are healthy\n 147→// - MonitoringStatePartial: some metrics are missing or degraded\n 148→// - MonitoringStateFailed: node not found, or no healthy metrics at all\n 149→func (m *MemoryStore) HealthCheck(cluster string,\n 150→\tnodes []string, expectedMetrics []string,\n 151→) (map[string]HealthCheckResult, error) {\n 152→\tresults := make(map[string]HealthCheckResult, len(nodes))\n 153→\n 154→\tfor _, hostname := range nodes {\n 155→\t\tselector := []string{cluster, hostname}\n 156→\n 157→\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n 158→\t\tif err != nil {\n 159→\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n 160→\t\t\tcontinue\n 161→\t\t}\n 162→\n 163→\t\tdegradedCount := len(degradedList)\n 164→\t\tmissingCount := len(missingList)\n 165→\n 166→\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n 167→\n 168→\t\tif degradedCount > 0 {\n 169→\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n 170→\t\t}\n 171→\t\tif missingCount > 0 {\n 172→\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n 173→\t\t}\n 174→\n 175→\t\tvar state schema.MonitoringState\n 176→\t\tswitch {\n 177→\t\tcase degradedCount == 0 && missingCount == 0:\n 178→\t\t\tstate = schema.MonitoringStateFull\n 179→\t\tcase healthyCount == 0:\n 180→\t\t\tstate = schema.MonitoringStateFailed\n 181→\t\tdefault:\n 182→\t\t\tstate = schema.MonitoringStatePartial\n 183→\t\t}\n 184→\n 185→\t\thm, _ := json.Marshal(map[string][]string{\n 186→\t\t\t\"missing\": missingList,\n 187→\t\t\t\"degraded\": degradedList,\n 188→\t\t})\n 189→\n 190→\t\tresults[hostname] = HealthCheckResult{\n 191→\t\t\tState: state,\n 192→\t\t\tHealthMetrics: string(hm),\n 193→\t\t}\n 194→\t}\n 195→\n 196→\treturn results, nil\n 197→}\n 198→"}]},"uuid":"87283d9e-c266-4b3b-8d31-081922479439","timestamp":"2026-03-13T07:54:53.396Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/healthcheck.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HealthCheckResponse represents the result of a health check operation.\ntype HealthCheckResponse struct {\n\tStatus schema.MonitoringState\n\tError error\n}\n\n// HealthCheckResult holds the monitoring state and raw JSON health metrics\n// for a single node as determined by HealthCheck.\ntype HealthCheckResult struct {\n\tState schema.MonitoringState\n\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n}\n\n// MaxMissingDataPoints is the threshold for stale data detection.\n// A buffer is considered healthy if the gap between its last data point\n// and the current time is within MaxMissingDataPoints * frequency.\nconst MaxMissingDataPoints int64 = 5\n\n// bufferExists returns true if the buffer is non-nil and contains data.\nfunc (b *buffer) bufferExists() bool {\n\tif b == nil || b.data == nil || len(b.data) == 0 {\n\t\treturn false\n\t}\n\n\treturn true\n}\n\n// isBufferHealthy returns true if the buffer has recent data within\n// MaxMissingDataPoints * frequency of the current time.\nfunc (b *buffer) isBufferHealthy() bool {\n\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n\tt := time.Now().Unix()\n\n\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n}\n\n// collectMetricStatus walks the subtree rooted at l and classifies each\n// expected metric into the healthy or degraded map.\n//\n// Classification rules (evaluated per buffer, pessimistic):\n// - A single stale buffer marks the metric as degraded permanently.\n// - A healthy buffer only counts if no stale buffer has been seen.\n// - Metrics absent from the global config or without any buffer remain\n// in neither map and are later reported as missing.\nfunc (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc := m.Metrics[metricName]\n\t\tb := l.metrics[mc.offset]\n\t\tif b.bufferExists() {\n\t\t\tif !b.isBufferHealthy() {\n\t\t\t\tdegraded[metricName] = true\n\t\t\t\tdelete(healthy, metricName)\n\t\t\t} else if !degraded[metricName] {\n\t\t\t\thealthy[metricName] = true\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, lvl := range l.children {\n\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\t}\n}\n\n// getHealthyMetrics walks the complete subtree rooted at l and classifies\n// each expected metric by comparing the collected status against the\n// expected list.\n//\n// Returns:\n// - missingList: metrics not found in global config or without any buffer\n// - degradedList: metrics with at least one stale buffer in the subtree\nfunc (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n\thealthy := make(map[string]bool, len(expectedMetrics))\n\tdegraded := make(map[string]bool)\n\n\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\n\tmissingList := make([]string, 0)\n\tdegradedList := make([]string, 0)\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif healthy[metricName] {\n\t\t\tcontinue\n\t\t}\n\n\t\tif degraded[metricName] {\n\t\t\tdegradedList = append(degradedList, metricName)\n\t\t} else {\n\t\t\tmissingList = append(missingList, metricName)\n\t\t}\n\t}\n\n\treturn degradedList, missingList\n}\n\n// GetHealthyMetrics returns missing and degraded metric lists for a node.\n//\n// It walks the metric tree starting from the node identified by selector\n// and classifies each expected metric:\n// - Missing: no buffer anywhere in the subtree, or metric not in global config\n// - Degraded: at least one stale buffer exists in the subtree\n//\n// Metrics present in expectedMetrics but absent from both returned lists\n// are considered fully healthy.\nfunc (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n\tlvl := m.root.findLevel(selector)\n\tif lvl == nil {\n\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n\t}\n\n\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n\treturn degradedList, missingList, nil\n}\n\ntype HealthCheckReq struct {\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n\tNodes []string `json:\"nodes\"`\n\tMetricNames []string `json:\"metric-names\"`\n}\n\n// HealthCheck evaluates multiple nodes against a set of expected metrics\n// and returns a monitoring state per node.\n//\n// States:\n// - MonitoringStateFull: all expected metrics are healthy\n// - MonitoringStatePartial: some metrics are missing or degraded\n// - MonitoringStateFailed: node not found, or no healthy metrics at all\nfunc (m *MemoryStore) HealthCheck(cluster string,\n\tnodes []string, expectedMetrics []string,\n) (map[string]HealthCheckResult, error) {\n\tresults := make(map[string]HealthCheckResult, len(nodes))\n\n\tfor _, hostname := range nodes {\n\t\tselector := []string{cluster, hostname}\n\n\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n\t\tif err != nil {\n\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n\t\t\tcontinue\n\t\t}\n\n\t\tdegradedCount := len(degradedList)\n\t\tmissingCount := len(missingList)\n\n\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n\n\t\tif degradedCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n\t\t}\n\t\tif missingCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n\t\t}\n\n\t\tvar state schema.MonitoringState\n\t\tswitch {\n\t\tcase degradedCount == 0 && missingCount == 0:\n\t\t\tstate = schema.MonitoringStateFull\n\t\tcase healthyCount == 0:\n\t\t\tstate = schema.MonitoringStateFailed\n\t\tdefault:\n\t\t\tstate = schema.MonitoringStatePartial\n\t\t}\n\n\t\thm, _ := json.Marshal(map[string][]string{\n\t\t\t\"missing\": missingList,\n\t\t\t\"degraded\": degradedList,\n\t\t})\n\n\t\tresults[hostname] = HealthCheckResult{\n\t\t\tState: state,\n\t\t\tHealthMetrics: string(hm),\n\t\t}\n\t}\n\n\treturn results, nil\n}\n","numLines":198,"startLine":1,"totalLines":198}},"sourceToolAssistantUUID":"e5493694-089a-46c5-a2a7-1406efbc54c9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"87283d9e-c266-4b3b-8d31-081922479439","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11431},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"70a1642d-2934-4bd9-b978-bd22173771a5","timestamp":"2026-03-13T07:54:53.840Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"70a1642d-2934-4bd9-b978-bd22173771a5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","toolUseID":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","timestamp":"2026-03-13T07:54:53.845Z","uuid":"5718dc42-a349-4f03-b740-125a130bd87c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"70a1642d-2934-4bd9-b978-bd22173771a5","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides config.go: Configuration structures and metric management.\n 7→//\n 8→// # Configuration Hierarchy\n 9→//\n 10→// The metricstore package uses nested configuration structures:\n 11→//\n 12→//\tMetricStoreConfig (Keys)\n 13→//\t├─ NumWorkers: Parallel checkpoint/archive workers\n 14→//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n 15→//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n 16→//\t├─ Checkpoints: Persistence configuration\n 17→//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n 18→//\t│ └─ RootDir: Checkpoint storage path\n 19→//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n 20→//\t│ ├─ RootDir: Archive storage path (archive mode only)\n 21→//\t│ └─ Mode: \"delete\" or \"archive\"\n 22→//\t├─ Debug: Development/debugging options\n 23→//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n 24→//\n 25→// # Metric Configuration\n 26→//\n 27→// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n 28→// Metrics map, defining:\n 29→//\n 30→// - Frequency: Measurement interval in seconds\n 31→// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n 32→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 33→//\n 34→// # AggregationStrategy\n 35→//\n 36→// Determines how to combine metric values when aggregating from finer to coarser scopes:\n 37→//\n 38→// - NoAggregation: Do not combine (incompatible scopes)\n 39→// - SumAggregation: Add values (e.g., power consumption: core→socket)\n 40→// - AvgAggregation: Average values (e.g., temperature: core→socket)\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"fmt\"\n 45→\t\"time\"\n 46→\n 47→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 48→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 50→)\n 51→\n 52→const (\n 53→\tDefaultMaxWorkers = 10\n 54→\tDefaultBufferCapacity = 512\n 55→\tDefaultGCTriggerInterval = 100\n 56→\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n 57→)\n 58→\n 59→// Checkpoints configures periodic persistence of in-memory metric data.\n 60→//\n 61→// Fields:\n 62→// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n 63→// - RootDir: Filesystem path for checkpoint files (created if missing)\n 64→type Checkpoints struct {\n 65→\tFileFormat string `json:\"file-format\"`\n 66→\tRootDir string `json:\"directory\"`\n 67→}\n 68→\n 69→// Debug provides development and profiling options.\n 70→//\n 71→// Fields:\n 72→// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n 73→// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\n 74→type Debug struct {\n 75→\tDumpToFile string `json:\"dump-to-file\"`\n 76→\tEnableGops bool `json:\"gops\"`\n 77→}\n 78→\n 79→// Cleanup configures long-term storage of old metric data.\n 80→//\n 81→// Data older than RetentionInMemory is archived to disk or deleted.\n 82→// The cleanup interval is always RetentionInMemory.\n 83→//\n 84→// Fields:\n 85→// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n 86→// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\n 87→type Cleanup struct {\n 88→\tRootDir string `json:\"directory\"`\n 89→\tMode string `json:\"mode\"`\n 90→}\n 91→\n 92→// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n 93→//\n 94→// Each subscription receives metrics via NATS messaging, enabling real-time\n 95→// data collection from compute nodes.\n 96→//\n 97→// Fields:\n 98→// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n 99→// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\n 100→type Subscriptions []struct {\n 101→\t// Channel name\n 102→\tSubscribeTo string `json:\"subscribe-to\"`\n 103→\n 104→\t// Allow lines without a cluster tag, use this as default, optional\n 105→\tClusterTag string `json:\"cluster-tag\"`\n 106→}\n 107→\n 108→// MetricStoreConfig defines the main configuration for the metricstore.\n 109→//\n 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`\n 125→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 126→\tMemoryCap int `json:\"memory-cap\"`\n 127→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 128→\tDebug *Debug `json:\"debug\"`\n 129→\tCleanup *Cleanup `json:\"cleanup\"`\n 130→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 131→}\n 132→\n 133→// Keys is the global metricstore configuration instance.\n 134→//\n 135→// Initialized with defaults, then overwritten by cc-backend's config.json.\n 136→// Accessed by Init(), Checkpointing(), and other lifecycle functions.\n 137→var Keys MetricStoreConfig = MetricStoreConfig{\n 138→\tCheckpoints: Checkpoints{\n 139→\t\tFileFormat: \"wal\",\n 140→\t\tRootDir: \"./var/checkpoints\",\n 141→\t},\n 142→\tCleanup: &Cleanup{\n 143→\t\tMode: \"delete\",\n 144→\t},\n 145→}\n 146→\n 147→// AggregationStrategy defines how to combine metric values across hierarchy levels.\n 148→//\n 149→// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n 150→// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n 151→//\n 152→// Values:\n 153→// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n 154→// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n 155→// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\n 156→type AggregationStrategy int\n 157→\n 158→const (\n 159→\tNoAggregation AggregationStrategy = iota // Do not aggregate\n 160→\tSumAggregation // Sum values (e.g., power, energy)\n 161→\tAvgAggregation // Average values (e.g., temperature, utilization)\n 162→)\n 163→\n 164→// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n 165→//\n 166→// Used when loading metric configurations from JSON/YAML files.\n 167→//\n 168→// Parameters:\n 169→// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n 170→//\n 171→// Returns:\n 172→// - AggregationStrategy: Parsed value\n 173→// - error: Non-nil if str is unrecognized\n 174→func AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n 175→\tswitch str {\n 176→\tcase \"\":\n 177→\t\treturn NoAggregation, nil\n 178→\tcase \"sum\":\n 179→\t\treturn SumAggregation, nil\n 180→\tcase \"avg\":\n 181→\t\treturn AvgAggregation, nil\n 182→\tdefault:\n 183→\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n 184→\t}\n 185→}\n 186→\n 187→// MetricConfig defines configuration for a single metric type.\n 188→//\n 189→// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n 190→//\n 191→// Fields:\n 192→// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n 193→// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n 194→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 195→type MetricConfig struct {\n 196→\t// Interval in seconds at which measurements are stored\n 197→\tFrequency int64\n 198→\n 199→\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n 200→\tAggregation AggregationStrategy\n 201→\n 202→\t// Private, used internally...\n 203→\toffset int\n 204→}\n 205→\n 206→func BuildMetricList() map[string]MetricConfig {\n 207→\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n 208→\n 209→\taddMetric := func(name string, metric MetricConfig) error {\n 210→\t\tif metrics == nil {\n 211→\t\t\tmetrics = make(map[string]MetricConfig, 0)\n 212→\t\t}\n 213→\n 214→\t\tif existingMetric, ok := metrics[name]; ok {\n 215→\t\t\tif existingMetric.Frequency != metric.Frequency {\n 216→\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n 217→\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n 218→\t\t\t\t\tmetrics[name] = existingMetric\n 219→\t\t\t\t}\n 220→\t\t\t}\n 221→\t\t} else {\n 222→\t\t\tmetrics[name] = metric\n 223→\t\t}\n 224→\n 225→\t\treturn nil\n 226→\t}\n 227→\n 228→\t// Helper function to add metric configuration\n 229→\taddMetricConfig := func(mc *schema.MetricConfig) {\n 230→\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n 231→\t\tif err != nil {\n 232→\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n 233→\t\t}\n 234→\n 235→\t\taddMetric(mc.Name, MetricConfig{\n 236→\t\t\tFrequency: int64(mc.Timestep),\n 237→\t\t\tAggregation: agg,\n 238→\t\t})\n 239→\t}\n 240→\tfor _, c := range archive.Clusters {\n 241→\t\tfor _, mc := range c.MetricConfig {\n 242→\t\t\taddMetricConfig(mc)\n 243→\t\t}\n 244→\n 245→\t\tfor _, sc := range c.SubClusters {\n 246→\t\t\tfor _, mc := range sc.MetricConfig {\n 247→\t\t\t\taddMetricConfig(mc)\n 248→\t\t\t}\n 249→\t\t}\n 250→\t}\n 251→\n 252→\treturn metrics\n 253→}\n 254→"}]},"uuid":"b372a672-48d3-4906-bd7e-fba00bbb2338","timestamp":"2026-03-13T07:54:53.845Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","numLines":254,"startLine":1,"totalLines":254}},"sourceToolAssistantUUID":"70a1642d-2934-4bd9-b978-bd22173771a5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b372a672-48d3-4906-bd7e-fba00bbb2338","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017EpR3TjRnKd4DqvvULE3bs","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"output_tokens":499,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":11431,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"76f05b12-e874-46cd-9175-0f2f9612e301","timestamp":"2026-03-13T07:54:54.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"76f05b12-e874-46cd-9175-0f2f9612e301","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_017EpR3TjRnKd4DqvvULE3bs","toolUseID":"toolu_017EpR3TjRnKd4DqvvULE3bs","timestamp":"2026-03-13T07:54:54.089Z","uuid":"f69e09a7-09a3-41bb-937d-ceaf256ab2a8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"76f05b12-e874-46cd-9175-0f2f9612e301","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017EpR3TjRnKd4DqvvULE3bs","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file implements checkpoint persistence for the in-memory metric store.\n 7→//\n 8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n 9→// data to disk in JSON or binary format. The checkpoint system:\n 10→//\n 11→// Key Features:\n 12→// - Periodic background checkpointing via the Checkpointing() worker\n 13→// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n 14→// - Parallel checkpoint creation and loading using worker pools\n 15→// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n 16→// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n 17→// - Only saves unarchived data (archived data is already persisted elsewhere)\n 18→// - GC optimization during loading to prevent excessive heap growth\n 19→//\n 20→// Checkpoint Workflow:\n 21→// 1. Init() loads checkpoints within retention window at startup\n 22→// 2. Checkpointing() worker periodically saves new data\n 23→// 3. Shutdown() writes final checkpoint before exit\n 24→//\n 25→// File Organization:\n 26→//\n 27→//\tcheckpoints/\n 28→//\t cluster1/\n 29→//\t host001/\n 30→//\t 1234567890.json (JSON format: full subtree snapshot)\n 31→//\t 1234567890.bin (binary format: full subtree snapshot)\n 32→//\t current.wal (WAL format: append-only per-entry log)\n 33→//\t host002/\n 34→//\t ...\n 35→package metricstore\n 36→\n 37→import (\n 38→\t\"bufio\"\n 39→\t\"context\"\n 40→\t\"encoding/json\"\n 41→\t\"errors\"\n 42→\t\"fmt\"\n 43→\t\"io/fs\"\n 44→\t\"os\"\n 45→\t\"path\"\n 46→\t\"path/filepath\"\n 47→\t\"sort\"\n 48→\t\"strconv\"\n 49→\t\"strings\"\n 50→\t\"sync\"\n 51→\t\"sync/atomic\"\n 52→\t\"time\"\n 53→\n 54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 56→)\n 57→\n 58→const (\n 59→\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n 60→\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n 61→\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n 62→)\n 63→\n 64→// CheckpointMetrics represents metric data in a checkpoint file.\n 65→// Whenever the structure changes, update MarshalJSON as well!\n 66→type CheckpointMetrics struct {\n 67→\tData []schema.Float `json:\"data\"`\n 68→\tFrequency int64 `json:\"frequency\"`\n 69→\tStart int64 `json:\"start\"`\n 70→}\n 71→\n 72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n 73→// It mirrors the Level tree structure from the MemoryStore.\n 74→type CheckpointFile struct {\n 75→\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n 76→\tChildren map[string]*CheckpointFile `json:\"children\"`\n 77→\tFrom int64 `json:\"from\"`\n 78→\tTo int64 `json:\"to\"`\n 79→}\n 80→\n 81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n 82→var (\n 83→\tlastCheckpoint time.Time\n 84→\tlastCheckpointMu sync.Mutex\n 85→)\n 86→\n 87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n 88→//\n 89→// Checkpoints are written every 12 hours (hardcoded).\n 90→//\n 91→// Format behaviour:\n 92→// - \"json\": Periodic checkpointing every checkpointInterval\n 93→// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\n 94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n 95→\tlastCheckpointMu.Lock()\n 96→\tlastCheckpoint = time.Now()\n 97→\tlastCheckpointMu.Unlock()\n 98→\n 99→\tms := GetMemoryStore()\n 100→\n 101→\twg.Go(func() {\n 102→\n 103→\t\tconst checkpointInterval = 12 * time.Hour\n 104→\t\td := checkpointInterval\n 105→\n 106→\t\tticker := time.NewTicker(d)\n 107→\t\tdefer ticker.Stop()\n 108→\n 109→\t\tfor {\n 110→\t\t\tselect {\n 111→\t\t\tcase <-ctx.Done():\n 112→\t\t\t\treturn\n 113→\t\t\tcase <-ticker.C:\n 114→\t\t\t\tlastCheckpointMu.Lock()\n 115→\t\t\t\tfrom := lastCheckpoint\n 116→\t\t\t\tlastCheckpointMu.Unlock()\n 117→\n 118→\t\t\t\tnow := time.Now()\n 119→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n 120→\n 121→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 122→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 123→\t\t\t\t\tif err != nil {\n 124→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n 125→\t\t\t\t\t} else {\n 126→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n 127→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 128→\t\t\t\t\t\tlastCheckpoint = now\n 129→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 130→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n 131→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n 132→\t\t\t\t\t}\n 133→\t\t\t\t} else {\n 134→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 135→\t\t\t\t\tif err != nil {\n 136→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n 137→\t\t\t\t\t} else {\n 138→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n 139→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 140→\t\t\t\t\t\tlastCheckpoint = now\n 141→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 142→\t\t\t\t\t}\n 143→\t\t\t\t}\n 144→\t\t\t}\n 145→\t\t}\n 146→\t})\n 147→}\n 148→\n 149→// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n 150→//\n 151→// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n 152→// This method manually constructs JSON to avoid allocations and interface conversions.\n 153→func (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n 154→\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n 155→\tbuf = append(buf, `{\"frequency\":`...)\n 156→\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n 157→\tbuf = append(buf, `,\"start\":`...)\n 158→\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n 159→\tbuf = append(buf, `,\"data\":[`...)\n 160→\tfor i, x := range cm.Data {\n 161→\t\tif i != 0 {\n 162→\t\t\tbuf = append(buf, ',')\n 163→\t\t}\n 164→\t\tif x.IsNaN() {\n 165→\t\t\tbuf = append(buf, `null`...)\n 166→\t\t} else {\n 167→\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n 168→\t\t}\n 169→\t}\n 170→\tbuf = append(buf, `]}`...)\n 171→\treturn buf, nil\n 172→}\n 173→\n 174→// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n 175→//\n 176→// Metrics at root and cluster levels are skipped. One file per host is created.\n 177→// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n 178→// at a time, allowing concurrent writes/reads to other hosts.\n 179→//\n 180→// Returns the number of checkpoint files created and any errors encountered.\n 181→func (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n 182→\t// Pre-calculate capacity by counting cluster/host pairs\n 183→\tm.root.lock.RLock()\n 184→\ttotalHosts := 0\n 185→\tfor _, l1 := range m.root.children {\n 186→\t\tl1.lock.RLock()\n 187→\t\ttotalHosts += len(l1.children)\n 188→\t\tl1.lock.RUnlock()\n 189→\t}\n 190→\tm.root.lock.RUnlock()\n 191→\n 192→\tlevels := make([]*Level, 0, totalHosts)\n 193→\tselectors := make([][]string, 0, totalHosts)\n 194→\n 195→\tm.root.lock.RLock()\n 196→\tfor sel1, l1 := range m.root.children {\n 197→\t\tl1.lock.RLock()\n 198→\t\tfor sel2, l2 := range l1.children {\n 199→\t\t\tlevels = append(levels, l2)\n 200→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n 201→\t\t}\n 202→\t\tl1.lock.RUnlock()\n 203→\t}\n 204→\tm.root.lock.RUnlock()\n 205→\n 206→\ttype workItem struct {\n 207→\t\tlevel *Level\n 208→\t\tdir string\n 209→\t\tselector []string\n 210→\t}\n 211→\n 212→\tn, errs := int32(0), int32(0)\n 213→\n 214→\tvar wg sync.WaitGroup\n 215→\twg.Add(Keys.NumWorkers)\n 216→\twork := make(chan workItem, Keys.NumWorkers*2)\n 217→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 218→\t\tgo func() {\n 219→\t\t\tdefer wg.Done()\n 220→\n 221→\t\t\tfor workItem := range work {\n 222→\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n 223→\t\t\t\t\tif err == ErrNoNewArchiveData {\n 224→\t\t\t\t\t\tcontinue\n 225→\t\t\t\t\t}\n 226→\n 227→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n 228→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 229→\t\t\t\t} else {\n 230→\t\t\t\t\tatomic.AddInt32(&n, 1)\n 231→\t\t\t\t}\n 232→\t\t\t}\n 233→\t\t}()\n 234→\t}\n 235→\n 236→\tfor i := 0; i < len(levels); i++ {\n 237→\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n 238→\t\twork <- workItem{\n 239→\t\t\tlevel: levels[i],\n 240→\t\t\tdir: dir,\n 241→\t\t\tselector: selectors[i],\n 242→\t\t}\n 243→\t}\n 244→\n 245→\tclose(work)\n 246→\twg.Wait()\n 247→\n 248→\tif errs > 0 {\n 249→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 250→\t}\n 251→\treturn int(n), nil\n 252→}\n 253→\n 254→// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n 255→// Skips metrics that are already archived. Returns nil if no unarchived data exists.\n 256→func (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n 257→\tl.lock.RLock()\n 258→\tdefer l.lock.RUnlock()\n 259→\n 260→\tretval := &CheckpointFile{\n 261→\t\tFrom: from,\n 262→\t\tTo: to,\n 263→\t\tMetrics: make(map[string]*CheckpointMetrics),\n 264→\t\tChildren: make(map[string]*CheckpointFile),\n 265→\t}\n 266→\n 267→\tfor metric, minfo := range m.Metrics {\n 268→\t\tb := l.metrics[minfo.offset]\n 269→\t\tif b == nil {\n 270→\t\t\tcontinue\n 271→\t\t}\n 272→\n 273→\t\tallArchived := true\n 274→\t\tb.iterFromTo(from, to, func(b *buffer) error {\n 275→\t\t\tif !b.archived {\n 276→\t\t\t\tallArchived = false\n 277→\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n 278→\t\t\t}\n 279→\t\t\treturn nil\n 280→\t\t})\n 281→\n 282→\t\tif allArchived {\n 283→\t\t\tcontinue\n 284→\t\t}\n 285→\n 286→\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n 287→\t\tdata, start, end, err := b.read(from, to, data)\n 288→\t\tif err != nil {\n 289→\t\t\treturn nil, err\n 290→\t\t}\n 291→\n 292→\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n 293→\t\t\tdata[i] = schema.NaN\n 294→\t\t}\n 295→\n 296→\t\tretval.Metrics[metric] = &CheckpointMetrics{\n 297→\t\t\tFrequency: b.frequency,\n 298→\t\t\tStart: start,\n 299→\t\t\tData: data,\n 300→\t\t}\n 301→\t}\n 302→\n 303→\tfor name, child := range l.children {\n 304→\t\tval, err := child.toCheckpointFile(from, to, m)\n 305→\t\tif err != nil {\n 306→\t\t\treturn nil, err\n 307→\t\t}\n 308→\n 309→\t\tif val != nil {\n 310→\t\t\tretval.Children[name] = val\n 311→\t\t}\n 312→\t}\n 313→\n 314→\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n 315→\t\treturn nil, nil\n 316→\t}\n 317→\n 318→\treturn retval, nil\n 319→}\n 320→\n 321→// toCheckpoint writes a Level's data to a JSON checkpoint file.\n 322→// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\n 323→func (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n 324→\tcf, err := l.toCheckpointFile(from, to, m)\n 325→\tif err != nil {\n 326→\t\treturn err\n 327→\t}\n 328→\n 329→\tif cf == nil {\n 330→\t\treturn ErrNoNewArchiveData\n 331→\t}\n 332→\n 333→\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n 334→\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 335→\tif err != nil && os.IsNotExist(err) {\n 336→\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n 337→\t\tif err == nil {\n 338→\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 339→\t\t}\n 340→\t}\n 341→\tif err != nil {\n 342→\t\treturn err\n 343→\t}\n 344→\tdefer f.Close()\n 345→\n 346→\tbw := bufio.NewWriter(f)\n 347→\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n 348→\t\treturn err\n 349→\t}\n 350→\n 351→\treturn bw.Flush()\n 352→}\n 353→\n 354→// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n 355→// Returns error if directory structure is invalid.\n 356→func enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n 357→\tclustersDir, err := os.ReadDir(dir)\n 358→\tif err != nil {\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\tfor _, clusterDir := range clustersDir {\n 363→\t\tif !clusterDir.IsDir() {\n 364→\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n 365→\t\t}\n 366→\n 367→\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n 368→\t\tif err != nil {\n 369→\t\t\treturn err\n 370→\t\t}\n 371→\n 372→\t\tfor _, hostDir := range hostsDir {\n 373→\t\t\tif !hostDir.IsDir() {\n 374→\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n 375→\t\t\t}\n 376→\n 377→\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n 378→\t\t}\n 379→\t}\n 380→\n 381→\treturn nil\n 382→}\n 383→\n 384→// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n 385→//\n 386→// Uses worker pool to load cluster/host combinations. Returns number of files\n 387→// loaded and any errors.\n 388→func (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n 389→\tvar wg sync.WaitGroup\n 390→\twork := make(chan [2]string, Keys.NumWorkers*4)\n 391→\tn, errs := int32(0), int32(0)\n 392→\n 393→\twg.Add(Keys.NumWorkers)\n 394→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 395→\t\tgo func() {\n 396→\t\t\tdefer wg.Done()\n 397→\t\t\tfor host := range work {\n 398→\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n 399→\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n 400→\t\t\t\tif err != nil {\n 401→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n 402→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 403→\t\t\t\t}\n 404→\t\t\t\tatomic.AddInt32(&n, int32(nn))\n 405→\t\t\t}\n 406→\t\t}()\n 407→\t}\n 408→\n 409→\terr := enqueueCheckpointHosts(dir, work)\n 410→\tclose(work)\n 411→\twg.Wait()\n 412→\n 413→\tif err != nil {\n 414→\t\treturn int(n), err\n 415→\t}\n 416→\n 417→\tif errs > 0 {\n 418→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 419→\t}\n 420→\treturn int(n), nil\n 421→}\n 422→\n 423→// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n 424→//\n 425→// Creates checkpoint directory if it doesn't exist. This function must be called\n 426→// before any writes or reads, and can only be called once.\n 427→func (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n 428→\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n 429→\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n 430→\t\tif err != nil {\n 431→\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n 432→\t\t}\n 433→\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n 434→\t}\n 435→\n 436→\treturn m.FromCheckpoint(dir, from)\n 437→}\n 438→\n 439→func (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n 440→\tbr := bufio.NewReader(f)\n 441→\tcf := &CheckpointFile{}\n 442→\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 443→\t\treturn err\n 444→\t}\n 445→\n 446→\tif cf.To != 0 && cf.To < from {\n 447→\t\treturn nil\n 448→\t}\n 449→\n 450→\tif err := l.loadFile(cf, m); err != nil {\n 451→\t\treturn err\n 452→\t}\n 453→\n 454→\treturn nil\n 455→}\n 456→\n 457→func (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n 458→\tfor name, metric := range cf.Metrics {\n 459→\t\tn := len(metric.Data)\n 460→\t\tb := &buffer{\n 461→\t\t\tfrequency: metric.Frequency,\n 462→\t\t\tstart: metric.Start,\n 463→\t\t\tdata: metric.Data[0:n:n],\n 464→\t\t\tprev: nil,\n 465→\t\t\tnext: nil,\n 466→\t\t\tarchived: true,\n 467→\t\t}\n 468→\n 469→\t\tminfo, ok := m.Metrics[name]\n 470→\t\tif !ok {\n 471→\t\t\tcontinue\n 472→\t\t}\n 473→\n 474→\t\tprev := l.metrics[minfo.offset]\n 475→\t\tif prev == nil {\n 476→\t\t\tl.metrics[minfo.offset] = b\n 477→\t\t} else {\n 478→\t\t\tif prev.start > b.start {\n 479→\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n 480→\t\t\t}\n 481→\n 482→\t\t\tb.prev = prev\n 483→\t\t\tprev.next = b\n 484→\t\t}\n 485→\t\tl.metrics[minfo.offset] = b\n 486→\t}\n 487→\n 488→\tif len(cf.Children) > 0 && l.children == nil {\n 489→\t\tl.children = make(map[string]*Level)\n 490→\t}\n 491→\n 492→\tfor sel, childCf := range cf.Children {\n 493→\t\tchild, ok := l.children[sel]\n 494→\t\tif !ok {\n 495→\t\t\tchild = &Level{\n 496→\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n 497→\t\t\t\tchildren: nil,\n 498→\t\t\t}\n 499→\t\t\tl.children[sel] = child\n 500→\t\t}\n 501→\n 502→\t\tif err := child.loadFile(childCf, m); err != nil {\n 503→\t\t\treturn err\n 504→\t\t}\n 505→\t}\n 506→\n 507→\treturn nil\n 508→}\n 509→\n 510→// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n 511→// single host directory. Snapshot files are loaded first (sorted by timestamp),\n 512→// then current.wal is replayed on top.\n 513→func (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n 514→\tdirentries, err := os.ReadDir(dir)\n 515→\tif err != nil {\n 516→\t\tif os.IsNotExist(err) {\n 517→\t\t\treturn 0, nil\n 518→\t\t}\n 519→\t\treturn 0, err\n 520→\t}\n 521→\n 522→\tallFiles := make([]fs.DirEntry, 0)\n 523→\tvar walEntry fs.DirEntry\n 524→\tfilesLoaded := 0\n 525→\n 526→\tfor _, e := range direntries {\n 527→\t\tif e.IsDir() {\n 528→\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n 529→\t\t\t// These are ignored; their data is not loaded.\n 530→\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n 531→\t\t\tcontinue\n 532→\t\t}\n 533→\n 534→\t\tname := e.Name()\n 535→\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n 536→\t\t\tallFiles = append(allFiles, e)\n 537→\t\t} else if name == \"current.wal\" {\n 538→\t\t\twalEntry = e\n 539→\t\t}\n 540→\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n 541→\t}\n 542→\n 543→\tfiles, err := findFiles(allFiles, from, true)\n 544→\tif err != nil {\n 545→\t\treturn filesLoaded, err\n 546→\t}\n 547→\n 548→\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n 549→\t\t\".json\": l.loadJSONFile,\n 550→\t\t\".bin\": l.loadBinaryFile,\n 551→\t}\n 552→\n 553→\tfor _, filename := range files {\n 554→\t\text := filepath.Ext(filename)\n 555→\t\tloader := loaders[ext]\n 556→\t\tif loader == nil {\n 557→\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n 558→\t\t\tcontinue\n 559→\t\t}\n 560→\n 561→\t\terr := func() error {\n 562→\t\t\tf, err := os.Open(path.Join(dir, filename))\n 563→\t\t\tif err != nil {\n 564→\t\t\t\treturn err\n 565→\t\t\t}\n 566→\t\t\tdefer f.Close()\n 567→\t\t\treturn loader(m, f, from)\n 568→\t\t}()\n 569→\t\tif err != nil {\n 570→\t\t\treturn filesLoaded, err\n 571→\t\t}\n 572→\t\tfilesLoaded++\n 573→\t}\n 574→\n 575→\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n 576→\tif walEntry != nil {\n 577→\t\terr := func() error {\n 578→\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n 579→\t\t\tif err != nil {\n 580→\t\t\t\treturn err\n 581→\t\t\t}\n 582→\t\t\tdefer f.Close()\n 583→\t\t\treturn l.loadWALFile(m, f, from)\n 584→\t\t}()\n 585→\t\tif err != nil {\n 586→\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n 587→\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n 588→\t\t} else {\n 589→\t\t\tfilesLoaded++\n 590→\t\t}\n 591→\t}\n 592→\n 593→\treturn filesLoaded, nil\n 594→}\n 595→\n 596→// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n 597→// Supports \".json\" (format: \".json\") and \".bin\" (format: \".bin\").\n 598→func parseTimestampFromFilename(name string) (int64, error) {\n 599→\tswitch {\n 600→\tcase strings.HasSuffix(name, \".json\"):\n 601→\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n 602→\tcase strings.HasSuffix(name, \".bin\"):\n 603→\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n 604→\tdefault:\n 605→\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n 606→\t}\n 607→}\n 608→\n 609→// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n 610→// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n 611→// last file before t if t falls between two files).\n 612→func findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n 613→\tnums := map[string]int64{}\n 614→\tfor _, e := range direntries {\n 615→\t\tname := e.Name()\n 616→\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n 617→\t\t\tcontinue\n 618→\t\t}\n 619→\n 620→\t\tts, err := parseTimestampFromFilename(name)\n 621→\t\tif err != nil {\n 622→\t\t\treturn nil, err\n 623→\t\t}\n 624→\t\tnums[name] = ts\n 625→\t}\n 626→\n 627→\tsort.Slice(direntries, func(i, j int) bool {\n 628→\t\ta, b := direntries[i], direntries[j]\n 629→\t\treturn nums[a.Name()] < nums[b.Name()]\n 630→\t})\n 631→\n 632→\tif len(nums) == 0 {\n 633→\t\treturn nil, nil\n 634→\t}\n 635→\n 636→\tfilenames := make([]string, 0)\n 637→\n 638→\tfor i, e := range direntries {\n 639→\t\tts1 := nums[e.Name()]\n 640→\n 641→\t\tif findMoreRecentFiles && t <= ts1 {\n 642→\t\t\tfilenames = append(filenames, e.Name())\n 643→\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n 644→\t\t\tfilenames = append(filenames, e.Name())\n 645→\t\t}\n 646→\n 647→\t\tif i == len(direntries)-1 {\n 648→\t\t\tcontinue\n 649→\t\t}\n 650→\n 651→\t\tenext := direntries[i+1]\n 652→\t\tts2 := nums[enext.Name()]\n 653→\n 654→\t\tif findMoreRecentFiles {\n 655→\t\t\tif ts1 < t && t < ts2 {\n 656→\t\t\t\tfilenames = append(filenames, e.Name())\n 657→\t\t\t}\n 658→\t\t}\n 659→\t}\n 660→\n 661→\treturn filenames, nil\n 662→}\n 663→"}]},"uuid":"89e1ba28-c7de-4028-9fa4-48847b7657ba","timestamp":"2026-03-13T07:54:54.088Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements checkpoint persistence for the in-memory metric store.\n//\n// Checkpoints enable graceful restarts by periodically saving in-memory metric\n// data to disk in JSON or binary format. The checkpoint system:\n//\n// Key Features:\n// - Periodic background checkpointing via the Checkpointing() worker\n// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n// - Parallel checkpoint creation and loading using worker pools\n// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n// - Only saves unarchived data (archived data is already persisted elsewhere)\n// - GC optimization during loading to prevent excessive heap growth\n//\n// Checkpoint Workflow:\n// 1. Init() loads checkpoints within retention window at startup\n// 2. Checkpointing() worker periodically saves new data\n// 3. Shutdown() writes final checkpoint before exit\n//\n// File Organization:\n//\n//\tcheckpoints/\n//\t cluster1/\n//\t host001/\n//\t 1234567890.json (JSON format: full subtree snapshot)\n//\t 1234567890.bin (binary format: full subtree snapshot)\n//\t current.wal (WAL format: append-only per-entry log)\n//\t host002/\n//\t ...\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"io/fs\"\n\t\"os\"\n\t\"path\"\n\t\"path/filepath\"\n\t\"sort\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n)\n\n// CheckpointMetrics represents metric data in a checkpoint file.\n// Whenever the structure changes, update MarshalJSON as well!\ntype CheckpointMetrics struct {\n\tData []schema.Float `json:\"data\"`\n\tFrequency int64 `json:\"frequency\"`\n\tStart int64 `json:\"start\"`\n}\n\n// CheckpointFile represents the hierarchical structure of a checkpoint file.\n// It mirrors the Level tree structure from the MemoryStore.\ntype CheckpointFile struct {\n\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n\tChildren map[string]*CheckpointFile `json:\"children\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n}\n\n// lastCheckpoint tracks the timestamp of the last checkpoint creation.\nvar (\n\tlastCheckpoint time.Time\n\tlastCheckpointMu sync.Mutex\n)\n\n// Checkpointing starts a background worker that periodically saves metric data to disk.\n//\n// Checkpoints are written every 12 hours (hardcoded).\n//\n// Format behaviour:\n// - \"json\": Periodic checkpointing every checkpointInterval\n// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\nfunc Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n\tlastCheckpointMu.Lock()\n\tlastCheckpoint = time.Now()\n\tlastCheckpointMu.Unlock()\n\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\n\t\tconst checkpointInterval = 12 * time.Hour\n\t\td := checkpointInterval\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\tfrom := lastCheckpoint\n\t\t\t\tlastCheckpointMu.Unlock()\n\n\t\t\t\tnow := time.Now()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n\n\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n\t\t\t\t\t\tRotateWALFiles(hostDirs)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n//\n// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n// This method manually constructs JSON to avoid allocations and interface conversions.\nfunc (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n\tbuf = append(buf, `{\"frequency\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n\tbuf = append(buf, `,\"start\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n\tbuf = append(buf, `,\"data\":[`...)\n\tfor i, x := range cm.Data {\n\t\tif i != 0 {\n\t\t\tbuf = append(buf, ',')\n\t\t}\n\t\tif x.IsNaN() {\n\t\t\tbuf = append(buf, `null`...)\n\t\t} else {\n\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n\t\t}\n\t}\n\tbuf = append(buf, `]}`...)\n\treturn buf, nil\n}\n\n// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n//\n// Metrics at root and cluster levels are skipped. One file per host is created.\n// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n// at a time, allowing concurrent writes/reads to other hosts.\n//\n// Returns the number of checkpoint files created and any errors encountered.\nfunc (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n\t// Pre-calculate capacity by counting cluster/host pairs\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\tdir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\n\t\t\tfor workItem := range work {\n\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := 0; i < len(levels); i++ {\n\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\tdir: dir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n// Skips metrics that are already archived. Returns nil if no unarchived data exists.\nfunc (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tretval := &CheckpointFile{\n\t\tFrom: from,\n\t\tTo: to,\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfor metric, minfo := range m.Metrics {\n\t\tb := l.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\tallArchived := true\n\t\tb.iterFromTo(from, to, func(b *buffer) error {\n\t\t\tif !b.archived {\n\t\t\t\tallArchived = false\n\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n\t\t\t}\n\t\t\treturn nil\n\t\t})\n\n\t\tif allArchived {\n\t\t\tcontinue\n\t\t}\n\n\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n\t\tdata, start, end, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n\t\t\tdata[i] = schema.NaN\n\t\t}\n\n\t\tretval.Metrics[metric] = &CheckpointMetrics{\n\t\t\tFrequency: b.frequency,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tfor name, child := range l.children {\n\t\tval, err := child.toCheckpointFile(from, to, m)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif val != nil {\n\t\t\tretval.Children[name] = val\n\t\t}\n\t}\n\n\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n\t\treturn nil, nil\n\t}\n\n\treturn retval, nil\n}\n\n// toCheckpoint writes a Level's data to a JSON checkpoint file.\n// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\nfunc (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil && os.IsNotExist(err) {\n\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err == nil {\n\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\t\t}\n\t}\n\tif err != nil {\n\t\treturn err\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriter(f)\n\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n\t\treturn err\n\t}\n\n\treturn bw.Flush()\n}\n\n// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n// Returns error if directory structure is invalid.\nfunc enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n\tclustersDir, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, clusterDir := range clustersDir {\n\t\tif !clusterDir.IsDir() {\n\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n\t\t}\n\n\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, hostDir := range hostsDir {\n\t\t\tif !hostDir.IsDir() {\n\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n\t\t\t}\n\n\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n//\n// Uses worker pool to load cluster/host combinations. Returns number of files\n// loaded and any errors.\nfunc (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n\tvar wg sync.WaitGroup\n\twork := make(chan [2]string, Keys.NumWorkers*4)\n\tn, errs := int32(0), int32(0)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor host := range work {\n\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t}\n\t\t\t\tatomic.AddInt32(&n, int32(nn))\n\t\t\t}\n\t\t}()\n\t}\n\n\terr := enqueueCheckpointHosts(dir, work)\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n//\n// Creates checkpoint directory if it doesn't exist. This function must be called\n// before any writes or reads, and can only be called once.\nfunc (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n\t\t}\n\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n\t}\n\n\treturn m.FromCheckpoint(dir, from)\n}\n\nfunc (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\tcf := &CheckpointFile{}\n\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\treturn err\n\t}\n\n\tif cf.To != 0 && cf.To < from {\n\t\treturn nil\n\t}\n\n\tif err := l.loadFile(cf, m); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n\tfor name, metric := range cf.Metrics {\n\t\tn := len(metric.Data)\n\t\tb := &buffer{\n\t\t\tfrequency: metric.Frequency,\n\t\t\tstart: metric.Start,\n\t\t\tdata: metric.Data[0:n:n],\n\t\t\tprev: nil,\n\t\t\tnext: nil,\n\t\t\tarchived: true,\n\t\t}\n\n\t\tminfo, ok := m.Metrics[name]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tprev := l.metrics[minfo.offset]\n\t\tif prev == nil {\n\t\t\tl.metrics[minfo.offset] = b\n\t\t} else {\n\t\t\tif prev.start > b.start {\n\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n\t\t\t}\n\n\t\t\tb.prev = prev\n\t\t\tprev.next = b\n\t\t}\n\t\tl.metrics[minfo.offset] = b\n\t}\n\n\tif len(cf.Children) > 0 && l.children == nil {\n\t\tl.children = make(map[string]*Level)\n\t}\n\n\tfor sel, childCf := range cf.Children {\n\t\tchild, ok := l.children[sel]\n\t\tif !ok {\n\t\t\tchild = &Level{\n\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n\t\t\t\tchildren: nil,\n\t\t\t}\n\t\t\tl.children[sel] = child\n\t\t}\n\n\t\tif err := child.loadFile(childCf, m); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n// single host directory. Snapshot files are loaded first (sorted by timestamp),\n// then current.wal is replayed on top.\nfunc (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n\tdirentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn 0, nil\n\t\t}\n\t\treturn 0, err\n\t}\n\n\tallFiles := make([]fs.DirEntry, 0)\n\tvar walEntry fs.DirEntry\n\tfilesLoaded := 0\n\n\tfor _, e := range direntries {\n\t\tif e.IsDir() {\n\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n\t\t\t// These are ignored; their data is not loaded.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n\t\t\tcontinue\n\t\t}\n\n\t\tname := e.Name()\n\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n\t\t\tallFiles = append(allFiles, e)\n\t\t} else if name == \"current.wal\" {\n\t\t\twalEntry = e\n\t\t}\n\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n\t}\n\n\tfiles, err := findFiles(allFiles, from, true)\n\tif err != nil {\n\t\treturn filesLoaded, err\n\t}\n\n\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n\t\t\".json\": l.loadJSONFile,\n\t\t\".bin\": l.loadBinaryFile,\n\t}\n\n\tfor _, filename := range files {\n\t\text := filepath.Ext(filename)\n\t\tloader := loaders[ext]\n\t\tif loader == nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n\t\t\tcontinue\n\t\t}\n\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, filename))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn loader(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\treturn filesLoaded, err\n\t\t}\n\t\tfilesLoaded++\n\t}\n\n\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n\tif walEntry != nil {\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn l.loadWALFile(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n\t\t} else {\n\t\t\tfilesLoaded++\n\t\t}\n\t}\n\n\treturn filesLoaded, nil\n}\n\n// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n// Supports \".json\" (format: \".json\") and \".bin\" (format: \".bin\").\nfunc parseTimestampFromFilename(name string) (int64, error) {\n\tswitch {\n\tcase strings.HasSuffix(name, \".json\"):\n\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n\tcase strings.HasSuffix(name, \".bin\"):\n\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n\tdefault:\n\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n\t}\n}\n\n// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n// last file before t if t falls between two files).\nfunc findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n\tnums := map[string]int64{}\n\tfor _, e := range direntries {\n\t\tname := e.Name()\n\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tts, err := parseTimestampFromFilename(name)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tnums[name] = ts\n\t}\n\n\tsort.Slice(direntries, func(i, j int) bool {\n\t\ta, b := direntries[i], direntries[j]\n\t\treturn nums[a.Name()] < nums[b.Name()]\n\t})\n\n\tif len(nums) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfilenames := make([]string, 0)\n\n\tfor i, e := range direntries {\n\t\tts1 := nums[e.Name()]\n\n\t\tif findMoreRecentFiles && t <= ts1 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t}\n\n\t\tif i == len(direntries)-1 {\n\t\t\tcontinue\n\t\t}\n\n\t\tenext := direntries[i+1]\n\t\tts2 := nums[enext.Name()]\n\n\t\tif findMoreRecentFiles {\n\t\t\tif ts1 < t && t < ts2 {\n\t\t\t\tfilenames = append(filenames, e.Name())\n\t\t\t}\n\t\t}\n\t}\n\n\treturn filenames, nil\n}\n","numLines":663,"startLine":1,"totalLines":663}},"sourceToolAssistantUUID":"76f05b12-e874-46cd-9175-0f2f9612e301","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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Let me apply all the fixes."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":37147,"cache_read_input_tokens":20212,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":37147},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzihb5YbwH3qMnjrqqNJ","type":"assistant","uuid":"04000f4f-08d4-406b-a0d7-d2dd7b7eba14","timestamp":"2026-03-13T07:55:01.901Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","snapshot":{"messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v1","version":1,"backupTime":"2026-03-13T07:55:05.145Z"}},"timestamp":"2026-03-13T07:54:47.759Z"},"isSnapshotUpdate":true} +{"parentUuid":"04000f4f-08d4-406b-a0d7-d2dd7b7eba14","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HVK9JYxHA49WEKBuiNQPiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019R6RQMGUShLzT4RJE7XYnY","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","new_string":"\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":37147,"cache_read_input_tokens":20212,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":37147},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzihb5YbwH3qMnjrqqNJ","type":"assistant","uuid":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","timestamp":"2026-03-13T07:55:05.135Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_019R6RQMGUShLzT4RJE7XYnY","toolUseID":"toolu_019R6RQMGUShLzT4RJE7XYnY","timestamp":"2026-03-13T07:55:05.146Z","uuid":"5cba64e3-5dc4-46a7-81a9-d8d127182f9a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019R6RQMGUShLzT4RJE7XYnY","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"4c4e74ce-8707-428f-a6f3-70d4d155bfd0","timestamp":"2026-03-13T07:55:05.146Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","newString":"\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":201,"oldLines":12,"newStart":201,"newLines":12,"lines":[" }"," "," for key, child := range l.children {","- m, err := child.free(t)","+ m, empty, err := child.freeAndCheckEmpty(t)"," n += m"," if err != nil {"," return n, 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len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 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successfully."}]},"uuid":"656af9cd-adcc-49eb-9d27-e990b5f97cc8","timestamp":"2026-03-13T07:55:12.733Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}","newString":"// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":214,"oldLines":6,"newStart":214,"newLines":54,"lines":[" return n, nil"," }"," ","+// freeAndCheckEmpty performs free() and atomically checks if the level is empty","+// while still holding its own lock, avoiding a TOCTOU race between free() and","+// a separate isEmpty() call.","+func (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {","+ l.lock.Lock()","+ defer l.lock.Unlock()","+","+ n := 0","+ for i, b := range l.metrics {","+ if b != nil {","+ delme, m := b.free(t)","+ n += m","+ if delme {","+ if cap(b.data) != BufferCap {","+ b.data = make([]schema.Float, 0, BufferCap)","+ }","+ b.lastUsed = time.Now().Unix()","+ bufferPool.Put(b)","+ l.metrics[i] = nil","+ }","+ }","+ }","+","+ for key, child := range l.children {","+ m, empty, err := child.freeAndCheckEmpty(t)","+ n += m","+ if err != nil {","+ return n, false, err","+ }","+ if empty {","+ delete(l.children, key)","+ }","+ }","+","+ // Check emptiness while still holding the lock","+ empty := len(l.children) == 0","+ if empty {","+ for _, b := range l.metrics {","+ if b != nil {","+ empty = false","+ break","+ }","+ }","+ }","+","+ return n, empty, nil","+}","+"," // isEmpty returns true if this level has no metrics and no children."," func (l *Level) isEmpty() bool {"," l.lock.RLock()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9a6caef-0095-4614-9a0b-a46df3e7657d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"cb6037d5-b668-45f7-9d79-aaca67130e69","snapshot":{"messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v1","version":1,"backupTime":"2026-03-13T07:55:05.145Z"},"pkg/metricstore/stats.go":{"backupFileName":"3fe420c4b160c1a8@v1","version":1,"backupTime":"2026-03-13T07:55:14.264Z"}},"timestamp":"2026-03-13T07:54:47.759Z"},"isSnapshotUpdate":true} +{"parentUuid":"656af9cd-adcc-49eb-9d27-e990b5f97cc8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HVK9JYxHA49WEKBuiNQPiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011ygzgomrXvgsjCatFv59yX","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/stats.go","old_string":"\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = 0\n\t\t}","new_string":"\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = int((t - 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b.start) / b.frequency)\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype Stats struct {\n\tSamples int\n\tAvg schema.Float\n\tMin schema.Float\n\tMax schema.Float\n}\n\nfunc (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n\tif from < b.start {\n\t\tif b.prev != nil {\n\t\t\treturn b.prev.stats(from, to)\n\t\t}\n\t\tfrom = b.start\n\t}\n\n\t// TODO: Check if b.closed and if so and the full buffer is queried,\n\t// use b.statistics instead of iterating over the buffer.\n\n\tsamples := 0\n\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n\n\tvar t int64\n\tfor t = from; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = 0\n\t\t}\n\n\t\tif t < b.start || idx >= len(b.data) {\n\t\t\tcontinue\n\t\t}\n\n\t\txf := float64(b.data[idx])\n\t\tif math.IsNaN(xf) {\n\t\t\tcontinue\n\t\t}\n\n\t\tsamples += 1\n\t\tsum += xf\n\t\tmin = math.Min(min, xf)\n\t\tmax = math.Max(max, xf)\n\t}\n\n\treturn Stats{\n\t\tSamples: samples,\n\t\tAvg: schema.Float(sum) / schema.Float(samples),\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, t, nil\n}\n\n// Returns statistics for the requested metric on the selected node/level.\n// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n// If `Stats.Samples` is zero, the statistics should not be considered as valid.\nfunc (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n\t}\n\n\tn, samples := 0, 0\n\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tstats, cfrom, cto, err := b.stats(from, to)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto {\n\t\t\treturn ErrDataDoesNotAlign\n\t\t}\n\n\t\tsamples += stats.Samples\n\t\tavg += stats.Avg\n\t\tmin = math.Min(min, float64(stats.Min))\n\t\tmax = math.Max(max, float64(stats.Max))\n\t\tn += 1\n\t\treturn nil\n\t})\n\tif err != nil {\n\t\treturn nil, 0, 0, err\n\t}\n\n\tif n == 0 {\n\t\treturn nil, 0, 0, ErrNoData\n\t}\n\n\tif minfo.Aggregation == AvgAggregation {\n\t\tavg /= schema.Float(n)\n\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n\t}\n\n\treturn &Stats{\n\t\tSamples: samples,\n\t\tAvg: avg,\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, to, nil\n}\n","structuredPatch":[{"oldStart":42,"oldLines":7,"newStart":42,"newLines":7,"lines":[" if b == nil {"," break"," }","- idx = 0","+ idx = int((t - 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError *string `json:\"error,omitempty\"`\n\tData schema.FloatArray `json:\"data,omitempty\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tResolution int64 `json:\"resolution\"`\n\tAvg schema.Float `json:\"avg\"`\n\tMin schema.Float `json:\"min\"`\n\tMax schema.Float `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n// 1. Explicit queries via the Queries field\n// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster string `json:\"cluster\"`\n\tQueries []APIQuery `json:\"queries\"`\n\tForAllNodes []string `json:\"for-all-nodes\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tWithStats bool `json:\"with-stats\"`\n\tWithData bool `json:\"with-data\"`\n\tWithPadding bool `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n// - Hostname: The node to query\n// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType *string `json:\"type,omitempty\"`\n\tSubType *string `json:\"subtype,omitempty\"`\n\tMetric string `json:\"metric\"`\n\tHostname string `json:\"host\"`\n\tResolution int64 `json:\"resolution\"`\n\tTypeIds []string `json:\"type-ids,omitempty\"`\n\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate bool `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 0 || f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n// - ms: MemoryStore instance to lookup metric configuration\n// - from: The requested start timestamp\n// - to: The requested end timestamp (unused but kept for API consistency)\n// - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n// - Individual queries via req.Queries\n// - Batch queries for all nodes via req.ForAllNodes\n// - Hierarchical selector construction (cluster → host → type → subtype)\n// - Optional statistics computation (avg, min, max)\n// - Optional data scaling\n// - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n// - req: The query request containing queries, time range, and options\n//\n// Returns:\n// - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n// - ErrInvalidTimeRange if req.From > req.To\n// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n// - Error if MemoryStore is not initialized\n// - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric: metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","structuredPatch":[{"oldStart":127,"oldLines":7,"newStart":127,"newLines":7,"lines":[" // This is commonly used for unit conversion (e.g., bytes to gigabytes)."," // Scaling by 0 or 1 is a no-op for performance reasons."," func (data *APIMetricData) ScaleBy(f schema.Float) {","- if f == 0 || f == 1 {","+ if f == 1 {"," return"," }"," 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{\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc, ok := m.Metrics[metricName]\n\t\tif !ok {\n\t\t\tcontinue // unknown metric, will be reported as missing\n\t\t}\n\t\tb := l.metrics[mc.offset]"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":37147,"cache_read_input_tokens":20212,"output_tokens":1893,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":37147,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzihb5YbwH3qMnjrqqNJ","type":"assistant","uuid":"be27b055-2fff-46c3-991a-df976f7cf6aa","timestamp":"2026-03-13T07:55:19.783Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HealthCheckResponse represents the result of a health check operation.\ntype HealthCheckResponse struct {\n\tStatus schema.MonitoringState\n\tError error\n}\n\n// HealthCheckResult holds the monitoring state and raw JSON health metrics\n// for a single node as determined by HealthCheck.\ntype HealthCheckResult struct {\n\tState schema.MonitoringState\n\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n}\n\n// MaxMissingDataPoints is the threshold for stale data detection.\n// A buffer is considered healthy if the gap between its last data point\n// and the current time is within MaxMissingDataPoints * frequency.\nconst MaxMissingDataPoints int64 = 5\n\n// bufferExists returns true if the buffer is non-nil and contains data.\nfunc (b *buffer) bufferExists() bool {\n\tif b == nil || b.data == nil || len(b.data) == 0 {\n\t\treturn false\n\t}\n\n\treturn true\n}\n\n// isBufferHealthy returns true if the buffer has recent data within\n// MaxMissingDataPoints * frequency of the current time.\nfunc (b *buffer) isBufferHealthy() bool {\n\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n\tt := time.Now().Unix()\n\n\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n}\n\n// collectMetricStatus walks the subtree rooted at l and classifies each\n// expected metric into the healthy or degraded map.\n//\n// Classification rules (evaluated per buffer, pessimistic):\n// - A single stale buffer marks the metric as degraded permanently.\n// - A healthy buffer only counts if no stale buffer has been seen.\n// - Metrics absent from the global config or without any buffer remain\n// in neither map and are later reported as missing.\nfunc (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc := m.Metrics[metricName]\n\t\tb := l.metrics[mc.offset]\n\t\tif b.bufferExists() {\n\t\t\tif !b.isBufferHealthy() {\n\t\t\t\tdegraded[metricName] = true\n\t\t\t\tdelete(healthy, metricName)\n\t\t\t} else if !degraded[metricName] {\n\t\t\t\thealthy[metricName] = true\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, lvl := range l.children {\n\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\t}\n}\n\n// getHealthyMetrics walks the complete subtree rooted at l and classifies\n// each expected metric by comparing the collected status against the\n// expected list.\n//\n// Returns:\n// - missingList: metrics not found in global config or without any buffer\n// - degradedList: metrics with at least one stale buffer in the subtree\nfunc (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n\thealthy := make(map[string]bool, len(expectedMetrics))\n\tdegraded := make(map[string]bool)\n\n\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\n\tmissingList := make([]string, 0)\n\tdegradedList := make([]string, 0)\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif healthy[metricName] {\n\t\t\tcontinue\n\t\t}\n\n\t\tif degraded[metricName] {\n\t\t\tdegradedList = append(degradedList, metricName)\n\t\t} else {\n\t\t\tmissingList = append(missingList, metricName)\n\t\t}\n\t}\n\n\treturn degradedList, missingList\n}\n\n// GetHealthyMetrics returns missing and degraded metric lists for a node.\n//\n// It walks the metric tree starting from the node identified by selector\n// and classifies each expected metric:\n// - Missing: no buffer anywhere in the subtree, or metric not in global config\n// - Degraded: at least one stale buffer exists in the subtree\n//\n// Metrics present in expectedMetrics but absent from both returned lists\n// are considered fully healthy.\nfunc (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n\tlvl := m.root.findLevel(selector)\n\tif lvl == nil {\n\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n\t}\n\n\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n\treturn degradedList, missingList, nil\n}\n\ntype HealthCheckReq struct {\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n\tNodes []string `json:\"nodes\"`\n\tMetricNames []string `json:\"metric-names\"`\n}\n\n// HealthCheck evaluates multiple nodes against a set of expected metrics\n// and returns a monitoring state per node.\n//\n// States:\n// - MonitoringStateFull: all expected metrics are healthy\n// - MonitoringStatePartial: some metrics are missing or degraded\n// - MonitoringStateFailed: node not found, or no healthy metrics at all\nfunc (m *MemoryStore) HealthCheck(cluster string,\n\tnodes []string, expectedMetrics []string,\n) (map[string]HealthCheckResult, error) {\n\tresults := make(map[string]HealthCheckResult, len(nodes))\n\n\tfor _, hostname := range nodes {\n\t\tselector := []string{cluster, hostname}\n\n\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n\t\tif err != nil {\n\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n\t\t\tcontinue\n\t\t}\n\n\t\tdegradedCount := len(degradedList)\n\t\tmissingCount := len(missingList)\n\n\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n\n\t\tif degradedCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n\t\t}\n\t\tif missingCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n\t\t}\n\n\t\tvar state schema.MonitoringState\n\t\tswitch {\n\t\tcase degradedCount == 0 && missingCount == 0:\n\t\t\tstate = schema.MonitoringStateFull\n\t\tcase healthyCount == 0:\n\t\t\tstate = schema.MonitoringStateFailed\n\t\tdefault:\n\t\t\tstate = schema.MonitoringStatePartial\n\t\t}\n\n\t\thm, _ := json.Marshal(map[string][]string{\n\t\t\t\"missing\": missingList,\n\t\t\t\"degraded\": degradedList,\n\t\t})\n\n\t\tresults[hostname] = HealthCheckResult{\n\t\t\tState: state,\n\t\t\tHealthMetrics: string(hm),\n\t\t}\n\t}\n\n\treturn results, nil\n}\n","structuredPatch":[{"oldStart":66,"oldLines":7,"newStart":66,"newLines":10,"lines":[" if degraded[metricName] {"," continue // already degraded, cannot improve"," }","- mc := m.Metrics[metricName]","+ mc, ok := m.Metrics[metricName]","+ if !ok {","+ continue // unknown metric, will be reported as missing","+ }"," b := l.metrics[mc.offset]"," if b.bufferExists() {"," if !b.isBufferHealthy() {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be27b055-2fff-46c3-991a-df976f7cf6aa","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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+{"parentUuid":"b371e875-a05f-4707-8bc5-89ddf9fe6c28","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RtpSP3TgcbjSZohnPZvD3M","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the current state of level.go to understand the compilation error."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2579,"cache_read_input_tokens":57359,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2579},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzijUzV7d12MoUR431jw","type":"assistant","uuid":"0697f998-e60c-4357-b1c9-bc1c0c56667f","timestamp":"2026-03-13T07:55:28.089Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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+{"parentUuid":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01U4rLP8EQjr8N96X7Ur292s","toolUseID":"toolu_01U4rLP8EQjr8N96X7Ur292s","timestamp":"2026-03-13T07:55:28.505Z","uuid":"6615f19a-51a2-49db-bba8-cde37abf3791","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U4rLP8EQjr8N96X7Ur292s","type":"tool_result","content":" 170→\n 171→// free removes buffers older than the retention threshold from the entire subtree.\n 172→//\n 173→// Recursively frees buffers in this level's metrics and all child levels. Buffers\n 174→// with standard capacity (BufferCap) are returned to the pool. Called by the\n 175→// retention worker to enforce retention policies.\n 176→//\n 177→// Parameters:\n 178→// - t: Retention threshold timestamp (Unix seconds)\n 179→//\n 180→// Returns:\n 181→// - int: Total number of buffers freed in this subtree\n 182→// - error: Non-nil on failure (propagated from children)\n 183→func (l *Level) free(t int64) (int, error) {\n 184→\tl.lock.Lock()\n 185→\tdefer l.lock.Unlock()\n 186→\n 187→\tn := 0\n 188→\tfor i, b := range l.metrics {\n 189→\t\tif b != nil {\n 190→\t\t\tdelme, m := b.free(t)\n 191→\t\t\tn += m\n 192→\t\t\tif delme {\n 193→\t\t\t\tif cap(b.data) != BufferCap {\n 194→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 195→\t\t\t\t}\n 196→\t\t\t\tb.lastUsed = time.Now().Unix()\n 197→\t\t\t\tbufferPool.Put(b)\n 198→\t\t\t\tl.metrics[i] = nil\n 199→\t\t\t}\n 200→\t\t}\n 201→\t}\n 202→\n 203→\tfor key, child := range l.children {\n 204→\t\tm, empty, err := child.freeAndCheckEmpty(t)\n 205→\t\tn += m\n 206→\t\tif err != nil {\n 207→\t\t\treturn n, err\n 208→\t\t}\n 209→\t\tif empty {\n 210→\t\t\tdelete(l.children, key)\n 211→\t\t}\n 212→\t}\n 213→\n 214→\treturn n, nil\n 215→}\n 216→\n 217→// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n 218→// while still holding its own lock, avoiding a TOCTOU race between free() and\n 219→// a separate isEmpty() call.\n 220→func (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n 221→\tl.lock.Lock()\n 222→\tdefer l.lock.Unlock()\n 223→\n 224→\tn := 0\n 225→\tfor i, b := range l.metrics {\n 226→\t\tif b != nil {\n 227→\t\t\tdelme, m := b.free(t)\n 228→\t\t\tn += m\n 229→\t\t\tif delme {\n 230→\t\t\t\tif cap(b.data) != BufferCap {\n 231→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 232→\t\t\t\t}\n 233→\t\t\t\tb.lastUsed = time.Now().Unix()\n 234→\t\t\t\tbufferPool.Put(b)\n 235→\t\t\t\tl.metrics[i] = nil\n 236→\t\t\t}\n 237→\t\t}\n 238→\t}\n 239→\n 240→\tfor key, child := range l.children {\n 241→\t\tm, empty, err := child.freeAndCheckEmpty(t)\n 242→\t\tn += m\n 243→\t\tif err != nil {\n 244→\t\t\treturn n, false, err\n 245→\t\t}\n 246→\t\tif empty {\n 247→\t\t\tdelete(l.children, key)\n 248→\t\t}\n 249→\t}\n 250→\n 251→\t// Check emptiness while still holding the lock\n 252→\tempty := len(l.children) == 0\n 253→\tif empty {\n 254→\t\tfor _, b := range l.metrics {\n 255→\t\t\tif b != nil {\n 256→\t\t\t\tempty = false\n 257→\t\t\t\tbreak\n 258→\t\t\t}\n 259→\t\t}\n 260→\t}\n 261→\n 262→\treturn n, empty, nil\n 263→}\n 264→\n 265→// isEmpty returns true if this level has no metrics and no children.\n 266→func (l *Level) isEmpty() bool {\n 267→\tl.lock.RLock()\n 268→\tdefer l.lock.RUnlock()\n 269→\n 270→\tfor _, b := range l.metrics {\n 271→\t\tif b != nil {\n 272→\t\t\treturn false\n 273→\t\t}\n 274→\t}\n 275→\treturn len(l.children) == 0\n 276→}\n 277→\n 278→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 279→//"}]},"uuid":"b1c1eb0e-0770-413c-b094-9dbe341a8111","timestamp":"2026-03-13T07:55:28.505Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//","numLines":110,"startLine":170,"totalLines":459}},"sourceToolAssistantUUID":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b1c1eb0e-0770-413c-b094-9dbe341a8111","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011Hr8cfFEVqFLYzJzRz7nK2","type":"message","role":"assistant","content":[{"type":"text","text":"The code looks correct - `freeAndCheckEmpty` is defined on `*Level`. The diagnostic may be a stale LSP issue. Let me verify it compiles, and also now apply the Improvement 2 (configurable checkpoint interval)."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1528,"cache_read_input_tokens":59938,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1528},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzik8BcuguDjxqznrdZz","type":"assistant","uuid":"3b2f768d-8e09-4a1d-a039-a0d522aa34a5","timestamp":"2026-03-13T07:55:33.550Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements checkpoint persistence for the in-memory metric store.\n//\n// Checkpoints enable graceful restarts by periodically saving in-memory metric\n// data to disk in JSON or binary format. The checkpoint system:\n//\n// Key Features:\n// - Periodic background checkpointing via the Checkpointing() worker\n// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n// - Parallel checkpoint creation and loading using worker pools\n// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n// - Only saves unarchived data (archived data is already persisted elsewhere)\n// - GC optimization during loading to prevent excessive heap growth\n//\n// Checkpoint Workflow:\n// 1. Init() loads checkpoints within retention window at startup\n// 2. Checkpointing() worker periodically saves new data\n// 3. Shutdown() writes final checkpoint before exit\n//\n// File Organization:\n//\n//\tcheckpoints/\n//\t cluster1/\n//\t host001/\n//\t 1234567890.json (JSON format: full subtree snapshot)\n//\t 1234567890.bin (binary format: full subtree snapshot)\n//\t current.wal (WAL format: append-only per-entry log)\n//\t host002/\n//\t ...\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"io/fs\"\n\t\"os\"\n\t\"path\"\n\t\"path/filepath\"\n\t\"sort\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n)\n\n// CheckpointMetrics represents metric data in a checkpoint file.\n// Whenever the structure changes, update MarshalJSON as well!\ntype CheckpointMetrics struct {\n\tData []schema.Float `json:\"data\"`\n\tFrequency int64 `json:\"frequency\"`\n\tStart int64 `json:\"start\"`\n}\n\n// CheckpointFile represents the hierarchical structure of a checkpoint file.\n// It mirrors the Level tree structure from the MemoryStore.\ntype CheckpointFile struct {\n\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n\tChildren map[string]*CheckpointFile `json:\"children\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n}\n\n// lastCheckpoint tracks the timestamp of the last checkpoint creation.\nvar (\n\tlastCheckpoint time.Time\n\tlastCheckpointMu sync.Mutex\n)\n\n// Checkpointing starts a background worker that periodically saves metric data to disk.\n//\n// Checkpoints are written every 12 hours (hardcoded).\n//\n// Format behaviour:\n// - \"json\": Periodic checkpointing every checkpointInterval\n// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\nfunc Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n\tlastCheckpointMu.Lock()\n\tlastCheckpoint = time.Now()\n\tlastCheckpointMu.Unlock()\n\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\n\t\tconst checkpointInterval = 12 * time.Hour\n\t\td := checkpointInterval\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\tfrom := lastCheckpoint\n\t\t\t\tlastCheckpointMu.Unlock()\n\n\t\t\t\tnow := time.Now()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n\n\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n\t\t\t\t\t\tRotateWALFiles(hostDirs)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n//\n// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n// This method manually constructs JSON to avoid allocations and interface conversions.\nfunc (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n\tbuf = append(buf, `{\"frequency\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n\tbuf = append(buf, `,\"start\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n\tbuf = append(buf, `,\"data\":[`...)\n\tfor i, x := range cm.Data {\n\t\tif i != 0 {\n\t\t\tbuf = append(buf, ',')\n\t\t}\n\t\tif x.IsNaN() {\n\t\t\tbuf = append(buf, `null`...)\n\t\t} else {\n\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n\t\t}\n\t}\n\tbuf = append(buf, `]}`...)\n\treturn buf, nil\n}\n\n// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n//\n// Metrics at root and cluster levels are skipped. One file per host is created.\n// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n// at a time, allowing concurrent writes/reads to other hosts.\n//\n// Returns the number of checkpoint files created and any errors encountered.\nfunc (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n\t// Pre-calculate capacity by counting cluster/host pairs\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\tdir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\n\t\t\tfor workItem := range work {\n\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := 0; i < len(levels); i++ {\n\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\tdir: dir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n// Skips metrics that are already archived. Returns nil if no unarchived data exists.\nfunc (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tretval := &CheckpointFile{\n\t\tFrom: from,\n\t\tTo: to,\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfor metric, minfo := range m.Metrics {\n\t\tb := l.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\tallArchived := true\n\t\tb.iterFromTo(from, to, func(b *buffer) error {\n\t\t\tif !b.archived {\n\t\t\t\tallArchived = false\n\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n\t\t\t}\n\t\t\treturn nil\n\t\t})\n\n\t\tif allArchived {\n\t\t\tcontinue\n\t\t}\n\n\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n\t\tdata, start, end, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n\t\t\tdata[i] = schema.NaN\n\t\t}\n\n\t\tretval.Metrics[metric] = &CheckpointMetrics{\n\t\t\tFrequency: b.frequency,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tfor name, child := range l.children {\n\t\tval, err := child.toCheckpointFile(from, to, m)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif val != nil {\n\t\t\tretval.Children[name] = val\n\t\t}\n\t}\n\n\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n\t\treturn nil, nil\n\t}\n\n\treturn retval, nil\n}\n\n// toCheckpoint writes a Level's data to a JSON checkpoint file.\n// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\nfunc (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil && os.IsNotExist(err) {\n\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err == nil {\n\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\t\t}\n\t}\n\tif err != nil {\n\t\treturn err\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriter(f)\n\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n\t\treturn err\n\t}\n\n\treturn bw.Flush()\n}\n\n// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n// Returns error if directory structure is invalid.\nfunc enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n\tclustersDir, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, clusterDir := range clustersDir {\n\t\tif !clusterDir.IsDir() {\n\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n\t\t}\n\n\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, hostDir := range hostsDir {\n\t\t\tif !hostDir.IsDir() {\n\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n\t\t\t}\n\n\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n//\n// Uses worker pool to load cluster/host combinations. Returns number of files\n// loaded and any errors.\nfunc (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n\tvar wg sync.WaitGroup\n\twork := make(chan [2]string, Keys.NumWorkers*4)\n\tn, errs := int32(0), int32(0)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor host := range work {\n\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t}\n\t\t\t\tatomic.AddInt32(&n, int32(nn))\n\t\t\t}\n\t\t}()\n\t}\n\n\terr := enqueueCheckpointHosts(dir, work)\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n//\n// Creates checkpoint directory if it doesn't exist. This function must be called\n// before any writes or reads, and can only be called once.\nfunc (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n\t\t}\n\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n\t}\n\n\treturn m.FromCheckpoint(dir, from)\n}\n\nfunc (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\tcf := &CheckpointFile{}\n\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\treturn err\n\t}\n\n\tif cf.To != 0 && cf.To < from {\n\t\treturn nil\n\t}\n\n\tif err := l.loadFile(cf, m); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n\tfor name, metric := range cf.Metrics {\n\t\tn := len(metric.Data)\n\t\tb := &buffer{\n\t\t\tfrequency: metric.Frequency,\n\t\t\tstart: metric.Start,\n\t\t\tdata: metric.Data[0:n:n],\n\t\t\tprev: nil,\n\t\t\tnext: nil,\n\t\t\tarchived: true,\n\t\t}\n\n\t\tminfo, ok := m.Metrics[name]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tprev := l.metrics[minfo.offset]\n\t\tif prev == nil {\n\t\t\tl.metrics[minfo.offset] = b\n\t\t} else {\n\t\t\tif prev.start > b.start {\n\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n\t\t\t}\n\n\t\t\tb.prev = prev\n\t\t\tprev.next = b\n\t\t}\n\t\tl.metrics[minfo.offset] = b\n\t}\n\n\tif len(cf.Children) > 0 && l.children == nil {\n\t\tl.children = make(map[string]*Level)\n\t}\n\n\tfor sel, childCf := range cf.Children {\n\t\tchild, ok := l.children[sel]\n\t\tif !ok {\n\t\t\tchild = &Level{\n\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n\t\t\t\tchildren: nil,\n\t\t\t}\n\t\t\tl.children[sel] = child\n\t\t}\n\n\t\tif err := child.loadFile(childCf, m); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n// single host directory. Snapshot files are loaded first (sorted by timestamp),\n// then current.wal is replayed on top.\nfunc (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n\tdirentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn 0, nil\n\t\t}\n\t\treturn 0, err\n\t}\n\n\tallFiles := make([]fs.DirEntry, 0)\n\tvar walEntry fs.DirEntry\n\tfilesLoaded := 0\n\n\tfor _, e := range direntries {\n\t\tif e.IsDir() {\n\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n\t\t\t// These are ignored; their data is not loaded.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n\t\t\tcontinue\n\t\t}\n\n\t\tname := e.Name()\n\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n\t\t\tallFiles = append(allFiles, e)\n\t\t} else if name == \"current.wal\" {\n\t\t\twalEntry = e\n\t\t}\n\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n\t}\n\n\tfiles, err := findFiles(allFiles, from, true)\n\tif err != nil {\n\t\treturn filesLoaded, err\n\t}\n\n\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n\t\t\".json\": l.loadJSONFile,\n\t\t\".bin\": l.loadBinaryFile,\n\t}\n\n\tfor _, filename := range files {\n\t\text := filepath.Ext(filename)\n\t\tloader := loaders[ext]\n\t\tif loader == nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n\t\t\tcontinue\n\t\t}\n\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, filename))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn loader(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\treturn filesLoaded, err\n\t\t}\n\t\tfilesLoaded++\n\t}\n\n\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n\tif walEntry != nil {\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn l.loadWALFile(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n\t\t} else {\n\t\t\tfilesLoaded++\n\t\t}\n\t}\n\n\treturn filesLoaded, nil\n}\n\n// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n// Supports \".json\" (format: \".json\") and \".bin\" (format: \".bin\").\nfunc parseTimestampFromFilename(name string) (int64, error) {\n\tswitch {\n\tcase strings.HasSuffix(name, \".json\"):\n\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n\tcase strings.HasSuffix(name, \".bin\"):\n\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n\tdefault:\n\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n\t}\n}\n\n// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n// last file before t if t falls between two files).\nfunc findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n\tnums := map[string]int64{}\n\tfor _, e := range direntries {\n\t\tname := e.Name()\n\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tts, err := parseTimestampFromFilename(name)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tnums[name] = ts\n\t}\n\n\tsort.Slice(direntries, func(i, j int) bool {\n\t\ta, b := direntries[i], direntries[j]\n\t\treturn nums[a.Name()] < nums[b.Name()]\n\t})\n\n\tif len(nums) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfilenames := make([]string, 0)\n\n\tfor i, e := range direntries {\n\t\tts1 := nums[e.Name()]\n\n\t\tif findMoreRecentFiles && t <= ts1 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t}\n\n\t\tif i == len(direntries)-1 {\n\t\t\tcontinue\n\t\t}\n\n\t\tenext := direntries[i+1]\n\t\tts2 := nums[enext.Name()]\n\n\t\tif findMoreRecentFiles {\n\t\t\tif ts1 < t && t < ts2 {\n\t\t\t\tfilenames = append(filenames, e.Name())\n\t\t\t}\n\t\t}\n\t}\n\n\treturn filenames, nil\n}\n","structuredPatch":[{"oldStart":100,"oldLines":8,"newStart":100,"newLines":15,"lines":[" "," wg.Go(func() {"," ","- const checkpointInterval = 12 * time.Hour","- d := checkpointInterval","+ d := 12 * time.Hour // default checkpoint interval","+ if Keys.CheckpointInterval != \"\" {","+ parsed, err := time.ParseDuration(Keys.CheckpointInterval)","+ if err != nil {","+ cclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)","+ } else {","+ d = parsed","+ }","+ }"," "," ticker := time.NewTicker(d)"," defer ticker.Stop()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1c61dfed-f5f2-4776-b583-2068f16c495a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"741a2696-4b58-472c-8389-dab628df598b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017wUiL7CLXZusPqkuYLQu1V","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me also update the `free()` method to simply delegate to `freeAndCheckEmpty` to avoid code duplication, since `free()` is the public-facing method used by `MemoryStore.Free()`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":925,"cache_read_input_tokens":61466,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":925},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzim8GrQsLjTLEqNFs7g","type":"assistant","uuid":"8f90310e-f916-4c66-aa8e-43de1a63d0b0","timestamp":"2026-03-13T07:55:45.328Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8f90310e-f916-4c66-aa8e-43de1a63d0b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017wUiL7CLXZusPqkuYLQu1V","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012kT1AeDtdmjyZDJa92ZCDw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","new_string":"func (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":925,"cache_read_input_tokens":61466,"output_tokens":473,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":925,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzim8GrQsLjTLEqNFs7g","type":"assistant","uuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","timestamp":"2026-03-13T07:55:49.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_012kT1AeDtdmjyZDJa92ZCDw","toolUseID":"toolu_012kT1AeDtdmjyZDJa92ZCDw","timestamp":"2026-03-13T07:55:49.802Z","uuid":"51dc056d-acd3-4860-ba48-70e03544db56","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012kT1AeDtdmjyZDJa92ZCDw","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"21eaa94b-a7b6-498a-ae85-94355add72c2","timestamp":"2026-03-13T07:55:49.802Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","newString":"func (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":181,"oldLines":37,"newStart":181,"newLines":8,"lines":[" // - int: Total number of buffers freed in this subtree"," // - error: Non-nil on failure (propagated from children)"," func (l *Level) free(t int64) (int, error) {","- l.lock.Lock()","- defer l.lock.Unlock()","-","- n := 0","- for i, b := range l.metrics {","- if b != nil {","- delme, m := b.free(t)","- n += m","- if delme {","- if cap(b.data) != BufferCap {","- b.data = make([]schema.Float, 0, BufferCap)","- }","- b.lastUsed = time.Now().Unix()","- bufferPool.Put(b)","- l.metrics[i] = nil","- }","- }","- }","-","- for key, child := range l.children {","- m, empty, err := child.freeAndCheckEmpty(t)","- n += m","- if err != nil {","- return n, err","- }","- if empty {","- delete(l.children, key)","- }","- }","-","- return n, nil","+ n, _, err := l.freeAndCheckEmpty(t)","+ return n, err"," }"," "," // freeAndCheckEmpty performs free() and atomically checks if the level is empty"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"21eaa94b-a7b6-498a-ae85-94355add72c2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017yPuAEyWhtdfoe8gUqazu6","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify it compiles and run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":62391,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":518},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzimhDFRhHuqj7FWgtNz","type":"assistant","uuid":"c04a2f36-2afe-40f1-b65d-aa571fc16758","timestamp":"2026-03-13T07:55:51.621Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c04a2f36-2afe-40f1-b65d-aa571fc16758","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017yPuAEyWhtdfoe8gUqazu6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RzjbUfQ8knWYnp391TdNGK","name":"Bash","input":{"command":"go build ./pkg/metricstore/...","description":"Build metricstore package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":62391,"output_tokens":113,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzimhDFRhHuqj7FWgtNz","type":"assistant","uuid":"7c7300f2-681f-4737-85aa-09b518529898","timestamp":"2026-03-13T07:55:52.360Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"7c7300f2-681f-4737-85aa-09b518529898","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RzjbUfQ8knWYnp391TdNGK","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"f5aff8cf-c324-4763-9fe0-87db978dcb68","timestamp":"2026-03-13T07:55:52.996Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7c7300f2-681f-4737-85aa-09b518529898","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f5aff8cf-c324-4763-9fe0-87db978dcb68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01K3PnRZBfQQXpY2CpvhJKM3","type":"message","role":"assistant","content":[{"type":"text","text":"Compiles cleanly. The `isEmpty()` warning is expected — it's now unused since `freeAndCheckEmpty` handles it inline. Let me check if `isEmpty` is used anywhere else before removing it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":177,"cache_read_input_tokens":62909,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":177},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzimvtGkBSvrRz8gN7oP","type":"assistant","uuid":"384e1c8b-8588-4b5a-addf-609f6158408e","timestamp":"2026-03-13T07:55:56.278Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"384e1c8b-8588-4b5a-addf-609f6158408e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01K3PnRZBfQQXpY2CpvhJKM3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MfhwKVXcJVpTXsnYexGc84","name":"Grep","input":{"pattern":"isEmpty","path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":177,"cache_read_input_tokens":62909,"output_tokens":138,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":177,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzimvtGkBSvrRz8gN7oP","type":"assistant","uuid":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","timestamp":"2026-03-13T07:55:56.663Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01MfhwKVXcJVpTXsnYexGc84","toolUseID":"toolu_01MfhwKVXcJVpTXsnYexGc84","timestamp":"2026-03-13T07:55:56.695Z","uuid":"25d387b0-8162-4b4a-aa38-2848b35986f1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MfhwKVXcJVpTXsnYexGc84","type":"tool_result","content":"Found 1 file\npkg/metricstore/level.go"}]},"uuid":"349b2ec8-11fa-4d9a-9004-c30e054e1c04","timestamp":"2026-03-13T07:55:56.695Z","toolUseResult":{"mode":"files_with_matches","filenames":["pkg/metricstore/level.go"],"numFiles":1},"sourceToolAssistantUUID":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"349b2ec8-11fa-4d9a-9004-c30e054e1c04","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CksCSJNw7BUGbzEtRu3J2c","type":"message","role":"assistant","content":[{"type":"text","text":"Only used in its own definition. Let me remove it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":275,"cache_read_input_tokens":63086,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":275},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinCj2LW7YCASf9NDuZ","type":"assistant","uuid":"0345c285-8db5-4ac1-a3ef-6996e5544ef5","timestamp":"2026-03-13T07:55:59.456Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0345c285-8db5-4ac1-a3ef-6996e5544ef5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CksCSJNw7BUGbzEtRu3J2c","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017oELaQyXAtCQYm6dB1o3H7","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree","new_string":"// forceFree"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":275,"cache_read_input_tokens":63086,"output_tokens":244,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":275,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzinCj2LW7YCASf9NDuZ","type":"assistant","uuid":"a0fb350d-a11f-4aab-90af-c2b91894a995","timestamp":"2026-03-13T07:56:01.114Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a0fb350d-a11f-4aab-90af-c2b91894a995","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017oELaQyXAtCQYm6dB1o3H7","toolUseID":"toolu_017oELaQyXAtCQYm6dB1o3H7","timestamp":"2026-03-13T07:56:01.159Z","uuid":"91a9b4da-b654-4854-9d6f-f9f965dae115","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a0fb350d-a11f-4aab-90af-c2b91894a995","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017oELaQyXAtCQYm6dB1o3H7","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"8a4abf7e-1e9e-4af3-b763-6f5417bcc21b","timestamp":"2026-03-13T07:56:01.159Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree","newString":"// forceFree","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":233,"oldLines":19,"newStart":233,"newLines":6,"lines":[" return n, empty, nil"," }"," ","-// isEmpty returns true if this level has no metrics and no children.","-func (l *Level) isEmpty() bool {","- l.lock.RLock()","- defer l.lock.RUnlock()","-","- for _, b := range l.metrics {","- if b != nil {","- return false","- }","- }","- return len(l.children) == 0","-}","-"," // forceFree removes the oldest buffer from each metric chain in the subtree."," //"," // Unlike free(), which removes based on time threshold, this unconditionally removes"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a0fb350d-a11f-4aab-90af-c2b91894a995","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8a4abf7e-1e9e-4af3-b763-6f5417bcc21b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CdYSEysaeYngdEMoiz86PX","type":"message","role":"assistant","content":[{"type":"text","text":"Now run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":289,"cache_read_input_tokens":63361,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":289},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinXojQJKN8pTz9Q1Ng","type":"assistant","uuid":"90b7899b-af87-47f7-837e-2adb605c0fa6","timestamp":"2026-03-13T07:56:04.074Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"90b7899b-af87-47f7-837e-2adb605c0fa6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CdYSEysaeYngdEMoiz86PX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKuHsmaNPmHSiywzhufMhr","name":"Bash","input":{"command":"go test ./pkg/metricstore/... 2>&1","description":"Run metricstore tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":289,"cache_read_input_tokens":63361,"output_tokens":129,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":289,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzinXojQJKN8pTz9Q1Ng","type":"assistant","uuid":"14a251da-6458-4251-82d7-82566f2a6afe","timestamp":"2026-03-13T07:56:04.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"14a251da-6458-4251-82d7-82566f2a6afe","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKuHsmaNPmHSiywzhufMhr","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.545s","is_error":false}]},"uuid":"778d670f-c394-4025-9e2c-cefb6aca63a2","timestamp":"2026-03-13T07:56:07.501Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.545s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"14a251da-6458-4251-82d7-82566f2a6afe","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"778d670f-c394-4025-9e2c-cefb6aca63a2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017PPHezUihZzhUxVEJBSaQU","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Let me also check if the config schema validation file needs updating for the new field."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":149,"cache_read_input_tokens":63650,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":149},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinzu9uKHVMdNvWdyrK","type":"assistant","uuid":"3c54923a-b0c0-433c-8fe0-42e2b5025f99","timestamp":"2026-03-13T07:56:10.784Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→const configSchema = `{\n 9→ \"type\": \"object\",\n 10→ \"description\": \"Configuration specific to built-in metric-store.\",\n 11→ \"properties\": {\n 12→ \"num-workers\": {\n 13→ \"description\": \"Number of concurrent workers for checkpoint and archive operations\",\n 14→ \"type\": \"integer\"\n 15→ },\n 16→ \"checkpoints\": {\n 17→ \"description\": \"Configuration for checkpointing the metrics buffers\",\n 18→ \"type\": \"object\",\n 19→ \"properties\": {\n 20→ \"file-format\": {\n 21→ \"description\": \"Specify the format for checkpoint files. Two variants: 'json' (human-readable, periodic) and 'wal' (binary snapshot + Write-Ahead Log, crash-safe). Default is 'wal'.\",\n 22→ \"type\": \"string\"\n 23→ },\n 24→ \"directory\": {\n 25→ \"description\": \"Path in which the checkpointed files should be placed.\",\n 26→ \"type\": \"string\"\n 27→ }\n 28→ }\n 29→ },\n 30→ \"cleanup\": {\n 31→ \"description\": \"Configuration for the cleanup process. The cleanup interval is always 'retention-in-memory'.\",\n 32→ \"type\": \"object\",\n 33→ \"properties\": {\n 34→ \"mode\": {\n 35→ \"description\": \"The operation mode (e.g., 'archive' or 'delete').\",\n 36→ \"type\": \"string\",\n 37→ \"enum\": [\"archive\", \"delete\"]\n 38→ },\n 39→ \"directory\": {\n 40→ \"description\": \"Target directory for archive operations.\",\n 41→ \"type\": \"string\"\n 42→ }\n 43→ },\n 44→ \"if\": {\n 45→ \"properties\": {\n 46→ \"mode\": { \"const\": \"archive\" }\n 47→ }\n 48→ },\n 49→ \"then\": {\n 50→ \"required\": [\"directory\"]\n 51→ }\n 52→ },\n 53→ \"retention-in-memory\": {\n 54→ \"description\": \"Keep the metrics within memory for given time interval. Retention for X hours, then the metrics would be freed.\",\n 55→ \"type\": \"string\"\n 56→ },\n 57→ \"memory-cap\": {\n 58→ \"description\": \"Upper memory capacity limit used by metricstore in GB\",\n 59→ \"type\": \"integer\"\n 60→ },\n 61→ \"nats-subscriptions\": {\n 62→ \"description\": \"Array of various subscriptions. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nconst configSchema = `{\n \"type\": \"object\",\n \"description\": \"Configuration specific to built-in metric-store.\",\n \"properties\": {\n \"num-workers\": {\n \"description\": \"Number of concurrent workers for checkpoint and archive operations\",\n \"type\": \"integer\"\n },\n \"checkpoints\": {\n \"description\": \"Configuration for checkpointing the metrics buffers\",\n \"type\": \"object\",\n \"properties\": {\n \"file-format\": {\n \"description\": \"Specify the format for checkpoint files. Two variants: 'json' (human-readable, periodic) and 'wal' (binary snapshot + Write-Ahead Log, crash-safe). 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Here's a summary of what was implemented:\n\n**Bug fixes:**\n\n1. **Bug 1 — TOCTOU race in `free()`** (`level.go`): Replaced separate `free()` + `isEmpty()` calls with a single `freeAndCheckEmpty()` method that checks emptiness while still holding the lock. `free()` now delegates to it. Removed the now-unused `isEmpty()` method.\n\n2. **Bug 2 — Wrong index after buffer switch in `stats()`** (`stats.go:45`): Changed `idx = 0` to `idx = int((t - b.start) / b.frequency)` to correctly recalculate the position in the next buffer, matching the fix already applied in `buffer.read()`.\n\n3. **Bug 3 — `FreeAll()` not thread-safe** (`metricstore.go:756`): Added `m.root.lock.Lock()`/`Unlock()` around the map iteration and deletion.\n\n4. **Bug 6 — `ScaleBy(0)` is a no-op** (`api.go:130`): Changed `f == 0 || f == 1` to `f == 1` so scaling by 0 correctly zeroes out data.\n\n5. **Bug 7 — `collectMetricStatus` wrong metric for unknown names** (`healthcheck.go:69`): Added `mc, ok := m.Metrics[metricName]; if !ok { continue }` to skip unknown metrics (they'll be reported as missing).\n\n**Improvement:**\n\n6. **Configurable checkpoint interval** (`config.go`, `configSchema.go`, `checkpoint.go`): Added `CheckpointInterval string` field to `MetricStoreConfig` (json: `\"checkpoint-interval,omitempty\"`). When set, `Checkpointing()` parses it with `time.ParseDuration`; defaults to `12h` when empty/unset."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":153,"cache_read_input_tokens":65335,"output_tokens":462,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":153,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzipENJPwwE9Ucz2Davp","type":"assistant","uuid":"67920e75-0595-4a2f-bb0c-72d8a673e9f6","timestamp":"2026-03-13T07:56:36.758Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"67920e75-0595-4a2f-bb0c-72d8a673e9f6","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"dadf61d5-2935-4cd7-a2f5-7d6d54c980af","toolUseID":"dadf61d5-2935-4cd7-a2f5-7d6d54c980af","timestamp":"2026-03-13T07:56:36.790Z","uuid":"365e9c4d-5561-43df-bf62-64a39b684cec","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"365e9c4d-5561-43df-bf62-64a39b684cec","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":659}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-13T07:56:37.449Z","uuid":"cdcb0564-4842-47a1-9dc9-aaadf325b29f","toolUseID":"dadf61d5-2935-4cd7-a2f5-7d6d54c980af","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"cdcb0564-4842-47a1-9dc9-aaadf325b29f","isSidechain":false,"type":"system","subtype":"turn_duration","durationMs":109683,"timestamp":"2026-03-13T07:56:37.450Z","uuid":"b0431a2f-a694-4ac7-add6-8d7ed02ad42f","isMeta":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"60cd4972-5f77-4739-8e73-65d20918d1f4","snapshot":{"messageId":"60cd4972-5f77-4739-8e73-65d20918d1f4","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/stats.go":{"backupFileName":"3fe420c4b160c1a8@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/api.go":{"backupFileName":"562132bad4f769ab@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/healthcheck.go":{"backupFileName":"29f30693ee65fae3@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/checkpoint.go":{"backupFileName":"6cd2cc2f9fa35484@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/configSchema.go":{"backupFileName":"5a1be5ca7fda54fe@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"}},"timestamp":"2026-03-13T08:00:54.220Z"},"isSnapshotUpdate":false} +{"parentUuid":"b0431a2f-a694-4ac7-add6-8d7ed02ad42f","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":"What about the other Improvements. Which ones do you recommend"},"uuid":"60cd4972-5f77-4739-8e73-65d20918d1f4","timestamp":"2026-03-13T08:00:53.626Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"60cd4972-5f77-4739-8e73-65d20918d1f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TGtPYLEukpR66xo7B8mmYY","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the existing plan and the relevant code to evaluate the remaining improvements."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1943,"cache_read_input_tokens":65488,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1943},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjA97qwcpMGu2NmC6NU","type":"assistant","uuid":"3e5c1102-6073-47f2-afd4-929d48780038","timestamp":"2026-03-13T08:00:58.423Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"3e5c1102-6073-47f2-afd4-929d48780038","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TGtPYLEukpR66xo7B8mmYY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0151tuXnUdBy6XbFi2pekKbo","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1943,"cache_read_input_tokens":65488,"output_tokens":88,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1943,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjA97qwcpMGu2NmC6NU","type":"assistant","uuid":"a311705b-e287-417d-be65-48e8319d621c","timestamp":"2026-03-13T08:00:58.543Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a311705b-e287-417d-be65-48e8319d621c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0151tuXnUdBy6XbFi2pekKbo","toolUseID":"toolu_0151tuXnUdBy6XbFi2pekKbo","timestamp":"2026-03-13T08:00:58.558Z","uuid":"a2f5316d-d033-4fca-8502-f3522247114c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a311705b-e287-417d-be65-48e8319d621c","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0151tuXnUdBy6XbFi2pekKbo","type":"tool_result","content":" 1→# Metricstore In-Depth Review: Bugs & Improvements\n 2→\n 3→## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n 4→**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n 5→\n 6→**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n 7→\n 8→## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n 9→**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n 10→\n 11→**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n 12→\n 13→## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n 14→**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n 15→\n 16→**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n 17→\n 18→## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n 19→**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n 20→\n 21→**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n 22→\n 23→## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n 24→**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n 25→\n 26→**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n 27→\n 28→## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n 29→**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n 30→\n 31→**Fix**: Only skip for factor == 1 (identity), not 0.\n 32→\n 33→## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n 34→**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n 35→\n 36→**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n 37→\n 38→## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n 39→**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n 40→**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n 41→\n 42→## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n 43→**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n 44→**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n 45→\n 46→## IMPROVEMENT 3: `MemoryCap` type mismatch\n 47→**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n 48→**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n 49→\n 50→## IMPROVEMENT 4: No WAL size limit\n 51→**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n 52→**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n 53→\n 54→---\n 55→\n 56→## Files to modify\n 57→\n 58→- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n 59→- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n 60→- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n 61→- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n 62→- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n 63→- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n 64→- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n 65→\n 66→## Verification\n 67→```bash\n 68→go test ./pkg/metricstore/...\n 69→```\n 70→"}]},"uuid":"fefc2425-bb31-4b91-a2e9-e4f01b8339af","timestamp":"2026-03-13T08:00:58.558Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","numLines":70,"startLine":1,"totalLines":70}},"sourceToolAssistantUUID":"a311705b-e287-417d-be65-48e8319d621c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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\"current.wal\")\n 145→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n 146→\t\t\tif err != nil {\n 147→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n 148→\t\t\t\treturn nil\n 149→\t\t\t}\n 150→\n 151→\t\t\t// Write file header magic if file is new (empty).\n 152→\t\t\tinfo, err := f.Stat()\n 153→\t\t\tif err == nil && info.Size() == 0 {\n 154→\t\t\t\tvar hdr [4]byte\n 155→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n 156→\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n 157→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n 158→\t\t\t\t\tf.Close()\n 159→\t\t\t\t\treturn nil\n 160→\t\t\t\t}\n 161→\t\t\t}\n 162→\n 163→\t\t\thostFiles[hostDir] = &walFileState{f: f}\n 164→\t\t\treturn f\n 165→\t\t}\n 166→\n 167→\t\tprocessMsg := func(msg *WALMessage) {\n 168→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n 169→\t\t\tf := getOrOpenWAL(hostDir)\n 170→\t\t\tif f == nil {\n 171→\t\t\t\treturn\n 172→\t\t\t}\n 173→\t\t\tif err := writeWALRecord(f, msg); err != nil {\n 174→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n 175→\t\t\t}\n 176→\t\t}\n 177→\n 178→\t\tprocessRotate := func(req walRotateReq) {\n 179→\t\t\tws, ok := hostFiles[req.hostDir]\n 180→\t\t\tif ok && ws.f != nil {\n 181→\t\t\t\tws.f.Close()\n 182→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n 183→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 184→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 185→\t\t\t\t}\n 186→\t\t\t\tdelete(hostFiles, req.hostDir)\n 187→\t\t\t}\n 188→\t\t\tclose(req.done)\n 189→\t\t}\n 190→\n 191→\t\tdrain := func() {\n 192→\t\t\tfor {\n 193→\t\t\t\tselect {\n 194→\t\t\t\tcase msg, ok := <-WALMessages:\n 195→\t\t\t\t\tif !ok {\n 196→\t\t\t\t\t\treturn\n 197→\t\t\t\t\t}\n 198→\t\t\t\t\tprocessMsg(msg)\n 199→\t\t\t\tcase req := <-walRotateCh:\n 200→\t\t\t\t\tprocessRotate(req)\n 201→\t\t\t\tdefault:\n 202→\t\t\t\t\treturn\n 203→\t\t\t\t}\n 204→\t\t\t}\n 205→\t\t}\n 206→\n 207→\t\tfor {\n 208→\t\t\tselect {\n 209→\t\t\tcase <-ctx.Done():\n 210→\t\t\t\tdrain()\n 211→\t\t\t\treturn\n 212→\t\t\tcase msg, ok := <-WALMessages:\n 213→\t\t\t\tif !ok {\n 214→\t\t\t\t\treturn\n 215→\t\t\t\t}\n 216→\t\t\t\tprocessMsg(msg)\n 217→\t\t\tcase req := <-walRotateCh:\n 218→\t\t\t\tprocessRotate(req)\n 219→\t\t\t}\n 220→\t\t}\n 221→\t})\n 222→}\n 223→\n 224→// RotateWALFiles sends rotation requests for the given host directories\n 225→// and blocks until all rotations complete.\n 226→func RotateWALFiles(hostDirs []string) {\n 227→\tdones := make([]chan struct{}, len(hostDirs))\n 228→\tfor i, dir := range hostDirs {\n 229→\t\tdones[i] = make(chan struct{})"}]},"uuid":"fab0082c-f89a-4f42-8908-5dea63b0b74e","timestamp":"2026-03-13T08:01:09.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan 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magic][4B payload_len][payload][4B CRC32]\n 287→func writeWALRecord(f *os.File, msg *WALMessage) error {\n 288→\tpayload := buildWALPayload(msg)\n 289→\tcrc := crc32.ChecksumIEEE(payload)\n 290→\n 291→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n 292→\n 293→\tvar magic [4]byte\n 294→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n 295→\trecord = append(record, magic[:]...)\n 296→\n 297→\tvar pLen [4]byte\n 298→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n 299→\trecord = append(record, pLen[:]...)\n 300→\n 301→\trecord = append(record, payload...)\n 302→\n 303→\tvar crcBytes [4]byte\n 304→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n 305→\trecord = append(record, crcBytes[:]...)\n 306→\n 307→\t_, err := f.Write(record)\n 308→\treturn err\n 309→}\n 310→\n 311→// readWALRecord reads one WAL record from the reader.\n 312→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n 313→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n 314→func readWALRecord(r io.Reader) (*WALMessage, error) {\n 315→\tvar magic uint32\n 316→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n 317→\t\tif err == io.EOF {\n 318→\t\t\treturn nil, nil // Clean EOF\n 319→\t\t}\n 320→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n 321→\t}\n 322→\n 323→\tif magic != walRecordMagic {\n 324→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n 325→\t}\n 326→\n 327→\tvar payloadLen uint32\n 328→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n 329→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n 330→\t}\n 331→\n 332→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n 333→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n 334→\t}\n 335→\n 336→\tpayload := make([]byte, payloadLen)\n 337→\tif _, err := io.ReadFull(r, payload); err != nil {\n 338→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n 339→\t}"}]},"uuid":"40b91b5c-4b2b-4e34-927c-122e59aa4f8d","timestamp":"2026-03-13T08:01:10.692Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}","numLines":60,"startLine":280,"totalLines":798}},"sourceToolAssistantUUID":"f597f659-99fd-404c-bb0b-18189a7dc5d1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"40b91b5c-4b2b-4e34-927c-122e59aa4f8d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016zpgDX45p8t9NmbiugHX9W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MerKUXPgreiAK7DhxsoMcn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","offset":1,"limit":50},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2342,"cache_read_input_tokens":67431,"output_tokens":475,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2342,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjATWt6kRYTjYfFibpR","type":"assistant","uuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","timestamp":"2026-03-13T08:01:11.551Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01MerKUXPgreiAK7DhxsoMcn","toolUseID":"toolu_01MerKUXPgreiAK7DhxsoMcn","timestamp":"2026-03-13T08:01:11.588Z","uuid":"5c77d6e3-5187-465e-b1fa-e52eb45fff65","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MerKUXPgreiAK7DhxsoMcn","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n 7→//\n 8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n 9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n 10→// truly continuous (per-write) crash safety.\n 11→//\n 12→// # Architecture\n 13→//\n 14→//\tMetric write (DecodeLine)\n 15→//\t │\n 16→//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n 17→//\t │\n 18→//\t └─► WALMessages channel\n 19→//\t │\n 20→//\t ▼\n 21→//\t WALStaging goroutine\n 22→//\t │\n 23→//\t ▼\n 24→//\t checkpoints/cluster/host/current.wal (append-only, binary)\n 25→//\n 26→//\tPeriodic checkpoint (Checkpointing goroutine):\n 27→//\t 1. Write .bin snapshot (column-oriented, from main tree)\n 28→//\t 2. Signal WALStaging to truncate current.wal per host\n 29→//\n 30→//\tOn restart (FromCheckpoint):\n 31→//\t 1. Load most recent .bin snapshot\n 32→//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n 33→//\n 34→// # WAL Record Format\n 35→//\n 36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n 37→//\n 38→//\tpayload:\n 39→//\t [8B timestamp int64]\n 40→//\t [2B metric_name_len uint16][N metric name bytes]\n 41→//\t [1B selector_count uint8]\n 42→//\t per selector: [1B selector_len uint8][M selector bytes]\n 43→//\t [4B value float32 bits]\n 44→//\n 45→// # Binary Snapshot Format\n 46→//\n 47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n 48→//\tLevel tree (recursive):\n 49→//\t [4B num_metrics uint32]\n 50→//\t per metric:"}]},"uuid":"823cbbda-d61c-4309-8855-a551ab7ba41c","timestamp":"2026-03-13T08:01:11.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:","numLines":50,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"823cbbda-d61c-4309-8855-a551ab7ba41c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SnpdWi3n16QUu2cgnAaWj1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KBMVArxUVgtnWAaDeSaHhE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","offset":50,"limit":90},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3341,"cache_read_input_tokens":69773,"output_tokens":115,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3341,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjBRR9tP2dgxj67wAo9","type":"assistant","uuid":"0ab4023c-98fd-4e82-b5cb-096af447f804","timestamp":"2026-03-13T08:01:24.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0ab4023c-98fd-4e82-b5cb-096af447f804","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KBMVArxUVgtnWAaDeSaHhE","toolUseID":"toolu_01KBMVArxUVgtnWAaDeSaHhE","timestamp":"2026-03-13T08:01:24.869Z","uuid":"4e9dcfe5-9196-4f9e-a709-4b77ed5ade80","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0ab4023c-98fd-4e82-b5cb-096af447f804","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KBMVArxUVgtnWAaDeSaHhE","type":"tool_result","content":" 50→//\t per metric:\n 51→//\t [2B name_len uint16][N name bytes]\n 52→//\t [8B frequency int64][8B start int64]\n 53→//\t [4B num_values uint32][num_values × 4B float32]\n 54→//\t [4B num_children uint32]\n 55→//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\n 56→package metricstore\n 57→\n 58→import (\n 59→\t\"bufio\"\n 60→\t\"context\"\n 61→\t\"encoding/binary\"\n 62→\t\"fmt\"\n 63→\t\"hash/crc32\"\n 64→\t\"io\"\n 65→\t\"math\"\n 66→\t\"os\"\n 67→\t\"path\"\n 68→\t\"strings\"\n 69→\t\"sync\"\n 70→\t\"sync/atomic\"\n 71→\n 72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 74→)\n 75→\n 76→// Magic numbers for binary formats.\n 77→const (\n 78→\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n 79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n 80→\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n 81→)\n 82→\n 83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n 84→// Buffered to allow burst writes without blocking the metric ingestion path.\n 85→var WALMessages = make(chan *WALMessage, 4096)\n 86→\n 87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n 88→// (close, delete, reopen) after a binary snapshot has been written.\n 89→var walRotateCh = make(chan walRotateReq, 256)\n 90→\n 91→// WALMessage represents a single metric write to be appended to the WAL.\n 92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n 93→type WALMessage struct {\n 94→\tMetricName string\n 95→\tCluster string\n 96→\tNode string\n 97→\tSelector []string\n 98→\tValue schema.Float\n 99→\tTimestamp int64\n 100→}\n 101→\n 102→// walRotateReq requests WAL file rotation for a specific host directory.\n 103→// The done channel is closed by the WAL goroutine when rotation is complete.\n 104→type walRotateReq struct {\n 105→\thostDir string\n 106→\tdone chan struct{}\n 107→}\n 108→\n 109→// walFileState holds an open WAL file handle for one host directory.\n 110→type walFileState struct {\n 111→\tf *os.File\n 112→}\n 113→\n 114→// WALStaging starts a background goroutine that receives WALMessage items\n 115→// and appends binary WAL records to per-host current.wal files.\n 116→// Also handles WAL rotation requests from the checkpoint goroutine.\n 117→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n 118→\twg.Go(func() {\n 119→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n 120→\t\t\treturn\n 121→\t\t}\n 122→\n 123→\t\thostFiles := make(map[string]*walFileState)\n 124→\n 125→\t\tdefer func() {\n 126→\t\t\tfor _, ws := range hostFiles {\n 127→\t\t\t\tif ws.f != nil {\n 128→\t\t\t\t\tws.f.Close()\n 129→\t\t\t\t}\n 130→\t\t\t}\n 131→\t\t}()\n 132→\n 133→\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n 134→\t\t\tws, ok := hostFiles[hostDir]\n 135→\t\t\tif ok {\n 136→\t\t\t\treturn ws.f\n 137→\t\t\t}\n 138→\n 139→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {"}]},"uuid":"95b85559-01a0-45dd-8144-5c84022f789c","timestamp":"2026-03-13T08:01:24.868Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {","numLines":90,"startLine":50,"totalLines":798}},"sourceToolAssistantUUID":"0ab4023c-98fd-4e82-b5cb-096af447f804","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"95b85559-01a0-45dd-8144-5c84022f789c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018vRivQZUwsWpRAaY1D3FAM","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Here's my assessment of the remaining improvements:\n\n**Improvement 1 (WAL buffering)** — **Recommend: YES.** Each metric write does a separate `f.Write()` syscall (line 307). With thousands of metrics/sec across hundreds of hosts, this is a significant I/O bottleneck. The `walFileState` struct already exists and can hold a `bufio.Writer`. The WAL staging goroutine is single-threaded, so no extra synchronization needed. Flush on rotation and on shutdown. Low risk, high impact.\n\n**Improvement 3 (MemoryCap docs)** — **Recommend: YES, trivial.** The config schema already says \"in GB\" (line 58 of configSchema.go), but the struct comment in config.go says \"bytes\". Just fix the comment. One line change.\n\n**Improvement 4 (WAL size limit)** — **Recommend: NO, not yet.** This adds significant complexity (tracking file sizes per host, triggering mid-cycle checkpoints, coordinating with the checkpoint goroutine). The checkpoint interval is now configurable (Improvement 2, already done), so users can reduce WAL accumulation by shortening the interval. The ROI isn't there until there's evidence of actual WAL size problems in production.\n\n**Bug 5 (periodic fsync)** — **Recommend: NO for now.** The CRC check already handles corrupt trailing records gracefully on crash. Adding periodic fsync adds complexity and I/O overhead. The WAL is a best-effort crash recovery mechanism on top of the binary snapshots — losing a few seconds of data on crash is acceptable. If durability requirements increase, revisit.\n\nSo I'd recommend implementing **Improvement 1** (WAL buffering) and **Improvement 3** (fix the misleading comment). Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1258,"cache_read_input_tokens":73114,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1258},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjCQ3aXKLLxwxMvm9rT","type":"assistant","uuid":"c8dd12c9-f6d7-4d2e-a8cc-d8e9adfcb9ef","timestamp":"2026-03-13T08:01:41.029Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c8dd12c9-f6d7-4d2e-a8cc-d8e9adfcb9ef","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018vRivQZUwsWpRAaY1D3FAM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019Nnx9e4GQtWD965k1KSn1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","offset":108,"limit":25},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1258,"cache_read_input_tokens":73114,"output_tokens":541,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1258,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjCQ3aXKLLxwxMvm9rT","type":"assistant","uuid":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","timestamp":"2026-03-13T08:01:41.942Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_019Nnx9e4GQtWD965k1KSn1C","toolUseID":"toolu_019Nnx9e4GQtWD965k1KSn1C","timestamp":"2026-03-13T08:01:41.977Z","uuid":"25cf5ff8-661c-428b-a254-2504492cb25a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019Nnx9e4GQtWD965k1KSn1C","type":"tool_result","content":" 108→// MetricStoreConfig defines the main configuration for the metricstore.\n 109→//\n 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`\n 125→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 126→\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n 127→\tMemoryCap int `json:\"memory-cap\"`\n 128→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 129→\tDebug *Debug `json:\"debug\"`\n 130→\tCleanup *Cleanup `json:\"cleanup\"`\n 131→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 132→}"}]},"uuid":"4dd0af1c-6396-4ccd-a1d0-07d243594137","timestamp":"2026-03-13T08:01:41.977Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}","numLines":25,"startLine":108,"totalLines":255}},"sourceToolAssistantUUID":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4dd0af1c-6396-4ccd-a1d0-07d243594137","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WhatmPCUMs1HumqgCUrRkE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HCEXJ2guGau9H3fi2UrU44","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md","old_string":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","new_string":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":74372,"output_tokens":2522,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1033,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjDex3rXF5PJnDh39c5","type":"assistant","uuid":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","timestamp":"2026-03-13T08:02:43.693Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"String to replace not found in file.\nString: # Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","is_error":true,"tool_use_id":"toolu_01HCEXJ2guGau9H3fi2UrU44"}]},"uuid":"5fe996d6-536a-43d6-a676-7acd2dbb2f82","timestamp":"2026-03-13T08:02:43.710Z","toolUseResult":"Error: String to replace not found in file.\nString: # Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","sourceToolAssistantUUID":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"38de12e3-30e5-41ab-b965-19db7f94a36a","snapshot":{"messageId":"60cd4972-5f77-4739-8e73-65d20918d1f4","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/stats.go":{"backupFileName":"3fe420c4b160c1a8@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/api.go":{"backupFileName":"562132bad4f769ab@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/healthcheck.go":{"backupFileName":"29f30693ee65fae3@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/checkpoint.go":{"backupFileName":"6cd2cc2f9fa35484@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/configSchema.go":{"backupFileName":"5a1be5ca7fda54fe@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"/Users/jan/.claude/plans/linear-roaming-glade.md":{"backupFileName":"758d0013a17e5a6c@v1","version":1,"backupTime":"2026-03-13T08:02:51.242Z"}},"timestamp":"2026-03-13T08:00:54.220Z"},"isSnapshotUpdate":true} +{"parentUuid":"5fe996d6-536a-43d6-a676-7acd2dbb2f82","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0174EGFijckFCJQh7kMA6osu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4NeYasGG9w3dsgQjE8xNq","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4702,"cache_read_input_tokens":75405,"output_tokens":496,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4702,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjJCtmuZMnBkg9sMb7U","type":"assistant","uuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","timestamp":"2026-03-13T08:02:51.225Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01D4NeYasGG9w3dsgQjE8xNq","toolUseID":"toolu_01D4NeYasGG9w3dsgQjE8xNq","timestamp":"2026-03-13T08:02:51.244Z","uuid":"9f385504-b3bf-4906-8b68-7613655809bc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4NeYasGG9w3dsgQjE8xNq","type":"tool_result","content":"The file /Users/jan/.claude/plans/linear-roaming-glade.md has been updated successfully."}]},"uuid":"bc822ad1-a73f-4d71-a358-6a146ef0f146","timestamp":"2026-03-13T08:02:51.244Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":67,"newStart":1,"newLines":25,"lines":["-# Metricstore In-Depth Review: Bugs & Improvements","+# Remaining Improvements for Metricstore"," ","-## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)","-**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.","+## IMPROVEMENT 1: WAL buffering — RECOMMEND","+- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`","+- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall","+- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)","+- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`","+- Flush in `processRotate` (line 178) before Close","+- Flush in defer cleanup (line 126) before Close","+- Flush in `drain()` (line 191) after processing remaining messages"," ","-**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.","+## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)","+- `config.go:116` comment says \"Max bytes\" but code treats it as GB","+- Fix comment to say \"Max memory in GB\""," ","-## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)","-**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).","-","-**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).","-","-## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)","-**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.","-","-**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.","-","-## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)","-**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.","-","-**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.","-","-## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)","-**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.","-","-**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.","-","-## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)","-**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.","-","-**Fix**: Only skip for factor == 1 (identity), not 0.","-","-## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)","-**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.","-","-**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.","-","-## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)","-**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.","-**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.","-","-## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)","-**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.","-**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.","-","-## IMPROVEMENT 3: `MemoryCap` type mismatch","-**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.","-**Fix**: Clarify the unit in docs/config schema; it's actually GB.","-","-## IMPROVEMENT 4: No WAL size limit","-**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.","-**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.","-","----","-"," ## Files to modify","+- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain","+- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\""," ","-- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call","-- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`","-- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`","-- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`","-- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`","-- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)","-- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`","+## NOT recommended now","+- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever","+- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots"," "," ## Verification"," ```bash"]}],"originalFile":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"sourceToolAssistantUUID":"38de12e3-30e5-41ab-b965-19db7f94a36a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"bc822ad1-a73f-4d71-a358-6a146ef0f146","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018bGCx5RWVye6eNxL2Qf8RY","type":"message","role":"assistant","content":[{"type":"text","text":"Here's my recommendation on the remaining improvements:\n\n**Implement:**\n- **Improvement 1 (WAL buffering)** — Each WAL write currently does a raw `f.Write()` syscall. 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frontend\n 6→implementation of ClusterCockpit.\n 7→For release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n 8→\n 9→## Changes in 1.5.1\n 10→\n 11→### Database\n 12→\n 13→- **New migration (version 12)**: Added covering index for stats queries for significantly improved query performance\n 14→- **New migration (version 11)**: Optimized database index count for better performance\n 15→- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n 16→- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n 17→- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n 18→- **User list paging**: Added paging support to the user list for better scalability\n 19→- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n 20→- **Query cancellation**: Long-running database queries can now be cancelled\n 21→- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n 22→\n 23→### Bug fixes\n 24→\n 25→- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n 26→- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n 27→- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n 28→- **Energy filter preset**: Reduced energy filter preset to a more practical default\n 29→- **JSON validity check**: Fixed wrong field being checked for JSON validity\n 30→- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n 31→- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n 32→- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n 33→\n 34→### Frontend\n 35→\n 36→- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n 37→\n 38→### Documentation\n 39→\n 40→- **New DB config options**: Added new database configuration options to README\n 41→\n 42→---\n 43→\n 44→*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n 45→\n 46→## Breaking changes\n 47→\n 48→### Configuration changes\n 49→\n 50→- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n 51→ style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n 52→ Update your `config.json` accordingly.\n 53→- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n 54→- **Removed `clusters` config section**: The separate clusters configuration section\n 55→ has been removed. Cluster information is now derived from the job archive.\n 56→- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n 57→ restricted.\n 58→\n 59→### Architecture changes\n 60→\n 61→- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n 62→ router. This should be transparent to users but affects how middleware and\n 63→ routes are composed. A proper 404 handler is now in place.\n 64→- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n 65→ to `pkg/` as it is now part of the public API.\n 66→- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n 67→- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n 68→ and renamed to \"Cleanup\" for clarity.\n 69→- **`minRunningFor` filter removed**: This undocumented filter has been removed\n 70→ from the API and frontend.\n 71→\n 72→### Dependency changes\n 73→\n 74→- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n 75→- **cclib NATS client**: Now using the cclib NATS client implementation\n 76→- Removed obsolete `util.Float` usage from cclib\n 77→\n 78→## Major new features\n 79→\n 80→### NATS API Integration\n 81→\n 82→- **Real-time job events**: Subscribe to job start/stop events via NATS\n 83→- **Node state updates**: Receive real-time node state changes via NATS\n 84→- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n 85→- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n 86→\n 87→### Public Dashboard\n 88→\n 89→- **Public-facing interface**: New public dashboard route for external users\n 90→- **DoubleMetricPlot component**: New visualization component for comparing metrics\n 91→- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n 92→\n 93→### Enhanced Node Management\n 94→\n 95→- **Node state tracking**: New node table in database with timestamp tracking\n 96→- **Node state filtering**: Filter jobs by node state in systems view\n 97→- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n 98→- **Nodestate retention and archiving**: Node state data is now subject to configurable\n 99→ retention policies and can be archived to Parquet format for long-term storage\n 100→- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n 101→\n 102→### Health Monitoring\n 103→\n 104→- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n 105→ showing per-node metric health across the cluster\n 106→- **CCMS health check**: Support for querying health status of external\n 107→ cc-metric-store (CCMS) instances via the API\n 108→- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n 109→- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n 110→\n 111→### Log Viewer\n 112→\n 113→- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n 114→ backend log output directly from the browser without shell access\n 115→- **Accessible from header**: Quick access link from the navigation header\n 116→\n 117→### MetricStore Improvements\n 118→\n 119→- **Memory tracking worker**: New worker for CCMS memory usage tracking\n 120→- **Dynamic retention**: Support for job specific dynamic retention times\n 121→- **Improved compression**: Transparent compression for job archive imports\n 122→- **Parallel processing**: Parallelized Iter function in all archive backends\n 123→\n 124→### Job Tagging System\n 125→\n 126→- **Job tagger option**: Enable automatic job tagging via configuration flag\n 127→- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n 128→- **Job classification**: Automatic detection of pathological jobs\n 129→- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n 130→- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n 131→ without restarting the backend\n 132→\n 133→### Archive Backends\n 134→\n 135→- **Parquet archive format**: New Parquet file format for job archiving, providing\n 136→ columnar storage with efficient compression for analytical workloads\n 137→- **S3 backend**: Full support for S3-compatible object storage\n 138→- **SQLite backend**: Full support for SQLite backend using blobs\n 139→- **Performance improvements**: Fixed performance bugs in archive backends\n 140→- **Better error handling**: Improved error messages and fallback handling\n 141→- **Zstd compression**: Parquet writers use zstd compression for better\n 142→ compression ratios compared to the previous snappy default\n 143→- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n 144→ cluster, subcluster, and start time for efficient range queries\n 145→\n 146→### Unified Archive Retention and Format Conversion\n 147→\n 148→- **Uniform retention policy**: Job archive retention now supports both JSON and\n 149→ Parquet as target formats under a single, consistent policy configuration\n 150→- **Archive manager tool**: The `tools/archive-manager` utility now supports\n 151→ format conversion between JSON and Parquet job archives\n 152→- **Parquet reader**: Full Parquet archive reader implementation for reading back\n 153→ archived job data\n 154→\n 155→## New features and improvements\n 156→\n 157→### Frontend\n 158→\n 159→- **Loading indicators**: Added loading indicators to status detail and job lists\n 160→- **Job info layout**: Reviewed and improved job info row layout\n 161→- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n 162→- **Filter presets**: Move list filter preset to URL for easy sharing\n 163→- **Job comparison**: Improved job comparison views and plots\n 164→- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n 165→- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n 166→ replaces the removed undocumented `minRunningFor` filter\n 167→- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n 168→ plots in a job list row for easier cross-metric comparison\n 169→- **Disabled metrics handling**: Improved handling and display of disabled metrics\n 170→ across job view, node view, and list rows\n 171→- **\"Not configured\" info cards**: Informational cards shown when optional features\n 172→ are not yet configured\n 173→- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n 174→- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n 175→\n 176→### Backend\n 177→\n 178→- **Progress bars**: Import function now shows progress during long operations\n 179→- **Better logging**: Improved logging with appropriate log levels throughout\n 180→- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n 181→- **Configuration defaults**: Sensible defaults for most configuration options\n 182→- **Documentation**: Extensive documentation improvements across packages\n 183→- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n 184→\n 185→### Security\n 186→\n 187→- **LDAP security hardening**: Improved input validation, connection handling, and\n 188→ error reporting in the LDAP authenticator\n 189→- **OIDC security hardening**: Stricter token validation and improved error handling\n 190→ in the OIDC authenticator\n 191→- **Auth schema extensions**: Additional schema fields for improved auth configuration\n 192→\n 193→### API improvements\n 194→\n 195→- **Role-based metric visibility**: Metrics can now have role-based access control\n 196→- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n 197→- **Improved error messages**: Better error messages and documentation in REST API\n 198→- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n 199→- **Stop job lookup order**: Reversed lookup order in stop job requests for\n 200→ more reliable job matching (cluster+jobId first, then jobId alone)\n 201→\n 202→### Performance\n 203→\n 204→- **Database indices**: Optimized SQLite indices for better query performance\n 205→- **Job cache**: Introduced caching table for faster job inserts\n 206→- **Parallel imports**: Archive imports now run in parallel where possible\n 207→- **External tool integration**: Optimized use of external tools (fd) for better performance\n 208→- **Node repository queries**: Reviewed and optimized node repository SQL queries\n 209→- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n 210→\n 211→### Developer experience\n 212→\n 213→- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n 214→- **Example API payloads**: Added example JSON API payloads for testing\n 215→- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n 216→- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n 217→ to avoid state pollution between test runs\n 218→- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n 219→\n 220→## Bug fixes\n 221→\n 222→- Fixed nodelist paging issues\n 223→- Fixed metric select drag and drop functionality\n 224→- Fixed render race conditions in nodeList\n 225→- Fixed tag count grouping including type\n 226→- Fixed wrong metricstore schema (missing comma)\n 227→- Fixed configuration issues causing shutdown hangs\n 228→- Fixed deadlock when NATS is not configured\n 229→- Fixed archive backend performance bugs\n 230→- Fixed continuous scroll buildup on refresh\n 231→- Improved footprint calculation logic\n 232→- Fixed polar plot data query decoupling\n 233→- Fixed missing resolution parameter handling\n 234→- Fixed node table initialization fallback\n 235→- Fixed reactivity key placement in nodeList\n 236→- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n 237→- Fixed job always being transferred to main job table before archiving\n 238→- Fixed AppTagger error handling and logging\n 239→- Fixed log endpoint formatting and correctness\n 240→- Fixed automatic refresh in metric status tab\n 241→- Fixed NULL value handling in `health_state` and `health_metrics` columns\n 242→- Fixed bugs related to `job_cache` IDs being used in the main job table\n 243→- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n 244→- Fixed 404 handler route for sub-routers\n 245→\n 246→## Configuration changes\n 247→\n 248→### New configuration options\n 249→\n 250→```json\n 251→{\n 252→ \"main\": {\n 253→ \"enable-job-taggers\": true,\n 254→ \"resampling\": {\n 255→ \"minimum-points\": 600,\n 256→ \"trigger\": 180,\n 257→ \"resolutions\": [240, 60]\n 258→ },\n 259→ \"api-subjects\": {\n 260→ \"subject-job-event\": \"cc.job.event\",\n 261→ \"subject-node-state\": \"cc.node.state\"\n 262→ }\n 263→ },\n 264→ \"nats\": {\n 265→ \"address\": \"nats://0.0.0.0:4222\",\n 266→ \"username\": \"root\",\n 267→ \"password\": \"root\"\n 268→ },\n 269→ \"cron\": {\n 270→ \"commit-job-worker\": \"1m\",\n 271→ \"duration-worker\": \"5m\",\n 272→ \"footprint-worker\": \"10m\"\n 273→ },\n 274→ \"metric-store\": {\n 275→ \"cleanup\": {\n 276→ \"mode\": \"archive\",\n 277→ \"interval\": \"48h\",\n 278→ \"directory\": \"./var/archive\"\n 279→ }\n 280→ },\n 281→ \"archive\": {\n 282→ \"retention\": {\n 283→ \"policy\": \"delete\",\n 284→ \"age\": \"6months\",\n 285→ \"target-format\": \"parquet\"\n 286→ }\n 287→ },\n 288→ \"nodestate\": {\n 289→ \"retention\": {\n 290→ \"policy\": \"archive\",\n 291→ \"age\": \"30d\",\n 292→ \"archive-path\": \"./var/nodestate-archive\"\n 293→ }\n 294→ }\n 295→}\n 296→```\n 297→\n 298→## Migration notes\n 299→\n 300→- Review and update your `config.json` to use kebab-case attribute names\n 301→- If using NATS, configure the new `nats` and `api-subjects` sections\n 302→- If using S3 archive backend, configure the new `archive` section options\n 303→- Test the new public dashboard at `/public` route\n 304→- Review cron worker configuration if you need different frequencies\n 305→- If using the archive retention feature, configure the `target-format` option\n 306→ to choose between `json` (default) and `parquet` output formats\n 307→- Consider enabling nodestate retention if you track node states over time\n 308→\n 309→## Known issues\n 310→\n 311→- The new dynamic memory management is not bullet proof yet across restarts. We\n 312→ will fix that in a subsequent patch release\n 313→- Currently energy footprint metrics of type energy are ignored for calculating\n 314→ total energy.\n 315→- With energy footprint metrics of type power the unit is ignored and it is\n 316→ assumed the metric has the unit Watt.\n 317→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"098078f4-e4ca-4879-9182-b00cd5e64d6d","timestamp":"2026-03-13T16:23:27.430Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/ReleaseNotes.md","content":"# `cc-backend` version 1.5.1\n\nSupports job archive version 3 and database version 12.\n\nThis is a bugfix release of `cc-backend`, the API backend and frontend\nimplementation of ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 12)**: Added covering index for stats queries for significantly improved query performance\n- **New migration (version 11)**: Optimized database index count for better performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": \"archive\",\n \"interval\": \"48h\",\n \"directory\": \"./var/archive\"\n }\n },\n \"archive\": {\n \"retention\": {\n \"policy\": \"delete\",\n \"age\": \"6months\",\n \"target-format\": \"parquet\"\n }\n },\n \"nodestate\": {\n \"retention\": {\n \"policy\": \"archive\",\n \"age\": \"30d\",\n \"archive-path\": \"./var/nodestate-archive\"\n }\n }\n}\n```\n\n## Migration notes\n\n- Review and update your `config.json` to use kebab-case attribute names\n- If using NATS, configure the new `nats` and `api-subjects` sections\n- If using S3 archive backend, configure the new `archive` section options\n- Test the new public dashboard at `/public` route\n- Review cron worker configuration if you need different frequencies\n- If using the archive retention feature, configure the `target-format` option\n to choose between `json` (default) and `parquet` output formats\n- Consider enabling nodestate retention if you track node states over time\n\n## Known issues\n\n- The new dynamic memory management is not bullet proof yet across restarts. 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Version 11: Optimize job table indexes (reduce from ~78 to 48, add covering/partial indexes)\n25:// - Version 10: Node table\n28:const Version uint = 11\n33:// checkDBVersion verifies that the database schema version matches the expected version.\n43:func checkDBVersion(db *sql.DB) error {\n58:\tv, dirty, err := m.Version()\n60:\t\tif err == migrate.ErrNilVersion {\n67:\tif v < Version {\n68:\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n69:\t} else if v > Version {\n70:\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n74:\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n102:// 2. 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Remove overly specific sorting indexes (reduces ~78 → 48)\n 3→-- - Add covering index for grouped stats queries\n 4→-- - Add covering indexes for status/dashboard queries\n 5→-- - Add partial covering indexes for running jobs (tiny B-tree)\n 6→\n 7→-- ============================================================\n 8→-- Drop SELECTED existing job indexes (from migrations 08/09)\n 9→-- sqlite_autoindex_job_1 (UNIQUE constraint) is kept automatically\n 10→-- ============================================================\n 11→\n 12→-- Cluster+Partition Filter Sorting\n 13→DROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\n 14→DROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\n 15→DROP INDEX IF EXISTS jobs_cluster_partition_numacc;\n 16→DROP INDEX IF EXISTS jobs_cluster_partition_energy;\n 17→\n 18→-- Cluster+JobState Filter Sorting\n 19→DROP INDEX IF EXISTS jobs_cluster_jobstate_numnodes;\n 20→DROP INDEX IF EXISTS jobs_cluster_jobstate_numhwthreads;\n 21→DROP INDEX IF EXISTS jobs_cluster_jobstate_numacc;\n 22→DROP INDEX IF EXISTS jobs_cluster_jobstate_energy;\n 23→\n 24→-- Cluster+Shared Filter Sorting\n 25→DROP INDEX IF EXISTS jobs_cluster_shared_numnodes;\n 26→DROP INDEX IF EXISTS jobs_cluster_shared_numhwthreads;\n 27→DROP INDEX IF EXISTS jobs_cluster_shared_numacc;\n 28→DROP INDEX IF EXISTS jobs_cluster_shared_energy;\n 29→\n 30→-- User Filter Sorting\n 31→DROP INDEX IF EXISTS jobs_user_numnodes;\n 32→DROP INDEX IF EXISTS jobs_user_numhwthreads;\n 33→DROP INDEX IF EXISTS jobs_user_numacc;\n 34→DROP INDEX IF EXISTS jobs_user_energy;\n 35→\n 36→-- Project Filter Sorting\n 37→DROP INDEX IF EXISTS jobs_project_numnodes;\n 38→DROP INDEX IF EXISTS jobs_project_numhwthreads;\n 39→DROP INDEX IF EXISTS jobs_project_numacc;\n 40→DROP INDEX IF EXISTS jobs_project_energy;\n 41→\n 42→-- JobState Filter Sorting\n 43→DROP INDEX IF EXISTS jobs_jobstate_numnodes;\n 44→DROP INDEX IF EXISTS jobs_jobstate_numhwthreads;\n 45→DROP INDEX IF EXISTS jobs_jobstate_numacc;\n 46→DROP INDEX IF EXISTS jobs_jobstate_energy;\n 47→\n 48→-- Shared Filter Sorting\n 49→DROP INDEX IF EXISTS jobs_shared_numnodes;\n 50→DROP INDEX IF EXISTS jobs_shared_numhwthreads;\n 51→DROP INDEX IF EXISTS jobs_shared_numacc;\n 52→DROP INDEX IF EXISTS jobs_shared_energy;\n 53→\n 54→-- ArrayJob Filter\n 55→DROP INDEX IF EXISTS jobs_cluster_arrayjobid_starttime;\n 56→\n 57→-- Backup Indices For High Variety Columns\n 58→DROP INDEX IF EXISTS jobs_duration;\n 59→\n 60→-- ============================================================\n 61→-- Covering indexes for grouped stats queries\n 62→-- Column order: cluster (equality), hpc_user/project (GROUP BY), start_time (range scan)\n 63→-- Includes aggregated columns to avoid main table lookups entirely.\n 64→-- ============================================================\n 65→\n 66→CREATE INDEX IF NOT EXISTS jobs_cluster_user_starttime_stats\n 67→ ON job (cluster, hpc_user, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n 68→\n 69→CREATE INDEX IF NOT EXISTS jobs_cluster_project_starttime_stats\n 70→ ON job (cluster, project, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n 71→\n 72→-- ============================================================\n 73→-- Covering indexes for status/dashboard queries\n 74→-- Column order: cluster (equality), job_state (equality), grouping col, then aggregated columns\n 75→-- These indexes allow the status views to be served entirely from index scans.\n 76→-- ============================================================\n 77→\n 78→-- Drop 3-col indexes that are subsumed by the covering indexes below\n 79→DROP INDEX IF EXISTS jobs_cluster_jobstate_user;\n 80→DROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n 81→\n 82→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n 83→ ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 84→\n 85→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n 86→ ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 87→\n 88→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n 89→ ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 90→\n 91→-- ============================================================\n 92→-- Partial covering indexes for running jobs\n 93→-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n 94→-- the full-table indexes above. SQLite uses them when the query contains the\n 95→-- literal `job_state = 'running'` (not a parameter placeholder).\n 96→-- ============================================================\n 97→\n 98→CREATE INDEX IF NOT EXISTS jobs_running_user_stats\n 99→ ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n 100→ WHERE job_state = 'running';\n 101→\n 102→CREATE INDEX IF NOT EXISTS jobs_running_project_stats\n 103→ ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n 104→ WHERE job_state = 'running';\n 105→\n 106→CREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n 107→ ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n 108→ WHERE job_state = 'running';\n 109→\n 110→PRAGMA optimize;\n 111→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"791dd694-6169-44f0-abb7-f8a9d042a7c9","timestamp":"2026-03-13T16:23:31.681Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/11_optimize-indexes.up.sql","content":"-- Migration 11: Optimize job table indexes\n-- - Remove overly specific sorting indexes (reduces ~78 → 48)\n-- - Add covering index for grouped stats queries\n-- - Add covering indexes for status/dashboard queries\n-- - Add partial covering indexes for running jobs (tiny B-tree)\n\n-- ============================================================\n-- Drop SELECTED existing job indexes (from migrations 08/09)\n-- sqlite_autoindex_job_1 (UNIQUE constraint) is kept automatically\n-- ============================================================\n\n-- Cluster+Partition Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_partition_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_partition_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_partition_numacc;\nDROP INDEX IF EXISTS jobs_cluster_partition_energy;\n\n-- Cluster+JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_energy;\n\n-- Cluster+Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_cluster_shared_numnodes;\nDROP INDEX IF EXISTS jobs_cluster_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_cluster_shared_numacc;\nDROP INDEX IF EXISTS jobs_cluster_shared_energy;\n\n-- User Filter Sorting\nDROP INDEX IF EXISTS jobs_user_numnodes;\nDROP INDEX IF EXISTS jobs_user_numhwthreads;\nDROP INDEX IF EXISTS jobs_user_numacc;\nDROP INDEX IF EXISTS jobs_user_energy;\n\n-- Project Filter Sorting\nDROP INDEX IF EXISTS jobs_project_numnodes;\nDROP INDEX IF EXISTS jobs_project_numhwthreads;\nDROP INDEX IF EXISTS jobs_project_numacc;\nDROP INDEX IF EXISTS jobs_project_energy;\n\n-- JobState Filter Sorting\nDROP INDEX IF EXISTS jobs_jobstate_numnodes;\nDROP INDEX IF EXISTS jobs_jobstate_numhwthreads;\nDROP INDEX IF EXISTS jobs_jobstate_numacc;\nDROP INDEX IF EXISTS jobs_jobstate_energy;\n\n-- Shared Filter Sorting\nDROP INDEX IF EXISTS jobs_shared_numnodes;\nDROP INDEX IF EXISTS jobs_shared_numhwthreads;\nDROP INDEX IF EXISTS jobs_shared_numacc;\nDROP INDEX IF EXISTS jobs_shared_energy;\n\n-- ArrayJob Filter\nDROP INDEX IF EXISTS jobs_cluster_arrayjobid_starttime;\n\n-- Backup Indices For High Variety Columns\nDROP INDEX IF EXISTS jobs_duration;\n\n-- ============================================================\n-- Covering indexes for grouped stats queries\n-- Column order: cluster (equality), hpc_user/project (GROUP BY), start_time (range scan)\n-- Includes aggregated columns to avoid main table lookups entirely.\n-- ============================================================\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_user_starttime_stats\n ON job (cluster, hpc_user, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_project_starttime_stats\n ON job (cluster, project, start_time, duration, job_state, num_nodes, num_hwthreads, num_acc);\n\n-- ============================================================\n-- Covering indexes for status/dashboard queries\n-- Column order: cluster (equality), job_state (equality), grouping col, then aggregated columns\n-- These indexes allow the status views to be served entirely from index scans.\n-- ============================================================\n\n-- Drop 3-col indexes that are subsumed by the covering indexes below\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n\n-- ============================================================\n-- Partial covering indexes for running jobs\n-- Only running jobs are in the B-tree, so these indexes are tiny compared to\n-- the full-table indexes above. SQLite uses them when the query contains the\n-- literal `job_state = 'running'` (not a parameter placeholder).\n-- ============================================================\n\nCREATE INDEX IF NOT EXISTS jobs_running_user_stats\n ON job (cluster, hpc_user, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_project_stats\n ON job (cluster, project, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nCREATE INDEX IF NOT EXISTS jobs_running_subcluster_stats\n ON job (cluster, subcluster, num_nodes, num_hwthreads, num_acc, duration, start_time)\n WHERE job_state = 'running';\n\nPRAGMA 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The ReleaseNotes claims \"database version 12\" but the code is at version 11, and migration 11 already includes the covering indexes (which were consolidated). The ReleaseNotes needs to be corrected."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2454,"cache_read_input_tokens":24201,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2454},"output_tokens":10,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1PVAvwGwBvjL69pLnD2","type":"assistant","uuid":"00169c9e-6a62-4221-97b8-ebcdd79ef9da","timestamp":"2026-03-13T16:23:47.344Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"2be98a44-8fcb-4e3e-8ffe-2ccb5a41a0b4","version":"2.1.74","gitBranch":"hotfix","slug":"purrfect-booping-quill"} +{"parentUuid":"00169c9e-6a62-4221-97b8-ebcdd79ef9da","isSidechain":false,"message":{"model":"claude-sonnet-4-6","id":"msg_01WxPtZGWKE8jJrRQCE1s59C","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DncDjVvHKu3bZqN9MeYNa7","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2454,"cache_read_input_tokens":24201,"output_tokens":735,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2454,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1PVAvwGwBvjL69pLnD2","type":"assistant","uuid":"1211977b-f737-4b54-b308-aa054aa1b043","timestamp":"2026-03-13T16:23:47.984Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"2be98a44-8fcb-4e3e-8ffe-2ccb5a41a0b4","version":"2.1.74","gitBranch":"hotfix","slug":"purrfect-booping-quill"} +{"parentUuid":"1211977b-f737-4b54-b308-aa054aa1b043","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01DncDjVvHKu3bZqN9MeYNa7","toolUseID":"toolu_01DncDjVvHKu3bZqN9MeYNa7","timestamp":"2026-03-13T16:23:47.993Z","uuid":"10e7dcd9-dcd4-4c1b-b689-7cf1012ab819","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"2be98a44-8fcb-4e3e-8ffe-2ccb5a41a0b4","version":"2.1.74","gitBranch":"hotfix","slug":"purrfect-booping-quill"} +{"parentUuid":"1211977b-f737-4b54-b308-aa054aa1b043","isSidechain":false,"promptId":"b82d8079-ef82-400b-8153-430c0e41c8a4","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DncDjVvHKu3bZqN9MeYNa7","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"database/sql\"\n 10→\t\"embed\"\n 11→\t\"fmt\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/golang-migrate/migrate/v4\"\n 15→\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n 16→\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n 17→)\n 18→\n 19→// Version is the current database schema version required by this version of cc-backend.\n 20→// When the database schema changes, this version is incremented and a new migration file\n 21→// is added to internal/repository/migrations/sqlite3/.\n 22→//\n 23→// Version history:\n 24→// - Version 11: Optimize job table indexes (reduce from ~78 to 48, add covering/partial indexes)\n 25→// - Version 10: Node table\n 26→//\n 27→// Migration files are embedded at build time from the migrations directory.\n 28→const Version uint = 11\n 29→\n 30→//go:embed migrations/*\n 31→var migrationFiles embed.FS\n 32→\n 33→// checkDBVersion verifies that the database schema version matches the expected version.\n 34→// This is called automatically during Connect() to ensure schema compatibility.\n 35→//\n 36→// Returns an error if:\n 37→// - Database version is older than expected (needs migration)\n 38→// - Database version is newer than expected (needs app upgrade)\n 39→// - Database is in a dirty state (failed migration)\n 40→//\n 41→// A \"dirty\" database indicates a migration was started but not completed successfully.\n 42→// This requires manual intervention to fix the database and force the version.\n 43→func checkDBVersion(db *sql.DB) error {\n 44→\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n 45→\tif err != nil {\n 46→\t\treturn err\n 47→\t}\n 48→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 49→\tif err != nil {\n 50→\t\treturn err\n 51→\t}\n 52→\n 53→\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n 54→\tif err != nil {\n 55→\t\treturn err\n 56→\t}\n 57→\n 58→\tv, dirty, err := m.Version()\n 59→\tif err != nil {\n 60→\t\tif err == migrate.ErrNilVersion {\n 61→\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n 62→\t\t} else {\n 63→\t\t\treturn err\n 64→\t\t}\n 65→\t}\n 66→\n 67→\tif v < Version {\n 68→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 69→\t} else if v > Version {\n 70→\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n 71→\t}\n 72→\n 73→\tif dirty {\n 74→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 75→\t}\n 76→\n 77→\treturn nil\n 78→}\n 79→\n 80→// getMigrateInstance creates a new migration instance for the given database file.\n 81→// This is used internally by MigrateDB, RevertDB, and ForceDB.\n 82→func getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n 83→\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n 84→\tif err != nil {\n 85→\t\treturn nil, err\n 86→\t}\n 87→\n 88→\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n 89→\tif err != nil {\n 90→\t\treturn nil, err\n 91→\t}\n 92→\n 93→\treturn m, nil\n 94→}\n 95→\n 96→// MigrateDB applies all pending database migrations to bring the schema up to date.\n 97→// This should be run with the -migrate-db flag before starting the application\n 98→// after upgrading to a new version that requires schema changes.\n 99→//\n 100→// Process:\n 101→// 1. Checks current database version\n 102→// 2. Applies all migrations from current version to target Version\n 103→// 3. Updates schema_migrations table to track applied migrations\n 104→//\n 105→// Important:\n 106→// - Always backup your database before running migrations\n 107→// - Migrations are irreversible without manual intervention\n 108→// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n 109→//\n 110→// Usage:\n 111→//\n 112→//\tcc-backend -migrate-db\n 113→func MigrateDB(db string) error {\n 114→\tm, err := getMigrateInstance(db)\n 115→\tif err != nil {\n 116→\t\treturn err\n 117→\t}\n 118→\n 119→\tv, dirty, err := m.Version()\n 120→\tif err != nil {\n 121→\t\tif err == migrate.ErrNilVersion {\n 122→\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n 123→\t\t} else {\n 124→\t\t\treturn err\n 125→\t\t}\n 126→\t}\n 127→\n 128→\tif v < Version {\n 129→\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n 130→\t}\n 131→\n 132→\tif dirty {\n 133→\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n 134→\t}\n 135→\n 136→\tif err := m.Up(); err != nil {\n 137→\t\tif err == migrate.ErrNoChange {\n 138→\t\t\tcclog.Info(\"DB already up to date!\")\n 139→\t\t} else {\n 140→\t\t\treturn err\n 141→\t\t}\n 142→\t}\n 143→\n 144→\tm.Close()\n 145→\treturn nil\n 146→}\n 147→\n 148→// RevertDB rolls back the database schema to the previous version (Version - 1).\n 149→// This is primarily used for testing or emergency rollback scenarios.\n 150→//\n 151→// Warning:\n 152→// - This may cause data loss if newer schema added columns/tables\n 153→// - Always backup before reverting\n 154→// - Not all migrations are safely reversible\n 155→//\n 156→// Usage:\n 157→//\n 158→//\tcc-backend -revert-db\n 159→func RevertDB(db string) error {\n 160→\tm, err := getMigrateInstance(db)\n 161→\tif err != nil {\n 162→\t\treturn err\n 163→\t}\n 164→\n 165→\tif err := m.Migrate(Version - 1); err != nil {\n 166→\t\tif err == migrate.ErrNoChange {\n 167→\t\t\tcclog.Info(\"DB already up to date!\")\n 168→\t\t} else {\n 169→\t\t\treturn err\n 170→\t\t}\n 171→\t}\n 172→\n 173→\tm.Close()\n 174→\treturn nil\n 175→}\n 176→\n 177→// ForceDB forces the database schema version to the current Version without running migrations.\n 178→// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n 179→//\n 180→// When to use:\n 181→// - After manually fixing a failed migration\n 182→// - When you've manually applied schema changes and need to update the version marker\n 183→//\n 184→// Warning:\n 185→// - This does NOT apply any schema changes\n 186→// - Only use after manually verifying the schema is correct\n 187→// - Improper use can cause schema/version mismatch\n 188→//\n 189→// Usage:\n 190→//\n 191→//\tcc-backend -force-db\n 192→func ForceDB(db string) error {\n 193→\tm, err := getMigrateInstance(db)\n 194→\tif err != nil {\n 195→\t\treturn err\n 196→\t}\n 197→\n 198→\tif err := m.Force(int(Version)); err != nil {\n 199→\t\treturn err\n 200→\t}\n 201→\n 202→\tm.Close()\n 203→\treturn nil\n 204→}\n 205→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"a0292b40-b6d2-4df8-a8f3-fc6d8e9bd98d","timestamp":"2026-03-13T16:23:47.993Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migration.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48, add covering/partial indexes)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 11\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); 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removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": 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ClusterCockpit.\nFor release specific notes visit the [ClusterCockpit Documentation](https://clusterockpit.org/docs/release/).\n\n## Changes in 1.5.1\n\n### Database\n\n- **New migration (version 12)**: Added covering index for stats queries for significantly improved query performance\n- **New migration (version 11)**: Optimized database index count for better performance\n- **Migration 9 fix**: Removed redundant indices from migration 9 that are superseded by migration 11\n- **Optional DB optimization flag**: Added `-optimize-db` CLI flag to run `ANALYZE` on demand; removed automatic ANALYZE on startup\n- **Selective stats queries**: Stats queries are now selective, reducing unnecessary computation\n- **User list paging**: Added paging support to the user list for better scalability\n- **SQLite configuration hardening**: Sanitized SQLite configuration with new configurable options; fixes large heap allocations in the SQLite driver\n- **Query cancellation**: Long-running database queries can now be cancelled\n- **Resource leak fix**: Added missing `defer Close()` calls for all query result sets\n\n### Bug fixes\n\n- **Segfault when taggers misconfigured**: Fixed crash when `enable-job-taggers` is set but tagger rule directories are missing\n- **GroupBy stats query complexity**: Reduced complexity for `groupBy` statistics queries\n- **Ranged filter conditions**: Fixed GT and LT conditions in ranged filters\n- **Energy filter preset**: Reduced energy filter preset to a more practical default\n- **JSON validity check**: Fixed wrong field being checked for JSON validity\n- **Tagger float rounding**: Fixed rounding of floats in tagger messages\n- **Node view null safety**: Added null-safe checks in node view to prevent runtime errors\n- **Public dashboard null safety**: Added null-safe checks in the public dashboard to prevent runtime errors\n\n### Frontend\n\n- **Bumped patch versions**: Updated frontend dependencies to latest patch versions\n\n### Documentation\n\n- **New DB config options**: Added new database configuration options to README\n\n---\n\n*The sections below document all features and changes introduced in the 1.5.0 major release, which 1.5.1 is based on.*\n\n## Breaking changes\n\n### Configuration changes\n\n- **JSON attribute naming**: All JSON configuration attributes now use `kebab-case`\n style consistently (e.g., `api-allowed-ips` instead of `apiAllowedIPs`).\n Update your `config.json` accordingly.\n- **Removed `disable-archive` option**: This obsolete configuration option has been removed.\n- **Removed `clusters` config section**: The separate clusters configuration section\n has been removed. Cluster information is now derived from the job archive.\n- **`apiAllowedIPs` is now optional**: If not specified, defaults to not\n restricted.\n\n### Architecture changes\n\n- **Web framework replaced**: Migrated from `gorilla/mux` to `chi` as the HTTP\n router. This should be transparent to users but affects how middleware and\n routes are composed. A proper 404 handler is now in place.\n- **MetricStore moved**: The `metricstore` package has been moved from `internal/`\n to `pkg/` as it is now part of the public API.\n- **MySQL/MariaDB support removed**: Only SQLite is now supported as the database backend.\n- **Archive to Cleanup renaming**: Archive-related functions have been refactored\n and renamed to \"Cleanup\" for clarity.\n- **`minRunningFor` filter removed**: This undocumented filter has been removed\n from the API and frontend.\n\n### Dependency changes\n\n- **cc-lib v2.8.0**: Switched to cc-lib version 2 with updated APIs\n- **cclib NATS client**: Now using the cclib NATS client implementation\n- Removed obsolete `util.Float` usage from cclib\n\n## Major new features\n\n### NATS API Integration\n\n- **Real-time job events**: Subscribe to job start/stop events via NATS\n- **Node state updates**: Receive real-time node state changes via NATS\n- **Configurable subjects**: NATS API subjects are now configurable via `api-subjects`\n- **Deadlock fixes**: Improved NATS client stability and graceful shutdown\n\n### Public Dashboard\n\n- **Public-facing interface**: New public dashboard route for external users\n- **DoubleMetricPlot component**: New visualization component for comparing metrics\n- **Improved layout**: Reviewed and optimized dashboard layouts for better readability\n\n### Enhanced Node Management\n\n- **Node state tracking**: New node table in database with timestamp tracking\n- **Node state filtering**: Filter jobs by node state in systems view\n- **Node list enhancements**: Improved paging, filtering, and continuous scroll support\n- **Nodestate retention and archiving**: Node state data is now subject to configurable\n retention policies and can be archived to Parquet format for long-term storage\n- **Faulty node metric tracking**: Faulty node state metric lists are persisted to the database\n\n### Health Monitoring\n\n- **Health status dashboard**: New dedicated \"Health\" tab in the status details view\n showing per-node metric health across the cluster\n- **CCMS health check**: Support for querying health status of external\n cc-metric-store (CCMS) instances via the API\n- **GraphQL health endpoints**: New GraphQL queries and resolvers for health data\n- **Cluster/subcluster filter**: Filter health status view by cluster or subcluster\n\n### Log Viewer\n\n- **Web-based log viewer**: New log viewer page in the admin interface for inspecting\n backend log output directly from the browser without shell access\n- **Accessible from header**: Quick access link from the navigation header\n\n### MetricStore Improvements\n\n- **Memory tracking worker**: New worker for CCMS memory usage tracking\n- **Dynamic retention**: Support for job specific dynamic retention times\n- **Improved compression**: Transparent compression for job archive imports\n- **Parallel processing**: Parallelized Iter function in all archive backends\n\n### Job Tagging System\n\n- **Job tagger option**: Enable automatic job tagging via configuration flag\n- **Application detection**: Automatic detection of applications (MATLAB, GROMACS, etc.)\n- **Job classification**: Automatic detection of pathological jobs\n- **omit-tagged**: Option to exclude tagged jobs from retention/cleanup operations (`none`, `all`, or `user`)\n- **Admin UI trigger**: Taggers can be run on-demand from the admin web interface\n without restarting the backend\n\n### Archive Backends\n\n- **Parquet archive format**: New Parquet file format for job archiving, providing\n columnar storage with efficient compression for analytical workloads\n- **S3 backend**: Full support for S3-compatible object storage\n- **SQLite backend**: Full support for SQLite backend using blobs\n- **Performance improvements**: Fixed performance bugs in archive backends\n- **Better error handling**: Improved error messages and fallback handling\n- **Zstd compression**: Parquet writers use zstd compression for better\n compression ratios compared to the previous snappy default\n- **Optimized sort order**: Job and nodestate Parquet files are sorted by\n cluster, subcluster, and start time for efficient range queries\n\n### Unified Archive Retention and Format Conversion\n\n- **Uniform retention policy**: Job archive retention now supports both JSON and\n Parquet as target formats under a single, consistent policy configuration\n- **Archive manager tool**: The `tools/archive-manager` utility now supports\n format conversion between JSON and Parquet job archives\n- **Parquet reader**: Full Parquet archive reader implementation for reading back\n archived job data\n\n## New features and improvements\n\n### Frontend\n\n- **Loading indicators**: Added loading indicators to status detail and job lists\n- **Job info layout**: Reviewed and improved job info row layout\n- **Metric selection**: Enhanced metric selection with drag-and-drop fixes\n- **Filter presets**: Move list filter preset to URL for easy sharing\n- **Job comparison**: Improved job comparison views and plots\n- **Subcluster reactivity**: Job list now reacts to subcluster filter changes\n- **Short jobs quick selection**: New \"Short jobs\" quick-filter button in job lists\n replaces the removed undocumented `minRunningFor` filter\n- **Row plot cursor sync**: Cursor position is now synchronized across all metric\n plots in a job list row for easier cross-metric comparison\n- **Disabled metrics handling**: Improved handling and display of disabled metrics\n across job view, node view, and list rows\n- **\"Not configured\" info cards**: Informational cards shown when optional features\n are not yet configured\n- **Frontend dependencies**: Bumped frontend dependencies to latest versions\n- **Svelte 5 compatibility**: Fixed Svelte state warnings and compatibility issues\n\n### Backend\n\n- **Progress bars**: Import function now shows progress during long operations\n- **Better logging**: Improved logging with appropriate log levels throughout\n- **Graceful shutdown**: Fixed shutdown timeout bugs and hanging issues\n- **Configuration defaults**: Sensible defaults for most configuration options\n- **Documentation**: Extensive documentation improvements across packages\n- **Server flag in systemd unit**: Example systemd unit now includes the `-server` flag\n\n### Security\n\n- **LDAP security hardening**: Improved input validation, connection handling, and\n error reporting in the LDAP authenticator\n- **OIDC security hardening**: Stricter token validation and improved error handling\n in the OIDC authenticator\n- **Auth schema extensions**: Additional schema fields for improved auth configuration\n\n### API improvements\n\n- **Role-based metric visibility**: Metrics can now have role-based access control\n- **Job exclusivity filter**: New filter for exclusive vs. shared jobs\n- **Improved error messages**: Better error messages and documentation in REST API\n- **GraphQL enhancements**: Improved GraphQL queries and resolvers\n- **Stop job lookup order**: Reversed lookup order in stop job requests for\n more reliable job matching (cluster+jobId first, then jobId alone)\n\n### Performance\n\n- **Database indices**: Optimized SQLite indices for better query performance\n- **Job cache**: Introduced caching table for faster job inserts\n- **Parallel imports**: Archive imports now run in parallel where possible\n- **External tool integration**: Optimized use of external tools (fd) for better performance\n- **Node repository queries**: Reviewed and optimized node repository SQL queries\n- **Buffer pool**: Resized and pooled internal buffers for better memory reuse\n\n### Developer experience\n\n- **AI agent guidelines**: Added documentation for AI coding agents (AGENTS.md, CLAUDE.md)\n- **Example API payloads**: Added example JSON API payloads for testing\n- **Unit tests**: Added more unit tests for NATS API, node repository, and other components\n- **Test improvements**: Better test coverage; test DB is now copied before unit tests\n to avoid state pollution between test runs\n- **Parquet writer tests**: Comprehensive tests for Parquet archive writing and conversion\n\n## Bug fixes\n\n- Fixed nodelist paging issues\n- Fixed metric select drag and drop functionality\n- Fixed render race conditions in nodeList\n- Fixed tag count grouping including type\n- Fixed wrong metricstore schema (missing comma)\n- Fixed configuration issues causing shutdown hangs\n- Fixed deadlock when NATS is not configured\n- Fixed archive backend performance bugs\n- Fixed continuous scroll buildup on refresh\n- Improved footprint calculation logic\n- Fixed polar plot data query decoupling\n- Fixed missing resolution parameter handling\n- Fixed node table initialization fallback\n- Fixed reactivity key placement in nodeList\n- Fixed nodeList resolver data handling and increased nodestate filter cutoff\n- Fixed job always being transferred to main job table before archiving\n- Fixed AppTagger error handling and logging\n- Fixed log endpoint formatting and correctness\n- Fixed automatic refresh in metric status tab\n- Fixed NULL value handling in `health_state` and `health_metrics` columns\n- Fixed bugs related to `job_cache` IDs being used in the main job table\n- Fixed SyncJobs bug causing start job hooks to be called with wrong (cache) IDs\n- Fixed 404 handler route for sub-routers\n\n## Configuration changes\n\n### New configuration options\n\n```json\n{\n \"main\": {\n \"enable-job-taggers\": true,\n \"resampling\": {\n \"minimum-points\": 600,\n \"trigger\": 180,\n \"resolutions\": [240, 60]\n },\n \"api-subjects\": {\n \"subject-job-event\": \"cc.job.event\",\n \"subject-node-state\": \"cc.node.state\"\n }\n },\n \"nats\": {\n \"address\": \"nats://0.0.0.0:4222\",\n \"username\": \"root\",\n \"password\": \"root\"\n },\n \"cron\": {\n \"commit-job-worker\": \"1m\",\n \"duration-worker\": \"5m\",\n \"footprint-worker\": \"10m\"\n },\n \"metric-store\": {\n \"cleanup\": {\n \"mode\": 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`processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/f12048ec-dcf9-4d07-a9c1-0916c9882538.jsonl"},"uuid":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","timestamp":"2026-03-13T08:03:08.332Z","planContent":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018FwVAF94DAfeRuYNMqFYwV","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the files I need to modify."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9929,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9929},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjLJQif5aqRtUhD5PCh","type":"assistant","uuid":"6a69f88b-47f1-4485-97b5-c8b605e95d73","timestamp":"2026-03-13T08:03:15.049Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"6a69f88b-47f1-4485-97b5-c8b605e95d73","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018FwVAF94DAfeRuYNMqFYwV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012N5EPRZueRCJian6TZ74W4","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9929,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":9929},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjLJQif5aqRtUhD5PCh","type":"assistant","uuid":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","timestamp":"2026-03-13T08:03:16.018Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_012N5EPRZueRCJian6TZ74W4","toolUseID":"toolu_012N5EPRZueRCJian6TZ74W4","timestamp":"2026-03-13T08:03:16.027Z","uuid":"580b094f-88c2-4145-8165-409bbbf4bede","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012N5EPRZueRCJian6TZ74W4","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n 7→//\n 8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n 9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n 10→// truly continuous (per-write) crash safety.\n 11→//\n 12→// # Architecture\n 13→//\n 14→//\tMetric write (DecodeLine)\n 15→//\t │\n 16→//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n 17→//\t │\n 18→//\t └─► WALMessages channel\n 19→//\t │\n 20→//\t ▼\n 21→//\t WALStaging goroutine\n 22→//\t │\n 23→//\t ▼\n 24→//\t checkpoints/cluster/host/current.wal (append-only, binary)\n 25→//\n 26→//\tPeriodic checkpoint (Checkpointing goroutine):\n 27→//\t 1. Write .bin snapshot (column-oriented, from main tree)\n 28→//\t 2. Signal WALStaging to truncate current.wal per host\n 29→//\n 30→//\tOn restart (FromCheckpoint):\n 31→//\t 1. Load most recent .bin snapshot\n 32→//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n 33→//\n 34→// # WAL Record Format\n 35→//\n 36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n 37→//\n 38→//\tpayload:\n 39→//\t [8B timestamp int64]\n 40→//\t [2B metric_name_len uint16][N metric name bytes]\n 41→//\t [1B selector_count uint8]\n 42→//\t per selector: [1B selector_len uint8][M selector bytes]\n 43→//\t [4B value float32 bits]\n 44→//\n 45→// # Binary Snapshot Format\n 46→//\n 47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n 48→//\tLevel tree (recursive):\n 49→//\t [4B num_metrics uint32]\n 50→//\t per metric:\n 51→//\t [2B name_len uint16][N name bytes]\n 52→//\t [8B frequency int64][8B start int64]\n 53→//\t [4B num_values uint32][num_values × 4B float32]\n 54→//\t [4B num_children uint32]\n 55→//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\n 56→package metricstore\n 57→\n 58→import (\n 59→\t\"bufio\"\n 60→\t\"context\"\n 61→\t\"encoding/binary\"\n 62→\t\"fmt\"\n 63→\t\"hash/crc32\"\n 64→\t\"io\"\n 65→\t\"math\"\n 66→\t\"os\"\n 67→\t\"path\"\n 68→\t\"strings\"\n 69→\t\"sync\"\n 70→\t\"sync/atomic\"\n 71→\n 72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 74→)\n 75→\n 76→// Magic numbers for binary formats.\n 77→const (\n 78→\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n 79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n 80→\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n 81→)\n 82→\n 83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n 84→// Buffered to allow burst writes without blocking the metric ingestion path.\n 85→var WALMessages = make(chan *WALMessage, 4096)\n 86→\n 87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n 88→// (close, delete, reopen) after a binary snapshot has been written.\n 89→var walRotateCh = make(chan walRotateReq, 256)\n 90→\n 91→// WALMessage represents a single metric write to be appended to the WAL.\n 92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n 93→type WALMessage struct {\n 94→\tMetricName string\n 95→\tCluster string\n 96→\tNode string\n 97→\tSelector []string\n 98→\tValue schema.Float\n 99→\tTimestamp int64\n 100→}\n 101→\n 102→// walRotateReq requests WAL file rotation for a specific host directory.\n 103→// The done channel is closed by the WAL goroutine when rotation is complete.\n 104→type walRotateReq struct {\n 105→\thostDir string\n 106→\tdone chan struct{}\n 107→}\n 108→\n 109→// walFileState holds an open WAL file handle for one host directory.\n 110→type walFileState struct {\n 111→\tf *os.File\n 112→}\n 113→\n 114→// WALStaging starts a background goroutine that receives WALMessage items\n 115→// and appends binary WAL records to per-host current.wal files.\n 116→// Also handles WAL rotation requests from the checkpoint goroutine.\n 117→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n 118→\twg.Go(func() {\n 119→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n 120→\t\t\treturn\n 121→\t\t}\n 122→\n 123→\t\thostFiles := make(map[string]*walFileState)\n 124→\n 125→\t\tdefer func() {\n 126→\t\t\tfor _, ws := range hostFiles {\n 127→\t\t\t\tif ws.f != nil {\n 128→\t\t\t\t\tws.f.Close()\n 129→\t\t\t\t}\n 130→\t\t\t}\n 131→\t\t}()\n 132→\n 133→\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n 134→\t\t\tws, ok := hostFiles[hostDir]\n 135→\t\t\tif ok {\n 136→\t\t\t\treturn ws.f\n 137→\t\t\t}\n 138→\n 139→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n 140→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n 141→\t\t\t\treturn nil\n 142→\t\t\t}\n 143→\n 144→\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n 145→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n 146→\t\t\tif err != nil {\n 147→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n 148→\t\t\t\treturn nil\n 149→\t\t\t}\n 150→\n 151→\t\t\t// Write file header magic if file is new (empty).\n 152→\t\t\tinfo, err := f.Stat()\n 153→\t\t\tif err == nil && info.Size() == 0 {\n 154→\t\t\t\tvar hdr [4]byte\n 155→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n 156→\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n 157→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n 158→\t\t\t\t\tf.Close()\n 159→\t\t\t\t\treturn nil\n 160→\t\t\t\t}\n 161→\t\t\t}\n 162→\n 163→\t\t\thostFiles[hostDir] = &walFileState{f: f}\n 164→\t\t\treturn f\n 165→\t\t}\n 166→\n 167→\t\tprocessMsg := func(msg *WALMessage) {\n 168→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n 169→\t\t\tf := getOrOpenWAL(hostDir)\n 170→\t\t\tif f == nil {\n 171→\t\t\t\treturn\n 172→\t\t\t}\n 173→\t\t\tif err := writeWALRecord(f, msg); err != nil {\n 174→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n 175→\t\t\t}\n 176→\t\t}\n 177→\n 178→\t\tprocessRotate := func(req walRotateReq) {\n 179→\t\t\tws, ok := hostFiles[req.hostDir]\n 180→\t\t\tif ok && ws.f != nil {\n 181→\t\t\t\tws.f.Close()\n 182→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n 183→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 184→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 185→\t\t\t\t}\n 186→\t\t\t\tdelete(hostFiles, req.hostDir)\n 187→\t\t\t}\n 188→\t\t\tclose(req.done)\n 189→\t\t}\n 190→\n 191→\t\tdrain := func() {\n 192→\t\t\tfor {\n 193→\t\t\t\tselect {\n 194→\t\t\t\tcase msg, ok := <-WALMessages:\n 195→\t\t\t\t\tif !ok {\n 196→\t\t\t\t\t\treturn\n 197→\t\t\t\t\t}\n 198→\t\t\t\t\tprocessMsg(msg)\n 199→\t\t\t\tcase req := <-walRotateCh:\n 200→\t\t\t\t\tprocessRotate(req)\n 201→\t\t\t\tdefault:\n 202→\t\t\t\t\treturn\n 203→\t\t\t\t}\n 204→\t\t\t}\n 205→\t\t}\n 206→\n 207→\t\tfor {\n 208→\t\t\tselect {\n 209→\t\t\tcase <-ctx.Done():\n 210→\t\t\t\tdrain()\n 211→\t\t\t\treturn\n 212→\t\t\tcase msg, ok := <-WALMessages:\n 213→\t\t\t\tif !ok {\n 214→\t\t\t\t\treturn\n 215→\t\t\t\t}\n 216→\t\t\t\tprocessMsg(msg)\n 217→\t\t\tcase req := <-walRotateCh:\n 218→\t\t\t\tprocessRotate(req)\n 219→\t\t\t}\n 220→\t\t}\n 221→\t})\n 222→}\n 223→\n 224→// RotateWALFiles sends rotation requests for the given host directories\n 225→// and blocks until all rotations complete.\n 226→func RotateWALFiles(hostDirs []string) {\n 227→\tdones := make([]chan struct{}, len(hostDirs))\n 228→\tfor i, dir := range hostDirs {\n 229→\t\tdones[i] = make(chan struct{})\n 230→\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n 231→\t}\n 232→\tfor _, done := range dones {\n 233→\t\t<-done\n 234→\t}\n 235→}\n 236→\n 237→// RotateWALFiles sends rotation requests for the given host directories\n 238→// and blocks until all rotations complete.\n 239→func RotateWALFilesAfterShutdown(hostDirs []string) {\n 240→\tfor _, dir := range hostDirs {\n 241→\t\twalPath := path.Join(dir, \"current.wal\")\n 242→\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 243→\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 244→\t\t}\n 245→\t}\n 246→}\n 247→\n 248→// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\n 249→func buildWALPayload(msg *WALMessage) []byte {\n 250→\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n 251→\tfor _, s := range msg.Selector {\n 252→\t\tsize += 1 + len(s)\n 253→\t}\n 254→\n 255→\tbuf := make([]byte, 0, size)\n 256→\n 257→\t// Timestamp (8 bytes, little-endian int64)\n 258→\tvar ts [8]byte\n 259→\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n 260→\tbuf = append(buf, ts[:]...)\n 261→\n 262→\t// Metric name (2-byte length prefix + bytes)\n 263→\tvar mLen [2]byte\n 264→\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n 265→\tbuf = append(buf, mLen[:]...)\n 266→\tbuf = append(buf, msg.MetricName...)\n 267→\n 268→\t// Selector count (1 byte)\n 269→\tbuf = append(buf, byte(len(msg.Selector)))\n 270→\n 271→\t// Selectors (1-byte length prefix + bytes each)\n 272→\tfor _, sel := range msg.Selector {\n 273→\t\tbuf = append(buf, byte(len(sel)))\n 274→\t\tbuf = append(buf, sel...)\n 275→\t}\n 276→\n 277→\t// Value (4 bytes, float32 bit representation)\n 278→\tvar val [4]byte\n 279→\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n 280→\tbuf = append(buf, val[:]...)\n 281→\n 282→\treturn buf\n 283→}\n 284→\n 285→// writeWALRecord appends a binary WAL record to the file.\n 286→// Format: [4B magic][4B payload_len][payload][4B CRC32]\n 287→func writeWALRecord(f *os.File, msg *WALMessage) error {\n 288→\tpayload := buildWALPayload(msg)\n 289→\tcrc := crc32.ChecksumIEEE(payload)\n 290→\n 291→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n 292→\n 293→\tvar magic [4]byte\n 294→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n 295→\trecord = append(record, magic[:]...)\n 296→\n 297→\tvar pLen [4]byte\n 298→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n 299→\trecord = append(record, pLen[:]...)\n 300→\n 301→\trecord = append(record, payload...)\n 302→\n 303→\tvar crcBytes [4]byte\n 304→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n 305→\trecord = append(record, crcBytes[:]...)\n 306→\n 307→\t_, err := f.Write(record)\n 308→\treturn err\n 309→}\n 310→\n 311→// readWALRecord reads one WAL record from the reader.\n 312→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n 313→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n 314→func readWALRecord(r io.Reader) (*WALMessage, error) {\n 315→\tvar magic uint32\n 316→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n 317→\t\tif err == io.EOF {\n 318→\t\t\treturn nil, nil // Clean EOF\n 319→\t\t}\n 320→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n 321→\t}\n 322→\n 323→\tif magic != walRecordMagic {\n 324→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n 325→\t}\n 326→\n 327→\tvar payloadLen uint32\n 328→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n 329→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n 330→\t}\n 331→\n 332→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n 333→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n 334→\t}\n 335→\n 336→\tpayload := make([]byte, payloadLen)\n 337→\tif _, err := io.ReadFull(r, payload); err != nil {\n 338→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n 339→\t}\n 340→\n 341→\tvar storedCRC uint32\n 342→\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n 343→\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n 344→\t}\n 345→\n 346→\tif crc32.ChecksumIEEE(payload) != storedCRC {\n 347→\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n 348→\t}\n 349→\n 350→\treturn parseWALPayload(payload)\n 351→}\n 352→\n 353→// parseWALPayload decodes a binary payload into a WALMessage.\n 354→func parseWALPayload(payload []byte) (*WALMessage, error) {\n 355→\tif len(payload) < 8+2+1+4 {\n 356→\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n 357→\t}\n 358→\n 359→\toffset := 0\n 360→\n 361→\t// Timestamp (8 bytes)\n 362→\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n 363→\toffset += 8\n 364→\n 365→\t// Metric name (2-byte length + bytes)\n 366→\tif offset+2 > len(payload) {\n 367→\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n 368→\t}\n 369→\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n 370→\toffset += 2\n 371→\n 372→\tif offset+mLen > len(payload) {\n 373→\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n 374→\t}\n 375→\tmetricName := string(payload[offset : offset+mLen])\n 376→\toffset += mLen\n 377→\n 378→\t// Selector count (1 byte)\n 379→\tif offset >= len(payload) {\n 380→\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n 381→\t}\n 382→\tselCount := int(payload[offset])\n 383→\toffset++\n 384→\n 385→\tselectors := make([]string, selCount)\n 386→\tfor i := range selCount {\n 387→\t\tif offset >= len(payload) {\n 388→\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n 389→\t\t}\n 390→\t\tsLen := int(payload[offset])\n 391→\t\toffset++\n 392→\n 393→\t\tif offset+sLen > len(payload) {\n 394→\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n 395→\t\t}\n 396→\t\tselectors[i] = string(payload[offset : offset+sLen])\n 397→\t\toffset += sLen\n 398→\t}\n 399→\n 400→\t// Value (4 bytes, float32 bits)\n 401→\tif offset+4 > len(payload) {\n 402→\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n 403→\t}\n 404→\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n 405→\tvalue := schema.Float(math.Float32frombits(bits))\n 406→\n 407→\treturn &WALMessage{\n 408→\t\tMetricName: metricName,\n 409→\t\tTimestamp: ts,\n 410→\t\tSelector: selectors,\n 411→\t\tValue: value,\n 412→\t}, nil\n 413→}\n 414→\n 415→// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n 416→// l is the host-level node. Corrupt or partial trailing records are silently skipped\n 417→// (expected on crash). Records older than 'from' are skipped.\n 418→func (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n 419→\tbr := bufio.NewReader(f)\n 420→\n 421→\t// Verify file header magic.\n 422→\tvar fileMagic uint32\n 423→\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n 424→\t\tif err == io.EOF {\n 425→\t\t\treturn nil // Empty file, no data\n 426→\t\t}\n 427→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n 428→\t}\n 429→\n 430→\tif fileMagic != walFileMagic {\n 431→\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n 432→\t}\n 433→\n 434→\t// Cache level lookups to avoid repeated tree traversal.\n 435→\tlvlCache := make(map[string]*Level)\n 436→\n 437→\tfor {\n 438→\t\tmsg, err := readWALRecord(br)\n 439→\t\tif err != nil {\n 440→\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n 441→\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n 442→\t\t\tbreak\n 443→\t\t}\n 444→\t\tif msg == nil {\n 445→\t\t\tbreak // Clean EOF\n 446→\t\t}\n 447→\n 448→\t\tif msg.Timestamp < from {\n 449→\t\t\tcontinue // Older than retention window\n 450→\t\t}\n 451→\n 452→\t\tminfo, ok := m.Metrics[msg.MetricName]\n 453→\t\tif !ok {\n 454→\t\t\tcontinue // Unknown metric (config may have changed)\n 455→\t\t}\n 456→\n 457→\t\t// Cache key is the null-separated selector path.\n 458→\t\tcacheKey := joinSelector(msg.Selector)\n 459→\t\tlvl, ok := lvlCache[cacheKey]\n 460→\t\tif !ok {\n 461→\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n 462→\t\t\tlvlCache[cacheKey] = lvl\n 463→\t\t}\n 464→\n 465→\t\t// Write directly to the buffer, same as WriteToLevel but without the\n 466→\t\t// global level lookup (we already have the right level).\n 467→\t\tlvl.lock.Lock()\n 468→\t\tb := lvl.metrics[minfo.offset]\n 469→\t\tif b == nil {\n 470→\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n 471→\t\t\tlvl.metrics[minfo.offset] = b\n 472→\t\t}\n 473→\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n 474→\t\tif writeErr == nil && b != nb {\n 475→\t\t\tlvl.metrics[minfo.offset] = nb\n 476→\t\t}\n 477→\t\t// Ignore write errors for timestamps before buffer start (can happen when\n 478→\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n 479→\t\tlvl.lock.Unlock()\n 480→\t}\n 481→\n 482→\treturn nil\n 483→}\n 484→\n 485→// joinSelector builds a cache key from a selector slice using null bytes as separators.\n 486→func joinSelector(sel []string) string {\n 487→\tif len(sel) == 0 {\n 488→\t\treturn \"\"\n 489→\t}\n 490→\tvar result strings.Builder\n 491→\tresult.WriteString(sel[0])\n 492→\tfor i := 1; i < len(sel); i++ {\n 493→\t\tresult.WriteString(\"\\x00\" + sel[i])\n 494→\t}\n 495→\treturn result.String()\n 496→}\n 497→\n 498→// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n 499→// Returns the number of files written, the list of host directories that were\n 500→// successfully checkpointed (for WAL rotation), and any errors.\n 501→func (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n 502→\t// Collect all cluster/host pairs.\n 503→\tm.root.lock.RLock()\n 504→\ttotalHosts := 0\n 505→\tfor _, l1 := range m.root.children {\n 506→\t\tl1.lock.RLock()\n 507→\t\ttotalHosts += len(l1.children)\n 508→\t\tl1.lock.RUnlock()\n 509→\t}\n 510→\tm.root.lock.RUnlock()\n 511→\n 512→\tlevels := make([]*Level, 0, totalHosts)\n 513→\tselectors := make([][]string, 0, totalHosts)\n 514→\n 515→\tm.root.lock.RLock()\n 516→\tfor sel1, l1 := range m.root.children {\n 517→\t\tl1.lock.RLock()\n 518→\t\tfor sel2, l2 := range l1.children {\n 519→\t\t\tlevels = append(levels, l2)\n 520→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n 521→\t\t}\n 522→\t\tl1.lock.RUnlock()\n 523→\t}\n 524→\tm.root.lock.RUnlock()\n 525→\n 526→\ttype workItem struct {\n 527→\t\tlevel *Level\n 528→\t\thostDir string\n 529→\t\tselector []string\n 530→\t}\n 531→\n 532→\tn, errs := int32(0), int32(0)\n 533→\tvar successDirs []string\n 534→\tvar successMu sync.Mutex\n 535→\n 536→\tvar wg sync.WaitGroup\n 537→\twg.Add(Keys.NumWorkers)\n 538→\twork := make(chan workItem, Keys.NumWorkers*2)\n 539→\n 540→\tfor range Keys.NumWorkers {\n 541→\t\tgo func() {\n 542→\t\t\tdefer wg.Done()\n 543→\t\t\tfor wi := range work {\n 544→\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n 545→\t\t\t\tif err != nil {\n 546→\t\t\t\t\tif err == ErrNoNewArchiveData {\n 547→\t\t\t\t\t\tcontinue\n 548→\t\t\t\t\t}\n 549→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n 550→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 551→\t\t\t\t} else {\n 552→\t\t\t\t\tatomic.AddInt32(&n, 1)\n 553→\t\t\t\t\tsuccessMu.Lock()\n 554→\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n 555→\t\t\t\t\tsuccessMu.Unlock()\n 556→\t\t\t\t}\n 557→\t\t\t}\n 558→\t\t}()\n 559→\t}\n 560→\n 561→\tfor i := range levels {\n 562→\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n 563→\t\twork <- workItem{\n 564→\t\t\tlevel: levels[i],\n 565→\t\t\thostDir: hostDir,\n 566→\t\t\tselector: selectors[i],\n 567→\t\t}\n 568→\t}\n 569→\tclose(work)\n 570→\twg.Wait()\n 571→\n 572→\tif errs > 0 {\n 573→\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n 574→\t}\n 575→\treturn int(n), successDirs, nil\n 576→}\n 577→\n 578→// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n 579→// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\n 580→func (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n 581→\tcf, err := l.toCheckpointFile(from, to, m)\n 582→\tif err != nil {\n 583→\t\treturn err\n 584→\t}\n 585→\tif cf == nil {\n 586→\t\treturn ErrNoNewArchiveData\n 587→\t}\n 588→\n 589→\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n 590→\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n 591→\t}\n 592→\n 593→\t// Write to a temp file first, then rename (atomic on POSIX).\n 594→\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n 595→\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n 596→\n 597→\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 598→\tif err != nil {\n 599→\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n 600→\t}\n 601→\n 602→\tbw := bufio.NewWriter(f)\n 603→\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n 604→\t\tf.Close()\n 605→\t\tos.Remove(tmpPath)\n 606→\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n 607→\t}\n 608→\tif err := bw.Flush(); err != nil {\n 609→\t\tf.Close()\n 610→\t\tos.Remove(tmpPath)\n 611→\t\treturn err\n 612→\t}\n 613→\tf.Close()\n 614→\n 615→\treturn os.Rename(tmpPath, finalPath)\n 616→}\n 617→\n 618→// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\n 619→func writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n 620→\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n 621→\t\treturn err\n 622→\t}\n 623→\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n 624→\t\treturn err\n 625→\t}\n 626→\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n 627→\t\treturn err\n 628→\t}\n 629→\treturn writeBinaryLevel(w, cf)\n 630→}\n 631→\n 632→// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\n 633→func writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n 634→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n 635→\t\treturn err\n 636→\t}\n 637→\n 638→\tfor name, metric := range cf.Metrics {\n 639→\t\tif err := writeString16(w, name); err != nil {\n 640→\t\t\treturn err\n 641→\t\t}\n 642→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n 643→\t\t\treturn err\n 644→\t\t}\n 645→\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n 646→\t\t\treturn err\n 647→\t\t}\n 648→\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n 649→\t\t\treturn err\n 650→\t\t}\n 651→\t\tfor _, v := range metric.Data {\n 652→\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n 653→\t\t\t\treturn err\n 654→\t\t\t}\n 655→\t\t}\n 656→\t}\n 657→\n 658→\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n 659→\t\treturn err\n 660→\t}\n 661→\n 662→\tfor name, child := range cf.Children {\n 663→\t\tif err := writeString16(w, name); err != nil {\n 664→\t\t\treturn err\n 665→\t\t}\n 666→\t\tif err := writeBinaryLevel(w, child); err != nil {\n 667→\t\t\treturn err\n 668→\t\t}\n 669→\t}\n 670→\n 671→\treturn nil\n 672→}\n 673→\n 674→// writeString16 writes a 2-byte length-prefixed string to w.\n 675→func writeString16(w io.Writer, s string) error {\n 676→\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n 677→\t\treturn err\n 678→\t}\n 679→\t_, err := io.WriteString(w, s)\n 680→\treturn err\n 681→}\n 682→\n 683→// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n 684→// The retention check (from) is applied to the file's 'to' timestamp.\n 685→func (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n 686→\tbr := bufio.NewReader(f)\n 687→\n 688→\tvar magic uint32\n 689→\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n 690→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n 691→\t}\n 692→\tif magic != snapFileMagic {\n 693→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n 694→\t}\n 695→\n 696→\tvar fileFrom, fileTo int64\n 697→\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n 698→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n 699→\t}\n 700→\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n 701→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n 702→\t}\n 703→\n 704→\tif fileTo != 0 && fileTo < from {\n 705→\t\treturn nil // File is older than retention window, skip it\n 706→\t}\n 707→\n 708→\tcf, err := readBinaryLevel(br)\n 709→\tif err != nil {\n 710→\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n 711→\t}\n 712→\tcf.From = fileFrom\n 713→\tcf.To = fileTo\n 714→\n 715→\treturn l.loadFile(cf, m)\n 716→}\n 717→\n 718→// readBinaryLevel recursively reads a level from the binary snapshot format.\n 719→func readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n 720→\tcf := &CheckpointFile{\n 721→\t\tMetrics: make(map[string]*CheckpointMetrics),\n 722→\t\tChildren: make(map[string]*CheckpointFile),\n 723→\t}\n 724→\n 725→\tvar numMetrics uint32\n 726→\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n 727→\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n 728→\t}\n 729→\n 730→\tfor range numMetrics {\n 731→\t\tname, err := readString16(r)\n 732→\t\tif err != nil {\n 733→\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n 734→\t\t}\n 735→\n 736→\t\tvar freq, start int64\n 737→\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n 738→\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n 739→\t\t}\n 740→\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n 741→\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n 742→\t\t}\n 743→\n 744→\t\tvar numValues uint32\n 745→\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n 746→\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n 747→\t\t}\n 748→\n 749→\t\tdata := make([]schema.Float, numValues)\n 750→\t\tfor i := range numValues {\n 751→\t\t\tvar bits uint32\n 752→\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n 753→\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n 754→\t\t\t}\n 755→\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n 756→\t\t}\n 757→\n 758→\t\tcf.Metrics[name] = &CheckpointMetrics{\n 759→\t\t\tFrequency: freq,\n 760→\t\t\tStart: start,\n 761→\t\t\tData: data,\n 762→\t\t}\n 763→\t}\n 764→\n 765→\tvar numChildren uint32\n 766→\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n 767→\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n 768→\t}\n 769→\n 770→\tfor range numChildren {\n 771→\t\tchildName, err := readString16(r)\n 772→\t\tif err != nil {\n 773→\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n 774→\t\t}\n 775→\n 776→\t\tchild, err := readBinaryLevel(r)\n 777→\t\tif err != nil {\n 778→\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n 779→\t\t}\n 780→\t\tcf.Children[childName] = child\n 781→\t}\n 782→\n 783→\treturn cf, nil\n 784→}\n 785→\n 786→// readString16 reads a 2-byte length-prefixed string from r.\n 787→func readString16(r io.Reader) (string, error) {\n 788→\tvar sLen uint16\n 789→\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n 790→\t\treturn \"\", err\n 791→\t}\n 792→\tbuf := make([]byte, sLen)\n 793→\tif _, err := io.ReadFull(r, buf); err != nil {\n 794→\t\treturn \"\", err\n 795→\t}\n 796→\treturn string(buf), nil\n 797→}\n 798→"}]},"uuid":"c575f94f-cc65-4ca8-8ddd-1aa26f11dfee","timestamp":"2026-03-13T08:03:16.027Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","numLines":798,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"cde1dce7-08e3-41fa-a1d4-de5510c3f1dc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c575f94f-cc65-4ca8-8ddd-1aa26f11dfee","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018FwVAF94DAfeRuYNMqFYwV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RjX8AuT1dcze7J7SdFvzNG","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","offset":110,"limit":15},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":9929,"cache_read_input_tokens":8781,"output_tokens":189,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":9929,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjLJQif5aqRtUhD5PCh","type":"assistant","uuid":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","timestamp":"2026-03-13T08:03:16.446Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01RjX8AuT1dcze7J7SdFvzNG","toolUseID":"toolu_01RjX8AuT1dcze7J7SdFvzNG","timestamp":"2026-03-13T08:03:16.450Z","uuid":"6486ae42-1514-48a9-b3ff-f11346931e07","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RjX8AuT1dcze7J7SdFvzNG","type":"tool_result","content":" 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`"}]},"uuid":"d567ec49-a00a-4fdf-8bb0-175df2bd3d16","timestamp":"2026-03-13T08:03:16.450Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`","numLines":15,"startLine":110,"totalLines":255}},"sourceToolAssistantUUID":"39b1f14e-19a6-42c2-8fce-2d16a2770db7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d567ec49-a00a-4fdf-8bb0-175df2bd3d16","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EayjnHu9NvPPTPJNrwWv1t","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11655,"cache_read_input_tokens":18710,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11655},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjLcpzdYcxEJpKjT6yg","type":"assistant","uuid":"7fad88e5-284a-49a1-832b-835fb08be146","timestamp":"2026-03-13T08:03:25.258Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"7fad88e5-284a-49a1-832b-835fb08be146","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EayjnHu9NvPPTPJNrwWv1t","type":"message","role":"assistant","content":[{"type":"text","text":"Now I'll implement both improvements. Let me start with all the edits.\n\n**Improvement 1: WAL buffering** — Add `bufio.Writer` to `walFileState` and use it throughout.\n\n**Improvement 3: Fix MemoryCap comment.**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11655,"cache_read_input_tokens":18710,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11655},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjLcpzdYcxEJpKjT6yg","type":"assistant","uuid":"5c0abb68-5b89-43db-96a6-93262bdc086a","timestamp":"2026-03-13T08:03:26.242Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5c0abb68-5b89-43db-96a6-93262bdc086a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EayjnHu9NvPPTPJNrwWv1t","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WuetEHX1drYV4PwcCrgL4z","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}","new_string":"// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":11655,"cache_read_input_tokens":18710,"output_tokens":576,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":11655,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjLcpzdYcxEJpKjT6yg","type":"assistant","uuid":"15af7cb6-9db4-4588-8030-8d8d99881158","timestamp":"2026-03-13T08:03:28.348Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"15af7cb6-9db4-4588-8030-8d8d99881158","snapshot":{"messageId":"22fbd7ee-87ac-4ddd-b513-e085d3cd54e4","trackedFileBackups":{"pkg/metricstore/walCheckpoint.go":{"backupFileName":"f5b5b4bac0274f50@v1","version":1,"backupTime":"2026-03-13T08:03:28.370Z"}},"timestamp":"2026-03-13T08:03:12.124Z"},"isSnapshotUpdate":true} +{"parentUuid":"15af7cb6-9db4-4588-8030-8d8d99881158","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01WuetEHX1drYV4PwcCrgL4z","toolUseID":"toolu_01WuetEHX1drYV4PwcCrgL4z","timestamp":"2026-03-13T08:03:28.372Z","uuid":"65fc4fd8-3f0f-4133-8c4d-f46f09a217a0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"15af7cb6-9db4-4588-8030-8d8d99881158","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WuetEHX1drYV4PwcCrgL4z","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"b64f5cc6-b943-4c71-b89c-58221cc38338","timestamp":"2026-03-13T08:03:28.371Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}","newString":"// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":106,"oldLines":9,"newStart":106,"newLines":10,"lines":[" done chan struct{}"," }"," ","-// walFileState holds an open WAL file handle for one host directory.","+// walFileState holds an open WAL file handle and buffered writer for one host directory."," type walFileState struct {"," f *os.File","+ w *bufio.Writer"," }"," "," // WALStaging starts a background goroutine that receives WALMessage items"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"15af7cb6-9db4-4588-8030-8d8d99881158","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b64f5cc6-b943-4c71-b89c-58221cc38338","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0188x2hcuuPGt9zJyPunvFCo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()","new_string":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":635,"cache_read_input_tokens":30365,"output_tokens":210,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":635},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjMVnc8poiApSy5FdZg","type":"assistant","uuid":"f9d526f1-9b8e-440a-83d2-09111b6770c5","timestamp":"2026-03-13T08:03:32.026Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f9d526f1-9b8e-440a-83d2-09111b6770c5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","toolUseID":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","timestamp":"2026-03-13T08:03:32.042Z","uuid":"28de42c7-26eb-4ca4-a23e-87857ccf2078","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f9d526f1-9b8e-440a-83d2-09111b6770c5","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrMEm92D8UcFGUcAMpBHWZ","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"d20cf8a4-64ed-4101-87d6-d726bca2e2cc","timestamp":"2026-03-13T08:03:32.041Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()","newString":"\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":126,"oldLines":6,"newStart":126,"newLines":7,"lines":[" defer func() {"," for _, ws := range hostFiles {"," if ws.f != nil {","+ ws.w.Flush()"," ws.f.Close()"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"f9d526f1-9b8e-440a-83d2-09111b6770c5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"d20cf8a4-64ed-4101-87d6-d726bca2e2cc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CPiFo3gZo2o2Mykt9n43sv","type":"message","role":"assistant","content":[{"type":"text","text":"Now change `getOrOpenWAL` to return `*walFileState` and wrap the file with a `bufio.Writer`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":276,"cache_read_input_tokens":31000,"cache_creation":{"ephemeral_5m_input_tokens":276,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjMmWR7JeF3WVtGCo51","type":"assistant","uuid":"f481149d-6d8e-49a1-acb2-c9b31ef6c65c","timestamp":"2026-03-13T08:03:37.749Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f481149d-6d8e-49a1-acb2-c9b31ef6c65c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CPiFo3gZo2o2Mykt9n43sv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01APuPomfy3Cy5ES5VMwug2C","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}","new_string":"\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":276,"cache_read_input_tokens":31000,"output_tokens":946,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":276},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjMmWR7JeF3WVtGCo51","type":"assistant","uuid":"57d6b745-fd0f-4071-883a-2711e6b40917","timestamp":"2026-03-13T08:03:45.553Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"57d6b745-fd0f-4071-883a-2711e6b40917","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01APuPomfy3Cy5ES5VMwug2C","toolUseID":"toolu_01APuPomfy3Cy5ES5VMwug2C","timestamp":"2026-03-13T08:03:45.565Z","uuid":"6ea0e261-2eeb-4c3c-a919-29189061e4d7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"57d6b745-fd0f-4071-883a-2711e6b40917","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01APuPomfy3Cy5ES5VMwug2C","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"4f92ab32-0d09-4b9c-947d-eae5823aca89","timestamp":"2026-03-13T08:03:45.564Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}","newString":"\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":132,"oldLines":10,"newStart":132,"newLines":10,"lines":[" }"," }()"," ","- getOrOpenWAL := func(hostDir string) *os.File {","+ getOrOpenWAL := func(hostDir string) *walFileState {"," ws, ok := hostFiles[hostDir]"," if ok {","- return ws.f","+ return ws"," }"," "," if err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {"]},{"oldStart":150,"oldLines":20,"newStart":150,"newLines":23,"lines":[" return nil"," }"," ","+ w := bufio.NewWriter(f)","+"," // Write file header magic if file is new (empty)."," info, err := f.Stat()"," if err == nil && info.Size() == 0 {"," var hdr [4]byte"," binary.LittleEndian.PutUint32(hdr[:], walFileMagic)","- if _, err := f.Write(hdr[:]); err != nil {","+ if _, err := w.Write(hdr[:]); err != nil {"," cclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)"," f.Close()"," return nil"," }"," }"," ","- hostFiles[hostDir] = &walFileState{f: f}","- return f","+ ws = &walFileState{f: f, w: w}","+ hostFiles[hostDir] = ws","+ return ws"," }"," "," processMsg := func(msg *WALMessage) {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"57d6b745-fd0f-4071-883a-2711e6b40917","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4f92ab32-0d09-4b9c-947d-eae5823aca89","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TrTmA8CG45Sg55giuiGTfE","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `processMsg` to use the buffered writer:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":993,"cache_read_input_tokens":31276,"cache_creation":{"ephemeral_5m_input_tokens":993,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjNmMGQNYdL13HSCoEU","type":"assistant","uuid":"8cbcc024-6faf-4d49-88b5-bfe50209966e","timestamp":"2026-03-13T08:03:47.590Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8cbcc024-6faf-4d49-88b5-bfe50209966e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TrTmA8CG45Sg55giuiGTfE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}","new_string":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":993,"cache_read_input_tokens":31276,"output_tokens":388,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":993},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjNmMGQNYdL13HSCoEU","type":"assistant","uuid":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","timestamp":"2026-03-13T08:03:51.176Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","toolUseID":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","timestamp":"2026-03-13T08:03:51.186Z","uuid":"d98a8f06-10c8-477d-b2ab-c3496ca21fbc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018f7qvUxGMvbQ5wndcRdiQ6","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"c4611ab5-54d1-4825-8ea7-6cb920cc6418","timestamp":"2026-03-13T08:03:51.186Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}","newString":"\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":171,"oldLines":11,"newStart":171,"newLines":11,"lines":[" "," processMsg := func(msg *WALMessage) {"," hostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)","- f := getOrOpenWAL(hostDir)","- if f == nil {","+ ws := getOrOpenWAL(hostDir)","+ if ws == nil {"," return"," }","- if err := writeWALRecord(f, msg); err != nil {","+ if err := writeWALRecord(ws.w, msg); err != nil {"," cclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a8b0c9d2-0abc-4e37-b494-fec2e1a1be10","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c4611ab5-54d1-4825-8ea7-6cb920cc6418","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UNERQNa4FzWNHUaBKkWKzh","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `processRotate` to flush before closing:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":635,"cache_read_input_tokens":32269,"cache_creation":{"ephemeral_5m_input_tokens":635,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjPBRNAA59qKULDdCdH","type":"assistant","uuid":"37b40d4d-ffe8-4946-9adb-33f02075b3a8","timestamp":"2026-03-13T08:03:53.742Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"37b40d4d-ffe8-4946-9adb-33f02075b3a8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01UNERQNa4FzWNHUaBKkWKzh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019xVBEqjuoJKKDUnm78yevb","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","old_string":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}","new_string":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":635,"cache_read_input_tokens":32269,"output_tokens":464,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":635},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjPBRNAA59qKULDdCdH","type":"assistant","uuid":"629b1723-446b-4330-a0a9-65b3a048714c","timestamp":"2026-03-13T08:03:57.108Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"629b1723-446b-4330-a0a9-65b3a048714c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_019xVBEqjuoJKKDUnm78yevb","toolUseID":"toolu_019xVBEqjuoJKKDUnm78yevb","timestamp":"2026-03-13T08:03:57.125Z","uuid":"d031e94d-e541-4547-9db9-3faf4fcbb06a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"629b1723-446b-4330-a0a9-65b3a048714c","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019xVBEqjuoJKKDUnm78yevb","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go has been updated successfully."}]},"uuid":"3087c8a5-8d29-4494-89d0-0c8d2a554ba8","timestamp":"2026-03-13T08:03:57.124Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}","newString":"\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":183,"oldLines":6,"newStart":183,"newLines":7,"lines":[" processRotate := func(req walRotateReq) {"," ws, ok := hostFiles[req.hostDir]"," if ok && ws.f != nil {","+ ws.w.Flush()"," ws.f.Close()"," walPath := path.Join(req.hostDir, \"current.wal\")"," if err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"629b1723-446b-4330-a0a9-65b3a048714c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"3087c8a5-8d29-4494-89d0-0c8d2a554ba8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01VNQJS2FwybWgBCADnNLyCm","type":"message","role":"assistant","content":[{"type":"text","text":"Now add a flush in `drain` after processing remaining 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buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":603,"cache_read_input_tokens":32904,"output_tokens":363,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":603},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjPcidicE1bFXJVFNH7","type":"assistant","uuid":"b07542a8-efab-4943-824d-cad4543386b0","timestamp":"2026-03-13T08:04:02.318Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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successfully."}]},"uuid":"a8cf2d2a-3f23-4048-852e-c8a34b4fa53c","timestamp":"2026-03-13T08:04:02.329Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","oldString":"\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}","newString":"\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_children: %w\", err)\n\t}\n\n\tfor range numChildren {\n\t\tchildName, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child name: %w\", err)\n\t\t}\n\n\t\tchild, err := readBinaryLevel(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read child %s: %w\", childName, err)\n\t\t}\n\t\tcf.Children[childName] = child\n\t}\n\n\treturn cf, nil\n}\n\n// readString16 reads a 2-byte length-prefixed string from r.\nfunc readString16(r io.Reader) (string, error) {\n\tvar sLen uint16\n\tif err := binary.Read(r, binary.LittleEndian, &sLen); err != nil {\n\t\treturn \"\", err\n\t}\n\tbuf := make([]byte, sLen)\n\tif _, err := io.ReadFull(r, buf); err != nil {\n\t\treturn \"\", err\n\t}\n\treturn string(buf), nil\n}\n","structuredPatch":[{"oldStart":205,"oldLines":6,"newStart":205,"newLines":12,"lines":[" case req := <-walRotateCh:"," processRotate(req)"," default:","+ // Flush all buffered writers after draining remaining messages.","+ for _, ws := range hostFiles {","+ if ws.f != nil {","+ ws.w.Flush()","+ }","+ }"," return"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b07542a8-efab-4943-824d-cad4543386b0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a8cf2d2a-3f23-4048-852e-c8a34b4fa53c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018u3kj274fyS3WeADdHT71r","type":"message","role":"assistant","content":[{"type":"text","text":"Now change the `writeWALRecord` signature from `*os.File` to `io.Writer`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":410,"cache_read_input_tokens":33507,"cache_creation":{"ephemeral_5m_input_tokens":410,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjPzy6Yfaa6SCd9fvBg","type":"assistant","uuid":"10c682ac-9e6a-4aaa-99a8-21ff4b146ace","timestamp":"2026-03-13T08:04:04.502Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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[4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}","new_string":"// writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn 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writeWALRecord appends a binary WAL record to the writer.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(w io.Writer, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := w.Write(record)\n\treturn err\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle and buffered writer for one host directory.\ntype walFileState struct {\n\tf *os.File\n\tw *bufio.Writer\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.w.Flush()\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\tw := bufio.NewWriter(f)\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tws = &walFileState{f: f, w: w}\n\t\t\thostFiles[hostDir] = ws\n\t\t\treturn ws\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tws := getOrOpenWAL(hostDir)\n\t\t\tif ws == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.w.Flush()\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n\t\t\t\t\tfor _, ws := range hostFiles {\n\t\t\t\t\t\tif ws.f != nil {\n\t\t\t\t\t\t\tws.w.Flush()\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan struct{})\n\t\twalRotateCh <- walRotateReq{hostDir: dir, done: dones[i]}\n\t}\n\tfor _, done := range dones {\n\t\t<-done\n\t}\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFilesAfterShutdown(hostDirs []string) {\n\tfor _, dir := range hostDirs {\n\t\twalPath := path.Join(dir, \"current.wal\")\n\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t}\n\t}\n}\n\n// buildWALPayload encodes a WALMessage into a binary payload (without magic/length/CRC).\nfunc buildWALPayload(msg *WALMessage) []byte {\n\tsize := 8 + 2 + len(msg.MetricName) + 1 + 4\n\tfor _, s := range msg.Selector {\n\t\tsize += 1 + len(s)\n\t}\n\n\tbuf := make([]byte, 0, size)\n\n\t// Timestamp (8 bytes, little-endian int64)\n\tvar ts [8]byte\n\tbinary.LittleEndian.PutUint64(ts[:], uint64(msg.Timestamp))\n\tbuf = append(buf, ts[:]...)\n\n\t// Metric name (2-byte length prefix + bytes)\n\tvar mLen [2]byte\n\tbinary.LittleEndian.PutUint16(mLen[:], uint16(len(msg.MetricName)))\n\tbuf = append(buf, mLen[:]...)\n\tbuf = append(buf, msg.MetricName...)\n\n\t// Selector count (1 byte)\n\tbuf = append(buf, byte(len(msg.Selector)))\n\n\t// Selectors (1-byte length prefix + bytes each)\n\tfor _, sel := range msg.Selector {\n\t\tbuf = append(buf, byte(len(sel)))\n\t\tbuf = append(buf, sel...)\n\t}\n\n\t// Value (4 bytes, float32 bit representation)\n\tvar val [4]byte\n\tbinary.LittleEndian.PutUint32(val[:], math.Float32bits(float32(msg.Value)))\n\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}\n\n\tvar storedCRC uint32\n\tif err := binary.Read(r, binary.LittleEndian, &storedCRC); err != nil {\n\t\treturn nil, fmt.Errorf(\"read CRC: %w\", err)\n\t}\n\n\tif crc32.ChecksumIEEE(payload) != storedCRC {\n\t\treturn nil, fmt.Errorf(\"CRC mismatch (truncated write or corruption)\")\n\t}\n\n\treturn parseWALPayload(payload)\n}\n\n// parseWALPayload decodes a binary payload into a WALMessage.\nfunc parseWALPayload(payload []byte) (*WALMessage, error) {\n\tif len(payload) < 8+2+1+4 {\n\t\treturn nil, fmt.Errorf(\"payload too short: %d bytes\", len(payload))\n\t}\n\n\toffset := 0\n\n\t// Timestamp (8 bytes)\n\tts := int64(binary.LittleEndian.Uint64(payload[offset : offset+8]))\n\toffset += 8\n\n\t// Metric name (2-byte length + bytes)\n\tif offset+2 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name length overflows payload\")\n\t}\n\tmLen := int(binary.LittleEndian.Uint16(payload[offset : offset+2]))\n\toffset += 2\n\n\tif offset+mLen > len(payload) {\n\t\treturn nil, fmt.Errorf(\"metric name overflows payload\")\n\t}\n\tmetricName := string(payload[offset : offset+mLen])\n\toffset += mLen\n\n\t// Selector count (1 byte)\n\tif offset >= len(payload) {\n\t\treturn nil, fmt.Errorf(\"selector count overflows payload\")\n\t}\n\tselCount := int(payload[offset])\n\toffset++\n\n\tselectors := make([]string, selCount)\n\tfor i := range selCount {\n\t\tif offset >= len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] length overflows payload\", i)\n\t\t}\n\t\tsLen := int(payload[offset])\n\t\toffset++\n\n\t\tif offset+sLen > len(payload) {\n\t\t\treturn nil, fmt.Errorf(\"selector[%d] data overflows payload\", i)\n\t\t}\n\t\tselectors[i] = string(payload[offset : offset+sLen])\n\t\toffset += sLen\n\t}\n\n\t// Value (4 bytes, float32 bits)\n\tif offset+4 > len(payload) {\n\t\treturn nil, fmt.Errorf(\"value overflows payload\")\n\t}\n\tbits := binary.LittleEndian.Uint32(payload[offset : offset+4])\n\tvalue := schema.Float(math.Float32frombits(bits))\n\n\treturn &WALMessage{\n\t\tMetricName: metricName,\n\t\tTimestamp: ts,\n\t\tSelector: selectors,\n\t\tValue: value,\n\t}, nil\n}\n\n// loadWALFile reads a WAL file and replays all valid records into the Level tree.\n// l is the host-level node. Corrupt or partial trailing records are silently skipped\n// (expected on crash). Records older than 'from' are skipped.\nfunc (l *Level) loadWALFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\t// Verify file header magic.\n\tvar fileMagic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &fileMagic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil // Empty file, no data\n\t\t}\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: read file header: %w\", err)\n\t}\n\n\tif fileMagic != walFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> WAL: invalid file magic 0x%08X (expected 0x%08X)\", fileMagic, walFileMagic)\n\t}\n\n\t// Cache level lookups to avoid repeated tree traversal.\n\tlvlCache := make(map[string]*Level)\n\n\tfor {\n\t\tmsg, err := readWALRecord(br)\n\t\tif err != nil {\n\t\t\t// Truncated trailing record is expected after a crash; stop replaying.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> WAL: stopping replay at corrupted/partial record: %v\", err)\n\t\t\tbreak\n\t\t}\n\t\tif msg == nil {\n\t\t\tbreak // Clean EOF\n\t\t}\n\n\t\tif msg.Timestamp < from {\n\t\t\tcontinue // Older than retention window\n\t\t}\n\n\t\tminfo, ok := m.Metrics[msg.MetricName]\n\t\tif !ok {\n\t\t\tcontinue // Unknown metric (config may have changed)\n\t\t}\n\n\t\t// Cache key is the null-separated selector path.\n\t\tcacheKey := joinSelector(msg.Selector)\n\t\tlvl, ok := lvlCache[cacheKey]\n\t\tif !ok {\n\t\t\tlvl = l.findLevelOrCreate(msg.Selector, len(m.Metrics))\n\t\t\tlvlCache[cacheKey] = lvl\n\t\t}\n\n\t\t// Write directly to the buffer, same as WriteToLevel but without the\n\t\t// global level lookup (we already have the right level).\n\t\tlvl.lock.Lock()\n\t\tb := lvl.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tb = newBuffer(msg.Timestamp, minfo.Frequency)\n\t\t\tlvl.metrics[minfo.offset] = b\n\t\t}\n\t\tnb, writeErr := b.write(msg.Timestamp, msg.Value)\n\t\tif writeErr == nil && b != nb {\n\t\t\tlvl.metrics[minfo.offset] = nb\n\t\t}\n\t\t// Ignore write errors for timestamps before buffer start (can happen when\n\t\t// replaying WAL entries that predate a loaded snapshot's start time).\n\t\tlvl.lock.Unlock()\n\t}\n\n\treturn nil\n}\n\n// joinSelector builds a cache key from a selector slice using null bytes as separators.\nfunc joinSelector(sel []string) string {\n\tif len(sel) == 0 {\n\t\treturn \"\"\n\t}\n\tvar result strings.Builder\n\tresult.WriteString(sel[0])\n\tfor i := 1; i < len(sel); i++ {\n\t\tresult.WriteString(\"\\x00\" + sel[i])\n\t}\n\treturn result.String()\n}\n\n// ToCheckpointWAL writes binary snapshot files for all hosts in parallel.\n// Returns the number of files written, the list of host directories that were\n// successfully checkpointed (for WAL rotation), and any errors.\nfunc (m *MemoryStore) ToCheckpointWAL(dir string, from, to int64) (int, []string, error) {\n\t// Collect all cluster/host pairs.\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\thostDir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\tvar successDirs []string\n\tvar successMu sync.Mutex\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\n\tfor range Keys.NumWorkers {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor wi := range work {\n\t\t\t\terr := wi.level.toCheckpointBinary(wi.hostDir, from, to, m)\n\t\t\t\tif err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpoint error for %s: %v\", wi.hostDir, err)\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t\tsuccessMu.Lock()\n\t\t\t\t\tsuccessDirs = append(successDirs, wi.hostDir)\n\t\t\t\t\tsuccessMu.Unlock()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := range levels {\n\t\thostDir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\thostDir: hostDir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), successDirs, fmt.Errorf(\"[METRICSTORE]> %d errors during binary checkpoint (%d successes)\", errs, n)\n\t}\n\treturn int(n), successDirs, nil\n}\n\n// toCheckpointBinary writes a binary snapshot file for a single host-level node.\n// Uses atomic rename (write to .tmp then rename) to avoid partial reads on crash.\nfunc (l *Level) toCheckpointBinary(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tif err := os.MkdirAll(dir, CheckpointDirPerms); err != nil {\n\t\treturn fmt.Errorf(\"mkdir %s: %w\", dir, err)\n\t}\n\n\t// Write to a temp file first, then rename (atomic on POSIX).\n\ttmpPath := path.Join(dir, fmt.Sprintf(\"%d.bin.tmp\", from))\n\tfinalPath := path.Join(dir, fmt.Sprintf(\"%d.bin\", from))\n\n\tf, err := os.OpenFile(tmpPath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"open binary snapshot %s: %w\", tmpPath, err)\n\t}\n\n\tbw := bufio.NewWriter(f)\n\tif err := writeBinarySnapshotFile(bw, cf); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn fmt.Errorf(\"write binary snapshot: %w\", err)\n\t}\n\tif err := bw.Flush(); err != nil {\n\t\tf.Close()\n\t\tos.Remove(tmpPath)\n\t\treturn err\n\t}\n\tf.Close()\n\n\treturn os.Rename(tmpPath, finalPath)\n}\n\n// writeBinarySnapshotFile writes the binary snapshot file header and level tree.\nfunc writeBinarySnapshotFile(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, snapFileMagic); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.From); err != nil {\n\t\treturn err\n\t}\n\tif err := binary.Write(w, binary.LittleEndian, cf.To); err != nil {\n\t\treturn err\n\t}\n\treturn writeBinaryLevel(w, cf)\n}\n\n// writeBinaryLevel recursively writes a CheckpointFile level in binary format.\nfunc writeBinaryLevel(w io.Writer, cf *CheckpointFile) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Metrics))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, metric := range cf.Metrics {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Frequency); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, metric.Start); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := binary.Write(w, binary.LittleEndian, uint32(len(metric.Data))); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tfor _, v := range metric.Data {\n\t\t\tif err := binary.Write(w, binary.LittleEndian, math.Float32bits(float32(v))); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := binary.Write(w, binary.LittleEndian, uint32(len(cf.Children))); err != nil {\n\t\treturn err\n\t}\n\n\tfor name, child := range cf.Children {\n\t\tif err := writeString16(w, name); err != nil {\n\t\t\treturn err\n\t\t}\n\t\tif err := writeBinaryLevel(w, child); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// writeString16 writes a 2-byte length-prefixed string to w.\nfunc writeString16(w io.Writer, s string) error {\n\tif err := binary.Write(w, binary.LittleEndian, uint16(len(s))); err != nil {\n\t\treturn err\n\t}\n\t_, err := io.WriteString(w, s)\n\treturn err\n}\n\n// loadBinaryFile reads a binary snapshot file and loads data into the Level tree.\n// The retention check (from) is applied to the file's 'to' timestamp.\nfunc (l *Level) loadBinaryFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\n\tvar magic uint32\n\tif err := binary.Read(br, binary.LittleEndian, &magic); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read magic: %w\", err)\n\t}\n\tif magic != snapFileMagic {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: invalid magic 0x%08X (expected 0x%08X)\", magic, snapFileMagic)\n\t}\n\n\tvar fileFrom, fileTo int64\n\tif err := binary.Read(br, binary.LittleEndian, &fileFrom); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read from: %w\", err)\n\t}\n\tif err := binary.Read(br, binary.LittleEndian, &fileTo); err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read to: %w\", err)\n\t}\n\n\tif fileTo != 0 && fileTo < from {\n\t\treturn nil // File is older than retention window, skip it\n\t}\n\n\tcf, err := readBinaryLevel(br)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"[METRICSTORE]> binary snapshot: read level tree: %w\", err)\n\t}\n\tcf.From = fileFrom\n\tcf.To = fileTo\n\n\treturn l.loadFile(cf, m)\n}\n\n// readBinaryLevel recursively reads a level from the binary snapshot format.\nfunc readBinaryLevel(r io.Reader) (*CheckpointFile, error) {\n\tcf := &CheckpointFile{\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tvar numMetrics uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numMetrics); err != nil {\n\t\treturn nil, fmt.Errorf(\"read num_metrics: %w\", err)\n\t}\n\n\tfor range numMetrics {\n\t\tname, err := readString16(r)\n\t\tif err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read metric name: %w\", err)\n\t\t}\n\n\t\tvar freq, start int64\n\t\tif err := binary.Read(r, binary.LittleEndian, &freq); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read frequency for %s: %w\", name, err)\n\t\t}\n\t\tif err := binary.Read(r, binary.LittleEndian, &start); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read start for %s: %w\", name, err)\n\t\t}\n\n\t\tvar numValues uint32\n\t\tif err := binary.Read(r, binary.LittleEndian, &numValues); err != nil {\n\t\t\treturn nil, fmt.Errorf(\"read num_values for %s: %w\", name, err)\n\t\t}\n\n\t\tdata := make([]schema.Float, numValues)\n\t\tfor i := range numValues {\n\t\t\tvar bits uint32\n\t\t\tif err := binary.Read(r, binary.LittleEndian, &bits); err != nil {\n\t\t\t\treturn nil, fmt.Errorf(\"read value[%d] for %s: %w\", i, name, err)\n\t\t\t}\n\t\t\tdata[i] = schema.Float(math.Float32frombits(bits))\n\t\t}\n\n\t\tcf.Metrics[name] = &CheckpointMetrics{\n\t\t\tFrequency: freq,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tvar numChildren uint32\n\tif err := binary.Read(r, binary.LittleEndian, &numChildren); 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triggers forceFree when exceeded","newString":"// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","structuredPatch":[{"oldStart":113,"oldLines":7,"newStart":113,"newLines":7,"lines":[" // Fields:"," // - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))"," // - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention","-// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded","+// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded"," // - 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Here's a summary of the changes:\n\n**Improvement 1 — WAL buffering** (`pkg/metricstore/walCheckpoint.go`):\n- Added `w *bufio.Writer` to `walFileState` struct\n- `getOrOpenWAL` now wraps the file with `bufio.NewWriter` and returns `*walFileState`\n- `writeWALRecord` signature changed from `*os.File` to `io.Writer` — writes go through the buffer\n- Header magic write also goes through `bufio.Writer`\n- Flush calls added in three places: `processRotate` (before close), `defer` cleanup (before close), and `drain` (after processing remaining messages)\n\n**Improvement 3 — Comment fix** (`pkg/metricstore/config.go:116`):\n- Fixed misleading comment: \"Max bytes\" → \"Max memory in GB\""}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":143,"cache_read_input_tokens":35170,"output_tokens":216,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":143},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjRoAVLCY5CgdqBPwvA","type":"assistant","uuid":"9d4955d0-1727-4194-b813-5bb01ac487fa","timestamp":"2026-03-13T08:04:33.473Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"9d4955d0-1727-4194-b813-5bb01ac487fa","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\tmodified: pkg/metricstore/walCheckpoint.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"4422bd77-060e-42c6-8afe-755a17f52196","timestamp":"2026-03-13T08:05:15.667Z","toolUseResult":{"stdout":"On branch hotfix\nYour branch is up to date with 'origin/hotfix'.\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/config.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\tmodified: pkg/metricstore/walCheckpoint.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5375feba-7d94-4710-bdb0-b10436c0c8ef","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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changes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":282,"cache_read_input_tokens":35313,"cache_creation":{"ephemeral_5m_input_tokens":282,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjV8DJdwUbYZP6SrEMH","type":"assistant","uuid":"5bde0806-d34f-4d73-9a99-22bec022bd26","timestamp":"2026-03-13T08:05:16.489Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5bde0806-d34f-4d73-9a99-22bec022bd26","isSidechain":false,"promptId":"99e4087b-ecde-4d72-a0fa-e2b512929d27","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BFQr6RY6hfQuL64B73u5YZ","type":"tool_result","content":"diff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 44743dbe..f6c56672 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -113,7 +113,7 @@ type Subscriptions []struct {\n // Fields:\n // - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n // - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n-// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n+// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded\n // - Checkpoints: Periodic persistence configuration\n // - Debug: Development/profiling options (nil = disabled)\n // - Archive: Long-term storage configuration (nil = disabled)\n@@ -121,13 +121,14 @@ type Subscriptions []struct {\n type MetricStoreConfig struct {\n \t// Number of concurrent workers for checkpoint and archive operations.\n \t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n-\tNumWorkers int `json:\"num-workers\"`\n-\tRetentionInMemory string `json:\"retention-in-memory\"`\n-\tMemoryCap int `json:\"memory-cap\"`\n-\tCheckpoints Checkpoints `json:\"checkpoints\"`\n-\tDebug *Debug `json:\"debug\"`\n-\tCleanup *Cleanup `json:\"cleanup\"`\n-\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n+\tNumWorkers int `json:\"num-workers\"`\n+\tRetentionInMemory string `json:\"retention-in-memory\"`\n+\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n+\tMemoryCap int `json:\"memory-cap\"`\n+\tCheckpoints Checkpoints `json:\"checkpoints\"`\n+\tDebug *Debug `json:\"debug\"`\n+\tCleanup *Cleanup `json:\"cleanup\"`\n+\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n }\n \n // Keys is the global metricstore configuration instance.\ndiff --git a/pkg/metricstore/walCheckpoint.go b/pkg/metricstore/walCheckpoint.go\nindex 07414d98..e8a6586f 100644\n--- a/pkg/metricstore/walCheckpoint.go\n+++ b/pkg/metricstore/walCheckpoint.go\n@@ -106,9 +106,10 @@ type walRotateReq struct {\n \tdone chan struct{}\n }\n \n-// walFileState holds an open WAL file handle for one host directory.\n+// walFileState holds an open WAL file handle and buffered writer for one host directory.\n type walFileState struct {\n \tf *os.File\n+\tw *bufio.Writer\n }\n \n // WALStaging starts a background goroutine that receives WALMessage items\n@@ -125,15 +126,16 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tdefer func() {\n \t\t\tfor _, ws := range hostFiles {\n \t\t\t\tif ws.f != nil {\n+\t\t\t\t\tws.w.Flush()\n \t\t\t\t\tws.f.Close()\n \t\t\t\t}\n \t\t\t}\n \t\t}()\n \n-\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n+\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n \t\t\tws, ok := hostFiles[hostDir]\n \t\t\tif ok {\n-\t\t\t\treturn ws.f\n+\t\t\t\treturn ws\n \t\t\t}\n \n \t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n@@ -148,29 +150,32 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\treturn nil\n \t\t\t}\n \n+\t\t\tw := bufio.NewWriter(f)\n+\n \t\t\t// Write file header magic if file is new (empty).\n \t\t\tinfo, err := f.Stat()\n \t\t\tif err == nil && info.Size() == 0 {\n \t\t\t\tvar hdr [4]byte\n \t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n-\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n+\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n \t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n \t\t\t\t\tf.Close()\n \t\t\t\t\treturn nil\n \t\t\t\t}\n \t\t\t}\n \n-\t\t\thostFiles[hostDir] = &walFileState{f: f}\n-\t\t\treturn f\n+\t\t\tws = &walFileState{f: f, w: w}\n+\t\t\thostFiles[hostDir] = ws\n+\t\t\treturn ws\n \t\t}\n \n \t\tprocessMsg := func(msg *WALMessage) {\n \t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n-\t\t\tf := getOrOpenWAL(hostDir)\n-\t\t\tif f == nil {\n+\t\t\tws := getOrOpenWAL(hostDir)\n+\t\t\tif ws == nil {\n \t\t\t\treturn\n \t\t\t}\n-\t\t\tif err := writeWALRecord(f, msg); err != nil {\n+\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n \t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n \t\t\t}\n \t\t}\n@@ -178,6 +183,7 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tprocessRotate := func(req walRotateReq) {\n \t\t\tws, ok := hostFiles[req.hostDir]\n \t\t\tif ok && ws.f != nil {\n+\t\t\t\tws.w.Flush()\n \t\t\t\tws.f.Close()\n \t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n \t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n@@ -199,6 +205,12 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\tcase req := <-walRotateCh:\n \t\t\t\t\tprocessRotate(req)\n \t\t\t\tdefault:\n+\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n+\t\t\t\t\tfor _, ws := range hostFiles {\n+\t\t\t\t\t\tif ws.f != nil {\n+\t\t\t\t\t\t\tws.w.Flush()\n+\t\t\t\t\t\t}\n+\t\t\t\t\t}\n \t\t\t\t\treturn\n \t\t\t\t}\n \t\t\t}\n@@ -282,9 +294,9 @@ func buildWALPayload(msg *WALMessage) []byte {\n \treturn buf\n }\n \n-// writeWALRecord appends a binary WAL record to the file.\n+// writeWALRecord appends a binary WAL record to the writer.\n // Format: [4B magic][4B payload_len][payload][4B CRC32]\n-func writeWALRecord(f *os.File, msg *WALMessage) error {\n+func writeWALRecord(w io.Writer, msg *WALMessage) error {\n \tpayload := buildWALPayload(msg)\n \tcrc := crc32.ChecksumIEEE(payload)\n \n@@ -304,7 +316,7 @@ func writeWALRecord(f *os.File, msg *WALMessage) error {\n \tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n \trecord = append(record, crcBytes[:]...)\n \n-\t_, err := f.Write(record)\n+\t_, err := w.Write(record)\n \treturn err\n }","is_error":false}]},"uuid":"7e6075b8-3685-4bf2-a95b-bd56a257dd18","timestamp":"2026-03-13T08:05:16.534Z","toolUseResult":{"stdout":"diff --git a/pkg/metricstore/config.go b/pkg/metricstore/config.go\nindex 44743dbe..f6c56672 100644\n--- a/pkg/metricstore/config.go\n+++ b/pkg/metricstore/config.go\n@@ -113,7 +113,7 @@ type Subscriptions []struct {\n // Fields:\n // - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n // - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n-// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n+// - MemoryCap: Max memory in GB for buffer data (0 = unlimited); triggers forceFree when exceeded\n // - Checkpoints: Periodic persistence configuration\n // - Debug: Development/profiling options (nil = disabled)\n // - Archive: Long-term storage configuration (nil = disabled)\n@@ -121,13 +121,14 @@ type Subscriptions []struct {\n type MetricStoreConfig struct {\n \t// Number of concurrent workers for checkpoint and archive operations.\n \t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n-\tNumWorkers int `json:\"num-workers\"`\n-\tRetentionInMemory string `json:\"retention-in-memory\"`\n-\tMemoryCap int `json:\"memory-cap\"`\n-\tCheckpoints Checkpoints `json:\"checkpoints\"`\n-\tDebug *Debug `json:\"debug\"`\n-\tCleanup *Cleanup `json:\"cleanup\"`\n-\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n+\tNumWorkers int `json:\"num-workers\"`\n+\tRetentionInMemory string `json:\"retention-in-memory\"`\n+\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n+\tMemoryCap int `json:\"memory-cap\"`\n+\tCheckpoints Checkpoints `json:\"checkpoints\"`\n+\tDebug *Debug `json:\"debug\"`\n+\tCleanup *Cleanup `json:\"cleanup\"`\n+\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n }\n \n // Keys is the global metricstore configuration instance.\ndiff --git a/pkg/metricstore/walCheckpoint.go b/pkg/metricstore/walCheckpoint.go\nindex 07414d98..e8a6586f 100644\n--- a/pkg/metricstore/walCheckpoint.go\n+++ b/pkg/metricstore/walCheckpoint.go\n@@ -106,9 +106,10 @@ type walRotateReq struct {\n \tdone chan struct{}\n }\n \n-// walFileState holds an open WAL file handle for one host directory.\n+// walFileState holds an open WAL file handle and buffered writer for one host directory.\n type walFileState struct {\n \tf *os.File\n+\tw *bufio.Writer\n }\n \n // WALStaging starts a background goroutine that receives WALMessage items\n@@ -125,15 +126,16 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tdefer func() {\n \t\t\tfor _, ws := range hostFiles {\n \t\t\t\tif ws.f != nil {\n+\t\t\t\t\tws.w.Flush()\n \t\t\t\t\tws.f.Close()\n \t\t\t\t}\n \t\t\t}\n \t\t}()\n \n-\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n+\t\tgetOrOpenWAL := func(hostDir string) *walFileState {\n \t\t\tws, ok := hostFiles[hostDir]\n \t\t\tif ok {\n-\t\t\t\treturn ws.f\n+\t\t\t\treturn ws\n \t\t\t}\n \n \t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {\n@@ -148,29 +150,32 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\treturn nil\n \t\t\t}\n \n+\t\t\tw := bufio.NewWriter(f)\n+\n \t\t\t// Write file header magic if file is new (empty).\n \t\t\tinfo, err := f.Stat()\n \t\t\tif err == nil && info.Size() == 0 {\n \t\t\t\tvar hdr [4]byte\n \t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n-\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n+\t\t\t\tif _, err := w.Write(hdr[:]); err != nil {\n \t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n \t\t\t\t\tf.Close()\n \t\t\t\t\treturn nil\n \t\t\t\t}\n \t\t\t}\n \n-\t\t\thostFiles[hostDir] = &walFileState{f: f}\n-\t\t\treturn f\n+\t\t\tws = &walFileState{f: f, w: w}\n+\t\t\thostFiles[hostDir] = ws\n+\t\t\treturn ws\n \t\t}\n \n \t\tprocessMsg := func(msg *WALMessage) {\n \t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n-\t\t\tf := getOrOpenWAL(hostDir)\n-\t\t\tif f == nil {\n+\t\t\tws := getOrOpenWAL(hostDir)\n+\t\t\tif ws == nil {\n \t\t\t\treturn\n \t\t\t}\n-\t\t\tif err := writeWALRecord(f, msg); err != nil {\n+\t\t\tif err := writeWALRecord(ws.w, msg); err != nil {\n \t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n \t\t\t}\n \t\t}\n@@ -178,6 +183,7 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\tprocessRotate := func(req walRotateReq) {\n \t\t\tws, ok := hostFiles[req.hostDir]\n \t\t\tif ok && ws.f != nil {\n+\t\t\t\tws.w.Flush()\n \t\t\t\tws.f.Close()\n \t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n \t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n@@ -199,6 +205,12 @@ func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n \t\t\t\tcase req := <-walRotateCh:\n \t\t\t\t\tprocessRotate(req)\n \t\t\t\tdefault:\n+\t\t\t\t\t// Flush all buffered writers after draining remaining messages.\n+\t\t\t\t\tfor _, ws := range hostFiles {\n+\t\t\t\t\t\tif ws.f != nil {\n+\t\t\t\t\t\t\tws.w.Flush()\n+\t\t\t\t\t\t}\n+\t\t\t\t\t}\n \t\t\t\t\treturn\n \t\t\t\t}\n \t\t\t}\n@@ -282,9 +294,9 @@ func buildWALPayload(msg *WALMessage) []byte {\n \treturn buf\n }\n \n-// writeWALRecord appends a binary WAL record to the file.\n+// writeWALRecord appends a binary WAL record to the writer.\n // Format: [4B magic][4B payload_len][payload][4B CRC32]\n-func writeWALRecord(f *os.File, msg *WALMessage) error {\n+func writeWALRecord(w io.Writer, msg *WALMessage) error {\n \tpayload := buildWALPayload(msg)\n \tcrc := crc32.ChecksumIEEE(payload)\n \n@@ -304,7 +316,7 @@ func writeWALRecord(f *os.File, msg *WALMessage) error {\n \tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n \trecord = append(record, crcBytes[:]...)\n \n-\t_, err := f.Write(record)\n+\t_, err := w.Write(record)\n \treturn err\n }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5bde0806-d34f-4d73-9a99-22bec022bd26","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"7e6075b8-3685-4bf2-a95b-bd56a257dd18","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01GQSPVvhoNG1oXVBgRrM6cR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Sy2Rt4nGvvckXTGgdhDcUR","name":"Bash","input":{"command":"git log --oneline -5","description":"Show recent commits"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":282,"cache_read_input_tokens":35313,"cache_creation":{"ephemeral_5m_input_tokens":282,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjV8DJdwUbYZP6SrEMH","type":"assistant","uuid":"71cf4c03-a2e2-4188-9611-978de18e16a6","timestamp":"2026-03-13T08:05:17.003Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"71cf4c03-a2e2-4188-9611-978de18e16a6","isSidechain":false,"promptId":"99e4087b-ecde-4d72-a0fa-e2b512929d27","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Sy2Rt4nGvvckXTGgdhDcUR","type":"tool_result","content":"a4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query","is_error":false}]},"uuid":"16e10423-16e7-4f89-9255-d72422b304b3","timestamp":"2026-03-13T08:05:17.048Z","toolUseResult":{"stdout":"a4f9ba69 Apply correct log level\n8234ad31 fix: Fix metricstore memory explosion from broken emergency free and batch aborts\n126f6587 Update Release informations\n3aacc669 Remove debug timer\n96fc44a6 fix: Optimize project stat query","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"71cf4c03-a2e2-4188-9611-978de18e16a6","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"16e10423-16e7-4f89-9255-d72422b304b3","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017sXK3jU6B82BR1ri8wmfgH","type":"message","role":"assistant","content":[{"type":"text","text":"The diff shows changes from both our work and pre-existing unstaged changes (config.go has extra fields, other files are modified). I'll only commit the two files we changed."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2667,"cache_read_input_tokens":35595,"cache_creation":{"ephemeral_5m_input_tokens":2667,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjVWvJ8TqGSRXxJMv4z","type":"assistant","uuid":"9d8bda7f-083a-4d84-9698-5c7dbf81b62f","timestamp":"2026-03-13T08:05:20.702Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"9d8bda7f-083a-4d84-9698-5c7dbf81b62f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017sXK3jU6B82BR1ri8wmfgH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YUKNqdsvYK3YLckwVh9Db2","name":"Bash","input":{"command":"git add pkg/metricstore/walCheckpoint.go pkg/metricstore/config.go && git commit -m \"$(cat <<'EOF'\nAdd buffered I/O to WAL writes and fix MemoryCap comment\n\nWAL writes now go through bufio.Writer instead of raw syscalls per record,\nreducing I/O overhead. Buffers are flushed on rotate, drain, and shutdown.\nFixed misleading MemoryCap comment (\"Max bytes\" → \"Max memory in GB\").\n\nCo-Authored-By: Claude Opus 4.6 \nEOF\n)\" && git status","description":"Stage and commit the two modified files"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2667,"cache_read_input_tokens":35595,"output_tokens":261,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":2667},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjVWvJ8TqGSRXxJMv4z","type":"assistant","uuid":"14ddefe9-8956-4b86-871d-834377c0a67a","timestamp":"2026-03-13T08:05:24.336Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"14ddefe9-8956-4b86-871d-834377c0a67a","isSidechain":false,"promptId":"99e4087b-ecde-4d72-a0fa-e2b512929d27","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YUKNqdsvYK3YLckwVh9Db2","type":"tool_result","content":"[hotfix b214e175] Add buffered I/O to WAL writes and fix MemoryCap comment\n 2 files changed, 33 insertions(+), 20 deletions(-)\nOn branch hotfix\nYour branch is ahead of 'origin/hotfix' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","is_error":false}]},"uuid":"6d16ed3e-43d7-4902-8f35-9196d4f1ecd0","timestamp":"2026-03-13T08:05:27.886Z","toolUseResult":{"stdout":"[hotfix b214e175] Add buffered I/O to WAL writes and fix MemoryCap comment\n 2 files changed, 33 insertions(+), 20 deletions(-)\nOn branch hotfix\nYour branch is ahead of 'origin/hotfix' by 1 commit.\n (use \"git push\" to publish your local commits)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: pkg/metricstore/api.go\n\tmodified: pkg/metricstore/checkpoint.go\n\tmodified: pkg/metricstore/configSchema.go\n\tmodified: pkg/metricstore/healthcheck.go\n\tmodified: pkg/metricstore/level.go\n\tmodified: pkg/metricstore/metricstore.go\n\tmodified: pkg/metricstore/stats.go\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"14ddefe9-8956-4b86-871d-834377c0a67a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"6d16ed3e-43d7-4902-8f35-9196d4f1ecd0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_019ETUS5AteXE2CAhxS4NoP9","type":"message","role":"assistant","content":[{"type":"text","text":"Committed as `b214e175`. The other 7 modified files remain unstaged as before."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":525,"cache_read_input_tokens":38262,"output_tokens":25,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":525},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjWJnpaZoYrinafAys8","type":"assistant","uuid":"46ae0a63-c27a-4a2c-83c9-ecdf215a2ad4","timestamp":"2026-03-13T08:05:30.411Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"46ae0a63-c27a-4a2c-83c9-ecdf215a2ad4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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stop","durationMs":697}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-13T08:05:31.122Z","uuid":"67bef8f1-4e36-4897-8ab2-1b17c2166851","toolUseID":"6543c234-1588-4ff0-9357-f0d4bfca1c90","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"26ab707c-a69c-4886-8226-dfb24388d9b4","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} diff --git a/c1/1d1a65fae4/0/metadata.json b/c1/1d1a65fae4/0/metadata.json new file mode 100644 index 00000000..bd850d71 --- /dev/null +++ b/c1/1d1a65fae4/0/metadata.json @@ -0,0 +1,39 @@ +{ + "cli_version": "0.5.0", + "checkpoint_id": "c11d1a65fae4", + "session_id": "26ab707c-a69c-4886-8226-dfb24388d9b4", + "strategy": "manual-commit", + "created_at": "2026-03-13T08:07:39.142243Z", + "branch": "hotfix", + "checkpoints_count": 2, + "files_touched": [ + "pkg/metricstore/api.go", + "pkg/metricstore/checkpoint.go", + "pkg/metricstore/configSchema.go", + "pkg/metricstore/healthcheck.go", + "pkg/metricstore/level.go", + "pkg/metricstore/metricstore.go", + "pkg/metricstore/stats.go" + ], + "agent": "Claude Code", + "turn_id": "cdfce90402f4", + "token_usage": { + "input_tokens": 19, + "cache_creation_tokens": 29227, + "cache_read_tokens": 467491, + "output_tokens": 4838, + "api_call_count": 15 + }, + "session_metrics": { + "turn_count": 2 + }, + "initial_attribution": { + "calculated_at": "2026-03-13T08:07:39.017496Z", + "agent_lines": 43, + "human_added": 0, + "human_modified": 0, + "human_removed": 0, + "total_committed": 43, + "agent_percentage": 100 + } +} diff --git a/c1/1d1a65fae4/0/prompt.txt b/c1/1d1a65fae4/0/prompt.txt new file mode 100644 index 00000000..8dd3eed1 --- /dev/null +++ b/c1/1d1a65fae4/0/prompt.txt @@ -0,0 +1 @@ +commit the changes \ No newline at end of file diff --git a/c1/1d1a65fae4/1/content_hash.txt b/c1/1d1a65fae4/1/content_hash.txt new file mode 100644 index 00000000..4a5ff292 --- /dev/null +++ b/c1/1d1a65fae4/1/content_hash.txt @@ -0,0 +1 @@ +sha256:233546e675fe3dad92455d912c29157e9ece1798355f14b7ecd8a262e6eb5017 \ No newline at end of file diff --git a/c1/1d1a65fae4/1/full.jsonl b/c1/1d1a65fae4/1/full.jsonl new file mode 100644 index 00000000..e3bd92d2 --- /dev/null +++ b/c1/1d1a65fae4/1/full.jsonl @@ -0,0 +1,138 @@ +{"type":"file-history-snapshot","messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","snapshot":{"messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","trackedFileBackups":{},"timestamp":"2026-03-13T07:54:47.759Z"},"isSnapshotUpdate":false} +{"parentUuid":null,"isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"entire hooks claude-code session-start"},"parentToolUseID":"69c1b3f7-5523-4735-a213-9d0060508dbb","toolUseID":"69c1b3f7-5523-4735-a213-9d0060508dbb","timestamp":"2026-03-13T07:54:47.706Z","uuid":"b7a84e01-eae2-47f4-8f11-a4e2d0bc7e85","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b7a84e01-eae2-47f4-8f11-a4e2d0bc7e85","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/39705f8c-1691-4d60-b0aa-39f588ed9dcf.jsonl"},"uuid":"86090d3d-a25e-47c4-9400-11523820e0a0","timestamp":"2026-03-13T07:54:44.959Z","planContent":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n 7→//\n 8→// # Level Architecture\n 9→//\n 10→// The Level type forms a tree structure where each node represents a level in the\n 11→// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n 12→// nodes for memory domains and accelerators.\n 13→//\n 14→// Structure:\n 15→//\n 16→//\tRoot Level (cluster=\"emmy\")\n 17→//\t├─ Level (host=\"node001\")\n 18→//\t│ ├─ Level (socket=\"0\")\n 19→//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n 20→//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n 21→//\t│ └─ Level (socket=\"1\")\n 22→//\t│ └─ ...\n 23→//\t└─ Level (host=\"node002\")\n 24→//\t └─ ...\n 25→//\n 26→// Each Level can:\n 27→// - Hold data (metrics slice of buffer pointers)\n 28→// - Have child nodes (children map[string]*Level)\n 29→// - Both simultaneously (inner nodes can store aggregated metrics)\n 30→//\n 31→// # Selector Paths\n 32→//\n 33→// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n 34→// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n 35→//\n 36→// # Concurrency\n 37→//\n 38→// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n 39→// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n 40→// prevents races during level creation.\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"sync\"\n 45→\t\"time\"\n 46→\t\"unsafe\"\n 47→\n 48→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 50→)\n 51→\n 52→// Level represents a node in the hierarchical metric storage tree.\n 53→//\n 54→// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n 55→// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n 56→// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n 57→//\n 58→// Fields:\n 59→// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n 60→// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n 61→// - lock: RWMutex for concurrent access (read-heavy, write-rare)\n 62→type Level struct {\n 63→\tchildren map[string]*Level\n 64→\tmetrics []*buffer\n 65→\tlock sync.RWMutex\n 66→}\n 67→\n 68→// findLevelOrCreate navigates to or creates the level specified by selector.\n 69→//\n 70→// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n 71→// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n 72→// re-check after acquiring Lock to handle races.\n 73→//\n 74→// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n 75→// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n 76→//\n 77→// Parameters:\n 78→// - selector: Hierarchical path (consumed recursively, decreasing depth)\n 79→// - nMetrics: Number of metric slots to allocate in new levels\n 80→//\n 81→// Returns:\n 82→// - *Level: The target level (existing or newly created)\n 83→//\n 84→// Note: sync.Map may improve performance for high-concurrency writes, but current\n 85→// approach suffices for read-heavy workload.\n 86→func (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n 87→\tif len(selector) == 0 {\n 88→\t\treturn l\n 89→\t}\n 90→\n 91→\t// Allow concurrent reads:\n 92→\tl.lock.RLock()\n 93→\tvar child *Level\n 94→\tvar ok bool\n 95→\tif l.children == nil {\n 96→\t\t// Children map needs to be created...\n 97→\t\tl.lock.RUnlock()\n 98→\t} else {\n 99→\t\tchild, ok = l.children[selector[0]]\n 100→\t\tl.lock.RUnlock()\n 101→\t\tif ok {\n 102→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 103→\t\t}\n 104→\t}\n 105→\n 106→\t// The level does not exist, take write lock for unique access:\n 107→\tl.lock.Lock()\n 108→\t// While this thread waited for the write lock, another thread\n 109→\t// could have created the child node.\n 110→\tif l.children != nil {\n 111→\t\tchild, ok = l.children[selector[0]]\n 112→\t\tif ok {\n 113→\t\t\tl.lock.Unlock()\n 114→\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 115→\t\t}\n 116→\t}\n 117→\n 118→\tchild = &Level{\n 119→\t\tmetrics: make([]*buffer, nMetrics),\n 120→\t\tchildren: nil,\n 121→\t}\n 122→\n 123→\tif l.children != nil {\n 124→\t\tl.children[selector[0]] = child\n 125→\t} else {\n 126→\t\tl.children = map[string]*Level{selector[0]: child}\n 127→\t}\n 128→\tl.lock.Unlock()\n 129→\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n 130→}\n 131→\n 132→// collectPaths gathers all selector paths at the specified depth in the tree.\n 133→//\n 134→// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n 135→// Each path is a selector that can be used with findLevel() or findBuffers().\n 136→//\n 137→// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n 138→// unintended mutations.\n 139→//\n 140→// Parameters:\n 141→// - currentDepth: Depth of current level (0 = root)\n 142→// - targetDepth: Depth to collect paths from\n 143→// - currentPath: Path accumulated so far\n 144→// - results: Output slice (appended to)\n 145→//\n 146→// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n 147→// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\n 148→func (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n 149→\tl.lock.RLock()\n 150→\tdefer l.lock.RUnlock()\n 151→\n 152→\tfor key, child := range l.children {\n 153→\t\tif child == nil {\n 154→\t\t\tcontinue\n 155→\t\t}\n 156→\n 157→\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n 158→\t\tnewPath := make([]string, len(currentPath))\n 159→\t\tcopy(newPath, currentPath)\n 160→\t\tnewPath = append(newPath, key)\n 161→\n 162→\t\t// Check depth, and just return if depth reached\n 163→\t\tif currentDepth+1 == targetDepth {\n 164→\t\t\t*results = append(*results, newPath)\n 165→\t\t} else {\n 166→\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n 167→\t\t}\n 168→\t}\n 169→}\n 170→\n 171→// free removes buffers older than the retention threshold from the entire subtree.\n 172→//\n 173→// Recursively frees buffers in this level's metrics and all child levels. Buffers\n 174→// with standard capacity (BufferCap) are returned to the pool. Called by the\n 175→// retention worker to enforce retention policies.\n 176→//\n 177→// Parameters:\n 178→// - t: Retention threshold timestamp (Unix seconds)\n 179→//\n 180→// Returns:\n 181→// - int: Total number of buffers freed in this subtree\n 182→// - error: Non-nil on failure (propagated from children)\n 183→func (l *Level) free(t int64) (int, error) {\n 184→\tl.lock.Lock()\n 185→\tdefer l.lock.Unlock()\n 186→\n 187→\tn := 0\n 188→\tfor i, b := range l.metrics {\n 189→\t\tif b != nil {\n 190→\t\t\tdelme, m := b.free(t)\n 191→\t\t\tn += m\n 192→\t\t\tif delme {\n 193→\t\t\t\tif cap(b.data) != BufferCap {\n 194→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 195→\t\t\t\t}\n 196→\t\t\t\tb.lastUsed = time.Now().Unix()\n 197→\t\t\t\tbufferPool.Put(b)\n 198→\t\t\t\tl.metrics[i] = nil\n 199→\t\t\t}\n 200→\t\t}\n 201→\t}\n 202→\n 203→\tfor key, child := range l.children {\n 204→\t\tm, err := child.free(t)\n 205→\t\tn += m\n 206→\t\tif err != nil {\n 207→\t\t\treturn n, err\n 208→\t\t}\n 209→\t\tif child.isEmpty() {\n 210→\t\t\tdelete(l.children, key)\n 211→\t\t}\n 212→\t}\n 213→\n 214→\treturn n, nil\n 215→}\n 216→\n 217→// isEmpty returns true if this level has no metrics and no children.\n 218→func (l *Level) isEmpty() bool {\n 219→\tl.lock.RLock()\n 220→\tdefer l.lock.RUnlock()\n 221→\n 222→\tfor _, b := range l.metrics {\n 223→\t\tif b != nil {\n 224→\t\t\treturn false\n 225→\t\t}\n 226→\t}\n 227→\treturn len(l.children) == 0\n 228→}\n 229→\n 230→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 231→//\n 232→// Unlike free(), which removes based on time threshold, this unconditionally removes\n 233→// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n 234→// exceeded and time-based retention is insufficient.\n 235→//\n 236→// Recursively processes current level's metrics and all child levels.\n 237→//\n 238→// Returns:\n 239→// - int: Total number of buffers freed in this subtree\n 240→// - error: Non-nil on failure (propagated from children)\n 241→func (l *Level) forceFree() (int, error) {\n 242→\tl.lock.Lock()\n 243→\tdefer l.lock.Unlock()\n 244→\n 245→\tn := 0\n 246→\n 247→\t// Iterate over metrics in the current level\n 248→\tfor i, b := range l.metrics {\n 249→\t\tif b != nil {\n 250→\t\t\t// Attempt to free the oldest buffer in this chain\n 251→\t\t\tdelme, freedCount := b.forceFreeOldest()\n 252→\t\t\tn += freedCount\n 253→\n 254→\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n 255→\t\t\t// and needs to be removed from the slice.\n 256→\t\t\tif delme {\n 257→\t\t\t\tb.next = nil\n 258→\t\t\t\tb.prev = nil\n 259→\t\t\t\tif cap(b.data) != BufferCap {\n 260→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 261→\t\t\t\t}\n 262→\t\t\t\tb.lastUsed = time.Now().Unix()\n 263→\t\t\t\tbufferPool.Put(b)\n 264→\t\t\t\tl.metrics[i] = nil\n 265→\t\t\t}\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Recursively traverse children\n 270→\tfor _, child := range l.children {\n 271→\t\tm, err := child.forceFree()\n 272→\t\tn += m\n 273→\t\tif err != nil {\n 274→\t\t\treturn n, err\n 275→\t\t}\n 276→\t}\n 277→\n 278→\treturn n, nil\n 279→}\n 280→\n 281→// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n 282→//\n 283→// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n 284→// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n 285→// memory cap limits.\n 286→//\n 287→// Returns:\n 288→// - int64: Total bytes used by buffer data in this subtree\n 289→func (l *Level) sizeInBytes() int64 {\n 290→\tl.lock.RLock()\n 291→\tdefer l.lock.RUnlock()\n 292→\tsize := int64(0)\n 293→\n 294→\tfor _, b := range l.metrics {\n 295→\t\tif b != nil {\n 296→\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n 297→\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n 298→\t\t}\n 299→\t}\n 300→\n 301→\tfor _, child := range l.children {\n 302→\t\tsize += child.sizeInBytes()\n 303→\t}\n 304→\n 305→\treturn size\n 306→}\n 307→\n 308→// findLevel navigates to the level specified by selector, returning nil if not found.\n 309→//\n 310→// Read-only variant of findLevelOrCreate. Does not create missing levels.\n 311→// Recursively descends the tree following the selector path.\n 312→//\n 313→// Parameters:\n 314→// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n 315→//\n 316→// Returns:\n 317→// - *Level: The target level, or nil if any component in the path does not exist\n 318→func (l *Level) findLevel(selector []string) *Level {\n 319→\tif len(selector) == 0 {\n 320→\t\treturn l\n 321→\t}\n 322→\n 323→\tl.lock.RLock()\n 324→\tdefer l.lock.RUnlock()\n 325→\n 326→\tlvl := l.children[selector[0]]\n 327→\tif lvl == nil {\n 328→\t\treturn nil\n 329→\t}\n 330→\n 331→\treturn lvl.findLevel(selector[1:])\n 332→}\n 333→\n 334→// findBuffers invokes callback on all buffers matching the selector pattern.\n 335→//\n 336→// Supports flexible selector patterns (from cc-lib/util.Selector):\n 337→// - Exact match: Selector element with String set (e.g., \"node001\")\n 338→// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n 339→// - Wildcard: Selector element with Any=true (matches all children)\n 340→//\n 341→// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n 342→// all descendant buffers at the same offset (used for aggregation queries).\n 343→//\n 344→// Parameters:\n 345→// - selector: Pattern to match (consumed recursively)\n 346→// - offset: Metric index in metrics slice (from MetricConfig.offset)\n 347→// - f: Callback invoked on each matching buffer\n 348→//\n 349→// Returns:\n 350→// - error: First error returned by callback, or nil if all succeeded\n 351→//\n 352→// Example:\n 353→//\n 354→//\t// Find all cpu0 buffers across all hosts:\n 355→//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\n 356→func (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n 357→\tl.lock.RLock()\n 358→\tdefer l.lock.RUnlock()\n 359→\n 360→\tif len(selector) == 0 {\n 361→\t\tb := l.metrics[offset]\n 362→\t\tif b != nil {\n 363→\t\t\treturn f(b)\n 364→\t\t}\n 365→\n 366→\t\tfor _, lvl := range l.children {\n 367→\t\t\terr := lvl.findBuffers(nil, offset, f)\n 368→\t\t\tif err != nil {\n 369→\t\t\t\treturn err\n 370→\t\t\t}\n 371→\t\t}\n 372→\t\treturn nil\n 373→\t}\n 374→\n 375→\tsel := selector[0]\n 376→\tif len(sel.String) != 0 && l.children != nil {\n 377→\t\tlvl, ok := l.children[sel.String]\n 378→\t\tif ok {\n 379→\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 380→\t\t\tif err != nil {\n 381→\t\t\t\treturn err\n 382→\t\t\t}\n 383→\t\t}\n 384→\t\treturn nil\n 385→\t}\n 386→\n 387→\tif sel.Group != nil && l.children != nil {\n 388→\t\tfor _, key := range sel.Group {\n 389→\t\t\tlvl, ok := l.children[key]\n 390→\t\t\tif ok {\n 391→\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n 392→\t\t\t\tif err != nil {\n 393→\t\t\t\t\treturn err\n 394→\t\t\t\t}\n 395→\t\t\t}\n 396→\t\t}\n 397→\t\treturn nil\n 398→\t}\n 399→\n 400→\tif sel.Any && l.children != nil {\n 401→\t\tfor _, lvl := range l.children {\n 402→\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n 403→\t\t\t\treturn err\n 404→\t\t\t}\n 405→\t\t}\n 406→\t\treturn nil\n 407→\t}\n 408→\n 409→\treturn nil\n 410→}\n 411→"}]},"uuid":"bd6b2bbc-79d7-4cc5-8e26-6efa49f20c04","timestamp":"2026-03-13T07:54:51.608Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","numLines":411,"startLine":1,"totalLines":411}},"sourceToolAssistantUUID":"438d1a9d-9d9b-41f2-a52b-8e49913f8516","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"bd6b2bbc-79d7-4cc5-8e26-6efa49f20c04","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/stats.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11431},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","timestamp":"2026-03-13T07:54:52.045Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","toolUseID":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","timestamp":"2026-03-13T07:54:52.049Z","uuid":"78ae63cc-140c-42d4-9c19-19e8fa2f20f8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013r7ZFnnbQFPvwG5NN7uuHb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"errors\"\n 10→\t\"math\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 14→)\n 15→\n 16→type Stats struct {\n 17→\tSamples int\n 18→\tAvg schema.Float\n 19→\tMin schema.Float\n 20→\tMax schema.Float\n 21→}\n 22→\n 23→func (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n 24→\tif from < b.start {\n 25→\t\tif b.prev != nil {\n 26→\t\t\treturn b.prev.stats(from, to)\n 27→\t\t}\n 28→\t\tfrom = b.start\n 29→\t}\n 30→\n 31→\t// TODO: Check if b.closed and if so and the full buffer is queried,\n 32→\t// use b.statistics instead of iterating over the buffer.\n 33→\n 34→\tsamples := 0\n 35→\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n 36→\n 37→\tvar t int64\n 38→\tfor t = from; t < to; t += b.frequency {\n 39→\t\tidx := int((t - b.start) / b.frequency)\n 40→\t\tif idx >= cap(b.data) {\n 41→\t\t\tb = b.next\n 42→\t\t\tif b == nil {\n 43→\t\t\t\tbreak\n 44→\t\t\t}\n 45→\t\t\tidx = 0\n 46→\t\t}\n 47→\n 48→\t\tif t < b.start || idx >= len(b.data) {\n 49→\t\t\tcontinue\n 50→\t\t}\n 51→\n 52→\t\txf := float64(b.data[idx])\n 53→\t\tif math.IsNaN(xf) {\n 54→\t\t\tcontinue\n 55→\t\t}\n 56→\n 57→\t\tsamples += 1\n 58→\t\tsum += xf\n 59→\t\tmin = math.Min(min, xf)\n 60→\t\tmax = math.Max(max, xf)\n 61→\t}\n 62→\n 63→\treturn Stats{\n 64→\t\tSamples: samples,\n 65→\t\tAvg: schema.Float(sum) / schema.Float(samples),\n 66→\t\tMin: schema.Float(min),\n 67→\t\tMax: schema.Float(max),\n 68→\t}, from, t, nil\n 69→}\n 70→\n 71→// Returns statistics for the requested metric on the selected node/level.\n 72→// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n 73→// If `Stats.Samples` is zero, the statistics should not be considered as valid.\n 74→func (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n 75→\tif from > to {\n 76→\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n 77→\t}\n 78→\n 79→\tminfo, ok := m.Metrics[metric]\n 80→\tif !ok {\n 81→\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n 82→\t}\n 83→\n 84→\tn, samples := 0, 0\n 85→\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n 86→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 87→\t\tstats, cfrom, cto, err := b.stats(from, to)\n 88→\t\tif err != nil {\n 89→\t\t\treturn err\n 90→\t\t}\n 91→\n 92→\t\tif n == 0 {\n 93→\t\t\tfrom, to = cfrom, cto\n 94→\t\t} else if from != cfrom || to != cto {\n 95→\t\t\treturn ErrDataDoesNotAlign\n 96→\t\t}\n 97→\n 98→\t\tsamples += stats.Samples\n 99→\t\tavg += stats.Avg\n 100→\t\tmin = math.Min(min, float64(stats.Min))\n 101→\t\tmax = math.Max(max, float64(stats.Max))\n 102→\t\tn += 1\n 103→\t\treturn nil\n 104→\t})\n 105→\tif err != nil {\n 106→\t\treturn nil, 0, 0, err\n 107→\t}\n 108→\n 109→\tif n == 0 {\n 110→\t\treturn nil, 0, 0, ErrNoData\n 111→\t}\n 112→\n 113→\tif minfo.Aggregation == AvgAggregation {\n 114→\t\tavg /= schema.Float(n)\n 115→\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n 116→\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n 117→\t}\n 118→\n 119→\treturn &Stats{\n 120→\t\tSamples: samples,\n 121→\t\tAvg: avg,\n 122→\t\tMin: schema.Float(min),\n 123→\t\tMax: schema.Float(max),\n 124→\t}, from, to, nil\n 125→}\n 126→"}]},"uuid":"dba06c47-0f19-480c-ac86-a5bb2722cdec","timestamp":"2026-03-13T07:54:52.049Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype Stats struct {\n\tSamples int\n\tAvg schema.Float\n\tMin schema.Float\n\tMax schema.Float\n}\n\nfunc (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n\tif from < b.start {\n\t\tif b.prev != nil {\n\t\t\treturn b.prev.stats(from, to)\n\t\t}\n\t\tfrom = b.start\n\t}\n\n\t// TODO: Check if b.closed and if so and the full buffer is queried,\n\t// use b.statistics instead of iterating over the buffer.\n\n\tsamples := 0\n\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n\n\tvar t int64\n\tfor t = from; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = 0\n\t\t}\n\n\t\tif t < b.start || idx >= len(b.data) {\n\t\t\tcontinue\n\t\t}\n\n\t\txf := float64(b.data[idx])\n\t\tif math.IsNaN(xf) {\n\t\t\tcontinue\n\t\t}\n\n\t\tsamples += 1\n\t\tsum += xf\n\t\tmin = math.Min(min, xf)\n\t\tmax = math.Max(max, xf)\n\t}\n\n\treturn Stats{\n\t\tSamples: samples,\n\t\tAvg: schema.Float(sum) / schema.Float(samples),\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, t, nil\n}\n\n// Returns statistics for the requested metric on the selected node/level.\n// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n// If `Stats.Samples` is zero, the statistics should not be considered as valid.\nfunc (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n\t}\n\n\tn, samples := 0, 0\n\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tstats, cfrom, cto, err := b.stats(from, to)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto {\n\t\t\treturn ErrDataDoesNotAlign\n\t\t}\n\n\t\tsamples += stats.Samples\n\t\tavg += stats.Avg\n\t\tmin = math.Min(min, float64(stats.Min))\n\t\tmax = math.Max(max, float64(stats.Max))\n\t\tn += 1\n\t\treturn nil\n\t})\n\tif err != nil {\n\t\treturn nil, 0, 0, err\n\t}\n\n\tif n == 0 {\n\t\treturn nil, 0, 0, ErrNoData\n\t}\n\n\tif minfo.Aggregation == AvgAggregation {\n\t\tavg /= schema.Float(n)\n\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n\t}\n\n\treturn &Stats{\n\t\tSamples: samples,\n\t\tAvg: avg,\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, to, nil\n}\n","numLines":126,"startLine":1,"totalLines":126}},"sourceToolAssistantUUID":"940137cd-b3ac-4cf7-b7d4-05f41493a54c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides an efficient in-memory time-series metric storage system\n 7→// with support for hierarchical data organization, checkpointing, and archiving.\n 8→//\n 9→// The package organizes metrics in a tree structure (cluster → host → component) and\n 10→// provides concurrent read/write access to metric data with configurable aggregation strategies.\n 11→// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n 12→// and enforcing retention policies.\n 13→//\n 14→// Key features:\n 15→// - In-memory metric storage with configurable retention\n 16→// - Hierarchical data organization (selectors)\n 17→// - Concurrent checkpoint/archive workers\n 18→// - Support for sum and average aggregation\n 19→// - NATS integration for metric ingestion\n 20→package metricstore\n 21→\n 22→import (\n 23→\t\"bytes\"\n 24→\t\"context\"\n 25→\t\"encoding/json\"\n 26→\t\"errors\"\n 27→\t\"fmt\"\n 28→\t\"runtime\"\n 29→\t\"runtime/debug\"\n 30→\t\"slices\"\n 31→\t\"sync\"\n 32→\t\"time\"\n 33→\n 34→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 35→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 36→\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n 37→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 38→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 39→)\n 40→\n 41→// GlobalState holds the global state for the metric store with thread-safe access.\n 42→type GlobalState struct {\n 43→\tmu sync.RWMutex\n 44→\tlastRetentionTime int64\n 45→\tselectorsExcluded bool\n 46→}\n 47→\n 48→var (\n 49→\tsingleton sync.Once\n 50→\tmsInstance *MemoryStore\n 51→\t// shutdownFunc stores the context cancellation function created in Init\n 52→\t// and is called during Shutdown to cancel all background goroutines\n 53→\tshutdownFunc context.CancelFunc\n 54→\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n 55→\t// Create a global instance\n 56→\tstate = &GlobalState{}\n 57→)\n 58→\n 59→// NodeProvider provides information about nodes currently in use by running jobs.\n 60→//\n 61→// This interface allows metricstore to query job information without directly\n 62→// depending on the repository package, breaking the import cycle.\n 63→//\n 64→// Implementations should return nodes that are actively processing jobs started\n 65→// before the given timestamp. These nodes will be excluded from retention-based\n 66→// garbage collection to prevent data loss for jobs that are still running or\n 67→// recently completed.\n 68→type NodeProvider interface {\n 69→\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n 70→\t// that are currently in use by jobs that started before the given timestamp.\n 71→\t//\n 72→\t// Parameters:\n 73→\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n 74→\t//\n 75→\t// Returns:\n 76→\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n 77→\t// - Error if the query fails\n 78→\tGetUsedNodes(ts int64) (map[string][]string, error)\n 79→}\n 80→\n 81→// Metric represents a single metric data point to be written to the store.\n 82→type Metric struct {\n 83→\tName string\n 84→\tValue schema.Float\n 85→\t// MetricConfig contains frequency and aggregation settings for this metric.\n 86→\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n 87→\tMetricConfig MetricConfig\n 88→}\n 89→\n 90→// MemoryStore is the main in-memory time-series metric storage implementation.\n 91→//\n 92→// It organizes metrics in a hierarchical tree structure where each level represents\n 93→// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n 94→// store multiple metrics as time-series buffers.\n 95→//\n 96→// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n 97→// All public methods are safe for concurrent use.\n 98→type MemoryStore struct {\n 99→\tMetrics map[string]MetricConfig\n 100→\troot Level\n 101→\tnodeProvider NodeProvider\n 102→}\n 103→\n 104→// Init initializes the metric store from configuration and starts background workers.\n 105→//\n 106→// This function must be called exactly once before any other metricstore operations.\n 107→// It performs the following initialization steps:\n 108→// 1. Validates and decodes the metric store configuration\n 109→// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n 110→// 3. Loads metric configurations from all registered clusters\n 111→// 4. Restores checkpoints within the retention window\n 112→// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n 113→// 6. Optionally subscribes to NATS for real-time metric ingestion\n 114→//\n 115→// Parameters:\n 116→// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n 117→// - wg: WaitGroup that will be incremented for each background goroutine started\n 118→//\n 119→// The function will call cclog.Fatal on critical errors during initialization.\n 120→// Use Shutdown() to cleanly stop all background workers started by Init().\n 121→//\n 122→// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n 123→// receiving termination signals to ensure checkpoint data is persisted.\n 124→func Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n 125→\tstartupTime := time.Now()\n 126→\n 127→\tif rawConfig != nil {\n 128→\t\tconfig.Validate(configSchema, rawConfig)\n 129→\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n 130→\t\tdec.DisallowUnknownFields()\n 131→\t\tif err := dec.Decode(&Keys); err != nil {\n 132→\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n 133→\t\t}\n 134→\t}\n 135→\n 136→\t// Set NumWorkers from config or use default\n 137→\tif Keys.NumWorkers <= 0 {\n 138→\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n 139→\t}\n 140→\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n 141→\n 142→\t// Pass the config.MetricStoreKeys\n 143→\tInitMetrics(metrics)\n 144→\n 145→\tms := GetMemoryStore()\n 146→\n 147→\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 148→\tif err != nil {\n 149→\t\tcclog.Fatal(err)\n 150→\t}\n 151→\n 152→\trestoreFrom := startupTime.Add(-d)\n 153→\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n 154→\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n 155→\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n 156→\tif err != nil {\n 157→\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n 158→\t} else {\n 159→\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n 160→\t}\n 161→\n 162→\t// Try to use less memory by forcing a GC run here and then\n 163→\t// lowering the target percentage. The default of 100 means\n 164→\t// that only once the ratio of new allocations execeds the\n 165→\t// previously active heap, a GC is triggered.\n 166→\t// Forcing a GC here will set the \"previously active heap\"\n 167→\t// to a minumum.\n 168→\t// runtime.GC()\n 169→\n 170→\tctx, shutdown := context.WithCancel(context.Background())\n 171→\n 172→\tRetention(wg, ctx)\n 173→\tCheckpointing(wg, ctx)\n 174→\tCleanUp(wg, ctx)\n 175→\tWALStaging(wg, ctx)\n 176→\tMemoryUsageTracker(wg, ctx)\n 177→\n 178→\t// Note: Signal handling has been removed from this function.\n 179→\t// The caller is responsible for handling shutdown signals and calling\n 180→\t// the shutdown() function when appropriate.\n 181→\t// Store the shutdown function for later use by Shutdown()\n 182→\tshutdownFuncMu.Lock()\n 183→\tshutdownFunc = shutdown\n 184→\tshutdownFuncMu.Unlock()\n 185→\n 186→\tif Keys.Subscriptions != nil {\n 187→\t\terr = ReceiveNats(ms, 1, ctx)\n 188→\t\tif err != nil {\n 189→\t\t\tcclog.Fatal(err)\n 190→\t\t}\n 191→\t}\n 192→}\n 193→\n 194→// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n 195→//\n 196→// This function must be called before GetMemoryStore() and can only be called once due to\n 197→// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n 198→//\n 199→// Parameters:\n 200→// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n 201→//\n 202→// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n 203→//\n 204→// After this call, the global msInstance is ready for use via GetMemoryStore().\n 205→func InitMetrics(metrics map[string]MetricConfig) {\n 206→\tsingleton.Do(func() {\n 207→\t\toffset := 0\n 208→\t\tfor key, cfg := range metrics {\n 209→\t\t\tif cfg.Frequency == 0 {\n 210→\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n 211→\t\t\t}\n 212→\n 213→\t\t\tmetrics[key] = MetricConfig{\n 214→\t\t\t\tFrequency: cfg.Frequency,\n 215→\t\t\t\tAggregation: cfg.Aggregation,\n 216→\t\t\t\toffset: offset,\n 217→\t\t\t}\n 218→\t\t\toffset += 1\n 219→\t\t}\n 220→\n 221→\t\tmsInstance = &MemoryStore{\n 222→\t\t\troot: Level{\n 223→\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n 224→\t\t\t\tchildren: make(map[string]*Level),\n 225→\t\t\t},\n 226→\t\t\tMetrics: metrics,\n 227→\t\t}\n 228→\t})\n 229→}\n 230→\n 231→// GetMemoryStore returns the singleton MemoryStore instance.\n 232→//\n 233→// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n 234→//\n 235→// This function is safe for concurrent use after initialization.\n 236→func GetMemoryStore() *MemoryStore {\n 237→\tif msInstance == nil {\n 238→\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n 239→\t}\n 240→\n 241→\treturn msInstance\n 242→}\n 243→\n 244→func (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n 245→\tif metric, ok := ms.Metrics[metricName]; ok {\n 246→\t\treturn metric.Frequency, nil\n 247→\t}\n 248→\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n 249→}\n 250→\n 251→// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n 252→// This must be called during initialization to provide job state information\n 253→// for selective buffer retention during Free operations.\n 254→// If not set, the Free function will fall back to freeing all buffers.\n 255→func (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n 256→\tms.nodeProvider = provider\n 257→}\n 258→\n 259→// Shutdown performs a graceful shutdown of the metric store.\n 260→//\n 261→// This function cancels all background goroutines started by Init() and writes\n 262→// a final checkpoint to disk before returning. It should be called when the\n 263→// application receives a termination signal.\n 264→//\n 265→// The function will:\n 266→// 1. Cancel the context to stop all background workers\n 267→// 2. Close the WAL messages channel if using WAL format\n 268→// 3. Write a final checkpoint to preserve in-memory data\n 269→// 4. Log any errors encountered during shutdown\n 270→//\n 271→// Note: This function blocks until the final checkpoint is written.\n 272→func Shutdown() {\n 273→\tshutdownFuncMu.Lock()\n 274→\tdefer shutdownFuncMu.Unlock()\n 275→\tif shutdownFunc != nil {\n 276→\t\tshutdownFunc()\n 277→\t}\n 278→\n 279→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 280→\t\tclose(WALMessages)\n 281→\t}\n 282→\n 283→\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n 284→\tvar files int\n 285→\tvar err error\n 286→\n 287→\tms := GetMemoryStore()\n 288→\n 289→\tlastCheckpointMu.Lock()\n 290→\tfrom := lastCheckpoint\n 291→\tlastCheckpointMu.Unlock()\n 292→\n 293→\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 294→\t\tvar hostDirs []string\n 295→\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 296→\t\tif err == nil {\n 297→\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n 298→\t\t}\n 299→\t} else {\n 300→\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n 301→\t}\n 302→\n 303→\tif err != nil {\n 304→\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n 305→\t}\n 306→\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n 307→}\n 308→\n 309→// Retention starts a background goroutine that periodically frees old metric data.\n 310→//\n 311→// This worker runs at half the retention interval and calls Free() to remove buffers\n 312→// older than the configured retention time. It respects the NodeProvider to preserve\n 313→// data for nodes with active jobs.\n 314→//\n 315→// Parameters:\n 316→// - wg: WaitGroup to signal completion when context is cancelled\n 317→// - ctx: Context for cancellation signal\n 318→//\n 319→// The goroutine exits when ctx is cancelled.\n 320→func Retention(wg *sync.WaitGroup, ctx context.Context) {\n 321→\tms := GetMemoryStore()\n 322→\n 323→\twg.Go(func() {\n 324→\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n 325→\t\tif err != nil {\n 326→\t\t\tcclog.Fatal(err)\n 327→\t\t}\n 328→\t\tif d <= 0 {\n 329→\t\t\treturn\n 330→\t\t}\n 331→\n 332→\t\ttickInterval := d / 2\n 333→\t\tif tickInterval <= 0 {\n 334→\t\t\treturn\n 335→\t\t}\n 336→\t\tticker := time.NewTicker(tickInterval)\n 337→\t\tdefer ticker.Stop()\n 338→\n 339→\t\tfor {\n 340→\t\t\tselect {\n 341→\t\t\tcase <-ctx.Done():\n 342→\t\t\t\treturn\n 343→\t\t\tcase <-ticker.C:\n 344→\t\t\t\tstate.mu.Lock()\n 345→\n 346→\t\t\t\tt := time.Now().Add(-d)\n 347→\n 348→\t\t\t\tstate.lastRetentionTime = t.Unix()\n 349→\n 350→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n 351→\n 352→\t\t\t\tfreed, err := Free(ms, t)\n 353→\t\t\t\tif err != nil {\n 354→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n 355→\t\t\t\t} else {\n 356→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n 357→\t\t\t\t}\n 358→\n 359→\t\t\t\tstate.mu.Unlock()\n 360→\n 361→\t\t\t\t// Clean up the buffer pool\n 362→\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n 363→\t\t\t}\n 364→\t\t}\n 365→\t})\n 366→}\n 367→\n 368→// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n 369→//\n 370→// This worker checks actual process memory usage (via runtime.MemStats) periodically\n 371→// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n 372→// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n 373→// performance issues.\n 374→//\n 375→// The tracker logs both actual memory usage (heap allocated) and metric data size for\n 376→// visibility into memory overhead from Go runtime structures and allocations.\n 377→//\n 378→// Parameters:\n 379→// - wg: WaitGroup to signal completion when context is cancelled\n 380→// - ctx: Context for cancellation signal\n 381→//\n 382→// The goroutine exits when ctx is cancelled.\n 383→func MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n 384→\tms := GetMemoryStore()\n 385→\n 386→\twg.Go(func() {\n 387→\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n 388→\t\tfastInterval := 30 * time.Second\n 389→\n 390→\t\tif normalInterval <= 0 {\n 391→\t\t\treturn\n 392→\t\t}\n 393→\n 394→\t\tticker := time.NewTicker(normalInterval)\n 395→\t\tdefer ticker.Stop()\n 396→\t\tcurrentInterval := normalInterval\n 397→\n 398→\t\tfor {\n 399→\t\t\tselect {\n 400→\t\t\tcase <-ctx.Done():\n 401→\t\t\t\treturn\n 402→\t\t\tcase <-ticker.C:\n 403→\t\t\t\tvar mem runtime.MemStats\n 404→\t\t\t\truntime.ReadMemStats(&mem)\n 405→\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n 406→\t\t\t\tmetricDataGB := ms.SizeInGB()\n 407→\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n 408→\n 409→\t\t\t\tfreedExcluded := 0\n 410→\t\t\t\tfreedEmergency := 0\n 411→\t\t\t\tvar err error\n 412→\n 413→\t\t\t\tstate.mu.RLock()\n 414→\t\t\t\tlastRetention := state.lastRetentionTime\n 415→\t\t\t\tselectorsExcluded := state.selectorsExcluded\n 416→\t\t\t\tstate.mu.RUnlock()\n 417→\n 418→\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n 419→\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n 420→\t\t\t\t\tif err != nil {\n 421→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n 422→\t\t\t\t\t}\n 423→\n 424→\t\t\t\t\tif freedExcluded > 0 {\n 425→\t\t\t\t\t\tdebug.FreeOSMemory()\n 426→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n 427→\t\t\t\t\t}\n 428→\t\t\t\t}\n 429→\n 430→\t\t\t\truntime.ReadMemStats(&mem)\n 431→\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 432→\n 433→\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n 434→\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n 435→\n 436→\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n 437→\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n 438→\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n 439→\t\t\t\t\tif parseErr != nil {\n 440→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n 441→\t\t\t\t\t} else {\n 442→\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n 443→\t\t\t\t\t\tfor _, fraction := range thresholds {\n 444→\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n 445→\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n 446→\t\t\t\t\t\t\tif freeErr != nil {\n 447→\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n 448→\t\t\t\t\t\t\t}\n 449→\t\t\t\t\t\t\tfreedEmergency += freed\n 450→\n 451→\t\t\t\t\t\t\tbufferPool.Clear()\n 452→\t\t\t\t\t\t\truntime.GC()\n 453→\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n 454→\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 455→\n 456→\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n 457→\t\t\t\t\t\t\t\tbreak\n 458→\t\t\t\t\t\t\t}\n 459→\t\t\t\t\t\t}\n 460→\t\t\t\t\t}\n 461→\n 462→\t\t\t\t\tbufferPool.Clear()\n 463→\t\t\t\t\tdebug.FreeOSMemory()\n 464→\n 465→\t\t\t\t\truntime.ReadMemStats(&mem)\n 466→\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n 467→\n 468→\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n 469→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n 470→\t\t\t\t\t} else {\n 471→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n 472→\t\t\t\t\t}\n 473→\t\t\t\t}\n 474→\n 475→\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n 476→\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n 477→\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n 478→\t\t\t\t\tticker.Reset(fastInterval)\n 479→\t\t\t\t\tcurrentInterval = fastInterval\n 480→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n 481→\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n 482→\t\t\t\t\tticker.Reset(normalInterval)\n 483→\t\t\t\t\tcurrentInterval = normalInterval\n 484→\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n 485→\t\t\t\t}\n 486→\t\t\t}\n 487→\t\t}\n 488→\t})\n 489→}\n 490→\n 491→// Free removes metric data older than the given time while preserving data for active nodes.\n 492→//\n 493→// This function implements intelligent retention by consulting the NodeProvider (if configured)\n 494→// to determine which nodes are currently in use by running jobs. Data for these nodes is\n 495→// preserved even if older than the retention time.\n 496→//\n 497→// Parameters:\n 498→// - ms: The MemoryStore instance\n 499→// - t: Time threshold - buffers with data older than this will be freed\n 500→//\n 501→// Returns:\n 502→// - Number of buffers freed\n 503→// - Error if NodeProvider query fails\n 504→//\n 505→// Behavior:\n 506→// - If no NodeProvider is set: frees all buffers older than t\n 507→// - If NodeProvider returns empty map: frees all buffers older than t\n 508→// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\n 509→func Free(ms *MemoryStore, t time.Time) (int, error) {\n 510→\t// If no NodeProvider is configured, free all buffers older than t\n 511→\tif ms.nodeProvider == nil {\n 512→\t\treturn ms.Free(nil, t.Unix())\n 513→\t}\n 514→\n 515→\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n 516→\tif err != nil {\n 517→\t\treturn 0, err\n 518→\t}\n 519→\n 520→\tswitch lenMap := len(excludeSelectors); lenMap {\n 521→\n 522→\t// If the length of the map returned by GetUsedNodes() is 0,\n 523→\t// then use default Free method with nil selector\n 524→\tcase 0:\n 525→\t\tstate.selectorsExcluded = false\n 526→\t\treturn ms.Free(nil, t.Unix())\n 527→\n 528→\t// Else formulate selectors, exclude those from the map\n 529→\t// and free the rest of the selectors\n 530→\tdefault:\n 531→\t\tstate.selectorsExcluded = true\n 532→\t\tselectors := GetSelectors(ms, excludeSelectors)\n 533→\t\treturn FreeSelected(ms, selectors, t)\n 534→\t}\n 535→}\n 536→\n 537→// FreeSelected frees buffers for specific selectors while preserving others.\n 538→//\n 539→// This function is used when we want to retain some specific nodes beyond the retention time.\n 540→// It iterates through the provided selectors and frees their associated buffers.\n 541→//\n 542→// Parameters:\n 543→// - ms: The MemoryStore instance\n 544→// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n 545→// - t: Time threshold for freeing buffers\n 546→//\n 547→// Returns the total number of buffers freed and any error encountered.\n 548→func FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n 549→\tfreed := 0\n 550→\n 551→\tfor _, selector := range selectors {\n 552→\n 553→\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n 554→\t\tif err != nil {\n 555→\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n 556→\t\t}\n 557→\t\tfreed += freedBuffers\n 558→\n 559→\t}\n 560→\n 561→\treturn freed, nil\n 562→}\n 563→\n 564→// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n 565→//\n 566→// This function generates a list of selectors whose buffers should be freed by excluding\n 567→// selectors that correspond to nodes currently in use by running jobs.\n 568→//\n 569→// Parameters:\n 570→// - ms: The MemoryStore instance\n 571→// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n 572→//\n 573→// Returns a list of selectors ([]string paths) that can be safely freed.\n 574→//\n 575→// Example:\n 576→//\n 577→//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n 578→//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n 579→//\tthen only [[\"emmy\", \"node002\"]] is returned.\n 580→func GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n 581→\tallSelectors := ms.GetPaths(2)\n 582→\n 583→\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n 584→\n 585→\tfor _, path := range allSelectors {\n 586→\t\tif len(path) < 2 {\n 587→\t\t\tcontinue\n 588→\t\t}\n 589→\n 590→\t\tkey := path[0] // The \"Key\" (Level 1)\n 591→\t\tvalue := path[1] // The \"Value\" (Level 2)\n 592→\n 593→\t\texclude := false\n 594→\n 595→\t\t// Check if the key exists in our exclusion map\n 596→\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n 597→\t\t\t// The key exists, now check if the specific value is in the exclusion list\n 598→\t\t\tif slices.Contains(excludedValues, value) {\n 599→\t\t\t\texclude = true\n 600→\t\t\t}\n 601→\t\t}\n 602→\n 603→\t\tif !exclude {\n 604→\t\t\tfilteredSelectors = append(filteredSelectors, path)\n 605→\t\t}\n 606→\t}\n 607→\n 608→\treturn filteredSelectors\n 609→}\n 610→\n 611→// GetPaths returns a list of lists (paths) to the specified depth.\n 612→func (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n 613→\tvar results [][]string\n 614→\n 615→\t// Start recursion. Initial path is empty.\n 616→\t// We treat Root as depth 0.\n 617→\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n 618→\n 619→\treturn results\n 620→}\n 621→\n 622→// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n 623→// Look at `findLevelOrCreate` for how selectors work.\n 624→func (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n 625→\tvar ok bool\n 626→\tfor i, metric := range metrics {\n 627→\t\tif metric.MetricConfig.Frequency == 0 {\n 628→\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n 629→\t\t\tif !ok {\n 630→\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n 631→\t\t\t\tmetric.MetricConfig.Frequency = 0\n 632→\t\t\t}\n 633→\t\t\tmetrics[i] = metric\n 634→\t\t}\n 635→\t}\n 636→\n 637→\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n 638→}\n 639→\n 640→func (m *MemoryStore) GetLevel(selector []string) *Level {\n 641→\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n 642→}\n 643→\n 644→// WriteToLevel assumes that `minfo` in `metrics` is filled in\n 645→func (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n 646→\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n 647→\tl.lock.Lock()\n 648→\tdefer l.lock.Unlock()\n 649→\n 650→\tfor _, metric := range metrics {\n 651→\t\tif metric.MetricConfig.Frequency == 0 {\n 652→\t\t\tcontinue\n 653→\t\t}\n 654→\n 655→\t\tb := l.metrics[metric.MetricConfig.offset]\n 656→\t\tif b == nil {\n 657→\t\t\t// First write to this metric and level\n 658→\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n 659→\t\t\tl.metrics[metric.MetricConfig.offset] = b\n 660→\t\t}\n 661→\n 662→\t\tnb, err := b.write(ts, metric.Value)\n 663→\t\tif err != nil {\n 664→\t\t\treturn err\n 665→\t\t}\n 666→\n 667→\t\t// Last write created a new buffer...\n 668→\t\tif b != nb {\n 669→\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n 670→\t\t}\n 671→\t}\n 672→\treturn nil\n 673→}\n 674→\n 675→// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n 676→// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n 677→// The second and third return value are the actual from/to for the data. Those can be different from\n 678→// the range asked for if no data was available.\n 679→func (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n 680→\tif from > to {\n 681→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n 682→\t}\n 683→\n 684→\tminfo, ok := m.Metrics[metric]\n 685→\tif !ok {\n 686→\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n 687→\t}\n 688→\n 689→\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n 690→\n 691→\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n 692→\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n 693→\t\tif err != nil {\n 694→\t\t\treturn err\n 695→\t\t}\n 696→\n 697→\t\tif n == 0 {\n 698→\t\t\tfrom, to = cfrom, cto\n 699→\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n 700→\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n 701→\t\t\tif missingfront != 0 {\n 702→\t\t\t\treturn ErrDataDoesNotAlign\n 703→\t\t\t}\n 704→\n 705→\t\t\tnewlen := len(cdata) - missingback\n 706→\t\t\tif newlen < 1 {\n 707→\t\t\t\treturn ErrDataDoesNotAlign\n 708→\t\t\t}\n 709→\t\t\tcdata = cdata[0:newlen]\n 710→\t\t\tif len(cdata) != len(data) {\n 711→\t\t\t\treturn ErrDataDoesNotAlign\n 712→\t\t\t}\n 713→\n 714→\t\t\tfrom, to = cfrom, cto\n 715→\t\t}\n 716→\n 717→\t\tdata = cdata\n 718→\t\tn += 1\n 719→\t\treturn nil\n 720→\t})\n 721→\n 722→\tif err != nil {\n 723→\t\treturn nil, 0, 0, 0, err\n 724→\t} else if n == 0 {\n 725→\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n 726→\t} else if n > 1 {\n 727→\t\tif minfo.Aggregation == AvgAggregation {\n 728→\t\t\tnormalize := 1. / schema.Float(n)\n 729→\t\t\tfor i := 0; i < len(data); i++ {\n 730→\t\t\t\tdata[i] *= normalize\n 731→\t\t\t}\n 732→\t\t} else if minfo.Aggregation != SumAggregation {\n 733→\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n 734→\t\t}\n 735→\t}\n 736→\n 737→\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n 738→\tif err != nil {\n 739→\t\treturn nil, 0, 0, 0, err\n 740→\t}\n 741→\n 742→\treturn data, from, to, resolution, nil\n 743→}\n 744→\n 745→// Free releases all buffers for the selected level and all its children that\n 746→// contain only values older than `t`.\n 747→func (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n 748→\treturn m.GetLevel(selector).free(t)\n 749→}\n 750→\n 751→// ForceFree unconditionally removes the oldest buffer from each metric chain.\n 752→func (m *MemoryStore) ForceFree() (int, error) {\n 753→\treturn m.GetLevel(nil).forceFree()\n 754→}\n 755→\n 756→func (m *MemoryStore) FreeAll() error {\n 757→\tfor k := range m.root.children {\n 758→\t\tdelete(m.root.children, k)\n 759→\t}\n 760→\n 761→\treturn nil\n 762→}\n 763→\n 764→func (m *MemoryStore) SizeInBytes() int64 {\n 765→\treturn m.root.sizeInBytes()\n 766→}\n 767→\n 768→func (m *MemoryStore) SizeInGB() float64 {\n 769→\treturn float64(m.root.sizeInBytes()) / 1e9\n 770→}\n 771→\n 772→// ListChildren , given a selector, returns a list of all children of the level\n 773→// selected.\n 774→func (m *MemoryStore) ListChildren(selector []string) []string {\n 775→\tlvl := &m.root\n 776→\tfor lvl != nil && len(selector) != 0 {\n 777→\t\tlvl.lock.RLock()\n 778→\t\tnext := lvl.children[selector[0]]\n 779→\t\tlvl.lock.RUnlock()\n 780→\t\tlvl = next\n 781→\t\tselector = selector[1:]\n 782→\t}\n 783→\n 784→\tif lvl == nil {\n 785→\t\treturn nil\n 786→\t}\n 787→\n 788→\tlvl.lock.RLock()\n 789→\tdefer lvl.lock.RUnlock()\n 790→\n 791→\tchildren := make([]string, 0, len(lvl.children))\n 792→\tfor child := range lvl.children {\n 793→\t\tchildren = append(children, child)\n 794→\t}\n 795→\n 796→\treturn children\n 797→}\n 798→"}]},"uuid":"5a67ed79-379a-4d78-aba9-8affd9c53526","timestamp":"2026-03-13T07:54:52.684Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/metricstore.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := lvl.children[selector[0]]\n\t\tlvl.lock.RUnlock()\n\t\tlvl = next\n\t\tselector = selector[1:]\n\t}\n\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\tlvl.lock.RLock()\n\tdefer lvl.lock.RUnlock()\n\n\tchildren := make([]string, 0, len(lvl.children))\n\tfor child := range lvl.children {\n\t\tchildren = append(children, child)\n\t}\n\n\treturn children\n}\n","numLines":798,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"9ad0a0c5-5362-4a07-bc6a-7c261d253625","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5a67ed79-379a-4d78-aba9-8affd9c53526","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015cTqkQR69kC2gR3koAcp8P","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11431},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"da598147-c730-4064-8ea2-c5f63379d5db","timestamp":"2026-03-13T07:54:52.940Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"da598147-c730-4064-8ea2-c5f63379d5db","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_015cTqkQR69kC2gR3koAcp8P","toolUseID":"toolu_015cTqkQR69kC2gR3koAcp8P","timestamp":"2026-03-13T07:54:52.949Z","uuid":"eb110dca-2f87-4a92-8916-b614c3362f29","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"da598147-c730-4064-8ea2-c5f63379d5db","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015cTqkQR69kC2gR3koAcp8P","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains the API types and data fetching logic for querying metric data\n 7→// from the in-memory metric store. It provides structures for building complex queries\n 8→// with support for aggregation, scaling, padding, and statistics computation.\n 9→package metricstore\n 10→\n 11→import (\n 12→\t\"errors\"\n 13→\t\"fmt\"\n 14→\t\"math\"\n 15→\n 16→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 17→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n 19→)\n 20→\n 21→var (\n 22→\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n 23→\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n 24→\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n 25→\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n 26→\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n 27→\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n 28→)\n 29→\n 30→// APIMetricData represents the response data for a single metric query.\n 31→//\n 32→// It contains both the time-series data points and computed statistics (avg, min, max).\n 33→// If an error occurred during data retrieval, the Error field will be set and other\n 34→// fields may be incomplete.\n 35→type APIMetricData struct {\n 36→\tError *string `json:\"error,omitempty\"`\n 37→\tData schema.FloatArray `json:\"data,omitempty\"`\n 38→\tFrom int64 `json:\"from\"`\n 39→\tTo int64 `json:\"to\"`\n 40→\tResolution int64 `json:\"resolution\"`\n 41→\tAvg schema.Float `json:\"avg\"`\n 42→\tMin schema.Float `json:\"min\"`\n 43→\tMax schema.Float `json:\"max\"`\n 44→}\n 45→\n 46→// APIQueryRequest represents a batch query request for metric data.\n 47→//\n 48→// It supports two modes of operation:\n 49→// 1. Explicit queries via the Queries field\n 50→// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n 51→//\n 52→// The request can be customized with flags to include/exclude statistics, raw data, and padding.\n 53→type APIQueryRequest struct {\n 54→\tCluster string `json:\"cluster\"`\n 55→\tQueries []APIQuery `json:\"queries\"`\n 56→\tForAllNodes []string `json:\"for-all-nodes\"`\n 57→\tFrom int64 `json:\"from\"`\n 58→\tTo int64 `json:\"to\"`\n 59→\tWithStats bool `json:\"with-stats\"`\n 60→\tWithData bool `json:\"with-data\"`\n 61→\tWithPadding bool `json:\"with-padding\"`\n 62→}\n 63→\n 64→// APIQueryResponse represents the response to an APIQueryRequest.\n 65→//\n 66→// Results is a 2D array where each outer element corresponds to a query,\n 67→// and each inner element corresponds to a selector within that query\n 68→// (e.g., multiple CPUs or cores).\n 69→type APIQueryResponse struct {\n 70→\tQueries []APIQuery `json:\"queries,omitempty\"`\n 71→\tResults [][]APIMetricData `json:\"results\"`\n 72→}\n 73→\n 74→// APIQuery represents a single metric query with optional hierarchical selectors.\n 75→//\n 76→// The hierarchical selection works as follows:\n 77→// - Hostname: The node to query\n 78→// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n 79→// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n 80→//\n 81→// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n 82→// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\n 83→type APIQuery struct {\n 84→\tType *string `json:\"type,omitempty\"`\n 85→\tSubType *string `json:\"subtype,omitempty\"`\n 86→\tMetric string `json:\"metric\"`\n 87→\tHostname string `json:\"host\"`\n 88→\tResolution int64 `json:\"resolution\"`\n 89→\tTypeIds []string `json:\"type-ids,omitempty\"`\n 90→\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n 91→\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n 92→\tAggregate bool `json:\"aggreg\"`\n 93→}\n 94→\n 95→// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n 96→//\n 97→// NaN values in the data are ignored during computation. If all values are NaN,\n 98→// the statistics fields will be set to NaN.\n 99→//\n 100→// TODO: Optimize this, just like the stats endpoint!\n 101→func (data *APIMetricData) AddStats() {\n 102→\tn := 0\n 103→\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n 104→\tfor _, x := range data.Data {\n 105→\t\tif x.IsNaN() {\n 106→\t\t\tcontinue\n 107→\t\t}\n 108→\n 109→\t\tn += 1\n 110→\t\tsum += float64(x)\n 111→\t\tmin = math.Min(min, float64(x))\n 112→\t\tmax = math.Max(max, float64(x))\n 113→\t}\n 114→\n 115→\tif n > 0 {\n 116→\t\tavg := sum / float64(n)\n 117→\t\tdata.Avg = schema.Float(avg)\n 118→\t\tdata.Min = schema.Float(min)\n 119→\t\tdata.Max = schema.Float(max)\n 120→\t} else {\n 121→\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n 122→\t}\n 123→}\n 124→\n 125→// ScaleBy multiplies all data points and statistics by the given factor.\n 126→//\n 127→// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n 128→// Scaling by 0 or 1 is a no-op for performance reasons.\n 129→func (data *APIMetricData) ScaleBy(f schema.Float) {\n 130→\tif f == 0 || f == 1 {\n 131→\t\treturn\n 132→\t}\n 133→\n 134→\tdata.Avg *= f\n 135→\tdata.Min *= f\n 136→\tdata.Max *= f\n 137→\tfor i := 0; i < len(data.Data); i++ {\n 138→\t\tdata.Data[i] *= f\n 139→\t}\n 140→}\n 141→\n 142→// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n 143→//\n 144→// This ensures that the data aligns with the requested 'from' timestamp, even if\n 145→// the metric store doesn't have data for the earliest time points. This is useful\n 146→// for maintaining consistent array indexing across multiple queries.\n 147→//\n 148→// Parameters:\n 149→// - ms: MemoryStore instance to lookup metric configuration\n 150→// - from: The requested start timestamp\n 151→// - to: The requested end timestamp (unused but kept for API consistency)\n 152→// - metric: The metric name to lookup frequency information\n 153→func (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n 154→\tminfo, ok := ms.Metrics[metric]\n 155→\tif !ok {\n 156→\t\treturn\n 157→\t}\n 158→\n 159→\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n 160→\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n 161→\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n 162→\t\tfor range padfront {\n 163→\t\t\tndata = append(ndata, schema.NaN)\n 164→\t\t}\n 165→\t\tfor j := 0; j < len(data.Data); j++ {\n 166→\t\t\tndata = append(ndata, data.Data[j])\n 167→\t\t}\n 168→\t\tdata.Data = ndata\n 169→\t}\n 170→}\n 171→\n 172→// FetchData executes a batch metric query request and returns the results.\n 173→//\n 174→// This is the primary API for retrieving metric data from the memory store. It supports:\n 175→// - Individual queries via req.Queries\n 176→// - Batch queries for all nodes via req.ForAllNodes\n 177→// - Hierarchical selector construction (cluster → host → type → subtype)\n 178→// - Optional statistics computation (avg, min, max)\n 179→// - Optional data scaling\n 180→// - Optional data padding with NaN values\n 181→//\n 182→// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n 183→// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n 184→// separate results are returned for each combination.\n 185→//\n 186→// Parameters:\n 187→// - req: The query request containing queries, time range, and options\n 188→//\n 189→// Returns:\n 190→// - APIQueryResponse containing results for each query, or error if validation fails\n 191→//\n 192→// Errors:\n 193→// - ErrInvalidTimeRange if req.From > req.To\n 194→// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n 195→// - Error if MemoryStore is not initialized\n 196→// - Individual query errors are stored in APIMetricData.Error field\n 197→func FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n 198→\tif req.From > req.To {\n 199→\t\treturn nil, ErrInvalidTimeRange\n 200→\t}\n 201→\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n 202→\t\treturn nil, ErrEmptyCluster\n 203→\t}\n 204→\n 205→\treq.WithData = true\n 206→\tms := GetMemoryStore()\n 207→\tif ms == nil {\n 208→\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n 209→\t}\n 210→\n 211→\tresponse := APIQueryResponse{\n 212→\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n 213→\t}\n 214→\tif req.ForAllNodes != nil {\n 215→\t\tnodes := ms.ListChildren([]string{req.Cluster})\n 216→\t\tfor _, node := range nodes {\n 217→\t\t\tfor _, metric := range req.ForAllNodes {\n 218→\t\t\t\tq := APIQuery{\n 219→\t\t\t\t\tMetric: metric,\n 220→\t\t\t\t\tHostname: node,\n 221→\t\t\t\t}\n 222→\t\t\t\treq.Queries = append(req.Queries, q)\n 223→\t\t\t\tresponse.Queries = append(response.Queries, q)\n 224→\t\t\t}\n 225→\t\t}\n 226→\t}\n 227→\n 228→\tfor _, query := range req.Queries {\n 229→\t\tsels := make([]util.Selector, 0, 1)\n 230→\t\tif query.Aggregate || query.Type == nil {\n 231→\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n 232→\t\t\tif query.Type != nil {\n 233→\t\t\t\tif len(query.TypeIds) == 1 {\n 234→\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n 235→\t\t\t\t} else {\n 236→\t\t\t\t\tids := make([]string, len(query.TypeIds))\n 237→\t\t\t\t\tfor i, id := range query.TypeIds {\n 238→\t\t\t\t\t\tids[i] = *query.Type + id\n 239→\t\t\t\t\t}\n 240→\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 241→\t\t\t\t}\n 242→\n 243→\t\t\t\tif query.SubType != nil {\n 244→\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n 245→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n 246→\t\t\t\t\t} else {\n 247→\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n 248→\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n 249→\t\t\t\t\t\t\tids[i] = *query.SubType + id\n 250→\t\t\t\t\t\t}\n 251→\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n 252→\t\t\t\t\t}\n 253→\t\t\t\t}\n 254→\t\t\t}\n 255→\t\t\tsels = append(sels, sel)\n 256→\t\t} else {\n 257→\t\t\tfor _, typeID := range query.TypeIds {\n 258→\t\t\t\tif query.SubType != nil {\n 259→\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n 260→\t\t\t\t\t\tsels = append(sels, util.Selector{\n 261→\t\t\t\t\t\t\t{String: req.Cluster},\n 262→\t\t\t\t\t\t\t{String: query.Hostname},\n 263→\t\t\t\t\t\t\t{String: *query.Type + typeID},\n 264→\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n 265→\t\t\t\t\t\t})\n 266→\t\t\t\t\t}\n 267→\t\t\t\t} else {\n 268→\t\t\t\t\tsels = append(sels, util.Selector{\n 269→\t\t\t\t\t\t{String: req.Cluster},\n 270→\t\t\t\t\t\t{String: query.Hostname},\n 271→\t\t\t\t\t\t{String: *query.Type + typeID},\n 272→\t\t\t\t\t})\n 273→\t\t\t\t}\n 274→\t\t\t}\n 275→\t\t}\n 276→\n 277→\t\tvar err error\n 278→\t\tres := make([]APIMetricData, 0, len(sels))\n 279→\t\tfor _, sel := range sels {\n 280→\t\t\tdata := APIMetricData{}\n 281→\n 282→\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n 283→\t\t\tif err != nil {\n 284→\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n 285→\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n 286→\t\t\t\tif err != ErrNoHostOrMetric {\n 287→\t\t\t\t\tmsg := err.Error()\n 288→\t\t\t\t\tdata.Error = &msg\n 289→\t\t\t\t\tres = append(res, data)\n 290→\t\t\t\t} else {\n 291→\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n 292→\t\t\t\t}\n 293→\t\t\t\tcontinue\n 294→\t\t\t}\n 295→\n 296→\t\t\tif req.WithStats {\n 297→\t\t\t\tdata.AddStats()\n 298→\t\t\t}\n 299→\t\t\tif query.ScaleFactor != 0 {\n 300→\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n 301→\t\t\t}\n 302→\t\t\tif req.WithPadding {\n 303→\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n 304→\t\t\t}\n 305→\t\t\tif !req.WithData {\n 306→\t\t\t\tdata.Data = nil\n 307→\t\t\t}\n 308→\t\t\tres = append(res, data)\n 309→\t\t}\n 310→\t\tresponse.Results = append(response.Results, res)\n 311→\t}\n 312→\n 313→\treturn &response, nil\n 314→}\n 315→"}]},"uuid":"5f964e6a-043c-4d3f-b3ef-e558d686be08","timestamp":"2026-03-13T07:54:52.948Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/api.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError *string `json:\"error,omitempty\"`\n\tData schema.FloatArray `json:\"data,omitempty\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tResolution int64 `json:\"resolution\"`\n\tAvg schema.Float `json:\"avg\"`\n\tMin schema.Float `json:\"min\"`\n\tMax schema.Float `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n// 1. Explicit queries via the Queries field\n// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster string `json:\"cluster\"`\n\tQueries []APIQuery `json:\"queries\"`\n\tForAllNodes []string `json:\"for-all-nodes\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tWithStats bool `json:\"with-stats\"`\n\tWithData bool `json:\"with-data\"`\n\tWithPadding bool `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n// - Hostname: The node to query\n// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType *string `json:\"type,omitempty\"`\n\tSubType *string `json:\"subtype,omitempty\"`\n\tMetric string `json:\"metric\"`\n\tHostname string `json:\"host\"`\n\tResolution int64 `json:\"resolution\"`\n\tTypeIds []string `json:\"type-ids,omitempty\"`\n\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate bool `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 0 || f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n// - ms: MemoryStore instance to lookup metric configuration\n// - from: The requested start timestamp\n// - to: The requested end timestamp (unused but kept for API consistency)\n// - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n// - Individual queries via req.Queries\n// - Batch queries for all nodes via req.ForAllNodes\n// - Hierarchical selector construction (cluster → host → type → subtype)\n// - Optional statistics computation (avg, min, max)\n// - Optional data scaling\n// - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n// - req: The query request containing queries, time range, and options\n//\n// Returns:\n// - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n// - ErrInvalidTimeRange if req.From > req.To\n// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n// - Error if MemoryStore is not initialized\n// - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric: metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","numLines":315,"startLine":1,"totalLines":315}},"sourceToolAssistantUUID":"da598147-c730-4064-8ea2-c5f63379d5db","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\t\"time\"\n 12→\n 13→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 14→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 15→)\n 16→\n 17→// HealthCheckResponse represents the result of a health check operation.\n 18→type HealthCheckResponse struct {\n 19→\tStatus schema.MonitoringState\n 20→\tError error\n 21→}\n 22→\n 23→// HealthCheckResult holds the monitoring state and raw JSON health metrics\n 24→// for a single node as determined by HealthCheck.\n 25→type HealthCheckResult struct {\n 26→\tState schema.MonitoringState\n 27→\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n 28→}\n 29→\n 30→// MaxMissingDataPoints is the threshold for stale data detection.\n 31→// A buffer is considered healthy if the gap between its last data point\n 32→// and the current time is within MaxMissingDataPoints * frequency.\n 33→const MaxMissingDataPoints int64 = 5\n 34→\n 35→// bufferExists returns true if the buffer is non-nil and contains data.\n 36→func (b *buffer) bufferExists() bool {\n 37→\tif b == nil || b.data == nil || len(b.data) == 0 {\n 38→\t\treturn false\n 39→\t}\n 40→\n 41→\treturn true\n 42→}\n 43→\n 44→// isBufferHealthy returns true if the buffer has recent data within\n 45→// MaxMissingDataPoints * frequency of the current time.\n 46→func (b *buffer) isBufferHealthy() bool {\n 47→\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n 48→\tt := time.Now().Unix()\n 49→\n 50→\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n 51→}\n 52→\n 53→// collectMetricStatus walks the subtree rooted at l and classifies each\n 54→// expected metric into the healthy or degraded map.\n 55→//\n 56→// Classification rules (evaluated per buffer, pessimistic):\n 57→// - A single stale buffer marks the metric as degraded permanently.\n 58→// - A healthy buffer only counts if no stale buffer has been seen.\n 59→// - Metrics absent from the global config or without any buffer remain\n 60→// in neither map and are later reported as missing.\n 61→func (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n 62→\tl.lock.RLock()\n 63→\tdefer l.lock.RUnlock()\n 64→\n 65→\tfor _, metricName := range expectedMetrics {\n 66→\t\tif degraded[metricName] {\n 67→\t\t\tcontinue // already degraded, cannot improve\n 68→\t\t}\n 69→\t\tmc := m.Metrics[metricName]\n 70→\t\tb := l.metrics[mc.offset]\n 71→\t\tif b.bufferExists() {\n 72→\t\t\tif !b.isBufferHealthy() {\n 73→\t\t\t\tdegraded[metricName] = true\n 74→\t\t\t\tdelete(healthy, metricName)\n 75→\t\t\t} else if !degraded[metricName] {\n 76→\t\t\t\thealthy[metricName] = true\n 77→\t\t\t}\n 78→\t\t}\n 79→\t}\n 80→\n 81→\tfor _, lvl := range l.children {\n 82→\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n 83→\t}\n 84→}\n 85→\n 86→// getHealthyMetrics walks the complete subtree rooted at l and classifies\n 87→// each expected metric by comparing the collected status against the\n 88→// expected list.\n 89→//\n 90→// Returns:\n 91→// - missingList: metrics not found in global config or without any buffer\n 92→// - degradedList: metrics with at least one stale buffer in the subtree\n 93→func (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n 94→\thealthy := make(map[string]bool, len(expectedMetrics))\n 95→\tdegraded := make(map[string]bool)\n 96→\n 97→\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n 98→\n 99→\tmissingList := make([]string, 0)\n 100→\tdegradedList := make([]string, 0)\n 101→\n 102→\tfor _, metricName := range expectedMetrics {\n 103→\t\tif healthy[metricName] {\n 104→\t\t\tcontinue\n 105→\t\t}\n 106→\n 107→\t\tif degraded[metricName] {\n 108→\t\t\tdegradedList = append(degradedList, metricName)\n 109→\t\t} else {\n 110→\t\t\tmissingList = append(missingList, metricName)\n 111→\t\t}\n 112→\t}\n 113→\n 114→\treturn degradedList, missingList\n 115→}\n 116→\n 117→// GetHealthyMetrics returns missing and degraded metric lists for a node.\n 118→//\n 119→// It walks the metric tree starting from the node identified by selector\n 120→// and classifies each expected metric:\n 121→// - Missing: no buffer anywhere in the subtree, or metric not in global config\n 122→// - Degraded: at least one stale buffer exists in the subtree\n 123→//\n 124→// Metrics present in expectedMetrics but absent from both returned lists\n 125→// are considered fully healthy.\n 126→func (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n 127→\tlvl := m.root.findLevel(selector)\n 128→\tif lvl == nil {\n 129→\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n 130→\t}\n 131→\n 132→\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n 133→\treturn degradedList, missingList, nil\n 134→}\n 135→\n 136→type HealthCheckReq struct {\n 137→\tCluster string `json:\"cluster\" example:\"fritz\"`\n 138→\tNodes []string `json:\"nodes\"`\n 139→\tMetricNames []string `json:\"metric-names\"`\n 140→}\n 141→\n 142→// HealthCheck evaluates multiple nodes against a set of expected metrics\n 143→// and returns a monitoring state per node.\n 144→//\n 145→// States:\n 146→// - MonitoringStateFull: all expected metrics are healthy\n 147→// - MonitoringStatePartial: some metrics are missing or degraded\n 148→// - MonitoringStateFailed: node not found, or no healthy metrics at all\n 149→func (m *MemoryStore) HealthCheck(cluster string,\n 150→\tnodes []string, expectedMetrics []string,\n 151→) (map[string]HealthCheckResult, error) {\n 152→\tresults := make(map[string]HealthCheckResult, len(nodes))\n 153→\n 154→\tfor _, hostname := range nodes {\n 155→\t\tselector := []string{cluster, hostname}\n 156→\n 157→\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n 158→\t\tif err != nil {\n 159→\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n 160→\t\t\tcontinue\n 161→\t\t}\n 162→\n 163→\t\tdegradedCount := len(degradedList)\n 164→\t\tmissingCount := len(missingList)\n 165→\n 166→\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n 167→\n 168→\t\tif degradedCount > 0 {\n 169→\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n 170→\t\t}\n 171→\t\tif missingCount > 0 {\n 172→\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n 173→\t\t}\n 174→\n 175→\t\tvar state schema.MonitoringState\n 176→\t\tswitch {\n 177→\t\tcase degradedCount == 0 && missingCount == 0:\n 178→\t\t\tstate = schema.MonitoringStateFull\n 179→\t\tcase healthyCount == 0:\n 180→\t\t\tstate = schema.MonitoringStateFailed\n 181→\t\tdefault:\n 182→\t\t\tstate = schema.MonitoringStatePartial\n 183→\t\t}\n 184→\n 185→\t\thm, _ := json.Marshal(map[string][]string{\n 186→\t\t\t\"missing\": missingList,\n 187→\t\t\t\"degraded\": degradedList,\n 188→\t\t})\n 189→\n 190→\t\tresults[hostname] = HealthCheckResult{\n 191→\t\t\tState: state,\n 192→\t\t\tHealthMetrics: string(hm),\n 193→\t\t}\n 194→\t}\n 195→\n 196→\treturn results, nil\n 197→}\n 198→"}]},"uuid":"87283d9e-c266-4b3b-8d31-081922479439","timestamp":"2026-03-13T07:54:53.396Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/healthcheck.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HealthCheckResponse represents the result of a health check operation.\ntype HealthCheckResponse struct {\n\tStatus schema.MonitoringState\n\tError error\n}\n\n// HealthCheckResult holds the monitoring state and raw JSON health metrics\n// for a single node as determined by HealthCheck.\ntype HealthCheckResult struct {\n\tState schema.MonitoringState\n\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n}\n\n// MaxMissingDataPoints is the threshold for stale data detection.\n// A buffer is considered healthy if the gap between its last data point\n// and the current time is within MaxMissingDataPoints * frequency.\nconst MaxMissingDataPoints int64 = 5\n\n// bufferExists returns true if the buffer is non-nil and contains data.\nfunc (b *buffer) bufferExists() bool {\n\tif b == nil || b.data == nil || len(b.data) == 0 {\n\t\treturn false\n\t}\n\n\treturn true\n}\n\n// isBufferHealthy returns true if the buffer has recent data within\n// MaxMissingDataPoints * frequency of the current time.\nfunc (b *buffer) isBufferHealthy() bool {\n\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n\tt := time.Now().Unix()\n\n\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n}\n\n// collectMetricStatus walks the subtree rooted at l and classifies each\n// expected metric into the healthy or degraded map.\n//\n// Classification rules (evaluated per buffer, pessimistic):\n// - A single stale buffer marks the metric as degraded permanently.\n// - A healthy buffer only counts if no stale buffer has been seen.\n// - Metrics absent from the global config or without any buffer remain\n// in neither map and are later reported as missing.\nfunc (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc := m.Metrics[metricName]\n\t\tb := l.metrics[mc.offset]\n\t\tif b.bufferExists() {\n\t\t\tif !b.isBufferHealthy() {\n\t\t\t\tdegraded[metricName] = true\n\t\t\t\tdelete(healthy, metricName)\n\t\t\t} else if !degraded[metricName] {\n\t\t\t\thealthy[metricName] = true\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, lvl := range l.children {\n\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\t}\n}\n\n// getHealthyMetrics walks the complete subtree rooted at l and classifies\n// each expected metric by comparing the collected status against the\n// expected list.\n//\n// Returns:\n// - missingList: metrics not found in global config or without any buffer\n// - degradedList: metrics with at least one stale buffer in the subtree\nfunc (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n\thealthy := make(map[string]bool, len(expectedMetrics))\n\tdegraded := make(map[string]bool)\n\n\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\n\tmissingList := make([]string, 0)\n\tdegradedList := make([]string, 0)\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif healthy[metricName] {\n\t\t\tcontinue\n\t\t}\n\n\t\tif degraded[metricName] {\n\t\t\tdegradedList = append(degradedList, metricName)\n\t\t} else {\n\t\t\tmissingList = append(missingList, metricName)\n\t\t}\n\t}\n\n\treturn degradedList, missingList\n}\n\n// GetHealthyMetrics returns missing and degraded metric lists for a node.\n//\n// It walks the metric tree starting from the node identified by selector\n// and classifies each expected metric:\n// - Missing: no buffer anywhere in the subtree, or metric not in global config\n// - Degraded: at least one stale buffer exists in the subtree\n//\n// Metrics present in expectedMetrics but absent from both returned lists\n// are considered fully healthy.\nfunc (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n\tlvl := m.root.findLevel(selector)\n\tif lvl == nil {\n\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n\t}\n\n\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n\treturn degradedList, missingList, nil\n}\n\ntype HealthCheckReq struct {\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n\tNodes []string `json:\"nodes\"`\n\tMetricNames []string `json:\"metric-names\"`\n}\n\n// HealthCheck evaluates multiple nodes against a set of expected metrics\n// and returns a monitoring state per node.\n//\n// States:\n// - MonitoringStateFull: all expected metrics are healthy\n// - MonitoringStatePartial: some metrics are missing or degraded\n// - MonitoringStateFailed: node not found, or no healthy metrics at all\nfunc (m *MemoryStore) HealthCheck(cluster string,\n\tnodes []string, expectedMetrics []string,\n) (map[string]HealthCheckResult, error) {\n\tresults := make(map[string]HealthCheckResult, len(nodes))\n\n\tfor _, hostname := range nodes {\n\t\tselector := []string{cluster, hostname}\n\n\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n\t\tif err != nil {\n\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n\t\t\tcontinue\n\t\t}\n\n\t\tdegradedCount := len(degradedList)\n\t\tmissingCount := len(missingList)\n\n\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n\n\t\tif degradedCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n\t\t}\n\t\tif missingCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n\t\t}\n\n\t\tvar state schema.MonitoringState\n\t\tswitch {\n\t\tcase degradedCount == 0 && missingCount == 0:\n\t\t\tstate = schema.MonitoringStateFull\n\t\tcase healthyCount == 0:\n\t\t\tstate = schema.MonitoringStateFailed\n\t\tdefault:\n\t\t\tstate = schema.MonitoringStatePartial\n\t\t}\n\n\t\thm, _ := json.Marshal(map[string][]string{\n\t\t\t\"missing\": missingList,\n\t\t\t\"degraded\": degradedList,\n\t\t})\n\n\t\tresults[hostname] = HealthCheckResult{\n\t\t\tState: state,\n\t\t\tHealthMetrics: string(hm),\n\t\t}\n\t}\n\n\treturn results, nil\n}\n","numLines":198,"startLine":1,"totalLines":198}},"sourceToolAssistantUUID":"e5493694-089a-46c5-a2a7-1406efbc54c9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"87283d9e-c266-4b3b-8d31-081922479439","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":11431},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"70a1642d-2934-4bd9-b978-bd22173771a5","timestamp":"2026-03-13T07:54:53.840Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"70a1642d-2934-4bd9-b978-bd22173771a5","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","toolUseID":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","timestamp":"2026-03-13T07:54:53.845Z","uuid":"5718dc42-a349-4f03-b740-125a130bd87c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"70a1642d-2934-4bd9-b978-bd22173771a5","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PtHYqmYWRfbEcq1qE9jCUb","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides config.go: Configuration structures and metric management.\n 7→//\n 8→// # Configuration Hierarchy\n 9→//\n 10→// The metricstore package uses nested configuration structures:\n 11→//\n 12→//\tMetricStoreConfig (Keys)\n 13→//\t├─ NumWorkers: Parallel checkpoint/archive workers\n 14→//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n 15→//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n 16→//\t├─ Checkpoints: Persistence configuration\n 17→//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n 18→//\t│ └─ RootDir: Checkpoint storage path\n 19→//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n 20→//\t│ ├─ RootDir: Archive storage path (archive mode only)\n 21→//\t│ └─ Mode: \"delete\" or \"archive\"\n 22→//\t├─ Debug: Development/debugging options\n 23→//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n 24→//\n 25→// # Metric Configuration\n 26→//\n 27→// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n 28→// Metrics map, defining:\n 29→//\n 30→// - Frequency: Measurement interval in seconds\n 31→// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n 32→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 33→//\n 34→// # AggregationStrategy\n 35→//\n 36→// Determines how to combine metric values when aggregating from finer to coarser scopes:\n 37→//\n 38→// - NoAggregation: Do not combine (incompatible scopes)\n 39→// - SumAggregation: Add values (e.g., power consumption: core→socket)\n 40→// - AvgAggregation: Average values (e.g., temperature: core→socket)\n 41→package metricstore\n 42→\n 43→import (\n 44→\t\"fmt\"\n 45→\t\"time\"\n 46→\n 47→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 48→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 49→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 50→)\n 51→\n 52→const (\n 53→\tDefaultMaxWorkers = 10\n 54→\tDefaultBufferCapacity = 512\n 55→\tDefaultGCTriggerInterval = 100\n 56→\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n 57→)\n 58→\n 59→// Checkpoints configures periodic persistence of in-memory metric data.\n 60→//\n 61→// Fields:\n 62→// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n 63→// - RootDir: Filesystem path for checkpoint files (created if missing)\n 64→type Checkpoints struct {\n 65→\tFileFormat string `json:\"file-format\"`\n 66→\tRootDir string `json:\"directory\"`\n 67→}\n 68→\n 69→// Debug provides development and profiling options.\n 70→//\n 71→// Fields:\n 72→// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n 73→// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\n 74→type Debug struct {\n 75→\tDumpToFile string `json:\"dump-to-file\"`\n 76→\tEnableGops bool `json:\"gops\"`\n 77→}\n 78→\n 79→// Cleanup configures long-term storage of old metric data.\n 80→//\n 81→// Data older than RetentionInMemory is archived to disk or deleted.\n 82→// The cleanup interval is always RetentionInMemory.\n 83→//\n 84→// Fields:\n 85→// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n 86→// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\n 87→type Cleanup struct {\n 88→\tRootDir string `json:\"directory\"`\n 89→\tMode string `json:\"mode\"`\n 90→}\n 91→\n 92→// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n 93→//\n 94→// Each subscription receives metrics via NATS messaging, enabling real-time\n 95→// data collection from compute nodes.\n 96→//\n 97→// Fields:\n 98→// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n 99→// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\n 100→type Subscriptions []struct {\n 101→\t// Channel name\n 102→\tSubscribeTo string `json:\"subscribe-to\"`\n 103→\n 104→\t// Allow lines without a cluster tag, use this as default, optional\n 105→\tClusterTag string `json:\"cluster-tag\"`\n 106→}\n 107→\n 108→// MetricStoreConfig defines the main configuration for the metricstore.\n 109→//\n 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`\n 125→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 126→\tMemoryCap int `json:\"memory-cap\"`\n 127→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 128→\tDebug *Debug `json:\"debug\"`\n 129→\tCleanup *Cleanup `json:\"cleanup\"`\n 130→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 131→}\n 132→\n 133→// Keys is the global metricstore configuration instance.\n 134→//\n 135→// Initialized with defaults, then overwritten by cc-backend's config.json.\n 136→// Accessed by Init(), Checkpointing(), and other lifecycle functions.\n 137→var Keys MetricStoreConfig = MetricStoreConfig{\n 138→\tCheckpoints: Checkpoints{\n 139→\t\tFileFormat: \"wal\",\n 140→\t\tRootDir: \"./var/checkpoints\",\n 141→\t},\n 142→\tCleanup: &Cleanup{\n 143→\t\tMode: \"delete\",\n 144→\t},\n 145→}\n 146→\n 147→// AggregationStrategy defines how to combine metric values across hierarchy levels.\n 148→//\n 149→// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n 150→// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n 151→//\n 152→// Values:\n 153→// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n 154→// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n 155→// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\n 156→type AggregationStrategy int\n 157→\n 158→const (\n 159→\tNoAggregation AggregationStrategy = iota // Do not aggregate\n 160→\tSumAggregation // Sum values (e.g., power, energy)\n 161→\tAvgAggregation // Average values (e.g., temperature, utilization)\n 162→)\n 163→\n 164→// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n 165→//\n 166→// Used when loading metric configurations from JSON/YAML files.\n 167→//\n 168→// Parameters:\n 169→// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n 170→//\n 171→// Returns:\n 172→// - AggregationStrategy: Parsed value\n 173→// - error: Non-nil if str is unrecognized\n 174→func AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n 175→\tswitch str {\n 176→\tcase \"\":\n 177→\t\treturn NoAggregation, nil\n 178→\tcase \"sum\":\n 179→\t\treturn SumAggregation, nil\n 180→\tcase \"avg\":\n 181→\t\treturn AvgAggregation, nil\n 182→\tdefault:\n 183→\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n 184→\t}\n 185→}\n 186→\n 187→// MetricConfig defines configuration for a single metric type.\n 188→//\n 189→// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n 190→//\n 191→// Fields:\n 192→// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n 193→// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n 194→// - offset: Internal index into Level.metrics slice (assigned during Init)\n 195→type MetricConfig struct {\n 196→\t// Interval in seconds at which measurements are stored\n 197→\tFrequency int64\n 198→\n 199→\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n 200→\tAggregation AggregationStrategy\n 201→\n 202→\t// Private, used internally...\n 203→\toffset int\n 204→}\n 205→\n 206→func BuildMetricList() map[string]MetricConfig {\n 207→\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n 208→\n 209→\taddMetric := func(name string, metric MetricConfig) error {\n 210→\t\tif metrics == nil {\n 211→\t\t\tmetrics = make(map[string]MetricConfig, 0)\n 212→\t\t}\n 213→\n 214→\t\tif existingMetric, ok := metrics[name]; ok {\n 215→\t\t\tif existingMetric.Frequency != metric.Frequency {\n 216→\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n 217→\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n 218→\t\t\t\t\tmetrics[name] = existingMetric\n 219→\t\t\t\t}\n 220→\t\t\t}\n 221→\t\t} else {\n 222→\t\t\tmetrics[name] = metric\n 223→\t\t}\n 224→\n 225→\t\treturn nil\n 226→\t}\n 227→\n 228→\t// Helper function to add metric configuration\n 229→\taddMetricConfig := func(mc *schema.MetricConfig) {\n 230→\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n 231→\t\tif err != nil {\n 232→\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n 233→\t\t}\n 234→\n 235→\t\taddMetric(mc.Name, MetricConfig{\n 236→\t\t\tFrequency: int64(mc.Timestep),\n 237→\t\t\tAggregation: agg,\n 238→\t\t})\n 239→\t}\n 240→\tfor _, c := range archive.Clusters {\n 241→\t\tfor _, mc := range c.MetricConfig {\n 242→\t\t\taddMetricConfig(mc)\n 243→\t\t}\n 244→\n 245→\t\tfor _, sc := range c.SubClusters {\n 246→\t\t\tfor _, mc := range sc.MetricConfig {\n 247→\t\t\t\taddMetricConfig(mc)\n 248→\t\t\t}\n 249→\t\t}\n 250→\t}\n 251→\n 252→\treturn metrics\n 253→}\n 254→"}]},"uuid":"b372a672-48d3-4906-bd7e-fba00bbb2338","timestamp":"2026-03-13T07:54:53.845Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. Describes how to aggregate metrics from the same timestep over the hierarchy.\n\tAggregation AggregationStrategy\n\n\t// Private, used internally...\n\toffset int\n}\n\nfunc BuildMetricList() map[string]MetricConfig {\n\tvar metrics map[string]MetricConfig = make(map[string]MetricConfig)\n\n\taddMetric := func(name string, metric MetricConfig) error {\n\t\tif metrics == nil {\n\t\t\tmetrics = make(map[string]MetricConfig, 0)\n\t\t}\n\n\t\tif existingMetric, ok := metrics[name]; ok {\n\t\t\tif existingMetric.Frequency != metric.Frequency {\n\t\t\t\tif existingMetric.Frequency < metric.Frequency {\n\t\t\t\t\texistingMetric.Frequency = metric.Frequency\n\t\t\t\t\tmetrics[name] = existingMetric\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tmetrics[name] = metric\n\t\t}\n\n\t\treturn nil\n\t}\n\n\t// Helper function to add metric configuration\n\taddMetricConfig := func(mc *schema.MetricConfig) {\n\t\tagg, err := AssignAggregationStrategy(mc.Aggregation)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Could not find aggregation strategy for metric config '%s': %s\", mc.Name, err.Error())\n\t\t}\n\n\t\taddMetric(mc.Name, MetricConfig{\n\t\t\tFrequency: int64(mc.Timestep),\n\t\t\tAggregation: agg,\n\t\t})\n\t}\n\tfor _, c := range archive.Clusters {\n\t\tfor _, mc := range c.MetricConfig {\n\t\t\taddMetricConfig(mc)\n\t\t}\n\n\t\tfor _, sc := range c.SubClusters {\n\t\t\tfor _, mc := range sc.MetricConfig {\n\t\t\t\taddMetricConfig(mc)\n\t\t\t}\n\t\t}\n\t}\n\n\treturn metrics\n}\n","numLines":254,"startLine":1,"totalLines":254}},"sourceToolAssistantUUID":"70a1642d-2934-4bd9-b978-bd22173771a5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b372a672-48d3-4906-bd7e-fba00bbb2338","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01922jB73drAUJjyjwHcJtJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017EpR3TjRnKd4DqvvULE3bs","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":11431,"cache_read_input_tokens":8781,"output_tokens":499,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":11431,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzih85611HdbFxj9DFvE","type":"assistant","uuid":"76f05b12-e874-46cd-9175-0f2f9612e301","timestamp":"2026-03-13T07:54:54.082Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"76f05b12-e874-46cd-9175-0f2f9612e301","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_017EpR3TjRnKd4DqvvULE3bs","toolUseID":"toolu_017EpR3TjRnKd4DqvvULE3bs","timestamp":"2026-03-13T07:54:54.089Z","uuid":"f69e09a7-09a3-41bb-937d-ceaf256ab2a8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"76f05b12-e874-46cd-9175-0f2f9612e301","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017EpR3TjRnKd4DqvvULE3bs","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file implements checkpoint persistence for the in-memory metric store.\n 7→//\n 8→// Checkpoints enable graceful restarts by periodically saving in-memory metric\n 9→// data to disk in JSON or binary format. The checkpoint system:\n 10→//\n 11→// Key Features:\n 12→// - Periodic background checkpointing via the Checkpointing() worker\n 13→// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n 14→// - Parallel checkpoint creation and loading using worker pools\n 15→// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n 16→// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n 17→// - Only saves unarchived data (archived data is already persisted elsewhere)\n 18→// - GC optimization during loading to prevent excessive heap growth\n 19→//\n 20→// Checkpoint Workflow:\n 21→// 1. Init() loads checkpoints within retention window at startup\n 22→// 2. Checkpointing() worker periodically saves new data\n 23→// 3. Shutdown() writes final checkpoint before exit\n 24→//\n 25→// File Organization:\n 26→//\n 27→//\tcheckpoints/\n 28→//\t cluster1/\n 29→//\t host001/\n 30→//\t 1234567890.json (JSON format: full subtree snapshot)\n 31→//\t 1234567890.bin (binary format: full subtree snapshot)\n 32→//\t current.wal (WAL format: append-only per-entry log)\n 33→//\t host002/\n 34→//\t ...\n 35→package metricstore\n 36→\n 37→import (\n 38→\t\"bufio\"\n 39→\t\"context\"\n 40→\t\"encoding/json\"\n 41→\t\"errors\"\n 42→\t\"fmt\"\n 43→\t\"io/fs\"\n 44→\t\"os\"\n 45→\t\"path\"\n 46→\t\"path/filepath\"\n 47→\t\"sort\"\n 48→\t\"strconv\"\n 49→\t\"strings\"\n 50→\t\"sync\"\n 51→\t\"sync/atomic\"\n 52→\t\"time\"\n 53→\n 54→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 55→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 56→)\n 57→\n 58→const (\n 59→\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n 60→\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n 61→\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n 62→)\n 63→\n 64→// CheckpointMetrics represents metric data in a checkpoint file.\n 65→// Whenever the structure changes, update MarshalJSON as well!\n 66→type CheckpointMetrics struct {\n 67→\tData []schema.Float `json:\"data\"`\n 68→\tFrequency int64 `json:\"frequency\"`\n 69→\tStart int64 `json:\"start\"`\n 70→}\n 71→\n 72→// CheckpointFile represents the hierarchical structure of a checkpoint file.\n 73→// It mirrors the Level tree structure from the MemoryStore.\n 74→type CheckpointFile struct {\n 75→\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n 76→\tChildren map[string]*CheckpointFile `json:\"children\"`\n 77→\tFrom int64 `json:\"from\"`\n 78→\tTo int64 `json:\"to\"`\n 79→}\n 80→\n 81→// lastCheckpoint tracks the timestamp of the last checkpoint creation.\n 82→var (\n 83→\tlastCheckpoint time.Time\n 84→\tlastCheckpointMu sync.Mutex\n 85→)\n 86→\n 87→// Checkpointing starts a background worker that periodically saves metric data to disk.\n 88→//\n 89→// Checkpoints are written every 12 hours (hardcoded).\n 90→//\n 91→// Format behaviour:\n 92→// - \"json\": Periodic checkpointing every checkpointInterval\n 93→// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\n 94→func Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n 95→\tlastCheckpointMu.Lock()\n 96→\tlastCheckpoint = time.Now()\n 97→\tlastCheckpointMu.Unlock()\n 98→\n 99→\tms := GetMemoryStore()\n 100→\n 101→\twg.Go(func() {\n 102→\n 103→\t\tconst checkpointInterval = 12 * time.Hour\n 104→\t\td := checkpointInterval\n 105→\n 106→\t\tticker := time.NewTicker(d)\n 107→\t\tdefer ticker.Stop()\n 108→\n 109→\t\tfor {\n 110→\t\t\tselect {\n 111→\t\t\tcase <-ctx.Done():\n 112→\t\t\t\treturn\n 113→\t\t\tcase <-ticker.C:\n 114→\t\t\t\tlastCheckpointMu.Lock()\n 115→\t\t\t\tfrom := lastCheckpoint\n 116→\t\t\t\tlastCheckpointMu.Unlock()\n 117→\n 118→\t\t\t\tnow := time.Now()\n 119→\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n 120→\n 121→\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n 122→\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 123→\t\t\t\t\tif err != nil {\n 124→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n 125→\t\t\t\t\t} else {\n 126→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n 127→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 128→\t\t\t\t\t\tlastCheckpoint = now\n 129→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 130→\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n 131→\t\t\t\t\t\tRotateWALFiles(hostDirs)\n 132→\t\t\t\t\t}\n 133→\t\t\t\t} else {\n 134→\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n 135→\t\t\t\t\tif err != nil {\n 136→\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n 137→\t\t\t\t\t} else {\n 138→\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n 139→\t\t\t\t\t\tlastCheckpointMu.Lock()\n 140→\t\t\t\t\t\tlastCheckpoint = now\n 141→\t\t\t\t\t\tlastCheckpointMu.Unlock()\n 142→\t\t\t\t\t}\n 143→\t\t\t\t}\n 144→\t\t\t}\n 145→\t\t}\n 146→\t})\n 147→}\n 148→\n 149→// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n 150→//\n 151→// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n 152→// This method manually constructs JSON to avoid allocations and interface conversions.\n 153→func (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n 154→\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n 155→\tbuf = append(buf, `{\"frequency\":`...)\n 156→\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n 157→\tbuf = append(buf, `,\"start\":`...)\n 158→\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n 159→\tbuf = append(buf, `,\"data\":[`...)\n 160→\tfor i, x := range cm.Data {\n 161→\t\tif i != 0 {\n 162→\t\t\tbuf = append(buf, ',')\n 163→\t\t}\n 164→\t\tif x.IsNaN() {\n 165→\t\t\tbuf = append(buf, `null`...)\n 166→\t\t} else {\n 167→\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n 168→\t\t}\n 169→\t}\n 170→\tbuf = append(buf, `]}`...)\n 171→\treturn buf, nil\n 172→}\n 173→\n 174→// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n 175→//\n 176→// Metrics at root and cluster levels are skipped. One file per host is created.\n 177→// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n 178→// at a time, allowing concurrent writes/reads to other hosts.\n 179→//\n 180→// Returns the number of checkpoint files created and any errors encountered.\n 181→func (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n 182→\t// Pre-calculate capacity by counting cluster/host pairs\n 183→\tm.root.lock.RLock()\n 184→\ttotalHosts := 0\n 185→\tfor _, l1 := range m.root.children {\n 186→\t\tl1.lock.RLock()\n 187→\t\ttotalHosts += len(l1.children)\n 188→\t\tl1.lock.RUnlock()\n 189→\t}\n 190→\tm.root.lock.RUnlock()\n 191→\n 192→\tlevels := make([]*Level, 0, totalHosts)\n 193→\tselectors := make([][]string, 0, totalHosts)\n 194→\n 195→\tm.root.lock.RLock()\n 196→\tfor sel1, l1 := range m.root.children {\n 197→\t\tl1.lock.RLock()\n 198→\t\tfor sel2, l2 := range l1.children {\n 199→\t\t\tlevels = append(levels, l2)\n 200→\t\t\tselectors = append(selectors, []string{sel1, sel2})\n 201→\t\t}\n 202→\t\tl1.lock.RUnlock()\n 203→\t}\n 204→\tm.root.lock.RUnlock()\n 205→\n 206→\ttype workItem struct {\n 207→\t\tlevel *Level\n 208→\t\tdir string\n 209→\t\tselector []string\n 210→\t}\n 211→\n 212→\tn, errs := int32(0), int32(0)\n 213→\n 214→\tvar wg sync.WaitGroup\n 215→\twg.Add(Keys.NumWorkers)\n 216→\twork := make(chan workItem, Keys.NumWorkers*2)\n 217→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 218→\t\tgo func() {\n 219→\t\t\tdefer wg.Done()\n 220→\n 221→\t\t\tfor workItem := range work {\n 222→\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n 223→\t\t\t\t\tif err == ErrNoNewArchiveData {\n 224→\t\t\t\t\t\tcontinue\n 225→\t\t\t\t\t}\n 226→\n 227→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n 228→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 229→\t\t\t\t} else {\n 230→\t\t\t\t\tatomic.AddInt32(&n, 1)\n 231→\t\t\t\t}\n 232→\t\t\t}\n 233→\t\t}()\n 234→\t}\n 235→\n 236→\tfor i := 0; i < len(levels); i++ {\n 237→\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n 238→\t\twork <- workItem{\n 239→\t\t\tlevel: levels[i],\n 240→\t\t\tdir: dir,\n 241→\t\t\tselector: selectors[i],\n 242→\t\t}\n 243→\t}\n 244→\n 245→\tclose(work)\n 246→\twg.Wait()\n 247→\n 248→\tif errs > 0 {\n 249→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 250→\t}\n 251→\treturn int(n), nil\n 252→}\n 253→\n 254→// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n 255→// Skips metrics that are already archived. Returns nil if no unarchived data exists.\n 256→func (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n 257→\tl.lock.RLock()\n 258→\tdefer l.lock.RUnlock()\n 259→\n 260→\tretval := &CheckpointFile{\n 261→\t\tFrom: from,\n 262→\t\tTo: to,\n 263→\t\tMetrics: make(map[string]*CheckpointMetrics),\n 264→\t\tChildren: make(map[string]*CheckpointFile),\n 265→\t}\n 266→\n 267→\tfor metric, minfo := range m.Metrics {\n 268→\t\tb := l.metrics[minfo.offset]\n 269→\t\tif b == nil {\n 270→\t\t\tcontinue\n 271→\t\t}\n 272→\n 273→\t\tallArchived := true\n 274→\t\tb.iterFromTo(from, to, func(b *buffer) error {\n 275→\t\t\tif !b.archived {\n 276→\t\t\t\tallArchived = false\n 277→\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n 278→\t\t\t}\n 279→\t\t\treturn nil\n 280→\t\t})\n 281→\n 282→\t\tif allArchived {\n 283→\t\t\tcontinue\n 284→\t\t}\n 285→\n 286→\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n 287→\t\tdata, start, end, err := b.read(from, to, data)\n 288→\t\tif err != nil {\n 289→\t\t\treturn nil, err\n 290→\t\t}\n 291→\n 292→\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n 293→\t\t\tdata[i] = schema.NaN\n 294→\t\t}\n 295→\n 296→\t\tretval.Metrics[metric] = &CheckpointMetrics{\n 297→\t\t\tFrequency: b.frequency,\n 298→\t\t\tStart: start,\n 299→\t\t\tData: data,\n 300→\t\t}\n 301→\t}\n 302→\n 303→\tfor name, child := range l.children {\n 304→\t\tval, err := child.toCheckpointFile(from, to, m)\n 305→\t\tif err != nil {\n 306→\t\t\treturn nil, err\n 307→\t\t}\n 308→\n 309→\t\tif val != nil {\n 310→\t\t\tretval.Children[name] = val\n 311→\t\t}\n 312→\t}\n 313→\n 314→\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n 315→\t\treturn nil, nil\n 316→\t}\n 317→\n 318→\treturn retval, nil\n 319→}\n 320→\n 321→// toCheckpoint writes a Level's data to a JSON checkpoint file.\n 322→// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\n 323→func (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n 324→\tcf, err := l.toCheckpointFile(from, to, m)\n 325→\tif err != nil {\n 326→\t\treturn err\n 327→\t}\n 328→\n 329→\tif cf == nil {\n 330→\t\treturn ErrNoNewArchiveData\n 331→\t}\n 332→\n 333→\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n 334→\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 335→\tif err != nil && os.IsNotExist(err) {\n 336→\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n 337→\t\tif err == nil {\n 338→\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n 339→\t\t}\n 340→\t}\n 341→\tif err != nil {\n 342→\t\treturn err\n 343→\t}\n 344→\tdefer f.Close()\n 345→\n 346→\tbw := bufio.NewWriter(f)\n 347→\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n 348→\t\treturn err\n 349→\t}\n 350→\n 351→\treturn bw.Flush()\n 352→}\n 353→\n 354→// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n 355→// Returns error if directory structure is invalid.\n 356→func enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n 357→\tclustersDir, err := os.ReadDir(dir)\n 358→\tif err != nil {\n 359→\t\treturn err\n 360→\t}\n 361→\n 362→\tfor _, clusterDir := range clustersDir {\n 363→\t\tif !clusterDir.IsDir() {\n 364→\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n 365→\t\t}\n 366→\n 367→\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n 368→\t\tif err != nil {\n 369→\t\t\treturn err\n 370→\t\t}\n 371→\n 372→\t\tfor _, hostDir := range hostsDir {\n 373→\t\t\tif !hostDir.IsDir() {\n 374→\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n 375→\t\t\t}\n 376→\n 377→\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n 378→\t\t}\n 379→\t}\n 380→\n 381→\treturn nil\n 382→}\n 383→\n 384→// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n 385→//\n 386→// Uses worker pool to load cluster/host combinations. Returns number of files\n 387→// loaded and any errors.\n 388→func (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n 389→\tvar wg sync.WaitGroup\n 390→\twork := make(chan [2]string, Keys.NumWorkers*4)\n 391→\tn, errs := int32(0), int32(0)\n 392→\n 393→\twg.Add(Keys.NumWorkers)\n 394→\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n 395→\t\tgo func() {\n 396→\t\t\tdefer wg.Done()\n 397→\t\t\tfor host := range work {\n 398→\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n 399→\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n 400→\t\t\t\tif err != nil {\n 401→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n 402→\t\t\t\t\tatomic.AddInt32(&errs, 1)\n 403→\t\t\t\t}\n 404→\t\t\t\tatomic.AddInt32(&n, int32(nn))\n 405→\t\t\t}\n 406→\t\t}()\n 407→\t}\n 408→\n 409→\terr := enqueueCheckpointHosts(dir, work)\n 410→\tclose(work)\n 411→\twg.Wait()\n 412→\n 413→\tif err != nil {\n 414→\t\treturn int(n), err\n 415→\t}\n 416→\n 417→\tif errs > 0 {\n 418→\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n 419→\t}\n 420→\treturn int(n), nil\n 421→}\n 422→\n 423→// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n 424→//\n 425→// Creates checkpoint directory if it doesn't exist. This function must be called\n 426→// before any writes or reads, and can only be called once.\n 427→func (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n 428→\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n 429→\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n 430→\t\tif err != nil {\n 431→\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n 432→\t\t}\n 433→\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n 434→\t}\n 435→\n 436→\treturn m.FromCheckpoint(dir, from)\n 437→}\n 438→\n 439→func (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n 440→\tbr := bufio.NewReader(f)\n 441→\tcf := &CheckpointFile{}\n 442→\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n 443→\t\treturn err\n 444→\t}\n 445→\n 446→\tif cf.To != 0 && cf.To < from {\n 447→\t\treturn nil\n 448→\t}\n 449→\n 450→\tif err := l.loadFile(cf, m); err != nil {\n 451→\t\treturn err\n 452→\t}\n 453→\n 454→\treturn nil\n 455→}\n 456→\n 457→func (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n 458→\tfor name, metric := range cf.Metrics {\n 459→\t\tn := len(metric.Data)\n 460→\t\tb := &buffer{\n 461→\t\t\tfrequency: metric.Frequency,\n 462→\t\t\tstart: metric.Start,\n 463→\t\t\tdata: metric.Data[0:n:n],\n 464→\t\t\tprev: nil,\n 465→\t\t\tnext: nil,\n 466→\t\t\tarchived: true,\n 467→\t\t}\n 468→\n 469→\t\tminfo, ok := m.Metrics[name]\n 470→\t\tif !ok {\n 471→\t\t\tcontinue\n 472→\t\t}\n 473→\n 474→\t\tprev := l.metrics[minfo.offset]\n 475→\t\tif prev == nil {\n 476→\t\t\tl.metrics[minfo.offset] = b\n 477→\t\t} else {\n 478→\t\t\tif prev.start > b.start {\n 479→\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n 480→\t\t\t}\n 481→\n 482→\t\t\tb.prev = prev\n 483→\t\t\tprev.next = b\n 484→\t\t}\n 485→\t\tl.metrics[minfo.offset] = b\n 486→\t}\n 487→\n 488→\tif len(cf.Children) > 0 && l.children == nil {\n 489→\t\tl.children = make(map[string]*Level)\n 490→\t}\n 491→\n 492→\tfor sel, childCf := range cf.Children {\n 493→\t\tchild, ok := l.children[sel]\n 494→\t\tif !ok {\n 495→\t\t\tchild = &Level{\n 496→\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n 497→\t\t\t\tchildren: nil,\n 498→\t\t\t}\n 499→\t\t\tl.children[sel] = child\n 500→\t\t}\n 501→\n 502→\t\tif err := child.loadFile(childCf, m); err != nil {\n 503→\t\t\treturn err\n 504→\t\t}\n 505→\t}\n 506→\n 507→\treturn nil\n 508→}\n 509→\n 510→// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n 511→// single host directory. Snapshot files are loaded first (sorted by timestamp),\n 512→// then current.wal is replayed on top.\n 513→func (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n 514→\tdirentries, err := os.ReadDir(dir)\n 515→\tif err != nil {\n 516→\t\tif os.IsNotExist(err) {\n 517→\t\t\treturn 0, nil\n 518→\t\t}\n 519→\t\treturn 0, err\n 520→\t}\n 521→\n 522→\tallFiles := make([]fs.DirEntry, 0)\n 523→\tvar walEntry fs.DirEntry\n 524→\tfilesLoaded := 0\n 525→\n 526→\tfor _, e := range direntries {\n 527→\t\tif e.IsDir() {\n 528→\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n 529→\t\t\t// These are ignored; their data is not loaded.\n 530→\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n 531→\t\t\tcontinue\n 532→\t\t}\n 533→\n 534→\t\tname := e.Name()\n 535→\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n 536→\t\t\tallFiles = append(allFiles, e)\n 537→\t\t} else if name == \"current.wal\" {\n 538→\t\t\twalEntry = e\n 539→\t\t}\n 540→\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n 541→\t}\n 542→\n 543→\tfiles, err := findFiles(allFiles, from, true)\n 544→\tif err != nil {\n 545→\t\treturn filesLoaded, err\n 546→\t}\n 547→\n 548→\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n 549→\t\t\".json\": l.loadJSONFile,\n 550→\t\t\".bin\": l.loadBinaryFile,\n 551→\t}\n 552→\n 553→\tfor _, filename := range files {\n 554→\t\text := filepath.Ext(filename)\n 555→\t\tloader := loaders[ext]\n 556→\t\tif loader == nil {\n 557→\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n 558→\t\t\tcontinue\n 559→\t\t}\n 560→\n 561→\t\terr := func() error {\n 562→\t\t\tf, err := os.Open(path.Join(dir, filename))\n 563→\t\t\tif err != nil {\n 564→\t\t\t\treturn err\n 565→\t\t\t}\n 566→\t\t\tdefer f.Close()\n 567→\t\t\treturn loader(m, f, from)\n 568→\t\t}()\n 569→\t\tif err != nil {\n 570→\t\t\treturn filesLoaded, err\n 571→\t\t}\n 572→\t\tfilesLoaded++\n 573→\t}\n 574→\n 575→\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n 576→\tif walEntry != nil {\n 577→\t\terr := func() error {\n 578→\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n 579→\t\t\tif err != nil {\n 580→\t\t\t\treturn err\n 581→\t\t\t}\n 582→\t\t\tdefer f.Close()\n 583→\t\t\treturn l.loadWALFile(m, f, from)\n 584→\t\t}()\n 585→\t\tif err != nil {\n 586→\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n 587→\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n 588→\t\t} else {\n 589→\t\t\tfilesLoaded++\n 590→\t\t}\n 591→\t}\n 592→\n 593→\treturn filesLoaded, nil\n 594→}\n 595→\n 596→// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n 597→// Supports \".json\" (format: \".json\") and \".bin\" (format: \".bin\").\n 598→func parseTimestampFromFilename(name string) (int64, error) {\n 599→\tswitch {\n 600→\tcase strings.HasSuffix(name, \".json\"):\n 601→\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n 602→\tcase strings.HasSuffix(name, \".bin\"):\n 603→\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n 604→\tdefault:\n 605→\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n 606→\t}\n 607→}\n 608→\n 609→// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n 610→// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n 611→// last file before t if t falls between two files).\n 612→func findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n 613→\tnums := map[string]int64{}\n 614→\tfor _, e := range direntries {\n 615→\t\tname := e.Name()\n 616→\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n 617→\t\t\tcontinue\n 618→\t\t}\n 619→\n 620→\t\tts, err := parseTimestampFromFilename(name)\n 621→\t\tif err != nil {\n 622→\t\t\treturn nil, err\n 623→\t\t}\n 624→\t\tnums[name] = ts\n 625→\t}\n 626→\n 627→\tsort.Slice(direntries, func(i, j int) bool {\n 628→\t\ta, b := direntries[i], direntries[j]\n 629→\t\treturn nums[a.Name()] < nums[b.Name()]\n 630→\t})\n 631→\n 632→\tif len(nums) == 0 {\n 633→\t\treturn nil, nil\n 634→\t}\n 635→\n 636→\tfilenames := make([]string, 0)\n 637→\n 638→\tfor i, e := range direntries {\n 639→\t\tts1 := nums[e.Name()]\n 640→\n 641→\t\tif findMoreRecentFiles && t <= ts1 {\n 642→\t\t\tfilenames = append(filenames, e.Name())\n 643→\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n 644→\t\t\tfilenames = append(filenames, e.Name())\n 645→\t\t}\n 646→\n 647→\t\tif i == len(direntries)-1 {\n 648→\t\t\tcontinue\n 649→\t\t}\n 650→\n 651→\t\tenext := direntries[i+1]\n 652→\t\tts2 := nums[enext.Name()]\n 653→\n 654→\t\tif findMoreRecentFiles {\n 655→\t\t\tif ts1 < t && t < ts2 {\n 656→\t\t\t\tfilenames = append(filenames, e.Name())\n 657→\t\t\t}\n 658→\t\t}\n 659→\t}\n 660→\n 661→\treturn filenames, nil\n 662→}\n 663→"}]},"uuid":"89e1ba28-c7de-4028-9fa4-48847b7657ba","timestamp":"2026-03-13T07:54:54.088Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/checkpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements checkpoint persistence for the in-memory metric store.\n//\n// Checkpoints enable graceful restarts by periodically saving in-memory metric\n// data to disk in JSON or binary format. The checkpoint system:\n//\n// Key Features:\n// - Periodic background checkpointing via the Checkpointing() worker\n// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n// - Parallel checkpoint creation and loading using worker pools\n// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n// - Only saves unarchived data (archived data is already persisted elsewhere)\n// - GC optimization during loading to prevent excessive heap growth\n//\n// Checkpoint Workflow:\n// 1. Init() loads checkpoints within retention window at startup\n// 2. Checkpointing() worker periodically saves new data\n// 3. Shutdown() writes final checkpoint before exit\n//\n// File Organization:\n//\n//\tcheckpoints/\n//\t cluster1/\n//\t host001/\n//\t 1234567890.json (JSON format: full subtree snapshot)\n//\t 1234567890.bin (binary format: full subtree snapshot)\n//\t current.wal (WAL format: append-only per-entry log)\n//\t host002/\n//\t ...\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"io/fs\"\n\t\"os\"\n\t\"path\"\n\t\"path/filepath\"\n\t\"sort\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n)\n\n// CheckpointMetrics represents metric data in a checkpoint file.\n// Whenever the structure changes, update MarshalJSON as well!\ntype CheckpointMetrics struct {\n\tData []schema.Float `json:\"data\"`\n\tFrequency int64 `json:\"frequency\"`\n\tStart int64 `json:\"start\"`\n}\n\n// CheckpointFile represents the hierarchical structure of a checkpoint file.\n// It mirrors the Level tree structure from the MemoryStore.\ntype CheckpointFile struct {\n\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n\tChildren map[string]*CheckpointFile `json:\"children\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n}\n\n// lastCheckpoint tracks the timestamp of the last checkpoint creation.\nvar (\n\tlastCheckpoint time.Time\n\tlastCheckpointMu sync.Mutex\n)\n\n// Checkpointing starts a background worker that periodically saves metric data to disk.\n//\n// Checkpoints are written every 12 hours (hardcoded).\n//\n// Format behaviour:\n// - \"json\": Periodic checkpointing every checkpointInterval\n// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\nfunc Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n\tlastCheckpointMu.Lock()\n\tlastCheckpoint = time.Now()\n\tlastCheckpointMu.Unlock()\n\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\n\t\tconst checkpointInterval = 12 * time.Hour\n\t\td := checkpointInterval\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\tfrom := lastCheckpoint\n\t\t\t\tlastCheckpointMu.Unlock()\n\n\t\t\t\tnow := time.Now()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n\n\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n\t\t\t\t\t\tRotateWALFiles(hostDirs)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n//\n// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n// This method manually constructs JSON to avoid allocations and interface conversions.\nfunc (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n\tbuf = append(buf, `{\"frequency\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n\tbuf = append(buf, `,\"start\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n\tbuf = append(buf, `,\"data\":[`...)\n\tfor i, x := range cm.Data {\n\t\tif i != 0 {\n\t\t\tbuf = append(buf, ',')\n\t\t}\n\t\tif x.IsNaN() {\n\t\t\tbuf = append(buf, `null`...)\n\t\t} else {\n\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n\t\t}\n\t}\n\tbuf = append(buf, `]}`...)\n\treturn buf, nil\n}\n\n// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n//\n// Metrics at root and cluster levels are skipped. One file per host is created.\n// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n// at a time, allowing concurrent writes/reads to other hosts.\n//\n// Returns the number of checkpoint files created and any errors encountered.\nfunc (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n\t// Pre-calculate capacity by counting cluster/host pairs\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\tdir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\n\t\t\tfor workItem := range work {\n\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := 0; i < len(levels); i++ {\n\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\tdir: dir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n// Skips metrics that are already archived. Returns nil if no unarchived data exists.\nfunc (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tretval := &CheckpointFile{\n\t\tFrom: from,\n\t\tTo: to,\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfor metric, minfo := range m.Metrics {\n\t\tb := l.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\tallArchived := true\n\t\tb.iterFromTo(from, to, func(b *buffer) error {\n\t\t\tif !b.archived {\n\t\t\t\tallArchived = false\n\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n\t\t\t}\n\t\t\treturn nil\n\t\t})\n\n\t\tif allArchived {\n\t\t\tcontinue\n\t\t}\n\n\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n\t\tdata, start, end, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n\t\t\tdata[i] = schema.NaN\n\t\t}\n\n\t\tretval.Metrics[metric] = &CheckpointMetrics{\n\t\t\tFrequency: b.frequency,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tfor name, child := range l.children {\n\t\tval, err := child.toCheckpointFile(from, to, m)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif val != nil {\n\t\t\tretval.Children[name] = val\n\t\t}\n\t}\n\n\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n\t\treturn nil, nil\n\t}\n\n\treturn retval, nil\n}\n\n// toCheckpoint writes a Level's data to a JSON checkpoint file.\n// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\nfunc (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil && os.IsNotExist(err) {\n\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err == nil {\n\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\t\t}\n\t}\n\tif err != nil {\n\t\treturn err\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriter(f)\n\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n\t\treturn err\n\t}\n\n\treturn bw.Flush()\n}\n\n// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n// Returns error if directory structure is invalid.\nfunc enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n\tclustersDir, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, clusterDir := range clustersDir {\n\t\tif !clusterDir.IsDir() {\n\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n\t\t}\n\n\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, hostDir := range hostsDir {\n\t\t\tif !hostDir.IsDir() {\n\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n\t\t\t}\n\n\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n//\n// Uses worker pool to load cluster/host combinations. Returns number of files\n// loaded and any errors.\nfunc (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n\tvar wg sync.WaitGroup\n\twork := make(chan [2]string, Keys.NumWorkers*4)\n\tn, errs := int32(0), int32(0)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor host := range work {\n\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t}\n\t\t\t\tatomic.AddInt32(&n, int32(nn))\n\t\t\t}\n\t\t}()\n\t}\n\n\terr := enqueueCheckpointHosts(dir, work)\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n//\n// Creates checkpoint directory if it doesn't exist. This function must be called\n// before any writes or reads, and can only be called once.\nfunc (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n\t\t}\n\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n\t}\n\n\treturn m.FromCheckpoint(dir, from)\n}\n\nfunc (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\tcf := &CheckpointFile{}\n\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\treturn err\n\t}\n\n\tif cf.To != 0 && cf.To < from {\n\t\treturn nil\n\t}\n\n\tif err := l.loadFile(cf, m); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n\tfor name, metric := range cf.Metrics {\n\t\tn := len(metric.Data)\n\t\tb := &buffer{\n\t\t\tfrequency: metric.Frequency,\n\t\t\tstart: metric.Start,\n\t\t\tdata: metric.Data[0:n:n],\n\t\t\tprev: nil,\n\t\t\tnext: nil,\n\t\t\tarchived: true,\n\t\t}\n\n\t\tminfo, ok := m.Metrics[name]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tprev := l.metrics[minfo.offset]\n\t\tif prev == nil {\n\t\t\tl.metrics[minfo.offset] = b\n\t\t} else {\n\t\t\tif prev.start > b.start {\n\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n\t\t\t}\n\n\t\t\tb.prev = prev\n\t\t\tprev.next = b\n\t\t}\n\t\tl.metrics[minfo.offset] = b\n\t}\n\n\tif len(cf.Children) > 0 && l.children == nil {\n\t\tl.children = make(map[string]*Level)\n\t}\n\n\tfor sel, childCf := range cf.Children {\n\t\tchild, ok := l.children[sel]\n\t\tif !ok {\n\t\t\tchild = &Level{\n\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n\t\t\t\tchildren: nil,\n\t\t\t}\n\t\t\tl.children[sel] = child\n\t\t}\n\n\t\tif err := child.loadFile(childCf, m); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n// single host directory. Snapshot files are loaded first (sorted by timestamp),\n// then current.wal is replayed on top.\nfunc (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n\tdirentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn 0, nil\n\t\t}\n\t\treturn 0, err\n\t}\n\n\tallFiles := make([]fs.DirEntry, 0)\n\tvar walEntry fs.DirEntry\n\tfilesLoaded := 0\n\n\tfor _, e := range direntries {\n\t\tif e.IsDir() {\n\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n\t\t\t// These are ignored; their data is not loaded.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n\t\t\tcontinue\n\t\t}\n\n\t\tname := e.Name()\n\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n\t\t\tallFiles = append(allFiles, e)\n\t\t} else if name == \"current.wal\" {\n\t\t\twalEntry = e\n\t\t}\n\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n\t}\n\n\tfiles, err := findFiles(allFiles, from, true)\n\tif err != nil {\n\t\treturn filesLoaded, err\n\t}\n\n\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n\t\t\".json\": l.loadJSONFile,\n\t\t\".bin\": l.loadBinaryFile,\n\t}\n\n\tfor _, filename := range files {\n\t\text := filepath.Ext(filename)\n\t\tloader := loaders[ext]\n\t\tif loader == nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n\t\t\tcontinue\n\t\t}\n\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, filename))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn loader(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\treturn filesLoaded, err\n\t\t}\n\t\tfilesLoaded++\n\t}\n\n\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n\tif walEntry != nil {\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn l.loadWALFile(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n\t\t} else {\n\t\t\tfilesLoaded++\n\t\t}\n\t}\n\n\treturn filesLoaded, nil\n}\n\n// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n// Supports \".json\" (format: \".json\") and \".bin\" (format: \".bin\").\nfunc parseTimestampFromFilename(name string) (int64, error) {\n\tswitch {\n\tcase strings.HasSuffix(name, \".json\"):\n\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n\tcase strings.HasSuffix(name, \".bin\"):\n\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n\tdefault:\n\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n\t}\n}\n\n// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n// last file before t if t falls between two files).\nfunc findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n\tnums := map[string]int64{}\n\tfor _, e := range direntries {\n\t\tname := e.Name()\n\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tts, err := parseTimestampFromFilename(name)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tnums[name] = ts\n\t}\n\n\tsort.Slice(direntries, func(i, j int) bool {\n\t\ta, b := direntries[i], direntries[j]\n\t\treturn nums[a.Name()] < nums[b.Name()]\n\t})\n\n\tif len(nums) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfilenames := make([]string, 0)\n\n\tfor i, e := range direntries {\n\t\tts1 := nums[e.Name()]\n\n\t\tif findMoreRecentFiles && t <= ts1 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t}\n\n\t\tif i == len(direntries)-1 {\n\t\t\tcontinue\n\t\t}\n\n\t\tenext := direntries[i+1]\n\t\tts2 := nums[enext.Name()]\n\n\t\tif findMoreRecentFiles {\n\t\t\tif ts1 < t && t < ts2 {\n\t\t\t\tfilenames = append(filenames, e.Name())\n\t\t\t}\n\t\t}\n\t}\n\n\treturn filenames, nil\n}\n","numLines":663,"startLine":1,"totalLines":663}},"sourceToolAssistantUUID":"76f05b12-e874-46cd-9175-0f2f9612e301","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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Let me apply all the fixes."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":37147,"cache_read_input_tokens":20212,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":37147},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzihb5YbwH3qMnjrqqNJ","type":"assistant","uuid":"04000f4f-08d4-406b-a0d7-d2dd7b7eba14","timestamp":"2026-03-13T07:55:01.901Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","snapshot":{"messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v1","version":1,"backupTime":"2026-03-13T07:55:05.145Z"}},"timestamp":"2026-03-13T07:54:47.759Z"},"isSnapshotUpdate":true} +{"parentUuid":"04000f4f-08d4-406b-a0d7-d2dd7b7eba14","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HVK9JYxHA49WEKBuiNQPiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019R6RQMGUShLzT4RJE7XYnY","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","new_string":"\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":37147,"cache_read_input_tokens":20212,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":37147},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzihb5YbwH3qMnjrqqNJ","type":"assistant","uuid":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","timestamp":"2026-03-13T07:55:05.135Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_019R6RQMGUShLzT4RJE7XYnY","toolUseID":"toolu_019R6RQMGUShLzT4RJE7XYnY","timestamp":"2026-03-13T07:55:05.146Z","uuid":"5cba64e3-5dc4-46a7-81a9-d8d127182f9a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4526a7c8-6bb9-42d8-87b3-abfb5ed41829","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019R6RQMGUShLzT4RJE7XYnY","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"4c4e74ce-8707-428f-a6f3-70d4d155bfd0","timestamp":"2026-03-13T07:55:05.146Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","newString":"\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, err := child.free(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif child.isEmpty() {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":201,"oldLines":12,"newStart":201,"newLines":12,"lines":[" }"," "," for key, child := range l.children {","- m, err := child.free(t)","+ m, empty, err := child.freeAndCheckEmpty(t)"," n += m"," if err != nil {"," return n, 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len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 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successfully."}]},"uuid":"656af9cd-adcc-49eb-9d27-e990b5f97cc8","timestamp":"2026-03-13T07:55:12.733Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}","newString":"// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":214,"oldLines":6,"newStart":214,"newLines":54,"lines":[" return n, nil"," }"," ","+// freeAndCheckEmpty performs free() and atomically checks if the level is empty","+// while still holding its own lock, avoiding a TOCTOU race between free() and","+// a separate isEmpty() call.","+func (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {","+ l.lock.Lock()","+ defer l.lock.Unlock()","+","+ n := 0","+ for i, b := range l.metrics {","+ if b != nil {","+ delme, m := b.free(t)","+ n += m","+ if delme {","+ if cap(b.data) != BufferCap {","+ b.data = make([]schema.Float, 0, BufferCap)","+ }","+ b.lastUsed = time.Now().Unix()","+ bufferPool.Put(b)","+ l.metrics[i] = nil","+ }","+ }","+ }","+","+ for key, child := range l.children {","+ m, empty, err := child.freeAndCheckEmpty(t)","+ n += m","+ if err != nil {","+ return n, false, err","+ }","+ if empty {","+ delete(l.children, key)","+ }","+ }","+","+ // Check emptiness while still holding the lock","+ empty := len(l.children) == 0","+ if empty {","+ for _, b := range l.metrics {","+ if b != nil {","+ empty = false","+ break","+ }","+ }","+ }","+","+ return n, empty, nil","+}","+"," // isEmpty returns true if this level has no metrics and no children."," func (l *Level) isEmpty() bool {"," l.lock.RLock()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a9a6caef-0095-4614-9a0b-a46df3e7657d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"cb6037d5-b668-45f7-9d79-aaca67130e69","snapshot":{"messageId":"86090d3d-a25e-47c4-9400-11523820e0a0","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v1","version":1,"backupTime":"2026-03-13T07:55:05.145Z"},"pkg/metricstore/stats.go":{"backupFileName":"3fe420c4b160c1a8@v1","version":1,"backupTime":"2026-03-13T07:55:14.264Z"}},"timestamp":"2026-03-13T07:54:47.759Z"},"isSnapshotUpdate":true} +{"parentUuid":"656af9cd-adcc-49eb-9d27-e990b5f97cc8","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HVK9JYxHA49WEKBuiNQPiW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011ygzgomrXvgsjCatFv59yX","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/stats.go","old_string":"\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = 0\n\t\t}","new_string":"\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = int((t - 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b.start) / b.frequency)\n\t\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"math\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\ntype Stats struct {\n\tSamples int\n\tAvg schema.Float\n\tMin schema.Float\n\tMax schema.Float\n}\n\nfunc (b *buffer) stats(from, to int64) (Stats, int64, int64, error) {\n\tif from < b.start {\n\t\tif b.prev != nil {\n\t\t\treturn b.prev.stats(from, to)\n\t\t}\n\t\tfrom = b.start\n\t}\n\n\t// TODO: Check if b.closed and if so and the full buffer is queried,\n\t// use b.statistics instead of iterating over the buffer.\n\n\tsamples := 0\n\tsum, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32\n\n\tvar t int64\n\tfor t = from; t < to; t += b.frequency {\n\t\tidx := int((t - b.start) / b.frequency)\n\t\tif idx >= cap(b.data) {\n\t\t\tb = b.next\n\t\t\tif b == nil {\n\t\t\t\tbreak\n\t\t\t}\n\t\t\tidx = 0\n\t\t}\n\n\t\tif t < b.start || idx >= len(b.data) {\n\t\t\tcontinue\n\t\t}\n\n\t\txf := float64(b.data[idx])\n\t\tif math.IsNaN(xf) {\n\t\t\tcontinue\n\t\t}\n\n\t\tsamples += 1\n\t\tsum += xf\n\t\tmin = math.Min(min, xf)\n\t\tmax = math.Max(max, xf)\n\t}\n\n\treturn Stats{\n\t\tSamples: samples,\n\t\tAvg: schema.Float(sum) / schema.Float(samples),\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, t, nil\n}\n\n// Returns statistics for the requested metric on the selected node/level.\n// Data is aggregated to the selected level the same way as in `MemoryStore.Read`.\n// If `Stats.Samples` is zero, the statistics should not be considered as valid.\nfunc (m *MemoryStore) Stats(selector util.Selector, metric string, from, to int64) (*Stats, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, errors.New(\"invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, errors.New(\"unknown metric: \" + metric)\n\t}\n\n\tn, samples := 0, 0\n\tavg, min, max := schema.Float(0), math.MaxFloat32, -math.MaxFloat32\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tstats, cfrom, cto, err := b.stats(from, to)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto {\n\t\t\treturn ErrDataDoesNotAlign\n\t\t}\n\n\t\tsamples += stats.Samples\n\t\tavg += stats.Avg\n\t\tmin = math.Min(min, float64(stats.Min))\n\t\tmax = math.Max(max, float64(stats.Max))\n\t\tn += 1\n\t\treturn nil\n\t})\n\tif err != nil {\n\t\treturn nil, 0, 0, err\n\t}\n\n\tif n == 0 {\n\t\treturn nil, 0, 0, ErrNoData\n\t}\n\n\tif minfo.Aggregation == AvgAggregation {\n\t\tavg /= schema.Float(n)\n\t} else if n > 1 && minfo.Aggregation != SumAggregation {\n\t\treturn nil, 0, 0, errors.New(\"invalid aggregation\")\n\t}\n\n\treturn &Stats{\n\t\tSamples: samples,\n\t\tAvg: avg,\n\t\tMin: schema.Float(min),\n\t\tMax: schema.Float(max),\n\t}, from, to, nil\n}\n","structuredPatch":[{"oldStart":42,"oldLines":7,"newStart":42,"newLines":7,"lines":[" if b == nil {"," break"," }","- idx = 0","+ idx = int((t - 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides an efficient in-memory time-series metric storage system\n// with support for hierarchical data organization, checkpointing, and archiving.\n//\n// The package organizes metrics in a tree structure (cluster → host → component) and\n// provides concurrent read/write access to metric data with configurable aggregation strategies.\n// Background goroutines handle periodic checkpointing (JSON or Avro format), archiving old data,\n// and enforcing retention policies.\n//\n// Key features:\n// - In-memory metric storage with configurable retention\n// - Hierarchical data organization (selectors)\n// - Concurrent checkpoint/archive workers\n// - Support for sum and average aggregation\n// - NATS integration for metric ingestion\npackage metricstore\n\nimport (\n\t\"bytes\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"runtime\"\n\t\"runtime/debug\"\n\t\"slices\"\n\t\"sync\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/resampler\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// GlobalState holds the global state for the metric store with thread-safe access.\ntype GlobalState struct {\n\tmu sync.RWMutex\n\tlastRetentionTime int64\n\tselectorsExcluded bool\n}\n\nvar (\n\tsingleton sync.Once\n\tmsInstance *MemoryStore\n\t// shutdownFunc stores the context cancellation function created in Init\n\t// and is called during Shutdown to cancel all background goroutines\n\tshutdownFunc context.CancelFunc\n\tshutdownFuncMu sync.Mutex // Protects shutdownFunc from concurrent access\n\t// Create a global instance\n\tstate = &GlobalState{}\n)\n\n// NodeProvider provides information about nodes currently in use by running jobs.\n//\n// This interface allows metricstore to query job information without directly\n// depending on the repository package, breaking the import cycle.\n//\n// Implementations should return nodes that are actively processing jobs started\n// before the given timestamp. These nodes will be excluded from retention-based\n// garbage collection to prevent data loss for jobs that are still running or\n// recently completed.\ntype NodeProvider interface {\n\t// GetUsedNodes returns a map of cluster names to sorted lists of unique hostnames\n\t// that are currently in use by jobs that started before the given timestamp.\n\t//\n\t// Parameters:\n\t// - ts: Unix timestamp threshold - returns nodes with jobs started before this time\n\t//\n\t// Returns:\n\t// - Map of cluster names to lists of node hostnames that should be excluded from garbage collection\n\t// - Error if the query fails\n\tGetUsedNodes(ts int64) (map[string][]string, error)\n}\n\n// Metric represents a single metric data point to be written to the store.\ntype Metric struct {\n\tName string\n\tValue schema.Float\n\t// MetricConfig contains frequency and aggregation settings for this metric.\n\t// If Frequency is 0, configuration will be looked up from MemoryStore.Metrics during Write().\n\tMetricConfig MetricConfig\n}\n\n// MemoryStore is the main in-memory time-series metric storage implementation.\n//\n// It organizes metrics in a hierarchical tree structure where each level represents\n// a component of the system hierarchy (e.g., cluster → host → CPU). Each level can\n// store multiple metrics as time-series buffers.\n//\n// The store is initialized as a singleton via InitMetrics() and accessed via GetMemoryStore().\n// All public methods are safe for concurrent use.\ntype MemoryStore struct {\n\tMetrics map[string]MetricConfig\n\troot Level\n\tnodeProvider NodeProvider\n}\n\n// Init initializes the metric store from configuration and starts background workers.\n//\n// This function must be called exactly once before any other metricstore operations.\n// It performs the following initialization steps:\n// 1. Validates and decodes the metric store configuration\n// 2. Configures worker pool size (defaults to NumCPU/2+1, max 10)\n// 3. Loads metric configurations from all registered clusters\n// 4. Restores checkpoints within the retention window\n// 5. Starts background workers for retention, checkpointing, archiving, and monitoring\n// 6. Optionally subscribes to NATS for real-time metric ingestion\n//\n// Parameters:\n// - rawConfig: JSON configuration for the metric store (see MetricStoreConfig)\n// - wg: WaitGroup that will be incremented for each background goroutine started\n//\n// The function will call cclog.Fatal on critical errors during initialization.\n// Use Shutdown() to cleanly stop all background workers started by Init().\n//\n// Note: Signal handling must be implemented by the caller. Call Shutdown() when\n// receiving termination signals to ensure checkpoint data is persisted.\nfunc Init(rawConfig json.RawMessage, metrics map[string]MetricConfig, wg *sync.WaitGroup) {\n\tstartupTime := time.Now()\n\n\tif rawConfig != nil {\n\t\tconfig.Validate(configSchema, rawConfig)\n\t\tdec := json.NewDecoder(bytes.NewReader(rawConfig))\n\t\tdec.DisallowUnknownFields()\n\t\tif err := dec.Decode(&Keys); err != nil {\n\t\t\tcclog.Abortf(\"[METRICSTORE]> Metric Store Config Init: Could not decode config file '%s'.\\nError: %s\\n\", rawConfig, err.Error())\n\t\t}\n\t}\n\n\t// Set NumWorkers from config or use default\n\tif Keys.NumWorkers <= 0 {\n\t\tKeys.NumWorkers = min(runtime.NumCPU()/2+1, DefaultMaxWorkers)\n\t}\n\tcclog.Debugf(\"[METRICSTORE]> Using %d workers for checkpoint/archive operations\\n\", Keys.NumWorkers)\n\n\t// Pass the config.MetricStoreKeys\n\tInitMetrics(metrics)\n\n\tms := GetMemoryStore()\n\n\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\tif err != nil {\n\t\tcclog.Fatal(err)\n\t}\n\n\trestoreFrom := startupTime.Add(-d)\n\tcclog.Infof(\"[METRICSTORE]> Loading checkpoints newer than %s\\n\", restoreFrom.Format(time.RFC3339))\n\tfiles, err := ms.FromCheckpointFiles(Keys.Checkpoints.RootDir, restoreFrom.Unix())\n\tloadedData := ms.SizeInBytes() / 1024 / 1024 // In MB\n\tif err != nil {\n\t\tcclog.Fatalf(\"[METRICSTORE]> Loading checkpoints failed: %s\\n\", err.Error())\n\t} else {\n\t\tcclog.Infof(\"[METRICSTORE]> Checkpoints loaded (%d files, %d MB, that took %fs)\\n\", files, loadedData, time.Since(startupTime).Seconds())\n\t}\n\n\t// Try to use less memory by forcing a GC run here and then\n\t// lowering the target percentage. The default of 100 means\n\t// that only once the ratio of new allocations execeds the\n\t// previously active heap, a GC is triggered.\n\t// Forcing a GC here will set the \"previously active heap\"\n\t// to a minumum.\n\t// runtime.GC()\n\n\tctx, shutdown := context.WithCancel(context.Background())\n\n\tRetention(wg, ctx)\n\tCheckpointing(wg, ctx)\n\tCleanUp(wg, ctx)\n\tWALStaging(wg, ctx)\n\tMemoryUsageTracker(wg, ctx)\n\n\t// Note: Signal handling has been removed from this function.\n\t// The caller is responsible for handling shutdown signals and calling\n\t// the shutdown() function when appropriate.\n\t// Store the shutdown function for later use by Shutdown()\n\tshutdownFuncMu.Lock()\n\tshutdownFunc = shutdown\n\tshutdownFuncMu.Unlock()\n\n\tif Keys.Subscriptions != nil {\n\t\terr = ReceiveNats(ms, 1, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t}\n}\n\n// InitMetrics initializes the singleton MemoryStore instance with the given metric configurations.\n//\n// This function must be called before GetMemoryStore() and can only be called once due to\n// the singleton pattern. It assigns each metric an internal offset for efficient buffer indexing.\n//\n// Parameters:\n// - metrics: Map of metric names to their configurations (frequency and aggregation strategy)\n//\n// Panics if any metric has Frequency == 0, which indicates an invalid configuration.\n//\n// After this call, the global msInstance is ready for use via GetMemoryStore().\nfunc InitMetrics(metrics map[string]MetricConfig) {\n\tsingleton.Do(func() {\n\t\toffset := 0\n\t\tfor key, cfg := range metrics {\n\t\t\tif cfg.Frequency == 0 {\n\t\t\t\tpanic(\"[METRICSTORE]> invalid frequency\")\n\t\t\t}\n\n\t\t\tmetrics[key] = MetricConfig{\n\t\t\t\tFrequency: cfg.Frequency,\n\t\t\t\tAggregation: cfg.Aggregation,\n\t\t\t\toffset: offset,\n\t\t\t}\n\t\t\toffset += 1\n\t\t}\n\n\t\tmsInstance = &MemoryStore{\n\t\t\troot: Level{\n\t\t\t\tmetrics: make([]*buffer, len(metrics)),\n\t\t\t\tchildren: make(map[string]*Level),\n\t\t\t},\n\t\t\tMetrics: metrics,\n\t\t}\n\t})\n}\n\n// GetMemoryStore returns the singleton MemoryStore instance.\n//\n// Returns the initialized MemoryStore singleton. Calls cclog.Fatal if InitMetrics() was not called first.\n//\n// This function is safe for concurrent use after initialization.\nfunc GetMemoryStore() *MemoryStore {\n\tif msInstance == nil {\n\t\tcclog.Warnf(\"[METRICSTORE]> MemoryStore not initialized!\")\n\t}\n\n\treturn msInstance\n}\n\nfunc (ms *MemoryStore) GetMetricFrequency(metricName string) (int64, error) {\n\tif metric, ok := ms.Metrics[metricName]; ok {\n\t\treturn metric.Frequency, nil\n\t}\n\treturn 0, fmt.Errorf(\"[METRICSTORE]> metric %s not found\", metricName)\n}\n\n// SetNodeProvider sets the NodeProvider implementation for the MemoryStore.\n// This must be called during initialization to provide job state information\n// for selective buffer retention during Free operations.\n// If not set, the Free function will fall back to freeing all buffers.\nfunc (ms *MemoryStore) SetNodeProvider(provider NodeProvider) {\n\tms.nodeProvider = provider\n}\n\n// Shutdown performs a graceful shutdown of the metric store.\n//\n// This function cancels all background goroutines started by Init() and writes\n// a final checkpoint to disk before returning. It should be called when the\n// application receives a termination signal.\n//\n// The function will:\n// 1. Cancel the context to stop all background workers\n// 2. Close the WAL messages channel if using WAL format\n// 3. Write a final checkpoint to preserve in-memory data\n// 4. Log any errors encountered during shutdown\n//\n// Note: This function blocks until the final checkpoint is written.\nfunc Shutdown() {\n\tshutdownFuncMu.Lock()\n\tdefer shutdownFuncMu.Unlock()\n\tif shutdownFunc != nil {\n\t\tshutdownFunc()\n\t}\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tclose(WALMessages)\n\t}\n\n\tcclog.Infof(\"[METRICSTORE]> Writing to '%s'...\\n\", Keys.Checkpoints.RootDir)\n\tvar files int\n\tvar err error\n\n\tms := GetMemoryStore()\n\n\tlastCheckpointMu.Lock()\n\tfrom := lastCheckpoint\n\tlastCheckpointMu.Unlock()\n\n\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\tvar hostDirs []string\n\t\tfiles, hostDirs, err = ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t\tif err == nil {\n\t\t\tRotateWALFilesAfterShutdown(hostDirs)\n\t\t}\n\t} else {\n\t\tfiles, err = ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), time.Now().Unix())\n\t}\n\n\tif err != nil {\n\t\tcclog.Errorf(\"[METRICSTORE]> Writing checkpoint failed: %s\\n\", err.Error())\n\t}\n\tcclog.Infof(\"[METRICSTORE]> Done! (%d files written)\\n\", files)\n}\n\n// Retention starts a background goroutine that periodically frees old metric data.\n//\n// This worker runs at half the retention interval and calls Free() to remove buffers\n// older than the configured retention time. It respects the NodeProvider to preserve\n// data for nodes with active jobs.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc Retention(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\td, err := time.ParseDuration(Keys.RetentionInMemory)\n\t\tif err != nil {\n\t\t\tcclog.Fatal(err)\n\t\t}\n\t\tif d <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\ttickInterval := d / 2\n\t\tif tickInterval <= 0 {\n\t\t\treturn\n\t\t}\n\t\tticker := time.NewTicker(tickInterval)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tstate.mu.Lock()\n\n\t\t\t\tt := time.Now().Add(-d)\n\n\t\t\t\tstate.lastRetentionTime = t.Unix()\n\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start freeing buffers (older than %s)...\\n\", t.Format(time.RFC3339))\n\n\t\t\t\tfreed, err := Free(ms, t)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> freeing up buffers failed: %s\\n\", err.Error())\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d buffers freed\\n\", freed)\n\t\t\t\t}\n\n\t\t\t\tstate.mu.Unlock()\n\n\t\t\t\t// Clean up the buffer pool\n\t\t\t\tbufferPool.Clean(state.lastRetentionTime)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MemoryUsageTracker starts a background goroutine that monitors memory usage.\n//\n// This worker checks actual process memory usage (via runtime.MemStats) periodically\n// and force-frees buffers if memory exceeds the configured cap. It uses FreeOSMemory()\n// to return memory to the OS after freeing buffers, avoiding aggressive GC that causes\n// performance issues.\n//\n// The tracker logs both actual memory usage (heap allocated) and metric data size for\n// visibility into memory overhead from Go runtime structures and allocations.\n//\n// Parameters:\n// - wg: WaitGroup to signal completion when context is cancelled\n// - ctx: Context for cancellation signal\n//\n// The goroutine exits when ctx is cancelled.\nfunc MemoryUsageTracker(wg *sync.WaitGroup, ctx context.Context) {\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\t\tnormalInterval := DefaultMemoryUsageTrackerInterval\n\t\tfastInterval := 30 * time.Second\n\n\t\tif normalInterval <= 0 {\n\t\t\treturn\n\t\t}\n\n\t\tticker := time.NewTicker(normalInterval)\n\t\tdefer ticker.Stop()\n\t\tcurrentInterval := normalInterval\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tvar mem runtime.MemStats\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB := float64(mem.Alloc) / 1e9\n\t\t\t\tmetricDataGB := ms.SizeInGB()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory usage: %.2f GB actual (%.2f GB metric data)\", actualMemoryGB, metricDataGB)\n\n\t\t\t\tfreedExcluded := 0\n\t\t\t\tfreedEmergency := 0\n\t\t\t\tvar err error\n\n\t\t\t\tstate.mu.RLock()\n\t\t\t\tlastRetention := state.lastRetentionTime\n\t\t\t\tselectorsExcluded := state.selectorsExcluded\n\t\t\t\tstate.mu.RUnlock()\n\n\t\t\t\tif lastRetention != 0 && selectorsExcluded {\n\t\t\t\t\tfreedExcluded, err = ms.Free(nil, lastRetention)\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while force-freeing the excluded buffers: %s\", err)\n\t\t\t\t\t}\n\n\t\t\t\t\tif freedExcluded > 0 {\n\t\t\t\t\t\tdebug.FreeOSMemory()\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d excluded buffers force-freed\", freedExcluded)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\tif actualMemoryGB > float64(Keys.MemoryCap) {\n\t\t\t\t\tcclog.Warnf(\"[METRICSTORE]> memory usage %.2f GB exceeds cap %d GB, starting emergency buffer freeing\", actualMemoryGB, Keys.MemoryCap)\n\n\t\t\t\t\t// Use progressive time-based Free with increasing threshold\n\t\t\t\t\t// instead of ForceFree loop — fewer tree traversals, more effective\n\t\t\t\t\td, parseErr := time.ParseDuration(Keys.RetentionInMemory)\n\t\t\t\t\tif parseErr != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> cannot parse retention duration: %s\", parseErr)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthresholds := []float64{0.75, 0.5, 0.25}\n\t\t\t\t\t\tfor _, fraction := range thresholds {\n\t\t\t\t\t\t\tthreshold := time.Now().Add(-time.Duration(float64(d) * fraction))\n\t\t\t\t\t\t\tfreed, freeErr := ms.Free(nil, threshold.Unix())\n\t\t\t\t\t\t\tif freeErr != nil {\n\t\t\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while freeing buffers at %.0f%% retention: %s\", fraction*100, freeErr)\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tfreedEmergency += freed\n\n\t\t\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\t\t\truntime.GC()\n\t\t\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\t\t\tif actualMemoryGB < float64(Keys.MemoryCap) {\n\t\t\t\t\t\t\t\tbreak\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\n\t\t\t\t\tbufferPool.Clear()\n\t\t\t\t\tdebug.FreeOSMemory()\n\n\t\t\t\t\truntime.ReadMemStats(&mem)\n\t\t\t\t\tactualMemoryGB = float64(mem.Alloc) / 1e9\n\n\t\t\t\t\tif actualMemoryGB >= float64(Keys.MemoryCap) {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> after emergency frees (%d buffers), memory usage %.2f GB still at/above cap %d GB\", freedEmergency, actualMemoryGB, Keys.MemoryCap)\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> emergency freeing complete: %d buffers freed, memory now %.2f GB\", freedEmergency, actualMemoryGB)\n\t\t\t\t\t}\n\t\t\t\t}\n\n\t\t\t\t// Adaptive ticker: check more frequently when memory is high\n\t\t\t\tmemoryRatio := actualMemoryGB / float64(Keys.MemoryCap)\n\t\t\t\tif memoryRatio > 0.8 && currentInterval != fastInterval {\n\t\t\t\t\tticker.Reset(fastInterval)\n\t\t\t\t\tcurrentInterval = fastInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to fast check interval (30s)\", memoryRatio*100)\n\t\t\t\t} else if memoryRatio <= 0.8 && currentInterval != normalInterval {\n\t\t\t\t\tticker.Reset(normalInterval)\n\t\t\t\t\tcurrentInterval = normalInterval\n\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> memory at %.0f%% of cap, switching to normal check interval\", memoryRatio*100)\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// Free removes metric data older than the given time while preserving data for active nodes.\n//\n// This function implements intelligent retention by consulting the NodeProvider (if configured)\n// to determine which nodes are currently in use by running jobs. Data for these nodes is\n// preserved even if older than the retention time.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - t: Time threshold - buffers with data older than this will be freed\n//\n// Returns:\n// - Number of buffers freed\n// - Error if NodeProvider query fails\n//\n// Behavior:\n// - If no NodeProvider is set: frees all buffers older than t\n// - If NodeProvider returns empty map: frees all buffers older than t\n// - Otherwise: preserves buffers for nodes returned by GetUsedNodes(), frees others\nfunc Free(ms *MemoryStore, t time.Time) (int, error) {\n\t// If no NodeProvider is configured, free all buffers older than t\n\tif ms.nodeProvider == nil {\n\t\treturn ms.Free(nil, t.Unix())\n\t}\n\n\texcludeSelectors, err := ms.nodeProvider.GetUsedNodes(t.Unix())\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\n\tswitch lenMap := len(excludeSelectors); lenMap {\n\n\t// If the length of the map returned by GetUsedNodes() is 0,\n\t// then use default Free method with nil selector\n\tcase 0:\n\t\tstate.selectorsExcluded = false\n\t\treturn ms.Free(nil, t.Unix())\n\n\t// Else formulate selectors, exclude those from the map\n\t// and free the rest of the selectors\n\tdefault:\n\t\tstate.selectorsExcluded = true\n\t\tselectors := GetSelectors(ms, excludeSelectors)\n\t\treturn FreeSelected(ms, selectors, t)\n\t}\n}\n\n// FreeSelected frees buffers for specific selectors while preserving others.\n//\n// This function is used when we want to retain some specific nodes beyond the retention time.\n// It iterates through the provided selectors and frees their associated buffers.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - selectors: List of selector paths to free (e.g., [[\"cluster1\", \"node1\"], [\"cluster2\", \"node2\"]])\n// - t: Time threshold for freeing buffers\n//\n// Returns the total number of buffers freed and any error encountered.\nfunc FreeSelected(ms *MemoryStore, selectors [][]string, t time.Time) (int, error) {\n\tfreed := 0\n\n\tfor _, selector := range selectors {\n\n\t\tfreedBuffers, err := ms.Free(selector, t.Unix())\n\t\tif err != nil {\n\t\t\tcclog.Errorf(\"error while freeing selected buffers: %#v\", err)\n\t\t}\n\t\tfreed += freedBuffers\n\n\t}\n\n\treturn freed, nil\n}\n\n// GetSelectors returns all selectors at depth 2 (cluster/node level) that are NOT in the exclusion map.\n//\n// This function generates a list of selectors whose buffers should be freed by excluding\n// selectors that correspond to nodes currently in use by running jobs.\n//\n// Parameters:\n// - ms: The MemoryStore instance\n// - excludeSelectors: Map of cluster names to node hostnames that should NOT be freed\n//\n// Returns a list of selectors ([]string paths) that can be safely freed.\n//\n// Example:\n//\n//\tIf the tree has paths [\"emmy\", \"node001\"] and [\"emmy\", \"node002\"],\n//\tand excludeSelectors contains {\"emmy\": [\"node001\"]},\n//\tthen only [[\"emmy\", \"node002\"]] is returned.\nfunc GetSelectors(ms *MemoryStore, excludeSelectors map[string][]string) [][]string {\n\tallSelectors := ms.GetPaths(2)\n\n\tfilteredSelectors := make([][]string, 0, len(allSelectors))\n\n\tfor _, path := range allSelectors {\n\t\tif len(path) < 2 {\n\t\t\tcontinue\n\t\t}\n\n\t\tkey := path[0] // The \"Key\" (Level 1)\n\t\tvalue := path[1] // The \"Value\" (Level 2)\n\n\t\texclude := false\n\n\t\t// Check if the key exists in our exclusion map\n\t\tif excludedValues, exists := excludeSelectors[key]; exists {\n\t\t\t// The key exists, now check if the specific value is in the exclusion list\n\t\t\tif slices.Contains(excludedValues, value) {\n\t\t\t\texclude = true\n\t\t\t}\n\t\t}\n\n\t\tif !exclude {\n\t\t\tfilteredSelectors = append(filteredSelectors, path)\n\t\t}\n\t}\n\n\treturn filteredSelectors\n}\n\n// GetPaths returns a list of lists (paths) to the specified depth.\nfunc (ms *MemoryStore) GetPaths(targetDepth int) [][]string {\n\tvar results [][]string\n\n\t// Start recursion. Initial path is empty.\n\t// We treat Root as depth 0.\n\tms.root.collectPaths(0, targetDepth, []string{}, &results)\n\n\treturn results\n}\n\n// Write all values in `metrics` to the level specified by `selector` for time `ts`.\n// Look at `findLevelOrCreate` for how selectors work.\nfunc (m *MemoryStore) Write(selector []string, ts int64, metrics []Metric) error {\n\tvar ok bool\n\tfor i, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tmetric.MetricConfig, ok = m.Metrics[metric.Name]\n\t\t\tif !ok {\n\t\t\t\tcclog.Debugf(\"[METRICSTORE]> Unknown metric '%s' in Write() - skipping\", metric.Name)\n\t\t\t\tmetric.MetricConfig.Frequency = 0\n\t\t\t}\n\t\t\tmetrics[i] = metric\n\t\t}\n\t}\n\n\treturn m.WriteToLevel(&m.root, selector, ts, metrics)\n}\n\nfunc (m *MemoryStore) GetLevel(selector []string) *Level {\n\treturn m.root.findLevelOrCreate(selector, len(m.Metrics))\n}\n\n// WriteToLevel assumes that `minfo` in `metrics` is filled in\nfunc (m *MemoryStore) WriteToLevel(l *Level, selector []string, ts int64, metrics []Metric) error {\n\tl = l.findLevelOrCreate(selector, len(m.Metrics))\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tfor _, metric := range metrics {\n\t\tif metric.MetricConfig.Frequency == 0 {\n\t\t\tcontinue\n\t\t}\n\n\t\tb := l.metrics[metric.MetricConfig.offset]\n\t\tif b == nil {\n\t\t\t// First write to this metric and level\n\t\t\tb = newBuffer(ts, metric.MetricConfig.Frequency)\n\t\t\tl.metrics[metric.MetricConfig.offset] = b\n\t\t}\n\n\t\tnb, err := b.write(ts, metric.Value)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\t// Last write created a new buffer...\n\t\tif b != nb {\n\t\t\tl.metrics[metric.MetricConfig.offset] = nb\n\t\t}\n\t}\n\treturn nil\n}\n\n// Read returns all values for metric `metric` from `from` to `to` for the selected level(s).\n// If the level does not hold the metric itself, the data will be aggregated recursively from the children.\n// The second and third return value are the actual from/to for the data. Those can be different from\n// the range asked for if no data was available.\nfunc (m *MemoryStore) Read(selector util.Selector, metric string, from, to, resolution int64) ([]schema.Float, int64, int64, int64, error) {\n\tif from > to {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid time range\")\n\t}\n\n\tminfo, ok := m.Metrics[metric]\n\tif !ok {\n\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> unknown metric: \" + metric)\n\t}\n\n\tn, data := 0, make([]schema.Float, (to-from)/minfo.Frequency+1)\n\n\terr := m.root.findBuffers(selector, minfo.offset, func(b *buffer) error {\n\t\tcdata, cfrom, cto, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tif n == 0 {\n\t\t\tfrom, to = cfrom, cto\n\t\t} else if from != cfrom || to != cto || len(data) != len(cdata) {\n\t\t\tmissingfront, missingback := int((from-cfrom)/minfo.Frequency), int((to-cto)/minfo.Frequency)\n\t\t\tif missingfront != 0 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tnewlen := len(cdata) - missingback\n\t\t\tif newlen < 1 {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\t\t\tcdata = cdata[0:newlen]\n\t\t\tif len(cdata) != len(data) {\n\t\t\t\treturn ErrDataDoesNotAlign\n\t\t\t}\n\n\t\t\tfrom, to = cfrom, cto\n\t\t}\n\n\t\tdata = cdata\n\t\tn += 1\n\t\treturn nil\n\t})\n\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t} else if n == 0 {\n\t\treturn nil, 0, 0, 0, ErrNoHostOrMetric\n\t} else if n > 1 {\n\t\tif minfo.Aggregation == AvgAggregation {\n\t\t\tnormalize := 1. / schema.Float(n)\n\t\t\tfor i := 0; i < len(data); i++ {\n\t\t\t\tdata[i] *= normalize\n\t\t\t}\n\t\t} else if minfo.Aggregation != SumAggregation {\n\t\t\treturn nil, 0, 0, 0, errors.New(\"[METRICSTORE]> invalid aggregation\")\n\t\t}\n\t}\n\n\tdata, resolution, err = resampler.LargestTriangleThreeBucket(data, minfo.Frequency, resolution)\n\tif err != nil {\n\t\treturn nil, 0, 0, 0, err\n\t}\n\n\treturn data, from, to, resolution, nil\n}\n\n// Free releases all buffers for the selected level and all its children that\n// contain only values older than `t`.\nfunc (m *MemoryStore) Free(selector []string, t int64) (int, error) {\n\treturn m.GetLevel(selector).free(t)\n}\n\n// ForceFree unconditionally removes the oldest buffer from each metric chain.\nfunc (m *MemoryStore) ForceFree() (int, error) {\n\treturn m.GetLevel(nil).forceFree()\n}\n\nfunc (m *MemoryStore) FreeAll() error {\n\tfor k := range m.root.children {\n\t\tdelete(m.root.children, k)\n\t}\n\n\treturn nil\n}\n\nfunc (m *MemoryStore) SizeInBytes() int64 {\n\treturn m.root.sizeInBytes()\n}\n\nfunc (m *MemoryStore) SizeInGB() float64 {\n\treturn float64(m.root.sizeInBytes()) / 1e9\n}\n\n// ListChildren , given a selector, returns a list of all children of the level\n// selected.\nfunc (m *MemoryStore) ListChildren(selector []string) []string {\n\tlvl := &m.root\n\tfor lvl != nil && len(selector) != 0 {\n\t\tlvl.lock.RLock()\n\t\tnext := 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains the API types and data fetching logic for querying metric data\n// from the in-memory metric store. It provides structures for building complex queries\n// with support for aggregation, scaling, padding, and statistics computation.\npackage metricstore\n\nimport (\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\nvar (\n\t// ErrNoHostOrMetric is returned when the metric store does not find the host or the metric\n\tErrNoHostOrMetric error = errors.New(\"[METRICSTORE]> metric or host not found\")\n\t// ErrInvalidTimeRange is returned when a query has 'from' >= 'to'\n\tErrInvalidTimeRange = errors.New(\"[METRICSTORE]> invalid time range: 'from' must be before 'to'\")\n\t// ErrEmptyCluster is returned when a query with ForAllNodes has no cluster specified\n\tErrEmptyCluster = errors.New(\"[METRICSTORE]> cluster name cannot be empty\")\n)\n\n// APIMetricData represents the response data for a single metric query.\n//\n// It contains both the time-series data points and computed statistics (avg, min, max).\n// If an error occurred during data retrieval, the Error field will be set and other\n// fields may be incomplete.\ntype APIMetricData struct {\n\tError *string `json:\"error,omitempty\"`\n\tData schema.FloatArray `json:\"data,omitempty\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tResolution int64 `json:\"resolution\"`\n\tAvg schema.Float `json:\"avg\"`\n\tMin schema.Float `json:\"min\"`\n\tMax schema.Float `json:\"max\"`\n}\n\n// APIQueryRequest represents a batch query request for metric data.\n//\n// It supports two modes of operation:\n// 1. Explicit queries via the Queries field\n// 2. Automatic query generation via ForAllNodes (queries all specified metrics for all nodes in the cluster)\n//\n// The request can be customized with flags to include/exclude statistics, raw data, and padding.\ntype APIQueryRequest struct {\n\tCluster string `json:\"cluster\"`\n\tQueries []APIQuery `json:\"queries\"`\n\tForAllNodes []string `json:\"for-all-nodes\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n\tWithStats bool `json:\"with-stats\"`\n\tWithData bool `json:\"with-data\"`\n\tWithPadding bool `json:\"with-padding\"`\n}\n\n// APIQueryResponse represents the response to an APIQueryRequest.\n//\n// Results is a 2D array where each outer element corresponds to a query,\n// and each inner element corresponds to a selector within that query\n// (e.g., multiple CPUs or cores).\ntype APIQueryResponse struct {\n\tQueries []APIQuery `json:\"queries,omitempty\"`\n\tResults [][]APIMetricData `json:\"results\"`\n}\n\n// APIQuery represents a single metric query with optional hierarchical selectors.\n//\n// The hierarchical selection works as follows:\n// - Hostname: The node to query\n// - Type + TypeIds: First level of hierarchy (e.g., \"cpu\" + [\"0\", \"1\", \"2\"])\n// - SubType + SubTypeIds: Second level of hierarchy (e.g., \"core\" + [\"0\", \"1\"])\n//\n// If Aggregate is true, data from multiple type/subtype IDs will be aggregated according\n// to the metric's aggregation strategy. Otherwise, separate results are returned for each combination.\ntype APIQuery struct {\n\tType *string `json:\"type,omitempty\"`\n\tSubType *string `json:\"subtype,omitempty\"`\n\tMetric string `json:\"metric\"`\n\tHostname string `json:\"host\"`\n\tResolution int64 `json:\"resolution\"`\n\tTypeIds []string `json:\"type-ids,omitempty\"`\n\tSubTypeIds []string `json:\"subtype-ids,omitempty\"`\n\tScaleFactor schema.Float `json:\"scale-by,omitempty\"`\n\tAggregate bool `json:\"aggreg\"`\n}\n\n// AddStats computes and populates the Avg, Min, and Max fields from the Data array.\n//\n// NaN values in the data are ignored during computation. If all values are NaN,\n// the statistics fields will be set to NaN.\n//\n// TODO: Optimize this, just like the stats endpoint!\nfunc (data *APIMetricData) AddStats() {\n\tn := 0\n\tsum, min, max := 0.0, math.MaxFloat64, -math.MaxFloat64\n\tfor _, x := range data.Data {\n\t\tif x.IsNaN() {\n\t\t\tcontinue\n\t\t}\n\n\t\tn += 1\n\t\tsum += float64(x)\n\t\tmin = math.Min(min, float64(x))\n\t\tmax = math.Max(max, float64(x))\n\t}\n\n\tif n > 0 {\n\t\tavg := sum / float64(n)\n\t\tdata.Avg = schema.Float(avg)\n\t\tdata.Min = schema.Float(min)\n\t\tdata.Max = schema.Float(max)\n\t} else {\n\t\tdata.Avg, data.Min, data.Max = schema.NaN, schema.NaN, schema.NaN\n\t}\n}\n\n// ScaleBy multiplies all data points and statistics by the given factor.\n//\n// This is commonly used for unit conversion (e.g., bytes to gigabytes).\n// Scaling by 0 or 1 is a no-op for performance reasons.\nfunc (data *APIMetricData) ScaleBy(f schema.Float) {\n\tif f == 0 || f == 1 {\n\t\treturn\n\t}\n\n\tdata.Avg *= f\n\tdata.Min *= f\n\tdata.Max *= f\n\tfor i := 0; i < len(data.Data); i++ {\n\t\tdata.Data[i] *= f\n\t}\n}\n\n// PadDataWithNull pads the beginning of the data array with NaN values if needed.\n//\n// This ensures that the data aligns with the requested 'from' timestamp, even if\n// the metric store doesn't have data for the earliest time points. This is useful\n// for maintaining consistent array indexing across multiple queries.\n//\n// Parameters:\n// - ms: MemoryStore instance to lookup metric configuration\n// - from: The requested start timestamp\n// - to: The requested end timestamp (unused but kept for API consistency)\n// - metric: The metric name to lookup frequency information\nfunc (data *APIMetricData) PadDataWithNull(ms *MemoryStore, from, to int64, metric string) {\n\tminfo, ok := ms.Metrics[metric]\n\tif !ok {\n\t\treturn\n\t}\n\n\tif (data.From / minfo.Frequency) > (from / minfo.Frequency) {\n\t\tpadfront := int((data.From / minfo.Frequency) - (from / minfo.Frequency))\n\t\tndata := make([]schema.Float, 0, padfront+len(data.Data))\n\t\tfor range padfront {\n\t\t\tndata = append(ndata, schema.NaN)\n\t\t}\n\t\tfor j := 0; j < len(data.Data); j++ {\n\t\t\tndata = append(ndata, data.Data[j])\n\t\t}\n\t\tdata.Data = ndata\n\t}\n}\n\n// FetchData executes a batch metric query request and returns the results.\n//\n// This is the primary API for retrieving metric data from the memory store. It supports:\n// - Individual queries via req.Queries\n// - Batch queries for all nodes via req.ForAllNodes\n// - Hierarchical selector construction (cluster → host → type → subtype)\n// - Optional statistics computation (avg, min, max)\n// - Optional data scaling\n// - Optional data padding with NaN values\n//\n// The function constructs selectors based on the query parameters and calls MemoryStore.Read()\n// for each selector. If a query specifies Aggregate=false with multiple type/subtype IDs,\n// separate results are returned for each combination.\n//\n// Parameters:\n// - req: The query request containing queries, time range, and options\n//\n// Returns:\n// - APIQueryResponse containing results for each query, or error if validation fails\n//\n// Errors:\n// - ErrInvalidTimeRange if req.From > req.To\n// - ErrEmptyCluster if req.ForAllNodes is used without specifying a cluster\n// - Error if MemoryStore is not initialized\n// - Individual query errors are stored in APIMetricData.Error field\nfunc FetchData(req APIQueryRequest) (*APIQueryResponse, error) {\n\tif req.From > req.To {\n\t\treturn nil, ErrInvalidTimeRange\n\t}\n\tif req.Cluster == \"\" && req.ForAllNodes != nil {\n\t\treturn nil, ErrEmptyCluster\n\t}\n\n\treq.WithData = true\n\tms := GetMemoryStore()\n\tif ms == nil {\n\t\treturn nil, fmt.Errorf(\"[METRICSTORE]> memorystore not initialized\")\n\t}\n\n\tresponse := APIQueryResponse{\n\t\tResults: make([][]APIMetricData, 0, len(req.Queries)),\n\t}\n\tif req.ForAllNodes != nil {\n\t\tnodes := ms.ListChildren([]string{req.Cluster})\n\t\tfor _, node := range nodes {\n\t\t\tfor _, metric := range req.ForAllNodes {\n\t\t\t\tq := APIQuery{\n\t\t\t\t\tMetric: metric,\n\t\t\t\t\tHostname: node,\n\t\t\t\t}\n\t\t\t\treq.Queries = append(req.Queries, q)\n\t\t\t\tresponse.Queries = append(response.Queries, q)\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, query := range req.Queries {\n\t\tsels := make([]util.Selector, 0, 1)\n\t\tif query.Aggregate || query.Type == nil {\n\t\t\tsel := util.Selector{{String: req.Cluster}, {String: query.Hostname}}\n\t\t\tif query.Type != nil {\n\t\t\t\tif len(query.TypeIds) == 1 {\n\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.Type + query.TypeIds[0]})\n\t\t\t\t} else {\n\t\t\t\t\tids := make([]string, len(query.TypeIds))\n\t\t\t\t\tfor i, id := range query.TypeIds {\n\t\t\t\t\t\tids[i] = *query.Type + id\n\t\t\t\t\t}\n\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t}\n\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tif len(query.SubTypeIds) == 1 {\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{String: *query.SubType + query.SubTypeIds[0]})\n\t\t\t\t\t} else {\n\t\t\t\t\t\tids := make([]string, len(query.SubTypeIds))\n\t\t\t\t\t\tfor i, id := range query.SubTypeIds {\n\t\t\t\t\t\t\tids[i] = *query.SubType + id\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsel = append(sel, util.SelectorElement{Group: ids})\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tsels = append(sels, sel)\n\t\t} else {\n\t\t\tfor _, typeID := range query.TypeIds {\n\t\t\t\tif query.SubType != nil {\n\t\t\t\t\tfor _, subTypeID := range query.SubTypeIds {\n\t\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t\t\t{String: *query.SubType + subTypeID},\n\t\t\t\t\t\t})\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tsels = append(sels, util.Selector{\n\t\t\t\t\t\t{String: req.Cluster},\n\t\t\t\t\t\t{String: query.Hostname},\n\t\t\t\t\t\t{String: *query.Type + typeID},\n\t\t\t\t\t})\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tvar err error\n\t\tres := make([]APIMetricData, 0, len(sels))\n\t\tfor _, sel := range sels {\n\t\t\tdata := APIMetricData{}\n\n\t\t\tdata.Data, data.From, data.To, data.Resolution, err = ms.Read(sel, query.Metric, req.From, req.To, query.Resolution)\n\t\t\tif err != nil {\n\t\t\t\t// Skip Error If Just Missing Host or Metric, Continue\n\t\t\t\t// Empty Return For Metric Handled Gracefully By Frontend\n\t\t\t\tif err != ErrNoHostOrMetric {\n\t\t\t\t\tmsg := err.Error()\n\t\t\t\t\tdata.Error = &msg\n\t\t\t\t\tres = append(res, data)\n\t\t\t\t} else {\n\t\t\t\t\tcclog.Warnf(\"failed to fetch '%s' from host '%s' (cluster: %s): %s\", query.Metric, query.Hostname, req.Cluster, err.Error())\n\t\t\t\t}\n\t\t\t\tcontinue\n\t\t\t}\n\n\t\t\tif req.WithStats {\n\t\t\t\tdata.AddStats()\n\t\t\t}\n\t\t\tif query.ScaleFactor != 0 {\n\t\t\t\tdata.ScaleBy(query.ScaleFactor)\n\t\t\t}\n\t\t\tif req.WithPadding {\n\t\t\t\tdata.PadDataWithNull(ms, req.From, req.To, query.Metric)\n\t\t\t}\n\t\t\tif !req.WithData {\n\t\t\t\tdata.Data = nil\n\t\t\t}\n\t\t\tres = append(res, data)\n\t\t}\n\t\tresponse.Results = append(response.Results, res)\n\t}\n\n\treturn &response, nil\n}\n","structuredPatch":[{"oldStart":127,"oldLines":7,"newStart":127,"newLines":7,"lines":[" // This is commonly used for unit conversion (e.g., bytes to gigabytes)."," // Scaling by 0 or 1 is a no-op for performance reasons."," func (data *APIMetricData) ScaleBy(f schema.Float) {","- if f == 0 || f == 1 {","+ if f == 1 {"," return"," }"," 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{\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc, ok := m.Metrics[metricName]\n\t\tif !ok {\n\t\t\tcontinue // unknown metric, will be reported as missing\n\t\t}\n\t\tb := l.metrics[mc.offset]"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":37147,"cache_read_input_tokens":20212,"output_tokens":1893,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":37147,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzihb5YbwH3qMnjrqqNJ","type":"assistant","uuid":"be27b055-2fff-46c3-991a-df976f7cf6aa","timestamp":"2026-03-13T07:55:19.783Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nimport (\n\t\"encoding/json\"\n\t\"fmt\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// HealthCheckResponse represents the result of a health check operation.\ntype HealthCheckResponse struct {\n\tStatus schema.MonitoringState\n\tError error\n}\n\n// HealthCheckResult holds the monitoring state and raw JSON health metrics\n// for a single node as determined by HealthCheck.\ntype HealthCheckResult struct {\n\tState schema.MonitoringState\n\tHealthMetrics string // JSON: {\"missing\":[...],\"degraded\":[...]}\n}\n\n// MaxMissingDataPoints is the threshold for stale data detection.\n// A buffer is considered healthy if the gap between its last data point\n// and the current time is within MaxMissingDataPoints * frequency.\nconst MaxMissingDataPoints int64 = 5\n\n// bufferExists returns true if the buffer is non-nil and contains data.\nfunc (b *buffer) bufferExists() bool {\n\tif b == nil || b.data == nil || len(b.data) == 0 {\n\t\treturn false\n\t}\n\n\treturn true\n}\n\n// isBufferHealthy returns true if the buffer has recent data within\n// MaxMissingDataPoints * frequency of the current time.\nfunc (b *buffer) isBufferHealthy() bool {\n\tbufferEnd := b.start + b.frequency*int64(len(b.data))\n\tt := time.Now().Unix()\n\n\treturn t-bufferEnd <= MaxMissingDataPoints*b.frequency\n}\n\n// collectMetricStatus walks the subtree rooted at l and classifies each\n// expected metric into the healthy or degraded map.\n//\n// Classification rules (evaluated per buffer, pessimistic):\n// - A single stale buffer marks the metric as degraded permanently.\n// - A healthy buffer only counts if no stale buffer has been seen.\n// - Metrics absent from the global config or without any buffer remain\n// in neither map and are later reported as missing.\nfunc (l *Level) collectMetricStatus(m *MemoryStore, expectedMetrics []string, healthy, degraded map[string]bool) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif degraded[metricName] {\n\t\t\tcontinue // already degraded, cannot improve\n\t\t}\n\t\tmc := m.Metrics[metricName]\n\t\tb := l.metrics[mc.offset]\n\t\tif b.bufferExists() {\n\t\t\tif !b.isBufferHealthy() {\n\t\t\t\tdegraded[metricName] = true\n\t\t\t\tdelete(healthy, metricName)\n\t\t\t} else if !degraded[metricName] {\n\t\t\t\thealthy[metricName] = true\n\t\t\t}\n\t\t}\n\t}\n\n\tfor _, lvl := range l.children {\n\t\tlvl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\t}\n}\n\n// getHealthyMetrics walks the complete subtree rooted at l and classifies\n// each expected metric by comparing the collected status against the\n// expected list.\n//\n// Returns:\n// - missingList: metrics not found in global config or without any buffer\n// - degradedList: metrics with at least one stale buffer in the subtree\nfunc (l *Level) getHealthyMetrics(m *MemoryStore, expectedMetrics []string) ([]string, []string) {\n\thealthy := make(map[string]bool, len(expectedMetrics))\n\tdegraded := make(map[string]bool)\n\n\tl.collectMetricStatus(m, expectedMetrics, healthy, degraded)\n\n\tmissingList := make([]string, 0)\n\tdegradedList := make([]string, 0)\n\n\tfor _, metricName := range expectedMetrics {\n\t\tif healthy[metricName] {\n\t\t\tcontinue\n\t\t}\n\n\t\tif degraded[metricName] {\n\t\t\tdegradedList = append(degradedList, metricName)\n\t\t} else {\n\t\t\tmissingList = append(missingList, metricName)\n\t\t}\n\t}\n\n\treturn degradedList, missingList\n}\n\n// GetHealthyMetrics returns missing and degraded metric lists for a node.\n//\n// It walks the metric tree starting from the node identified by selector\n// and classifies each expected metric:\n// - Missing: no buffer anywhere in the subtree, or metric not in global config\n// - Degraded: at least one stale buffer exists in the subtree\n//\n// Metrics present in expectedMetrics but absent from both returned lists\n// are considered fully healthy.\nfunc (m *MemoryStore) GetHealthyMetrics(selector []string, expectedMetrics []string) ([]string, []string, error) {\n\tlvl := m.root.findLevel(selector)\n\tif lvl == nil {\n\t\treturn nil, nil, fmt.Errorf(\"[METRICSTORE]> GetHealthyMetrics: host not found: %#v\", selector)\n\t}\n\n\tdegradedList, missingList := lvl.getHealthyMetrics(m, expectedMetrics)\n\treturn degradedList, missingList, nil\n}\n\ntype HealthCheckReq struct {\n\tCluster string `json:\"cluster\" example:\"fritz\"`\n\tNodes []string `json:\"nodes\"`\n\tMetricNames []string `json:\"metric-names\"`\n}\n\n// HealthCheck evaluates multiple nodes against a set of expected metrics\n// and returns a monitoring state per node.\n//\n// States:\n// - MonitoringStateFull: all expected metrics are healthy\n// - MonitoringStatePartial: some metrics are missing or degraded\n// - MonitoringStateFailed: node not found, or no healthy metrics at all\nfunc (m *MemoryStore) HealthCheck(cluster string,\n\tnodes []string, expectedMetrics []string,\n) (map[string]HealthCheckResult, error) {\n\tresults := make(map[string]HealthCheckResult, len(nodes))\n\n\tfor _, hostname := range nodes {\n\t\tselector := []string{cluster, hostname}\n\n\t\tdegradedList, missingList, err := m.GetHealthyMetrics(selector, expectedMetrics)\n\t\tif err != nil {\n\t\t\tresults[hostname] = HealthCheckResult{State: schema.MonitoringStateFailed}\n\t\t\tcontinue\n\t\t}\n\n\t\tdegradedCount := len(degradedList)\n\t\tmissingCount := len(missingList)\n\n\t\thealthyCount := len(expectedMetrics) - degradedCount - missingCount\n\n\t\tif degradedCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"degraded metrics:\", degradedList)\n\t\t}\n\t\tif missingCount > 0 {\n\t\t\tcclog.ComponentDebug(\"metricstore\", \"HealthCheck: node \", hostname, \"missing metrics:\", missingList)\n\t\t}\n\n\t\tvar state schema.MonitoringState\n\t\tswitch {\n\t\tcase degradedCount == 0 && missingCount == 0:\n\t\t\tstate = schema.MonitoringStateFull\n\t\tcase healthyCount == 0:\n\t\t\tstate = schema.MonitoringStateFailed\n\t\tdefault:\n\t\t\tstate = schema.MonitoringStatePartial\n\t\t}\n\n\t\thm, _ := json.Marshal(map[string][]string{\n\t\t\t\"missing\": missingList,\n\t\t\t\"degraded\": degradedList,\n\t\t})\n\n\t\tresults[hostname] = HealthCheckResult{\n\t\t\tState: state,\n\t\t\tHealthMetrics: string(hm),\n\t\t}\n\t}\n\n\treturn results, nil\n}\n","structuredPatch":[{"oldStart":66,"oldLines":7,"newStart":66,"newLines":10,"lines":[" if degraded[metricName] {"," continue // already degraded, cannot improve"," }","- mc := m.Metrics[metricName]","+ mc, ok := m.Metrics[metricName]","+ if !ok {","+ continue // unknown metric, will be reported as missing","+ }"," b := l.metrics[mc.offset]"," if b.bufferExists() {"," if !b.isBufferHealthy() {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"be27b055-2fff-46c3-991a-df976f7cf6aa","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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+{"parentUuid":"b371e875-a05f-4707-8bc5-89ddf9fe6c28","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01RtpSP3TgcbjSZohnPZvD3M","type":"message","role":"assistant","content":[{"type":"text","text":"Let me check the current state of level.go to understand the compilation error."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2579,"cache_read_input_tokens":57359,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2579},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzijUzV7d12MoUR431jw","type":"assistant","uuid":"0697f998-e60c-4357-b1c9-bc1c0c56667f","timestamp":"2026-03-13T07:55:28.089Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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+{"parentUuid":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01U4rLP8EQjr8N96X7Ur292s","toolUseID":"toolu_01U4rLP8EQjr8N96X7Ur292s","timestamp":"2026-03-13T07:55:28.505Z","uuid":"6615f19a-51a2-49db-bba8-cde37abf3791","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U4rLP8EQjr8N96X7Ur292s","type":"tool_result","content":" 170→\n 171→// free removes buffers older than the retention threshold from the entire subtree.\n 172→//\n 173→// Recursively frees buffers in this level's metrics and all child levels. Buffers\n 174→// with standard capacity (BufferCap) are returned to the pool. Called by the\n 175→// retention worker to enforce retention policies.\n 176→//\n 177→// Parameters:\n 178→// - t: Retention threshold timestamp (Unix seconds)\n 179→//\n 180→// Returns:\n 181→// - int: Total number of buffers freed in this subtree\n 182→// - error: Non-nil on failure (propagated from children)\n 183→func (l *Level) free(t int64) (int, error) {\n 184→\tl.lock.Lock()\n 185→\tdefer l.lock.Unlock()\n 186→\n 187→\tn := 0\n 188→\tfor i, b := range l.metrics {\n 189→\t\tif b != nil {\n 190→\t\t\tdelme, m := b.free(t)\n 191→\t\t\tn += m\n 192→\t\t\tif delme {\n 193→\t\t\t\tif cap(b.data) != BufferCap {\n 194→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 195→\t\t\t\t}\n 196→\t\t\t\tb.lastUsed = time.Now().Unix()\n 197→\t\t\t\tbufferPool.Put(b)\n 198→\t\t\t\tl.metrics[i] = nil\n 199→\t\t\t}\n 200→\t\t}\n 201→\t}\n 202→\n 203→\tfor key, child := range l.children {\n 204→\t\tm, empty, err := child.freeAndCheckEmpty(t)\n 205→\t\tn += m\n 206→\t\tif err != nil {\n 207→\t\t\treturn n, err\n 208→\t\t}\n 209→\t\tif empty {\n 210→\t\t\tdelete(l.children, key)\n 211→\t\t}\n 212→\t}\n 213→\n 214→\treturn n, nil\n 215→}\n 216→\n 217→// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n 218→// while still holding its own lock, avoiding a TOCTOU race between free() and\n 219→// a separate isEmpty() call.\n 220→func (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n 221→\tl.lock.Lock()\n 222→\tdefer l.lock.Unlock()\n 223→\n 224→\tn := 0\n 225→\tfor i, b := range l.metrics {\n 226→\t\tif b != nil {\n 227→\t\t\tdelme, m := b.free(t)\n 228→\t\t\tn += m\n 229→\t\t\tif delme {\n 230→\t\t\t\tif cap(b.data) != BufferCap {\n 231→\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n 232→\t\t\t\t}\n 233→\t\t\t\tb.lastUsed = time.Now().Unix()\n 234→\t\t\t\tbufferPool.Put(b)\n 235→\t\t\t\tl.metrics[i] = nil\n 236→\t\t\t}\n 237→\t\t}\n 238→\t}\n 239→\n 240→\tfor key, child := range l.children {\n 241→\t\tm, empty, err := child.freeAndCheckEmpty(t)\n 242→\t\tn += m\n 243→\t\tif err != nil {\n 244→\t\t\treturn n, false, err\n 245→\t\t}\n 246→\t\tif empty {\n 247→\t\t\tdelete(l.children, key)\n 248→\t\t}\n 249→\t}\n 250→\n 251→\t// Check emptiness while still holding the lock\n 252→\tempty := len(l.children) == 0\n 253→\tif empty {\n 254→\t\tfor _, b := range l.metrics {\n 255→\t\t\tif b != nil {\n 256→\t\t\t\tempty = false\n 257→\t\t\t\tbreak\n 258→\t\t\t}\n 259→\t\t}\n 260→\t}\n 261→\n 262→\treturn n, empty, nil\n 263→}\n 264→\n 265→// isEmpty returns true if this level has no metrics and no children.\n 266→func (l *Level) isEmpty() bool {\n 267→\tl.lock.RLock()\n 268→\tdefer l.lock.RUnlock()\n 269→\n 270→\tfor _, b := range l.metrics {\n 271→\t\tif b != nil {\n 272→\t\t\treturn false\n 273→\t\t}\n 274→\t}\n 275→\treturn len(l.children) == 0\n 276→}\n 277→\n 278→// forceFree removes the oldest buffer from each metric chain in the subtree.\n 279→//"}]},"uuid":"b1c1eb0e-0770-413c-b094-9dbe341a8111","timestamp":"2026-03-13T07:55:28.505Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","content":"\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//","numLines":110,"startLine":170,"totalLines":459}},"sourceToolAssistantUUID":"3658489b-f4de-4ae8-9988-c9e7bc3bc254","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b1c1eb0e-0770-413c-b094-9dbe341a8111","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_011Hr8cfFEVqFLYzJzRz7nK2","type":"message","role":"assistant","content":[{"type":"text","text":"The code looks correct - `freeAndCheckEmpty` is defined on `*Level`. The diagnostic may be a stale LSP issue. Let me verify it compiles, and also now apply the Improvement 2 (configurable checkpoint interval)."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1528,"cache_read_input_tokens":59938,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1528},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzik8BcuguDjxqznrdZz","type":"assistant","uuid":"3b2f768d-8e09-4a1d-a039-a0d522aa34a5","timestamp":"2026-03-13T07:55:33.550Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides config.go: Configuration structures and metric management.\n//\n// # Configuration Hierarchy\n//\n// The metricstore package uses nested configuration structures:\n//\n//\tMetricStoreConfig (Keys)\n//\t├─ NumWorkers: Parallel checkpoint/archive workers\n//\t├─ RetentionInMemory: How long to keep data in RAM (also used as cleanup interval)\n//\t├─ MemoryCap: Memory limit in bytes (triggers forceFree)\n//\t├─ Checkpoints: Persistence configuration\n//\t│ ├─ FileFormat: \"json\" or \"wal\" (default: \"wal\")\n//\t│ └─ RootDir: Checkpoint storage path\n//\t├─ Cleanup: Long-term storage configuration (interval = RetentionInMemory)\n//\t│ ├─ RootDir: Archive storage path (archive mode only)\n//\t│ └─ Mode: \"delete\" or \"archive\"\n//\t├─ Debug: Development/debugging options\n//\t└─ Subscriptions: NATS topic subscriptions for metric ingestion\n//\n// # Metric Configuration\n//\n// Each metric (e.g., \"cpu_load\", \"mem_used\") has a MetricConfig entry in the global\n// Metrics map, defining:\n//\n// - Frequency: Measurement interval in seconds\n// - Aggregation: How to combine values (sum/avg/none) when transforming scopes\n// - offset: Internal index into Level.metrics slice (assigned during Init)\n//\n// # AggregationStrategy\n//\n// Determines how to combine metric values when aggregating from finer to coarser scopes:\n//\n// - NoAggregation: Do not combine (incompatible scopes)\n// - SumAggregation: Add values (e.g., power consumption: core→socket)\n// - AvgAggregation: Average values (e.g., temperature: core→socket)\npackage metricstore\n\nimport (\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tDefaultMaxWorkers = 10\n\tDefaultBufferCapacity = 512\n\tDefaultGCTriggerInterval = 100\n\tDefaultMemoryUsageTrackerInterval = 5 * time.Minute\n)\n\n// Checkpoints configures periodic persistence of in-memory metric data.\n//\n// Fields:\n// - FileFormat: \"json\" (human-readable, periodic) or \"wal\" (binary snapshot + WAL, crash-safe); default is \"wal\"\n// - RootDir: Filesystem path for checkpoint files (created if missing)\ntype Checkpoints struct {\n\tFileFormat string `json:\"file-format\"`\n\tRootDir string `json:\"directory\"`\n}\n\n// Debug provides development and profiling options.\n//\n// Fields:\n// - DumpToFile: Path to dump checkpoint data for inspection (empty = disabled)\n// - EnableGops: Enable gops agent for live runtime debugging (https://github.com/google/gops)\ntype Debug struct {\n\tDumpToFile string `json:\"dump-to-file\"`\n\tEnableGops bool `json:\"gops\"`\n}\n\n// Cleanup configures long-term storage of old metric data.\n//\n// Data older than RetentionInMemory is archived to disk or deleted.\n// The cleanup interval is always RetentionInMemory.\n//\n// Fields:\n// - RootDir: Filesystem path for archived data (used in \"archive\" mode)\n// - Mode: \"delete\" (discard old data) or \"archive\" (write to RootDir)\ntype Cleanup struct {\n\tRootDir string `json:\"directory\"`\n\tMode string `json:\"mode\"`\n}\n\n// Subscriptions defines NATS topics to subscribe to for metric ingestion.\n//\n// Each subscription receives metrics via NATS messaging, enabling real-time\n// data collection from compute nodes.\n//\n// Fields:\n// - SubscribeTo: NATS subject/channel name (e.g., \"metrics.compute.*\")\n// - ClusterTag: Default cluster name for metrics without cluster tag (optional)\ntype Subscriptions []struct {\n\t// Channel name\n\tSubscribeTo string `json:\"subscribe-to\"`\n\n\t// Allow lines without a cluster tag, use this as default, optional\n\tClusterTag string `json:\"cluster-tag\"`\n}\n\n// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}\n\n// Keys is the global metricstore configuration instance.\n//\n// Initialized with defaults, then overwritten by cc-backend's config.json.\n// Accessed by Init(), Checkpointing(), and other lifecycle functions.\nvar Keys MetricStoreConfig = MetricStoreConfig{\n\tCheckpoints: Checkpoints{\n\t\tFileFormat: \"wal\",\n\t\tRootDir: \"./var/checkpoints\",\n\t},\n\tCleanup: &Cleanup{\n\t\tMode: \"delete\",\n\t},\n}\n\n// AggregationStrategy defines how to combine metric values across hierarchy levels.\n//\n// Used when transforming data from finer-grained scopes (e.g., core) to coarser scopes\n// (e.g., socket). This is SPATIAL aggregation, not TEMPORAL (time-based) aggregation.\n//\n// Values:\n// - NoAggregation: Do not aggregate (incompatible scopes or non-aggregatable metrics)\n// - SumAggregation: Add values (e.g., power: sum core power → socket power)\n// - AvgAggregation: Average values (e.g., temperature: average core temps → socket temp)\ntype AggregationStrategy int\n\nconst (\n\tNoAggregation AggregationStrategy = iota // Do not aggregate\n\tSumAggregation // Sum values (e.g., power, energy)\n\tAvgAggregation // Average values (e.g., temperature, utilization)\n)\n\n// AssignAggregationStrategy parses a string into an AggregationStrategy value.\n//\n// Used when loading metric configurations from JSON/YAML files.\n//\n// Parameters:\n// - str: \"sum\", \"avg\", or \"\" (empty string for NoAggregation)\n//\n// Returns:\n// - AggregationStrategy: Parsed value\n// - error: Non-nil if str is unrecognized\nfunc AssignAggregationStrategy(str string) (AggregationStrategy, error) {\n\tswitch str {\n\tcase \"\":\n\t\treturn NoAggregation, nil\n\tcase \"sum\":\n\t\treturn SumAggregation, nil\n\tcase \"avg\":\n\t\treturn AvgAggregation, nil\n\tdefault:\n\t\treturn NoAggregation, fmt.Errorf(\"[METRICSTORE]> unknown aggregation strategy: %s\", str)\n\t}\n}\n\n// MetricConfig defines configuration for a single metric type.\n//\n// Stored in the global Metrics map, keyed by metric name (e.g., \"cpu_load\").\n//\n// Fields:\n// - Frequency: Measurement interval in seconds (e.g., 60 for 1-minute granularity)\n// - Aggregation: How to combine values across hierarchy levels (sum/avg/none)\n// - offset: Internal index into Level.metrics slice (assigned during Init)\ntype MetricConfig struct {\n\t// Interval in seconds at which measurements are stored\n\tFrequency int64\n\n\t// Can be 'sum', 'avg' or null. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file implements checkpoint persistence for the in-memory metric store.\n//\n// Checkpoints enable graceful restarts by periodically saving in-memory metric\n// data to disk in JSON or binary format. The checkpoint system:\n//\n// Key Features:\n// - Periodic background checkpointing via the Checkpointing() worker\n// - Two format families: JSON (human-readable) and WAL+binary (compact, crash-safe)\n// - Parallel checkpoint creation and loading using worker pools\n// - Hierarchical file organization: checkpoint_dir/cluster/host/timestamp.{json|bin}\n// - WAL file: checkpoint_dir/cluster/host/current.wal (append-only, per-entry)\n// - Only saves unarchived data (archived data is already persisted elsewhere)\n// - GC optimization during loading to prevent excessive heap growth\n//\n// Checkpoint Workflow:\n// 1. Init() loads checkpoints within retention window at startup\n// 2. Checkpointing() worker periodically saves new data\n// 3. Shutdown() writes final checkpoint before exit\n//\n// File Organization:\n//\n//\tcheckpoints/\n//\t cluster1/\n//\t host001/\n//\t 1234567890.json (JSON format: full subtree snapshot)\n//\t 1234567890.bin (binary format: full subtree snapshot)\n//\t current.wal (WAL format: append-only per-entry log)\n//\t host002/\n//\t ...\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"io/fs\"\n\t\"os\"\n\t\"path\"\n\t\"path/filepath\"\n\t\"sort\"\n\t\"strconv\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\t\"time\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst (\n\tCheckpointFilePerms = 0o644 // File permissions for checkpoint files\n\tCheckpointDirPerms = 0o755 // Directory permissions for checkpoint directories\n\tGCTriggerInterval = DefaultGCTriggerInterval // Interval for triggering GC during checkpoint loading\n)\n\n// CheckpointMetrics represents metric data in a checkpoint file.\n// Whenever the structure changes, update MarshalJSON as well!\ntype CheckpointMetrics struct {\n\tData []schema.Float `json:\"data\"`\n\tFrequency int64 `json:\"frequency\"`\n\tStart int64 `json:\"start\"`\n}\n\n// CheckpointFile represents the hierarchical structure of a checkpoint file.\n// It mirrors the Level tree structure from the MemoryStore.\ntype CheckpointFile struct {\n\tMetrics map[string]*CheckpointMetrics `json:\"metrics\"`\n\tChildren map[string]*CheckpointFile `json:\"children\"`\n\tFrom int64 `json:\"from\"`\n\tTo int64 `json:\"to\"`\n}\n\n// lastCheckpoint tracks the timestamp of the last checkpoint creation.\nvar (\n\tlastCheckpoint time.Time\n\tlastCheckpointMu sync.Mutex\n)\n\n// Checkpointing starts a background worker that periodically saves metric data to disk.\n//\n// Checkpoints are written every 12 hours (hardcoded).\n//\n// Format behaviour:\n// - \"json\": Periodic checkpointing every checkpointInterval\n// - \"wal\": Periodic binary snapshots + WAL rotation every checkpointInterval\nfunc Checkpointing(wg *sync.WaitGroup, ctx context.Context) {\n\tlastCheckpointMu.Lock()\n\tlastCheckpoint = time.Now()\n\tlastCheckpointMu.Unlock()\n\n\tms := GetMemoryStore()\n\n\twg.Go(func() {\n\n\t\tconst checkpointInterval = 12 * time.Hour\n\t\td := checkpointInterval\n\n\t\tticker := time.NewTicker(d)\n\t\tdefer ticker.Stop()\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\treturn\n\t\t\tcase <-ticker.C:\n\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\tfrom := lastCheckpoint\n\t\t\t\tlastCheckpointMu.Unlock()\n\n\t\t\t\tnow := time.Now()\n\t\t\t\tcclog.Infof(\"[METRICSTORE]> start checkpointing (starting at %s)...\", from.Format(time.RFC3339))\n\n\t\t\t\tif Keys.Checkpoints.FileFormat == \"wal\" {\n\t\t\t\t\tn, hostDirs, err := ms.ToCheckpointWAL(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> binary checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d binary snapshot files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t\t// Rotate WAL files for successfully checkpointed hosts.\n\t\t\t\t\t\tRotateWALFiles(hostDirs)\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tn, err := ms.ToCheckpoint(Keys.Checkpoints.RootDir, from.Unix(), now.Unix())\n\t\t\t\t\tif err != nil {\n\t\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> checkpointing failed: %s\", err.Error())\n\t\t\t\t\t} else {\n\t\t\t\t\t\tcclog.Infof(\"[METRICSTORE]> done: %d checkpoint files created\", n)\n\t\t\t\t\t\tlastCheckpointMu.Lock()\n\t\t\t\t\t\tlastCheckpoint = now\n\t\t\t\t\t\tlastCheckpointMu.Unlock()\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t})\n}\n\n// MarshalJSON provides optimized JSON encoding for CheckpointMetrics.\n//\n// Since schema.Float has custom MarshalJSON, serializing []Float has significant overhead.\n// This method manually constructs JSON to avoid allocations and interface conversions.\nfunc (cm *CheckpointMetrics) MarshalJSON() ([]byte, error) {\n\tbuf := make([]byte, 0, 128+len(cm.Data)*8)\n\tbuf = append(buf, `{\"frequency\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Frequency, 10)\n\tbuf = append(buf, `,\"start\":`...)\n\tbuf = strconv.AppendInt(buf, cm.Start, 10)\n\tbuf = append(buf, `,\"data\":[`...)\n\tfor i, x := range cm.Data {\n\t\tif i != 0 {\n\t\t\tbuf = append(buf, ',')\n\t\t}\n\t\tif x.IsNaN() {\n\t\t\tbuf = append(buf, `null`...)\n\t\t} else {\n\t\t\tbuf = strconv.AppendFloat(buf, float64(x), 'f', 1, 32)\n\t\t}\n\t}\n\tbuf = append(buf, `]}`...)\n\treturn buf, nil\n}\n\n// ToCheckpoint writes metric data to checkpoint files in parallel (JSON format).\n//\n// Metrics at root and cluster levels are skipped. One file per host is created.\n// Uses worker pool (Keys.NumWorkers) for parallel processing. Only locks one host\n// at a time, allowing concurrent writes/reads to other hosts.\n//\n// Returns the number of checkpoint files created and any errors encountered.\nfunc (m *MemoryStore) ToCheckpoint(dir string, from, to int64) (int, error) {\n\t// Pre-calculate capacity by counting cluster/host pairs\n\tm.root.lock.RLock()\n\ttotalHosts := 0\n\tfor _, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\ttotalHosts += len(l1.children)\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\tlevels := make([]*Level, 0, totalHosts)\n\tselectors := make([][]string, 0, totalHosts)\n\n\tm.root.lock.RLock()\n\tfor sel1, l1 := range m.root.children {\n\t\tl1.lock.RLock()\n\t\tfor sel2, l2 := range l1.children {\n\t\t\tlevels = append(levels, l2)\n\t\t\tselectors = append(selectors, []string{sel1, sel2})\n\t\t}\n\t\tl1.lock.RUnlock()\n\t}\n\tm.root.lock.RUnlock()\n\n\ttype workItem struct {\n\t\tlevel *Level\n\t\tdir string\n\t\tselector []string\n\t}\n\n\tn, errs := int32(0), int32(0)\n\n\tvar wg sync.WaitGroup\n\twg.Add(Keys.NumWorkers)\n\twork := make(chan workItem, Keys.NumWorkers*2)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\n\t\t\tfor workItem := range work {\n\t\t\t\tif err := workItem.level.toCheckpoint(workItem.dir, from, to, m); err != nil {\n\t\t\t\t\tif err == ErrNoNewArchiveData {\n\t\t\t\t\t\tcontinue\n\t\t\t\t\t}\n\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while checkpointing %#v: %s\", workItem.selector, err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t} else {\n\t\t\t\t\tatomic.AddInt32(&n, 1)\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\t}\n\n\tfor i := 0; i < len(levels); i++ {\n\t\tdir := path.Join(dir, path.Join(selectors[i]...))\n\t\twork <- workItem{\n\t\t\tlevel: levels[i],\n\t\t\tdir: dir,\n\t\t\tselector: selectors[i],\n\t\t}\n\t}\n\n\tclose(work)\n\twg.Wait()\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// toCheckpointFile recursively converts a Level tree to CheckpointFile structure.\n// Skips metrics that are already archived. Returns nil if no unarchived data exists.\nfunc (l *Level) toCheckpointFile(from, to int64, m *MemoryStore) (*CheckpointFile, error) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tretval := &CheckpointFile{\n\t\tFrom: from,\n\t\tTo: to,\n\t\tMetrics: make(map[string]*CheckpointMetrics),\n\t\tChildren: make(map[string]*CheckpointFile),\n\t}\n\n\tfor metric, minfo := range m.Metrics {\n\t\tb := l.metrics[minfo.offset]\n\t\tif b == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\tallArchived := true\n\t\tb.iterFromTo(from, to, func(b *buffer) error {\n\t\t\tif !b.archived {\n\t\t\t\tallArchived = false\n\t\t\t\treturn fmt.Errorf(\"stop\") // Early termination signal\n\t\t\t}\n\t\t\treturn nil\n\t\t})\n\n\t\tif allArchived {\n\t\t\tcontinue\n\t\t}\n\n\t\tdata := make([]schema.Float, (to-from)/b.frequency+1)\n\t\tdata, start, end, err := b.read(from, to, data)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor i := int((end - start) / b.frequency); i < len(data); i++ {\n\t\t\tdata[i] = schema.NaN\n\t\t}\n\n\t\tretval.Metrics[metric] = &CheckpointMetrics{\n\t\t\tFrequency: b.frequency,\n\t\t\tStart: start,\n\t\t\tData: data,\n\t\t}\n\t}\n\n\tfor name, child := range l.children {\n\t\tval, err := child.toCheckpointFile(from, to, m)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif val != nil {\n\t\t\tretval.Children[name] = val\n\t\t}\n\t}\n\n\tif len(retval.Children) == 0 && len(retval.Metrics) == 0 {\n\t\treturn nil, nil\n\t}\n\n\treturn retval, nil\n}\n\n// toCheckpoint writes a Level's data to a JSON checkpoint file.\n// Creates directory if needed. Returns ErrNoNewArchiveData if nothing to save.\nfunc (l *Level) toCheckpoint(dir string, from, to int64, m *MemoryStore) error {\n\tcf, err := l.toCheckpointFile(from, to, m)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif cf == nil {\n\t\treturn ErrNoNewArchiveData\n\t}\n\n\tfilepath := path.Join(dir, fmt.Sprintf(\"%d.json\", from))\n\tf, err := os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\tif err != nil && os.IsNotExist(err) {\n\t\terr = os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err == nil {\n\t\t\tf, err = os.OpenFile(filepath, os.O_CREATE|os.O_WRONLY|os.O_TRUNC, CheckpointFilePerms)\n\t\t}\n\t}\n\tif err != nil {\n\t\treturn err\n\t}\n\tdefer f.Close()\n\n\tbw := bufio.NewWriter(f)\n\tif err = json.NewEncoder(bw).Encode(cf); err != nil {\n\t\treturn err\n\t}\n\n\treturn bw.Flush()\n}\n\n// enqueueCheckpointHosts traverses checkpoint directory and enqueues cluster/host pairs.\n// Returns error if directory structure is invalid.\nfunc enqueueCheckpointHosts(dir string, work chan<- [2]string) error {\n\tclustersDir, err := os.ReadDir(dir)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tfor _, clusterDir := range clustersDir {\n\t\tif !clusterDir.IsDir() {\n\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at first level of checkpoints/ directory\")\n\t\t}\n\n\t\thostsDir, err := os.ReadDir(filepath.Join(dir, clusterDir.Name()))\n\t\tif err != nil {\n\t\t\treturn err\n\t\t}\n\n\t\tfor _, hostDir := range hostsDir {\n\t\t\tif !hostDir.IsDir() {\n\t\t\t\treturn errors.New(\"[METRICSTORE]> expected only directories at second level of checkpoints/ directory\")\n\t\t\t}\n\n\t\t\twork <- [2]string{clusterDir.Name(), hostDir.Name()}\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// FromCheckpoint loads checkpoint files from disk into memory in parallel.\n//\n// Uses worker pool to load cluster/host combinations. Returns number of files\n// loaded and any errors.\nfunc (m *MemoryStore) FromCheckpoint(dir string, from int64) (int, error) {\n\tvar wg sync.WaitGroup\n\twork := make(chan [2]string, Keys.NumWorkers*4)\n\tn, errs := int32(0), int32(0)\n\n\twg.Add(Keys.NumWorkers)\n\tfor worker := 0; worker < Keys.NumWorkers; worker++ {\n\t\tgo func() {\n\t\t\tdefer wg.Done()\n\t\t\tfor host := range work {\n\t\t\t\tlvl := m.root.findLevelOrCreate(host[:], len(m.Metrics))\n\t\t\t\tnn, err := lvl.fromCheckpoint(m, filepath.Join(dir, host[0], host[1]), from)\n\t\t\t\tif err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> error while loading checkpoints for %s/%s: %s\", host[0], host[1], err.Error())\n\t\t\t\t\tatomic.AddInt32(&errs, 1)\n\t\t\t\t}\n\t\t\t\tatomic.AddInt32(&n, int32(nn))\n\t\t\t}\n\t\t}()\n\t}\n\n\terr := enqueueCheckpointHosts(dir, work)\n\tclose(work)\n\twg.Wait()\n\n\tif err != nil {\n\t\treturn int(n), err\n\t}\n\n\tif errs > 0 {\n\t\treturn int(n), fmt.Errorf(\"[METRICSTORE]> %d errors happened while creating checkpoints (%d successes)\", errs, n)\n\t}\n\treturn int(n), nil\n}\n\n// FromCheckpointFiles is the main entry point for loading checkpoints at startup.\n//\n// Creates checkpoint directory if it doesn't exist. This function must be called\n// before any writes or reads, and can only be called once.\nfunc (m *MemoryStore) FromCheckpointFiles(dir string, from int64) (int, error) {\n\tif _, err := os.Stat(dir); os.IsNotExist(err) {\n\t\terr := os.MkdirAll(dir, CheckpointDirPerms)\n\t\tif err != nil {\n\t\t\tcclog.Fatalf(\"[METRICSTORE]> Error creating directory: %#v\\n\", err)\n\t\t}\n\t\tcclog.Debugf(\"[METRICSTORE]> %#v Directory created successfully\", dir)\n\t}\n\n\treturn m.FromCheckpoint(dir, from)\n}\n\nfunc (l *Level) loadJSONFile(m *MemoryStore, f *os.File, from int64) error {\n\tbr := bufio.NewReader(f)\n\tcf := &CheckpointFile{}\n\tif err := json.NewDecoder(br).Decode(cf); err != nil {\n\t\treturn err\n\t}\n\n\tif cf.To != 0 && cf.To < from {\n\t\treturn nil\n\t}\n\n\tif err := l.loadFile(cf, m); err != nil {\n\t\treturn err\n\t}\n\n\treturn nil\n}\n\nfunc (l *Level) loadFile(cf *CheckpointFile, m *MemoryStore) error {\n\tfor name, metric := range cf.Metrics {\n\t\tn := len(metric.Data)\n\t\tb := &buffer{\n\t\t\tfrequency: metric.Frequency,\n\t\t\tstart: metric.Start,\n\t\t\tdata: metric.Data[0:n:n],\n\t\t\tprev: nil,\n\t\t\tnext: nil,\n\t\t\tarchived: true,\n\t\t}\n\n\t\tminfo, ok := m.Metrics[name]\n\t\tif !ok {\n\t\t\tcontinue\n\t\t}\n\n\t\tprev := l.metrics[minfo.offset]\n\t\tif prev == nil {\n\t\t\tl.metrics[minfo.offset] = b\n\t\t} else {\n\t\t\tif prev.start > b.start {\n\t\t\t\treturn fmt.Errorf(\"[METRICSTORE]> buffer start time %d is before previous buffer start %d\", b.start, prev.start)\n\t\t\t}\n\n\t\t\tb.prev = prev\n\t\t\tprev.next = b\n\t\t}\n\t\tl.metrics[minfo.offset] = b\n\t}\n\n\tif len(cf.Children) > 0 && l.children == nil {\n\t\tl.children = make(map[string]*Level)\n\t}\n\n\tfor sel, childCf := range cf.Children {\n\t\tchild, ok := l.children[sel]\n\t\tif !ok {\n\t\t\tchild = &Level{\n\t\t\t\tmetrics: make([]*buffer, len(m.Metrics)),\n\t\t\t\tchildren: nil,\n\t\t\t}\n\t\t\tl.children[sel] = child\n\t\t}\n\n\t\tif err := child.loadFile(childCf, m); err != nil {\n\t\t\treturn err\n\t\t}\n\t}\n\n\treturn nil\n}\n\n// fromCheckpoint loads all checkpoint files (JSON, binary snapshot, WAL) for a\n// single host directory. Snapshot files are loaded first (sorted by timestamp),\n// then current.wal is replayed on top.\nfunc (l *Level) fromCheckpoint(m *MemoryStore, dir string, from int64) (int, error) {\n\tdirentries, err := os.ReadDir(dir)\n\tif err != nil {\n\t\tif os.IsNotExist(err) {\n\t\t\treturn 0, nil\n\t\t}\n\t\treturn 0, err\n\t}\n\n\tallFiles := make([]fs.DirEntry, 0)\n\tvar walEntry fs.DirEntry\n\tfilesLoaded := 0\n\n\tfor _, e := range direntries {\n\t\tif e.IsDir() {\n\t\t\t// Legacy: skip subdirectories (only used by old Avro format).\n\t\t\t// These are ignored; their data is not loaded.\n\t\t\tcclog.Debugf(\"[METRICSTORE]> skipping subdirectory %s in checkpoint dir %s\", e.Name(), dir)\n\t\t\tcontinue\n\t\t}\n\n\t\tname := e.Name()\n\t\tif strings.HasSuffix(name, \".json\") || strings.HasSuffix(name, \".bin\") {\n\t\t\tallFiles = append(allFiles, e)\n\t\t} else if name == \"current.wal\" {\n\t\t\twalEntry = e\n\t\t}\n\t\t// Silently ignore other files (e.g., .tmp, .bin.tmp from interrupted writes).\n\t}\n\n\tfiles, err := findFiles(allFiles, from, true)\n\tif err != nil {\n\t\treturn filesLoaded, err\n\t}\n\n\tloaders := map[string]func(*MemoryStore, *os.File, int64) error{\n\t\t\".json\": l.loadJSONFile,\n\t\t\".bin\": l.loadBinaryFile,\n\t}\n\n\tfor _, filename := range files {\n\t\text := filepath.Ext(filename)\n\t\tloader := loaders[ext]\n\t\tif loader == nil {\n\t\t\tcclog.Warnf(\"[METRICSTORE]> unknown extension for checkpoint file %s\", filename)\n\t\t\tcontinue\n\t\t}\n\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, filename))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn loader(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\treturn filesLoaded, err\n\t\t}\n\t\tfilesLoaded++\n\t}\n\n\t// Replay WAL after all snapshot files so it fills in data since the last snapshot.\n\tif walEntry != nil {\n\t\terr := func() error {\n\t\t\tf, err := os.Open(path.Join(dir, walEntry.Name()))\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t\tdefer f.Close()\n\t\t\treturn l.loadWALFile(m, f, from)\n\t\t}()\n\t\tif err != nil {\n\t\t\t// WAL errors are non-fatal: the snapshot already loaded the bulk of data.\n\t\t\tcclog.Warnf(\"[METRICSTORE]> WAL replay error for %s: %v (data since last snapshot may be missing)\", dir, err)\n\t\t} else {\n\t\t\tfilesLoaded++\n\t\t}\n\t}\n\n\treturn filesLoaded, nil\n}\n\n// parseTimestampFromFilename extracts a Unix timestamp from a checkpoint filename.\n// Supports \".json\" (format: \".json\") and \".bin\" (format: \".bin\").\nfunc parseTimestampFromFilename(name string) (int64, error) {\n\tswitch {\n\tcase strings.HasSuffix(name, \".json\"):\n\t\treturn strconv.ParseInt(name[:len(name)-5], 10, 64)\n\tcase strings.HasSuffix(name, \".bin\"):\n\t\treturn strconv.ParseInt(name[:len(name)-4], 10, 64)\n\tdefault:\n\t\treturn 0, fmt.Errorf(\"unknown checkpoint extension for file %q\", name)\n\t}\n}\n\n// findFiles returns filenames from direntries whose timestamps satisfy the filter.\n// If findMoreRecentFiles is true, returns files with timestamps >= t (plus the\n// last file before t if t falls between two files).\nfunc findFiles(direntries []fs.DirEntry, t int64, findMoreRecentFiles bool) ([]string, error) {\n\tnums := map[string]int64{}\n\tfor _, e := range direntries {\n\t\tname := e.Name()\n\t\tif !strings.HasSuffix(name, \".json\") && !strings.HasSuffix(name, \".bin\") {\n\t\t\tcontinue\n\t\t}\n\n\t\tts, err := parseTimestampFromFilename(name)\n\t\tif err != nil {\n\t\t\treturn nil, err\n\t\t}\n\t\tnums[name] = ts\n\t}\n\n\tsort.Slice(direntries, func(i, j int) bool {\n\t\ta, b := direntries[i], direntries[j]\n\t\treturn nums[a.Name()] < nums[b.Name()]\n\t})\n\n\tif len(nums) == 0 {\n\t\treturn nil, nil\n\t}\n\n\tfilenames := make([]string, 0)\n\n\tfor i, e := range direntries {\n\t\tts1 := nums[e.Name()]\n\n\t\tif findMoreRecentFiles && t <= ts1 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t} else if !findMoreRecentFiles && ts1 <= t && ts1 != 0 {\n\t\t\tfilenames = append(filenames, e.Name())\n\t\t}\n\n\t\tif i == len(direntries)-1 {\n\t\t\tcontinue\n\t\t}\n\n\t\tenext := direntries[i+1]\n\t\tts2 := nums[enext.Name()]\n\n\t\tif findMoreRecentFiles {\n\t\t\tif ts1 < t && t < ts2 {\n\t\t\t\tfilenames = append(filenames, e.Name())\n\t\t\t}\n\t\t}\n\t}\n\n\treturn filenames, nil\n}\n","structuredPatch":[{"oldStart":100,"oldLines":8,"newStart":100,"newLines":15,"lines":[" "," wg.Go(func() {"," ","- const checkpointInterval = 12 * time.Hour","- d := checkpointInterval","+ d := 12 * time.Hour // default checkpoint interval","+ if Keys.CheckpointInterval != \"\" {","+ parsed, err := time.ParseDuration(Keys.CheckpointInterval)","+ if err != nil {","+ cclog.Errorf(\"[METRICSTORE]> invalid checkpoint-interval %q: %s, using default 12h\", Keys.CheckpointInterval, err)","+ } else {","+ d = parsed","+ }","+ }"," "," ticker := time.NewTicker(d)"," defer ticker.Stop()"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1c61dfed-f5f2-4776-b583-2068f16c495a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"741a2696-4b58-472c-8389-dab628df598b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017wUiL7CLXZusPqkuYLQu1V","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me also update the `free()` method to simply delegate to `freeAndCheckEmpty` to avoid code duplication, since `free()` is the public-facing method used by `MemoryStore.Free()`."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":925,"cache_read_input_tokens":61466,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":925},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzim8GrQsLjTLEqNFs7g","type":"assistant","uuid":"8f90310e-f916-4c66-aa8e-43de1a63d0b0","timestamp":"2026-03-13T07:55:45.328Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8f90310e-f916-4c66-aa8e-43de1a63d0b0","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017wUiL7CLXZusPqkuYLQu1V","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012kT1AeDtdmjyZDJa92ZCDw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","new_string":"func (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":925,"cache_read_input_tokens":61466,"output_tokens":473,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":925,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzim8GrQsLjTLEqNFs7g","type":"assistant","uuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","timestamp":"2026-03-13T07:55:49.776Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_012kT1AeDtdmjyZDJa92ZCDw","toolUseID":"toolu_012kT1AeDtdmjyZDJa92ZCDw","timestamp":"2026-03-13T07:55:49.802Z","uuid":"51dc056d-acd3-4860-ba48-70e03544db56","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012kT1AeDtdmjyZDJa92ZCDw","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"21eaa94b-a7b6-498a-ae85-94355add72c2","timestamp":"2026-03-13T07:55:49.802Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"func (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}","newString":"func (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":181,"oldLines":37,"newStart":181,"newLines":8,"lines":[" // - int: Total number of buffers freed in this subtree"," // - error: Non-nil on failure (propagated from children)"," func (l *Level) free(t int64) (int, error) {","- l.lock.Lock()","- defer l.lock.Unlock()","-","- n := 0","- for i, b := range l.metrics {","- if b != nil {","- delme, m := b.free(t)","- n += m","- if delme {","- if cap(b.data) != BufferCap {","- b.data = make([]schema.Float, 0, BufferCap)","- }","- b.lastUsed = time.Now().Unix()","- bufferPool.Put(b)","- l.metrics[i] = nil","- }","- }","- }","-","- for key, child := range l.children {","- m, empty, err := child.freeAndCheckEmpty(t)","- n += m","- if err != nil {","- return n, err","- }","- if empty {","- delete(l.children, key)","- }","- }","-","- return n, nil","+ n, _, err := l.freeAndCheckEmpty(t)","+ return n, err"," }"," "," // freeAndCheckEmpty performs free() and atomically checks if the level is empty"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"1fed4046-cf26-4a0c-afe8-d221b0e728f4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"21eaa94b-a7b6-498a-ae85-94355add72c2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017yPuAEyWhtdfoe8gUqazu6","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify it compiles and run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":62391,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":518},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzimhDFRhHuqj7FWgtNz","type":"assistant","uuid":"c04a2f36-2afe-40f1-b65d-aa571fc16758","timestamp":"2026-03-13T07:55:51.621Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c04a2f36-2afe-40f1-b65d-aa571fc16758","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017yPuAEyWhtdfoe8gUqazu6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RzjbUfQ8knWYnp391TdNGK","name":"Bash","input":{"command":"go build ./pkg/metricstore/...","description":"Build metricstore package"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":62391,"output_tokens":113,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":518,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzimhDFRhHuqj7FWgtNz","type":"assistant","uuid":"7c7300f2-681f-4737-85aa-09b518529898","timestamp":"2026-03-13T07:55:52.360Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"7c7300f2-681f-4737-85aa-09b518529898","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RzjbUfQ8knWYnp391TdNGK","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"f5aff8cf-c324-4763-9fe0-87db978dcb68","timestamp":"2026-03-13T07:55:52.996Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"7c7300f2-681f-4737-85aa-09b518529898","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"f5aff8cf-c324-4763-9fe0-87db978dcb68","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01K3PnRZBfQQXpY2CpvhJKM3","type":"message","role":"assistant","content":[{"type":"text","text":"Compiles cleanly. The `isEmpty()` warning is expected — it's now unused since `freeAndCheckEmpty` handles it inline. Let me check if `isEmpty` is used anywhere else before removing it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":177,"cache_read_input_tokens":62909,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":177},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzimvtGkBSvrRz8gN7oP","type":"assistant","uuid":"384e1c8b-8588-4b5a-addf-609f6158408e","timestamp":"2026-03-13T07:55:56.278Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"384e1c8b-8588-4b5a-addf-609f6158408e","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01K3PnRZBfQQXpY2CpvhJKM3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MfhwKVXcJVpTXsnYexGc84","name":"Grep","input":{"pattern":"isEmpty","path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":177,"cache_read_input_tokens":62909,"output_tokens":138,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":177,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzimvtGkBSvrRz8gN7oP","type":"assistant","uuid":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","timestamp":"2026-03-13T07:55:56.663Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01MfhwKVXcJVpTXsnYexGc84","toolUseID":"toolu_01MfhwKVXcJVpTXsnYexGc84","timestamp":"2026-03-13T07:55:56.695Z","uuid":"25d387b0-8162-4b4a-aa38-2848b35986f1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MfhwKVXcJVpTXsnYexGc84","type":"tool_result","content":"Found 1 file\npkg/metricstore/level.go"}]},"uuid":"349b2ec8-11fa-4d9a-9004-c30e054e1c04","timestamp":"2026-03-13T07:55:56.695Z","toolUseResult":{"mode":"files_with_matches","filenames":["pkg/metricstore/level.go"],"numFiles":1},"sourceToolAssistantUUID":"5cdf7cbe-7f31-4d20-b3b5-4eca6d23552b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"349b2ec8-11fa-4d9a-9004-c30e054e1c04","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CksCSJNw7BUGbzEtRu3J2c","type":"message","role":"assistant","content":[{"type":"text","text":"Only used in its own definition. Let me remove it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":275,"cache_read_input_tokens":63086,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":275},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinCj2LW7YCASf9NDuZ","type":"assistant","uuid":"0345c285-8db5-4ac1-a3ef-6996e5544ef5","timestamp":"2026-03-13T07:55:59.456Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0345c285-8db5-4ac1-a3ef-6996e5544ef5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CksCSJNw7BUGbzEtRu3J2c","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017oELaQyXAtCQYm6dB1o3H7","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","old_string":"// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree","new_string":"// forceFree"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":275,"cache_read_input_tokens":63086,"output_tokens":244,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":275,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzinCj2LW7YCASf9NDuZ","type":"assistant","uuid":"a0fb350d-a11f-4aab-90af-c2b91894a995","timestamp":"2026-03-13T07:56:01.114Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a0fb350d-a11f-4aab-90af-c2b91894a995","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_017oELaQyXAtCQYm6dB1o3H7","toolUseID":"toolu_017oELaQyXAtCQYm6dB1o3H7","timestamp":"2026-03-13T07:56:01.159Z","uuid":"91a9b4da-b654-4854-9d6f-f9f965dae115","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a0fb350d-a11f-4aab-90af-c2b91894a995","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017oELaQyXAtCQYm6dB1o3H7","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go has been updated successfully."}]},"uuid":"8a4abf7e-1e9e-4af3-b763-6f5417bcc21b","timestamp":"2026-03-13T07:56:01.159Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/level.go","oldString":"// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree","newString":"// forceFree","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides level.go: Hierarchical tree structure for metric storage.\n//\n// # Level Architecture\n//\n// The Level type forms a tree structure where each node represents a level in the\n// ClusterCockpit hierarchy: cluster → host → socket → core → hwthread, with special\n// nodes for memory domains and accelerators.\n//\n// Structure:\n//\n//\tRoot Level (cluster=\"emmy\")\n//\t├─ Level (host=\"node001\")\n//\t│ ├─ Level (socket=\"0\")\n//\t│ │ ├─ Level (core=\"0\") [stores cpu0 metrics]\n//\t│ │ └─ Level (core=\"1\") [stores cpu1 metrics]\n//\t│ └─ Level (socket=\"1\")\n//\t│ └─ ...\n//\t└─ Level (host=\"node002\")\n//\t └─ ...\n//\n// Each Level can:\n// - Hold data (metrics slice of buffer pointers)\n// - Have child nodes (children map[string]*Level)\n// - Both simultaneously (inner nodes can store aggregated metrics)\n//\n// # Selector Paths\n//\n// Selectors are hierarchical paths: []string{\"cluster\", \"host\", \"component\"}.\n// Example: []string{\"emmy\", \"node001\", \"cpu0\"} navigates to the cpu0 core level.\n//\n// # Concurrency\n//\n// RWMutex protects children map and metrics slice. Read-heavy workload (metric reads)\n// uses RLock. Writes (new levels, buffer updates) use Lock. Double-checked locking\n// prevents races during level creation.\npackage metricstore\n\nimport (\n\t\"sync\"\n\t\"time\"\n\t\"unsafe\"\n\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/util\"\n)\n\n// Level represents a node in the hierarchical metric storage tree.\n//\n// Can be both a leaf or inner node. Inner nodes hold data in 'metrics' for aggregated\n// values (e.g., socket-level metrics derived from core-level data). Named \"Level\"\n// instead of \"node\" to avoid confusion with cluster nodes (hosts).\n//\n// Fields:\n// - children: Map of child level names to Level pointers (e.g., \"cpu0\" → Level)\n// - metrics: Slice of buffer pointers (one per metric, indexed by MetricConfig.offset)\n// - lock: RWMutex for concurrent access (read-heavy, write-rare)\ntype Level struct {\n\tchildren map[string]*Level\n\tmetrics []*buffer\n\tlock sync.RWMutex\n}\n\n// findLevelOrCreate navigates to or creates the level specified by selector.\n//\n// Recursively descends the tree, creating missing levels as needed. Uses double-checked\n// locking: RLock first (fast path), then Lock if creation needed (slow path), then\n// re-check after acquiring Lock to handle races.\n//\n// Example selector: []string{\"emmy\", \"node001\", \"cpu0\"}\n// Navigates: root → emmy → node001 → cpu0, creating levels as needed.\n//\n// Parameters:\n// - selector: Hierarchical path (consumed recursively, decreasing depth)\n// - nMetrics: Number of metric slots to allocate in new levels\n//\n// Returns:\n// - *Level: The target level (existing or newly created)\n//\n// Note: sync.Map may improve performance for high-concurrency writes, but current\n// approach suffices for read-heavy workload.\nfunc (l *Level) findLevelOrCreate(selector []string, nMetrics int) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\t// Allow concurrent reads:\n\tl.lock.RLock()\n\tvar child *Level\n\tvar ok bool\n\tif l.children == nil {\n\t\t// Children map needs to be created...\n\t\tl.lock.RUnlock()\n\t} else {\n\t\tchild, ok = l.children[selector[0]]\n\t\tl.lock.RUnlock()\n\t\tif ok {\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\t// The level does not exist, take write lock for unique access:\n\tl.lock.Lock()\n\t// While this thread waited for the write lock, another thread\n\t// could have created the child node.\n\tif l.children != nil {\n\t\tchild, ok = l.children[selector[0]]\n\t\tif ok {\n\t\t\tl.lock.Unlock()\n\t\t\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n\t\t}\n\t}\n\n\tchild = &Level{\n\t\tmetrics: make([]*buffer, nMetrics),\n\t\tchildren: nil,\n\t}\n\n\tif l.children != nil {\n\t\tl.children[selector[0]] = child\n\t} else {\n\t\tl.children = map[string]*Level{selector[0]: child}\n\t}\n\tl.lock.Unlock()\n\treturn child.findLevelOrCreate(selector[1:], nMetrics)\n}\n\n// collectPaths gathers all selector paths at the specified depth in the tree.\n//\n// Recursively traverses children, collecting paths when currentDepth+1 == targetDepth.\n// Each path is a selector that can be used with findLevel() or findBuffers().\n//\n// Explicitly copies slices to avoid shared underlying arrays between siblings, preventing\n// unintended mutations.\n//\n// Parameters:\n// - currentDepth: Depth of current level (0 = root)\n// - targetDepth: Depth to collect paths from\n// - currentPath: Path accumulated so far\n// - results: Output slice (appended to)\n//\n// Example: collectPaths(0, 2, []string{}, &results) collects all 2-level paths\n// like []string{\"emmy\", \"node001\"}, []string{\"emmy\", \"node002\"}, etc.\nfunc (l *Level) collectPaths(currentDepth, targetDepth int, currentPath []string, results *[][]string) {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor key, child := range l.children {\n\t\tif child == nil {\n\t\t\tcontinue\n\t\t}\n\n\t\t// We explicitly make a new slice and copy data to avoid sharing underlying arrays between siblings\n\t\tnewPath := make([]string, len(currentPath))\n\t\tcopy(newPath, currentPath)\n\t\tnewPath = append(newPath, key)\n\n\t\t// Check depth, and just return if depth reached\n\t\tif currentDepth+1 == targetDepth {\n\t\t\t*results = append(*results, newPath)\n\t\t} else {\n\t\t\tchild.collectPaths(currentDepth+1, targetDepth, newPath, results)\n\t\t}\n\t}\n}\n\n// free removes buffers older than the retention threshold from the entire subtree.\n//\n// Recursively frees buffers in this level's metrics and all child levels. Buffers\n// with standard capacity (BufferCap) are returned to the pool. Called by the\n// retention worker to enforce retention policies.\n//\n// Parameters:\n// - t: Retention threshold timestamp (Unix seconds)\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) free(t int64) (int, error) {\n\tn, _, err := l.freeAndCheckEmpty(t)\n\treturn n, err\n}\n\n// freeAndCheckEmpty performs free() and atomically checks if the level is empty\n// while still holding its own lock, avoiding a TOCTOU race between free() and\n// a separate isEmpty() call.\nfunc (l *Level) freeAndCheckEmpty(t int64) (int, bool, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tdelme, m := b.free(t)\n\t\t\tn += m\n\t\t\tif delme {\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\tfor key, child := range l.children {\n\t\tm, empty, err := child.freeAndCheckEmpty(t)\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, false, err\n\t\t}\n\t\tif empty {\n\t\t\tdelete(l.children, key)\n\t\t}\n\t}\n\n\t// Check emptiness while still holding the lock\n\tempty := len(l.children) == 0\n\tif empty {\n\t\tfor _, b := range l.metrics {\n\t\t\tif b != nil {\n\t\t\t\tempty = false\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\treturn n, empty, nil\n}\n\n// isEmpty returns true if this level has no metrics and no children.\nfunc (l *Level) isEmpty() bool {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\treturn false\n\t\t}\n\t}\n\treturn len(l.children) == 0\n}\n\n// forceFree removes the oldest buffer from each metric chain in the subtree.\n//\n// Unlike free(), which removes based on time threshold, this unconditionally removes\n// the oldest buffer in each chain. Used by MemoryUsageTracker when memory cap is\n// exceeded and time-based retention is insufficient.\n//\n// Recursively processes current level's metrics and all child levels.\n//\n// Returns:\n// - int: Total number of buffers freed in this subtree\n// - error: Non-nil on failure (propagated from children)\nfunc (l *Level) forceFree() (int, error) {\n\tl.lock.Lock()\n\tdefer l.lock.Unlock()\n\n\tn := 0\n\n\t// Iterate over metrics in the current level\n\tfor i, b := range l.metrics {\n\t\tif b != nil {\n\t\t\t// Attempt to free the oldest buffer in this chain\n\t\t\tdelme, freedCount := b.forceFreeOldest()\n\t\t\tn += freedCount\n\n\t\t\t// If delme is true, it means 'b' itself (the head) was the oldest\n\t\t\t// and needs to be removed from the slice.\n\t\t\tif delme {\n\t\t\t\tb.next = nil\n\t\t\t\tb.prev = nil\n\t\t\t\tif cap(b.data) != BufferCap {\n\t\t\t\t\tb.data = make([]schema.Float, 0, BufferCap)\n\t\t\t\t}\n\t\t\t\tb.lastUsed = time.Now().Unix()\n\t\t\t\tbufferPool.Put(b)\n\t\t\t\tl.metrics[i] = nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// Recursively traverse children\n\tfor _, child := range l.children {\n\t\tm, err := child.forceFree()\n\t\tn += m\n\t\tif err != nil {\n\t\t\treturn n, err\n\t\t}\n\t}\n\n\treturn n, nil\n}\n\n// sizeInBytes calculates the total memory usage of all buffers in the subtree.\n//\n// Recursively sums buffer data sizes (count of Float values × sizeof(Float)) across\n// this level's metrics and all child levels. Used by MemoryUsageTracker to enforce\n// memory cap limits.\n//\n// Returns:\n// - int64: Total bytes used by buffer data in this subtree\nfunc (l *Level) sizeInBytes() int64 {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\tsize := int64(0)\n\n\tfor _, b := range l.metrics {\n\t\tif b != nil {\n\t\t\tsize += b.count() * int64(unsafe.Sizeof(schema.Float(0)))\n\t\t\tsize += b.bufferCount() * int64(unsafe.Sizeof(buffer{}))\n\t\t}\n\t}\n\n\tfor _, child := range l.children {\n\t\tsize += child.sizeInBytes()\n\t}\n\n\treturn size\n}\n\n// findLevel navigates to the level specified by selector, returning nil if not found.\n//\n// Read-only variant of findLevelOrCreate. Does not create missing levels.\n// Recursively descends the tree following the selector path.\n//\n// Parameters:\n// - selector: Hierarchical path (e.g., []string{\"emmy\", \"node001\", \"cpu0\"})\n//\n// Returns:\n// - *Level: The target level, or nil if any component in the path does not exist\nfunc (l *Level) findLevel(selector []string) *Level {\n\tif len(selector) == 0 {\n\t\treturn l\n\t}\n\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tlvl := l.children[selector[0]]\n\tif lvl == nil {\n\t\treturn nil\n\t}\n\n\treturn lvl.findLevel(selector[1:])\n}\n\n// findBuffers invokes callback on all buffers matching the selector pattern.\n//\n// Supports flexible selector patterns (from cc-lib/util.Selector):\n// - Exact match: Selector element with String set (e.g., \"node001\")\n// - Group match: Selector element with Group set (e.g., [\"cpu0\", \"cpu2\", \"cpu4\"])\n// - Wildcard: Selector element with Any=true (matches all children)\n//\n// Empty selector (len==0) matches current level's buffer at 'offset' and recursively\n// all descendant buffers at the same offset (used for aggregation queries).\n//\n// Parameters:\n// - selector: Pattern to match (consumed recursively)\n// - offset: Metric index in metrics slice (from MetricConfig.offset)\n// - f: Callback invoked on each matching buffer\n//\n// Returns:\n// - error: First error returned by callback, or nil if all succeeded\n//\n// Example:\n//\n//\t// Find all cpu0 buffers across all hosts:\n//\tfindBuffers([]Selector{{Any: true}, {String: \"cpu0\"}}, metricOffset, callback)\nfunc (l *Level) findBuffers(selector util.Selector, offset int, f func(b *buffer) error) error {\n\tl.lock.RLock()\n\tdefer l.lock.RUnlock()\n\n\tif len(selector) == 0 {\n\t\tb := l.metrics[offset]\n\t\tif b != nil {\n\t\t\treturn f(b)\n\t\t}\n\n\t\tfor _, lvl := range l.children {\n\t\t\terr := lvl.findBuffers(nil, offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tsel := selector[0]\n\tif len(sel.String) != 0 && l.children != nil {\n\t\tlvl, ok := l.children[sel.String]\n\t\tif ok {\n\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\tif err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Group != nil && l.children != nil {\n\t\tfor _, key := range sel.Group {\n\t\t\tlvl, ok := l.children[key]\n\t\t\tif ok {\n\t\t\t\terr := lvl.findBuffers(selector[1:], offset, f)\n\t\t\t\tif err != nil {\n\t\t\t\t\treturn err\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\tif sel.Any && l.children != nil {\n\t\tfor _, lvl := range l.children {\n\t\t\tif err := lvl.findBuffers(selector[1:], offset, f); err != nil {\n\t\t\t\treturn err\n\t\t\t}\n\t\t}\n\t\treturn nil\n\t}\n\n\treturn nil\n}\n","structuredPatch":[{"oldStart":233,"oldLines":19,"newStart":233,"newLines":6,"lines":[" return n, empty, nil"," }"," ","-// isEmpty returns true if this level has no metrics and no children.","-func (l *Level) isEmpty() bool {","- l.lock.RLock()","- defer l.lock.RUnlock()","-","- for _, b := range l.metrics {","- if b != nil {","- return false","- }","- }","- return len(l.children) == 0","-}","-"," // forceFree removes the oldest buffer from each metric chain in the subtree."," //"," // Unlike free(), which removes based on time threshold, this unconditionally removes"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a0fb350d-a11f-4aab-90af-c2b91894a995","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"8a4abf7e-1e9e-4af3-b763-6f5417bcc21b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CdYSEysaeYngdEMoiz86PX","type":"message","role":"assistant","content":[{"type":"text","text":"Now run the tests."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":289,"cache_read_input_tokens":63361,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":289},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinXojQJKN8pTz9Q1Ng","type":"assistant","uuid":"90b7899b-af87-47f7-837e-2adb605c0fa6","timestamp":"2026-03-13T07:56:04.074Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"90b7899b-af87-47f7-837e-2adb605c0fa6","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CdYSEysaeYngdEMoiz86PX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKuHsmaNPmHSiywzhufMhr","name":"Bash","input":{"command":"go test ./pkg/metricstore/... 2>&1","description":"Run metricstore tests","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":289,"cache_read_input_tokens":63361,"output_tokens":129,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":289,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzinXojQJKN8pTz9Q1Ng","type":"assistant","uuid":"14a251da-6458-4251-82d7-82566f2a6afe","timestamp":"2026-03-13T07:56:04.952Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"14a251da-6458-4251-82d7-82566f2a6afe","isSidechain":false,"promptId":"57af2f1f-cd95-4ae9-8b5d-42bba55608a7","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKuHsmaNPmHSiywzhufMhr","type":"tool_result","content":"ok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.545s","is_error":false}]},"uuid":"778d670f-c394-4025-9e2c-cefb6aca63a2","timestamp":"2026-03-13T07:56:07.501Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/pkg/metricstore\t0.545s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"14a251da-6458-4251-82d7-82566f2a6afe","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"778d670f-c394-4025-9e2c-cefb6aca63a2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017PPHezUihZzhUxVEJBSaQU","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Let me also check if the config schema validation file needs updating for the new field."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":149,"cache_read_input_tokens":63650,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":149},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzinzu9uKHVMdNvWdyrK","type":"assistant","uuid":"3c54923a-b0c0-433c-8fe0-42e2b5025f99","timestamp":"2026-03-13T07:56:10.784Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package metricstore\n 7→\n 8→const configSchema = `{\n 9→ \"type\": \"object\",\n 10→ \"description\": \"Configuration specific to built-in metric-store.\",\n 11→ \"properties\": {\n 12→ \"num-workers\": {\n 13→ \"description\": \"Number of concurrent workers for checkpoint and archive operations\",\n 14→ \"type\": \"integer\"\n 15→ },\n 16→ \"checkpoints\": {\n 17→ \"description\": \"Configuration for checkpointing the metrics buffers\",\n 18→ \"type\": \"object\",\n 19→ \"properties\": {\n 20→ \"file-format\": {\n 21→ \"description\": \"Specify the format for checkpoint files. Two variants: 'json' (human-readable, periodic) and 'wal' (binary snapshot + Write-Ahead Log, crash-safe). Default is 'wal'.\",\n 22→ \"type\": \"string\"\n 23→ },\n 24→ \"directory\": {\n 25→ \"description\": \"Path in which the checkpointed files should be placed.\",\n 26→ \"type\": \"string\"\n 27→ }\n 28→ }\n 29→ },\n 30→ \"cleanup\": {\n 31→ \"description\": \"Configuration for the cleanup process. The cleanup interval is always 'retention-in-memory'.\",\n 32→ \"type\": \"object\",\n 33→ \"properties\": {\n 34→ \"mode\": {\n 35→ \"description\": \"The operation mode (e.g., 'archive' or 'delete').\",\n 36→ \"type\": \"string\",\n 37→ \"enum\": [\"archive\", \"delete\"]\n 38→ },\n 39→ \"directory\": {\n 40→ \"description\": \"Target directory for archive operations.\",\n 41→ \"type\": \"string\"\n 42→ }\n 43→ },\n 44→ \"if\": {\n 45→ \"properties\": {\n 46→ \"mode\": { \"const\": \"archive\" }\n 47→ }\n 48→ },\n 49→ \"then\": {\n 50→ \"required\": [\"directory\"]\n 51→ }\n 52→ },\n 53→ \"retention-in-memory\": {\n 54→ \"description\": \"Keep the metrics within memory for given time interval. Retention for X hours, then the metrics would be freed.\",\n 55→ \"type\": \"string\"\n 56→ },\n 57→ \"memory-cap\": {\n 58→ \"description\": \"Upper memory capacity limit used by metricstore in GB\",\n 59→ \"type\": \"integer\"\n 60→ },\n 61→ \"nats-subscriptions\": {\n 62→ \"description\": \"Array of various subscriptions. 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage metricstore\n\nconst configSchema = `{\n \"type\": \"object\",\n \"description\": \"Configuration specific to built-in metric-store.\",\n \"properties\": {\n \"num-workers\": {\n \"description\": \"Number of concurrent workers for checkpoint and archive operations\",\n \"type\": \"integer\"\n },\n \"checkpoints\": {\n \"description\": \"Configuration for checkpointing the metrics buffers\",\n \"type\": \"object\",\n \"properties\": {\n \"file-format\": {\n \"description\": \"Specify the format for checkpoint files. Two variants: 'json' (human-readable, periodic) and 'wal' (binary snapshot + Write-Ahead Log, crash-safe). 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Here's a summary of what was implemented:\n\n**Bug fixes:**\n\n1. **Bug 1 — TOCTOU race in `free()`** (`level.go`): Replaced separate `free()` + `isEmpty()` calls with a single `freeAndCheckEmpty()` method that checks emptiness while still holding the lock. `free()` now delegates to it. Removed the now-unused `isEmpty()` method.\n\n2. **Bug 2 — Wrong index after buffer switch in `stats()`** (`stats.go:45`): Changed `idx = 0` to `idx = int((t - b.start) / b.frequency)` to correctly recalculate the position in the next buffer, matching the fix already applied in `buffer.read()`.\n\n3. **Bug 3 — `FreeAll()` not thread-safe** (`metricstore.go:756`): Added `m.root.lock.Lock()`/`Unlock()` around the map iteration and deletion.\n\n4. **Bug 6 — `ScaleBy(0)` is a no-op** (`api.go:130`): Changed `f == 0 || f == 1` to `f == 1` so scaling by 0 correctly zeroes out data.\n\n5. **Bug 7 — `collectMetricStatus` wrong metric for unknown names** (`healthcheck.go:69`): Added `mc, ok := m.Metrics[metricName]; if !ok { continue }` to skip unknown metrics (they'll be reported as missing).\n\n**Improvement:**\n\n6. **Configurable checkpoint interval** (`config.go`, `configSchema.go`, `checkpoint.go`): Added `CheckpointInterval string` field to `MetricStoreConfig` (json: `\"checkpoint-interval,omitempty\"`). When set, `Checkpointing()` parses it with `time.ParseDuration`; defaults to `12h` when empty/unset."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":153,"cache_read_input_tokens":65335,"output_tokens":462,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":153,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzipENJPwwE9Ucz2Davp","type":"assistant","uuid":"67920e75-0595-4a2f-bb0c-72d8a673e9f6","timestamp":"2026-03-13T07:56:36.758Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"67920e75-0595-4a2f-bb0c-72d8a673e9f6","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code stop"},"parentToolUseID":"dadf61d5-2935-4cd7-a2f5-7d6d54c980af","toolUseID":"dadf61d5-2935-4cd7-a2f5-7d6d54c980af","timestamp":"2026-03-13T07:56:36.790Z","uuid":"365e9c4d-5561-43df-bf62-64a39b684cec","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"365e9c4d-5561-43df-bf62-64a39b684cec","isSidechain":false,"type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"entire hooks claude-code stop","durationMs":659}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-03-13T07:56:37.449Z","uuid":"cdcb0564-4842-47a1-9dc9-aaadf325b29f","toolUseID":"dadf61d5-2935-4cd7-a2f5-7d6d54c980af","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"cdcb0564-4842-47a1-9dc9-aaadf325b29f","isSidechain":false,"type":"system","subtype":"turn_duration","durationMs":109683,"timestamp":"2026-03-13T07:56:37.450Z","uuid":"b0431a2f-a694-4ac7-add6-8d7ed02ad42f","isMeta":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"60cd4972-5f77-4739-8e73-65d20918d1f4","snapshot":{"messageId":"60cd4972-5f77-4739-8e73-65d20918d1f4","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/stats.go":{"backupFileName":"3fe420c4b160c1a8@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/api.go":{"backupFileName":"562132bad4f769ab@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/healthcheck.go":{"backupFileName":"29f30693ee65fae3@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/checkpoint.go":{"backupFileName":"6cd2cc2f9fa35484@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/configSchema.go":{"backupFileName":"5a1be5ca7fda54fe@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"}},"timestamp":"2026-03-13T08:00:54.220Z"},"isSnapshotUpdate":false} +{"parentUuid":"b0431a2f-a694-4ac7-add6-8d7ed02ad42f","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":"What about the other Improvements. Which ones do you recommend"},"uuid":"60cd4972-5f77-4739-8e73-65d20918d1f4","timestamp":"2026-03-13T08:00:53.626Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"60cd4972-5f77-4739-8e73-65d20918d1f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TGtPYLEukpR66xo7B8mmYY","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nLet me read the existing plan and the relevant code to evaluate the remaining improvements."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1943,"cache_read_input_tokens":65488,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1943},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjA97qwcpMGu2NmC6NU","type":"assistant","uuid":"3e5c1102-6073-47f2-afd4-929d48780038","timestamp":"2026-03-13T08:00:58.423Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"3e5c1102-6073-47f2-afd4-929d48780038","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TGtPYLEukpR66xo7B8mmYY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0151tuXnUdBy6XbFi2pekKbo","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1943,"cache_read_input_tokens":65488,"output_tokens":88,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1943,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjA97qwcpMGu2NmC6NU","type":"assistant","uuid":"a311705b-e287-417d-be65-48e8319d621c","timestamp":"2026-03-13T08:00:58.543Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a311705b-e287-417d-be65-48e8319d621c","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_0151tuXnUdBy6XbFi2pekKbo","toolUseID":"toolu_0151tuXnUdBy6XbFi2pekKbo","timestamp":"2026-03-13T08:00:58.558Z","uuid":"a2f5316d-d033-4fca-8502-f3522247114c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"a311705b-e287-417d-be65-48e8319d621c","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0151tuXnUdBy6XbFi2pekKbo","type":"tool_result","content":" 1→# Metricstore In-Depth Review: Bugs & Improvements\n 2→\n 3→## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n 4→**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n 5→\n 6→**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n 7→\n 8→## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n 9→**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n 10→\n 11→**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n 12→\n 13→## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n 14→**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n 15→\n 16→**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n 17→\n 18→## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n 19→**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n 20→\n 21→**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n 22→\n 23→## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n 24→**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n 25→\n 26→**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n 27→\n 28→## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n 29→**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n 30→\n 31→**Fix**: Only skip for factor == 1 (identity), not 0.\n 32→\n 33→## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n 34→**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n 35→\n 36→**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n 37→\n 38→## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n 39→**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n 40→**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n 41→\n 42→## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n 43→**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n 44→**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n 45→\n 46→## IMPROVEMENT 3: `MemoryCap` type mismatch\n 47→**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n 48→**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n 49→\n 50→## IMPROVEMENT 4: No WAL size limit\n 51→**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n 52→**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n 53→\n 54→---\n 55→\n 56→## Files to modify\n 57→\n 58→- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n 59→- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n 60→- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n 61→- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n 62→- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n 63→- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n 64→- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n 65→\n 66→## Verification\n 67→```bash\n 68→go test ./pkg/metricstore/...\n 69→```\n 70→"}]},"uuid":"fefc2425-bb31-4b91-a2e9-e4f01b8339af","timestamp":"2026-03-13T08:00:58.558Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","numLines":70,"startLine":1,"totalLines":70}},"sourceToolAssistantUUID":"a311705b-e287-417d-be65-48e8319d621c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} 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\"current.wal\")\n 145→\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n 146→\t\t\tif err != nil {\n 147→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n 148→\t\t\t\treturn nil\n 149→\t\t\t}\n 150→\n 151→\t\t\t// Write file header magic if file is new (empty).\n 152→\t\t\tinfo, err := f.Stat()\n 153→\t\t\tif err == nil && info.Size() == 0 {\n 154→\t\t\t\tvar hdr [4]byte\n 155→\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n 156→\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n 157→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n 158→\t\t\t\t\tf.Close()\n 159→\t\t\t\t\treturn nil\n 160→\t\t\t\t}\n 161→\t\t\t}\n 162→\n 163→\t\t\thostFiles[hostDir] = &walFileState{f: f}\n 164→\t\t\treturn f\n 165→\t\t}\n 166→\n 167→\t\tprocessMsg := func(msg *WALMessage) {\n 168→\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n 169→\t\t\tf := getOrOpenWAL(hostDir)\n 170→\t\t\tif f == nil {\n 171→\t\t\t\treturn\n 172→\t\t\t}\n 173→\t\t\tif err := writeWALRecord(f, msg); err != nil {\n 174→\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n 175→\t\t\t}\n 176→\t\t}\n 177→\n 178→\t\tprocessRotate := func(req walRotateReq) {\n 179→\t\t\tws, ok := hostFiles[req.hostDir]\n 180→\t\t\tif ok && ws.f != nil {\n 181→\t\t\t\tws.f.Close()\n 182→\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n 183→\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n 184→\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n 185→\t\t\t\t}\n 186→\t\t\t\tdelete(hostFiles, req.hostDir)\n 187→\t\t\t}\n 188→\t\t\tclose(req.done)\n 189→\t\t}\n 190→\n 191→\t\tdrain := func() {\n 192→\t\t\tfor {\n 193→\t\t\t\tselect {\n 194→\t\t\t\tcase msg, ok := <-WALMessages:\n 195→\t\t\t\t\tif !ok {\n 196→\t\t\t\t\t\treturn\n 197→\t\t\t\t\t}\n 198→\t\t\t\t\tprocessMsg(msg)\n 199→\t\t\t\tcase req := <-walRotateCh:\n 200→\t\t\t\t\tprocessRotate(req)\n 201→\t\t\t\tdefault:\n 202→\t\t\t\t\treturn\n 203→\t\t\t\t}\n 204→\t\t\t}\n 205→\t\t}\n 206→\n 207→\t\tfor {\n 208→\t\t\tselect {\n 209→\t\t\tcase <-ctx.Done():\n 210→\t\t\t\tdrain()\n 211→\t\t\t\treturn\n 212→\t\t\tcase msg, ok := <-WALMessages:\n 213→\t\t\t\tif !ok {\n 214→\t\t\t\t\treturn\n 215→\t\t\t\t}\n 216→\t\t\t\tprocessMsg(msg)\n 217→\t\t\tcase req := <-walRotateCh:\n 218→\t\t\t\tprocessRotate(req)\n 219→\t\t\t}\n 220→\t\t}\n 221→\t})\n 222→}\n 223→\n 224→// RotateWALFiles sends rotation requests for the given host directories\n 225→// and blocks until all rotations complete.\n 226→func RotateWALFiles(hostDirs []string) {\n 227→\tdones := make([]chan struct{}, len(hostDirs))\n 228→\tfor i, dir := range hostDirs {\n 229→\t\tdones[i] = make(chan struct{})"}]},"uuid":"fab0082c-f89a-4f42-8908-5dea63b0b74e","timestamp":"2026-03-13T08:01:09.987Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: mkdir %s: %v\", hostDir, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\twalPath := path.Join(hostDir, \"current.wal\")\n\t\t\tf, err := os.OpenFile(walPath, os.O_CREATE|os.O_APPEND|os.O_WRONLY, CheckpointFilePerms)\n\t\t\tif err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: open %s: %v\", walPath, err)\n\t\t\t\treturn nil\n\t\t\t}\n\n\t\t\t// Write file header magic if file is new (empty).\n\t\t\tinfo, err := f.Stat()\n\t\t\tif err == nil && info.Size() == 0 {\n\t\t\t\tvar hdr [4]byte\n\t\t\t\tbinary.LittleEndian.PutUint32(hdr[:], walFileMagic)\n\t\t\t\tif _, err := f.Write(hdr[:]); err != nil {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write header %s: %v\", walPath, err)\n\t\t\t\t\tf.Close()\n\t\t\t\t\treturn nil\n\t\t\t\t}\n\t\t\t}\n\n\t\t\thostFiles[hostDir] = &walFileState{f: f}\n\t\t\treturn f\n\t\t}\n\n\t\tprocessMsg := func(msg *WALMessage) {\n\t\t\thostDir := path.Join(Keys.Checkpoints.RootDir, msg.Cluster, msg.Node)\n\t\t\tf := getOrOpenWAL(hostDir)\n\t\t\tif f == nil {\n\t\t\t\treturn\n\t\t\t}\n\t\t\tif err := writeWALRecord(f, msg); err != nil {\n\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: write record: %v\", err)\n\t\t\t}\n\t\t}\n\n\t\tprocessRotate := func(req walRotateReq) {\n\t\t\tws, ok := hostFiles[req.hostDir]\n\t\t\tif ok && ws.f != nil {\n\t\t\t\tws.f.Close()\n\t\t\t\twalPath := path.Join(req.hostDir, \"current.wal\")\n\t\t\t\tif err := os.Remove(walPath); err != nil && !os.IsNotExist(err) {\n\t\t\t\t\tcclog.Errorf(\"[METRICSTORE]> WAL: remove %s: %v\", walPath, err)\n\t\t\t\t}\n\t\t\t\tdelete(hostFiles, req.hostDir)\n\t\t\t}\n\t\t\tclose(req.done)\n\t\t}\n\n\t\tdrain := func() {\n\t\t\tfor {\n\t\t\t\tselect {\n\t\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\t\tif !ok {\n\t\t\t\t\t\treturn\n\t\t\t\t\t}\n\t\t\t\t\tprocessMsg(msg)\n\t\t\t\tcase req := <-walRotateCh:\n\t\t\t\t\tprocessRotate(req)\n\t\t\t\tdefault:\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tfor {\n\t\t\tselect {\n\t\t\tcase <-ctx.Done():\n\t\t\t\tdrain()\n\t\t\t\treturn\n\t\t\tcase msg, ok := <-WALMessages:\n\t\t\t\tif !ok {\n\t\t\t\t\treturn\n\t\t\t\t}\n\t\t\t\tprocessMsg(msg)\n\t\t\tcase req := <-walRotateCh:\n\t\t\t\tprocessRotate(req)\n\t\t\t}\n\t\t}\n\t})\n}\n\n// RotateWALFiles sends rotation requests for the given host directories\n// and blocks until all rotations complete.\nfunc RotateWALFiles(hostDirs []string) {\n\tdones := make([]chan struct{}, len(hostDirs))\n\tfor i, dir := range hostDirs {\n\t\tdones[i] = make(chan 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magic][4B payload_len][payload][4B CRC32]\n 287→func writeWALRecord(f *os.File, msg *WALMessage) error {\n 288→\tpayload := buildWALPayload(msg)\n 289→\tcrc := crc32.ChecksumIEEE(payload)\n 290→\n 291→\trecord := make([]byte, 0, 4+4+len(payload)+4)\n 292→\n 293→\tvar magic [4]byte\n 294→\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n 295→\trecord = append(record, magic[:]...)\n 296→\n 297→\tvar pLen [4]byte\n 298→\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n 299→\trecord = append(record, pLen[:]...)\n 300→\n 301→\trecord = append(record, payload...)\n 302→\n 303→\tvar crcBytes [4]byte\n 304→\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n 305→\trecord = append(record, crcBytes[:]...)\n 306→\n 307→\t_, err := f.Write(record)\n 308→\treturn err\n 309→}\n 310→\n 311→// readWALRecord reads one WAL record from the reader.\n 312→// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n 313→// A CRC mismatch indicates a truncated trailing record (expected on crash).\n 314→func readWALRecord(r io.Reader) (*WALMessage, error) {\n 315→\tvar magic uint32\n 316→\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n 317→\t\tif err == io.EOF {\n 318→\t\t\treturn nil, nil // Clean EOF\n 319→\t\t}\n 320→\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n 321→\t}\n 322→\n 323→\tif magic != walRecordMagic {\n 324→\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n 325→\t}\n 326→\n 327→\tvar payloadLen uint32\n 328→\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n 329→\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n 330→\t}\n 331→\n 332→\tif payloadLen > 1<<20 { // 1 MB sanity limit\n 333→\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n 334→\t}\n 335→\n 336→\tpayload := make([]byte, payloadLen)\n 337→\tif _, err := io.ReadFull(r, payload); err != nil {\n 338→\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n 339→\t}"}]},"uuid":"40b91b5c-4b2b-4e34-927c-122e59aa4f8d","timestamp":"2026-03-13T08:01:10.692Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"\tbuf = append(buf, val[:]...)\n\n\treturn buf\n}\n\n// writeWALRecord appends a binary WAL record to the file.\n// Format: [4B magic][4B payload_len][payload][4B CRC32]\nfunc writeWALRecord(f *os.File, msg *WALMessage) error {\n\tpayload := buildWALPayload(msg)\n\tcrc := crc32.ChecksumIEEE(payload)\n\n\trecord := make([]byte, 0, 4+4+len(payload)+4)\n\n\tvar magic [4]byte\n\tbinary.LittleEndian.PutUint32(magic[:], walRecordMagic)\n\trecord = append(record, magic[:]...)\n\n\tvar pLen [4]byte\n\tbinary.LittleEndian.PutUint32(pLen[:], uint32(len(payload)))\n\trecord = append(record, pLen[:]...)\n\n\trecord = append(record, payload...)\n\n\tvar crcBytes [4]byte\n\tbinary.LittleEndian.PutUint32(crcBytes[:], crc)\n\trecord = append(record, crcBytes[:]...)\n\n\t_, err := f.Write(record)\n\treturn err\n}\n\n// readWALRecord reads one WAL record from the reader.\n// Returns (nil, nil) on clean EOF. Returns error on data corruption.\n// A CRC mismatch indicates a truncated trailing record (expected on crash).\nfunc readWALRecord(r io.Reader) (*WALMessage, error) {\n\tvar magic uint32\n\tif err := binary.Read(r, binary.LittleEndian, &magic); err != nil {\n\t\tif err == io.EOF {\n\t\t\treturn nil, nil // Clean EOF\n\t\t}\n\t\treturn nil, fmt.Errorf(\"read record magic: %w\", err)\n\t}\n\n\tif magic != walRecordMagic {\n\t\treturn nil, fmt.Errorf(\"invalid record magic 0x%08X (expected 0x%08X)\", magic, walRecordMagic)\n\t}\n\n\tvar payloadLen uint32\n\tif err := binary.Read(r, binary.LittleEndian, &payloadLen); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload length: %w\", err)\n\t}\n\n\tif payloadLen > 1<<20 { // 1 MB sanity limit\n\t\treturn nil, fmt.Errorf(\"record payload too large: %d bytes\", payloadLen)\n\t}\n\n\tpayload := make([]byte, payloadLen)\n\tif _, err := io.ReadFull(r, payload); err != nil {\n\t\treturn nil, fmt.Errorf(\"read payload: %w\", err)\n\t}","numLines":60,"startLine":280,"totalLines":798}},"sourceToolAssistantUUID":"f597f659-99fd-404c-bb0b-18189a7dc5d1","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"40b91b5c-4b2b-4e34-927c-122e59aa4f8d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_016zpgDX45p8t9NmbiugHX9W","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MerKUXPgreiAK7DhxsoMcn","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","offset":1,"limit":50},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2342,"cache_read_input_tokens":67431,"output_tokens":475,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2342,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjATWt6kRYTjYfFibpR","type":"assistant","uuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","timestamp":"2026-03-13T08:01:11.551Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01MerKUXPgreiAK7DhxsoMcn","toolUseID":"toolu_01MerKUXPgreiAK7DhxsoMcn","timestamp":"2026-03-13T08:01:11.588Z","uuid":"5c77d6e3-5187-465e-b1fa-e52eb45fff65","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MerKUXPgreiAK7DhxsoMcn","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n 7→//\n 8→// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n 9→// per host, eliminating the extra memory overhead of the AvroStore and providing\n 10→// truly continuous (per-write) crash safety.\n 11→//\n 12→// # Architecture\n 13→//\n 14→//\tMetric write (DecodeLine)\n 15→//\t │\n 16→//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n 17→//\t │\n 18→//\t └─► WALMessages channel\n 19→//\t │\n 20→//\t ▼\n 21→//\t WALStaging goroutine\n 22→//\t │\n 23→//\t ▼\n 24→//\t checkpoints/cluster/host/current.wal (append-only, binary)\n 25→//\n 26→//\tPeriodic checkpoint (Checkpointing goroutine):\n 27→//\t 1. Write .bin snapshot (column-oriented, from main tree)\n 28→//\t 2. Signal WALStaging to truncate current.wal per host\n 29→//\n 30→//\tOn restart (FromCheckpoint):\n 31→//\t 1. Load most recent .bin snapshot\n 32→//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n 33→//\n 34→// # WAL Record Format\n 35→//\n 36→//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n 37→//\n 38→//\tpayload:\n 39→//\t [8B timestamp int64]\n 40→//\t [2B metric_name_len uint16][N metric name bytes]\n 41→//\t [1B selector_count uint8]\n 42→//\t per selector: [1B selector_len uint8][M selector bytes]\n 43→//\t [4B value float32 bits]\n 44→//\n 45→// # Binary Snapshot Format\n 46→//\n 47→//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n 48→//\tLevel tree (recursive):\n 49→//\t [4B num_metrics uint32]\n 50→//\t per metric:"}]},"uuid":"823cbbda-d61c-4309-8855-a551ab7ba41c","timestamp":"2026-03-13T08:01:11.587Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package metricstore provides walCheckpoint.go: WAL-based checkpoint implementation.\n//\n// This replaces the Avro shadow tree with an append-only Write-Ahead Log (WAL)\n// per host, eliminating the extra memory overhead of the AvroStore and providing\n// truly continuous (per-write) crash safety.\n//\n// # Architecture\n//\n//\tMetric write (DecodeLine)\n//\t │\n//\t ├─► WriteToLevel() → main MemoryStore (unchanged)\n//\t │\n//\t └─► WALMessages channel\n//\t │\n//\t ▼\n//\t WALStaging goroutine\n//\t │\n//\t ▼\n//\t checkpoints/cluster/host/current.wal (append-only, binary)\n//\n//\tPeriodic checkpoint (Checkpointing goroutine):\n//\t 1. Write .bin snapshot (column-oriented, from main tree)\n//\t 2. Signal WALStaging to truncate current.wal per host\n//\n//\tOn restart (FromCheckpoint):\n//\t 1. Load most recent .bin snapshot\n//\t 2. Replay current.wal (overwrite-safe: buffer.write handles duplicate timestamps)\n//\n// # WAL Record Format\n//\n//\t[4B magic 0xCC1DA7A1][4B payload_len][payload][4B CRC32]\n//\n//\tpayload:\n//\t [8B timestamp int64]\n//\t [2B metric_name_len uint16][N metric name bytes]\n//\t [1B selector_count uint8]\n//\t per selector: [1B selector_len uint8][M selector bytes]\n//\t [4B value float32 bits]\n//\n// # Binary Snapshot Format\n//\n//\t[4B magic 0xCC5B0001][8B from int64][8B to int64]\n//\tLevel tree (recursive):\n//\t [4B num_metrics uint32]\n//\t per metric:","numLines":50,"startLine":1,"totalLines":798}},"sourceToolAssistantUUID":"0231cde2-c1cf-4b3c-acbd-bf4729ef1b69","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"823cbbda-d61c-4309-8855-a551ab7ba41c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SnpdWi3n16QUu2cgnAaWj1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KBMVArxUVgtnWAaDeSaHhE","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","offset":50,"limit":90},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3341,"cache_read_input_tokens":69773,"output_tokens":115,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3341,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjBRR9tP2dgxj67wAo9","type":"assistant","uuid":"0ab4023c-98fd-4e82-b5cb-096af447f804","timestamp":"2026-03-13T08:01:24.838Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0ab4023c-98fd-4e82-b5cb-096af447f804","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01KBMVArxUVgtnWAaDeSaHhE","toolUseID":"toolu_01KBMVArxUVgtnWAaDeSaHhE","timestamp":"2026-03-13T08:01:24.869Z","uuid":"4e9dcfe5-9196-4f9e-a709-4b77ed5ade80","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"0ab4023c-98fd-4e82-b5cb-096af447f804","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KBMVArxUVgtnWAaDeSaHhE","type":"tool_result","content":" 50→//\t per metric:\n 51→//\t [2B name_len uint16][N name bytes]\n 52→//\t [8B frequency int64][8B start int64]\n 53→//\t [4B num_values uint32][num_values × 4B float32]\n 54→//\t [4B num_children uint32]\n 55→//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\n 56→package metricstore\n 57→\n 58→import (\n 59→\t\"bufio\"\n 60→\t\"context\"\n 61→\t\"encoding/binary\"\n 62→\t\"fmt\"\n 63→\t\"hash/crc32\"\n 64→\t\"io\"\n 65→\t\"math\"\n 66→\t\"os\"\n 67→\t\"path\"\n 68→\t\"strings\"\n 69→\t\"sync\"\n 70→\t\"sync/atomic\"\n 71→\n 72→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 73→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 74→)\n 75→\n 76→// Magic numbers for binary formats.\n 77→const (\n 78→\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n 79→\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n 80→\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n 81→)\n 82→\n 83→// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n 84→// Buffered to allow burst writes without blocking the metric ingestion path.\n 85→var WALMessages = make(chan *WALMessage, 4096)\n 86→\n 87→// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n 88→// (close, delete, reopen) after a binary snapshot has been written.\n 89→var walRotateCh = make(chan walRotateReq, 256)\n 90→\n 91→// WALMessage represents a single metric write to be appended to the WAL.\n 92→// Cluster and Node are NOT stored in the WAL record (inferred from file path).\n 93→type WALMessage struct {\n 94→\tMetricName string\n 95→\tCluster string\n 96→\tNode string\n 97→\tSelector []string\n 98→\tValue schema.Float\n 99→\tTimestamp int64\n 100→}\n 101→\n 102→// walRotateReq requests WAL file rotation for a specific host directory.\n 103→// The done channel is closed by the WAL goroutine when rotation is complete.\n 104→type walRotateReq struct {\n 105→\thostDir string\n 106→\tdone chan struct{}\n 107→}\n 108→\n 109→// walFileState holds an open WAL file handle for one host directory.\n 110→type walFileState struct {\n 111→\tf *os.File\n 112→}\n 113→\n 114→// WALStaging starts a background goroutine that receives WALMessage items\n 115→// and appends binary WAL records to per-host current.wal files.\n 116→// Also handles WAL rotation requests from the checkpoint goroutine.\n 117→func WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n 118→\twg.Go(func() {\n 119→\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n 120→\t\t\treturn\n 121→\t\t}\n 122→\n 123→\t\thostFiles := make(map[string]*walFileState)\n 124→\n 125→\t\tdefer func() {\n 126→\t\t\tfor _, ws := range hostFiles {\n 127→\t\t\t\tif ws.f != nil {\n 128→\t\t\t\t\tws.f.Close()\n 129→\t\t\t\t}\n 130→\t\t\t}\n 131→\t\t}()\n 132→\n 133→\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n 134→\t\t\tws, ok := hostFiles[hostDir]\n 135→\t\t\tif ok {\n 136→\t\t\t\treturn ws.f\n 137→\t\t\t}\n 138→\n 139→\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {"}]},"uuid":"95b85559-01a0-45dd-8144-5c84022f789c","timestamp":"2026-03-13T08:01:24.868Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/walCheckpoint.go","content":"//\t per metric:\n//\t [2B name_len uint16][N name bytes]\n//\t [8B frequency int64][8B start int64]\n//\t [4B num_values uint32][num_values × 4B float32]\n//\t [4B num_children uint32]\n//\t per child: [2B name_len uint16][N name bytes] + Level (recursive)\npackage metricstore\n\nimport (\n\t\"bufio\"\n\t\"context\"\n\t\"encoding/binary\"\n\t\"fmt\"\n\t\"hash/crc32\"\n\t\"io\"\n\t\"math\"\n\t\"os\"\n\t\"path\"\n\t\"strings\"\n\t\"sync\"\n\t\"sync/atomic\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Magic numbers for binary formats.\nconst (\n\twalFileMagic = uint32(0xCC1DA701) // WAL file header magic\n\twalRecordMagic = uint32(0xCC1DA7A1) // WAL record magic\n\tsnapFileMagic = uint32(0xCC5B0001) // Binary snapshot magic\n)\n\n// WALMessages is the channel for sending metric writes to the WAL staging goroutine.\n// Buffered to allow burst writes without blocking the metric ingestion path.\nvar WALMessages = make(chan *WALMessage, 4096)\n\n// walRotateCh is used by the checkpoint goroutine to request WAL file rotation\n// (close, delete, reopen) after a binary snapshot has been written.\nvar walRotateCh = make(chan walRotateReq, 256)\n\n// WALMessage represents a single metric write to be appended to the WAL.\n// Cluster and Node are NOT stored in the WAL record (inferred from file path).\ntype WALMessage struct {\n\tMetricName string\n\tCluster string\n\tNode string\n\tSelector []string\n\tValue schema.Float\n\tTimestamp int64\n}\n\n// walRotateReq requests WAL file rotation for a specific host directory.\n// The done channel is closed by the WAL goroutine when rotation is complete.\ntype walRotateReq struct {\n\thostDir string\n\tdone chan struct{}\n}\n\n// walFileState holds an open WAL file handle for one host directory.\ntype walFileState struct {\n\tf *os.File\n}\n\n// WALStaging starts a background goroutine that receives WALMessage items\n// and appends binary WAL records to per-host current.wal files.\n// Also handles WAL rotation requests from the checkpoint goroutine.\nfunc WALStaging(wg *sync.WaitGroup, ctx context.Context) {\n\twg.Go(func() {\n\t\tif Keys.Checkpoints.FileFormat == \"json\" {\n\t\t\treturn\n\t\t}\n\n\t\thostFiles := make(map[string]*walFileState)\n\n\t\tdefer func() {\n\t\t\tfor _, ws := range hostFiles {\n\t\t\t\tif ws.f != nil {\n\t\t\t\t\tws.f.Close()\n\t\t\t\t}\n\t\t\t}\n\t\t}()\n\n\t\tgetOrOpenWAL := func(hostDir string) *os.File {\n\t\t\tws, ok := hostFiles[hostDir]\n\t\t\tif ok {\n\t\t\t\treturn ws.f\n\t\t\t}\n\n\t\t\tif err := os.MkdirAll(hostDir, CheckpointDirPerms); err != nil {","numLines":90,"startLine":50,"totalLines":798}},"sourceToolAssistantUUID":"0ab4023c-98fd-4e82-b5cb-096af447f804","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"95b85559-01a0-45dd-8144-5c84022f789c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018vRivQZUwsWpRAaY1D3FAM","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have a clear picture. Here's my assessment of the remaining improvements:\n\n**Improvement 1 (WAL buffering)** — **Recommend: YES.** Each metric write does a separate `f.Write()` syscall (line 307). With thousands of metrics/sec across hundreds of hosts, this is a significant I/O bottleneck. The `walFileState` struct already exists and can hold a `bufio.Writer`. The WAL staging goroutine is single-threaded, so no extra synchronization needed. Flush on rotation and on shutdown. Low risk, high impact.\n\n**Improvement 3 (MemoryCap docs)** — **Recommend: YES, trivial.** The config schema already says \"in GB\" (line 58 of configSchema.go), but the struct comment in config.go says \"bytes\". Just fix the comment. One line change.\n\n**Improvement 4 (WAL size limit)** — **Recommend: NO, not yet.** This adds significant complexity (tracking file sizes per host, triggering mid-cycle checkpoints, coordinating with the checkpoint goroutine). The checkpoint interval is now configurable (Improvement 2, already done), so users can reduce WAL accumulation by shortening the interval. The ROI isn't there until there's evidence of actual WAL size problems in production.\n\n**Bug 5 (periodic fsync)** — **Recommend: NO for now.** The CRC check already handles corrupt trailing records gracefully on crash. Adding periodic fsync adds complexity and I/O overhead. The WAL is a best-effort crash recovery mechanism on top of the binary snapshots — losing a few seconds of data on crash is acceptable. If durability requirements increase, revisit.\n\nSo I'd recommend implementing **Improvement 1** (WAL buffering) and **Improvement 3** (fix the misleading comment). Let me write the plan."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1258,"cache_read_input_tokens":73114,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1258},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYzjCQ3aXKLLxwxMvm9rT","type":"assistant","uuid":"c8dd12c9-f6d7-4d2e-a8cc-d8e9adfcb9ef","timestamp":"2026-03-13T08:01:41.029Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"c8dd12c9-f6d7-4d2e-a8cc-d8e9adfcb9ef","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018vRivQZUwsWpRAaY1D3FAM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019Nnx9e4GQtWD965k1KSn1C","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","offset":108,"limit":25},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1258,"cache_read_input_tokens":73114,"output_tokens":541,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1258,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjCQ3aXKLLxwxMvm9rT","type":"assistant","uuid":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","timestamp":"2026-03-13T08:01:41.942Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_019Nnx9e4GQtWD965k1KSn1C","toolUseID":"toolu_019Nnx9e4GQtWD965k1KSn1C","timestamp":"2026-03-13T08:01:41.977Z","uuid":"25cf5ff8-661c-428b-a254-2504492cb25a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019Nnx9e4GQtWD965k1KSn1C","type":"tool_result","content":" 108→// MetricStoreConfig defines the main configuration for the metricstore.\n 109→//\n 110→// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n 111→// persistence, archiving, and metric ingestion.\n 112→//\n 113→// Fields:\n 114→// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n 115→// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n 116→// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n 117→// - Checkpoints: Periodic persistence configuration\n 118→// - Debug: Development/profiling options (nil = disabled)\n 119→// - Archive: Long-term storage configuration (nil = disabled)\n 120→// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\n 121→type MetricStoreConfig struct {\n 122→\t// Number of concurrent workers for checkpoint and archive operations.\n 123→\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n 124→\tNumWorkers int `json:\"num-workers\"`\n 125→\tRetentionInMemory string `json:\"retention-in-memory\"`\n 126→\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n 127→\tMemoryCap int `json:\"memory-cap\"`\n 128→\tCheckpoints Checkpoints `json:\"checkpoints\"`\n 129→\tDebug *Debug `json:\"debug\"`\n 130→\tCleanup *Cleanup `json:\"cleanup\"`\n 131→\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n 132→}"}]},"uuid":"4dd0af1c-6396-4ccd-a1d0-07d243594137","timestamp":"2026-03-13T08:01:41.977Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/pkg/metricstore/config.go","content":"// MetricStoreConfig defines the main configuration for the metricstore.\n//\n// Loaded from cc-backend's config.json \"metricstore\" section. Controls memory usage,\n// persistence, archiving, and metric ingestion.\n//\n// Fields:\n// - NumWorkers: Parallel workers for checkpoint/archive (0 = auto: min(NumCPU/2+1, 10))\n// - RetentionInMemory: Duration string (e.g., \"48h\") for in-memory data retention\n// - MemoryCap: Max bytes for buffer data (0 = unlimited); triggers forceFree when exceeded\n// - Checkpoints: Periodic persistence configuration\n// - Debug: Development/profiling options (nil = disabled)\n// - Archive: Long-term storage configuration (nil = disabled)\n// - Subscriptions: NATS topics for metric ingestion (nil = polling only)\ntype MetricStoreConfig struct {\n\t// Number of concurrent workers for checkpoint and archive operations.\n\t// If not set or 0, defaults to min(runtime.NumCPU()/2+1, 10)\n\tNumWorkers int `json:\"num-workers\"`\n\tRetentionInMemory string `json:\"retention-in-memory\"`\n\tCheckpointInterval string `json:\"checkpoint-interval,omitempty\"`\n\tMemoryCap int `json:\"memory-cap\"`\n\tCheckpoints Checkpoints `json:\"checkpoints\"`\n\tDebug *Debug `json:\"debug\"`\n\tCleanup *Cleanup `json:\"cleanup\"`\n\tSubscriptions *Subscriptions `json:\"nats-subscriptions\"`\n}","numLines":25,"startLine":108,"totalLines":255}},"sourceToolAssistantUUID":"1e3a4f8b-0a5f-4dc9-933a-36237b4cece9","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"4dd0af1c-6396-4ccd-a1d0-07d243594137","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WhatmPCUMs1HumqgCUrRkE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HCEXJ2guGau9H3fi2UrU44","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md","old_string":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","new_string":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":74372,"output_tokens":2522,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1033,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjDex3rXF5PJnDh39c5","type":"assistant","uuid":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","timestamp":"2026-03-13T08:02:43.693Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"String to replace not found in file.\nString: # Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","is_error":true,"tool_use_id":"toolu_01HCEXJ2guGau9H3fi2UrU44"}]},"uuid":"5fe996d6-536a-43d6-a676-7acd2dbb2f82","timestamp":"2026-03-13T08:02:43.710Z","toolUseResult":"Error: String to replace not found in file.\nString: # Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the code treats it as GB.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```","sourceToolAssistantUUID":"b26d83fa-6ad3-4dd0-9f7d-6bb3722de0e8","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"type":"file-history-snapshot","messageId":"38de12e3-30e5-41ab-b965-19db7f94a36a","snapshot":{"messageId":"60cd4972-5f77-4739-8e73-65d20918d1f4","trackedFileBackups":{"pkg/metricstore/level.go":{"backupFileName":"52feeb980f794693@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/stats.go":{"backupFileName":"3fe420c4b160c1a8@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/metricstore.go":{"backupFileName":"9d6c8b589b687438@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/api.go":{"backupFileName":"562132bad4f769ab@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/healthcheck.go":{"backupFileName":"29f30693ee65fae3@v2","version":2,"backupTime":"2026-03-13T08:00:54.221Z"},"pkg/metricstore/config.go":{"backupFileName":"614b3f053f832cad@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/checkpoint.go":{"backupFileName":"6cd2cc2f9fa35484@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"pkg/metricstore/configSchema.go":{"backupFileName":"5a1be5ca7fda54fe@v2","version":2,"backupTime":"2026-03-13T08:00:54.222Z"},"/Users/jan/.claude/plans/linear-roaming-glade.md":{"backupFileName":"758d0013a17e5a6c@v1","version":1,"backupTime":"2026-03-13T08:02:51.242Z"}},"timestamp":"2026-03-13T08:00:54.220Z"},"isSnapshotUpdate":true} +{"parentUuid":"5fe996d6-536a-43d6-a676-7acd2dbb2f82","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_0174EGFijckFCJQh7kMA6osu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D4NeYasGG9w3dsgQjE8xNq","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4702,"cache_read_input_tokens":75405,"output_tokens":496,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4702,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjJCtmuZMnBkg9sMb7U","type":"assistant","uuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","timestamp":"2026-03-13T08:02:51.225Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01D4NeYasGG9w3dsgQjE8xNq","toolUseID":"toolu_01D4NeYasGG9w3dsgQjE8xNq","timestamp":"2026-03-13T08:02:51.244Z","uuid":"9f385504-b3bf-4906-8b68-7613655809bc","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"38de12e3-30e5-41ab-b965-19db7f94a36a","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D4NeYasGG9w3dsgQjE8xNq","type":"tool_result","content":"The file /Users/jan/.claude/plans/linear-roaming-glade.md has been updated successfully."}]},"uuid":"bc822ad1-a73f-4d71-a358-6a146ef0f146","timestamp":"2026-03-13T08:02:51.244Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/linear-roaming-glade.md","content":"# Remaining Improvements for Metricstore\n\n## IMPROVEMENT 1: WAL buffering — RECOMMEND\n- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`\n- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall\n- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)\n- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`\n- Flush in `processRotate` (line 178) before Close\n- Flush in defer cleanup (line 126) before Close\n- Flush in `drain()` (line 191) after processing remaining messages\n\n## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)\n- `config.go:116` comment says \"Max bytes\" but code treats it as GB\n- Fix comment to say \"Max memory in GB\"\n\n## Files to modify\n- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain\n- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\"\n\n## NOT recommended now\n- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever\n- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":67,"newStart":1,"newLines":25,"lines":["-# Metricstore In-Depth Review: Bugs & Improvements","+# Remaining Improvements for Metricstore"," ","-## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)","-**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.","+## IMPROVEMENT 1: WAL buffering — RECOMMEND","+- `walFileState` (walCheckpoint.go:110) currently holds only `f *os.File`","+- Each `writeWALRecord` call (line 307) does a raw `f.Write()` syscall","+- Add `w *bufio.Writer` to `walFileState`, wrap `f` on creation (line 163)","+- `writeWALRecord` writes to `bufio.Writer` instead of `*os.File`","+- Flush in `processRotate` (line 178) before Close","+- Flush in defer cleanup (line 126) before Close","+- Flush in `drain()` (line 191) after processing remaining messages"," ","-**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.","+## IMPROVEMENT 3: MemoryCap comment fix — RECOMMEND (trivial)","+- `config.go:116` comment says \"Max bytes\" but code treats it as GB","+- Fix comment to say \"Max memory in GB\""," ","-## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)","-**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).","-","-**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).","-","-## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)","-**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.","-","-**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.","-","-## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)","-**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.","-","-**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.","-","-## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)","-**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.","-","-**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.","-","-## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)","-**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.","-","-**Fix**: Only skip for factor == 1 (identity), not 0.","-","-## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)","-**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.","-","-**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.","-","-## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)","-**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.","-**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.","-","-## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)","-**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.","-**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.","-","-## IMPROVEMENT 3: `MemoryCap` type mismatch","-**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.","-**Fix**: Clarify the unit in docs/config schema; it's actually GB.","-","-## IMPROVEMENT 4: No WAL size limit","-**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.","-**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.","-","----","-"," ## Files to modify","+- `pkg/metricstore/walCheckpoint.go` — IMP 1: add `bufio.Writer` to `walFileState`, use in `writeWALRecord`, flush on rotate/close/drain","+- `pkg/metricstore/config.go:116` — IMP 3: fix comment \"Max bytes\" → \"Max memory in GB\""," ","-- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call","-- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`","-- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`","-- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`","-- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`","-- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)","-- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`","+## NOT recommended now","+- **IMP 4 (WAL size limit)**: High complexity, checkpoint-interval (already configurable) is the simpler lever","+- **Bug 5 (periodic fsync)**: CRC handles corrupt trailing records; WAL is best-effort on top of snapshots"," "," ## Verification"," ```bash"]}],"originalFile":"# Metricstore In-Depth Review: Bugs & Improvements\n\n## BUG 1: `isEmpty()` deadlock risk in `free()` (level.go:209,218)\n**Severity: HIGH** — `free()` holds `l.lock.Lock()` (line 184), then calls `child.free(t)` which acquires `child.lock.Lock()`. Then `child.isEmpty()` (line 209) acquires `child.lock.RLock()` — **re-entrant RLock on a locked RWMutex**. Go's `sync.RWMutex` is NOT reentrant. `child.free()` returns with `child.lock` unlocked (defer), then `isEmpty()` re-locks it — this works. BUT: `isEmpty()` is called on the child right after `child.free()` returns, and `child.free()` already released its lock via defer. Between `child.free()` returning and `isEmpty()` being called, another goroutine could add a new metric to the child, making it appear non-empty. This is a **TOCTOU race** but not a deadlock. However, the real risk is: during the `child.free()` call, child's children may have been pruned, and then `isEmpty()` re-acquires the lock — this is safe but has a race window.\n\n**Fix**: Check emptiness inside `free()` itself, returning a boolean alongside `(int, error)`, so the parent can decide while holding its own lock consistently.\n\n## BUG 2: `stats()` index recalculation after buffer switch (stats.go:40-46)\n**Severity: MEDIUM** — When `idx >= cap(b.data)`, the code does `b = b.next; idx = 0`. This hardcodes idx=0, ignoring the actual timestamp position in the next buffer. If there's a gap between buffers (different start times), `idx=0` is wrong — it reads data from the wrong timestamp. This is the **same bug** that was already fixed in `buffer.read()` (the `TestBufferReadIdxAfterSwitch` test covers read, but NOT stats).\n\n**Fix**: After `b = b.next`, recalculate `idx = int((t - b.start) / b.frequency)` (same as was done in `read()`).\n\n## BUG 3: `FreeAll()` not thread-safe (metricstore.go:756-762)\n**Severity: MEDIUM** — `FreeAll()` iterates and deletes from `m.root.children` without holding `m.root.lock`. Concurrent reads/writes will race.\n\n**Fix**: Wrap in `m.root.lock.Lock()`/`Unlock()`.\n\n## BUG 4: `toCheckpointFile` reads buffer without lock (checkpoint.go:268-299)\n**Severity: MEDIUM** — `toCheckpointFile` holds `l.lock.RLock()` (line 257) protecting `l.metrics`, but the buffer's `iterFromTo` and `read` are called without the buffer's own lock. Concurrent `write()` to the same buffer (from NATS ingestion in `WriteToLevel`) can cause data races because `write()` mutates `b.data` (append) and `b.next` under `l.lock.Lock()` — but `toCheckpointFile` only holds `RLock`. This means a write and a checkpoint read can race on buffer internals.\n\n**Fix**: This is partially mitigated because `read()` and `iterFromTo` only read `b.data` and traverse `b.prev`. The real danger is `b.data` being appended to (which can reallocate the slice) while being read. Since `l.lock.RLock` is held during checkpoint read, and `WriteToLevel` acquires `l.lock.Lock`, they are actually mutually exclusive. **Actually safe** — no fix needed.\n\n## BUG 5: WAL writes not fsynced (walCheckpoint.go:307)\n**Severity: LOW** — `writeWALRecord` does `f.Write()` without `f.Sync()`. On crash, WAL records may be lost even though they were \"written\". The CRC check on replay handles corrupt trailing records gracefully, but recent data can be silently lost.\n\n**Fix**: Consider periodic `f.Sync()` (e.g., every N records or on a timer) rather than per-record fsync for performance.\n\n## BUG 6: `ScaleBy(0)` is a no-op (api.go:131)\n**Severity: LOW** — `ScaleBy` returns early when factor is 0, but scaling by 0 should zero out data. The comment says \"for performance\" but the semantics are wrong.\n\n**Fix**: Only skip for factor == 1 (identity), not 0.\n\n## BUG 7: `collectMetricStatus` panics on unknown metric (healthcheck.go:69-70)\n**Severity: MEDIUM** — If `expectedMetrics` contains a metric name not present in `m.Metrics`, `mc := m.Metrics[metricName]` returns zero-value MetricConfig with `offset=0`, then `l.metrics[mc.offset]` accesses index 0 which may belong to a different metric. No panic, but **wrong metric data** is checked for health status.\n\n**Fix**: Check `_, ok := m.Metrics[metricName]` and skip unknown metrics.\n\n## IMPROVEMENT 1: WAL buffering (walCheckpoint.go:167-176)\n**Current**: Each WAL message results in a separate `f.Write()` syscall. With thousands of metrics per second, this is excessive.\n**Fix**: Use a `bufio.Writer` per host WAL file, flushing periodically or on rotation.\n\n## IMPROVEMENT 2: Checkpoint interval hardcoded (checkpoint.go:103)\n**Current**: `const checkpointInterval = 12 * time.Hour` — not configurable.\n**Fix**: Add optional `CheckpointInterval string` to `MetricStoreConfig` (json: `\"checkpoint-interval\",omitempty`). Default to `12h` when empty/unset. Parse with `time.ParseDuration` in `Checkpointing()`.\n\n## IMPROVEMENT 3: `MemoryCap` type mismatch\n**Current**: `MemoryCap int` in config (bytes implied) but compared as GB: `float64(Keys.MemoryCap)` vs `actualMemoryGB`. If user sets `\"memory-cap\": 32`, it means 32 GB, not 32 bytes. The config comment says \"bytes\" but the code treats it as GB.\n**Fix**: Clarify the unit in docs/config schema; it's actually GB.\n\n## IMPROVEMENT 4: No WAL size limit\n**Current**: WAL files grow unbounded between checkpoints (12h). If ingestion rate is high, WAL files can consume significant disk space and slow replay.\n**Fix**: Add configurable WAL size limit; trigger checkpoint when exceeded.\n\n---\n\n## Files to modify\n\n- `pkg/metricstore/level.go` — Bug 1: `free()` returns `(int, bool, error)` where bool=isEmpty; remove separate `isEmpty()` call\n- `pkg/metricstore/stats.go:46` — Bug 2: recalculate `idx = int((t - b.start) / b.frequency)` after `b = b.next`\n- `pkg/metricstore/metricstore.go:756` — Bug 3: wrap `FreeAll()` body in `m.root.lock.Lock()`/`Unlock()`\n- `pkg/metricstore/api.go:131` — Bug 6: change `f == 0 || f == 1` to `f == 1`\n- `pkg/metricstore/healthcheck.go:69` — Bug 7: add `mc, ok := m.Metrics[metricName]; if !ok { continue }`\n- `pkg/metricstore/config.go` — Improvement 2: add optional `CheckpointInterval string` field (json `\"checkpoint-interval,omitempty\"`)\n- `pkg/metricstore/checkpoint.go:103` — Improvement 2: use `Keys.CheckpointInterval` if set, else default `12h`\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"sourceToolAssistantUUID":"38de12e3-30e5-41ab-b965-19db7f94a36a","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"bc822ad1-a73f-4d71-a358-6a146ef0f146","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_018bGCx5RWVye6eNxL2Qf8RY","type":"message","role":"assistant","content":[{"type":"text","text":"Here's my recommendation on the remaining improvements:\n\n**Implement:**\n- **Improvement 1 (WAL buffering)** — Each WAL write currently does a raw `f.Write()` syscall. With thousands of metrics/sec, this is excessive I/O. Adding a `bufio.Writer` per host WAL file is straightforward (the `walFileState` struct and single-threaded goroutine make it clean) and gives significant throughput improvement.\n- **Improvement 3 (MemoryCap comment)** — Trivial one-line fix. The struct comment says \"bytes\" but the code compares against GB.\n\n**Skip for now:**\n- **Improvement 4 (WAL size limit)** — High complexity (size tracking per host, mid-cycle checkpoint triggers, goroutine coordination). The checkpoint interval is now configurable, which is the simpler lever to reduce WAL accumulation.\n- **Bug 5 (periodic fsync)** — CRC validation already handles corrupt trailing records on replay. The WAL is best-effort crash recovery on top of binary snapshots. 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WAL is best-effort on top of snapshots\n\n## Verification\n```bash\ngo test ./pkg/metricstore/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1002,"cache_read_input_tokens":80733,"output_tokens":39,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1002,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYzjKQ9Uh4DM3TodAfjNC","type":"assistant","uuid":"ee1ae455-39b2-4008-8b60-51ce5b7aabc9","timestamp":"2026-03-13T08:03:03.126Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"f12048ec-dcf9-4d07-a9c1-0916c9882538","version":"2.1.74","gitBranch":"hotfix","slug":"linear-roaming-glade"} +{"parentUuid":"ee1ae455-39b2-4008-8b60-51ce5b7aabc9","isSidechain":false,"promptId":"5f4feea4-c535-43c4-b8a0-870df0f56606","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.","is_error":true,"tool_use_id":"toolu_01MoEHmJVmP3httRUGuGJ2L5"}]},"uuid":"152ce547-ff56-4a3f-9237-d8098c3e4c70","timestamp":"2026-03-13T08:03:08.334Z","toolUseResult":"Error: The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). 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This is the endpoint http://localhost:8080/monitoring/users/?cluster=woody&startTime=last30d . Check again the query and find improvements."},"uuid":"4a0082bc-6d63-45f6-ae39-7f7345e0c7d1","timestamp":"2026-03-12T11:44:53.811Z","permissionMode":"plan"} 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+{"parentUuid":"8c698a29-2e88-4863-92ad-6e9203a0e5f1","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","message":{"model":"claude-opus-4-6","id":"msg_013WfRAEbaNeUquoVGrRgUjj","type":"message","role":"assistant","content":[{"type":"text","text":"Let me explore the stats query code and the relevant endpoint to understand the performance issue."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":5466,"cache_read_input_tokens":14245,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5466},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYy8RyHNWHu3gqEWb1Y2g","type":"assistant","uuid":"18621cda-7cb8-45d4-b9bb-e86cd0824334","timestamp":"2026-03-12T11:44:57.216Z"} 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+{"parentUuid":"e90b48b8-f92a-46e7-bfe4-5dcf8dbd69ad","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01WrhmG3Zz7AHYaLZ3wqwxdp","toolUseID":"toolu_01WrhmG3Zz7AHYaLZ3wqwxdp","timestamp":"2026-03-12T11:44:58.115Z","uuid":"7b7eeb54-b4a0-4053-9506-2454776bc9f1"} +{"parentUuid":"e90b48b8-f92a-46e7-bfe4-5dcf8dbd69ad","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WrhmG3Zz7AHYaLZ3wqwxdp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"testing\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 13→)\n 14→\n 15→func TestBuildJobStatsQuery(t *testing.T) {\n 16→\tr := setup(t)\n 17→\tq := r.buildStatsQuery(nil, \"USER\", 300, nil)\n 18→\n 19→\tsql, _, err := q.ToSql()\n 20→\tnoErr(t, err)\n 21→\n 22→\tfmt.Printf(\"SQL: %s\\n\", sql)\n 23→}\n 24→\n 25→func TestJobStats(t *testing.T) {\n 26→\tr := setup(t)\n 27→\n 28→\tvar expectedCount int\n 29→\terr := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount)\n 30→\tnoErr(t, err)\n 31→\n 32→\tstats, err := r.JobsStats(getContext(t), []*model.JobFilter{}, nil)\n 33→\tnoErr(t, err)\n 34→\n 35→\tif stats[0].TotalJobs != expectedCount {\n 36→\t\tt.Fatalf(\"Want %d, Got %d\", expectedCount, stats[0].TotalJobs)\n 37→\t}\n 38→}\n 39→"}]},"uuid":"63576920-13e3-49d7-b96a-e5351364a479","timestamp":"2026-03-12T11:44:58.114Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"fmt\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\nfunc TestBuildJobStatsQuery(t *testing.T) {\n\tr := setup(t)\n\tq := r.buildStatsQuery(nil, \"USER\", 300, nil)\n\n\tsql, _, err := q.ToSql()\n\tnoErr(t, err)\n\n\tfmt.Printf(\"SQL: %s\\n\", sql)\n}\n\nfunc TestJobStats(t *testing.T) {\n\tr := setup(t)\n\n\tvar expectedCount int\n\terr := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount)\n\tnoErr(t, err)\n\n\tstats, err := r.JobsStats(getContext(t), []*model.JobFilter{}, nil)\n\tnoErr(t, err)\n\n\tif stats[0].TotalJobs != expectedCount {\n\t\tt.Fatalf(\"Want %d, Got %d\", expectedCount, stats[0].TotalJobs)\n\t}\n}\n","numLines":39,"startLine":1,"totalLines":39}},"sourceToolAssistantUUID":"e90b48b8-f92a-46e7-bfe4-5dcf8dbd69ad"} +{"parentUuid":"63576920-13e3-49d7-b96a-e5351364a479","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01VJYhDpez1AkDGAkYWJjvBp","toolUseID":"toolu_01VJYhDpez1AkDGAkYWJjvBp","timestamp":"2026-03-12T11:44:58.436Z","uuid":"5d0a9c77-2d6d-465a-94a3-0fabd6e4a162"} +{"parentUuid":"52cf1c20-0092-4eb8-8122-36566a1a74c8","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VJYhDpez1AkDGAkYWJjvBp","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(job.id) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}\n 229→\n 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tstart := time.Now()\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→\treqFields map[string]bool,\n 351→) ([]*model.JobsStatistics, error) {\n 352→\tstart := time.Now()\n 353→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 354→\tquery, err := SecurityCheck(ctx, query)\n 355→\tif err != nil {\n 356→\t\treturn nil, err\n 357→\t}\n 358→\n 359→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 360→\tstats := make([]*model.JobsStatistics, 0, 1)\n 361→\n 362→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 363→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 364→\t\tcclog.Warn(\"Error while scanning rows\")\n 365→\t\treturn nil, err\n 366→\t}\n 367→\n 368→\tif jobs.Valid {\n 369→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 370→\n 371→\t\tif nodeHours.Valid {\n 372→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 373→\t\t}\n 374→\t\tif coreHours.Valid {\n 375→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 376→\t\t}\n 377→\t\tif accHours.Valid {\n 378→\t\t\ttotalAccHours = int(accHours.Int64)\n 379→\t\t}\n 380→\t\tstats = append(stats,\n 381→\t\t\t&model.JobsStatistics{\n 382→\t\t\t\tTotalJobs: int(jobs.Int64),\n 383→\t\t\t\tTotalUsers: int(users.Int64),\n 384→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 385→\t\t\t\tTotalNodeHours: totalNodeHours,\n 386→\t\t\t\tTotalCoreHours: totalCoreHours,\n 387→\t\t\t\tTotalAccHours: totalAccHours,\n 388→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 389→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 390→\t\t\t})\n 391→\t}\n 392→\n 393→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 394→\treturn stats, nil\n 395→}\n 396→\n 397→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 398→// Returns 0.0 if the metric is not found or statType is invalid.\n 399→//\n 400→// Parameters:\n 401→// - job: Job struct with populated Statistics field\n 402→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 403→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 404→//\n 405→// Returns the requested statistic value or 0.0 if not found.\n 406→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 407→\tif stats, ok := job.Statistics[metric]; ok {\n 408→\t\tswitch statType {\n 409→\t\tcase \"avg\":\n 410→\t\t\treturn stats.Avg\n 411→\t\tcase \"max\":\n 412→\t\t\treturn stats.Max\n 413→\t\tcase \"min\":\n 414→\t\t\treturn stats.Min\n 415→\t\tdefault:\n 416→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 417→\t\t}\n 418→\t}\n 419→\n 420→\treturn 0.0\n 421→}\n 422→\n 423→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 424→//\n 425→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 426→// avoiding the overhead of calculating walltime and resource usage metrics.\n 427→//\n 428→// Parameters:\n 429→// - ctx: Context for security checks\n 430→// - filter: Filters to apply\n 431→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 432→//\n 433→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 434→func (r *JobRepository) JobCountGrouped(\n 435→\tctx context.Context,\n 436→\tfilter []*model.JobFilter,\n 437→\tgroupBy *model.Aggregate,\n 438→) ([]*model.JobsStatistics, error) {\n 439→\tstart := time.Now()\n 440→\tcol := groupBy2column[*groupBy]\n 441→\tquery := r.buildCountQuery(filter, \"\", col)\n 442→\tquery, err := SecurityCheck(ctx, query)\n 443→\tif err != nil {\n 444→\t\treturn nil, err\n 445→\t}\n 446→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 447→\tif err != nil {\n 448→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 449→\t\treturn nil, err\n 450→\t}\n 451→\tdefer rows.Close()\n 452→\n 453→\tstats := make([]*model.JobsStatistics, 0, 100)\n 454→\n 455→\tfor rows.Next() {\n 456→\t\tvar id sql.NullString\n 457→\t\tvar cnt sql.NullInt64\n 458→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 459→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 460→\t\t\treturn nil, err\n 461→\t\t}\n 462→\t\tif id.Valid {\n 463→\t\t\tstats = append(stats,\n 464→\t\t\t\t&model.JobsStatistics{\n 465→\t\t\t\t\tID: id.String,\n 466→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 467→\t\t\t\t})\n 468→\t\t}\n 469→\t}\n 470→\n 471→\tif err := rows.Err(); err != nil {\n 472→\t\treturn nil, err\n 473→\t}\n 474→\n 475→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 476→\treturn stats, nil\n 477→}\n 478→\n 479→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 480→//\n 481→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 482→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 483→//\n 484→// Parameters:\n 485→// - ctx: Context for security checks\n 486→// - filter: Filters to apply\n 487→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 488→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 489→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 490→//\n 491→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 492→// Groups without matching jobs will have 0 for the added field.\n 493→func (r *JobRepository) AddJobCountGrouped(\n 494→\tctx context.Context,\n 495→\tfilter []*model.JobFilter,\n 496→\tgroupBy *model.Aggregate,\n 497→\tstats []*model.JobsStatistics,\n 498→\tkind string,\n 499→) ([]*model.JobsStatistics, error) {\n 500→\tstart := time.Now()\n 501→\tcol := groupBy2column[*groupBy]\n 502→\tquery := r.buildCountQuery(filter, kind, col)\n 503→\tquery, err := SecurityCheck(ctx, query)\n 504→\tif err != nil {\n 505→\t\treturn nil, err\n 506→\t}\n 507→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 508→\tif err != nil {\n 509→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 510→\t\treturn nil, err\n 511→\t}\n 512→\tdefer rows.Close()\n 513→\n 514→\tcounts := make(map[string]int)\n 515→\n 516→\tfor rows.Next() {\n 517→\t\tvar id sql.NullString\n 518→\t\tvar cnt sql.NullInt64\n 519→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 520→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 521→\t\t\treturn nil, err\n 522→\t\t}\n 523→\t\tif id.Valid {\n 524→\t\t\tcounts[id.String] = int(cnt.Int64)\n 525→\t\t}\n 526→\t}\n 527→\n 528→\tif err := rows.Err(); err != nil {\n 529→\t\treturn nil, err\n 530→\t}\n 531→\n 532→\tswitch kind {\n 533→\tcase \"running\":\n 534→\t\tfor _, s := range stats {\n 535→\t\t\ts.RunningJobs = counts[s.ID]\n 536→\t\t}\n 537→\tcase \"short\":\n 538→\t\tfor _, s := range stats {\n 539→\t\t\ts.ShortJobs = counts[s.ID]\n 540→\t\t}\n 541→\t}\n 542→\n 543→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 544→\treturn stats, nil\n 545→}\n 546→\n 547→// AddJobCount augments existing overall statistics with additional job counts by category.\n 548→//\n 549→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 550→// to all statistics entries (typically just one).\n 551→//\n 552→// Parameters:\n 553→// - ctx: Context for security checks\n 554→// - filter: Filters to apply\n 555→// - stats: Existing statistics to augment (modified in-place)\n 556→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 557→//\n 558→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 559→func (r *JobRepository) AddJobCount(\n 560→\tctx context.Context,\n 561→\tfilter []*model.JobFilter,\n 562→\tstats []*model.JobsStatistics,\n 563→\tkind string,\n 564→) ([]*model.JobsStatistics, error) {\n 565→\tstart := time.Now()\n 566→\tquery := r.buildCountQuery(filter, kind, \"\")\n 567→\tquery, err := SecurityCheck(ctx, query)\n 568→\tif err != nil {\n 569→\t\treturn nil, err\n 570→\t}\n 571→\tvar cnt sql.NullInt64\n 572→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 573→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 574→\t\treturn nil, err\n 575→\t}\n 576→\n 577→\tcount := int(cnt.Int64)\n 578→\n 579→\tswitch kind {\n 580→\tcase \"running\":\n 581→\t\tfor _, s := range stats {\n 582→\t\t\ts.RunningJobs = count\n 583→\t\t}\n 584→\tcase \"short\":\n 585→\t\tfor _, s := range stats {\n 586→\t\t\ts.ShortJobs = count\n 587→\t\t}\n 588→\t}\n 589→\n 590→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 591→\treturn stats, nil\n 592→}\n 593→\n 594→// AddHistograms augments statistics with distribution histograms for job properties.\n 595→//\n 596→// Generates histogram data for visualization of job duration, node count, core count,\n 597→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 598→// on the requested resolution.\n 599→//\n 600→// Parameters:\n 601→// - ctx: Context for security checks\n 602→// - filter: Filters to apply to jobs included in histograms\n 603→// - stat: Statistics struct to augment (modified in-place)\n 604→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 605→//\n 606→// Populates these fields in stat:\n 607→// - HistDuration: Job duration distribution (zero-padded bins)\n 608→// - HistNumNodes: Node count distribution\n 609→// - HistNumCores: Core (hwthread) count distribution\n 610→// - HistNumAccs: Accelerator count distribution\n 611→//\n 612→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 613→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 614→func (r *JobRepository) AddHistograms(\n 615→\tctx context.Context,\n 616→\tfilter []*model.JobFilter,\n 617→\tstat *model.JobsStatistics,\n 618→\tdurationBins *string,\n 619→) (*model.JobsStatistics, error) {\n 620→\tstart := time.Now()\n 621→\n 622→\tvar targetBinCount int\n 623→\tvar targetBinSize int\n 624→\tswitch *durationBins {\n 625→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 626→\t\ttargetBinCount = 60\n 627→\t\ttargetBinSize = 60\n 628→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 629→\t\ttargetBinCount = 72\n 630→\t\ttargetBinSize = 600\n 631→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 632→\t\ttargetBinCount = 48\n 633→\t\ttargetBinSize = 3600\n 634→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 635→\t\ttargetBinCount = 12\n 636→\t\ttargetBinSize = 21600\n 637→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 638→\t\ttargetBinCount = 14\n 639→\t\ttargetBinSize = 43200\n 640→\tdefault: // 24h\n 641→\t\ttargetBinCount = 24\n 642→\t\ttargetBinSize = 3600\n 643→\t}\n 644→\n 645→\tvar err error\n 646→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 649→\tif err != nil {\n 650→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 651→\t\treturn nil, err\n 652→\t}\n 653→\n 654→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 655→\tif err != nil {\n 656→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 657→\t\treturn nil, err\n 658→\t}\n 659→\n 660→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 661→\tif err != nil {\n 662→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 663→\t\treturn nil, err\n 664→\t}\n 665→\n 666→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 667→\tif err != nil {\n 668→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 669→\t\treturn nil, err\n 670→\t}\n 671→\n 672→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 673→\treturn stat, nil\n 674→}\n 675→\n 676→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 677→//\n 678→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 679→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 680→// use footprint data from database.\n 681→//\n 682→// Parameters:\n 683→// - ctx: Context for security checks\n 684→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 685→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 686→// - stat: Statistics struct to augment (modified in-place)\n 687→// - targetBinCount: Number of histogram bins (default: 10)\n 688→//\n 689→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 690→//\n 691→// Binning algorithm:\n 692→// - Values normalized to metric's peak value from cluster configuration\n 693→// - Bins evenly distributed from 0 to peak\n 694→// - Pre-initialized with zeros for consistent visualization\n 695→//\n 696→// Limitations:\n 697→// - Running jobs: Limited to 5000 jobs for performance\n 698→// - Requires valid cluster configuration with metric peak values\n 699→// - Uses footprint statistic (avg/max/min) configured per metric\n 700→func (r *JobRepository) AddMetricHistograms(\n 701→\tctx context.Context,\n 702→\tfilter []*model.JobFilter,\n 703→\tmetrics []string,\n 704→\tstat *model.JobsStatistics,\n 705→\ttargetBinCount *int,\n 706→) (*model.JobsStatistics, error) {\n 707→\tstart := time.Now()\n 708→\n 709→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 710→\tfor _, f := range filter {\n 711→\t\tif f.State != nil {\n 712→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 713→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 714→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 715→\t\t\t\treturn stat, nil\n 716→\t\t\t}\n 717→\t\t}\n 718→\t}\n 719→\n 720→\t// All other cases: Query and make bins in sqlite directly\n 721→\tfor _, m := range metrics {\n 722→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 723→\t\tif err != nil {\n 724→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 725→\t\t\tcontinue\n 726→\t\t}\n 727→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 728→\t}\n 729→\n 730→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 731→\treturn stat, nil\n 732→}\n 733→\n 734→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 735→//\n 736→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 737→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 738→//\n 739→// Parameters:\n 740→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 741→// - filters: Job filters to apply\n 742→//\n 743→// Returns histogram points with Value (from column) and Count (number of jobs).\n 744→func (r *JobRepository) jobsStatisticsHistogram(\n 745→\tctx context.Context,\n 746→\tvalue string,\n 747→\tfilters []*model.JobFilter,\n 748→) ([]*model.HistoPoint, error) {\n 749→\tstart := time.Now()\n 750→\tquery, qerr := SecurityCheck(ctx,\n 751→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 752→\n 753→\tif qerr != nil {\n 754→\t\treturn nil, qerr\n 755→\t}\n 756→\n 757→\tfor _, f := range filters {\n 758→\t\tquery = BuildWhereClause(f, query)\n 759→\t}\n 760→\n 761→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 762→\tif err != nil {\n 763→\t\tcclog.Error(\"Error while running query\")\n 764→\t\treturn nil, err\n 765→\t}\n 766→\tdefer rows.Close()\n 767→\n 768→\tpoints := make([]*model.HistoPoint, 0)\n 769→\t// is it possible to introduce zero values here? requires info about bincount\n 770→\tfor rows.Next() {\n 771→\t\tpoint := model.HistoPoint{}\n 772→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 773→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 774→\t\t\treturn nil, err\n 775→\t\t}\n 776→\n 777→\t\tpoints = append(points, &point)\n 778→\t}\n 779→\n 780→\tif err := rows.Err(); err != nil {\n 781→\t\treturn nil, err\n 782→\t}\n 783→\n 784→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 785→\treturn points, nil\n 786→}\n 787→\n 788→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 789→//\n 790→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 791→// histograms which only return bins with data. The value parameter should compute\n 792→// the bin number from job duration.\n 793→//\n 794→// Parameters:\n 795→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 796→// - filters: Job filters to apply\n 797→// - binSizeSeconds: Width of each bin in seconds\n 798→// - targetBinCount: Number of bins to pre-initialize\n 799→//\n 800→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 801→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 802→//\n 803→// Algorithm:\n 804→// 1. Pre-initialize targetBinCount bins with zero counts\n 805→// 2. Query database for actual counts per bin\n 806→// 3. Match query results to pre-initialized bins by value\n 807→// 4. Bins without matches remain at zero\n 808→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 809→\tctx context.Context,\n 810→\tvalue string,\n 811→\tfilters []*model.JobFilter,\n 812→\tbinSizeSeconds int,\n 813→\ttargetBinCount *int,\n 814→) ([]*model.HistoPoint, error) {\n 815→\tstart := time.Now()\n 816→\tquery, qerr := SecurityCheck(ctx,\n 817→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 818→\n 819→\tif qerr != nil {\n 820→\t\treturn nil, qerr\n 821→\t}\n 822→\n 823→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 824→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 825→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 826→\tfor i := 1; i <= *targetBinCount; i++ {\n 827→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 828→\t\tpoints = append(points, &point)\n 829→\t}\n 830→\n 831→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 832→\tbinMap := make(map[int]int, len(points))\n 833→\tfor i, p := range points {\n 834→\t\tbinMap[p.Value] = i\n 835→\t}\n 836→\n 837→\tfor _, f := range filters {\n 838→\t\tquery = BuildWhereClause(f, query)\n 839→\t}\n 840→\n 841→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 842→\tif err != nil {\n 843→\t\tcclog.Error(\"Error while running query\")\n 844→\t\treturn nil, err\n 845→\t}\n 846→\tdefer rows.Close()\n 847→\n 848→\t// Match query results to pre-initialized bins using map lookup.\n 849→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 850→\tfor rows.Next() {\n 851→\t\tpoint := model.HistoPoint{}\n 852→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 853→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 854→\t\t\treturn nil, err\n 855→\t\t}\n 856→\n 857→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 858→\t\t\tpoints[idx].Count = point.Count\n 859→\t\t}\n 860→\t}\n 861→\n 862→\tif err := rows.Err(); err != nil {\n 863→\t\treturn nil, err\n 864→\t}\n 865→\n 866→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 867→\treturn points, nil\n 868→}\n 869→\n 870→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 871→//\n 872→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 873→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 874→// and computing bin assignments in SQL.\n 875→//\n 876→// Parameters:\n 877→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 878→// - filters: Job filters to apply\n 879→// - bins: Number of bins to generate\n 880→//\n 881→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 882→//\n 883→// Algorithm:\n 884→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 885→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 886→// 3. Pre-initialize bins with min/max ranges based on peak value\n 887→// 4. Query database for counts per bin\n 888→// 5. Match results to pre-initialized bins\n 889→//\n 890→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 891→// peak by 0.999999999 to avoid creating an extra bin.\n 892→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 893→\tctx context.Context,\n 894→\tmetric string,\n 895→\tfilters []*model.JobFilter,\n 896→\tbins *int,\n 897→) (*model.MetricHistoPoints, error) {\n 898→\t// Peak value defines the upper bound for binning: values are distributed across\n 899→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 900→\t// scan all clusters to find the maximum peak value.\n 901→\tvar metricConfig *schema.MetricConfig\n 902→\tvar peak float64\n 903→\tvar unit string\n 904→\tvar footprintStat string\n 905→\n 906→\t// Try to get metric config from filtered cluster\n 907→\tfor _, f := range filters {\n 908→\t\tif f.Cluster != nil {\n 909→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 910→\t\t\tpeak = metricConfig.Peak\n 911→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 912→\t\t\tfootprintStat = metricConfig.Footprint\n 913→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 914→\t\t}\n 915→\t}\n 916→\n 917→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 918→\t// This ensures histogram can accommodate all possible values\n 919→\tif peak == 0.0 {\n 920→\t\tfor _, c := range archive.Clusters {\n 921→\t\t\tfor _, m := range c.MetricConfig {\n 922→\t\t\t\tif m.Name == metric {\n 923→\t\t\t\t\tif m.Peak > peak {\n 924→\t\t\t\t\t\tpeak = m.Peak\n 925→\t\t\t\t\t}\n 926→\t\t\t\t\tif unit == \"\" {\n 927→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 928→\t\t\t\t\t}\n 929→\t\t\t\t\tif footprintStat == \"\" {\n 930→\t\t\t\t\t\tfootprintStat = m.Footprint\n 931→\t\t\t\t\t}\n 932→\t\t\t\t}\n 933→\t\t\t}\n 934→\t\t}\n 935→\t}\n 936→\n 937→\t// Construct SQL histogram bins using normalized values.\n 938→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 939→\tstart := time.Now()\n 940→\n 941→\t// Bin calculation formula:\n 942→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 943→\t// Special case: value == peak would create bin N+1, so we test for equality\n 944→\t// and multiply peak by 0.999999999 to force it into bin N.\n 945→\tbinQuery := fmt.Sprintf(`CAST(\n 946→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 947→\t\t* %v as INTEGER )`,\n 948→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 949→\n 950→\tmainQuery := sq.Select(\n 951→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 952→\t\t`count(*) as count`,\n 953→\t).From(\"job\").Where(\n 954→\t\t\"JSON_VALID(footprint)\",\n 955→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 956→\n 957→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 958→\tif qerr != nil {\n 959→\t\treturn nil, qerr\n 960→\t}\n 961→\n 962→\tfor _, f := range filters {\n 963→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 964→\t}\n 965→\n 966→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 967→\n 968→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 969→\tif err != nil {\n 970→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 971→\t\treturn nil, err\n 972→\t}\n 973→\tdefer rows.Close()\n 974→\n 975→\t// Pre-initialize bins with calculated min/max ranges.\n 976→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 977→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 978→\tbinStep := int(peak) / *bins\n 979→\tfor i := 1; i <= *bins; i++ {\n 980→\t\tbinMin := (binStep * (i - 1))\n 981→\t\tbinMax := (binStep * i)\n 982→\t\tidx := i\n 983→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 984→\t\tpoints = append(points, &epoint)\n 985→\t}\n 986→\n 987→\t// Build a map from bin number to slice index for O(1) lookup.\n 988→\tbinMap := make(map[int]int, len(points))\n 989→\tfor i, p := range points {\n 990→\t\tif p.Bin != nil {\n 991→\t\t\tbinMap[*p.Bin] = i\n 992→\t\t}\n 993→\t}\n 994→\n 995→\t// Match query results to pre-initialized bins using map lookup.\n 996→\tfor rows.Next() {\n 997→\t\trpoint := model.MetricHistoPoint{}\n 998→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 999→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1000→\t\t\treturn nil, err\n 1001→\t\t}\n 1002→\n 1003→\t\tif rpoint.Bin != nil {\n 1004→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1005→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1006→\t\t\t}\n 1007→\t\t}\n 1008→\t}\n 1009→\n 1010→\tif err := rows.Err(); err != nil {\n 1011→\t\treturn nil, err\n 1012→\t}\n 1013→\n 1014→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1015→\n 1016→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1017→\treturn &result, nil\n 1018→}\n 1019→\n 1020→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1021→//\n 1022→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1023→// fetching current metric averages from the metric backend (via metricdispatch).\n 1024→//\n 1025→// Parameters:\n 1026→// - metrics: List of metric names\n 1027→// - filters: Job filters (should filter to running jobs only)\n 1028→// - bins: Number of histogram bins\n 1029→//\n 1030→// Returns slice of MetricHistoPoints, one per metric.\n 1031→//\n 1032→// Limitations:\n 1033→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1034→// - Requires metric backend availability\n 1035→// - Bins based on metric peak values from cluster configuration\n 1036→//\n 1037→// Algorithm:\n 1038→// 1. Query first 5001 jobs to check count limit\n 1039→// 2. Load metric averages for all jobs via metricdispatch\n 1040→// 3. For each metric, create bins based on peak value\n 1041→// 4. Iterate averages and count jobs per bin\n 1042→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1043→\tctx context.Context,\n 1044→\tmetrics []string,\n 1045→\tfilters []*model.JobFilter,\n 1046→\tbins *int,\n 1047→) []*model.MetricHistoPoints {\n 1048→\t// Get Jobs\n 1049→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1050→\tif err != nil {\n 1051→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1052→\t\treturn nil\n 1053→\t}\n 1054→\tif len(jobs) > 5000 {\n 1055→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1056→\t\treturn nil\n 1057→\t}\n 1058→\n 1059→\t// Get AVGs from metric repo\n 1060→\tavgs := make([][]schema.Float, len(metrics))\n 1061→\tfor i := range avgs {\n 1062→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1063→\t}\n 1064→\n 1065→\tfor _, job := range jobs {\n 1066→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1067→\t\t\tcontinue\n 1068→\t\t}\n 1069→\n 1070→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1071→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1072→\t\t\treturn nil\n 1073→\t\t}\n 1074→\t}\n 1075→\n 1076→\t// Iterate metrics to fill endresult\n 1077→\tdata := make([]*model.MetricHistoPoints, 0)\n 1078→\tfor idx, metric := range metrics {\n 1079→\t\t// Get specific Peak or largest Peak\n 1080→\t\tvar metricConfig *schema.MetricConfig\n 1081→\t\tvar peak float64\n 1082→\t\tvar unit string\n 1083→\n 1084→\t\tfor _, f := range filters {\n 1085→\t\t\tif f.Cluster != nil {\n 1086→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1087→\t\t\t\tpeak = metricConfig.Peak\n 1088→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1089→\t\t\t}\n 1090→\t\t}\n 1091→\n 1092→\t\tif peak == 0.0 {\n 1093→\t\t\tfor _, c := range archive.Clusters {\n 1094→\t\t\t\tfor _, m := range c.MetricConfig {\n 1095→\t\t\t\t\tif m.Name == metric {\n 1096→\t\t\t\t\t\tif m.Peak > peak {\n 1097→\t\t\t\t\t\t\tpeak = m.Peak\n 1098→\t\t\t\t\t\t}\n 1099→\t\t\t\t\t\tif unit == \"\" {\n 1100→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1101→\t\t\t\t\t\t}\n 1102→\t\t\t\t\t}\n 1103→\t\t\t\t}\n 1104→\t\t\t}\n 1105→\t\t}\n 1106→\n 1107→\t\t// Make and fill bins\n 1108→\t\tpeakBin := int(peak) / *bins\n 1109→\n 1110→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1111→\t\tfor b := 0; b < *bins; b++ {\n 1112→\t\t\tcount := 0\n 1113→\t\t\tbindex := b + 1\n 1114→\t\t\tbmin := peakBin * b\n 1115→\t\t\tbmax := peakBin * (b + 1)\n 1116→\n 1117→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1118→\t\t\tfor _, val := range avgs[idx] {\n 1119→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1120→\t\t\t\t\tcount += 1\n 1121→\t\t\t\t}\n 1122→\t\t\t}\n 1123→\n 1124→\t\t\t// Append Bin to Metric Result Array\n 1125→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1126→\t\t\tpoints = append(points, &point)\n 1127→\t\t}\n 1128→\n 1129→\t\t// Append Metric Result Array to final results array\n 1130→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1131→\t\tdata = append(data, &result)\n 1132→\t}\n 1133→\n 1134→\treturn data\n 1135→}\n 1136→"}]},"uuid":"3a60dd95-a8c5-4db3-8231-416cd742a565","timestamp":"2026-03-12T11:44:58.436Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(job.id) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","numLines":1136,"startLine":1,"totalLines":1136}},"sourceToolAssistantUUID":"52cf1c20-0092-4eb8-8122-36566a1a74c8"} 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index for grouped stats queries\n 2→-- Covers the common pattern: WHERE cluster=X AND start_time >= Y GROUP BY hpc_user\n 3→-- Includes aggregated columns to avoid main table lookups entirely.\n 4→\n 5→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime_user_stats\n 6→ ON job (cluster, start_time, hpc_user, duration, job_state, num_nodes, num_hwthreads, num_acc);\n 7→\n 8→PRAGMA optimize;\n 9→"}]},"uuid":"b163bfcc-1de1-46ce-b4f6-d93a533ce743","timestamp":"2026-03-12T11:45:01.863Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/12_stats-covering-index.up.sql","content":"-- Migration 12: Add covering index for grouped stats queries\n-- Covers the common pattern: WHERE cluster=X AND start_time >= Y GROUP BY hpc_user\n-- Includes aggregated columns to avoid main table lookups entirely.\n\nCREATE INDEX IF NOT EXISTS jobs_cluster_starttime_user_stats\n ON job (cluster, start_time, hpc_user, duration, job_state, 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I need to understand:\n1. What GraphQL query is made when visiting `/monitoring/users/?cluster=woody&startTime=last30d`\n2. What filters are passed to buildStatsQuery\n3. What the BuildWhereClause function does (in internal/repository/)\n4. What indexes exist on the job table (check migration files in internal/repository/migrations/sqlite3/)\n5. The schema of the job table\n\nBe thorough - check the frontend Svelte files (web/frontend/src/List.root.svelte), GraphQL schema (api/schema.graphqls), resolvers (internal/graph/schema.resolvers.go), and the filter/where clause builder."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":491,"cache_creation_input_tokens":16199,"cache_read_input_tokens":19711,"output_tokens":388,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":16199},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYy8SFaQ4SKr1uracTvJL","type":"assistant","uuid":"ddc8fdb6-a88e-4698-8001-c60c67c34a95","timestamp":"2026-03-12T11:45:07.271Z"} +{"parentUuid":"ddc8fdb6-a88e-4698-8001-c60c67c34a95","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"58f4c52d-9eb5-4f7c-9c2b-c7b4015432dd","timestamp":"2026-03-12T11:45:07.272Z"} +{"parentUuid":"58f4c52d-9eb5-4f7c-9c2b-c7b4015432dd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"In /Users/jan/prg/ClusterCockpit/cc-backend, find all code that calls JobsStatsGrouped or leads to the `/monitoring/users/` endpoint. I need to understand:\n1. What GraphQL query is made when visiting `/monitoring/users/?cluster=woody&startTime=last30d`\n2. What filters are passed to buildStatsQuery\n3. What the BuildWhereClause function does (in internal/repository/)\n4. What indexes exist on the job table (check migration files in internal/repository/migrations/sqlite3/)\n5. The schema of the job table\n\nBe thorough - check the frontend Svelte files (web/frontend/src/List.root.svelte), GraphQL schema (api/schema.graphqls), resolvers (internal/graph/schema.resolvers.go), and the filter/where clause builder."}]},"uuid":"3b316519-cfd7-42bf-960a-77cb4d5695b8","timestamp":"2026-03-12T11:45:07.583Z"},"type":"agent_progress","prompt":"In /Users/jan/prg/ClusterCockpit/cc-backend, find all code that calls JobsStatsGrouped or leads to the `/monitoring/users/` endpoint. I need to understand:\n1. What GraphQL query is made when visiting `/monitoring/users/?cluster=woody&startTime=last30d`\n2. What filters are passed to buildStatsQuery\n3. What the BuildWhereClause function does (in internal/repository/)\n4. What indexes exist on the job table (check migration files in internal/repository/migrations/sqlite3/)\n5. 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paginatedRows as row (row.id)}\n 373→ \n 374→ \n 387→ {#if type == \"USER\"}\n 388→ {scrambleNames\n 390→ ? scramble(row?.name ? row.name : \"-\")\n 391→ : row?.name\n 392→ ? row.name\n 393→ : \"-\"}\n 395→ {/if}\n 396→ \n 397→ \n 398→ {#if fetchRunning}\n 399→ \n 400→ \n 401→ {/if}\n 402→ \n 403→ \n 404→ \n 405→ \n 406→ {:else}\n 407→ \n 408→ \n 409→ \n 410→ {/each}\n 411→ {/if}\n 412→ \n 413→
\n 212→ {#if type === 'USER'}\n 213→ Username\n 214→ {:else if type === 'PROJECT'}\n 215→ Project Name\n 216→ {/if}\n 217→ changeSorting(\"id\")}\n 221→ >\n 222→ {#if sorting?.field == \"id\"}\n 223→ \n 224→ \n 225→ {:else}\n 226→ \n 227→ {/if}\n 228→ \n 229→ \n 232→ Name\n 233→ changeSorting(\"name\")}\n 237→ >\n 238→ {#if sorting?.field == \"name\"}\n 239→ \n 240→ {:else}\n 241→ \n 242→ {/if}\n 243→ \n 244→ \n 247→ Total Jobs\n 248→ changeSorting(\"totalJobs\")}\n 252→ >\n 253→ {#if sorting?.field == \"totalJobs\"}\n 254→ \n 255→ \n 256→ {:else}\n 257→ \n 258→ {/if}\n 259→ \n 260→ \n 262→ \n 263→ Short Jobs\n 264→ \n 265→ \n 266→ \n 267→ Job duration less than {formatDurationTime(shortDuration)}\n 268→ \n 269→   \n 270→ changeSorting(\"shortJobs\")}\n 274→ >\n 275→ {#if sorting?.field == \"shortJobs\"}\n 276→ \n 277→ \n 278→ {:else}\n 279→ \n 280→ {/if}\n 281→ \n 282→ \n 285→ Total Cores\n 286→ changeSorting(\"totalCores\")}\n 290→ >\n 291→ {#if sorting?.field == \"totalJCores\"}\n 292→ \n 293→ \n 294→ {:else}\n 295→ \n 296→ {/if}\n 297→ \n 298→ \n 300→ Total Accelerators\n 301→ changeSorting(\"totalAccs\")}\n 305→ >\n 306→ {#if sorting?.field == \"totalAccs\"}\n 307→ \n 308→ \n 309→ {:else}\n 310→ \n 311→ {/if}\n 312→ \n 313→ \n 316→ Total Walltime\n 317→ changeSorting(\"totalWalltime\")}\n 321→ >\n 322→ {#if sorting?.field == \"totalWalltime\"}\n 323→ \n 324→ {:else}\n 325→ \n 326→ {/if}\n 327→ \n 328→ \n 330→ Total Core Hours\n 331→ changeSorting(\"totalCoreHours\")}\n 335→ >\n 336→ {#if sorting?.field == \"totalCoreHours\"}\n 337→ \n 338→ {:else}\n 339→ \n 340→ {/if}\n 341→ \n 342→ \n 344→ Total Accelerator Hours\n 345→ changeSorting(\"totalAccHours\")}\n 349→ >\n 350→ {#if sorting?.field == \"totalAccHours\"}\n 351→ \n 352→ {:else}\n 353→ \n 354→ {/if}\n 355→ \n 356→
{$stats.error.message}\n 370→
\n 375→ {#if type == \"USER\"}\n 376→ {scrambleNames ? scramble(row.id) : row.id}\n 379→ {:else if type == \"PROJECT\"}\n 380→ {scrambleNames ? scramble(row.id) : row.id}\n 383→ {:else}\n 384→ {row.id}\n 385→ {/if}\n 386→ {row.totalJobs}{row.shortJobs}{row.totalCores}{row.totalAccs}{row.totalWalltime}{row.totalCoreHours}{row.totalAccHours}
No {type.toLowerCase()}s/jobs found
\n 414→{#if sortedRows.length > 0}\n 415→ {\n 422→ itemsPerPage = detail.itemsPerPage;\n 423→ page = detail.page;\n 424→ }}\n 425→ />\n 426→{/if}\n 427→"}]},"uuid":"1edf3962-6d6c-4f7c-8be3-a8573a649c14","timestamp":"2026-03-12T11:45:11.430Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"ce853454-313c-4896-8f02-dbeec41cf507","timestamp":"2026-03-12T11:45:11.577Z"} 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[JobStats!]!"}]},"uuid":"0ab0ed4d-c54d-4ca2-bc77-922243ee0c48","timestamp":"2026-03-12T11:45:13.899Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"25537032-d9ae-462f-969f-85dd8ca520dc","timestamp":"2026-03-12T11:45:14.086Z"} 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+{"parentUuid":"76b0e7b2-80fb-4f60-ae26-5695cb87a4cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SZs8jnxZZK7jGqd8J8Tg2B","type":"tool_result","content":" 1→scalar Time\n 2→scalar Any\n 3→\n 4→scalar NullableFloat\n 5→scalar MetricScope\n 6→scalar JobState\n 7→scalar SchedulerState\n 8→scalar MonitoringState\n 9→\n 10→type Node {\n 11→ id: ID!\n 12→ hostname: String!\n 13→ cluster: String!\n 14→ subCluster: String!\n 15→ jobsRunning: Int!\n 16→ cpusAllocated: Int\n 17→ memoryAllocated: Int\n 18→ gpusAllocated: Int\n 19→ schedulerState: SchedulerState!\n 20→ healthState: MonitoringState!\n 21→ metaData: Any\n 22→ healthData: Any\n 23→}\n 24→\n 25→type NodeStates {\n 26→ state: String!\n 27→ count: Int!\n 28→}\n 29→\n 30→type NodeStatesTimed {\n 31→ state: String!\n 32→ counts: [Int!]!\n 33→ times: [Int!]!\n 34→}\n 35→\n 36→type Job {\n 37→ id: ID!\n 38→ jobId: Int!\n 39→ user: String!\n 40→ project: String!\n 41→ cluster: String!\n 42→ subCluster: String!\n 43→ startTime: Time!\n 44→ duration: Int!\n 45→ walltime: Int!\n 46→ numNodes: Int!\n 47→ numHWThreads: Int!\n 48→ numAcc: Int!\n 49→ energy: Float!\n 50→ SMT: Int!\n 51→ shared: String!\n 52→ partition: String!\n 53→ arrayJobId: Int!\n 54→ monitoringStatus: Int!\n 55→ state: JobState!\n 56→ tags: [Tag!]!\n 57→ resources: [Resource!]!\n 58→ concurrentJobs: JobLinkResultList\n 59→ footprint: [FootprintValue]\n 60→ energyFootprint: [EnergyFootprintValue]\n 61→ metaData: Any\n 62→ userData: User\n 63→}\n 64→\n 65→type JobLink {\n 66→ id: ID!\n 67→ jobId: Int!\n 68→}\n 69→\n 70→type Cluster {\n 71→ name: String!\n 72→ partitions: [String!]! # Slurm partitions\n 73→ subClusters: [SubCluster!]! # Hardware partitions/subclusters\n 74→}\n 75→\n 76→type SubCluster {\n 77→ name: String!\n 78→ nodes: String!\n 79→ numberOfNodes: Int!\n 80→ processorType: String!\n 81→ socketsPerNode: Int!\n 82→ coresPerSocket: Int!\n 83→ threadsPerCore: Int!\n 84→ flopRateScalar: MetricValue!\n 85→ flopRateSimd: MetricValue!\n 86→ memoryBandwidth: MetricValue!\n 87→ topology: Topology!\n 88→ metricConfig: [MetricConfig!]!\n 89→ footprint: [String!]!\n 90→}\n 91→\n 92→type FootprintValue {\n 93→ name: String!\n 94→ stat: String!\n 95→ value: Float!\n 96→}\n 97→\n 98→type EnergyFootprintValue {\n 99→ hardware: String!\n 100→ metric: String!\n 101→ value: Float!\n 102→}\n 103→\n 104→type MetricValue {\n 105→ name: String\n 106→ unit: Unit!\n 107→ value: Float!\n 108→}\n 109→\n 110→type Topology {\n 111→ node: [Int!]\n 112→ socket: [[Int!]!]\n 113→ memoryDomain: [[Int!]!]\n 114→ die: [[Int!]!]\n 115→ core: [[Int!]!]\n 116→ accelerators: [Accelerator!]\n 117→}\n 118→\n 119→type Accelerator {\n 120→ id: String!\n 121→ type: String!\n 122→ model: String!\n 123→}\n 124→\n 125→type SubClusterConfig {\n 126→ name: String!\n 127→ peak: Float\n 128→ normal: Float\n 129→ caution: Float\n 130→ alert: Float\n 131→ remove: Boolean\n 132→}\n 133→\n 134→type MetricConfig {\n 135→ name: String!\n 136→ unit: Unit!\n 137→ scope: MetricScope!\n 138→ aggregation: String!\n 139→ timestep: Int!\n 140→ peak: Float!\n 141→ normal: Float\n 142→ caution: Float!\n 143→ alert: Float!\n 144→ lowerIsBetter: Boolean\n 145→ subClusters: [SubClusterConfig!]!\n 146→}\n 147→\n 148→type Tag {\n 149→ id: ID!\n 150→ type: String!\n 151→ name: String!\n 152→ scope: String!\n 153→}\n 154→\n 155→type Resource {\n 156→ hostname: String!\n 157→ hwthreads: [Int!]\n 158→ accelerators: [String!]\n 159→ configuration: String\n 160→}\n 161→\n 162→type JobMetricWithName {\n 163→ name: String!\n 164→ scope: MetricScope!\n 165→ metric: JobMetric!\n 166→}\n 167→\n 168→type ClusterMetricWithName {\n 169→ name: String!\n 170→ unit: Unit\n 171→ timestep: Int!\n 172→ data: [NullableFloat!]!\n 173→}\n 174→\n 175→type JobMetric {\n 176→ unit: Unit\n 177→ timestep: Int!\n 178→ series: [Series!]\n 179→ statisticsSeries: StatsSeries\n 180→}\n 181→\n 182→type Series {\n 183→ hostname: String!\n 184→ id: String\n 185→ statistics: MetricStatistics\n 186→ data: [NullableFloat!]!\n 187→}\n 188→\n 189→type StatsSeries {\n 190→ mean: [NullableFloat!]!\n 191→ median: [NullableFloat!]!\n 192→ min: [NullableFloat!]!\n 193→ max: [NullableFloat!]!\n 194→}\n 195→\n 196→type NamedStatsWithScope {\n 197→ name: String!\n 198→ scope: MetricScope!\n 199→ stats: [ScopedStats!]!\n 200→}\n 201→\n 202→type ScopedStats {\n 203→ hostname: String!\n 204→ id: String\n 205→ data: MetricStatistics!\n 206→}\n 207→\n 208→type JobStats {\n 209→ id: Int!\n 210→ jobId: String!\n 211→ startTime: Int!\n 212→ duration: Int!\n 213→ cluster: String!\n 214→ subCluster: String!\n 215→ numNodes: Int!\n 216→ numHWThreads: Int\n 217→ numAccelerators: Int\n 218→ stats: [NamedStats!]!\n 219→}\n 220→\n 221→type NamedStats {\n 222→ name: String!\n 223→ data: MetricStatistics!\n 224→}\n 225→\n 226→type Unit {\n 227→ base: String!\n 228→ prefix: String\n 229→}\n 230→\n 231→type MetricStatistics {\n 232→ avg: Float!\n 233→ min: Float!\n 234→ max: Float!\n 235→}\n 236→\n 237→type MetricFootprints {\n 238→ metric: String!\n 239→ data: [NullableFloat!]!\n 240→}\n 241→\n 242→type Footprints {\n 243→ timeWeights: TimeWeights!\n 244→ metrics: [MetricFootprints!]!\n 245→}\n 246→\n 247→type TimeWeights {\n 248→ nodeHours: [NullableFloat!]!\n 249→ accHours: [NullableFloat!]!\n 250→ coreHours: [NullableFloat!]!\n 251→}\n 252→\n 253→enum Aggregate {\n 254→ USER\n 255→ PROJECT\n 256→ CLUSTER\n 257→ SUBCLUSTER\n 258→}\n 259→enum SortByAggregate {\n 260→ TOTALWALLTIME\n 261→ TOTALJOBS\n 262→ TOTALUSERS\n 263→ TOTALNODES\n 264→ TOTALNODEHOURS\n 265→ TOTALCORES\n 266→ TOTALCOREHOURS\n 267→ TOTALACCS\n 268→ TOTALACCHOURS\n 269→}\n 270→\n 271→type NodeMetrics {\n 272→ host: String!\n 273→ state: String!\n 274→ subCluster: String!\n 275→ metrics: [JobMetricWithName!]!\n 276→}\n 277→\n 278→type ClusterMetrics {\n 279→ nodeCount: Int!\n 280→ metrics: [ClusterMetricWithName!]!\n 281→}\n 282→\n 283→type NodesResultList {\n 284→ items: [NodeMetrics!]!\n 285→ offset: Int\n 286→ limit: Int\n 287→ count: Int\n 288→ totalNodes: Int\n 289→ hasNextPage: Boolean\n 290→}\n 291→\n 292→type ClusterSupport {\n 293→ cluster: String!\n 294→ subClusters: [String!]!\n 295→}\n 296→\n 297→type GlobalMetricListItem {\n 298→ name: String!\n 299→ unit: Unit!\n 300→ scope: MetricScope!\n 301→ footprint: String\n 302→ availability: [ClusterSupport!]!\n 303→}\n 304→\n 305→type Count {\n 306→ name: String!\n 307→ count: Int!\n 308→}\n 309→\n 310→type User {\n 311→ username: String!\n 312→ name: String!\n 313→ email: String!\n 314→}\n 315→\n 316→input MetricStatItem {\n 317→ metricName: String!\n 318→ range: FloatRange!\n 319→}\n 320→\n 321→type Query {\n 322→ clusters: [Cluster!]! # List of all clusters\n 323→ tags: [Tag!]! # List of all tags\n 324→ globalMetrics: [GlobalMetricListItem!]!\n 325→\n 326→ user(username: String!): User\n 327→ allocatedNodes(cluster: String!): [Count!]!\n 328→\n 329→ ## Node Queries New\n 330→ node(id: ID!): Node\n 331→ nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n 332→ nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n 333→ nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n 334→ nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n 335→\n 336→ job(id: ID!): Job\n 337→ jobMetrics(\n 338→ id: ID!\n 339→ metrics: [String!]\n 340→ scopes: [MetricScope!]\n 341→ resolution: Int\n 342→ ): [JobMetricWithName!]!\n 343→\n 344→ jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n 345→\n 346→ scopedJobStats(\n 347→ id: ID!\n 348→ metrics: [String!]\n 349→ scopes: [MetricScope!]\n 350→ ): [NamedStatsWithScope!]!\n 351→\n 352→ jobs(\n 353→ filter: [JobFilter!]\n 354→ page: PageRequest\n 355→ order: OrderByInput\n 356→ ): JobResultList!\n 357→\n 358→ jobsStatistics(\n 359→ filter: [JobFilter!]\n 360→ metrics: [String!]\n 361→ page: PageRequest\n 362→ sortBy: SortByAggregate\n 363→ groupBy: Aggregate\n 364→ numDurationBins: String\n 365→ numMetricBins: Int\n 366→ ): [JobsStatistics!]!\n 367→\n 368→ jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n 369→ jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n 370→\n 371→ rooflineHeatmap(\n 372→ filter: [JobFilter!]!\n 373→ rows: Int!\n 374→ cols: Int!\n 375→ minX: Float!\n 376→ minY: Float!\n 377→ maxX: Float!\n 378→ maxY: Float!\n 379→ ): [[Float!]!]!\n 380→\n 381→ nodeMetrics(\n 382→ cluster: String!\n 383→ nodes: [String!]\n 384→ scopes: [MetricScope!]\n 385→ metrics: [String!]\n 386→ from: Time!\n 387→ to: Time!\n 388→ ): [NodeMetrics!]!\n 389→\n 390→ nodeMetricsList(\n 391→ cluster: String!\n 392→ subCluster: String!\n 393→ stateFilter: String!\n 394→ nodeFilter: String!\n 395→ scopes: [MetricScope!]\n 396→ metrics: [String!]\n 397→ from: Time!\n 398→ to: Time!\n 399→ page: PageRequest\n 400→ resolution: Int\n 401→ ): NodesResultList!\n 402→\n 403→ clusterMetrics(\n 404→ cluster: String!\n 405→ metrics: [String!]\n 406→ from: Time!\n 407→ to: Time!\n 408→ ): ClusterMetrics!\n 409→}\n 410→\n 411→type Mutation {\n 412→ createTag(type: String!, name: String!, scope: String!): Tag!\n 413→ deleteTag(id: ID!): ID!\n 414→ addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n 415→ removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n 416→ removeTagFromList(tagIds: [ID!]!): [Int!]!\n 417→\n 418→ updateConfiguration(name: String!, value: String!): String\n 419→}\n 420→\n 421→type IntRangeOutput {\n 422→ from: Int!\n 423→ to: Int!\n 424→}\n 425→type TimeRangeOutput {\n 426→ range: String\n 427→ from: Time!\n 428→ to: Time!\n 429→}\n 430→\n 431→input NodeFilter {\n 432→ hostname: StringInput\n 433→ cluster: StringInput\n 434→ subCluster: StringInput\n 435→ schedulerState: SchedulerState\n 436→ healthState: MonitoringState\n 437→ timeStart: Int\n 438→}\n 439→\n 440→input JobFilter {\n 441→ tags: [ID!]\n 442→ dbId: [ID!]\n 443→ jobId: StringInput\n 444→ arrayJobId: Int\n 445→ user: StringInput\n 446→ project: StringInput\n 447→ jobName: StringInput\n 448→ cluster: StringInput\n 449→ subCluster: StringInput\n 450→ partition: StringInput\n 451→ duration: IntRange\n 452→ energy: FloatRange\n 453→\n 454→ minRunningFor: Int\n 455→\n 456→ numNodes: IntRange\n 457→ numAccelerators: IntRange\n 458→ numHWThreads: IntRange\n 459→\n 460→ startTime: TimeRange\n 461→ state: [JobState!]\n 462→ metricStats: [MetricStatItem!]\n 463→ shared: String\n 464→ schedule: String\n 465→ node: StringInput\n 466→}\n 467→\n 468→input OrderByInput {\n 469→ field: String!\n 470→ type: String!\n 471→ order: SortDirectionEnum! = ASC\n 472→}\n 473→\n 474→enum SortDirectionEnum {\n 475→ DESC\n 476→ ASC\n 477→}\n 478→\n 479→input StringInput {\n 480→ eq: String\n 481→ neq: String\n 482→ contains: String\n 483→ startsWith: String\n 484→ endsWith: String\n 485→ in: [String!]\n 486→}\n 487→\n 488→input IntRange {\n 489→ from: Int!\n 490→ to: Int!\n 491→}\n 492→input TimeRange {\n 493→ range: String\n 494→ from: Time\n 495→ to: Time\n 496→}\n 497→\n 498→input FloatRange {\n 499→ from: Float!\n 500→ to: Float!\n 501→}\n 502→\n 503→type NodeStateResultList {\n 504→ items: [Node!]!\n 505→ count: Int\n 506→}\n 507→\n 508→type JobResultList {\n 509→ items: [Job!]!\n 510→ offset: Int\n 511→ limit: Int\n 512→ count: Int\n 513→ hasNextPage: Boolean\n 514→}\n 515→\n 516→type JobLinkResultList {\n 517→ listQuery: String\n 518→ items: [JobLink!]!\n 519→ count: Int\n 520→}\n 521→\n 522→type HistoPoint {\n 523→ count: Int!\n 524→ value: Int!\n 525→}\n 526→\n 527→type MetricHistoPoints {\n 528→ metric: String!\n 529→ unit: String!\n 530→ stat: String\n 531→ data: [MetricHistoPoint!]\n 532→}\n 533→\n 534→type MetricHistoPoint {\n 535→ bin: Int\n 536→ count: Int!\n 537→ min: Int\n 538→ max: Int\n 539→}\n 540→\n 541→type JobsStatistics {\n 542→ id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n 543→ name: String! # if User-Statistics: Given Name of Account (ID) Owner\n 544→ totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n 545→ totalJobs: Int! # Number of jobs\n 546→ runningJobs: Int! # Number of running jobs\n 547→ shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n 548→ totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n 549→ totalNodes: Int! # Sum of the nodes of all matched jobs\n 550→ totalNodeHours: Int! # Sum of the node hours of all matched jobs\n 551→ totalCores: Int! # Sum of the cores of all matched jobs\n 552→ totalCoreHours: Int! # Sum of the core hours of all matched jobs\n 553→ totalAccs: Int! # Sum of the accs of all matched jobs\n 554→ totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n 555→ histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n 556→ histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n 557→ histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n 558→ histNumAccs: [HistoPoint!]! # value: number of accs, count: number of jobs with that number of accs\n 559→ histMetrics: [MetricHistoPoints!]! # metric: metricname, data array of histopoints: value: metric average bin, count: number of jobs with that metric average\n 560→}\n 561→\n 562→input PageRequest {\n 563→ itemsPerPage: Int!\n 564→ page: Int!\n 565→}\n 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+{"parentUuid":"fde380bb-2589-48ed-8e83-1fee0a8473cd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U6TJ6oa9echF7j5ULHBD3q","type":"tool_result","content":"641-\t}\n642-\n643-\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n644-}\n645-\n646:// JobsStatistics is the resolver for the jobsStatistics field.\n647:func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n648-\tstartOverall := time.Now()\n649-\tvar err error\n650:\tvar stats []*model.JobsStatistics\n651-\n652-\t// Top Level Defaults\n653-\tdefaultDurationBins := \"1h\"\n654-\tdefaultMetricBins := 10\n655-\n--\n674-\t\t\tstartGrouped := time.Now()\n675-\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n676-\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n677-\t\t}\n678-\t} else {\n679:\t\tstats = make([]*model.JobsStatistics, 0, 1)\n680:\t\tstats = append(stats, &model.JobsStatistics{})\n681-\t}\n682-\n683-\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n684-\t// Only run separate count queries if main stats were not fetched.\n685-\tif !fetchedMainStats {\n--\n734-\t\t} else {\n735-\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n736-\t\t}\n737-\t}\n738-\n739:\tcclog.Infof(\"Timer JobsStatistics overall: %s\", time.Since(startOverall))\n740-\treturn stats, nil\n741-}\n742-\n743-// JobsMetricStats is the resolver for the jobsMetricStats field.\n744-func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\n[Showing results with pagination = limit: 50, offset: 0]"}]},"uuid":"58fada81-9554-42ac-98b4-f2800480ef6f","timestamp":"2026-03-12T11:45:18.409Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"5b9d902c-1d33-4b8a-9751-c6b4558bbdbd","timestamp":"2026-03-12T11:45:18.412Z"} 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+{"parentUuid":"7601a494-c78e-4bc7-97ed-296942727105","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VMLg9Chu7DYBoqTJxHbDHA","type":"tool_result","content":" 646→// JobsStatistics is the resolver for the jobsStatistics field.\n 647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n 648→\tstartOverall := time.Now()\n 649→\tvar err error\n 650→\tvar stats []*model.JobsStatistics\n 651→\n 652→\t// Top Level Defaults\n 653→\tdefaultDurationBins := \"1h\"\n 654→\tdefaultMetricBins := 10\n 655→\n 656→\t// Build requested fields map for selective column computation\n 657→\tstatsFields := []string{\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n 658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\"}\n 659→\treqFields := make(map[string]bool, len(statsFields))\n 660→\tfetchedMainStats := false\n 661→\tfor _, f := range statsFields {\n 662→\t\tif requireField(ctx, f) {\n 663→\t\t\treqFields[f] = true\n 664→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n 665→\t\t\t\tfetchedMainStats = true\n 666→\t\t\t}\n 667→\t\t}\n 668→\t}\n 669→\n 670→\tif fetchedMainStats {\n 671→\t\tif groupBy == nil {\n 672→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n 673→\t\t} else {\n 674→\t\t\tstartGrouped := time.Now()\n 675→\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n 676→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n 677→\t\t}\n 678→\t} else {\n 679→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 680→\t\tstats = append(stats, &model.JobsStatistics{})\n 681→\t}\n 682→\n 683→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n 684→\t// Only run separate count queries if main stats were not fetched.\n 685→\tif !fetchedMainStats {\n 686→\t\tif groupBy != nil {\n 687→\t\t\tif requireField(ctx, \"shortJobs\") {\n 688→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n 689→\t\t\t}\n 690→\t\t\tif requireField(ctx, \"runningJobs\") {\n 691→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n 692→\t\t\t}\n 693→\t\t} else {\n 694→\t\t\tif requireField(ctx, \"shortJobs\") {\n 695→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n 696→\t\t\t}\n 697→\t\t\tif requireField(ctx, \"runningJobs\") {\n 698→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n 699→\t\t\t}\n 700→\t\t}\n 701→\t}\n 702→\n 703→\tif err != nil {\n 704→\t\treturn nil, err\n 705→\t}\n 706→\n 707→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n 708→\n 709→\t\tif numDurationBins == nil {\n 710→\t\t\tnumDurationBins = &defaultDurationBins\n 711→\t\t}\n 712→\n 713→\t\tif groupBy == nil {\n 714→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n 715→\t\t\tif err != nil {\n 716→\t\t\t\treturn nil, err\n 717→\t\t\t}\n 718→\t\t} else {\n 719→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n 720→\t\t}\n 721→\t}\n 722→\n 723→\tif requireField(ctx, \"histMetrics\") {\n 724→\n 725→\t\tif numMetricBins == nil {\n 726→\t\t\tnumMetricBins = &defaultMetricBins\n 727→\t\t}\n 728→\n 729→\t\tif groupBy == nil {\n 730→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n 731→\t\t\tif err != nil {\n 732→\t\t\t\treturn nil, err\n 733→\t\t\t}\n 734→\t\t} else {\n 735→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n 736→\t\t}\n 737→\t}\n 738→\n 739→\tcclog.Infof(\"Timer JobsStatistics overall: %s\", time.Since(startOverall))\n 740→\treturn stats, nil\n 741→}\n 742→\n 743→// JobsMetricStats is the resolver for the jobsMetricStats field.\n 744→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n 745→\t// No Paging, Fixed Order by StartTime ASC\n 746→\torder := &model.OrderByInput{\n 747→\t\tField: \"startTime\",\n 748→\t\tType: \"col\",\n 749→\t\tOrder: \"ASC\",\n 750→\t}\n 751→\n 752→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n 753→\tif err != nil {\n 754→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n 755→\t\treturn nil, err\n 756→\t}\n 757→\n 758→\tres := []*model.JobStats{}\n 759→\tfor _, job := range jobs {\n 760→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 761→\t\tif err != nil {\n 762→\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n 763→\t\t\tcontinue\n 764→\t\t\t// return nil, err\n 765→\t\t}\n 766→\n 767→\t\tsres := []*model.NamedStats{}\n 768→\t\tfor name, md := range data {\n 769→\t\t\tsres = append(sres, &model.NamedStats{\n 770→\t\t\t\tName: name,\n 771→\t\t\t\tData: &md,\n 772→\t\t\t})\n 773→\t\t}\n 774→\n 775→\t\tnumThreadsInt := int(job.NumHWThreads)\n 776→\t\tnumAccsInt := int(job.NumAcc)\n 777→\t\tres = append(res, &model.JobStats{\n 778→\t\t\tID: int(*job.ID),\n 779→\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n 780→\t\t\tStartTime: int(job.StartTime),\n 781→\t\t\tDuration: int(job.Duration),\n 782→\t\t\tCluster: job.Cluster,\n 783→\t\t\tSubCluster: job.SubCluster,\n 784→\t\t\tNumNodes: int(job.NumNodes),\n 785→\t\t\tNumHWThreads: &numThreadsInt,\n 786→\t\t\tNumAccelerators: &numAccsInt,\n 787→\t\t\tStats: sres,\n 788→\t\t})\n 789→\t}\n 790→\treturn res, err\n 791→}\n 792→\n 793→// JobsFootprints is the resolver for the jobsFootprints field.\n 794→func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 795→\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!"}]},"uuid":"14ac14c8-e2e1-4c61-904a-aa687f11ad67","timestamp":"2026-03-12T11:45:19.604Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"2ff61d98-d607-45b9-908a-a52e22e94d02","timestamp":"2026-03-12T11:45:19.616Z"} +{"parentUuid":"2ff61d98-d607-45b9-908a-a52e22e94d02","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:25.660Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013B5WyceVnrmAnmjDz69sBE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013yoYzR49cdhwYJZnWhj8NH","name":"Grep","input":{"pattern":"JobsStatsGrouped|buildStatsQuery","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","output_mode":"content","context":10,"head_limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":2575,"cache_read_input_tokens":36752,"cache_creation":{"ephemeral_5m_input_tokens":2575,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8TozKiN1rwvgNgFnGT","uuid":"52293bc4-c507-46c3-80bf-2d57bbc002ee"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"1b6d2fd8-072c-414d-9543-6f92aa090a2b","timestamp":"2026-03-12T11:45:25.660Z"} +{"parentUuid":"1b6d2fd8-072c-414d-9543-6f92aa090a2b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yoYzR49cdhwYJZnWhj8NH","type":"tool_result","content":"3-// Use of this source code is governed by a MIT-style\n4-// license that can be found in the LICENSE file.\n5-\n6-// This file contains job statistics and histogram generation functionality for the JobRepository.\n7-//\n8-// # Job Statistics\n9-//\n10-// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n11-/ walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n12-/ - Overall (JobsStats): Single aggregate across all matching jobs\n13:// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n14-/ - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n15-//\n16-// All statistics methods support filtering via JobFilter and respect security contexts.\n17-//\n18-// # Histograms\n19-//\n20-/ Histogram methods generate distribution data for visualization:\n21-// - Duration, nodes, cores, accelerators (AddHistograms)\n22-// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n23-//\n--\n51-\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n52-\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n53-\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n54-\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n55-\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n56-\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n57-\tsq \"github.com/Masterminds/squirrel\"\n58-)\n59-\n60-// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n61:// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n62-// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n63-var groupBy2column = map[model.Aggregate]string{\n64-\tmodel.AggregateUser: \"job.hpc_user\",\n65-\tmodel.AggregateProject: \"job.project\",\n66-\tmodel.AggregateCluster: \"job.cluster\",\n67-\tmodel.AggregateSubcluster: \"job.subcluster\",\n68-}\n69-\n70-// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n71:// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n72:// Column names match the AS aliases used in buildStatsQuery.\n73-var sortBy2column = map[model.SortByAggregate]string{\n74-\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n75-\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n76-\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n77-\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n78-\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n79-\tmodel.SortByAggregateTotalcores: \"totalCores\",\n80-\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n81-\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n82-\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n--\n117-\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n118-\t}\n119-\n120-\tfor _, f := range filter {\n121-\t\tquery = BuildWhereClause(f, query)\n122-\t}\n123-\n124-\treturn query\n125-}\n126-\n127:// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n128-// Only requested columns are computed; unrequested columns select 0 as placeholder.\n129-//\n130-/ Parameters:\n131-/ - filter: Job filters to apply (cluster, user, time range, etc.)\n132-/ - col: Column name to GROUP BY; empty string for overall statistics without grouping\n133-/ - shortThreshold: Duration threshold in seconds for counting short-running jobs\n134-/ - reqFields: Set of requested field names; nil means compute all fields\n135:func (r *JobRepository) buildStatsQuery(\n136-\tfilter []*model.JobFilter,\n137-\tcol string,\n138-\tshortThreshold int,\n139-\treqFields map[string]bool,\n140-) sq.SelectBuilder {\n141-\tnow := time.Now().Unix()\n142-\n143-\t/ Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n144-\tneed := func(field string) bool {\n145-\t\treturn reqFields == nil || reqFields[field]\n--\n220-\t\tquery = query.GroupBy(col)\n221-\t}\n222-\n223-\tfor _, f := range filter {\n224-\t\tquery = BuildWhereClause(f, query)\n225-\t}\n226-\n227-\treturn query\n228-}\n229-\n230:// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n231-// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n232-// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n233:func (r *JobRepository) JobsStatsGrouped(\n234-\tctx context.Context,\n\n[Showing results with pagination = limit: 100, offset: 0]"}]},"uuid":"211748f5-b2e5-47b4-b446-898153fe6229","timestamp":"2026-03-12T11:45:25.692Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"4738e703-158e-48e4-8443-ae1b54dca9de","timestamp":"2026-03-12T11:45:25.693Z"} +{"parentUuid":"4738e703-158e-48e4-8443-ae1b54dca9de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:27.069Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_015s8nTCgioyMSzUYyAkU1bG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017QcpFJyqpkQMd8jAhx3365","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","offset":230,"limit":250},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1806,"cache_read_input_tokens":39327,"cache_creation":{"ephemeral_5m_input_tokens":1806,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8UFzFxvNZGv8uPBhY5","uuid":"1958924e-7320-47d3-b446-e7b6941ac144"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"9e241730-5c43-4ed7-8b3e-104ea5a60530","timestamp":"2026-03-12T11:45:27.070Z"} +{"parentUuid":"9e241730-5c43-4ed7-8b3e-104ea5a60530","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017QcpFJyqpkQMd8jAhx3365","type":"tool_result","content":" 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tstart := time.Now()\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→\treqFields map[string]bool,\n 351→) ([]*model.JobsStatistics, error) {\n 352→\tstart := time.Now()\n 353→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 354→\tquery, err := SecurityCheck(ctx, query)\n 355→\tif err != nil {\n 356→\t\treturn nil, err\n 357→\t}\n 358→\n 359→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 360→\tstats := make([]*model.JobsStatistics, 0, 1)\n 361→\n 362→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 363→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 364→\t\tcclog.Warn(\"Error while scanning rows\")\n 365→\t\treturn nil, err\n 366→\t}\n 367→\n 368→\tif jobs.Valid {\n 369→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 370→\n 371→\t\tif nodeHours.Valid {\n 372→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 373→\t\t}\n 374→\t\tif coreHours.Valid {\n 375→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 376→\t\t}\n 377→\t\tif accHours.Valid {\n 378→\t\t\ttotalAccHours = int(accHours.Int64)\n 379→\t\t}\n 380→\t\tstats = append(stats,\n 381→\t\t\t&model.JobsStatistics{\n 382→\t\t\t\tTotalJobs: int(jobs.Int64),\n 383→\t\t\t\tTotalUsers: int(users.Int64),\n 384→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 385→\t\t\t\tTotalNodeHours: totalNodeHours,\n 386→\t\t\t\tTotalCoreHours: totalCoreHours,\n 387→\t\t\t\tTotalAccHours: totalAccHours,\n 388→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 389→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 390→\t\t\t})\n 391→\t}\n 392→\n 393→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 394→\treturn stats, nil\n 395→}\n 396→\n 397→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 398→// Returns 0.0 if the metric is not found or statType is invalid.\n 399→//\n 400→// Parameters:\n 401→// - job: Job struct with populated Statistics field\n 402→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 403→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 404→//\n 405→// Returns the requested statistic value or 0.0 if not found.\n 406→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 407→\tif stats, ok := job.Statistics[metric]; ok {\n 408→\t\tswitch statType {\n 409→\t\tcase \"avg\":\n 410→\t\t\treturn stats.Avg\n 411→\t\tcase \"max\":\n 412→\t\t\treturn stats.Max\n 413→\t\tcase \"min\":\n 414→\t\t\treturn stats.Min\n 415→\t\tdefault:\n 416→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 417→\t\t}\n 418→\t}\n 419→\n 420→\treturn 0.0\n 421→}\n 422→\n 423→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 424→//\n 425→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 426→// avoiding the overhead of calculating walltime and resource usage metrics.\n 427→//\n 428→// Parameters:\n 429→// - ctx: Context for security checks\n 430→// - filter: Filters to apply\n 431→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 432→//\n 433→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 434→func (r *JobRepository) JobCountGrouped(\n 435→\tctx context.Context,\n 436→\tfilter []*model.JobFilter,\n 437→\tgroupBy *model.Aggregate,\n 438→) ([]*model.JobsStatistics, error) {\n 439→\tstart := time.Now()\n 440→\tcol := groupBy2column[*groupBy]\n 441→\tquery := r.buildCountQuery(filter, \"\", col)\n 442→\tquery, err := SecurityCheck(ctx, query)\n 443→\tif err != nil {\n 444→\t\treturn nil, err\n 445→\t}\n 446→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 447→\tif err != nil {\n 448→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 449→\t\treturn nil, err\n 450→\t}\n 451→\tdefer rows.Close()\n 452→\n 453→\tstats := make([]*model.JobsStatistics, 0, 100)\n 454→\n 455→\tfor rows.Next() {\n 456→\t\tvar id sql.NullString\n 457→\t\tvar cnt sql.NullInt64\n 458→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 459→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 460→\t\t\treturn nil, err\n 461→\t\t}\n 462→\t\tif id.Valid {\n 463→\t\t\tstats = append(stats,\n 464→\t\t\t\t&model.JobsStatistics{\n 465→\t\t\t\t\tID: id.String,\n 466→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 467→\t\t\t\t})\n 468→\t\t}\n 469→\t}\n 470→\n 471→\tif err := rows.Err(); err != nil {\n 472→\t\treturn nil, err\n 473→\t}\n 474→\n 475→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 476→\treturn stats, nil\n 477→}\n 478→\n 479→// AddJobCountGrouped augments existing statistics with additional job counts by category."}]},"uuid":"578fac42-1480-49c1-b037-f40b02b0ead0","timestamp":"2026-03-12T11:45:27.082Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6b453d10-a1ff-4bbf-9f67-4f0772bf5733","timestamp":"2026-03-12T11:45:27.084Z"} 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+{"parentUuid":"e18e24fe-c885-4680-bf59-b260c01ccb3e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NFck9m5JM4XWuB2mm8Z1ZN","type":"tool_result","content":" 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(job.id) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}"}]},"uuid":"bec19ab1-1059-4697-ab9c-9d49d3d969fe","timestamp":"2026-03-12T11:45:29.954Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6c7b44c8-5ea8-4199-b1bc-b82034e9cd2f","timestamp":"2026-03-12T11:45:30.050Z"} 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+{"parentUuid":"827237db-37fd-4d34-8402-378d570f3aac","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Nm6sCyu2HqzHosmJ1viUqU","type":"tool_result","content":"132-\n133-\treturn count, nil\n134-}\n135-\n136-// SecurityCheckWithUser applies role-based access control filters to a job query\n137-// based on the provided user's roles and permissions.\n138-//\n139-/ Access rules by role:\n140-/ - API role (exclusive): Full access to all jobs\n141-/ - Admin/Support roles: Full access to all jobs\n142-/ - Manager role: Access to jobs in managed projects plus own jobs\n143-/ - User role: Access only to own jobs\n144-//\n145-// Returns an error if the user is nil or has no recognized roles.\n146-func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n147-\tif user == nil {\n148-\t\tvar qnil sq.SelectBuilder\n149-\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n150-\t}\n151-\n152-\tswitch {\n153-\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n154-\t\treturn query, nil\n155-\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n156-\t\treturn query, nil\n157-\tcase user.HasRole(schema.RoleManager):\n158-\t\tif len(user.Projects) != 0 {\n159-\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n160-\t\t}\n161-\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n162-\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n163-\tcase user.HasRole(schema.RoleUser):\n164-\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n165-\tdefault:\n166-\t\tvar qnil sq.SelectBuilder\n167-\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n168-\t}\n169-}\n170-\n171-// SecurityCheck extracts the user from the context and applies role-based access\n172-// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n173-func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n174-\tuser := GetUserFromContext(ctx)\n175-\treturn SecurityCheckWithUser(user, query)\n176-}\n177-\n178-// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n179-// them to the query. Supports filtering by job properties (cluster, state, user),\n180-// time ranges, resource usage, tags, and JSON field searches in meta_data,\n181-// footprint, and resources columns.\n182:func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n183-\t// Primary Key\n184-\tif filter.DbID != nil {\n185-\t\tdbIDs := make([]string, len(filter.DbID))\n186-\t\tcopy(dbIDs, filter.DbID)\n187-\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n188-\t}\n189-\t// Explicit indices\n190-\tif filter.Cluster != nil {\n191-\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n192-\t}\n193-\tif filter.SubCluster != nil {\n194-\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n195-\t}\n196-\tif filter.Partition != nil {\n197-\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n198-\t}\n199-\tif filter.State != nil {\n200-\t\tstates := make([]string, len(filter.State))\n201-\t\tfor i, val := range filter.State {\n202-\t\t\tstates[i] = string(val)\n203-\t\t}\n204-\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n205-\t}\n206-\tif filter.Shared != nil {\n207-\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n208-\t}\n209-\tif filter.Project != nil {\n210-\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n211-\t}\n212-\tif filter.User != nil {\n213-\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n214-\t}\n215-\tif filter.NumNodes != nil {\n216-\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n217-\t}\n218-\tif filter.NumAccelerators != nil {\n219-\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n220-\t}\n221-\tif filter.NumHWThreads != nil {\n222-\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n223-\t}\n224-\tif filter.ArrayJobID != nil {\n225-\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n226-\t}\n227-\tif filter.StartTime != nil {\n228-\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n229-\t}\n230-\tif filter.Duration != nil {\n231-\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n232-\t}"}]},"uuid":"27be81ff-d3db-455c-8606-bfcdd159eff3","timestamp":"2026-03-12T11:45:32.917Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"43ad5e4e-af5d-4e63-8596-be020ca70e74","timestamp":"2026-03-12T11:45:32.918Z"} +{"parentUuid":"43ad5e4e-af5d-4e63-8596-be020ca70e74","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:34.537Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HBo1DZsQLdm4f6fjgEGEMF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EjgCDPWyV5tZPTwLnPetc4","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","offset":178,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1591,"cache_read_input_tokens":46847,"cache_creation":{"ephemeral_5m_input_tokens":1591,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8UntsZMqmeJcnT4WYX","uuid":"a3643d63-4d7e-4434-9ac5-b840412f7cb4"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"61096e11-2932-411d-ac2c-d43b73532791","timestamp":"2026-03-12T11:45:34.538Z"} +{"parentUuid":"61096e11-2932-411d-ac2c-d43b73532791","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EjgCDPWyV5tZPTwLnPetc4","type":"tool_result","content":" 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:"}]},"uuid":"9e865ff5-0dfc-459c-9823-055bf7a91f7e","timestamp":"2026-03-12T11:45:34.544Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"de69279a-c0a6-4710-92da-4be03bd9d325","timestamp":"2026-03-12T11:45:34.567Z"} 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TEXT NOT NULL, -- JSON\n 17→num_nodes INT NOT NULL,\n 18→num_hwthreads INT,\n 19→num_acc INT,\n 20→smt TINYINT NOT NULL DEFAULT 1 CHECK(smt IN (0, 1 )),\n 21→exclusive TINYINT NOT NULL DEFAULT 1 CHECK(exclusive IN (0, 1, 2)),\n 22→monitoring_status TINYINT NOT NULL DEFAULT 1 CHECK(monitoring_status IN (0, 1, 2, 3)),\n 23→mem_used_max REAL NOT NULL DEFAULT 0.0,\n 24→flops_any_avg REAL NOT NULL DEFAULT 0.0,\n 25→mem_bw_avg REAL NOT NULL DEFAULT 0.0,\n 26→load_avg REAL NOT NULL DEFAULT 0.0,\n 27→net_bw_avg REAL NOT NULL DEFAULT 0.0,\n 28→net_data_vol_total REAL NOT NULL DEFAULT 0.0,\n 29→file_bw_avg REAL NOT NULL DEFAULT 0.0,\n 30→file_data_vol_total REAL NOT NULL DEFAULT 0.0);\n 31→\n 32→CREATE TABLE IF NOT EXISTS tag (\n 33→id INTEGER PRIMARY KEY,\n 34→tag_type VARCHAR(255) NOT NULL,\n 35→tag_name VARCHAR(255) NOT NULL,\n 36→UNIQUE (tag_type, tag_name));\n 37→\n 38→CREATE TABLE IF NOT EXISTS jobtag (\n 39→job_id INTEGER,\n 40→tag_id INTEGER,\n 41→PRIMARY KEY (job_id, tag_id),\n 42→FOREIGN KEY (job_id) REFERENCES job (id) ON DELETE CASCADE,\n 43→FOREIGN KEY (tag_id) REFERENCES tag (id) ON DELETE CASCADE);\n 44→\n 45→CREATE TABLE IF NOT EXISTS user (\n 46→username varchar(255) PRIMARY KEY NOT NULL,\n 47→password varchar(255) DEFAULT NULL,\n 48→ldap tinyint NOT NULL DEFAULT 0, /* col called \"ldap\" for historic reasons, fills the \"AuthSource\" */\n 49→name varchar(255) DEFAULT NULL,\n 50→roles varchar(255) NOT NULL DEFAULT \"[]\",\n 51→email varchar(255) DEFAULT NULL);\n 52→\n 53→CREATE TABLE IF NOT EXISTS configuration (\n 54→username varchar(255),\n 55→confkey varchar(255),\n 56→value varchar(255),\n 57→PRIMARY KEY (username, confkey),\n 58→FOREIGN KEY (username) REFERENCES user (username) ON DELETE CASCADE ON UPDATE NO ACTION);\n 59→\n 60→\n 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TEXT NOT NULL DEFAULT 'global';\n 15→\n 16→-- Do not use reserved keywords anymore\n 17→ALTER TABLE \"user\" RENAME TO hpc_user;\n 18→ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n 19→ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n 20→\n 21→UPDATE job SET footprint = '{\"flops_any_avg\": 0.0}';\n 22→UPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);\n 23→UPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);\n 24→UPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);\n 25→UPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);\n 26→UPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;\n 27→UPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;\n 28→UPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;\n 29→UPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;\n 30→\n 31→ALTER TABLE job DROP flops_any_avg;\n 32→ALTER TABLE job DROP mem_bw_avg;\n 33→ALTER TABLE job DROP mem_used_max;\n 34→ALTER TABLE job DROP load_avg;\n 35→ALTER TABLE job DROP net_bw_avg;\n 36→ALTER TABLE job DROP net_data_vol_total;\n 37→ALTER TABLE job DROP file_bw_avg;\n 38→ALTER TABLE job DROP file_data_vol_total;\n 39→\n 40→-- Indices for: Single filters, combined filters, sorting, sorting with filters\n 41→-- Cluster Filter\n 42→CREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);\n 43→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 44→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 45→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 46→-- Cluster Filter Sorting\n 47→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);\n 48→CREATE INDEX IF NOT EXISTS jobs_cluster_duration ON job (cluster, duration);\n 49→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 50→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 51→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 52→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 53→\n 54→-- Cluster+Partition Filter\n 55→CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n 56→-- Cluster+Partition Filter Sorting\n 57→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n 58→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n 59→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 60→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 61→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 62→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 63→\n 64→-- Cluster+Partition+Jobstate Filter\n 65→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 66→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n 67→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n 68→-- Cluster+Partition+Jobstate Filter Sorting\n 69→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n 70→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n 71→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n 72→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n 73→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n 74→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);\n 75→\n 76→-- Cluster+JobState Filter\n 77→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);\n 78→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 79→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 80→-- Cluster+JobState Filter Sorting\n 81→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);\n 82→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration ON job (cluster, job_state, duration);\n 83→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 84→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 85→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 86→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 87→\n 88→-- User Filter\n 89→CREATE INDEX IF NOT EXISTS jobs_user ON job (hpc_user);\n 90→-- User Filter Sorting\n 91→CREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (hpc_user, start_time);\n 92→CREATE INDEX IF NOT EXISTS jobs_user_duration ON job (hpc_user, duration);\n 93→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 94→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 95→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 96→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 97→\n 98→-- Project Filter\n 99→CREATE INDEX IF NOT EXISTS jobs_project ON job (project);\n 100→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 101→-- Project Filter Sorting\n 102→CREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);\n 103→CREATE INDEX IF NOT EXISTS jobs_project_duration ON job (project, duration);\n 104→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 105→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 106→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 107→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 108→\n 109→-- JobState Filter\n 110→CREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);\n 111→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 112→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 113→CREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);\n 114→-- JobState Filter Sorting\n 115→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);\n 116→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration ON job (job_state, duration);\n 117→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 118→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 119→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 120→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 121→\n 122→-- ArrayJob Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 125→\n 126→-- Sorting without active filters\n 127→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 128→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 129→CREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);\n 130→CREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);\n 131→CREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);\n 132→CREATE INDEX IF NOT EXISTS jobs_energy ON job (energy);\n 133→\n 134→-- Single filters with default starttime sorting\n 135→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 136→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 137→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 138→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 139→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 140→\n 141→-- Optimize DB index usage\n 142→PRAGMA optimize;\n 143→"}]},"uuid":"2207b0c1-61a8-4558-a958-604915153cb9","timestamp":"2026-03-12T11:45:44.600Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"966a447e-a444-4315-8391-3baefad6453e","timestamp":"2026-03-12T11:45:44.608Z"} 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+{"parentUuid":"d55c1393-c83e-4c54-87e6-24cfba316f0c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HuVDTSezKjY982Wyhv9RZQ","type":"tool_result","content":"17:ALTER TABLE \"user\" RENAME TO hpc_user;\n18:ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n19:ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n43:CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n55:CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n57:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n58:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n59:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n60:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n61:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n62:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n65:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n66:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n67:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n69:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n70:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n71:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n72:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n73:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n74:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);","is_error":false}]},"uuid":"0b54865e-1b5e-418c-b4ef-c67a976f8b1b","timestamp":"2026-03-12T11:45:47.049Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6d21d09b-51c1-4f76-a1c8-f648d15cd41c","timestamp":"2026-03-12T11:45:47.049Z"} 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+{"parentUuid":"4a035b40-7005-47d8-a77a-ce4f78825820","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VHKkqMRXWctHAsUi7Yk61B","type":"tool_result","content":"36-var routes []Route = []Route{\n37-\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n38-\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n39-\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n40-\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job - ClusterCockpit\", false, setupJobRoute},\n41:\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n42-\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n43-\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n44:\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User - ClusterCockpit\", true, setupUserRoute},\n45-\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n46-\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster Node List - ClusterCockpit\", false, setupClusterListRoute},\n47-\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster Node List - ClusterCockpit\", false, setupClusterListRoute},\n48-\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node - ClusterCockpit\", false, setupNodeRoute},\n49-\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n--\n538-\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n539-\n540-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) / All Users: Redirect to Tablequery\n541-\t\t\tcase \"username\":\n542-\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n543:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n544-\t\t\t\t} else {\n545-\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n546-\t\t\t\t}\n547-\t\t\tcase \"name\":\n548-\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n549-\t\t\t\tif len(usernames) != 0 {\n550-\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n551:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n552-\t\t\t\t} else {\n553-\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n554:\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n555-\t\t\t\t\t} else {\n556-\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n557-\t\t\t\t\t}\n558-\t\t\t\t}\n559-\t\t\tdefault:\n--\n564-\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n565-\n566-\t\t\tif jobid != \"\" {\n567-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n568-\t\t\t} else if username != \"\" {\n569:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n570-\t\t\t} else if project != \"\" {\n571-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n572-\t\t\t} else if jobname != \"\" {\n573-\t\t\t\t// Add Last 30 Days to migitate timeouts\n574-\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 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\n 3→{{end}}\n 4→\n 5→{{define \"stylesheets\"}}\n 6→ \n 7→{{end}}\n 8→{{define \"javascript\"}}\n 9→ \n 14→ \n 15→{{end}}\n 16→"}]},"uuid":"0d261087-3e68-448f-adac-05160a3b2d36","timestamp":"2026-03-12T11:45:54.379Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6fe1854a-31f9-4820-8708-284c0d688c75","timestamp":"2026-03-12T11:45:54.390Z"} +{"parentUuid":"6fe1854a-31f9-4820-8708-284c0d688c75","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:55.994Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Gu8tps1eWYVGr81u9rwmiz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012eG73AVRX3rLMGVVqfRda1","name":"Bash","input":{"command":"grep -n \"FilterPresets\\|setupListRoute\\|monitoring/list\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":311,"cache_read_input_tokens":61678,"cache_creation":{"ephemeral_5m_input_tokens":311,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WNg9aotmJoSJebqcF","uuid":"2fc93a04-ce1e-4e33-845b-a047802455ef"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"827bcd41-4ad6-4e3c-a314-e1adcdbb673a","timestamp":"2026-03-12T11:45:55.995Z"} +{"parentUuid":"827bcd41-4ad6-4e3c-a314-e1adcdbb673a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012eG73AVRX3rLMGVVqfRda1","type":"tool_result","content":"41:\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n42:\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n235:func buildFilterPresets(query url.Values) map[string]any {\n507:\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())","is_error":false}]},"uuid":"d342b42a-a48d-4e01-95d5-75013cc5ea95","timestamp":"2026-03-12T11:45:56.030Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"51f892f1-9c2b-4e6c-8dec-a7a047790c47","timestamp":"2026-03-12T11:45:56.031Z"} +{"parentUuid":"51f892f1-9c2b-4e6c-8dec-a7a047790c47","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:57.860Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011v8yvhWFGfS3vUmuShKw9r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018chEozHHx37kWsMnzhYz5o","name":"Grep","input":{"pattern":"func buildFilterPresets","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","output_mode":"content","context":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":334,"cache_read_input_tokens":61989,"cache_creation":{"ephemeral_5m_input_tokens":334,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WVfqb2cTKMQVeK4WG","uuid":"685a02e4-9be3-4315-aa7f-fe445c759c54"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f30f6d21-927b-4020-90b6-84a8ee42557e","timestamp":"2026-03-12T11:45:57.861Z"} +{"parentUuid":"f30f6d21-927b-4020-90b6-84a8ee42557e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018chEozHHx37kWsMnzhYz5o","type":"tool_result","content":"205-\tif userAuthlevel >= 4 { / Support+ : Show tags for all scopes, regardless of count\n206-\t\tfor _, tag := range tags {\n207-\t\t\ttagItem := map[string]any{\n208-\t\t\t\t\"id\": tag.ID,\n209-\t\t\t\t\"name\": tag.Name,\n210-\t\t\t\t\"scope\": tag.Scope,\n211-\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n212-\t\t\t}\n213-\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n214-\t\t}\n215-\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { / User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n216-\t\tfor _, tag := range tags {\n217-\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n218-\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n219-\t\t\t\ttagItem := map[string]any{\n220-\t\t\t\t\t\"id\": tag.ID,\n221-\t\t\t\t\t\"name\": tag.Name,\n222-\t\t\t\t\t\"scope\": tag.Scope,\n223-\t\t\t\t\t\"count\": tagCount,\n224-\t\t\t\t}\n225-\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n226-\t\t\t}\n227-\t\t}\n228-\t} // auth < 2 return nothing for this route\n229-\n230-\ti[\"tagmap\"] = tagMap\n231-\treturn i\n232-}\n233-\n234-/ FIXME: Lots of redundant code. Needs refactoring\n235:func buildFilterPresets(query url.Values) map[string]any {\n236-\tfilterPresets := map[string]any{}\n237-\n238-\tif query.Get(\"cluster\") != \"\" {\n239-\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n240-\t}\n241-\tif query.Get(\"partition\") != \"\" {\n242-\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n243-\t}\n244-\tif query.Get(\"project\") != \"\" {\n245-\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n246-\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n247-\t}\n248-\tif query.Get(\"jobName\") != \"\" {\n249-\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n250-\t}\n251-\tif len(query[\"user\"]) != 0 {\n252-\t\tif len(query[\"user\"]) == 1 {\n253-\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n254-\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n255-\t\t} else {\n256-\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n257-\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n258-\t\t}\n259-\t}\n260-\tif len(query[\"state\"]) != 0 {\n261-\t\tfilterPresets[\"state\"] = query[\"state\"]\n262-\t}\n263-\tif query.Get(\"shared\") != \"\" {\n264-\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n265-\t}"}]},"uuid":"afe1f0de-00af-4dd1-bd75-2eacb5d5cad5","timestamp":"2026-03-12T11:45:57.882Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"080b77bb-1cb1-498f-8901-5d7827c8538f","timestamp":"2026-03-12T11:45:57.883Z"} +{"parentUuid":"080b77bb-1cb1-498f-8901-5d7827c8538f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:00.706Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TPCiRRrnz1PveRwEF8DnK5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CMeiHLLitHFb1N4FqiE1FD","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","offset":235,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1012,"cache_read_input_tokens":62323,"cache_creation":{"ephemeral_5m_input_tokens":1012,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8Wdca7UXZUX47tUg6f","uuid":"a43d55ec-12e3-42b0-beea-50d4294a744d"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"c41f9a9b-f8df-40cf-be33-30ecf0b10516","timestamp":"2026-03-12T11:46:00.707Z"} +{"parentUuid":"c41f9a9b-f8df-40cf-be33-30ecf0b10516","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CMeiHLLitHFb1N4FqiE1FD","type":"tool_result","content":" 235→func buildFilterPresets(query url.Values) map[string]any {\n 236→\tfilterPresets := map[string]any{}\n 237→\n 238→\tif query.Get(\"cluster\") != \"\" {\n 239→\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n 240→\t}\n 241→\tif query.Get(\"partition\") != \"\" {\n 242→\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n 243→\t}\n 244→\tif query.Get(\"project\") != \"\" {\n 245→\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n 246→\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n 247→\t}\n 248→\tif query.Get(\"jobName\") != \"\" {\n 249→\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n 250→\t}\n 251→\tif len(query[\"user\"]) != 0 {\n 252→\t\tif len(query[\"user\"]) == 1 {\n 253→\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n 254→\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n 255→\t\t} else {\n 256→\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n 257→\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n 258→\t\t}\n 259→\t}\n 260→\tif len(query[\"state\"]) != 0 {\n 261→\t\tfilterPresets[\"state\"] = query[\"state\"]\n 262→\t}\n 263→\tif query.Get(\"shared\") != \"\" {\n 264→\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n 265→\t}\n 266→\tif query.Get(\"schedule\") != \"\" {\n 267→\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n 268→\t}\n 269→\tif rawtags, ok := query[\"tag\"]; ok {\n 270→\t\ttags := make([]int, len(rawtags))\n 271→\t\tfor i, tid := range rawtags {\n 272→\t\t\tvar err error\n 273→\t\t\ttags[i], err = strconv.Atoi(tid)\n 274→\t\t\tif err != nil {\n 275→\t\t\t\ttags[i] = -1\n 276→\t\t\t}\n 277→\t\t}\n 278→\t\tfilterPresets[\"tags\"] = tags\n 279→\t}\n 280→\tif query.Get(\"duration\") != \"\" {\n 281→\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n 282→\t\tif len(parts) == 2 {\n 283→\t\t\tif parts[0] == \"lessthan\" {\n 284→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 285→\t\t\t\tif lte == nil {\n 286→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n 287→\t\t\t\t}\n 288→\t\t\t} else if parts[0] == \"morethan\" {\n 289→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 290→\t\t\t\tif mte == nil {\n 291→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n 292→\t\t\t\t}\n 293→\t\t\t} else {\n 294→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 295→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 296→\t\t\t\tif e1 == nil && e2 == nil {\n 297→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n 298→\t\t\t\t}\n 299→\t\t\t}\n 300→\t\t}\n 301→\t}\n 302→\tif query.Get(\"node\") != \"\" {\n 303→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n 304→\t}\n 305→\tif query.Get(\"numNodes\") != \"\" {\n 306→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n 307→\t\tif len(parts) == 2 {\n 308→\t\t\tif parts[0] == \"lessthan\" {\n 309→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 310→\t\t\t\tif lte == nil {\n 311→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n 312→\t\t\t\t}\n 313→\t\t\t} else if parts[0] == \"morethan\" {\n 314→\t\t\t\tmt, mte := strconv.Atoi(parts[1])"}]},"uuid":"fbf82b86-6ed3-4c09-a57e-4eae9447423a","timestamp":"2026-03-12T11:46:00.732Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"af72b628-7428-408e-b97e-df68bf99f366","timestamp":"2026-03-12T11:46:00.800Z"} +{"parentUuid":"af72b628-7428-408e-b97e-df68bf99f366","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:02.649Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SMgnVD1KoTS9gXCkqVYahH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XoFfBePZmigwwTjbh8EXJ6","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","offset":300,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1687,"cache_read_input_tokens":63335,"cache_creation":{"ephemeral_5m_input_tokens":1687,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WrE6dehKNV87XCuDm","uuid":"fd26497b-c349-4de5-baff-755090af241a"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"83fb17db-ea36-4484-91fc-100539bd1dc2","timestamp":"2026-03-12T11:46:02.649Z"} +{"parentUuid":"83fb17db-ea36-4484-91fc-100539bd1dc2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoFfBePZmigwwTjbh8EXJ6","type":"tool_result","content":" 300→\t\t}\n 301→\t}\n 302→\tif query.Get(\"node\") != \"\" {\n 303→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n 304→\t}\n 305→\tif query.Get(\"numNodes\") != \"\" {\n 306→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n 307→\t\tif len(parts) == 2 {\n 308→\t\t\tif parts[0] == \"lessthan\" {\n 309→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 310→\t\t\t\tif lte == nil {\n 311→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n 312→\t\t\t\t}\n 313→\t\t\t} else if parts[0] == \"morethan\" {\n 314→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 315→\t\t\t\tif mte == nil {\n 316→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n 317→\t\t\t\t}\n 318→\t\t\t} else {\n 319→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 320→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 321→\t\t\t\tif e1 == nil && e2 == nil {\n 322→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\tif query.Get(\"numHWThreads\") != \"\" {\n 328→\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n 329→\t\tif len(parts) == 2 {\n 330→\t\t\tif parts[0] == \"lessthan\" {\n 331→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 332→\t\t\t\tif lte == nil {\n 333→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n 334→\t\t\t\t}\n 335→\t\t\t} else if parts[0] == \"morethan\" {\n 336→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 337→\t\t\t\tif mte == nil {\n 338→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n 339→\t\t\t\t}\n 340→\t\t\t} else {\n 341→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 342→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 343→\t\t\t\tif e1 == nil && e2 == nil {\n 344→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n 345→\t\t\t\t}\n 346→\t\t\t}\n 347→\t\t}\n 348→\t}\n 349→\tif query.Get(\"numAccelerators\") != \"\" {\n 350→\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n 351→\t\tif len(parts) == 2 {\n 352→\t\t\tif parts[0] == \"lessthan\" {\n 353→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 354→\t\t\t\tif lte == nil {\n 355→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n 356→\t\t\t\t}\n 357→\t\t\t} else if parts[0] == \"morethan\" {\n 358→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 359→\t\t\t\tif mte == nil {\n 360→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n 361→\t\t\t\t}\n 362→\t\t\t} else {\n 363→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 364→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 365→\t\t\t\tif e1 == nil && e2 == nil {\n 366→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n 367→\t\t\t\t}\n 368→\t\t\t}\n 369→\t\t}\n 370→\t}\n 371→\tif len(query[\"dbId\"]) != 0 {\n 372→\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n 373→\t}\n 374→\tif query.Get(\"jobId\") != \"\" {\n 375→\t\tif len(query[\"jobId\"]) == 1 {\n 376→\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n 377→\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n 378→\t\t} else {\n 379→\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]"}]},"uuid":"ac4ecd24-b46e-4fce-a7c4-58cd90f0d12c","timestamp":"2026-03-12T11:46:02.660Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"b920217f-ac38-4b56-82df-8906a995517c","timestamp":"2026-03-12T11:46:02.675Z"} +{"parentUuid":"b920217f-ac38-4b56-82df-8906a995517c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:05.056Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DSPjTc7aHL2NnPZQyB465u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SGcXfwvAY1stpcwKW85ysi","name":"Grep","input":{"pattern":"startTime|query.Get","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","output_mode":"content","context":2,"head_limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1423,"cache_read_input_tokens":65022,"cache_creation":{"ephemeral_5m_input_tokens":1423,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8Wz7s9ZZnEi7g78nQc","uuid":"eaf3d5d7-12a3-4748-9b25-b0274fbc8dc4"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f6692360-7af0-415a-9c7d-70cc844ebfb4","timestamp":"2026-03-12T11:46:05.057Z"} +{"parentUuid":"f6692360-7af0-415a-9c7d-70cc844ebfb4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SGcXfwvAY1stpcwKW85ysi","type":"tool_result","content":"236-\tfilterPresets := map[string]any{}\n237-\n238:\tif query.Get(\"cluster\") != \"\" {\n239:\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n240-\t}\n241:\tif query.Get(\"partition\") != \"\" {\n242:\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n243-\t}\n244:\tif query.Get(\"project\") != \"\" {\n245:\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n246-\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n247-\t}\n248:\tif query.Get(\"jobName\") != \"\" {\n249:\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n250-\t}\n251-\tif len(query[\"user\"]) != 0 {\n252-\t\tif len(query[\"user\"]) == 1 {\n253:\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n254-\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n255-\t\t} else {\n--\n261-\t\tfilterPresets[\"state\"] = query[\"state\"]\n262-\t}\n263:\tif query.Get(\"shared\") != \"\" {\n264:\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n265-\t}\n266:\tif query.Get(\"schedule\") != \"\" {\n267:\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n268-\t}\n269-\tif rawtags, ok := query[\"tag\"]; ok {\n\n[Showing results with pagination = limit: 30, offset: 0]"}]},"uuid":"8bf01b63-c072-46c4-8c49-544611dd8871","timestamp":"2026-03-12T11:46:05.077Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f6efedc0-d446-4f26-a229-1d4a11d65146","timestamp":"2026-03-12T11:46:05.090Z"} 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-20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":592,"cache_read_input_tokens":66445,"cache_creation":{"ephemeral_5m_input_tokens":592,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8XARjJnyfPcC7CBPrU","uuid":"7c9b9410-74fc-49b3-b494-076eb37e2b07"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"ff4f1b07-dd78-4fb5-9bfc-d60b31241d67","timestamp":"2026-03-12T11:46:06.257Z"} +{"parentUuid":"ff4f1b07-dd78-4fb5-9bfc-d60b31241d67","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KM4iyY8YzW8yiS63ERCGkB","type":"tool_result","content":"388:\tif query.Get(\"startTime\") != \"\" {\n389:\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n394:\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n400:\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n401:\t\t\t\t\"range\": query.Get(\"startTime\"),\n530:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n532:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n538:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n540:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n543:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n551:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n554:\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n575:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n577:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)","is_error":false}]},"uuid":"7205366d-9497-4ba0-bf4f-1a3269714e1d","timestamp":"2026-03-12T11:46:06.305Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f4e1dd73-e638-4947-b05f-d5865be9805a","timestamp":"2026-03-12T11:46:06.306Z"} +{"parentUuid":"f4e1dd73-e638-4947-b05f-d5865be9805a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:09.826Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01KFZCgocbThnsNWNMTEAfxQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PfJSrsRMdD7Yx9wWDQvC6K","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","offset":388,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":931,"cache_read_input_tokens":67037,"cache_creation":{"ephemeral_5m_input_tokens":931,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8XFcXBXov9WQo4ntya","uuid":"76fa7a03-dafe-4d58-b423-2ec377cbe93d"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"86456818-e43a-4883-b58e-aa791a851234","timestamp":"2026-03-12T11:46:09.826Z"} +{"parentUuid":"86456818-e43a-4883-b58e-aa791a851234","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PfJSrsRMdD7Yx9wWDQvC6K","type":"tool_result","content":" 388→\tif query.Get(\"startTime\") != \"\" {\n 389→\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n 390→\t\tif len(parts) == 2 { // Time in seconds, from - to\n 391→\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n 392→\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n 393→\t\t\tif e1 == nil && e2 == nil {\n 394→\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n 395→\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n 396→\t\t\t\t\t\"to\": time.Unix(b, 0).Format(time.RFC3339),\n 397→\t\t\t\t}\n 398→\t\t\t}\n 399→\t\t} else { // named range\n 400→\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n 401→\t\t\t\t\"range\": query.Get(\"startTime\"),\n 402→\t\t\t}\n 403→\t\t}\n 404→\t}\n 405→\tif query.Get(\"energy\") != \"\" {\n 406→\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n 407→\t\tif len(parts) == 2 {\n 408→\t\t\tif parts[0] == \"lessthan\" {\n 409→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 410→\t\t\t\tif lte == nil {\n 411→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n 412→\t\t\t\t}\n 413→\t\t\t} else if parts[0] == \"morethan\" {\n 414→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 415→\t\t\t\tif mte == nil {\n 416→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n 417→\t\t\t\t}"}]},"uuid":"cb0163d7-3092-40be-b148-4d4832855b21","timestamp":"2026-03-12T11:46:09.832Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"c367fbf0-76fc-422c-8c79-0e493b30dc30","timestamp":"2026-03-12T11:46:09.833Z"} +{"parentUuid":"c367fbf0-76fc-422c-8c79-0e493b30dc30","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:11.676Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01NWaVcqgQDMAYvVTNrRsBeN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PGbb1iKmrwg1wncXfXnJJ8","name":"Grep","input":{"pattern":"applyFilters|updateFilters","path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/Filters.svelte","output_mode":"content","context":5,"head_limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":651,"cache_read_input_tokens":67968,"cache_creation":{"ephemeral_5m_input_tokens":651,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8XWhsnupmaAMqTVgaj","uuid":"3a1862ed-5e7b-4822-8f52-a053167070eb"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"46f4f36c-6136-4cbf-85c5-0e6cc83019b3","timestamp":"2026-03-12T11:46:11.676Z"} +{"parentUuid":"46f4f36c-6136-4cbf-85c5-0e6cc83019b3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PGbb1iKmrwg1wncXfXnJJ8","type":"tool_result","content":"8- - `startTimeQuickSelect Bool?`: Render startTime quick selections [Default: false]\n9- - `shortJobQuickSelect Bool?`: Render short job quick selections [Default: false]\n10- - `shortJobCutoff Int?`: Time in seconds for jobs to be considered short [Default: null]\n11- - `matchedJobs Number?`: Number of jobs matching the filter [Default: -2]\n12- - `showFilter Func`: If the filter component should be rendered in addition to total count info [Default: true]\n13: - `applyFilters Func`: The callback function to apply current filter selection\n14- \n15- Functions:\n16: - `void updateFilters (additionalFilters: Object, force: Bool)`:\n17- Handles new filters from nested components, triggers upstream update event. \n18- 'additionalFilters' usually added to existing selection, but can be forced to overwrite instead.\n19--->\n20-\n21-\n 172→\n 173→\n 174→ \n 175→ \n 176→ \n 179→ \n 186→ exportCsv()}\n 191→ >\n 192→ CSV\n 193→ \n 194→ \n 195→ \n 196→ \n 197→ {\n 203→ jobFilters = detail.filters;\n 204→ }}\n 205→ />\n 206→ \n 207→\n 208→\n 209→ \n 210→ \n 211→ \n 230→ {#if type == \"USER\"}\n 231→ \n 245→ {/if}\n 246→ \n 261→ \n 283→ {#if fetchRunning}\n 284→ \n 299→ \n 314→ {/if}\n 315→ \n 329→ \n 343→ \n 357→ \n 358→ \n 359→ \n 360→ {#if $stats.fetching}\n 361→ \n 362→ \n 363→ \n 364→ {:else if $stats.error}\n 365→ \n 366→ \n 371→ {:else if $stats.data}\n 372→ {#each paginatedRows as row (row.id)}\n 373→ \n 374→ \n 387→ {#if type == \"USER\"}\n 388→ {scrambleNames\n 390→ ? scramble(row?.name ? row.name : \"-\")\n 391→ : row?.name\n 392→ ? row.name\n 393→ : \"-\"}\n 395→ {/if}\n 396→ \n 397→ \n 398→ {#if fetchRunning}\n 399→ \n 400→ \n 401→ {/if}\n 402→ \n 403→ \n 404→ \n 405→ \n 406→ {:else}\n 407→ \n 408→ \n 409→ \n 410→ {/each}\n 411→ {/if}\n 412→ \n 413→
\n 212→ {#if type === 'USER'}\n 213→ Username\n 214→ {:else if type === 'PROJECT'}\n 215→ Project Name\n 216→ {/if}\n 217→ changeSorting(\"id\")}\n 221→ >\n 222→ {#if sorting?.field == \"id\"}\n 223→ \n 224→ \n 225→ {:else}\n 226→ \n 227→ {/if}\n 228→ \n 229→ \n 232→ Name\n 233→ changeSorting(\"name\")}\n 237→ >\n 238→ {#if sorting?.field == \"name\"}\n 239→ \n 240→ {:else}\n 241→ \n 242→ {/if}\n 243→ \n 244→ \n 247→ Total Jobs\n 248→ changeSorting(\"totalJobs\")}\n 252→ >\n 253→ {#if sorting?.field == \"totalJobs\"}\n 254→ \n 255→ \n 256→ {:else}\n 257→ \n 258→ {/if}\n 259→ \n 260→ \n 262→ \n 263→ Short Jobs\n 264→ \n 265→ \n 266→ \n 267→ Job duration less than {formatDurationTime(shortDuration)}\n 268→ \n 269→   \n 270→ changeSorting(\"shortJobs\")}\n 274→ >\n 275→ {#if sorting?.field == \"shortJobs\"}\n 276→ \n 277→ \n 278→ {:else}\n 279→ \n 280→ {/if}\n 281→ \n 282→ \n 285→ Total Cores\n 286→ changeSorting(\"totalCores\")}\n 290→ >\n 291→ {#if sorting?.field == \"totalJCores\"}\n 292→ \n 293→ \n 294→ {:else}\n 295→ \n 296→ {/if}\n 297→ \n 298→ \n 300→ Total Accelerators\n 301→ changeSorting(\"totalAccs\")}\n 305→ >\n 306→ {#if sorting?.field == \"totalAccs\"}\n 307→ \n 308→ \n 309→ {:else}\n 310→ \n 311→ {/if}\n 312→ \n 313→ \n 316→ Total Walltime\n 317→ changeSorting(\"totalWalltime\")}\n 321→ >\n 322→ {#if sorting?.field == \"totalWalltime\"}\n 323→ \n 324→ {:else}\n 325→ \n 326→ {/if}\n 327→ \n 328→ \n 330→ Total Core Hours\n 331→ changeSorting(\"totalCoreHours\")}\n 335→ >\n 336→ {#if sorting?.field == \"totalCoreHours\"}\n 337→ \n 338→ {:else}\n 339→ \n 340→ {/if}\n 341→ \n 342→ \n 344→ Total Accelerator Hours\n 345→ changeSorting(\"totalAccHours\")}\n 349→ >\n 350→ {#if sorting?.field == \"totalAccHours\"}\n 351→ \n 352→ {:else}\n 353→ \n 354→ {/if}\n 355→ \n 356→
{$stats.error.message}\n 370→
\n 375→ {#if type == \"USER\"}\n 376→ {scrambleNames ? scramble(row.id) : row.id}\n 379→ {:else if type == \"PROJECT\"}\n 380→ {scrambleNames ? scramble(row.id) : row.id}\n 383→ {:else}\n 384→ {row.id}\n 385→ {/if}\n 386→ {row.totalJobs}{row.shortJobs}{row.totalCores}{row.totalAccs}{row.totalWalltime}{row.totalCoreHours}{row.totalAccHours}
No {type.toLowerCase()}s/jobs found
\n 414→{#if sortedRows.length > 0}\n 415→ {\n 422→ itemsPerPage = detail.itemsPerPage;\n 423→ page = detail.page;\n 424→ }}\n 425→ />\n 426→{/if}\n 427→"}]},"uuid":"1edf3962-6d6c-4f7c-8be3-a8573a649c14","timestamp":"2026-03-12T11:45:11.430Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"ce853454-313c-4896-8f02-dbeec41cf507","timestamp":"2026-03-12T11:45:11.577Z"} 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[JobStats!]!"}]},"uuid":"0ab0ed4d-c54d-4ca2-bc77-922243ee0c48","timestamp":"2026-03-12T11:45:13.899Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"25537032-d9ae-462f-969f-85dd8ca520dc","timestamp":"2026-03-12T11:45:14.086Z"} 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+{"parentUuid":"76b0e7b2-80fb-4f60-ae26-5695cb87a4cb","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SZs8jnxZZK7jGqd8J8Tg2B","type":"tool_result","content":" 1→scalar Time\n 2→scalar Any\n 3→\n 4→scalar NullableFloat\n 5→scalar MetricScope\n 6→scalar JobState\n 7→scalar SchedulerState\n 8→scalar MonitoringState\n 9→\n 10→type Node {\n 11→ id: ID!\n 12→ hostname: String!\n 13→ cluster: String!\n 14→ subCluster: String!\n 15→ jobsRunning: Int!\n 16→ cpusAllocated: Int\n 17→ memoryAllocated: Int\n 18→ gpusAllocated: Int\n 19→ schedulerState: SchedulerState!\n 20→ healthState: MonitoringState!\n 21→ metaData: Any\n 22→ healthData: Any\n 23→}\n 24→\n 25→type NodeStates {\n 26→ state: String!\n 27→ count: Int!\n 28→}\n 29→\n 30→type NodeStatesTimed {\n 31→ state: String!\n 32→ counts: [Int!]!\n 33→ times: [Int!]!\n 34→}\n 35→\n 36→type Job {\n 37→ id: ID!\n 38→ jobId: Int!\n 39→ user: String!\n 40→ project: String!\n 41→ cluster: String!\n 42→ subCluster: String!\n 43→ startTime: Time!\n 44→ duration: Int!\n 45→ walltime: Int!\n 46→ numNodes: Int!\n 47→ numHWThreads: Int!\n 48→ numAcc: Int!\n 49→ energy: Float!\n 50→ SMT: Int!\n 51→ shared: String!\n 52→ partition: String!\n 53→ arrayJobId: Int!\n 54→ monitoringStatus: Int!\n 55→ state: JobState!\n 56→ tags: [Tag!]!\n 57→ resources: [Resource!]!\n 58→ concurrentJobs: JobLinkResultList\n 59→ footprint: [FootprintValue]\n 60→ energyFootprint: [EnergyFootprintValue]\n 61→ metaData: Any\n 62→ userData: User\n 63→}\n 64→\n 65→type JobLink {\n 66→ id: ID!\n 67→ jobId: Int!\n 68→}\n 69→\n 70→type Cluster {\n 71→ name: String!\n 72→ partitions: [String!]! # Slurm partitions\n 73→ subClusters: [SubCluster!]! # Hardware partitions/subclusters\n 74→}\n 75→\n 76→type SubCluster {\n 77→ name: String!\n 78→ nodes: String!\n 79→ numberOfNodes: Int!\n 80→ processorType: String!\n 81→ socketsPerNode: Int!\n 82→ coresPerSocket: Int!\n 83→ threadsPerCore: Int!\n 84→ flopRateScalar: MetricValue!\n 85→ flopRateSimd: MetricValue!\n 86→ memoryBandwidth: MetricValue!\n 87→ topology: Topology!\n 88→ metricConfig: [MetricConfig!]!\n 89→ footprint: [String!]!\n 90→}\n 91→\n 92→type FootprintValue {\n 93→ name: String!\n 94→ stat: String!\n 95→ value: Float!\n 96→}\n 97→\n 98→type EnergyFootprintValue {\n 99→ hardware: String!\n 100→ metric: String!\n 101→ value: Float!\n 102→}\n 103→\n 104→type MetricValue {\n 105→ name: String\n 106→ unit: Unit!\n 107→ value: Float!\n 108→}\n 109→\n 110→type Topology {\n 111→ node: [Int!]\n 112→ socket: [[Int!]!]\n 113→ memoryDomain: [[Int!]!]\n 114→ die: [[Int!]!]\n 115→ core: [[Int!]!]\n 116→ accelerators: [Accelerator!]\n 117→}\n 118→\n 119→type Accelerator {\n 120→ id: String!\n 121→ type: String!\n 122→ model: String!\n 123→}\n 124→\n 125→type SubClusterConfig {\n 126→ name: String!\n 127→ peak: Float\n 128→ normal: Float\n 129→ caution: Float\n 130→ alert: Float\n 131→ remove: Boolean\n 132→}\n 133→\n 134→type MetricConfig {\n 135→ name: String!\n 136→ unit: Unit!\n 137→ scope: MetricScope!\n 138→ aggregation: String!\n 139→ timestep: Int!\n 140→ peak: Float!\n 141→ normal: Float\n 142→ caution: Float!\n 143→ alert: Float!\n 144→ lowerIsBetter: Boolean\n 145→ subClusters: [SubClusterConfig!]!\n 146→}\n 147→\n 148→type Tag {\n 149→ id: ID!\n 150→ type: String!\n 151→ name: String!\n 152→ scope: String!\n 153→}\n 154→\n 155→type Resource {\n 156→ hostname: String!\n 157→ hwthreads: [Int!]\n 158→ accelerators: [String!]\n 159→ configuration: String\n 160→}\n 161→\n 162→type JobMetricWithName {\n 163→ name: String!\n 164→ scope: MetricScope!\n 165→ metric: JobMetric!\n 166→}\n 167→\n 168→type ClusterMetricWithName {\n 169→ name: String!\n 170→ unit: Unit\n 171→ timestep: Int!\n 172→ data: [NullableFloat!]!\n 173→}\n 174→\n 175→type JobMetric {\n 176→ unit: Unit\n 177→ timestep: Int!\n 178→ series: [Series!]\n 179→ statisticsSeries: StatsSeries\n 180→}\n 181→\n 182→type Series {\n 183→ hostname: String!\n 184→ id: String\n 185→ statistics: MetricStatistics\n 186→ data: [NullableFloat!]!\n 187→}\n 188→\n 189→type StatsSeries {\n 190→ mean: [NullableFloat!]!\n 191→ median: [NullableFloat!]!\n 192→ min: [NullableFloat!]!\n 193→ max: [NullableFloat!]!\n 194→}\n 195→\n 196→type NamedStatsWithScope {\n 197→ name: String!\n 198→ scope: MetricScope!\n 199→ stats: [ScopedStats!]!\n 200→}\n 201→\n 202→type ScopedStats {\n 203→ hostname: String!\n 204→ id: String\n 205→ data: MetricStatistics!\n 206→}\n 207→\n 208→type JobStats {\n 209→ id: Int!\n 210→ jobId: String!\n 211→ startTime: Int!\n 212→ duration: Int!\n 213→ cluster: String!\n 214→ subCluster: String!\n 215→ numNodes: Int!\n 216→ numHWThreads: Int\n 217→ numAccelerators: Int\n 218→ stats: [NamedStats!]!\n 219→}\n 220→\n 221→type NamedStats {\n 222→ name: String!\n 223→ data: MetricStatistics!\n 224→}\n 225→\n 226→type Unit {\n 227→ base: String!\n 228→ prefix: String\n 229→}\n 230→\n 231→type MetricStatistics {\n 232→ avg: Float!\n 233→ min: Float!\n 234→ max: Float!\n 235→}\n 236→\n 237→type MetricFootprints {\n 238→ metric: String!\n 239→ data: [NullableFloat!]!\n 240→}\n 241→\n 242→type Footprints {\n 243→ timeWeights: TimeWeights!\n 244→ metrics: [MetricFootprints!]!\n 245→}\n 246→\n 247→type TimeWeights {\n 248→ nodeHours: [NullableFloat!]!\n 249→ accHours: [NullableFloat!]!\n 250→ coreHours: [NullableFloat!]!\n 251→}\n 252→\n 253→enum Aggregate {\n 254→ USER\n 255→ PROJECT\n 256→ CLUSTER\n 257→ SUBCLUSTER\n 258→}\n 259→enum SortByAggregate {\n 260→ TOTALWALLTIME\n 261→ TOTALJOBS\n 262→ TOTALUSERS\n 263→ TOTALNODES\n 264→ TOTALNODEHOURS\n 265→ TOTALCORES\n 266→ TOTALCOREHOURS\n 267→ TOTALACCS\n 268→ TOTALACCHOURS\n 269→}\n 270→\n 271→type NodeMetrics {\n 272→ host: String!\n 273→ state: String!\n 274→ subCluster: String!\n 275→ metrics: [JobMetricWithName!]!\n 276→}\n 277→\n 278→type ClusterMetrics {\n 279→ nodeCount: Int!\n 280→ metrics: [ClusterMetricWithName!]!\n 281→}\n 282→\n 283→type NodesResultList {\n 284→ items: [NodeMetrics!]!\n 285→ offset: Int\n 286→ limit: Int\n 287→ count: Int\n 288→ totalNodes: Int\n 289→ hasNextPage: Boolean\n 290→}\n 291→\n 292→type ClusterSupport {\n 293→ cluster: String!\n 294→ subClusters: [String!]!\n 295→}\n 296→\n 297→type GlobalMetricListItem {\n 298→ name: String!\n 299→ unit: Unit!\n 300→ scope: MetricScope!\n 301→ footprint: String\n 302→ availability: [ClusterSupport!]!\n 303→}\n 304→\n 305→type Count {\n 306→ name: String!\n 307→ count: Int!\n 308→}\n 309→\n 310→type User {\n 311→ username: String!\n 312→ name: String!\n 313→ email: String!\n 314→}\n 315→\n 316→input MetricStatItem {\n 317→ metricName: String!\n 318→ range: FloatRange!\n 319→}\n 320→\n 321→type Query {\n 322→ clusters: [Cluster!]! # List of all clusters\n 323→ tags: [Tag!]! # List of all tags\n 324→ globalMetrics: [GlobalMetricListItem!]!\n 325→\n 326→ user(username: String!): User\n 327→ allocatedNodes(cluster: String!): [Count!]!\n 328→\n 329→ ## Node Queries New\n 330→ node(id: ID!): Node\n 331→ nodes(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n 332→ nodesWithMeta(filter: [NodeFilter!], order: OrderByInput): NodeStateResultList!\n 333→ nodeStates(filter: [NodeFilter!]): [NodeStates!]!\n 334→ nodeStatesTimed(filter: [NodeFilter!], type: String!): [NodeStatesTimed!]!\n 335→\n 336→ job(id: ID!): Job\n 337→ jobMetrics(\n 338→ id: ID!\n 339→ metrics: [String!]\n 340→ scopes: [MetricScope!]\n 341→ resolution: Int\n 342→ ): [JobMetricWithName!]!\n 343→\n 344→ jobStats(id: ID!, metrics: [String!]): [NamedStats!]!\n 345→\n 346→ scopedJobStats(\n 347→ id: ID!\n 348→ metrics: [String!]\n 349→ scopes: [MetricScope!]\n 350→ ): [NamedStatsWithScope!]!\n 351→\n 352→ jobs(\n 353→ filter: [JobFilter!]\n 354→ page: PageRequest\n 355→ order: OrderByInput\n 356→ ): JobResultList!\n 357→\n 358→ jobsStatistics(\n 359→ filter: [JobFilter!]\n 360→ metrics: [String!]\n 361→ page: PageRequest\n 362→ sortBy: SortByAggregate\n 363→ groupBy: Aggregate\n 364→ numDurationBins: String\n 365→ numMetricBins: Int\n 366→ ): [JobsStatistics!]!\n 367→\n 368→ jobsMetricStats(filter: [JobFilter!], metrics: [String!]): [JobStats!]!\n 369→ jobsFootprints(filter: [JobFilter!], metrics: [String!]!): Footprints\n 370→\n 371→ rooflineHeatmap(\n 372→ filter: [JobFilter!]!\n 373→ rows: Int!\n 374→ cols: Int!\n 375→ minX: Float!\n 376→ minY: Float!\n 377→ maxX: Float!\n 378→ maxY: Float!\n 379→ ): [[Float!]!]!\n 380→\n 381→ nodeMetrics(\n 382→ cluster: String!\n 383→ nodes: [String!]\n 384→ scopes: [MetricScope!]\n 385→ metrics: [String!]\n 386→ from: Time!\n 387→ to: Time!\n 388→ ): [NodeMetrics!]!\n 389→\n 390→ nodeMetricsList(\n 391→ cluster: String!\n 392→ subCluster: String!\n 393→ stateFilter: String!\n 394→ nodeFilter: String!\n 395→ scopes: [MetricScope!]\n 396→ metrics: [String!]\n 397→ from: Time!\n 398→ to: Time!\n 399→ page: PageRequest\n 400→ resolution: Int\n 401→ ): NodesResultList!\n 402→\n 403→ clusterMetrics(\n 404→ cluster: String!\n 405→ metrics: [String!]\n 406→ from: Time!\n 407→ to: Time!\n 408→ ): ClusterMetrics!\n 409→}\n 410→\n 411→type Mutation {\n 412→ createTag(type: String!, name: String!, scope: String!): Tag!\n 413→ deleteTag(id: ID!): ID!\n 414→ addTagsToJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n 415→ removeTagsFromJob(job: ID!, tagIds: [ID!]!): [Tag!]!\n 416→ removeTagFromList(tagIds: [ID!]!): [Int!]!\n 417→\n 418→ updateConfiguration(name: String!, value: String!): String\n 419→}\n 420→\n 421→type IntRangeOutput {\n 422→ from: Int!\n 423→ to: Int!\n 424→}\n 425→type TimeRangeOutput {\n 426→ range: String\n 427→ from: Time!\n 428→ to: Time!\n 429→}\n 430→\n 431→input NodeFilter {\n 432→ hostname: StringInput\n 433→ cluster: StringInput\n 434→ subCluster: StringInput\n 435→ schedulerState: SchedulerState\n 436→ healthState: MonitoringState\n 437→ timeStart: Int\n 438→}\n 439→\n 440→input JobFilter {\n 441→ tags: [ID!]\n 442→ dbId: [ID!]\n 443→ jobId: StringInput\n 444→ arrayJobId: Int\n 445→ user: StringInput\n 446→ project: StringInput\n 447→ jobName: StringInput\n 448→ cluster: StringInput\n 449→ subCluster: StringInput\n 450→ partition: StringInput\n 451→ duration: IntRange\n 452→ energy: FloatRange\n 453→\n 454→ minRunningFor: Int\n 455→\n 456→ numNodes: IntRange\n 457→ numAccelerators: IntRange\n 458→ numHWThreads: IntRange\n 459→\n 460→ startTime: TimeRange\n 461→ state: [JobState!]\n 462→ metricStats: [MetricStatItem!]\n 463→ shared: String\n 464→ schedule: String\n 465→ node: StringInput\n 466→}\n 467→\n 468→input OrderByInput {\n 469→ field: String!\n 470→ type: String!\n 471→ order: SortDirectionEnum! = ASC\n 472→}\n 473→\n 474→enum SortDirectionEnum {\n 475→ DESC\n 476→ ASC\n 477→}\n 478→\n 479→input StringInput {\n 480→ eq: String\n 481→ neq: String\n 482→ contains: String\n 483→ startsWith: String\n 484→ endsWith: String\n 485→ in: [String!]\n 486→}\n 487→\n 488→input IntRange {\n 489→ from: Int!\n 490→ to: Int!\n 491→}\n 492→input TimeRange {\n 493→ range: String\n 494→ from: Time\n 495→ to: Time\n 496→}\n 497→\n 498→input FloatRange {\n 499→ from: Float!\n 500→ to: Float!\n 501→}\n 502→\n 503→type NodeStateResultList {\n 504→ items: [Node!]!\n 505→ count: Int\n 506→}\n 507→\n 508→type JobResultList {\n 509→ items: [Job!]!\n 510→ offset: Int\n 511→ limit: Int\n 512→ count: Int\n 513→ hasNextPage: Boolean\n 514→}\n 515→\n 516→type JobLinkResultList {\n 517→ listQuery: String\n 518→ items: [JobLink!]!\n 519→ count: Int\n 520→}\n 521→\n 522→type HistoPoint {\n 523→ count: Int!\n 524→ value: Int!\n 525→}\n 526→\n 527→type MetricHistoPoints {\n 528→ metric: String!\n 529→ unit: String!\n 530→ stat: String\n 531→ data: [MetricHistoPoint!]\n 532→}\n 533→\n 534→type MetricHistoPoint {\n 535→ bin: Int\n 536→ count: Int!\n 537→ min: Int\n 538→ max: Int\n 539→}\n 540→\n 541→type JobsStatistics {\n 542→ id: ID! # If `groupBy` was used, ID of the user/project/cluster/subcluster\n 543→ name: String! # if User-Statistics: Given Name of Account (ID) Owner\n 544→ totalUsers: Int! # if *not* User-Statistics: Number of active users (based on running jobs)\n 545→ totalJobs: Int! # Number of jobs\n 546→ runningJobs: Int! # Number of running jobs\n 547→ shortJobs: Int! # Number of jobs with a duration of less than config'd ShortRunningJobsDuration\n 548→ totalWalltime: Int! # Sum of the duration of all matched jobs in hours\n 549→ totalNodes: Int! # Sum of the nodes of all matched jobs\n 550→ totalNodeHours: Int! # Sum of the node hours of all matched jobs\n 551→ totalCores: Int! # Sum of the cores of all matched jobs\n 552→ totalCoreHours: Int! # Sum of the core hours of all matched jobs\n 553→ totalAccs: Int! # Sum of the accs of all matched jobs\n 554→ totalAccHours: Int! # Sum of the gpu hours of all matched jobs\n 555→ histDuration: [HistoPoint!]! # value: hour, count: number of jobs with a rounded duration of value\n 556→ histNumNodes: [HistoPoint!]! # value: number of nodes, count: number of jobs with that number of nodes\n 557→ histNumCores: [HistoPoint!]! # value: number of cores, count: number of jobs with that number of cores\n 558→ histNumAccs: [HistoPoint!]! # value: number of accs, count: number of jobs with that number of accs\n 559→ histMetrics: [MetricHistoPoints!]! # metric: metricname, data array of histopoints: value: metric average bin, count: number of jobs with that metric average\n 560→}\n 561→\n 562→input PageRequest {\n 563→ itemsPerPage: Int!\n 564→ page: Int!\n 565→}\n 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[]*model.JobsStatistics\n651-\n652-\t// Top Level Defaults\n653-\tdefaultDurationBins := \"1h\"\n654-\tdefaultMetricBins := 10\n655-\n--\n674-\t\t\tstartGrouped := time.Now()\n675-\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n676-\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n677-\t\t}\n678-\t} else {\n679:\t\tstats = make([]*model.JobsStatistics, 0, 1)\n680:\t\tstats = append(stats, &model.JobsStatistics{})\n681-\t}\n682-\n683-\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n684-\t// Only run separate count queries if main stats were not fetched.\n685-\tif !fetchedMainStats {\n--\n734-\t\t} else {\n735-\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n736-\t\t}\n737-\t}\n738-\n739:\tcclog.Infof(\"Timer JobsStatistics overall: %s\", time.Since(startOverall))\n740-\treturn stats, nil\n741-}\n742-\n743-// JobsMetricStats is the resolver for the jobsMetricStats field.\n744-func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\n[Showing results with pagination = limit: 50, offset: 0]"}]},"uuid":"58fada81-9554-42ac-98b4-f2800480ef6f","timestamp":"2026-03-12T11:45:18.409Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"5b9d902c-1d33-4b8a-9751-c6b4558bbdbd","timestamp":"2026-03-12T11:45:18.412Z"} 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+{"parentUuid":"7601a494-c78e-4bc7-97ed-296942727105","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VMLg9Chu7DYBoqTJxHbDHA","type":"tool_result","content":" 646→// JobsStatistics is the resolver for the jobsStatistics field.\n 647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n 648→\tstartOverall := time.Now()\n 649→\tvar err error\n 650→\tvar stats []*model.JobsStatistics\n 651→\n 652→\t// Top Level Defaults\n 653→\tdefaultDurationBins := \"1h\"\n 654→\tdefaultMetricBins := 10\n 655→\n 656→\t// Build requested fields map for selective column computation\n 657→\tstatsFields := []string{\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n 658→\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\"}\n 659→\treqFields := make(map[string]bool, len(statsFields))\n 660→\tfetchedMainStats := false\n 661→\tfor _, f := range statsFields {\n 662→\t\tif requireField(ctx, f) {\n 663→\t\t\treqFields[f] = true\n 664→\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n 665→\t\t\t\tfetchedMainStats = true\n 666→\t\t\t}\n 667→\t\t}\n 668→\t}\n 669→\n 670→\tif fetchedMainStats {\n 671→\t\tif groupBy == nil {\n 672→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n 673→\t\t} else {\n 674→\t\t\tstartGrouped := time.Now()\n 675→\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n 676→\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n 677→\t\t}\n 678→\t} else {\n 679→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 680→\t\tstats = append(stats, &model.JobsStatistics{})\n 681→\t}\n 682→\n 683→\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n 684→\t// Only run separate count queries if main stats were not fetched.\n 685→\tif !fetchedMainStats {\n 686→\t\tif groupBy != nil {\n 687→\t\t\tif requireField(ctx, \"shortJobs\") {\n 688→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n 689→\t\t\t}\n 690→\t\t\tif requireField(ctx, \"runningJobs\") {\n 691→\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n 692→\t\t\t}\n 693→\t\t} else {\n 694→\t\t\tif requireField(ctx, \"shortJobs\") {\n 695→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n 696→\t\t\t}\n 697→\t\t\tif requireField(ctx, \"runningJobs\") {\n 698→\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n 699→\t\t\t}\n 700→\t\t}\n 701→\t}\n 702→\n 703→\tif err != nil {\n 704→\t\treturn nil, err\n 705→\t}\n 706→\n 707→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n 708→\n 709→\t\tif numDurationBins == nil {\n 710→\t\t\tnumDurationBins = &defaultDurationBins\n 711→\t\t}\n 712→\n 713→\t\tif groupBy == nil {\n 714→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n 715→\t\t\tif err != nil {\n 716→\t\t\t\treturn nil, err\n 717→\t\t\t}\n 718→\t\t} else {\n 719→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n 720→\t\t}\n 721→\t}\n 722→\n 723→\tif requireField(ctx, \"histMetrics\") {\n 724→\n 725→\t\tif numMetricBins == nil {\n 726→\t\t\tnumMetricBins = &defaultMetricBins\n 727→\t\t}\n 728→\n 729→\t\tif groupBy == nil {\n 730→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n 731→\t\t\tif err != nil {\n 732→\t\t\t\treturn nil, err\n 733→\t\t\t}\n 734→\t\t} else {\n 735→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n 736→\t\t}\n 737→\t}\n 738→\n 739→\tcclog.Infof(\"Timer JobsStatistics overall: %s\", time.Since(startOverall))\n 740→\treturn stats, nil\n 741→}\n 742→\n 743→// JobsMetricStats is the resolver for the jobsMetricStats field.\n 744→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n 745→\t// No Paging, Fixed Order by StartTime ASC\n 746→\torder := &model.OrderByInput{\n 747→\t\tField: \"startTime\",\n 748→\t\tType: \"col\",\n 749→\t\tOrder: \"ASC\",\n 750→\t}\n 751→\n 752→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n 753→\tif err != nil {\n 754→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n 755→\t\treturn nil, err\n 756→\t}\n 757→\n 758→\tres := []*model.JobStats{}\n 759→\tfor _, job := range jobs {\n 760→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n 761→\t\tif err != nil {\n 762→\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n 763→\t\t\tcontinue\n 764→\t\t\t// return nil, err\n 765→\t\t}\n 766→\n 767→\t\tsres := []*model.NamedStats{}\n 768→\t\tfor name, md := range data {\n 769→\t\t\tsres = append(sres, &model.NamedStats{\n 770→\t\t\t\tName: name,\n 771→\t\t\t\tData: &md,\n 772→\t\t\t})\n 773→\t\t}\n 774→\n 775→\t\tnumThreadsInt := int(job.NumHWThreads)\n 776→\t\tnumAccsInt := int(job.NumAcc)\n 777→\t\tres = append(res, &model.JobStats{\n 778→\t\t\tID: int(*job.ID),\n 779→\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n 780→\t\t\tStartTime: int(job.StartTime),\n 781→\t\t\tDuration: int(job.Duration),\n 782→\t\t\tCluster: job.Cluster,\n 783→\t\t\tSubCluster: job.SubCluster,\n 784→\t\t\tNumNodes: int(job.NumNodes),\n 785→\t\t\tNumHWThreads: &numThreadsInt,\n 786→\t\t\tNumAccelerators: &numAccsInt,\n 787→\t\t\tStats: sres,\n 788→\t\t})\n 789→\t}\n 790→\treturn res, err\n 791→}\n 792→\n 793→// JobsFootprints is the resolver for the jobsFootprints field.\n 794→func (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 795→\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!"}]},"uuid":"14ac14c8-e2e1-4c61-904a-aa687f11ad67","timestamp":"2026-03-12T11:45:19.604Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"2ff61d98-d607-45b9-908a-a52e22e94d02","timestamp":"2026-03-12T11:45:19.616Z"} +{"parentUuid":"2ff61d98-d607-45b9-908a-a52e22e94d02","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:25.660Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013B5WyceVnrmAnmjDz69sBE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013yoYzR49cdhwYJZnWhj8NH","name":"Grep","input":{"pattern":"JobsStatsGrouped|buildStatsQuery","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","output_mode":"content","context":10,"head_limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":2575,"cache_read_input_tokens":36752,"cache_creation":{"ephemeral_5m_input_tokens":2575,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8TozKiN1rwvgNgFnGT","uuid":"52293bc4-c507-46c3-80bf-2d57bbc002ee"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"1b6d2fd8-072c-414d-9543-6f92aa090a2b","timestamp":"2026-03-12T11:45:25.660Z"} +{"parentUuid":"1b6d2fd8-072c-414d-9543-6f92aa090a2b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yoYzR49cdhwYJZnWhj8NH","type":"tool_result","content":"3-// Use of this source code is governed by a MIT-style\n4-// license that can be found in the LICENSE file.\n5-\n6-// This file contains job statistics and histogram generation functionality for the JobRepository.\n7-//\n8-// # Job Statistics\n9-//\n10-// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n11-/ walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n12-/ - Overall (JobsStats): Single aggregate across all matching jobs\n13:// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n14-/ - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n15-//\n16-// All statistics methods support filtering via JobFilter and respect security contexts.\n17-//\n18-// # Histograms\n19-//\n20-/ Histogram methods generate distribution data for visualization:\n21-// - Duration, nodes, cores, accelerators (AddHistograms)\n22-// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n23-//\n--\n51-\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n52-\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n53-\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n54-\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n55-\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n56-\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n57-\tsq \"github.com/Masterminds/squirrel\"\n58-)\n59-\n60-// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n61:// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n62-// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n63-var groupBy2column = map[model.Aggregate]string{\n64-\tmodel.AggregateUser: \"job.hpc_user\",\n65-\tmodel.AggregateProject: \"job.project\",\n66-\tmodel.AggregateCluster: \"job.cluster\",\n67-\tmodel.AggregateSubcluster: \"job.subcluster\",\n68-}\n69-\n70-// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n71:// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n72:// Column names match the AS aliases used in buildStatsQuery.\n73-var sortBy2column = map[model.SortByAggregate]string{\n74-\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n75-\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n76-\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n77-\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n78-\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n79-\tmodel.SortByAggregateTotalcores: \"totalCores\",\n80-\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n81-\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n82-\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n--\n117-\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n118-\t}\n119-\n120-\tfor _, f := range filter {\n121-\t\tquery = BuildWhereClause(f, query)\n122-\t}\n123-\n124-\treturn query\n125-}\n126-\n127:// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n128-// Only requested columns are computed; unrequested columns select 0 as placeholder.\n129-//\n130-/ Parameters:\n131-/ - filter: Job filters to apply (cluster, user, time range, etc.)\n132-/ - col: Column name to GROUP BY; empty string for overall statistics without grouping\n133-/ - shortThreshold: Duration threshold in seconds for counting short-running jobs\n134-/ - reqFields: Set of requested field names; nil means compute all fields\n135:func (r *JobRepository) buildStatsQuery(\n136-\tfilter []*model.JobFilter,\n137-\tcol string,\n138-\tshortThreshold int,\n139-\treqFields map[string]bool,\n140-) sq.SelectBuilder {\n141-\tnow := time.Now().Unix()\n142-\n143-\t/ Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n144-\tneed := func(field string) bool {\n145-\t\treturn reqFields == nil || reqFields[field]\n--\n220-\t\tquery = query.GroupBy(col)\n221-\t}\n222-\n223-\tfor _, f := range filter {\n224-\t\tquery = BuildWhereClause(f, query)\n225-\t}\n226-\n227-\treturn query\n228-}\n229-\n230:// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n231-// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n232-// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n233:func (r *JobRepository) JobsStatsGrouped(\n234-\tctx context.Context,\n\n[Showing results with pagination = limit: 100, offset: 0]"}]},"uuid":"211748f5-b2e5-47b4-b446-898153fe6229","timestamp":"2026-03-12T11:45:25.692Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"4738e703-158e-48e4-8443-ae1b54dca9de","timestamp":"2026-03-12T11:45:25.693Z"} +{"parentUuid":"4738e703-158e-48e4-8443-ae1b54dca9de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:27.069Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_015s8nTCgioyMSzUYyAkU1bG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017QcpFJyqpkQMd8jAhx3365","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","offset":230,"limit":250},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1806,"cache_read_input_tokens":39327,"cache_creation":{"ephemeral_5m_input_tokens":1806,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8UFzFxvNZGv8uPBhY5","uuid":"1958924e-7320-47d3-b446-e7b6941ac144"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"9e241730-5c43-4ed7-8b3e-104ea5a60530","timestamp":"2026-03-12T11:45:27.070Z"} +{"parentUuid":"9e241730-5c43-4ed7-8b3e-104ea5a60530","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017QcpFJyqpkQMd8jAhx3365","type":"tool_result","content":" 230→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 231→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 232→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 233→func (r *JobRepository) JobsStatsGrouped(\n 234→\tctx context.Context,\n 235→\tfilter []*model.JobFilter,\n 236→\tpage *model.PageRequest,\n 237→\tsortBy *model.SortByAggregate,\n 238→\tgroupBy *model.Aggregate,\n 239→\treqFields map[string]bool,\n 240→) ([]*model.JobsStatistics, error) {\n 241→\tstart := time.Now()\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→\treqFields map[string]bool,\n 351→) ([]*model.JobsStatistics, error) {\n 352→\tstart := time.Now()\n 353→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 354→\tquery, err := SecurityCheck(ctx, query)\n 355→\tif err != nil {\n 356→\t\treturn nil, err\n 357→\t}\n 358→\n 359→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 360→\tstats := make([]*model.JobsStatistics, 0, 1)\n 361→\n 362→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 363→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 364→\t\tcclog.Warn(\"Error while scanning rows\")\n 365→\t\treturn nil, err\n 366→\t}\n 367→\n 368→\tif jobs.Valid {\n 369→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 370→\n 371→\t\tif nodeHours.Valid {\n 372→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 373→\t\t}\n 374→\t\tif coreHours.Valid {\n 375→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 376→\t\t}\n 377→\t\tif accHours.Valid {\n 378→\t\t\ttotalAccHours = int(accHours.Int64)\n 379→\t\t}\n 380→\t\tstats = append(stats,\n 381→\t\t\t&model.JobsStatistics{\n 382→\t\t\t\tTotalJobs: int(jobs.Int64),\n 383→\t\t\t\tTotalUsers: int(users.Int64),\n 384→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 385→\t\t\t\tTotalNodeHours: totalNodeHours,\n 386→\t\t\t\tTotalCoreHours: totalCoreHours,\n 387→\t\t\t\tTotalAccHours: totalAccHours,\n 388→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 389→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 390→\t\t\t})\n 391→\t}\n 392→\n 393→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 394→\treturn stats, nil\n 395→}\n 396→\n 397→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 398→// Returns 0.0 if the metric is not found or statType is invalid.\n 399→//\n 400→// Parameters:\n 401→// - job: Job struct with populated Statistics field\n 402→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 403→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 404→//\n 405→// Returns the requested statistic value or 0.0 if not found.\n 406→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 407→\tif stats, ok := job.Statistics[metric]; ok {\n 408→\t\tswitch statType {\n 409→\t\tcase \"avg\":\n 410→\t\t\treturn stats.Avg\n 411→\t\tcase \"max\":\n 412→\t\t\treturn stats.Max\n 413→\t\tcase \"min\":\n 414→\t\t\treturn stats.Min\n 415→\t\tdefault:\n 416→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 417→\t\t}\n 418→\t}\n 419→\n 420→\treturn 0.0\n 421→}\n 422→\n 423→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 424→//\n 425→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 426→// avoiding the overhead of calculating walltime and resource usage metrics.\n 427→//\n 428→// Parameters:\n 429→// - ctx: Context for security checks\n 430→// - filter: Filters to apply\n 431→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 432→//\n 433→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 434→func (r *JobRepository) JobCountGrouped(\n 435→\tctx context.Context,\n 436→\tfilter []*model.JobFilter,\n 437→\tgroupBy *model.Aggregate,\n 438→) ([]*model.JobsStatistics, error) {\n 439→\tstart := time.Now()\n 440→\tcol := groupBy2column[*groupBy]\n 441→\tquery := r.buildCountQuery(filter, \"\", col)\n 442→\tquery, err := SecurityCheck(ctx, query)\n 443→\tif err != nil {\n 444→\t\treturn nil, err\n 445→\t}\n 446→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 447→\tif err != nil {\n 448→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 449→\t\treturn nil, err\n 450→\t}\n 451→\tdefer rows.Close()\n 452→\n 453→\tstats := make([]*model.JobsStatistics, 0, 100)\n 454→\n 455→\tfor rows.Next() {\n 456→\t\tvar id sql.NullString\n 457→\t\tvar cnt sql.NullInt64\n 458→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 459→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 460→\t\t\treturn nil, err\n 461→\t\t}\n 462→\t\tif id.Valid {\n 463→\t\t\tstats = append(stats,\n 464→\t\t\t\t&model.JobsStatistics{\n 465→\t\t\t\t\tID: id.String,\n 466→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 467→\t\t\t\t})\n 468→\t\t}\n 469→\t}\n 470→\n 471→\tif err := rows.Err(); err != nil {\n 472→\t\treturn nil, err\n 473→\t}\n 474→\n 475→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 476→\treturn stats, nil\n 477→}\n 478→\n 479→// AddJobCountGrouped augments existing statistics with additional job counts by category."}]},"uuid":"578fac42-1480-49c1-b037-f40b02b0ead0","timestamp":"2026-03-12T11:45:27.082Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6b453d10-a1ff-4bbf-9f67-4f0772bf5733","timestamp":"2026-03-12T11:45:27.084Z"} 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+{"parentUuid":"e18e24fe-c885-4680-bf59-b260c01ccb3e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NFck9m5JM4XWuB2mm8Z1ZN","type":"tool_result","content":" 127→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 128→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 129→//\n 130→// Parameters:\n 131→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 132→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 133→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 134→// - reqFields: Set of requested field names; nil means compute all fields\n 135→func (r *JobRepository) buildStatsQuery(\n 136→\tfilter []*model.JobFilter,\n 137→\tcol string,\n 138→\tshortThreshold int,\n 139→\treqFields map[string]bool,\n 140→) sq.SelectBuilder {\n 141→\tnow := time.Now().Unix()\n 142→\n 143→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 144→\tneed := func(field string) bool {\n 145→\t\treturn reqFields == nil || reqFields[field]\n 146→\t}\n 147→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)`, now)\n 148→\n 149→\t// Build column list\n 150→\tcolumns := make([]string, 0, 14)\n 151→\n 152→\tif col != \"\" {\n 153→\t\tcolumns = append(columns, col)\n 154→\t}\n 155→\n 156→\tcolumns = append(columns, \"COUNT(job.id) as totalJobs\")\n 157→\n 158→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 159→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 160→\t} else {\n 161→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 162→\t}\n 163→\n 164→\tif need(\"totalWalltime\") {\n 165→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 166→\t} else {\n 167→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 168→\t}\n 169→\n 170→\tif need(\"totalNodes\") {\n 171→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 172→\t} else {\n 173→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 174→\t}\n 175→\n 176→\tif need(\"totalNodeHours\") {\n 177→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 178→\t} else {\n 179→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 180→\t}\n 181→\n 182→\tif need(\"totalCores\") {\n 183→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 184→\t} else {\n 185→\t\tcolumns = append(columns, \"0 as totalCores\")\n 186→\t}\n 187→\n 188→\tif need(\"totalCoreHours\") {\n 189→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 190→\t} else {\n 191→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 192→\t}\n 193→\n 194→\tif need(\"totalAccs\") {\n 195→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 196→\t} else {\n 197→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 198→\t}\n 199→\n 200→\tif need(\"totalAccHours\") {\n 201→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 202→\t} else {\n 203→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 204→\t}\n 205→\n 206→\tif need(\"runningJobs\") {\n 207→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 208→\t} else {\n 209→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 210→\t}\n 211→\n 212→\tif need(\"shortJobs\") {\n 213→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 214→\t} else {\n 215→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 216→\t}\n 217→\n 218→\tquery := sq.Select(columns...).From(\"job\")\n 219→\tif col != \"\" {\n 220→\t\tquery = query.GroupBy(col)\n 221→\t}\n 222→\n 223→\tfor _, f := range filter {\n 224→\t\tquery = BuildWhereClause(f, query)\n 225→\t}\n 226→\n 227→\treturn query\n 228→}"}]},"uuid":"bec19ab1-1059-4697-ab9c-9d49d3d969fe","timestamp":"2026-03-12T11:45:29.954Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6c7b44c8-5ea8-4199-b1bc-b82034e9cd2f","timestamp":"2026-03-12T11:45:30.050Z"} 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+{"parentUuid":"827237db-37fd-4d34-8402-378d570f3aac","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Nm6sCyu2HqzHosmJ1viUqU","type":"tool_result","content":"132-\n133-\treturn count, nil\n134-}\n135-\n136-// SecurityCheckWithUser applies role-based access control filters to a job query\n137-// based on the provided user's roles and permissions.\n138-//\n139-/ Access rules by role:\n140-/ - API role (exclusive): Full access to all jobs\n141-/ - Admin/Support roles: Full access to all jobs\n142-/ - Manager role: Access to jobs in managed projects plus own jobs\n143-/ - User role: Access only to own jobs\n144-//\n145-// Returns an error if the user is nil or has no recognized roles.\n146-func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n147-\tif user == nil {\n148-\t\tvar qnil sq.SelectBuilder\n149-\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n150-\t}\n151-\n152-\tswitch {\n153-\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n154-\t\treturn query, nil\n155-\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n156-\t\treturn query, nil\n157-\tcase user.HasRole(schema.RoleManager):\n158-\t\tif len(user.Projects) != 0 {\n159-\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n160-\t\t}\n161-\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n162-\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n163-\tcase user.HasRole(schema.RoleUser):\n164-\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n165-\tdefault:\n166-\t\tvar qnil sq.SelectBuilder\n167-\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n168-\t}\n169-}\n170-\n171-// SecurityCheck extracts the user from the context and applies role-based access\n172-// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n173-func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n174-\tuser := GetUserFromContext(ctx)\n175-\treturn SecurityCheckWithUser(user, query)\n176-}\n177-\n178-// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n179-// them to the query. Supports filtering by job properties (cluster, state, user),\n180-// time ranges, resource usage, tags, and JSON field searches in meta_data,\n181-// footprint, and resources columns.\n182:func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n183-\t// Primary Key\n184-\tif filter.DbID != nil {\n185-\t\tdbIDs := make([]string, len(filter.DbID))\n186-\t\tcopy(dbIDs, filter.DbID)\n187-\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n188-\t}\n189-\t// Explicit indices\n190-\tif filter.Cluster != nil {\n191-\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n192-\t}\n193-\tif filter.SubCluster != nil {\n194-\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n195-\t}\n196-\tif filter.Partition != nil {\n197-\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n198-\t}\n199-\tif filter.State != nil {\n200-\t\tstates := make([]string, len(filter.State))\n201-\t\tfor i, val := range filter.State {\n202-\t\t\tstates[i] = string(val)\n203-\t\t}\n204-\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n205-\t}\n206-\tif filter.Shared != nil {\n207-\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n208-\t}\n209-\tif filter.Project != nil {\n210-\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n211-\t}\n212-\tif filter.User != nil {\n213-\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n214-\t}\n215-\tif filter.NumNodes != nil {\n216-\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n217-\t}\n218-\tif filter.NumAccelerators != nil {\n219-\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n220-\t}\n221-\tif filter.NumHWThreads != nil {\n222-\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n223-\t}\n224-\tif filter.ArrayJobID != nil {\n225-\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n226-\t}\n227-\tif filter.StartTime != nil {\n228-\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n229-\t}\n230-\tif filter.Duration != nil {\n231-\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n232-\t}"}]},"uuid":"27be81ff-d3db-455c-8606-bfcdd159eff3","timestamp":"2026-03-12T11:45:32.917Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"43ad5e4e-af5d-4e63-8596-be020ca70e74","timestamp":"2026-03-12T11:45:32.918Z"} +{"parentUuid":"43ad5e4e-af5d-4e63-8596-be020ca70e74","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:34.537Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01HBo1DZsQLdm4f6fjgEGEMF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EjgCDPWyV5tZPTwLnPetc4","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","offset":178,"limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1591,"cache_read_input_tokens":46847,"cache_creation":{"ephemeral_5m_input_tokens":1591,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8UntsZMqmeJcnT4WYX","uuid":"a3643d63-4d7e-4434-9ac5-b840412f7cb4"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"61096e11-2932-411d-ac2c-d43b73532791","timestamp":"2026-03-12T11:45:34.538Z"} +{"parentUuid":"61096e11-2932-411d-ac2c-d43b73532791","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EjgCDPWyV5tZPTwLnPetc4","type":"tool_result","content":" 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tstates := make([]string, len(filter.State))\n 201→\t\tfor i, val := range filter.State {\n 202→\t\t\tstates[i] = string(val)\n 203→\t\t}\n 204→\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 205→\t}\n 206→\tif filter.Shared != nil {\n 207→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 208→\t}\n 209→\tif filter.Project != nil {\n 210→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 211→\t}\n 212→\tif filter.User != nil {\n 213→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 214→\t}\n 215→\tif filter.NumNodes != nil {\n 216→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 217→\t}\n 218→\tif filter.NumAccelerators != nil {\n 219→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 220→\t}\n 221→\tif filter.NumHWThreads != nil {\n 222→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 223→\t}\n 224→\tif filter.ArrayJobID != nil {\n 225→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 226→\t}\n 227→\tif filter.StartTime != nil {\n 228→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 229→\t}\n 230→\tif filter.Duration != nil {\n 231→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 232→\t}\n 233→\tif filter.Energy != nil {\n 234→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 235→\t}\n 236→\t// Indices on Tag Table\n 237→\tif filter.Tags != nil {\n 238→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 239→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 240→\t}\n 241→\t// No explicit Indices\n 242→\tif filter.JobID != nil {\n 243→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 244→\t}\n 245→\t// Queries Within JSONs\n 246→\tif filter.MetricStats != nil {\n 247→\t\tfor _, ms := range filter.MetricStats {\n 248→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 249→\t\t}\n 250→\t}\n 251→\tif filter.Node != nil {\n 252→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 253→\t}\n 254→\tif filter.JobName != nil {\n 255→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 256→\t}\n 257→\tif filter.Schedule != nil {\n 258→\t\tinteractiveJobname := \"interactive\"\n 259→\t\tswitch *filter.Schedule {\n 260→\t\tcase \"interactive\":\n 261→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 262→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 263→\t\tcase \"batch\":\n 264→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 265→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 266→\t\t}\n 267→\t}\n 268→\n 269→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 270→\tif filter.MinRunningFor != nil {\n 271→\t\tnow := time.Now().Unix()\n 272→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 273→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 274→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 275→\t}\n 276→\treturn query\n 277→}\n 278→\n 279→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 280→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 281→\tif cond.From != 1 && cond.To != 0 {\n 282→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 283→\t} else if cond.From != 1 && cond.To == 0 {\n 284→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 285→\t} else if cond.From == 1 && cond.To != 0 {\n 286→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 287→\t} else {\n 288→\t\treturn query\n 289→\t}\n 290→}\n 291→\n 292→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 293→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 294→\tif cond.From != 1.0 && cond.To != 0.0 {\n 295→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 296→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 297→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 298→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 299→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 300→\t} else {\n 301→\t\treturn query\n 302→\t}\n 303→}\n 304→\n 305→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 306→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 307→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 308→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 309→\tif cond.From != nil && cond.To != nil {\n 310→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 311→\t} else if cond.From != nil {\n 312→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 313→\t} else if cond.To != nil {\n 314→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 315→\t} else if cond.Range != \"\" {\n 316→\t\tnow := time.Now().Unix()\n 317→\t\tvar then int64\n 318→\t\tswitch cond.Range {\n 319→\t\tcase \"last6h\":\n 320→\t\t\tthen = now - (60 * 60 * 6)\n 321→\t\tcase \"last24h\":\n 322→\t\t\tthen = now - (60 * 60 * 24)\n 323→\t\tcase \"last7d\":\n 324→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 325→\t\tcase \"last30d\":\n 326→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 327→\t\tdefault:"}]},"uuid":"9e865ff5-0dfc-459c-9823-055bf7a91f7e","timestamp":"2026-03-12T11:45:34.544Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"de69279a-c0a6-4710-92da-4be03bd9d325","timestamp":"2026-03-12T11:45:34.567Z"} 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TEXT NOT NULL, -- JSON\n 17→num_nodes INT NOT NULL,\n 18→num_hwthreads INT,\n 19→num_acc INT,\n 20→smt TINYINT NOT NULL DEFAULT 1 CHECK(smt IN (0, 1 )),\n 21→exclusive TINYINT NOT NULL DEFAULT 1 CHECK(exclusive IN (0, 1, 2)),\n 22→monitoring_status TINYINT NOT NULL DEFAULT 1 CHECK(monitoring_status IN (0, 1, 2, 3)),\n 23→mem_used_max REAL NOT NULL DEFAULT 0.0,\n 24→flops_any_avg REAL NOT NULL DEFAULT 0.0,\n 25→mem_bw_avg REAL NOT NULL DEFAULT 0.0,\n 26→load_avg REAL NOT NULL DEFAULT 0.0,\n 27→net_bw_avg REAL NOT NULL DEFAULT 0.0,\n 28→net_data_vol_total REAL NOT NULL DEFAULT 0.0,\n 29→file_bw_avg REAL NOT NULL DEFAULT 0.0,\n 30→file_data_vol_total REAL NOT NULL DEFAULT 0.0);\n 31→\n 32→CREATE TABLE IF NOT EXISTS tag (\n 33→id INTEGER PRIMARY KEY,\n 34→tag_type VARCHAR(255) NOT NULL,\n 35→tag_name VARCHAR(255) NOT NULL,\n 36→UNIQUE (tag_type, tag_name));\n 37→\n 38→CREATE TABLE IF NOT EXISTS jobtag (\n 39→job_id INTEGER,\n 40→tag_id INTEGER,\n 41→PRIMARY KEY (job_id, tag_id),\n 42→FOREIGN KEY (job_id) REFERENCES job (id) ON DELETE CASCADE,\n 43→FOREIGN KEY (tag_id) REFERENCES tag (id) ON DELETE CASCADE);\n 44→\n 45→CREATE TABLE IF NOT EXISTS user (\n 46→username varchar(255) PRIMARY KEY NOT NULL,\n 47→password varchar(255) DEFAULT NULL,\n 48→ldap tinyint NOT NULL DEFAULT 0, /* col called \"ldap\" for historic reasons, fills the \"AuthSource\" */\n 49→name varchar(255) DEFAULT NULL,\n 50→roles varchar(255) NOT NULL DEFAULT \"[]\",\n 51→email varchar(255) DEFAULT NULL);\n 52→\n 53→CREATE TABLE IF NOT EXISTS configuration (\n 54→username varchar(255),\n 55→confkey varchar(255),\n 56→value varchar(255),\n 57→PRIMARY KEY (username, confkey),\n 58→FOREIGN KEY (username) REFERENCES user (username) ON DELETE CASCADE ON UPDATE NO ACTION);\n 59→\n 60→\n 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TEXT NOT NULL DEFAULT 'global';\n 15→\n 16→-- Do not use reserved keywords anymore\n 17→ALTER TABLE \"user\" RENAME TO hpc_user;\n 18→ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n 19→ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n 20→\n 21→UPDATE job SET footprint = '{\"flops_any_avg\": 0.0}';\n 22→UPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);\n 23→UPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);\n 24→UPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);\n 25→UPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);\n 26→UPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;\n 27→UPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;\n 28→UPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;\n 29→UPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;\n 30→\n 31→ALTER TABLE job DROP flops_any_avg;\n 32→ALTER TABLE job DROP mem_bw_avg;\n 33→ALTER TABLE job DROP mem_used_max;\n 34→ALTER TABLE job DROP load_avg;\n 35→ALTER TABLE job DROP net_bw_avg;\n 36→ALTER TABLE job DROP net_data_vol_total;\n 37→ALTER TABLE job DROP file_bw_avg;\n 38→ALTER TABLE job DROP file_data_vol_total;\n 39→\n 40→-- Indices for: Single filters, combined filters, sorting, sorting with filters\n 41→-- Cluster Filter\n 42→CREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);\n 43→CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n 44→CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);\n 45→CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);\n 46→-- Cluster Filter Sorting\n 47→CREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);\n 48→CREATE INDEX IF NOT EXISTS jobs_cluster_duration ON job (cluster, duration);\n 49→CREATE INDEX IF NOT EXISTS jobs_cluster_numnodes ON job (cluster, num_nodes);\n 50→CREATE INDEX IF NOT EXISTS jobs_cluster_numhwthreads ON job (cluster, num_hwthreads);\n 51→CREATE INDEX IF NOT EXISTS jobs_cluster_numacc ON job (cluster, num_acc);\n 52→CREATE INDEX IF NOT EXISTS jobs_cluster_energy ON job (cluster, energy);\n 53→\n 54→-- Cluster+Partition Filter\n 55→CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n 56→-- Cluster+Partition Filter Sorting\n 57→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n 58→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n 59→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n 60→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n 61→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n 62→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n 63→\n 64→-- Cluster+Partition+Jobstate Filter\n 65→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n 66→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n 67→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n 68→-- Cluster+Partition+Jobstate Filter Sorting\n 69→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n 70→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n 71→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n 72→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n 73→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n 74→CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);\n 75→\n 76→-- Cluster+JobState Filter\n 77→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);\n 78→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, hpc_user);\n 79→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);\n 80→-- Cluster+JobState Filter Sorting\n 81→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);\n 82→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_duration ON job (cluster, job_state, duration);\n 83→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numnodes ON job (cluster, job_state, num_nodes);\n 84→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numhwthreads ON job (cluster, job_state, num_hwthreads);\n 85→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_numacc ON job (cluster, job_state, num_acc);\n 86→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_energy ON job (cluster, job_state, energy);\n 87→\n 88→-- User Filter\n 89→CREATE INDEX IF NOT EXISTS jobs_user ON job (hpc_user);\n 90→-- User Filter Sorting\n 91→CREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (hpc_user, start_time);\n 92→CREATE INDEX IF NOT EXISTS jobs_user_duration ON job (hpc_user, duration);\n 93→CREATE INDEX IF NOT EXISTS jobs_user_numnodes ON job (hpc_user, num_nodes);\n 94→CREATE INDEX IF NOT EXISTS jobs_user_numhwthreads ON job (hpc_user, num_hwthreads);\n 95→CREATE INDEX IF NOT EXISTS jobs_user_numacc ON job (hpc_user, num_acc);\n 96→CREATE INDEX IF NOT EXISTS jobs_user_energy ON job (hpc_user, energy);\n 97→\n 98→-- Project Filter\n 99→CREATE INDEX IF NOT EXISTS jobs_project ON job (project);\n 100→CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, hpc_user);\n 101→-- Project Filter Sorting\n 102→CREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);\n 103→CREATE INDEX IF NOT EXISTS jobs_project_duration ON job (project, duration);\n 104→CREATE INDEX IF NOT EXISTS jobs_project_numnodes ON job (project, num_nodes);\n 105→CREATE INDEX IF NOT EXISTS jobs_project_numhwthreads ON job (project, num_hwthreads);\n 106→CREATE INDEX IF NOT EXISTS jobs_project_numacc ON job (project, num_acc);\n 107→CREATE INDEX IF NOT EXISTS jobs_project_energy ON job (project, energy);\n 108→\n 109→-- JobState Filter\n 110→CREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);\n 111→CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, hpc_user);\n 112→CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);\n 113→CREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);\n 114→-- JobState Filter Sorting\n 115→CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);\n 116→CREATE INDEX IF NOT EXISTS jobs_jobstate_duration ON job (job_state, duration);\n 117→CREATE INDEX IF NOT EXISTS jobs_jobstate_numnodes ON job (job_state, num_nodes);\n 118→CREATE INDEX IF NOT EXISTS jobs_jobstate_numhwthreads ON job (job_state, num_hwthreads);\n 119→CREATE INDEX IF NOT EXISTS jobs_jobstate_numacc ON job (job_state, num_acc);\n 120→CREATE INDEX IF NOT EXISTS jobs_jobstate_energy ON job (job_state, energy);\n 121→\n 122→-- ArrayJob Filter\n 123→CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);\n 124→CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);\n 125→\n 126→-- Sorting without active filters\n 127→CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);\n 128→CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);\n 129→CREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);\n 130→CREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);\n 131→CREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);\n 132→CREATE INDEX IF NOT EXISTS jobs_energy ON job (energy);\n 133→\n 134→-- Single filters with default starttime sorting\n 135→CREATE INDEX IF NOT EXISTS jobs_duration_starttime ON job (duration, start_time);\n 136→CREATE INDEX IF NOT EXISTS jobs_numnodes_starttime ON job (num_nodes, start_time);\n 137→CREATE INDEX IF NOT EXISTS jobs_numhwthreads_starttime ON job (num_hwthreads, start_time);\n 138→CREATE INDEX IF NOT EXISTS jobs_numacc_starttime ON job (num_acc, start_time);\n 139→CREATE INDEX IF NOT EXISTS jobs_energy_starttime ON job (energy, start_time);\n 140→\n 141→-- Optimize DB index usage\n 142→PRAGMA optimize;\n 143→"}]},"uuid":"2207b0c1-61a8-4558-a958-604915153cb9","timestamp":"2026-03-12T11:45:44.600Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"966a447e-a444-4315-8391-3baefad6453e","timestamp":"2026-03-12T11:45:44.608Z"} 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+{"parentUuid":"d55c1393-c83e-4c54-87e6-24cfba316f0c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HuVDTSezKjY982Wyhv9RZQ","type":"tool_result","content":"17:ALTER TABLE \"user\" RENAME TO hpc_user;\n18:ALTER TABLE job RENAME COLUMN \"user\" TO hpc_user;\n19:ALTER TABLE job RENAME COLUMN \"partition\" TO cluster_partition;\n43:CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, hpc_user);\n55:CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, cluster_partition);\n57:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, cluster_partition, start_time);\n58:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_duration ON job (cluster, cluster_partition, duration);\n59:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numnodes ON job (cluster, cluster_partition, num_nodes);\n60:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numhwthreads ON job (cluster, cluster_partition, num_hwthreads);\n61:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_numacc ON job (cluster, cluster_partition, num_acc);\n62:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_energy ON job (cluster, cluster_partition, energy);\n65:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, cluster_partition, job_state);\n66:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, cluster_partition, job_state, hpc_user);\n67:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, cluster_partition, job_state, project);\n69:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, cluster_partition, job_state, start_time);\n70:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_duration ON job (cluster, cluster_partition, job_state, duration);\n71:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numnodes ON job (cluster, cluster_partition, job_state, num_nodes);\n72:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numhwthreads ON job (cluster, cluster_partition, job_state, num_hwthreads);\n73:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_numacc ON job (cluster, cluster_partition, job_state, num_acc);\n74:CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_energy ON job (cluster, cluster_partition, job_state, energy);","is_error":false}]},"uuid":"0b54865e-1b5e-418c-b4ef-c67a976f8b1b","timestamp":"2026-03-12T11:45:47.049Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6d21d09b-51c1-4f76-a1c8-f648d15cd41c","timestamp":"2026-03-12T11:45:47.049Z"} 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+{"parentUuid":"4a035b40-7005-47d8-a77a-ce4f78825820","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VHKkqMRXWctHAsUi7Yk61B","type":"tool_result","content":"36-var routes []Route = []Route{\n37-\t{\"/\", \"home.tmpl\", \"ClusterCockpit\", false, setupHomeRoute},\n38-\t{\"/config\", \"config.tmpl\", \"Settings\", false, setupConfigRoute},\n39-\t{\"/monitoring/jobs/\", \"monitoring/jobs.tmpl\", \"Jobs - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { return i }},\n40-\t{\"/monitoring/job/{id:[0-9]+}\", \"monitoring/job.tmpl\", \"Job - ClusterCockpit\", false, setupJobRoute},\n41:\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n42-\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n43-\t{\"/monitoring/tags/\", \"monitoring/taglist.tmpl\", \"Tags - ClusterCockpit\", false, setupTaglistRoute},\n44:\t{\"/monitoring/user/{id}\", \"monitoring/user.tmpl\", \"User - ClusterCockpit\", true, setupUserRoute},\n45-\t{\"/monitoring/systems/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster Node Overview - ClusterCockpit\", false, setupClusterOverviewRoute},\n46-\t{\"/monitoring/systems/list/{cluster}\", \"monitoring/systems.tmpl\", \"Cluster Node List - ClusterCockpit\", false, setupClusterListRoute},\n47-\t{\"/monitoring/systems/list/{cluster}/{subcluster}\", \"monitoring/systems.tmpl\", \"Cluster Node List - ClusterCockpit\", false, setupClusterListRoute},\n48-\t{\"/monitoring/node/{cluster}/{hostname}\", \"monitoring/node.tmpl\", \"Node - ClusterCockpit\", false, setupNodeRoute},\n49-\t{\"/monitoring/analysis/{cluster}\", \"monitoring/analysis.tmpl\", \"Analysis - ClusterCockpit\", true, setupAnalysisRoute},\n--\n538-\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n539-\n540-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) / All Users: Redirect to Tablequery\n541-\t\t\tcase \"username\":\n542-\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n543:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n544-\t\t\t\t} else {\n545-\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n546-\t\t\t\t}\n547-\t\t\tcase \"name\":\n548-\t\t\t\tusernames, _ := repo.FindColumnValues(user, strings.Trim(splitSearch[1], \" \"), \"user\", \"username\", \"name\")\n549-\t\t\t\tif len(usernames) != 0 {\n550-\t\t\t\t\tjoinedNames := strings.Join(usernames, \"&user=\")\n551:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n552-\t\t\t\t} else {\n553-\t\t\t\t\tif user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n554:\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n555-\t\t\t\t\t} else {\n556-\t\t\t\t\t\tweb.RenderTemplate(rw, \"message.tmpl\", &web.Page{Title: \"Error\", MsgType: \"alert-danger\", Message: \"Missing Access Rights\", User: *user, Roles: availableRoles, Build: buildInfo})\n557-\t\t\t\t\t}\n558-\t\t\t\t}\n559-\t\t\tdefault:\n--\n564-\t\t\tjobid, username, project, jobname := repo.FindUserOrProjectOrJobname(user, strings.Trim(search, \" \"))\n565-\n566-\t\t\tif jobid != \"\" {\n567-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?jobId=\"+url.QueryEscape(jobid), http.StatusFound) // JobId (Match)\n568-\t\t\t} else if username != \"\" {\n569:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/user/\"+username, http.StatusFound) // User: Redirect to user page of first match\n570-\t\t\t} else if project != \"\" {\n571-\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?projectMatch=eq&project=\"+url.QueryEscape(project), http.StatusFound) // projectId (equal)\n572-\t\t\t} else if jobname != \"\" {\n573-\t\t\t\t// Add Last 30 Days to migitate timeouts\n574-\t\t\t\tuntilTime := strconv.FormatInt(time.Now().Unix(), 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\n 3→{{end}}\n 4→\n 5→{{define \"stylesheets\"}}\n 6→ \n 7→{{end}}\n 8→{{define \"javascript\"}}\n 9→ \n 14→ \n 15→{{end}}\n 16→"}]},"uuid":"0d261087-3e68-448f-adac-05160a3b2d36","timestamp":"2026-03-12T11:45:54.379Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"6fe1854a-31f9-4820-8708-284c0d688c75","timestamp":"2026-03-12T11:45:54.390Z"} +{"parentUuid":"6fe1854a-31f9-4820-8708-284c0d688c75","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:55.994Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Gu8tps1eWYVGr81u9rwmiz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012eG73AVRX3rLMGVVqfRda1","name":"Bash","input":{"command":"grep -n \"FilterPresets\\|setupListRoute\\|monitoring/list\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":311,"cache_read_input_tokens":61678,"cache_creation":{"ephemeral_5m_input_tokens":311,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WNg9aotmJoSJebqcF","uuid":"2fc93a04-ce1e-4e33-845b-a047802455ef"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"827bcd41-4ad6-4e3c-a314-e1adcdbb673a","timestamp":"2026-03-12T11:45:55.995Z"} +{"parentUuid":"827bcd41-4ad6-4e3c-a314-e1adcdbb673a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012eG73AVRX3rLMGVVqfRda1","type":"tool_result","content":"41:\t{\"/monitoring/users/\", \"monitoring/list.tmpl\", \"Users - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"USER\"; return i }},\n42:\t{\"/monitoring/projects/\", \"monitoring/list.tmpl\", \"Projects - ClusterCockpit\", true, func(i InfoType, r *http.Request) InfoType { i[\"listType\"] = \"PROJECT\"; return i }},\n235:func buildFilterPresets(query url.Values) map[string]any {\n507:\t\t\t\tpage.FilterPresets = buildFilterPresets(r.URL.Query())","is_error":false}]},"uuid":"d342b42a-a48d-4e01-95d5-75013cc5ea95","timestamp":"2026-03-12T11:45:56.030Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"51f892f1-9c2b-4e6c-8dec-a7a047790c47","timestamp":"2026-03-12T11:45:56.031Z"} +{"parentUuid":"51f892f1-9c2b-4e6c-8dec-a7a047790c47","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:45:57.860Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011v8yvhWFGfS3vUmuShKw9r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018chEozHHx37kWsMnzhYz5o","name":"Grep","input":{"pattern":"func buildFilterPresets","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","output_mode":"content","context":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":334,"cache_read_input_tokens":61989,"cache_creation":{"ephemeral_5m_input_tokens":334,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WVfqb2cTKMQVeK4WG","uuid":"685a02e4-9be3-4315-aa7f-fe445c759c54"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f30f6d21-927b-4020-90b6-84a8ee42557e","timestamp":"2026-03-12T11:45:57.861Z"} +{"parentUuid":"f30f6d21-927b-4020-90b6-84a8ee42557e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018chEozHHx37kWsMnzhYz5o","type":"tool_result","content":"205-\tif userAuthlevel >= 4 { / Support+ : Show tags for all scopes, regardless of count\n206-\t\tfor _, tag := range tags {\n207-\t\t\ttagItem := map[string]any{\n208-\t\t\t\t\"id\": tag.ID,\n209-\t\t\t\t\"name\": tag.Name,\n210-\t\t\t\t\"scope\": tag.Scope,\n211-\t\t\t\t\"count\": counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)],\n212-\t\t\t}\n213-\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n214-\t\t}\n215-\t} else if userAuthlevel < 4 && userAuthlevel >= 2 { / User+ : Show global and admin scope only if at least 1 tag used, private scope regardless of count\n216-\t\tfor _, tag := range tags {\n217-\t\t\ttagCount := counts[fmt.Sprint(tag.Type, tag.Name, tag.ID)]\n218-\t\t\tif ((tag.Scope == \"global\" || tag.Scope == \"admin\") && tagCount >= 1) || (tag.Scope != \"global\" && tag.Scope != \"admin\") {\n219-\t\t\t\ttagItem := map[string]any{\n220-\t\t\t\t\t\"id\": tag.ID,\n221-\t\t\t\t\t\"name\": tag.Name,\n222-\t\t\t\t\t\"scope\": tag.Scope,\n223-\t\t\t\t\t\"count\": tagCount,\n224-\t\t\t\t}\n225-\t\t\t\ttagMap[tag.Type] = append(tagMap[tag.Type], tagItem)\n226-\t\t\t}\n227-\t\t}\n228-\t} // auth < 2 return nothing for this route\n229-\n230-\ti[\"tagmap\"] = tagMap\n231-\treturn i\n232-}\n233-\n234-/ FIXME: Lots of redundant code. Needs refactoring\n235:func buildFilterPresets(query url.Values) map[string]any {\n236-\tfilterPresets := map[string]any{}\n237-\n238-\tif query.Get(\"cluster\") != \"\" {\n239-\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n240-\t}\n241-\tif query.Get(\"partition\") != \"\" {\n242-\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n243-\t}\n244-\tif query.Get(\"project\") != \"\" {\n245-\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n246-\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n247-\t}\n248-\tif query.Get(\"jobName\") != \"\" {\n249-\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n250-\t}\n251-\tif len(query[\"user\"]) != 0 {\n252-\t\tif len(query[\"user\"]) == 1 {\n253-\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n254-\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n255-\t\t} else {\n256-\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n257-\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n258-\t\t}\n259-\t}\n260-\tif len(query[\"state\"]) != 0 {\n261-\t\tfilterPresets[\"state\"] = query[\"state\"]\n262-\t}\n263-\tif query.Get(\"shared\") != \"\" {\n264-\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n265-\t}"}]},"uuid":"afe1f0de-00af-4dd1-bd75-2eacb5d5cad5","timestamp":"2026-03-12T11:45:57.882Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"080b77bb-1cb1-498f-8901-5d7827c8538f","timestamp":"2026-03-12T11:45:57.883Z"} +{"parentUuid":"080b77bb-1cb1-498f-8901-5d7827c8538f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:00.706Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01TPCiRRrnz1PveRwEF8DnK5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CMeiHLLitHFb1N4FqiE1FD","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","offset":235,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1012,"cache_read_input_tokens":62323,"cache_creation":{"ephemeral_5m_input_tokens":1012,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8Wdca7UXZUX47tUg6f","uuid":"a43d55ec-12e3-42b0-beea-50d4294a744d"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"c41f9a9b-f8df-40cf-be33-30ecf0b10516","timestamp":"2026-03-12T11:46:00.707Z"} +{"parentUuid":"c41f9a9b-f8df-40cf-be33-30ecf0b10516","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CMeiHLLitHFb1N4FqiE1FD","type":"tool_result","content":" 235→func buildFilterPresets(query url.Values) map[string]any {\n 236→\tfilterPresets := map[string]any{}\n 237→\n 238→\tif query.Get(\"cluster\") != \"\" {\n 239→\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n 240→\t}\n 241→\tif query.Get(\"partition\") != \"\" {\n 242→\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n 243→\t}\n 244→\tif query.Get(\"project\") != \"\" {\n 245→\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n 246→\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n 247→\t}\n 248→\tif query.Get(\"jobName\") != \"\" {\n 249→\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n 250→\t}\n 251→\tif len(query[\"user\"]) != 0 {\n 252→\t\tif len(query[\"user\"]) == 1 {\n 253→\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n 254→\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n 255→\t\t} else {\n 256→\t\t\tfilterPresets[\"user\"] = query[\"user\"]\n 257→\t\t\tfilterPresets[\"userMatch\"] = \"in\"\n 258→\t\t}\n 259→\t}\n 260→\tif len(query[\"state\"]) != 0 {\n 261→\t\tfilterPresets[\"state\"] = query[\"state\"]\n 262→\t}\n 263→\tif query.Get(\"shared\") != \"\" {\n 264→\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n 265→\t}\n 266→\tif query.Get(\"schedule\") != \"\" {\n 267→\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n 268→\t}\n 269→\tif rawtags, ok := query[\"tag\"]; ok {\n 270→\t\ttags := make([]int, len(rawtags))\n 271→\t\tfor i, tid := range rawtags {\n 272→\t\t\tvar err error\n 273→\t\t\ttags[i], err = strconv.Atoi(tid)\n 274→\t\t\tif err != nil {\n 275→\t\t\t\ttags[i] = -1\n 276→\t\t\t}\n 277→\t\t}\n 278→\t\tfilterPresets[\"tags\"] = tags\n 279→\t}\n 280→\tif query.Get(\"duration\") != \"\" {\n 281→\t\tparts := strings.Split(query.Get(\"duration\"), \"-\")\n 282→\t\tif len(parts) == 2 {\n 283→\t\t\tif parts[0] == \"lessthan\" {\n 284→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 285→\t\t\t\tif lte == nil {\n 286→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"lessThan\": lt, \"from\": 0, \"to\": 0}\n 287→\t\t\t\t}\n 288→\t\t\t} else if parts[0] == \"morethan\" {\n 289→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 290→\t\t\t\tif mte == nil {\n 291→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"moreThan\": mt, \"from\": 0, \"to\": 0}\n 292→\t\t\t\t}\n 293→\t\t\t} else {\n 294→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 295→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 296→\t\t\t\tif e1 == nil && e2 == nil {\n 297→\t\t\t\t\tfilterPresets[\"duration\"] = map[string]int{\"from\": a, \"to\": b}\n 298→\t\t\t\t}\n 299→\t\t\t}\n 300→\t\t}\n 301→\t}\n 302→\tif query.Get(\"node\") != \"\" {\n 303→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n 304→\t}\n 305→\tif query.Get(\"numNodes\") != \"\" {\n 306→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n 307→\t\tif len(parts) == 2 {\n 308→\t\t\tif parts[0] == \"lessthan\" {\n 309→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 310→\t\t\t\tif lte == nil {\n 311→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n 312→\t\t\t\t}\n 313→\t\t\t} else if parts[0] == \"morethan\" {\n 314→\t\t\t\tmt, mte := strconv.Atoi(parts[1])"}]},"uuid":"fbf82b86-6ed3-4c09-a57e-4eae9447423a","timestamp":"2026-03-12T11:46:00.732Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"af72b628-7428-408e-b97e-df68bf99f366","timestamp":"2026-03-12T11:46:00.800Z"} +{"parentUuid":"af72b628-7428-408e-b97e-df68bf99f366","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:02.649Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SMgnVD1KoTS9gXCkqVYahH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XoFfBePZmigwwTjbh8EXJ6","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","offset":300,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1687,"cache_read_input_tokens":63335,"cache_creation":{"ephemeral_5m_input_tokens":1687,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8WrE6dehKNV87XCuDm","uuid":"fd26497b-c349-4de5-baff-755090af241a"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"83fb17db-ea36-4484-91fc-100539bd1dc2","timestamp":"2026-03-12T11:46:02.649Z"} +{"parentUuid":"83fb17db-ea36-4484-91fc-100539bd1dc2","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XoFfBePZmigwwTjbh8EXJ6","type":"tool_result","content":" 300→\t\t}\n 301→\t}\n 302→\tif query.Get(\"node\") != \"\" {\n 303→\t\tfilterPresets[\"node\"] = query.Get(\"node\")\n 304→\t}\n 305→\tif query.Get(\"numNodes\") != \"\" {\n 306→\t\tparts := strings.Split(query.Get(\"numNodes\"), \"-\")\n 307→\t\tif len(parts) == 2 {\n 308→\t\t\tif parts[0] == \"lessthan\" {\n 309→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 310→\t\t\t\tif lte == nil {\n 311→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": 1, \"to\": lt}\n 312→\t\t\t\t}\n 313→\t\t\t} else if parts[0] == \"morethan\" {\n 314→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 315→\t\t\t\tif mte == nil {\n 316→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": mt, \"to\": 0}\n 317→\t\t\t\t}\n 318→\t\t\t} else {\n 319→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 320→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 321→\t\t\t\tif e1 == nil && e2 == nil {\n 322→\t\t\t\t\tfilterPresets[\"numNodes\"] = map[string]int{\"from\": a, \"to\": b}\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\tif query.Get(\"numHWThreads\") != \"\" {\n 328→\t\tparts := strings.Split(query.Get(\"numHWThreads\"), \"-\")\n 329→\t\tif len(parts) == 2 {\n 330→\t\t\tif parts[0] == \"lessthan\" {\n 331→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 332→\t\t\t\tif lte == nil {\n 333→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": 1, \"to\": lt}\n 334→\t\t\t\t}\n 335→\t\t\t} else if parts[0] == \"morethan\" {\n 336→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 337→\t\t\t\tif mte == nil {\n 338→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": mt, \"to\": 0}\n 339→\t\t\t\t}\n 340→\t\t\t} else {\n 341→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 342→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 343→\t\t\t\tif e1 == nil && e2 == nil {\n 344→\t\t\t\t\tfilterPresets[\"numHWThreads\"] = map[string]int{\"from\": a, \"to\": b}\n 345→\t\t\t\t}\n 346→\t\t\t}\n 347→\t\t}\n 348→\t}\n 349→\tif query.Get(\"numAccelerators\") != \"\" {\n 350→\t\tparts := strings.Split(query.Get(\"numAccelerators\"), \"-\")\n 351→\t\tif len(parts) == 2 {\n 352→\t\t\tif parts[0] == \"lessthan\" {\n 353→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 354→\t\t\t\tif lte == nil {\n 355→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": 1, \"to\": lt}\n 356→\t\t\t\t}\n 357→\t\t\t} else if parts[0] == \"morethan\" {\n 358→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 359→\t\t\t\tif mte == nil {\n 360→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": mt, \"to\": 0}\n 361→\t\t\t\t}\n 362→\t\t\t} else {\n 363→\t\t\t\ta, e1 := strconv.Atoi(parts[0])\n 364→\t\t\t\tb, e2 := strconv.Atoi(parts[1])\n 365→\t\t\t\tif e1 == nil && e2 == nil {\n 366→\t\t\t\t\tfilterPresets[\"numAccelerators\"] = map[string]int{\"from\": a, \"to\": b}\n 367→\t\t\t\t}\n 368→\t\t\t}\n 369→\t\t}\n 370→\t}\n 371→\tif len(query[\"dbId\"]) != 0 {\n 372→\t\tfilterPresets[\"dbId\"] = query[\"dbId\"]\n 373→\t}\n 374→\tif query.Get(\"jobId\") != \"\" {\n 375→\t\tif len(query[\"jobId\"]) == 1 {\n 376→\t\t\tfilterPresets[\"jobId\"] = query.Get(\"jobId\")\n 377→\t\t\tfilterPresets[\"jobIdMatch\"] = \"eq\"\n 378→\t\t} else {\n 379→\t\t\tfilterPresets[\"jobId\"] = query[\"jobId\"]"}]},"uuid":"ac4ecd24-b46e-4fce-a7c4-58cd90f0d12c","timestamp":"2026-03-12T11:46:02.660Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"b920217f-ac38-4b56-82df-8906a995517c","timestamp":"2026-03-12T11:46:02.675Z"} +{"parentUuid":"b920217f-ac38-4b56-82df-8906a995517c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:05.056Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01DSPjTc7aHL2NnPZQyB465u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SGcXfwvAY1stpcwKW85ysi","name":"Grep","input":{"pattern":"startTime|query.Get","path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","output_mode":"content","context":2,"head_limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":1423,"cache_read_input_tokens":65022,"cache_creation":{"ephemeral_5m_input_tokens":1423,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8Wz7s9ZZnEi7g78nQc","uuid":"eaf3d5d7-12a3-4748-9b25-b0274fbc8dc4"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f6692360-7af0-415a-9c7d-70cc844ebfb4","timestamp":"2026-03-12T11:46:05.057Z"} +{"parentUuid":"f6692360-7af0-415a-9c7d-70cc844ebfb4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SGcXfwvAY1stpcwKW85ysi","type":"tool_result","content":"236-\tfilterPresets := map[string]any{}\n237-\n238:\tif query.Get(\"cluster\") != \"\" {\n239:\t\tfilterPresets[\"cluster\"] = query.Get(\"cluster\")\n240-\t}\n241:\tif query.Get(\"partition\") != \"\" {\n242:\t\tfilterPresets[\"partition\"] = query.Get(\"partition\")\n243-\t}\n244:\tif query.Get(\"project\") != \"\" {\n245:\t\tfilterPresets[\"project\"] = query.Get(\"project\")\n246-\t\tfilterPresets[\"projectMatch\"] = \"eq\"\n247-\t}\n248:\tif query.Get(\"jobName\") != \"\" {\n249:\t\tfilterPresets[\"jobName\"] = query.Get(\"jobName\")\n250-\t}\n251-\tif len(query[\"user\"]) != 0 {\n252-\t\tif len(query[\"user\"]) == 1 {\n253:\t\t\tfilterPresets[\"user\"] = query.Get(\"user\")\n254-\t\t\tfilterPresets[\"userMatch\"] = \"contains\"\n255-\t\t} else {\n--\n261-\t\tfilterPresets[\"state\"] = query[\"state\"]\n262-\t}\n263:\tif query.Get(\"shared\") != \"\" {\n264:\t\tfilterPresets[\"shared\"] = query.Get(\"shared\")\n265-\t}\n266:\tif query.Get(\"schedule\") != \"\" {\n267:\t\tfilterPresets[\"schedule\"] = query.Get(\"schedule\")\n268-\t}\n269-\tif rawtags, ok := query[\"tag\"]; ok {\n\n[Showing results with pagination = limit: 30, offset: 0]"}]},"uuid":"8bf01b63-c072-46c4-8c49-544611dd8871","timestamp":"2026-03-12T11:46:05.077Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f6efedc0-d446-4f26-a229-1d4a11d65146","timestamp":"2026-03-12T11:46:05.090Z"} +{"parentUuid":"f6efedc0-d446-4f26-a229-1d4a11d65146","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:06.256Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01BUZdKB5K4YQJJ8Nc6ee58E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KM4iyY8YzW8yiS63ERCGkB","name":"Bash","input":{"command":"grep -n \"startTime\\|fromTime\\|toTime\" /Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":592,"cache_read_input_tokens":66445,"cache_creation":{"ephemeral_5m_input_tokens":592,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8XARjJnyfPcC7CBPrU","uuid":"7c9b9410-74fc-49b3-b494-076eb37e2b07"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"ff4f1b07-dd78-4fb5-9bfc-d60b31241d67","timestamp":"2026-03-12T11:46:06.257Z"} +{"parentUuid":"ff4f1b07-dd78-4fb5-9bfc-d60b31241d67","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KM4iyY8YzW8yiS63ERCGkB","type":"tool_result","content":"388:\tif query.Get(\"startTime\") != \"\" {\n389:\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n394:\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n400:\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n401:\t\t\t\t\"range\": query.Get(\"startTime\"),\n530:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n532:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n538:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n540:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&arrayJobId=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \")), http.StatusFound) // All Users: Redirect to Tablequery\n543:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+url.QueryEscape(strings.Trim(splitSearch[1], \" \"))+\"&startTime=last30d\", http.StatusFound)\n551:\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=\"+joinedNames+\"&startTime=last30d\", http.StatusFound)\n554:\t\t\t\t\t\thttp.Redirect(rw, r, \"/monitoring/users/?user=NoUserNameFound&startTime=last30d\", http.StatusPermanentRedirect)\n575:\t\t\t\tfromTime := strconv.FormatInt((time.Now().Unix() - int64(30*24*3600)), 10)\n577:\t\t\t\thttp.Redirect(rw, r, \"/monitoring/jobs/?startTime=\"+fromTime+\"-\"+untilTime+\"&jobName=\"+url.QueryEscape(jobname), http.StatusFound) // 30D Fitler + JobName (contains)","is_error":false}]},"uuid":"7205366d-9497-4ba0-bf4f-1a3269714e1d","timestamp":"2026-03-12T11:46:06.305Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"f4e1dd73-e638-4947-b05f-d5865be9805a","timestamp":"2026-03-12T11:46:06.306Z"} +{"parentUuid":"f4e1dd73-e638-4947-b05f-d5865be9805a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:09.826Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01KFZCgocbThnsNWNMTEAfxQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PfJSrsRMdD7Yx9wWDQvC6K","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/routerConfig/routes.go","offset":388,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":931,"cache_read_input_tokens":67037,"cache_creation":{"ephemeral_5m_input_tokens":931,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8XFcXBXov9WQo4ntya","uuid":"76fa7a03-dafe-4d58-b423-2ec377cbe93d"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"86456818-e43a-4883-b58e-aa791a851234","timestamp":"2026-03-12T11:46:09.826Z"} +{"parentUuid":"86456818-e43a-4883-b58e-aa791a851234","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PfJSrsRMdD7Yx9wWDQvC6K","type":"tool_result","content":" 388→\tif query.Get(\"startTime\") != \"\" {\n 389→\t\tparts := strings.Split(query.Get(\"startTime\"), \"-\")\n 390→\t\tif len(parts) == 2 { // Time in seconds, from - to\n 391→\t\t\ta, e1 := strconv.ParseInt(parts[0], 10, 64)\n 392→\t\t\tb, e2 := strconv.ParseInt(parts[1], 10, 64)\n 393→\t\t\tif e1 == nil && e2 == nil {\n 394→\t\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n 395→\t\t\t\t\t\"from\": time.Unix(a, 0).Format(time.RFC3339),\n 396→\t\t\t\t\t\"to\": time.Unix(b, 0).Format(time.RFC3339),\n 397→\t\t\t\t}\n 398→\t\t\t}\n 399→\t\t} else { // named range\n 400→\t\t\tfilterPresets[\"startTime\"] = map[string]string{\n 401→\t\t\t\t\"range\": query.Get(\"startTime\"),\n 402→\t\t\t}\n 403→\t\t}\n 404→\t}\n 405→\tif query.Get(\"energy\") != \"\" {\n 406→\t\tparts := strings.Split(query.Get(\"energy\"), \"-\")\n 407→\t\tif len(parts) == 2 {\n 408→\t\t\tif parts[0] == \"lessthan\" {\n 409→\t\t\t\tlt, lte := strconv.Atoi(parts[1])\n 410→\t\t\t\tif lte == nil {\n 411→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": 1, \"to\": lt}\n 412→\t\t\t\t}\n 413→\t\t\t} else if parts[0] == \"morethan\" {\n 414→\t\t\t\tmt, mte := strconv.Atoi(parts[1])\n 415→\t\t\t\tif mte == nil {\n 416→\t\t\t\t\tfilterPresets[\"energy\"] = map[string]int{\"from\": mt, \"to\": 0}\n 417→\t\t\t\t}"}]},"uuid":"cb0163d7-3092-40be-b148-4d4832855b21","timestamp":"2026-03-12T11:46:09.832Z"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"c367fbf0-76fc-422c-8c79-0e493b30dc30","timestamp":"2026-03-12T11:46:09.833Z"} +{"parentUuid":"c367fbf0-76fc-422c-8c79-0e493b30dc30","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-12T11:46:11.676Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01NWaVcqgQDMAYvVTNrRsBeN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PGbb1iKmrwg1wncXfXnJJ8","name":"Grep","input":{"pattern":"applyFilters|updateFilters","path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/generic/Filters.svelte","output_mode":"content","context":5,"head_limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":0,"cache_creation_input_tokens":651,"cache_read_input_tokens":67968,"cache_creation":{"ephemeral_5m_input_tokens":651,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYy8XWhsnupmaAMqTVgaj","uuid":"3a1862ed-5e7b-4822-8f52-a053167070eb"},"type":"agent_progress","prompt":"","agentId":"a76ed373ae73bdc18"},"toolUseID":"agent_msg_017mCGn1fu9DfpDrXAMH7sSB","parentToolUseID":"toolu_01L2wX5pHxehktnRkRAHuwgZ","uuid":"46f4f36c-6136-4cbf-85c5-0e6cc83019b3","timestamp":"2026-03-12T11:46:11.676Z"} +{"parentUuid":"46f4f36c-6136-4cbf-85c5-0e6cc83019b3","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"3f83174b-0ec7-4466-8bc9-b6b52eb8bbfb","version":"2.1.72","gitBranch":"hotfix","slug":"calm-sniffing-frog","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PGbb1iKmrwg1wncXfXnJJ8","type":"tool_result","content":"8- - `startTimeQuickSelect Bool?`: Render startTime quick selections [Default: false]\n9- - `shortJobQuickSelect Bool?`: Render short job quick selections [Default: false]\n10- - `shortJobCutoff Int?`: Time in seconds for jobs to be considered short [Default: null]\n11- - `matchedJobs Number?`: Number of jobs matching the filter [Default: -2]\n12- - `showFilter Func`: If the filter component should be rendered in addition to total count info [Default: true]\n13: - `applyFilters Func`: The callback function to apply current filter selection\n14- \n15- Functions:\n16: - `void updateFilters (additionalFilters: Object, force: Bool)`:\n17- Handles new filters from nested components, triggers upstream update event. \n18- 'additionalFilters' usually added to existing selection, but can be forced to overwrite instead.\n19--->\n20-\n21-\n 198→\n 199→\n 200→\n 201→ \n 202→ \n 203→ \n 204→ \n 205→ \n 206→ Duration Bin Size\n 207→ \n 208→ {#each durationBinOptions as dbin}\n 209→ \n 210→ {/each}\n 211→ \n 212→ \n 213→ \n 214→ \n 215→ {\n 218→ pagingState = { page: 1, itemsPerPage: 10 };\n 219→ selectedHistograms = [...$state.snapshot(selectedHistograms)];\n 220→ }}\n 221→ />\n 222→ \n 223→\n 224→\n 225→
\n 226→\n 227→\n 228→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 229→ \n 230→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 231→ \n 232→ \n 233→ {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n 234→ \n 248→ {/key}\n 249→ \n 250→ \n 251→
\n 252→

Top Users: Jobs

\n 253→ tu[\"totalJobs\"],\n 260→ )}\n 261→ entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n 262→ scrambleNames ? scramble(tu.id) : tu.id,\n 263→ )}\n 264→ />\n 265→
\n 266→ \n 267→ \n 268→ \n 269→ \n 270→ \n 271→ \n 272→ \n 273→ \n 274→ {#each $topStatsQuery.data.topUserJobs as tu, i}\n 275→ \n 276→ \n 279→ \n 288→ {#if tu?.name}\n 289→ {scrambleNames ? scramble(tu.name) : tu.name}\n 294→ {/if}\n 295→ \n 296→ \n 297→ {/each}\n 298→
UserJobs
\n 280→ {scrambleNames ? scramble(tu.id) : tu.id}\n 286→ \n 287→ {tu[\"totalJobs\"]}
\n 299→ \n 300→\n 301→ \n 302→

Top Projects: Jobs

\n 303→ tp[\"totalJobs\"],\n 310→ )}\n 311→ entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n 312→ scrambleNames ? scramble(tp.id) : tp.id,\n 313→ )}\n 314→ />\n 315→ \n 316→ \n 317→ \n 318→ \n 319→ \n 320→ \n 321→ \n 322→ \n 323→ {#each $topStatsQuery.data.topProjectJobs as tp, i}\n 324→ \n 325→ \n 328→ \n 337→ \n 338→ \n 339→ {/each}\n 340→
ProjectJobs
\n 329→ {scrambleNames ? scramble(tp.id) : tp.id}\n 335→ \n 336→ {tp[\"totalJobs\"]}
\n 341→ \n 342→ \n 343→{:else}\n 344→ Cannot render job status charts: No data!\n 347→{/if}\n 348→\n 349→
\n 350→\n 351→\n 352→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 353→ \n 354→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 355→ \n 356→ \n 357→ \n 369→ \n 370→ \n 371→
\n 372→

Top Users: Nodes

\n 373→ tu[\"totalNodes\"],\n 380→ )}\n 381→ entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n 382→ scrambleNames ? scramble(tu.id) : tu.id,\n 383→ )}\n 384→ />\n 385→
\n 386→ \n 387→ \n 388→ \n 389→ \n 390→ \n 391→ \n 392→ \n 393→ \n 394→ {#each $topStatsQuery.data.topUserNodes as tu, i}\n 395→ \n 396→ \n 399→ \n 408→ {#if tu?.name}\n 409→ {scrambleNames ? scramble(tu.name) : tu.name}\n 414→ {/if}\n 415→ \n 416→ \n 417→ {/each}\n 418→
UserNodes
\n 400→ {scrambleNames ? scramble(tu.id) : tu.id}\n 406→ \n 407→ {tu[\"totalNodes\"]}
\n 419→ \n 420→\n 421→ \n 422→

Top Projects: Nodes

\n 423→ tp[\"totalNodes\"],\n 430→ )}\n 431→ entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n 432→ scrambleNames ? scramble(tp.id) : tp.id,\n 433→ )}\n 434→ />\n 435→ \n 436→ \n 437→ \n 438→ \n 439→ \n 440→ \n 441→ \n 442→ \n 443→ {#each $topStatsQuery.data.topProjectNodes as tp, i}\n 444→ \n 445→ \n 448→ \n 457→ \n 458→ \n 459→ {/each}\n 460→
ProjectNodes
\n 449→ {scrambleNames ? scramble(tp.id) : tp.id}\n 455→ \n 456→ {tp[\"totalNodes\"]}
\n 461→ \n 462→ \n 463→{:else}\n 464→ Cannot render node status charts: No data!\n 467→{/if}\n 468→\n 469→
\n 470→\n 471→\n 472→{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n 473→ \n 474→{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n 475→ \n 476→ \n 477→ \n 489→ \n 490→ \n 491→
\n 492→

Top Users: GPUs

\n 493→ tu[\"totalAccs\"],\n 500→ )}\n 501→ entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n 502→ scrambleNames ? scramble(tu.id) : tu.id,\n 503→ )}\n 504→ />\n 505→
\n 506→ \n 507→ \n 508→ \n 509→ \n 510→ \n 511→ \n 512→ \n 513→ \n 514→ {#each $topStatsQuery.data.topUserAccs as tu, i}\n 515→ \n 516→ \n 519→ \n 528→ {#if tu?.name}\n 529→ {scrambleNames ? scramble(tu.name) : tu.name}\n 534→ {/if}\n 535→ \n 536→ \n 537→ {/each}\n 538→
UserGPUs
\n 520→ {scrambleNames ? scramble(tu.id) : tu.id}\n 526→ \n 527→ {tu[\"totalAccs\"]}
\n 539→ \n 540→\n 541→ \n 542→

Top Projects: GPUs

\n 543→ tp[\"totalAccs\"],\n 550→ )}\n 551→ entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n 552→ scrambleNames ? scramble(tp.id) : tp.id,\n 553→ )}\n 554→ />\n 555→ \n 556→ \n 557→ \n 558→ \n 559→ \n 560→ \n 561→ \n 562→ \n 563→ {#each $topStatsQuery.data.topProjectAccs as tp, i}\n 564→ \n 565→ \n 568→ \n 577→ \n 578→ \n 579→ {/each}\n 580→
ProjectGPUs
\n 569→ {scrambleNames ? scramble(tp.id) : tp.id}\n 575→ \n 576→ {tp[\"totalAccs\"]}
\n 581→ \n 582→ \n 583→{:else}\n 584→ Cannot render accelerator status charts: No data!\n 587→{/if}\n 588→"}]},"uuid":"894b1de1-e248-46f0-8847-fbcb87c9e4a2","timestamp":"2026-03-13T13:24:15.924Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","content":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
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columns\n 3→-- These indexes allow the status views to be served entirely from index scans.\n 4→\n 5→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user_stats\n 6→ ON job (cluster, job_state, hpc_user, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 7→\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project_stats\n 9→ ON job (cluster, job_state, project, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 10→\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_subcluster_stats\n 12→ ON job (cluster, job_state, subcluster, duration, start_time, num_nodes, num_hwthreads, num_acc);\n 13→\n 14→-- Drop 3-col indexes that are now subsumed by the covering indexes above\n 15→DROP INDEX IF EXISTS jobs_cluster_jobstate_user;\n 16→DROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n 17→\n 18→PRAGMA optimize;\n 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num_acc);\n\n-- Drop 3-col indexes that are now subsumed by the covering indexes above\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project;\n\nPRAGMA optimize;\n","numLines":19,"startLine":1,"totalLines":19}},"sourceToolAssistantUUID":"5ca62a38-5bbb-497a-af32-a43d4e8dce5b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"math\"\n 12→\t\"slices\"\n 13→\n 14→\t\"github.com/99designs/gqlgen/graphql\"\n 15→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 16→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 17→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 18→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 19→)\n 20→\n 21→const MAX_JOBS_FOR_ANALYSIS = 500\n 22→\n 23→// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\n 24→func (r *queryResolver) rooflineHeatmap(\n 25→\tctx context.Context,\n 26→\tfilter []*model.JobFilter,\n 27→\trows int, cols int,\n 28→\tminX float64, minY float64, maxX float64, maxY float64,\n 29→) ([][]float64, error) {\n 30→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 31→\tif err != nil {\n 32→\t\tcclog.Error(\"Error while querying jobs for roofline\")\n 33→\t\treturn nil, err\n 34→\t}\n 35→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 36→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 37→\t}\n 38→\n 39→\tfcols, frows := float64(cols), float64(rows)\n 40→\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n 41→\ttiles := make([][]float64, rows)\n 42→\tfor i := range tiles {\n 43→\t\ttiles[i] = make([]float64, cols)\n 44→\t}\n 45→\n 46→\tfor _, job := range jobs {\n 47→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 48→\t\t\tcontinue\n 49→\t\t}\n 50→\n 51→\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n 52→\t\t// resolution := 0\n 53→\n 54→\t\t// for _, mc := range metricConfigs {\n 55→\t\t// \tresolution = max(resolution, mc.Timestep)\n 56→\t\t// }\n 57→\n 58→\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n 59→\t\tif err != nil {\n 60→\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n 61→\t\t\treturn nil, err\n 62→\t\t}\n 63→\n 64→\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n 65→\t\tif flops_ == nil && membw_ == nil {\n 66→\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n 67→\t\t\tcontinue\n 68→\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n 69→\t\t}\n 70→\n 71→\t\tflops, ok1 := flops_[\"node\"]\n 72→\t\tmembw, ok2 := membw_[\"node\"]\n 73→\t\tif !ok1 || !ok2 {\n 74→\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 75→\t\t\tcontinue\n 76→\t\t\t// TODO/FIXME:\n 77→\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n 78→\t\t}\n 79→\n 80→\t\tfor n := 0; n < len(flops.Series); n++ {\n 81→\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n 82→\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n 83→\t\t\t\tif i >= len(membwSeries.Data) {\n 84→\t\t\t\t\tbreak\n 85→\t\t\t\t}\n 86→\n 87→\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n 88→\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n 89→\t\t\t\t\tcontinue\n 90→\t\t\t\t}\n 91→\n 92→\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n 93→\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n 94→\t\t\t\t\tcontinue\n 95→\t\t\t\t}\n 96→\n 97→\t\t\t\ttiles[int(y)][int(x)] += 1\n 98→\t\t\t}\n 99→\t\t}\n 100→\t}\n 101→\n 102→\treturn tiles, nil\n 103→}\n 104→\n 105→// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\n 106→func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n 107→\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n 108→\tif err != nil {\n 109→\t\tcclog.Error(\"Error while querying jobs for footprint\")\n 110→\t\treturn nil, err\n 111→\t}\n 112→\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n 113→\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n 114→\t}\n 115→\n 116→\tavgs := make([][]schema.Float, len(metrics))\n 117→\tfor i := range avgs {\n 118→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 119→\t}\n 120→\n 121→\ttimeweights := new(model.TimeWeights)\n 122→\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n 123→\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n 124→\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n 125→\n 126→\tfor _, job := range jobs {\n 127→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 128→\t\t\tcontinue\n 129→\t\t}\n 130→\n 131→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 132→\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n 133→\t\t\treturn nil, err\n 134→\t\t}\n 135→\n 136→\t\t// #166 collect arrays: Null values or no null values?\n 137→\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n 138→\t\tif job.NumAcc > 0 {\n 139→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n 140→\t\t} else {\n 141→\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n 142→\t\t}\n 143→\t\tif job.NumHWThreads > 0 {\n 144→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n 145→\t\t} else {\n 146→\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n 147→\t\t}\n 148→\t}\n 149→\n 150→\tres := make([]*model.MetricFootprints, len(avgs))\n 151→\tfor i, arr := range avgs {\n 152→\t\tres[i] = &model.MetricFootprints{\n 153→\t\t\tMetric: metrics[i],\n 154→\t\t\tData: arr,\n 155→\t\t}\n 156→\t}\n 157→\n 158→\treturn &model.Footprints{\n 159→\t\tTimeWeights: timeweights,\n 160→\t\tMetrics: res,\n 161→\t}, nil\n 162→}\n 163→\n 164→// func numCoresForJob(job *schema.Job) (numCores int) {\n 165→\n 166→// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n 167→// \tif scerr != nil {\n 168→// \t\treturn 1\n 169→// \t}\n 170→\n 171→// \ttotalJobCores := 0\n 172→// \ttopology := subcluster.Topology\n 173→\n 174→// \tfor _, host := range job.Resources {\n 175→// \t\thwthreads := host.HWThreads\n 176→// \t\tif hwthreads == nil {\n 177→// \t\t\thwthreads = topology.Node\n 178→// \t\t}\n 179→\n 180→// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n 181→// \t\ttotalJobCores += len(hostCores)\n 182→// \t}\n 183→\n 184→// \treturn totalJobCores\n 185→// }\n 186→\n 187→func requireField(ctx context.Context, name string) bool {\n 188→\tfields := graphql.CollectAllFields(ctx)\n 189→\n 190→\treturn slices.Contains(fields, name)\n 191→}\n 192→"}]},"uuid":"db646daa-34ea-4154-8717-ff7edd8d6297","timestamp":"2026-03-13T13:24:25.772Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/util.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"math\"\n\t\"slices\"\n\n\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\nconst MAX_JOBS_FOR_ANALYSIS = 500\n\n// Helper function for the rooflineHeatmap GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) rooflineHeatmap(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\trows int, cols int,\n\tminX float64, minY float64, maxX float64, maxY float64,\n) ([][]float64, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for roofline\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tfcols, frows := float64(cols), float64(rows)\n\tminX, minY, maxX, maxY = math.Log10(minX), math.Log10(minY), math.Log10(maxX), math.Log10(maxY)\n\ttiles := make([][]float64, rows)\n\tfor i := range tiles {\n\t\ttiles[i] = make([]float64, cols)\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\t// metricConfigs := archive.GetCluster(job.Cluster).MetricConfig\n\t\t// resolution := 0\n\n\t\t// for _, mc := range metricConfigs {\n\t\t// \tresolution = max(resolution, mc.Timestep)\n\t\t// }\n\n\t\tjobdata, err := metricdispatch.LoadData(job, []string{\"flops_any\", \"mem_bw\"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading roofline metrics for job %d\", *job.ID)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tflops_, membw_ := jobdata[\"flops_any\"], jobdata[\"mem_bw\"]\n\t\tif flops_ == nil && membw_ == nil {\n\t\t\tcclog.Warnf(\"rooflineHeatmap(): 'flops_any' or 'mem_bw' missing for job %d\", *job.ID)\n\t\t\tcontinue\n\t\t\t// return nil, fmt.Errorf(\"GRAPH/UTIL > 'flops_any' or 'mem_bw' missing for job %d\", job.ID)\n\t\t}\n\n\t\tflops, ok1 := flops_[\"node\"]\n\t\tmembw, ok2 := membw_[\"node\"]\n\t\tif !ok1 || !ok2 {\n\t\t\tcclog.Info(\"rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t\tcontinue\n\t\t\t// TODO/FIXME:\n\t\t\t// return nil, errors.New(\"GRAPH/UTIL > todo: rooflineHeatmap() query not implemented for where flops_any or mem_bw not available at 'node' level\")\n\t\t}\n\n\t\tfor n := 0; n < len(flops.Series); n++ {\n\t\t\tflopsSeries, membwSeries := flops.Series[n], membw.Series[n]\n\t\t\tfor i := 0; i < len(flopsSeries.Data); i++ {\n\t\t\t\tif i >= len(membwSeries.Data) {\n\t\t\t\t\tbreak\n\t\t\t\t}\n\n\t\t\t\tx, y := math.Log10(float64(flopsSeries.Data[i]/membwSeries.Data[i])), math.Log10(float64(flopsSeries.Data[i]))\n\t\t\t\tif math.IsNaN(x) || math.IsNaN(y) || x < minX || x >= maxX || y < minY || y > maxY {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\tx, y = math.Floor(((x-minX)/(maxX-minX))*fcols), math.Floor(((y-minY)/(maxY-minY))*frows)\n\t\t\t\tif x < 0 || x >= fcols || y < 0 || y >= frows {\n\t\t\t\t\tcontinue\n\t\t\t\t}\n\n\t\t\t\ttiles[int(y)][int(x)] += 1\n\t\t\t}\n\t\t}\n\t}\n\n\treturn tiles, nil\n}\n\n// Helper function for the jobsFootprints GraphQL query placed here so that schema.resolvers.go is not too full.\nfunc (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)\n\tif err != nil {\n\t\tcclog.Error(\"Error while querying jobs for footprint\")\n\t\treturn nil, err\n\t}\n\tif len(jobs) > MAX_JOBS_FOR_ANALYSIS {\n\t\treturn nil, fmt.Errorf(\"GRAPH/UTIL > too many jobs matched (max: %d)\", MAX_JOBS_FOR_ANALYSIS)\n\t}\n\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\ttimeweights := new(model.TimeWeights)\n\ttimeweights.NodeHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.AccHours = make([]schema.Float, 0, len(jobs))\n\ttimeweights.CoreHours = make([]schema.Float, 0, len(jobs))\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Error(\"Error while loading averages for footprint\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// #166 collect arrays: Null values or no null values?\n\t\ttimeweights.NodeHours = append(timeweights.NodeHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumNodes)))\n\t\tif job.NumAcc > 0 {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumAcc)))\n\t\t} else {\n\t\t\ttimeweights.AccHours = append(timeweights.AccHours, schema.Float(1.0))\n\t\t}\n\t\tif job.NumHWThreads > 0 {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(float64(job.Duration)/60.0*float64(job.NumHWThreads))) // SQLite HWThreads == Cores; numCoresForJob(job)\n\t\t} else {\n\t\t\ttimeweights.CoreHours = append(timeweights.CoreHours, schema.Float(1.0))\n\t\t}\n\t}\n\n\tres := make([]*model.MetricFootprints, len(avgs))\n\tfor i, arr := range avgs {\n\t\tres[i] = &model.MetricFootprints{\n\t\t\tMetric: metrics[i],\n\t\t\tData: arr,\n\t\t}\n\t}\n\n\treturn &model.Footprints{\n\t\tTimeWeights: timeweights,\n\t\tMetrics: res,\n\t}, nil\n}\n\n// func numCoresForJob(job *schema.Job) (numCores int) {\n\n// \tsubcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)\n// \tif scerr != nil {\n// \t\treturn 1\n// \t}\n\n// \ttotalJobCores := 0\n// \ttopology := subcluster.Topology\n\n// \tfor _, host := range job.Resources {\n// \t\thwthreads := host.HWThreads\n// \t\tif hwthreads == nil {\n// \t\t\thwthreads = topology.Node\n// \t\t}\n\n// \t\thostCores, _ := topology.GetCoresFromHWThreads(hwthreads)\n// \t\ttotalJobCores += len(hostCores)\n// \t}\n\n// \treturn totalJobCores\n// }\n\nfunc requireField(ctx context.Context, name string) bool {\n\tfields := graphql.CollectAllFields(ctx)\n\n\treturn slices.Contains(fields, 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EXISTS jobs_cluster_jobstate_project_stats;\n 5→DROP INDEX IF EXISTS jobs_cluster_jobstate_subcluster_stats;\n 6→\n 7→-- Restore the original 3-col indexes\n 8→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user\n 9→ ON job (cluster, job_state, hpc_user);\n 10→\n 11→CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project\n 12→ ON job (cluster, job_state, project);\n 13→"}]},"uuid":"8c63ac53-7436-4918-9440-ff1f29fd03ca","timestamp":"2026-03-13T13:24:26.843Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql","content":"-- Reverse migration 13: Remove covering status indexes, restore 3-col indexes\n\nDROP INDEX IF EXISTS jobs_cluster_jobstate_user_stats;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_project_stats;\nDROP INDEX IF EXISTS jobs_cluster_jobstate_subcluster_stats;\n\n-- Restore the original 3-col indexes\nCREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user\n 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This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"database/sql\"\n\t\"embed\"\n\t\"fmt\"\n\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/golang-migrate/migrate/v4\"\n\t\"github.com/golang-migrate/migrate/v4/database/sqlite3\"\n\t\"github.com/golang-migrate/migrate/v4/source/iofs\"\n)\n\n// Version is the current database schema version required by this version of cc-backend.\n// When the database schema changes, this version is incremented and a new migration file\n// is added to internal/repository/migrations/sqlite3/.\n//\n// Version history:\n// - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)\n// - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)\n// - Version 11: Optimize job table indexes (reduce from ~78 to 48)\n// - Version 10: Node table\n//\n// Migration files are embedded at build time from the migrations directory.\nconst Version uint = 13\n\n//go:embed migrations/*\nvar migrationFiles embed.FS\n\n// checkDBVersion verifies that the database schema version matches the expected version.\n// This is called automatically during Connect() to ensure schema compatibility.\n//\n// Returns an error if:\n// - Database version is older than expected (needs migration)\n// - Database version is newer than expected (needs app upgrade)\n// - Database is in a dirty state (failed migration)\n//\n// A \"dirty\" database indicates a migration was started but not completed successfully.\n// This requires manual intervention to fix the database and force the version.\nfunc checkDBVersion(db *sql.DB) error {\n\tdriver, err := sqlite3.WithInstance(db, &sqlite3.Config{})\n\tif err != nil {\n\t\treturn err\n\t}\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tm, err := migrate.NewWithInstance(\"iofs\", d, \"sqlite3\", driver)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Warn(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t} else if v > Version {\n\t\treturn fmt.Errorf(\"unsupported database version %d, need %d.\\nPlease refer to documentation how to downgrade db with external migrate tool\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\treturn nil\n}\n\n// getMigrateInstance creates a new migration instance for the given database file.\n// This is used internally by MigrateDB, RevertDB, and ForceDB.\nfunc getMigrateInstance(db string) (m *migrate.Migrate, err error) {\n\td, err := iofs.New(migrationFiles, \"migrations/sqlite3\")\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tm, err = migrate.NewWithSourceInstance(\"iofs\", d, fmt.Sprintf(\"sqlite3://%s?_foreign_keys=on\", db))\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn m, nil\n}\n\n// MigrateDB applies all pending database migrations to bring the schema up to date.\n// This should be run with the -migrate-db flag before starting the application\n// after upgrading to a new version that requires schema changes.\n//\n// Process:\n// 1. Checks current database version\n// 2. Applies all migrations from current version to target Version\n// 3. Updates schema_migrations table to track applied migrations\n//\n// Important:\n// - Always backup your database before running migrations\n// - Migrations are irreversible without manual intervention\n// - If a migration fails, the database is marked \"dirty\" and requires manual fix\n//\n// Usage:\n//\n//\tcc-backend -migrate-db\nfunc MigrateDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tv, dirty, err := m.Version()\n\tif err != nil {\n\t\tif err == migrate.ErrNilVersion {\n\t\t\tcclog.Info(\"Legacy database without version or missing database file!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tif v < Version {\n\t\tcclog.Infof(\"unsupported database version %d, need %d.\\nPlease backup your database file and run cc-backend -migrate-db\", v, Version)\n\t}\n\n\tif dirty {\n\t\treturn fmt.Errorf(\"last migration to version %d has failed, please fix the db manually and force version with -force-db flag\", Version)\n\t}\n\n\tif err := m.Up(); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// RevertDB rolls back the database schema to the previous version (Version - 1).\n// This is primarily used for testing or emergency rollback scenarios.\n//\n// Warning:\n// - This may cause data loss if newer schema added columns/tables\n// - Always backup before reverting\n// - Not all migrations are safely reversible\n//\n// Usage:\n//\n//\tcc-backend -revert-db\nfunc RevertDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Migrate(Version - 1); err != nil {\n\t\tif err == migrate.ErrNoChange {\n\t\t\tcclog.Info(\"DB already up to date!\")\n\t\t} else {\n\t\t\treturn err\n\t\t}\n\t}\n\n\tm.Close()\n\treturn nil\n}\n\n// ForceDB forces the database schema version to the current Version without running migrations.\n// This is only used to recover from failed migrations that left the database in a \"dirty\" state.\n//\n// When to use:\n// - After manually fixing a failed migration\n// - When you've manually applied schema changes and need to update the version marker\n//\n// Warning:\n// - This does NOT apply any schema changes\n// - Only use after manually verifying the schema is correct\n// - Improper use can cause schema/version mismatch\n//\n// Usage:\n//\n//\tcc-backend -force-db\nfunc ForceDB(db string) error {\n\tm, err := getMigrateInstance(db)\n\tif err != nil {\n\t\treturn err\n\t}\n\n\tif err := m.Force(int(Version)); err != nil {\n\t\treturn err\n\t}\n\n\tm.Close()\n\treturn nil\n}\n","structuredPatch":[{"oldStart":21,"oldLines":13,"newStart":21,"newLines":14,"lines":[" // is added to internal/repository/migrations/sqlite3/."," //"," // Version history:","+// - Version 14: Partial covering indexes for running jobs (tiny B-tree vs millions)"," // - Version 13: Add covering indexes for status/dashboard queries (cluster, job_state, ...)"," // - Version 12: Add covering index for stats queries (cluster, start_time, hpc_user, ...)"," // - Version 11: Optimize job table indexes (reduce from ~78 to 48)"," // - Version 10: Node table"," //"," // Migration files are embedded at build time from the migrations directory.","-const Version uint = 13","+const Version uint = 14"," "," //go:embed migrations/*"," var migrationFiles embed.FS"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ff233541-cb1b-437d-b5a1-5c4735dc3e48","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8db79658-fbad-4246-ac37-3f76c1f35785","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WEj69zhEqjxedFRgfHz39g","type":"message","role":"assistant","content":[{"type":"text","text":"Now inline the literal state value in `BuildWhereClause` for single-state filters:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"cache_creation":{"ephemeral_5m_input_tokens":535,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"e36bd6c7-6a8a-49d1-95ec-a8ff8995502e","timestamp":"2026-03-13T13:24:47.701Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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{"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":535,"cache_read_input_tokens":79474,"output_tokens":310,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":535},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rSv5Mih9WjuxitNif","type":"assistant","uuid":"baf6c3cd-6efa-4688-b896-009e95b689ce","timestamp":"2026-03-13T13:24:51.160Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"a67b6524-44f4-4584-a05d-caa94055263a","timestamp":"2026-03-13T13:24:51.181Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go","oldString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {","newString":"\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n\t\t} else {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package repository provides job query functionality with filtering, pagination,\n// and security controls. This file contains the main query builders and security\n// checks for job retrieval operations.\npackage repository\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"regexp\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\nconst (\n\t// Default initial capacity for job result slices\n\tdefaultJobsCapacity = 50\n)\n\n// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n// and sorting. Security controls are automatically applied based on the user context.\n//\n// Parameters:\n// - ctx: Context containing user authentication information\n// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n// - page: Optional pagination parameters (page number and items per page)\n// - order: Optional sorting specification (column or footprint field)\n//\n// Returns a slice of jobs matching the criteria, or an error if the query fails.\n// The function enforces role-based access control through SecurityCheck.\nfunc (r *JobRepository) QueryJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n\tpage *model.PageRequest,\n\torder *model.OrderByInput,\n) ([]*schema.Job, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tif order != nil {\n\t\tfield := toSnakeCase(order.Field)\n\t\tif order.Type == \"col\" {\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n\t\t\t}\n\t\t} else {\n\t\t\t// Order by footprint JSON field values\n\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n\t\t\tswitch order.Order {\n\t\t\tcase model.SortDirectionEnumAsc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n\t\t\tcase model.SortDirectionEnumDesc:\n\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n\t\t\tdefault:\n\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n\tif err != nil {\n\t\tqueryString, queryVars, _ := query.ToSql()\n\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n\t}\n\tdefer rows.Close()\n\n\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n\tfor rows.Next() {\n\t\tjob, err := scanJob(rows)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n\t\t}\n\t\tjobs = append(jobs, job)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n\t}\n\n\treturn jobs, nil\n}\n\n// CountJobs returns the total number of jobs matching the given filters.\n// Security controls are automatically applied based on the user context.\n// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n// times when joined with the tag table).\nfunc (r *JobRepository) CountJobs(\n\tctx context.Context,\n\tfilters []*model.JobFilter,\n) (int, error) {\n\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n\tif qerr != nil {\n\t\treturn 0, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\tvar count int\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n\t}\n\n\treturn count, nil\n}\n\n// SecurityCheckWithUser applies role-based access control filters to a job query\n// based on the provided user's roles and permissions.\n//\n// Access rules by role:\n// - API role (exclusive): Full access to all jobs\n// - Admin/Support roles: Full access to all jobs\n// - Manager role: Access to jobs in managed projects plus own jobs\n// - User role: Access only to own jobs\n//\n// Returns an error if the user is nil or has no recognized roles.\nfunc SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tif user == nil {\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n\t}\n\n\tswitch {\n\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n\t\treturn query, nil\n\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n\t\treturn query, nil\n\tcase user.HasRole(schema.RoleManager):\n\t\tif len(user.Projects) != 0 {\n\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n\t\t}\n\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tcase user.HasRole(schema.RoleUser):\n\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n\tdefault:\n\t\tvar qnil sq.SelectBuilder\n\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n\t}\n}\n\n// SecurityCheck extracts the user from the context and applies role-based access\n// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\nfunc SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n\tuser := GetUserFromContext(ctx)\n\treturn SecurityCheckWithUser(user, query)\n}\n\n// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n// them to the query. Supports filtering by job properties (cluster, state, user),\n// time ranges, resource usage, tags, and JSON field searches in meta_data,\n// footprint, and resources columns.\nfunc BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n\t// Primary Key\n\tif filter.DbID != nil {\n\t\tdbIDs := make([]string, len(filter.DbID))\n\t\tcopy(dbIDs, filter.DbID)\n\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n\t}\n\t// Explicit indices\n\tif filter.Cluster != nil {\n\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n\t}\n\tif filter.SubCluster != nil {\n\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n\t}\n\tif filter.Partition != nil {\n\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n\t}\n\tif filter.State != nil {\n\t\tif len(filter.State) == 1 {\n\t\t\tsingleStat := string(filter.State[0])\n\t\t\tquery = query.Where(\"job.job_state = ?\", singleStat)\n\t\t} else {\n\t\t\tstates := make([]string, len(filter.State))\n\t\t\tfor i, val := range filter.State {\n\t\t\t\tstates[i] = string(val)\n\t\t\t}\n\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n\t\t}\n\t}\n\tif filter.Shared != nil {\n\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n\t}\n\tif filter.Project != nil {\n\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n\t}\n\tif filter.User != nil {\n\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n\t}\n\tif filter.NumNodes != nil {\n\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n\t}\n\tif filter.NumAccelerators != nil {\n\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n\t}\n\tif filter.NumHWThreads != nil {\n\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n\t}\n\tif filter.ArrayJobID != nil {\n\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n\t}\n\tif filter.StartTime != nil {\n\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n\t}\n\tif filter.Duration != nil {\n\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n\t}\n\tif filter.Energy != nil {\n\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n\t}\n\t// Indices on Tag Table\n\tif filter.Tags != nil {\n\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n\t}\n\t// No explicit Indices\n\tif filter.JobID != nil {\n\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n\t}\n\t// Queries Within JSONs\n\tif filter.MetricStats != nil {\n\t\tfor _, ms := range filter.MetricStats {\n\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n\t\t}\n\t}\n\tif filter.Node != nil {\n\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n\t}\n\tif filter.JobName != nil {\n\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n\t}\n\tif filter.Schedule != nil {\n\t\tinteractiveJobname := \"interactive\"\n\t\tswitch *filter.Schedule {\n\t\tcase \"interactive\":\n\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n\t\tcase \"batch\":\n\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n\t\t}\n\t}\n\n\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n\tif filter.MinRunningFor != nil {\n\t\tnow := time.Now().Unix()\n\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n\t}\n\treturn query\n}\n\n// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\nfunc buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1 && cond.To == 0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1 && cond.To != 0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\nfunc buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(field+\" >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(field+\" <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildTimeCondition creates time range filters supporting absolute timestamps,\n// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\nfunc buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.From != nil && cond.To != nil {\n\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n\t} else if cond.From != nil {\n\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n\t} else if cond.To != nil {\n\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n\t} else if cond.Range != \"\" {\n\t\tnow := time.Now().Unix()\n\t\tvar then int64\n\t\tswitch cond.Range {\n\t\tcase \"last6h\":\n\t\t\tthen = now - (60 * 60 * 6)\n\t\tcase \"last24h\":\n\t\t\tthen = now - (60 * 60 * 24)\n\t\tcase \"last7d\":\n\t\t\tthen = now - (60 * 60 * 24 * 7)\n\t\tcase \"last30d\":\n\t\t\tthen = now - (60 * 60 * 24 * 30)\n\t\tdefault:\n\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n\t\t\treturn query\n\t\t}\n\t\treturn query.Where(field+\" >= ?\", then)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\nfunc buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(footprint)\")\n\tif cond.From != 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n\t} else if cond.From != 1.0 && cond.To == 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n\t} else if cond.From == 1.0 && cond.To != 0.0 {\n\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n\t} else {\n\t\treturn query\n\t}\n}\n\n// buildStringCondition creates filters for string fields supporting equality,\n// inequality, prefix, suffix, substring, and IN list matching.\nfunc buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tif cond.Eq != nil {\n\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\tif cond.In != nil {\n\t\tqueryElements := make([]string, len(cond.In))\n\t\tcopy(queryElements, cond.In)\n\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n\t}\n\treturn query\n}\n\n// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\nfunc buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(meta_data)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n\t}\n\tif cond.Neq != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\n// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n// Uses json_each to search within array elements.\nfunc buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n\tquery = query.Where(\"JSON_VALID(resources)\")\n\tif cond.Eq != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n\t}\n\tif cond.Neq != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n\t}\n\tif cond.StartsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n\t}\n\tif cond.EndsWith != nil { // Currently Unused\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n\t}\n\tif cond.Contains != nil {\n\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n\t}\n\treturn query\n}\n\nvar (\n\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n)\n\n// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n// Includes security checks to prevent SQL injection attempts.\n// Panics if potentially dangerous characters are detected.\nfunc toSnakeCase(str string) string {\n\tfor _, c := range str {\n\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n\t\t}\n\t}\n\n\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n\treturn strings.ToLower(snake)\n}\n","structuredPatch":[{"oldStart":198,"oldLines":8,"newStart":198,"newLines":10,"lines":[" }"," if filter.State != nil {"," if len(filter.State) == 1 {","+ // Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').","+ // Safe: values come from validated GraphQL enum (model.JobState)."," singleStat := string(filter.State[0])","- query = query.Where(\"job.job_state = ?\", singleStat)","+ query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))"," } else {"," states := 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cache**"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"cache_creation":{"ephemeral_5m_input_tokens":373,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","timestamp":"2026-03-13T13:24:53.881Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"70184ed1-de23-4e33-9c5b-8532686a4af2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01CvDFCtvYPhBkgsFKujEt5y","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","name":"Write","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":373,"cache_read_input_tokens":80009,"output_tokens":791,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":373},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19rv9gC4YpooR5SKKxn","type":"assistant","uuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","timestamp":"2026-03-13T13:25:03.438Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","toolUseID":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","timestamp":"2026-03-13T13:25:03.453Z","uuid":"35832531-83f3-4f3f-b96d-59c2bd91a447","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3cUuvNUVgsA1QdqpkY8SM","type":"tool_result","content":"File created successfully at: /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"}]},"uuid":"a042ca02-488c-424e-88b6-069c298261e5","timestamp":"2026-03-13T13:25:03.453Z","toolUseResult":{"type":"create","filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"2d24b9f0-17ba-4061-beef-cdbbedaa2699","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a042ca02-488c-424e-88b6-069c298261e5","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_012GEWpKRU5Mx73pN747mUiF","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the AroundOperations middleware in 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successfully."}]},"uuid":"fbc68978-0297-4973-88de-579028c2ffd2","timestamp":"2026-03-13T13:25:09.395Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\tgraphQLServer.AddTransport(transport.POST{})","newString":"\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":89,"oldLines":6,"newStart":89,"newLines":12,"lines":[" "," graphQLServer.AddTransport(transport.POST{})"," ","+ // Inject a per-request stats cache so that grouped statistics queries","+ // sharing the same (filter, groupBy) pair are executed only once.","+ graphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {","+ return next(graph.WithStatsGroupCache(ctx))","+ })","+"," if os.Getenv(envDebug) != \"1\" {"," // Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed."," // The problem with this is that then, no more stacktrace is printed to stderr."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"2ce24c06-01d6-4a1d-b5cd-ab18359a28d4","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"fbc68978-0297-4973-88de-579028c2ffd2","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"text","text":"I need to add the `graphql` import and export the `WithStatsGroupCache` function. Let me fix the export name first:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","timestamp":"2026-03-13T13:25:12.976Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1818b2c6-4c94-4d4a-a532-0249439dba81","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01H1bXsWff85qVjutmuZSNp4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","new_string":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":564,"cache_read_input_tokens":81217,"output_tokens":229,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":564},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tGaXXLjzsv5ttCeYQ","type":"assistant","uuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","timestamp":"2026-03-13T13:25:14.266Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","toolUseID":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","timestamp":"2026-03-13T13:25:14.291Z","uuid":"5d48dcd7-ac33-4c65-897d-bbd7bee95abd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NqmjnYdvuUCnDUU5z92Ysw","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated. All occurrences of '// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {' were successfully replaced with '// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {'."}]},"uuid":"7614be57-18de-43d4-8812-f22a8e194b90","timestamp":"2026-03-13T13:25:14.291Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {","newString":"// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// withStatsGroupCache injects a new cache into the context.\nfunc withStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":39,"oldLines":8,"newStart":39,"newLines":8,"lines":[" }"," }"," ","-// withStatsGroupCache injects a new cache into the context.","-func withStatsGroupCache(ctx context.Context) context.Context {","+// WithStatsGroupCache injects a new cache into the context.","+func WithStatsGroupCache(ctx context.Context) context.Context {"," return context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())"," }"," "]}],"userModified":false,"replaceAll":true},"sourceToolAssistantUUID":"6dba49ee-ead2-4357-a4de-d7b05a30a14f","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7614be57-18de-43d4-8812-f22a8e194b90","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"text","text":"Now add the `graphql` import in server.go:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"cache_creation":{"ephemeral_5m_input_tokens":350,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","timestamp":"2026-03-13T13:25:30.522Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"09813721-1b08-4f1b-8b91-a5f7e40bfab7","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EfUFviDtEyXqBAmfZ5tmq8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PzrJcsrW34E3y19BM8FzMD","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","old_string":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","new_string":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":350,"cache_read_input_tokens":81781,"output_tokens":281,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":350},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19tcxctRUD5B6GkqFoP","type":"assistant","uuid":"a6793013-5aa1-4d87-a824-43b6009afa64","timestamp":"2026-03-13T13:25:32.363Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"6d6d3ad3-8652-4f69-9bc0-dd5b55b31967","timestamp":"2026-03-13T13:25:32.387Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/cmd/cc-backend/server.go","oldString":"\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","newString":"\t\"github.com/99designs/gqlgen/graphql\"\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// Package main provides the entry point for the ClusterCockpit backend server.\n// This file contains HTTP server setup, routing configuration, and\n// authentication middleware integration.\npackage main\n\nimport (\n\t\"context\"\n\t\"crypto/tls\"\n\t\"encoding/json\"\n\t\"errors\"\n\t\"fmt\"\n\t\"net\"\n\t\"net/http\"\n\t\"os\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/99designs/gqlgen/graphql/handler\"\n\t\"github.com/99designs/gqlgen/graphql/handler/transport\"\n\t\"github.com/99designs/gqlgen/graphql/playground\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/api\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/archiver\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/auth\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/routerConfig\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/metricstore\"\n\t\"github.com/ClusterCockpit/cc-backend/web\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/nats\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/runtime\"\n\t\"github.com/go-chi/chi/v5\"\n\t\"github.com/go-chi/chi/v5/middleware\"\n\t\"github.com/go-chi/cors\"\n\thttpSwagger \"github.com/swaggo/http-swagger\"\n)\n\nvar buildInfo web.Build\n\n// Environment variable names\nconst (\n\tenvDebug = \"DEBUG\"\n)\n\n// Server encapsulates the HTTP server state and dependencies\ntype Server struct {\n\trouter chi.Router\n\tserver *http.Server\n\trestAPIHandle *api.RestAPI\n\tnatsAPIHandle *api.NatsAPI\n}\n\nfunc onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {\n\trw.Header().Add(\"Content-Type\", \"application/json\")\n\trw.WriteHeader(http.StatusUnauthorized)\n\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\"status\": http.StatusText(http.StatusUnauthorized),\n\t\t\"error\": err.Error(),\n\t})\n}\n\n// NewServer creates and initializes a new Server instance\nfunc NewServer(version, commit, buildDate string) (*Server, error) {\n\tbuildInfo = web.Build{Version: version, Hash: commit, Buildtime: buildDate}\n\n\ts := &Server{\n\t\trouter: chi.NewRouter(),\n\t}\n\n\tif err := s.init(); err != nil {\n\t\treturn nil, err\n\t}\n\n\treturn s, nil\n}\n\nfunc (s *Server) init() error {\n\t// Setup the http.Handler/Router used by the server\n\tgraph.Init()\n\tresolver := graph.GetResolverInstance()\n\tgraphQLServer := handler.New(\n\t\tgenerated.NewExecutableSchema(generated.Config{Resolvers: resolver}))\n\n\tgraphQLServer.AddTransport(transport.POST{})\n\n\t// Inject a per-request stats cache so that grouped statistics queries\n\t// sharing the same (filter, groupBy) pair are executed only once.\n\tgraphQLServer.AroundOperations(func(ctx context.Context, next graphql.OperationHandler) graphql.ResponseHandler {\n\t\treturn next(graph.WithStatsGroupCache(ctx))\n\t})\n\n\tif os.Getenv(envDebug) != \"1\" {\n\t\t// Having this handler means that a error message is returned via GraphQL instead of the connection simply beeing closed.\n\t\t// The problem with this is that then, no more stacktrace is printed to stderr.\n\t\tgraphQLServer.SetRecoverFunc(func(ctx context.Context, err any) error {\n\t\t\tswitch e := err.(type) {\n\t\t\tcase string:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic: %s\", e)\n\t\t\tcase error:\n\t\t\t\treturn fmt.Errorf(\"MAIN > Panic caused by: %s\", e.Error())\n\t\t\t}\n\n\t\t\treturn errors.New(\"MAIN > Internal server error (panic)\")\n\t\t})\n\t}\n\n\tauthHandle := auth.GetAuthInstance()\n\n\t// Middleware must be defined before routes in chi\n\ts.router.Use(func(next http.Handler) http.Handler {\n\t\treturn http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tstart := time.Now()\n\t\t\tww := middleware.NewWrapResponseWriter(rw, r.ProtoMajor)\n\t\t\tnext.ServeHTTP(ww, r)\n\t\t\tcclog.Debugf(\"%s %s (%d, %.02fkb, %dms)\",\n\t\t\t\tr.Method, r.URL.RequestURI(),\n\t\t\t\tww.Status(), float32(ww.BytesWritten())/1024,\n\t\t\t\ttime.Since(start).Milliseconds())\n\t\t})\n\t})\n\ts.router.Use(middleware.Compress(5))\n\ts.router.Use(middleware.Recoverer)\n\ts.router.Use(cors.Handler(cors.Options{\n\t\tAllowCredentials: true,\n\t\tAllowedHeaders: []string{\"X-Requested-With\", \"Content-Type\", \"Authorization\", \"Origin\"},\n\t\tAllowedMethods: []string{\"GET\", \"POST\", \"HEAD\", \"OPTIONS\"},\n\t\tAllowedOrigins: []string{\"*\"},\n\t}))\n\n\ts.restAPIHandle = api.New()\n\n\tinfo := map[string]any{}\n\tinfo[\"hasOpenIDConnect\"] = false\n\n\tif auth.Keys.OpenIDConfig != nil {\n\t\topenIDConnect := auth.NewOIDC(authHandle)\n\t\topenIDConnect.RegisterEndpoints(s.router)\n\t\tinfo[\"hasOpenIDConnect\"] = true\n\t}\n\n\ts.router.Get(\"/login\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tcclog.Debugf(\"##%v##\", info)\n\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{Title: \"Login\", Build: buildInfo, Infos: info})\n\t})\n\ts.router.HandleFunc(\"/imprint\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"imprint.tmpl\", &web.Page{Title: \"Imprint\", Build: buildInfo})\n\t})\n\ts.router.HandleFunc(\"/privacy\", func(rw http.ResponseWriter, r *http.Request) {\n\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\tweb.RenderTemplate(rw, \"privacy.tmpl\", &web.Page{Title: \"Privacy\", Build: buildInfo})\n\t})\n\n\tif !config.Keys.DisableAuthentication {\n\t\t// Create login failure handler (used by both /login and /jwt-login)\n\t\tloginFailureHandler := func(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\tTitle: \"Login failed - ClusterCockpit\",\n\t\t\t\tMsgType: \"alert-warning\",\n\t\t\t\tMessage: err.Error(),\n\t\t\t\tBuild: buildInfo,\n\t\t\t\tInfos: info,\n\t\t\t})\n\t\t}\n\n\t\ts.router.Post(\"/login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\t\ts.router.HandleFunc(\"/jwt-login\", authHandle.Login(loginFailureHandler).ServeHTTP)\n\n\t\ts.router.Post(\"/logout\", authHandle.Logout(\n\t\t\thttp.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\t\trw.Header().Add(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\t\t\trw.WriteHeader(http.StatusOK)\n\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\tTitle: \"Bye - ClusterCockpit\",\n\t\t\t\t\tMsgType: \"alert-info\",\n\t\t\t\t\tMessage: \"Logout successful\",\n\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\tInfos: info,\n\t\t\t\t})\n\t\t\t})).ServeHTTP)\n\t}\n\n\tif flagDev {\n\t\ts.router.Handle(\"/playground\", playground.Handler(\"GraphQL playground\", \"/query\"))\n\t\ts.router.Get(\"/swagger/*\", httpSwagger.Handler(\n\t\t\thttpSwagger.URL(\"http://\"+config.Keys.Addr+\"/swagger/doc.json\")))\n\t}\n\n\t// Secured routes (require authentication)\n\ts.router.Group(func(secured chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tsecured.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.Auth(\n\t\t\t\t\tnext,\n\t\t\t\t\tfunc(rw http.ResponseWriter, r *http.Request, err error) {\n\t\t\t\t\t\trw.WriteHeader(http.StatusUnauthorized)\n\t\t\t\t\t\tweb.RenderTemplate(rw, \"login.tmpl\", &web.Page{\n\t\t\t\t\t\t\tTitle: \"Authentication failed - ClusterCockpit\",\n\t\t\t\t\t\t\tMsgType: \"alert-danger\",\n\t\t\t\t\t\t\tMessage: err.Error(),\n\t\t\t\t\t\t\tBuild: buildInfo,\n\t\t\t\t\t\t\tInfos: info,\n\t\t\t\t\t\t\tRedirect: r.RequestURI,\n\t\t\t\t\t\t})\n\t\t\t\t\t})\n\t\t\t})\n\t\t}\n\n\t\tsecured.Handle(\"/query\", graphQLServer)\n\n\t\tsecured.HandleFunc(\"/search\", func(rw http.ResponseWriter, r *http.Request) {\n\t\t\trouterConfig.HandleSearchBar(rw, r, buildInfo)\n\t\t})\n\n\t\trouterConfig.SetupRoutes(secured, buildInfo)\n\t})\n\n\t// API routes (JWT token auth)\n\ts.router.Route(\"/api\", func(apiRouter chi.Router) {\n\t\t// Main API routes with API auth\n\t\tapiRouter.Group(func(securedapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tsecuredapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountAPIRoutes(securedapi)\n\t\t})\n\n\t\t// Metric store API routes with separate auth\n\t\tapiRouter.Group(func(metricstoreapi chi.Router) {\n\t\t\tif !config.Keys.DisableAuthentication {\n\t\t\t\tmetricstoreapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\t\treturn authHandle.AuthMetricStoreAPI(next, onFailureResponse)\n\t\t\t\t})\n\t\t\t}\n\t\t\ts.restAPIHandle.MountMetricStoreAPIRoutes(metricstoreapi)\n\t\t})\n\t})\n\n\t// User API routes\n\ts.router.Route(\"/userapi\", func(userapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tuserapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthUserAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountUserAPIRoutes(userapi)\n\t})\n\n\t// Config API routes (uses Group with full paths to avoid shadowing\n\t// the /config page route that is registered in the secured group)\n\ts.router.Group(func(configapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tconfigapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthConfigAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountConfigAPIRoutes(configapi)\n\t})\n\n\t// Frontend API routes\n\ts.router.Route(\"/frontend\", func(frontendapi chi.Router) {\n\t\tif !config.Keys.DisableAuthentication {\n\t\t\tfrontendapi.Use(func(next http.Handler) http.Handler {\n\t\t\t\treturn authHandle.AuthFrontendAPI(next, onFailureResponse)\n\t\t\t})\n\t\t}\n\t\ts.restAPIHandle.MountFrontendAPIRoutes(frontendapi)\n\t})\n\n\tif config.Keys.APISubjects != nil {\n\t\ts.natsAPIHandle = api.NewNatsAPI()\n\t\tif err := s.natsAPIHandle.StartSubscriptions(); err != nil {\n\t\t\treturn fmt.Errorf(\"starting NATS subscriptions: %w\", err)\n\t\t}\n\t}\n\n\t// 404 handler for pages and API routes\n\tnotFoundHandler := func(rw http.ResponseWriter, r *http.Request) {\n\t\tif strings.HasPrefix(r.URL.Path, \"/api/\") || strings.HasPrefix(r.URL.Path, \"/userapi/\") ||\n\t\t\tstrings.HasPrefix(r.URL.Path, \"/frontend/\") || strings.HasPrefix(r.URL.Path, \"/config/\") {\n\t\t\trw.Header().Set(\"Content-Type\", \"application/json\")\n\t\t\trw.WriteHeader(http.StatusNotFound)\n\t\t\tjson.NewEncoder(rw).Encode(map[string]string{\n\t\t\t\t\"status\": \"Resource not found\",\n\t\t\t\t\"error\": \"the requested endpoint does not exist\",\n\t\t\t})\n\t\t\treturn\n\t\t}\n\t\trw.Header().Set(\"Content-Type\", \"text/html; charset=utf-8\")\n\t\trw.WriteHeader(http.StatusNotFound)\n\t\tweb.RenderTemplate(rw, \"404.tmpl\", &web.Page{\n\t\t\tTitle: \"Page Not Found\",\n\t\t\tBuild: buildInfo,\n\t\t})\n\t}\n\n\t// Set NotFound on the router so chi uses it for all unmatched routes,\n\t// including those under subrouters like /api, /userapi, /frontend, etc.\n\ts.router.NotFound(notFoundHandler)\n\n\tif config.Keys.EmbedStaticFiles {\n\t\tif i, err := os.Stat(\"./var/img\"); err == nil {\n\t\t\tif i.IsDir() {\n\t\t\t\tcclog.Info(\"Use local directory for static images\")\n\t\t\t\ts.router.Handle(\"/img/*\", http.StripPrefix(\"/img/\", http.FileServer(http.Dir(\"./var/img\"))))\n\t\t\t}\n\t\t}\n\t\tfileServer := http.StripPrefix(\"/\", web.ServeFiles())\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tif web.StaticFileExists(r.URL.Path) {\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t} else {\n\t\tstaticDir := http.Dir(config.Keys.StaticFiles)\n\t\tfileServer := http.FileServer(staticDir)\n\t\ts.router.Handle(\"/*\", http.HandlerFunc(func(rw http.ResponseWriter, r *http.Request) {\n\t\t\tf, err := staticDir.Open(r.URL.Path)\n\t\t\tif err == nil {\n\t\t\t\tf.Close()\n\t\t\t\tfileServer.ServeHTTP(rw, r)\n\t\t\t\treturn\n\t\t\t}\n\t\t\tnotFoundHandler(rw, r)\n\t\t}))\n\t}\n\n\treturn nil\n}\n\n// Server timeout defaults (in seconds)\nconst (\n\tdefaultReadTimeout = 20\n\tdefaultWriteTimeout = 20\n)\n\nfunc (s *Server) Start(ctx context.Context) error {\n\t// Use configurable timeouts with defaults\n\treadTimeout := time.Duration(defaultReadTimeout) * time.Second\n\twriteTimeout := time.Duration(defaultWriteTimeout) * time.Second\n\n\ts.server = &http.Server{\n\t\tReadTimeout: readTimeout,\n\t\tWriteTimeout: writeTimeout,\n\t\tHandler: s.router,\n\t\tAddr: config.Keys.Addr,\n\t}\n\n\t// Start http or https server\n\tlistener, err := net.Listen(\"tcp\", config.Keys.Addr)\n\tif err != nil {\n\t\treturn fmt.Errorf(\"starting listener on '%s': %w\", config.Keys.Addr, err)\n\t}\n\n\tif !strings.HasSuffix(config.Keys.Addr, \":80\") && config.Keys.RedirectHTTPTo != \"\" {\n\t\tgo func() {\n\t\t\thttp.ListenAndServe(\":80\", http.RedirectHandler(config.Keys.RedirectHTTPTo, http.StatusMovedPermanently))\n\t\t}()\n\t}\n\n\tif config.Keys.HTTPSCertFile != \"\" && config.Keys.HTTPSKeyFile != \"\" {\n\t\tcert, err := tls.LoadX509KeyPair(\n\t\t\tconfig.Keys.HTTPSCertFile, config.Keys.HTTPSKeyFile)\n\t\tif err != nil {\n\t\t\treturn fmt.Errorf(\"loading X509 keypair (check 'https-cert-file' and 'https-key-file' in config.json): %w\", err)\n\t\t}\n\t\tlistener = tls.NewListener(listener, &tls.Config{\n\t\t\tCertificates: []tls.Certificate{cert},\n\t\t\tCipherSuites: []uint16{\n\t\t\t\ttls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,\n\t\t\t\ttls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,\n\t\t\t},\n\t\t\tMinVersion: tls.VersionTLS12,\n\t\t\tPreferServerCipherSuites: true,\n\t\t})\n\t\tcclog.Infof(\"HTTPS server listening at %s...\", config.Keys.Addr)\n\t} else {\n\t\tcclog.Infof(\"HTTP server listening at %s...\", config.Keys.Addr)\n\t}\n\t//\n\t// Because this program will want to bind to a privileged port (like 80), the listener must\n\t// be established first, then the user can be changed, and after that,\n\t// the actual http server can be started.\n\tif err := runtime.DropPrivileges(config.Keys.Group, config.Keys.User); err != nil {\n\t\treturn fmt.Errorf(\"dropping privileges: %w\", err)\n\t}\n\n\t// Handle context cancellation for graceful shutdown\n\tgo func() {\n\t\t<-ctx.Done()\n\t\tshutdownCtx, cancel := context.WithTimeout(context.Background(), 30*time.Second)\n\t\tdefer cancel()\n\t\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t\t}\n\t}()\n\n\tif err = s.server.Serve(listener); err != nil && err != http.ErrServerClosed {\n\t\treturn fmt.Errorf(\"server failed: %w\", err)\n\t}\n\treturn nil\n}\n\nfunc (s *Server) Shutdown(ctx context.Context) {\n\t// Create a shutdown context with timeout\n\tshutdownCtx, cancel := context.WithTimeout(ctx, 30*time.Second)\n\tdefer cancel()\n\n\tnc := nats.GetClient()\n\tif nc != nil {\n\t\tnc.Close()\n\t}\n\n\t// First shut down the server gracefully (waiting for all ongoing requests)\n\tif err := s.server.Shutdown(shutdownCtx); err != nil {\n\t\tcclog.Errorf(\"Server shutdown error: %v\", err)\n\t}\n\n\t// Archive all the metric store data\n\tms := metricstore.GetMemoryStore()\n\n\tif ms != nil {\n\t\tmetricstore.Shutdown()\n\t}\n\n\t// Shutdown archiver with 10 second timeout for fast shutdown\n\tif err := archiver.Shutdown(10 * time.Second); err != nil {\n\t\tcclog.Warnf(\"Archiver shutdown: %v\", err)\n\t}\n}\n","structuredPatch":[{"oldStart":20,"oldLines":6,"newStart":20,"newLines":7,"lines":[" \"strings\""," \"time\""," ","+ \"github.com/99designs/gqlgen/graphql\""," 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continued):"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"cache_creation":{"ephemeral_5m_input_tokens":437,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"49f112dc-32cc-47cb-af63-4592d0b45fff","timestamp":"2026-03-13T13:25:35.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":437,"cache_read_input_tokens":82131,"output_tokens":576,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":437},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19uxKyWUqLJaysP3jyx","type":"assistant","uuid":"eac31e9f-039b-463c-bc87-91c1da020980","timestamp":"2026-03-13T13:25:41.577Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"868f10fc-48dc-488e-9133-b1d838599dee","timestamp":"2026-03-13T13:25:41.604Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","newString":"\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\t// Use request-scoped cache: multiple aliases with same (filter, groupBy)\n\t\t\t// but different sortBy/page hit the DB only once.\n\t\t\tif cache := getStatsGroupCache(ctx); cache != nil {\n\t\t\t\tkey := statsCacheKey(filter, groupBy)\n\t\t\t\tvar allStats []*model.JobsStatistics\n\t\t\t\tallStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {\n\t\t\t\t\treturn r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)\n\t\t\t\t})\n\t\t\t\tif err == nil {\n\t\t\t\t\tstats = sortAndPageStats(allStats, sortBy, page)\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\t}\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\t// Build requested fields map for selective column computation\n\tstatsFields := []string{\n\t\t\"totalJobs\", \"totalUsers\", \"totalWalltime\", \"totalNodes\", \"totalCores\",\n\t\t\"totalAccs\", \"totalNodeHours\", \"totalCoreHours\", \"totalAccHours\", \"runningJobs\", \"shortJobs\",\n\t}\n\treqFields := make(map[string]bool, len(statsFields))\n\tfetchedMainStats := false\n\tfor _, f := range statsFields {\n\t\tif requireField(ctx, f) {\n\t\t\treqFields[f] = true\n\t\t\tif f != \"runningJobs\" && f != \"shortJobs\" {\n\t\t\t\tfetchedMainStats = true\n\t\t\t}\n\t\t}\n\t}\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter, reqFields)\n\t\t} else {\n\t\t\tstartGrouped := time.Now()\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)\n\t\t\tcclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype (\n\tclusterResolver struct{ *Resolver }\n\tjobResolver struct{ *Resolver }\n\tmetricValueResolver struct{ *Resolver }\n\tmutationResolver struct{ *Resolver }\n\tnodeResolver struct{ *Resolver }\n\tqueryResolver struct{ *Resolver }\n\tsubClusterResolver struct{ *Resolver }\n)\n","structuredPatch":[{"oldStart":673,"oldLines":7,"newStart":673,"newLines":20,"lines":[" stats, err = r.Repo.JobsStats(ctx, filter, reqFields)"," } else {"," startGrouped := time.Now()","- stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ // Use request-scoped cache: multiple aliases with same (filter, groupBy)","+ // but different sortBy/page hit the DB only once.","+ if cache := getStatsGroupCache(ctx); cache != nil {","+ key := statsCacheKey(filter, groupBy)","+ var allStats []*model.JobsStatistics","+ allStats, err = cache.getOrCompute(key, func() ([]*model.JobsStatistics, error) {","+ return r.Repo.JobsStatsGrouped(ctx, filter, nil, nil, groupBy, nil)","+ })","+ if err == nil {","+ stats = sortAndPageStats(allStats, sortBy, page)","+ }","+ } else {","+ stats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy, reqFields)","+ }"," cclog.Infof(\"Timer JobsStatsGrouped call: %s\", time.Since(startGrouped))"," }"," } else {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"eac31e9f-039b-463c-bc87-91c1da020980","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"868f10fc-48dc-488e-9133-b1d838599dee","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WD557D88SP67vegFoJ5jCV","type":"message","role":"assistant","content":[{"type":"text","text":"Now I need to add the `sortAndPageStats` helper function. Let me add it to `stats_cache.go`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"cache_creation":{"ephemeral_5m_input_tokens":622,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","timestamp":"2026-03-13T13:25:44.663Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d6b37f45-c7ba-4a42-a354-f2c9c55ae0dc","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WD557D88SP67vegFoJ5jCV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":622,"cache_read_input_tokens":82568,"output_tokens":107,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":622},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vdia6HmiHSu69MCC9","type":"assistant","uuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","timestamp":"2026-03-13T13:25:44.761Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","toolUseID":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","timestamp":"2026-03-13T13:25:44.779Z","uuid":"6e102bc2-3188-4ad4-a6af-1a0a4ffd0e72","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QUwJ9fpKYTE34wCE1Lt4Cg","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package graph\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"fmt\"\n 11→\t\"sync\"\n 12→\n 13→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 14→)\n 15→\n 16→// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n 17→// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n 18→// frontend requests multiple sort/page slices of the same underlying data\n 19→// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\n 20→type statsGroupCache struct {\n 21→\tmu sync.Mutex\n 22→\tentries map[string]*cacheEntry\n 23→}\n 24→\n 25→type cacheEntry struct {\n 26→\tonce sync.Once\n 27→\tresult []*model.JobsStatistics\n 28→\terr error\n 29→}\n 30→\n 31→type ctxKey int\n 32→\n 33→const statsGroupCacheKey ctxKey = iota\n 34→\n 35→// newStatsGroupCache creates a new empty cache.\n 36→func newStatsGroupCache() *statsGroupCache {\n 37→\treturn &statsGroupCache{\n 38→\t\tentries: make(map[string]*cacheEntry),\n 39→\t}\n 40→}\n 41→\n 42→// WithStatsGroupCache injects a new cache into the context.\n 43→func WithStatsGroupCache(ctx context.Context) context.Context {\n 44→\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n 45→}\n 46→\n 47→// getStatsGroupCache retrieves the cache from context, or nil if absent.\n 48→func getStatsGroupCache(ctx context.Context) *statsGroupCache {\n 49→\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n 50→\t\treturn c\n 51→\t}\n 52→\treturn nil\n 53→}\n 54→\n 55→// cacheKey builds a deterministic string key from filter + groupBy.\n 56→func statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n 57→\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n 58→}\n 59→\n 60→// getOrCompute returns cached results for the given key, computing them on\n 61→// first access via the provided function.\n 62→func (c *statsGroupCache) getOrCompute(\n 63→\tkey string,\n 64→\tcompute func() ([]*model.JobsStatistics, error),\n 65→) ([]*model.JobsStatistics, error) {\n 66→\tc.mu.Lock()\n 67→\tentry, ok := c.entries[key]\n 68→\tif !ok {\n 69→\t\tentry = &cacheEntry{}\n 70→\t\tc.entries[key] = entry\n 71→\t}\n 72→\tc.mu.Unlock()\n 73→\n 74→\tentry.once.Do(func() {\n 75→\t\tentry.result, entry.err = compute()\n 76→\t})\n 77→\treturn entry.result, entry.err\n 78→}\n 79→"}]},"uuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","timestamp":"2026-03-13T13:25:44.779Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","numLines":79,"startLine":1,"totalLines":79}},"sourceToolAssistantUUID":"b54d60aa-bd7f-4739-82c9-1e8d40c9d726","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2a42853d-2db7-46b7-9aef-ffa9af84f034","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01PnHsnU6gt2LhjfXhTEZjDR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","new_string":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1741,"cache_read_input_tokens":82568,"output_tokens":222,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1741},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19vsJ8tk4gF7rPLFDyq","type":"assistant","uuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","timestamp":"2026-03-13T13:25:49.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","toolUseID":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","timestamp":"2026-03-13T13:25:49.256Z","uuid":"b6bc947a-7db4-4b1b-afd4-da33f15aa784","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013toWZ6WkCsL4eQ5sKan4Ji","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","timestamp":"2026-03-13T13:25:49.256Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","newString":"import (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":8,"oldLines":6,"newStart":8,"newLines":7,"lines":[" import ("," \"context\""," \"fmt\"","+ \"slices\""," \"sync\""," "," \"github.com/ClusterCockpit/cc-backend/internal/graph/model\""]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0b9df822-27a7-4a89-8b3a-7d2090e64fc7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"3df9fb40-d43e-441b-a54d-327d01d7d5ca","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01QAa4fwohhpymL9HqVikZH5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","old_string":"\treturn entry.result, entry.err\n}","new_string":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":267,"cache_read_input_tokens":84309,"output_tokens":918,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":267},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19wCRKxfGtevGTc85v1","type":"assistant","uuid":"edf51814-e2de-4d4f-9baa-2741808df2db","timestamp":"2026-03-13T13:26:01.047Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","toolUseID":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","timestamp":"2026-03-13T13:26:01.069Z","uuid":"d9abe7ec-fb44-449a-9f18-f86e4c55ff14","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"edf51814-e2de-4d4f-9baa-2741808df2db","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y8crQvfpZ2nJrQyvZ5LPN9","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go has been updated successfully."}]},"uuid":"d11ac660-7a96-420c-8886-d5b6cc230188","timestamp":"2026-03-13T13:26:01.068Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/stats_cache.go","oldString":"\treturn entry.result, entry.err\n}","newString":"\treturn entry.result, entry.err\n}\n\n// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)\n// and returns the requested page slice.\nfunc sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {\n\t// Work on a shallow copy so the cached slice order is not mutated.\n\tsorted := make([]*model.JobsStatistics, len(allStats))\n\tcopy(sorted, allStats)\n\n\tif sortBy != nil {\n\t\tgetter := statsFieldGetter(*sortBy)\n\t\tslices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {\n\t\t\treturn getter(b) - getter(a) // descending\n\t\t})\n\t}\n\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tstart := (page.Page - 1) * page.ItemsPerPage\n\t\tif start >= len(sorted) {\n\t\t\treturn nil\n\t\t}\n\t\tend := start + page.ItemsPerPage\n\t\tif end > len(sorted) {\n\t\t\tend = len(sorted)\n\t\t}\n\t\tsorted = sorted[start:end]\n\t}\n\n\treturn sorted\n}\n\n// statsFieldGetter returns a function that extracts the sortable int field\n// from a JobsStatistics struct for the given sort key.\nfunc statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {\n\tswitch sortBy {\n\tcase model.SortByAggregateTotaljobs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\tcase model.SortByAggregateTotalusers:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalUsers }\n\tcase model.SortByAggregateTotalwalltime:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalWalltime }\n\tcase model.SortByAggregateTotalnodes:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodes }\n\tcase model.SortByAggregateTotalnodehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalNodeHours }\n\tcase model.SortByAggregateTotalcores:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCores }\n\tcase model.SortByAggregateTotalcorehours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalCoreHours }\n\tcase model.SortByAggregateTotalaccs:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccs }\n\tcase model.SortByAggregateTotalacchours:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalAccHours }\n\tdefault:\n\t\treturn func(s *model.JobsStatistics) int { return s.TotalJobs }\n\t}\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage graph\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"slices\"\n\t\"sync\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\n// statsGroupCache is a per-request cache for grouped JobsStatistics results.\n// It deduplicates identical (filter+groupBy) SQL queries that arise when the\n// frontend requests multiple sort/page slices of the same underlying data\n// (e.g. topUserJobs, topUserNodes, topUserAccs all group by USER).\ntype statsGroupCache struct {\n\tmu sync.Mutex\n\tentries map[string]*cacheEntry\n}\n\ntype cacheEntry struct {\n\tonce sync.Once\n\tresult []*model.JobsStatistics\n\terr error\n}\n\ntype ctxKey int\n\nconst statsGroupCacheKey ctxKey = iota\n\n// newStatsGroupCache creates a new empty cache.\nfunc newStatsGroupCache() *statsGroupCache {\n\treturn &statsGroupCache{\n\t\tentries: make(map[string]*cacheEntry),\n\t}\n}\n\n// WithStatsGroupCache injects a new cache into the context.\nfunc WithStatsGroupCache(ctx context.Context) context.Context {\n\treturn context.WithValue(ctx, statsGroupCacheKey, newStatsGroupCache())\n}\n\n// getStatsGroupCache retrieves the cache from context, or nil if absent.\nfunc getStatsGroupCache(ctx context.Context) *statsGroupCache {\n\tif c, ok := ctx.Value(statsGroupCacheKey).(*statsGroupCache); ok {\n\t\treturn c\n\t}\n\treturn nil\n}\n\n// cacheKey builds a deterministic string key from filter + groupBy.\nfunc statsCacheKey(filter []*model.JobFilter, groupBy *model.Aggregate) string {\n\treturn fmt.Sprintf(\"%v|%v\", filter, *groupBy)\n}\n\n// getOrCompute returns cached results for the given key, computing them on\n// first access via the provided function.\nfunc (c *statsGroupCache) getOrCompute(\n\tkey string,\n\tcompute func() ([]*model.JobsStatistics, error),\n) ([]*model.JobsStatistics, error) {\n\tc.mu.Lock()\n\tentry, ok := c.entries[key]\n\tif !ok {\n\t\tentry = &cacheEntry{}\n\t\tc.entries[key] = entry\n\t}\n\tc.mu.Unlock()\n\n\tentry.once.Do(func() {\n\t\tentry.result, entry.err = compute()\n\t})\n\treturn entry.result, entry.err\n}\n","structuredPatch":[{"oldStart":77,"oldLines":3,"newStart":77,"newLines":59,"lines":[" })"," return entry.result, entry.err"," }","+","+// sortAndPageStats sorts a copy of allStats by the given sortBy field (descending)","+// and returns the requested page slice.","+func sortAndPageStats(allStats []*model.JobsStatistics, sortBy *model.SortByAggregate, page *model.PageRequest) []*model.JobsStatistics {","+ // Work on a shallow copy so the cached slice order is not mutated.","+ sorted := make([]*model.JobsStatistics, len(allStats))","+ copy(sorted, allStats)","+","+ if sortBy != nil {","+ getter := statsFieldGetter(*sortBy)","+ slices.SortFunc(sorted, func(a, b *model.JobsStatistics) int {","+ return getter(b) - getter(a) // descending","+ })","+ }","+","+ if page != nil && page.ItemsPerPage != -1 {","+ start := (page.Page - 1) * page.ItemsPerPage","+ if start >= len(sorted) {","+ return nil","+ }","+ end := start + page.ItemsPerPage","+ if end > len(sorted) {","+ end = len(sorted)","+ }","+ sorted = sorted[start:end]","+ }","+","+ return sorted","+}","+","+// statsFieldGetter returns a function that extracts the sortable int field","+// from a JobsStatistics struct for the given sort key.","+func statsFieldGetter(sortBy model.SortByAggregate) func(*model.JobsStatistics) int {","+ switch sortBy {","+ case model.SortByAggregateTotaljobs:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ case model.SortByAggregateTotalusers:","+ return func(s *model.JobsStatistics) int { return s.TotalUsers }","+ case model.SortByAggregateTotalwalltime:","+ return func(s *model.JobsStatistics) int { return s.TotalWalltime }","+ case model.SortByAggregateTotalnodes:","+ return func(s *model.JobsStatistics) int { return s.TotalNodes }","+ case model.SortByAggregateTotalnodehours:","+ return func(s *model.JobsStatistics) int { return s.TotalNodeHours }","+ case model.SortByAggregateTotalcores:","+ return func(s *model.JobsStatistics) int { return s.TotalCores }","+ case model.SortByAggregateTotalcorehours:","+ return func(s *model.JobsStatistics) int { return s.TotalCoreHours }","+ case model.SortByAggregateTotalaccs:","+ return func(s *model.JobsStatistics) int { return s.TotalAccs }","+ case model.SortByAggregateTotalacchours:","+ return func(s *model.JobsStatistics) int { return s.TotalAccHours }","+ default:","+ return func(s *model.JobsStatistics) int { return s.TotalJobs }","+ }","+}"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"edf51814-e2de-4d4f-9baa-2741808df2db","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d11ac660-7a96-420c-8886-d5b6cc230188","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"text","text":"The `slices` import: I'm using `slices.SortFunc` so it should be used. Let me check the Go version:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"cache_creation":{"ephemeral_5m_input_tokens":1033,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","timestamp":"2026-03-13T13:26:04.185Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"581a1b83-1054-4e6f-9183-7042df0a5d5c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01NLCdYJwwkVDxX1H5LKY4kq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","name":"Bash","input":{"command":"head -5 /Users/jan/prg/ClusterCockpit/cc-backend/go.mod","description":"Check Go version"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1033,"cache_read_input_tokens":84576,"output_tokens":127,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1033},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19x5CHG7jrP7jojRgxg","type":"assistant","uuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","timestamp":"2026-03-13T13:26:04.767Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CtJHadHZrKMTKNrRPwmvQe","type":"tool_result","content":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","is_error":false}]},"uuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","timestamp":"2026-03-13T13:26:04.820Z","toolUseResult":{"stdout":"module github.com/ClusterCockpit/cc-backend\n\ngo 1.25.0\n\ntool (","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"5c01da7e-23a7-4646-b6bd-fe07c5f354e0","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1afcd351-1304-42de-a50c-2f7f6b3aca8b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"text","text":"Go 1.25 should have `slices` in stdlib. The diagnostic might be stale. Let me verify the build compiles. But first let me do **Change 3: Parallelize histogram queries**."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","timestamp":"2026-03-13T13:26:08.786Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a0e65154-c7c8-45d8-8963-75c4f08c116a","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01HDHc7VBGMXFPoRqByAWShB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015ABCLJxD54VJdQ4434Xb1T","name":"Bash","input":{"command":"grep 'golang.org/x/sync' go.mod","description":"Check if x/sync is a dependency"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":229,"cache_read_input_tokens":85609,"output_tokens":155,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":229},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19xLyJWgjbjAw7uhUFh","type":"assistant","uuid":"753a9235-bde6-405f-b6f4-72e439b7159b","timestamp":"2026-03-13T13:26:09.488Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"753a9235-bde6-405f-b6f4-72e439b7159b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ABCLJxD54VJdQ4434Xb1T","type":"tool_result","content":"\tgolang.org/x/sync v0.19.0 // indirect","is_error":false}]},"uuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","timestamp":"2026-03-13T13:26:09.534Z","toolUseResult":{"stdout":"\tgolang.org/x/sync v0.19.0 // indirect","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"753a9235-bde6-405f-b6f4-72e439b7159b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"efe5c323-499c-4de2-8de9-e4f2dc6fc53b","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01SxgSrbZviAMYahS9ihhLra","type":"message","role":"assistant","content":[{"type":"text","text":"Good, `errgroup` is available. Now parallelize the histogram queries in `AddHistograms`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":274,"cache_read_input_tokens":85838,"cache_creation":{"ephemeral_5m_input_tokens":274,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19xhAVSmTVBLFWNDEDi","type":"assistant","uuid":"8002f7f9-74b5-44f4-ad05-82b438d15718","timestamp":"2026-03-13T13:26:12.772Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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successfully."}]},"uuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","timestamp":"2026-03-13T13:26:16.260Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"","newString":"\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":55,"oldLines":6,"newStart":55,"newLines":7,"lines":[" cclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\""," \"github.com/ClusterCockpit/cc-lib/v2/schema\""," sq \"github.com/Masterminds/squirrel\"","+ \"golang.org/x/sync/errgroup\""," )"," "," // groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names."]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"0e037919-ff3a-40ad-92a5-ae71452dc934","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"18180edc-dbac-4031-afea-d6b8212ff2ed","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"text","text":"Now replace the sequential histogram calls with parallel ones:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"cache_creation":{"ephemeral_5m_input_tokens":518,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"220a991e-e26f-4040-9ea2-9834aa852105","timestamp":"2026-03-13T13:26:19.141Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"220a991e-e26f-4040-9ea2-9834aa852105","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01AKWtDviLW2M9zkNF5BKY1r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BBxZWSii8bhD1q6UKReDX2","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","new_string":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":518,"cache_read_input_tokens":86112,"output_tokens":1008,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":518},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19yBxrUUdRvoX6L1dNE","type":"assistant","uuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","timestamp":"2026-03-13T13:26:35.219Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","toolUseID":"toolu_01BBxZWSii8bhD1q6UKReDX2","timestamp":"2026-03-13T13:26:35.248Z","uuid":"8e20f7f2-24f9-4d71-b275-79561ea268d7","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6f3e3876-3c98-41b5-b64a-64c6d537e940","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BBxZWSii8bhD1q6UKReDX2","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"61223990-72cc-412c-a85d-bb62dd9936f9","timestamp":"2026-03-13T13:26:35.248Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}","newString":"\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n\tg, gctx := errgroup.WithContext(ctx)\n\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\t}\n\t\treturn err\n\t})\n\tg.Go(func() error {\n\t\tvar err error\n\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\t}\n\t\treturn err\n\t})\n\n\tif err := g.Wait(); err != nil {\n\t\treturn nil, err\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n\t\"golang.org/x/sync/errgroup\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n// Only requested columns are computed; unrequested columns select 0 as placeholder.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n// - reqFields: Set of requested field names; nil means compute all fields\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n\treqFields map[string]bool,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\n\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n\tneed := func(field string) bool {\n\t\treturn reqFields == nil || reqFields[field]\n\t}\n\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n\n\t// Build column list\n\tcolumns := make([]string, 0, 14)\n\n\tif col != \"\" {\n\t\tcolumns = append(columns, col)\n\t}\n\n\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n\n\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n\t} else {\n\t\tcolumns = append(columns, \"0 AS totalUsers\")\n\t}\n\n\tif need(\"totalWalltime\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalWalltime\")\n\t}\n\n\tif need(\"totalNodes\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodes\")\n\t}\n\n\tif need(\"totalNodeHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n\t}\n\n\tif need(\"totalCores\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCores\")\n\t}\n\n\tif need(\"totalCoreHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n\t}\n\n\tif need(\"totalAccs\") {\n\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccs\")\n\t}\n\n\tif need(\"totalAccHours\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n\t} else {\n\t\tcolumns = append(columns, \"0 as totalAccHours\")\n\t}\n\n\tif need(\"runningJobs\") {\n\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n\t} else {\n\t\tcolumns = append(columns, \"0 as runningJobs\")\n\t}\n\n\tif need(\"shortJobs\") {\n\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n\t} else {\n\t\tcolumns = append(columns, \"0 as shortJobs\")\n\t}\n\n\tquery := sq.Select(columns...).From(\"job\")\n\tif col != \"\" {\n\t\tquery = query.GroupBy(col)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\t\tTotalNodes: int(nodes.Int64),\n\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n\t\t\t\t\tTotalCores: int(cores.Int64),\n\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n\t\t\t\t\tTotalAccs: int(accs.Int64),\n\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n\tif col == \"job.hpc_user\" && len(stats) > 0 {\n\t\tusernames := make([]any, len(stats))\n\t\tfor i, s := range stats {\n\t\t\tusernames[i] = s.ID\n\t\t}\n\n\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n\t\t\t// Non-fatal: stats are still valid without display names\n\t\t} else {\n\t\t\tdefer nameRows.Close()\n\t\t\tnameMap := make(map[string]string, len(stats))\n\t\t\tfor nameRows.Next() {\n\t\t\t\tvar username, name string\n\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n\t\t\t\t\tnameMap[username] = name\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor _, s := range stats {\n\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n\t\t\t\t\ts.Name = name\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\treqFields map[string]bool,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":641,"oldLines":33,"newStart":641,"newLines":48,"lines":[" targetBinSize = 3600"," }"," ","- var err error","- // Return X-Values always as seconds, will be formatted into minutes and hours in frontend","+ // Run all 4 histogram queries in parallel — each writes a distinct struct field.","+ g, gctx := errgroup.WithContext(ctx)","+"," value := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)","- stat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: job duration\")","- return nil, err","- }"," ","- stat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","- return nil, err","- }","+ g.Go(func() error {","+ var err error","+ stat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: job duration\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num nodes\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ }","+ return err","+ })","+ g.Go(func() error {","+ var err error","+ stat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)","+ if err != nil {","+ cclog.Warn(\"Error while loading job statistics histogram: num acc\")","+ }","+ return err","+ })"," ","- stat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")","+ if err := g.Wait(); err != nil {"," return nil, err"," }"," ","- stat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)","- if err != nil {","- cclog.Warn(\"Error while loading job statistics histogram: num acc\")","- return nil, err","- }","-"," cclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))"," return stat, nil"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"6f3e3876-3c98-41b5-b64a-64c6d537e940","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"61223990-72cc-412c-a85d-bb62dd9936f9","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"text","text":"The LSP says errgroup is unused but it should be used by the code I just added. Let me run `go mod tidy` and verify compilation:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"cache_creation":{"ephemeral_5m_input_tokens":1162,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","timestamp":"2026-03-13T13:26:39.269Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"4d84dd1b-9ff6-42a9-9c2b-a2453ff49e72","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_017163t2tE4E7gxDMFD9oMLg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","name":"Bash","input":{"command":"go mod tidy 2>&1","description":"Tidy go modules"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1162,"cache_read_input_tokens":86630,"output_tokens":133,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":1162},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zbXiRYsQfm1yc8txp","type":"assistant","uuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","timestamp":"2026-03-13T13:26:39.718Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rw7skoVoDUZGtMQMNpMT2w","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"uuid":"48f1c453-5abc-404d-a54a-10c240c7de17","timestamp":"2026-03-13T13:26:39.975Z","toolUseResult":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"6a8b9cf3-a221-4cf5-b01c-71e62675622d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"48f1c453-5abc-404d-a54a-10c240c7de17","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"text","text":"**Change 4: Frontend consolidated query**\n\nNow update the UsageDash.svelte to use 2 aliases instead of 6:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"cache_creation":{"ephemeral_5m_input_tokens":132,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","timestamp":"2026-03-13T13:26:43.648Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ca0e02b0-1771-4fd7-9271-cca56552cd1d","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01Q2Y5cQd61W7EwmSMHAmsoD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","new_string":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":132,"cache_read_input_tokens":87792,"output_tokens":1197,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":132},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ19zwH7SVwnw9hgta1pN","type":"assistant","uuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","timestamp":"2026-03-13T13:26:55.968Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"a36a94c9-929c-424a-b35a-b5d956132a5b","snapshot":{"messageId":"0dd2f17c-9b90-4281-95e5-a244d3659bb9","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:36.210Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:24:37.402Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v1","version":1,"backupTime":"2026-03-13T13:24:44.807Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v1","version":1,"backupTime":"2026-03-13T13:24:51.178Z"},"internal/graph/stats_cache.go":{"backupFileName":null,"version":1,"backupTime":"2026-03-13T13:25:03.452Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v1","version":1,"backupTime":"2026-03-13T13:25:09.393Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-13T13:25:41.602Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-13T13:26:16.258Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v1","version":1,"backupTime":"2026-03-13T13:26:55.999Z"}},"timestamp":"2026-03-13T13:23:59.403Z"},"isSnapshotUpdate":true} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","toolUseID":"toolu_01CwcFBCq4WgLeXJHwPGskj3","timestamp":"2026-03-13T13:26:56.002Z","uuid":"6c61ab56-2675-4f57-8ed3-df99e5e9ebdb","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a36a94c9-929c-424a-b35a-b5d956132a5b","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CwcFBCq4WgLeXJHwPGskj3","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated successfully."}]},"uuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","timestamp":"2026-03-13T13:26:56.002Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!, $paging: PageRequest!) {\n topUserJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: USER\n ) {\n id\n name\n totalJobs\n }\n topProjectJobs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALJOBS\n groupBy: PROJECT\n ) {\n id\n totalJobs\n }\n topUserNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: USER\n ) {\n id\n name\n totalNodes\n }\n topProjectNodes: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALNODES\n groupBy: PROJECT\n ) {\n id\n totalNodes\n }\n topUserAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: USER\n ) {\n id\n name\n totalAccs\n }\n topProjectAccs: jobsStatistics(\n filter: $filter\n page: $paging\n sortBy: TOTALACCS\n groupBy: PROJECT\n ) {\n id\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n paging: pagingState, // Top 10\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );","newString":" const topStatsQuery = $derived(\n loadMe\n ? queryStore({\n client: client,\n query: gql`\n query ($filter: [JobFilter!]!) {\n allUsers: jobsStatistics(\n filter: $filter\n groupBy: USER\n ) {\n id\n name\n totalJobs\n totalNodes\n totalAccs\n }\n allProjects: jobsStatistics(\n filter: $filter\n groupBy: PROJECT\n ) {\n id\n totalJobs\n totalNodes\n totalAccs\n }\n }\n `,\n variables: {\n filter: statusFilter,\n },\n requestPolicy: \"network-only\",\n })\n : null,\n );\n\n // Sort + slice top-10 from the full results in the frontend\n const topUserJobs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topProjectJobs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalJobs - a.totalJobs)\n .slice(0, 10) ?? [],\n );\n const topUserNodes = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topProjectNodes = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalNodes - a.totalNodes)\n .slice(0, 10) ?? [],\n );\n const topUserAccs = $derived(\n $topStatsQuery?.data?.allUsers\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );\n const topProjectAccs = $derived(\n $topStatsQuery?.data?.allProjects\n ?.toSorted((a, b) => b.totalAccs - a.totalAccs)\n .slice(0, 10) ?? [],\n );","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":71,"oldLines":75,"newStart":71,"newLines":68,"lines":[" ? queryStore({"," client: client,"," query: gql`","- query ($filter: [JobFilter!]!, $paging: PageRequest!) {","- topUserJobs: jobsStatistics(","+ query ($filter: [JobFilter!]!) {","+ allUsers: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: USER"," ) {"," id"," name"," totalJobs","+ totalNodes","+ totalAccs"," }","- topProjectJobs: jobsStatistics(","+ allProjects: jobsStatistics("," filter: $filter","- page: $paging","- sortBy: TOTALJOBS"," groupBy: PROJECT"," ) {"," id"," totalJobs","- }","- topUserNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: USER","- ) {","- id","- name"," totalNodes","- }","- topProjectNodes: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALNODES","- groupBy: PROJECT","- ) {","- id","- totalNodes","- }","- topUserAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: USER","- ) {","- id","- name"," totalAccs"," }","- topProjectAccs: jobsStatistics(","- filter: $filter","- page: $paging","- sortBy: TOTALACCS","- groupBy: PROJECT","- ) {","- id","- totalAccs","- }"," }"," `,"," variables: {"," filter: statusFilter,","- paging: pagingState, // Top 10"," },"," requestPolicy: \"network-only\","," })"," : null,"," );"," ","+ // Sort + slice top-10 from the full results in the frontend","+ const topUserJobs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectJobs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalJobs - a.totalJobs)","+ .slice(0, 10) ?? [],","+ );","+ const topUserNodes = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectNodes = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalNodes - a.totalNodes)","+ .slice(0, 10) ?? [],","+ );","+ const topUserAccs = $derived(","+ $topStatsQuery?.data?.allUsers","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+ const topProjectAccs = $derived(","+ $topStatsQuery?.data?.allProjects","+ ?.toSorted((a, b) => b.totalAccs - a.totalAccs)","+ .slice(0, 10) ?? [],","+ );","+"," // Note: nodeMetrics are requested on configured $timestep resolution"," const nodeStatusQuery = $derived("," loadMe"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"a36a94c9-929c-424a-b35a-b5d956132a5b","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a02e96ec-1ecc-473d-9605-dddd28731c35","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"text","text":"Now update all template references from `$topStatsQuery.data.topUserJobs` to `topUserJobs`, etc.:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","timestamp":"2026-03-13T13:26:59.034Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"08ff14dd-c478-4566-be11-19e1b6a9aa2f","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01WH4iM1EzgCXabo7xs6jddi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TxQQJm7gJidvyrWhuADT82","name":"Edit","input":{"replace_all":true,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","old_string":"$topStatsQuery.data.topUserJobs","new_string":"topUserJobs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1252,"cache_read_input_tokens":87924,"cache_creation":{"ephemeral_5m_input_tokens":1252,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1A27ouBKHhKayLKEdw6","type":"assistant","uuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","timestamp":"2026-03-13T13:27:00.055Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","toolUseID":"toolu_01TxQQJm7gJidvyrWhuADT82","timestamp":"2026-03-13T13:27:00.076Z","uuid":"4f47b0b4-6795-4f14-9c3c-e589f9243cb5","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ecfb8b92-d249-49e6-a2a2-7f6066ac1a57","isSidechain":false,"promptId":"233387dd-7682-406a-99fd-8b8064a24928","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TxQQJm7gJidvyrWhuADT82","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte has been updated. All occurrences of '$topStatsQuery.data.topUserJobs' were successfully replaced with 'topUserJobs'."}]},"uuid":"37f50ab8-2134-46b5-af9a-4846b80c1385","timestamp":"2026-03-13T13:27:00.076Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/web/frontend/src/status/dashdetails/UsageDash.svelte","oldString":"$topStatsQuery.data.topUserJobs","newString":"topUserJobs","originalFile":"\n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":248,"oldLines":10,"newStart":248,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-users\""," size={colWidthJobs * 0.75}"," sliceLabel=\"Jobs\"","- quantities={$topStatsQuery.data.topUserJobs.map(","+ quantities={topUserJobs.map("," (tu) => tu[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topUserJobs.map((tu) =>","+ entities={topUserJobs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":264,"oldLines":7,"newStart":264,"newLines":7,"lines":[" User"," Jobs"," ","- {#each $topStatsQuery.data.topUserJobs as tu, i}","+ {#each topUserJobs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={$topStatsQuery.data.topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":298,"oldLines":10,"newStart":298,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-jobs-projects\""," size={colWidthJobs * 0.75}"," sliceLabel={\"Jobs\"}","- quantities={$topStatsQuery.data.topProjectJobs.map(","+ quantities={topProjectJobs.map("," (tp) => tp[\"totalJobs\"],"," )}","- entities={$topStatsQuery.data.topProjectJobs.map((tp) =>","+ entities={topProjectJobs.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":313,"oldLines":7,"newStart":313,"newLines":7,"lines":[" Project"," Jobs"," ","- {#each $topStatsQuery.data.topProjectJobs as tp, i}","+ {#each topProjectJobs as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":368,"oldLines":10,"newStart":368,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-users\""," size={colWidthNodes * 0.75}"," sliceLabel=\"Nodes\"","- quantities={$topStatsQuery.data.topUserNodes.map(","+ quantities={topUserNodes.map("," (tu) => tu[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topUserNodes.map((tu) =>","+ entities={topUserNodes.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":384,"oldLines":7,"newStart":384,"newLines":7,"lines":[" User"," Nodes"," ","- {#each $topStatsQuery.data.topUserNodes as tu, i}","+ {#each topUserNodes as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={$topStatsQuery.data.topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":418,"oldLines":10,"newStart":418,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-nodes-projects\""," size={colWidthNodes * 0.75}"," sliceLabel={\"Nodes\"}","- quantities={$topStatsQuery.data.topProjectNodes.map(","+ quantities={topProjectNodes.map("," (tp) => tp[\"totalNodes\"],"," )}","- entities={$topStatsQuery.data.topProjectNodes.map((tp) =>","+ entities={topProjectNodes.map((tp) =>"," scrambleNames ? scramble(tp.id) : tp.id,"," )}"," />"]},{"oldStart":433,"oldLines":7,"newStart":433,"newLines":7,"lines":[" Project"," Nodes"," ","- {#each $topStatsQuery.data.topProjectNodes as tp, i}","+ {#each topProjectNodes as tp, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
\n \n \n{:else}\n Cannot render accelerator status charts: No data!\n{/if}\n","structuredPatch":[{"oldStart":488,"oldLines":10,"newStart":488,"newLines":10,"lines":[" canvasId=\"{canvasPrefix}-hpcpie-accs-users\""," size={colWidthAccs * 0.75}"," sliceLabel=\"GPUs\"","- quantities={$topStatsQuery.data.topUserAccs.map(","+ quantities={topUserAccs.map("," (tu) => tu[\"totalAccs\"],"," )}","- entities={$topStatsQuery.data.topUserAccs.map((tu) =>","+ entities={topUserAccs.map((tu) =>"," scrambleNames ? scramble(tu.id) : tu.id,"," )}"," />"]},{"oldStart":504,"oldLines":7,"newStart":504,"newLines":7,"lines":[" User"," GPUs"," ","- {#each $topStatsQuery.data.topUserAccs as tu, i}","+ {#each topUserAccs as tu, i}"," "," \n\n\n\n\n\n \n \n \n \n \n Duration Bin Size\n \n {#each durationBinOptions as dbin}\n \n {/each}\n \n \n \n \n {\n pagingState = { page: 1, itemsPerPage: 10 };\n selectedHistograms = [...$state.snapshot(selectedHistograms)];\n }}\n />\n \n\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n {#key $nodeStatusQuery.data.jobsStatistics[0].histDuration}\n \n {/key}\n \n \n
\n

Top Users: Jobs

\n tu[\"totalJobs\"],\n )}\n entities={topUserJobs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserJobs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserJobs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalJobs\"]}
\n \n\n \n

Top Projects: Jobs

\n tp[\"totalJobs\"],\n )}\n entities={topProjectJobs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectJobs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectJobs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalJobs\"]}
\n \n \n{:else}\n Cannot render job status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: Nodes

\n tu[\"totalNodes\"],\n )}\n entities={topUserNodes.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserNodes as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserNodes
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalNodes\"]}
\n \n\n \n

Top Projects: Nodes

\n tp[\"totalNodes\"],\n )}\n entities={topProjectNodes.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each topProjectNodes as tp, i}\n \n \n \n \n \n {/each}\n
ProjectNodes
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalNodes\"]}
\n \n \n{:else}\n Cannot render node status charts: No data!\n{/if}\n\n
\n\n\n{#if $topStatsQuery?.fetching || $nodeStatusQuery?.fetching}\n \n{:else if $topStatsQuery?.data && $nodeStatusQuery?.data}\n \n \n \n \n \n
\n

Top Users: GPUs

\n tu[\"totalAccs\"],\n )}\n entities={topUserAccs.map((tu) =>\n scrambleNames ? scramble(tu.id) : tu.id,\n )}\n />\n
\n \n \n \n \n \n \n \n \n {#each topUserAccs as tu, i}\n \n \n \n {#if tu?.name}\n {scrambleNames ? scramble(tu.name) : tu.name}\n {/if}\n \n \n {/each}\n
UserGPUs
\n {scrambleNames ? scramble(tu.id) : tu.id}\n \n {tu[\"totalAccs\"]}
\n \n\n \n

Top Projects: GPUs

\n tp[\"totalAccs\"],\n )}\n entities={$topStatsQuery.data.topProjectAccs.map((tp) =>\n scrambleNames ? scramble(tp.id) : tp.id,\n )}\n />\n \n \n \n \n \n \n \n \n {#each $topStatsQuery.data.topProjectAccs as tp, i}\n \n \n \n \n \n {/each}\n
ProjectGPUs
\n {scrambleNames ? scramble(tp.id) : tp.id}\n \n {tp[\"totalAccs\"]}
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and can be fast-forwarded.\n (use \"git pull\" to update your local branch)\n\nChanges not staged for commit:\n (use \"git add ...\" to update what will be committed)\n (use \"git restore ...\" to discard changes in working directory)\n\tmodified: cmd/cc-backend/server.go\n\tmodified: go.mod\n\tmodified: internal/graph/schema.resolvers.go\n\tmodified: internal/repository/jobQuery.go\n\tmodified: internal/repository/migration.go\n\tmodified: internal/repository/stats.go\n\tmodified: web/frontend/src/status/dashdetails/UsageDash.svelte\n\nUntracked files:\n (use \"git add ...\" to include in what will be committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit 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committed)\n\tinternal/graph/stats_cache.go\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql\n\tinternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"d9a9e730-dc4c-4f7a-bb76-ac63523c7115","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8c38acf0-5730-406e-9bcb-4569e2cc147c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01EqVHditZ6T22Ah73pJhw7f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018XEdEYxNKn8aaiKuPimai3","name":"Bash","input":{"command":"git diff --stat","description":"Show diff 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internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 deletions(-)","is_error":false}]},"uuid":"34def0fd-3190-440e-8478-b886c3b8ff2a","timestamp":"2026-03-13T13:31:25.694Z","toolUseResult":{"stdout":" cmd/cc-backend/server.go | 7 ++\n go.mod | 2 +-\n internal/graph/schema.resolvers.go | 15 ++-\n internal/repository/jobQuery.go | 4 +-\n internal/repository/migration.go | 3 +-\n internal/repository/stats.go | 58 ++++++----\n .../src/status/dashdetails/UsageDash.svelte | 117 ++++++++++-----------\n 7 files changed, 119 insertions(+), 87 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+{"parentUuid":"c8a9689e-b6ab-473e-8908-bdcbcc4bb7d6","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":"Does it make sense to also inline the literal state value in other places?"},"uuid":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","timestamp":"2026-03-13T14:10:51.396Z","permissionMode":"plan","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LadQ1AxETvXziMrYBqj9ps","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nGood question. Let me explore where `job_state` is filtered with parameterized values across the codebase to see if there are other hot paths that would benefit."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":82126,"cache_read_input_tokens":14321,"cache_creation":{"ephemeral_5m_input_tokens":82126,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DNSxjVjbYfyBxWUgBg","type":"assistant","uuid":"d5e13524-c651-4d20-b025-783abd83517c","timestamp":"2026-03-13T14:10:57.740Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"d5e13524-c651-4d20-b025-783abd83517c","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LadQ1AxETvXziMrYBqj9ps","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EDotFfP7XFHmDSwtCzpTYi","name":"Agent","input":{"description":"Find all job_state filter sites","subagent_type":"Explore","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":82126,"cache_read_input_tokens":14321,"output_tokens":364,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":82126},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DNSxjVjbYfyBxWUgBg","type":"assistant","uuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","timestamp":"2026-03-13T14:11:04.386Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Agent","command":"entire hooks claude-code pre-task"},"toolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"0452f0e0-bc7d-4e99-a6ef-5e905225bd95","timestamp":"2026-03-13T14:11:04.391Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"0452f0e0-bc7d-4e99-a6ef-5e905225bd95","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files."}]},"uuid":"708853b8-ac7f-487a-aee8-1feebb810dae","timestamp":"2026-03-13T14:11:04.707Z"},"type":"agent_progress","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files.","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"d9698125-af00-4dd3-a1fa-2a66f5bb7e46","timestamp":"2026-03-13T14:11:04.707Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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files\ninternal/repository/stats.go\ninternal/repository/jobQuery.go\ninternal/repository/migration.go\ninternal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql\ninternal/repository/migrations/sqlite3/13_status-covering-indexes.down.sql\ninternal/repository/migrations/sqlite3/13_status-covering-indexes.up.sql\ninternal/repository/jobCreate.go\ninternal/repository/migrations/sqlite3/12_stats-covering-index.up.sql\ninternal/repository/migrations/sqlite3/09_add-job-cache.up.sql\ninternal/repository/migrations/sqlite3/11_optimize-indexes.down.sql\ninternal/repository/jobFind.go\ninternal/repository/jobCreate_test.go\ninternal/repository/job.go\ninternal/repository/migrations/sqlite3/04_add-constraints.up.sql\ninternal/repository/migrations/sqlite3/08_add-footprint.up.sql\ninternal/repository/migrations/sqlite3/01_init-schema.up.sql\ninternal/repository/migrations/sqlite3/02_add-index.up.sql\ninternal/repository/migrations/sqlite3/04_add-constraints.down.sql"}]},"uuid":"4043e45a-a9ac-4776-b305-696aa7f31504","timestamp":"2026-03-13T14:11:07.046Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"989db38d-4a17-4739-ab6b-1699a99e48d6","timestamp":"2026-03-13T14:11:07.079Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"188d4f7a-5686-49d2-bc3d-3fb00bddd033","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wp14PSnNiLjZX1qTuT4YyH","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→\t\"golang.org/x/sync/errgroup\"\n 59→)\n 60→\n 61→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 62→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 63→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 64→var groupBy2column = map[model.Aggregate]string{\n 65→\tmodel.AggregateUser: \"job.hpc_user\",\n 66→\tmodel.AggregateProject: \"job.project\",\n 67→\tmodel.AggregateCluster: \"job.cluster\",\n 68→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 69→}\n 70→\n 71→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 72→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 73→// Column names match the AS aliases used in buildStatsQuery.\n 74→var sortBy2column = map[model.SortByAggregate]string{\n 75→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 76→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 77→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 78→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 79→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 80→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 81→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 82→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 83→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 84→}\n 85→\n 86→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 87→//\n 88→// Parameters:\n 89→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 90→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 91→// - col: Column name to GROUP BY; empty string for total count without grouping\n 92→//\n 93→// Returns a SelectBuilder that produces either:\n 94→// - Single count: COUNT(job.id) when col is empty\n 95→// - Grouped counts: col, COUNT(job.id) when col is specified\n 96→//\n 97→// The kind parameter enables counting specific job categories:\n 98→// - \"running\": Only jobs with job_state = 'running'\n 99→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 100→// - empty: All jobs matching filters\n 101→func (r *JobRepository) buildCountQuery(\n 102→\tfilter []*model.JobFilter,\n 103→\tkind string,\n 104→\tcol string,\n 105→) sq.SelectBuilder {\n 106→\tvar query sq.SelectBuilder\n 107→\n 108→\tif col != \"\" {\n 109→\t\tquery = sq.Select(col, \"COUNT(*)\").From(\"job\").GroupBy(col)\n 110→\t} else {\n 111→\t\tquery = sq.Select(\"COUNT(*)\").From(\"job\")\n 112→\t}\n 113→\n 114→\tswitch kind {\n 115→\tcase \"running\":\n 116→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 117→\tcase \"short\":\n 118→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 119→\t}\n 120→\n 121→\tfor _, f := range filter {\n 122→\t\tquery = BuildWhereClause(f, query)\n 123→\t}\n 124→\n 125→\treturn query\n 126→}\n 127→\n 128→// buildStatsQuery constructs a SQL query to compute job statistics with optional grouping.\n 129→// Only requested columns are computed; unrequested columns select 0 as placeholder.\n 130→//\n 131→// Parameters:\n 132→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 133→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 134→// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n 135→// - reqFields: Set of requested field names; nil means compute all fields\n 136→func (r *JobRepository) buildStatsQuery(\n 137→\tfilter []*model.JobFilter,\n 138→\tcol string,\n 139→\tshortThreshold int,\n 140→\treqFields map[string]bool,\n 141→) sq.SelectBuilder {\n 142→\tnow := time.Now().Unix()\n 143→\n 144→\t// Helper: return real expression if field is requested (or reqFields is nil), else \"0 as alias\"\n 145→\tneed := func(field string) bool {\n 146→\t\treturn reqFields == nil || reqFields[field]\n 147→\t}\n 148→\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n 149→\n 150→\t// Build column list\n 151→\tcolumns := make([]string, 0, 14)\n 152→\n 153→\tif col != \"\" {\n 154→\t\tcolumns = append(columns, col)\n 155→\t}\n 156→\n 157→\tcolumns = append(columns, \"COUNT(*) as totalJobs\")\n 158→\n 159→\tif need(\"totalUsers\") && col != \"job.hpc_user\" {\n 160→\t\tcolumns = append(columns, \"COUNT(DISTINCT job.hpc_user) AS totalUsers\")\n 161→\t} else {\n 162→\t\tcolumns = append(columns, \"0 AS totalUsers\")\n 163→\t}\n 164→\n 165→\tif need(\"totalWalltime\") {\n 166→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s) / 3600) as int) as totalWalltime`, durationExpr))\n 167→\t} else {\n 168→\t\tcolumns = append(columns, \"0 as totalWalltime\")\n 169→\t}\n 170→\n 171→\tif need(\"totalNodes\") {\n 172→\t\tcolumns = append(columns, `CAST(SUM(job.num_nodes) as int) as totalNodes`)\n 173→\t} else {\n 174→\t\tcolumns = append(columns, \"0 as totalNodes\")\n 175→\t}\n 176→\n 177→\tif need(\"totalNodeHours\") {\n 178→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_nodes) / 3600) as int) as totalNodeHours`, durationExpr))\n 179→\t} else {\n 180→\t\tcolumns = append(columns, \"0 as totalNodeHours\")\n 181→\t}\n 182→\n 183→\tif need(\"totalCores\") {\n 184→\t\tcolumns = append(columns, `CAST(SUM(job.num_hwthreads) as int) as totalCores`)\n 185→\t} else {\n 186→\t\tcolumns = append(columns, \"0 as totalCores\")\n 187→\t}\n 188→\n 189→\tif need(\"totalCoreHours\") {\n 190→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_hwthreads) / 3600) as int) as totalCoreHours`, durationExpr))\n 191→\t} else {\n 192→\t\tcolumns = append(columns, \"0 as totalCoreHours\")\n 193→\t}\n 194→\n 195→\tif need(\"totalAccs\") {\n 196→\t\tcolumns = append(columns, `CAST(SUM(job.num_acc) as int) as totalAccs`)\n 197→\t} else {\n 198→\t\tcolumns = append(columns, \"0 as totalAccs\")\n 199→\t}\n 200→\n 201→\tif need(\"totalAccHours\") {\n 202→\t\tcolumns = append(columns, fmt.Sprintf(`CAST(ROUND(SUM(%s * job.num_acc) / 3600) as int) as totalAccHours`, durationExpr))\n 203→\t} else {\n 204→\t\tcolumns = append(columns, \"0 as totalAccHours\")\n 205→\t}\n 206→\n 207→\tif need(\"runningJobs\") {\n 208→\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n 209→\t} else {\n 210→\t\tcolumns = append(columns, \"0 as runningJobs\")\n 211→\t}\n 212→\n 213→\tif need(\"shortJobs\") {\n 214→\t\tcolumns = append(columns, fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold))\n 215→\t} else {\n 216→\t\tcolumns = append(columns, \"0 as shortJobs\")\n 217→\t}\n 218→\n 219→\tquery := sq.Select(columns...).From(\"job\")\n 220→\tif col != \"\" {\n 221→\t\tquery = query.GroupBy(col)\n 222→\t}\n 223→\n 224→\tfor _, f := range filter {\n 225→\t\tquery = BuildWhereClause(f, query)\n 226→\t}\n 227→\n 228→\treturn query\n 229→}\n 230→\n 231→// JobsStatsGrouped computes job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 232→// Only columns listed in reqFields are computed; others return 0. User display names are looked up\n 233→// in a separate lightweight query to avoid JOIN overhead on the main aggregation.\n 234→func (r *JobRepository) JobsStatsGrouped(\n 235→\tctx context.Context,\n 236→\tfilter []*model.JobFilter,\n 237→\tpage *model.PageRequest,\n 238→\tsortBy *model.SortByAggregate,\n 239→\tgroupBy *model.Aggregate,\n 240→\treqFields map[string]bool,\n 241→) ([]*model.JobsStatistics, error) {\n 242→\tcol := groupBy2column[*groupBy]\n 243→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration, reqFields)\n 244→\n 245→\tquery, err := SecurityCheck(ctx, query)\n 246→\tif err != nil {\n 247→\t\treturn nil, err\n 248→\t}\n 249→\n 250→\tif sortBy != nil {\n 251→\t\tsortBy := sortBy2column[*sortBy]\n 252→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 253→\t}\n 254→\tif page != nil && page.ItemsPerPage != -1 {\n 255→\t\tlimit := uint64(page.ItemsPerPage)\n 256→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 257→\t}\n 258→\n 259→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 260→\tif err != nil {\n 261→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 262→\t\treturn nil, err\n 263→\t}\n 264→\tdefer rows.Close()\n 265→\n 266→\tstats := make([]*model.JobsStatistics, 0, 100)\n 267→\n 268→\tfor rows.Next() {\n 269→\t\tvar id sql.NullString\n 270→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 271→\t\tif err := rows.Scan(&id, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 272→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 273→\t\t\treturn nil, err\n 274→\t\t}\n 275→\n 276→\t\tif id.Valid {\n 277→\t\t\tstats = append(stats,\n 278→\t\t\t\t&model.JobsStatistics{\n 279→\t\t\t\t\tID: id.String,\n 280→\t\t\t\t\tTotalJobs: int(jobs.Int64),\n 281→\t\t\t\t\tTotalUsers: int(users.Int64),\n 282→\t\t\t\t\tTotalWalltime: int(walltime.Int64),\n 283→\t\t\t\t\tTotalNodes: int(nodes.Int64),\n 284→\t\t\t\t\tTotalNodeHours: int(nodeHours.Int64),\n 285→\t\t\t\t\tTotalCores: int(cores.Int64),\n 286→\t\t\t\t\tTotalCoreHours: int(coreHours.Int64),\n 287→\t\t\t\t\tTotalAccs: int(accs.Int64),\n 288→\t\t\t\t\tTotalAccHours: int(accHours.Int64),\n 289→\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 290→\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n 291→\t\t\t\t})\n 292→\t\t}\n 293→\t}\n 294→\n 295→\tif err := rows.Err(); err != nil {\n 296→\t\treturn nil, err\n 297→\t}\n 298→\n 299→\t// Post-query name lookup for user grouping (avoids LEFT JOIN on aggregation query)\n 300→\tif col == \"job.hpc_user\" && len(stats) > 0 {\n 301→\t\tusernames := make([]any, len(stats))\n 302→\t\tfor i, s := range stats {\n 303→\t\t\tusernames[i] = s.ID\n 304→\t\t}\n 305→\n 306→\t\tnameQuery := sq.Select(\"username\", \"name\").From(\"hpc_user\").Where(sq.Eq{\"username\": usernames})\n 307→\t\tnameRows, err := nameQuery.RunWith(r.DB).QueryContext(ctx)\n 308→\t\tif err != nil {\n 309→\t\t\tcclog.Warnf(\"Error looking up user names: %s\", err.Error())\n 310→\t\t\t// Non-fatal: stats are still valid without display names\n 311→\t\t} else {\n 312→\t\t\tdefer nameRows.Close()\n 313→\t\t\tnameMap := make(map[string]string, len(stats))\n 314→\t\t\tfor nameRows.Next() {\n 315→\t\t\t\tvar username, name string\n 316→\t\t\t\tif err := nameRows.Scan(&username, &name); err == nil {\n 317→\t\t\t\t\tnameMap[username] = name\n 318→\t\t\t\t}\n 319→\t\t\t}\n 320→\t\t\tfor _, s := range stats {\n 321→\t\t\t\tif name, ok := nameMap[s.ID]; ok {\n 322→\t\t\t\t\ts.Name = name\n 323→\t\t\t\t}\n 324→\t\t\t}\n 325→\t\t}\n 326→\t}\n 327→\n 328→\treturn stats, nil\n 329→}\n 330→\n 331→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 332→//\n 333→// This method provides a single aggregate view of job metrics, useful for dashboard\n 334→// summaries and overall system utilization reports.\n 335→//\n 336→// Parameters:\n 337→// - ctx: Context for security checks and cancellation\n 338→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 339→//\n 340→// Returns a single-element slice containing aggregate statistics:\n 341→// - totalJobs, totalUsers, totalWalltime\n 342→// - totalNodeHours, totalCoreHours, totalAccHours\n 343→//\n 344→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 345→// Security checks are applied via SecurityCheck to respect user access levels.\n 346→func (r *JobRepository) JobsStats(\n 347→\tctx context.Context,\n 348→\tfilter []*model.JobFilter,\n 349→\treqFields map[string]bool,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration, reqFields)\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t\tRunningJobs: int(runningJobs.Int64),\n 388→\t\t\t\tShortJobs: int(shortJobs.Int64),\n 389→\t\t\t})\n 390→\t}\n 391→\n 392→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 393→\treturn stats, nil\n 394→}\n 395→\n 396→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 397→// Returns 0.0 if the metric is not found or statType is invalid.\n 398→//\n 399→// Parameters:\n 400→// - job: Job struct with populated Statistics field\n 401→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 402→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 403→//\n 404→// Returns the requested statistic value or 0.0 if not found.\n 405→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 406→\tif stats, ok := job.Statistics[metric]; ok {\n 407→\t\tswitch statType {\n 408→\t\tcase \"avg\":\n 409→\t\t\treturn stats.Avg\n 410→\t\tcase \"max\":\n 411→\t\t\treturn stats.Max\n 412→\t\tcase \"min\":\n 413→\t\t\treturn stats.Min\n 414→\t\tdefault:\n 415→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 416→\t\t}\n 417→\t}\n 418→\n 419→\treturn 0.0\n 420→}\n 421→\n 422→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 423→//\n 424→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 425→// avoiding the overhead of calculating walltime and resource usage metrics.\n 426→//\n 427→// Parameters:\n 428→// - ctx: Context for security checks\n 429→// - filter: Filters to apply\n 430→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 431→//\n 432→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 433→func (r *JobRepository) JobCountGrouped(\n 434→\tctx context.Context,\n 435→\tfilter []*model.JobFilter,\n 436→\tgroupBy *model.Aggregate,\n 437→) ([]*model.JobsStatistics, error) {\n 438→\tstart := time.Now()\n 439→\tcol := groupBy2column[*groupBy]\n 440→\tquery := r.buildCountQuery(filter, \"\", col)\n 441→\tquery, err := SecurityCheck(ctx, query)\n 442→\tif err != nil {\n 443→\t\treturn nil, err\n 444→\t}\n 445→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 446→\tif err != nil {\n 447→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 448→\t\treturn nil, err\n 449→\t}\n 450→\tdefer rows.Close()\n 451→\n 452→\tstats := make([]*model.JobsStatistics, 0, 100)\n 453→\n 454→\tfor rows.Next() {\n 455→\t\tvar id sql.NullString\n 456→\t\tvar cnt sql.NullInt64\n 457→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 458→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 459→\t\t\treturn nil, err\n 460→\t\t}\n 461→\t\tif id.Valid {\n 462→\t\t\tstats = append(stats,\n 463→\t\t\t\t&model.JobsStatistics{\n 464→\t\t\t\t\tID: id.String,\n 465→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 466→\t\t\t\t})\n 467→\t\t}\n 468→\t}\n 469→\n 470→\tif err := rows.Err(); err != nil {\n 471→\t\treturn nil, err\n 472→\t}\n 473→\n 474→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 475→\treturn stats, nil\n 476→}\n 477→\n 478→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 479→//\n 480→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 481→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 482→//\n 483→// Parameters:\n 484→// - ctx: Context for security checks\n 485→// - filter: Filters to apply\n 486→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 487→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 488→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 489→//\n 490→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 491→// Groups without matching jobs will have 0 for the added field.\n 492→func (r *JobRepository) AddJobCountGrouped(\n 493→\tctx context.Context,\n 494→\tfilter []*model.JobFilter,\n 495→\tgroupBy *model.Aggregate,\n 496→\tstats []*model.JobsStatistics,\n 497→\tkind string,\n 498→) ([]*model.JobsStatistics, error) {\n 499→\tstart := time.Now()\n 500→\tcol := groupBy2column[*groupBy]\n 501→\tquery := r.buildCountQuery(filter, kind, col)\n 502→\tquery, err := SecurityCheck(ctx, query)\n 503→\tif err != nil {\n 504→\t\treturn nil, err\n 505→\t}\n 506→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 507→\tif err != nil {\n 508→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 509→\t\treturn nil, err\n 510→\t}\n 511→\tdefer rows.Close()\n 512→\n 513→\tcounts := make(map[string]int)\n 514→\n 515→\tfor rows.Next() {\n 516→\t\tvar id sql.NullString\n 517→\t\tvar cnt sql.NullInt64\n 518→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 519→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 520→\t\t\treturn nil, err\n 521→\t\t}\n 522→\t\tif id.Valid {\n 523→\t\t\tcounts[id.String] = int(cnt.Int64)\n 524→\t\t}\n 525→\t}\n 526→\n 527→\tif err := rows.Err(); err != nil {\n 528→\t\treturn nil, err\n 529→\t}\n 530→\n 531→\tswitch kind {\n 532→\tcase \"running\":\n 533→\t\tfor _, s := range stats {\n 534→\t\t\ts.RunningJobs = counts[s.ID]\n 535→\t\t}\n 536→\tcase \"short\":\n 537→\t\tfor _, s := range stats {\n 538→\t\t\ts.ShortJobs = counts[s.ID]\n 539→\t\t}\n 540→\t}\n 541→\n 542→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 543→\treturn stats, nil\n 544→}\n 545→\n 546→// AddJobCount augments existing overall statistics with additional job counts by category.\n 547→//\n 548→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 549→// to all statistics entries (typically just one).\n 550→//\n 551→// Parameters:\n 552→// - ctx: Context for security checks\n 553→// - filter: Filters to apply\n 554→// - stats: Existing statistics to augment (modified in-place)\n 555→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 556→//\n 557→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 558→func (r *JobRepository) AddJobCount(\n 559→\tctx context.Context,\n 560→\tfilter []*model.JobFilter,\n 561→\tstats []*model.JobsStatistics,\n 562→\tkind string,\n 563→) ([]*model.JobsStatistics, error) {\n 564→\tstart := time.Now()\n 565→\tquery := r.buildCountQuery(filter, kind, \"\")\n 566→\tquery, err := SecurityCheck(ctx, query)\n 567→\tif err != nil {\n 568→\t\treturn nil, err\n 569→\t}\n 570→\tvar cnt sql.NullInt64\n 571→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 572→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 573→\t\treturn nil, err\n 574→\t}\n 575→\n 576→\tcount := int(cnt.Int64)\n 577→\n 578→\tswitch kind {\n 579→\tcase \"running\":\n 580→\t\tfor _, s := range stats {\n 581→\t\t\ts.RunningJobs = count\n 582→\t\t}\n 583→\tcase \"short\":\n 584→\t\tfor _, s := range stats {\n 585→\t\t\ts.ShortJobs = count\n 586→\t\t}\n 587→\t}\n 588→\n 589→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 590→\treturn stats, nil\n 591→}\n 592→\n 593→// AddHistograms augments statistics with distribution histograms for job properties.\n 594→//\n 595→// Generates histogram data for visualization of job duration, node count, core count,\n 596→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 597→// on the requested resolution.\n 598→//\n 599→// Parameters:\n 600→// - ctx: Context for security checks\n 601→// - filter: Filters to apply to jobs included in histograms\n 602→// - stat: Statistics struct to augment (modified in-place)\n 603→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 604→//\n 605→// Populates these fields in stat:\n 606→// - HistDuration: Job duration distribution (zero-padded bins)\n 607→// - HistNumNodes: Node count distribution\n 608→// - HistNumCores: Core (hwthread) count distribution\n 609→// - HistNumAccs: Accelerator count distribution\n 610→//\n 611→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 612→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 613→func (r *JobRepository) AddHistograms(\n 614→\tctx context.Context,\n 615→\tfilter []*model.JobFilter,\n 616→\tstat *model.JobsStatistics,\n 617→\tdurationBins *string,\n 618→) (*model.JobsStatistics, error) {\n 619→\tstart := time.Now()\n 620→\n 621→\tvar targetBinCount int\n 622→\tvar targetBinSize int\n 623→\tswitch *durationBins {\n 624→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 625→\t\ttargetBinCount = 60\n 626→\t\ttargetBinSize = 60\n 627→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 628→\t\ttargetBinCount = 72\n 629→\t\ttargetBinSize = 600\n 630→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 631→\t\ttargetBinCount = 48\n 632→\t\ttargetBinSize = 3600\n 633→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 634→\t\ttargetBinCount = 12\n 635→\t\ttargetBinSize = 21600\n 636→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 637→\t\ttargetBinCount = 14\n 638→\t\ttargetBinSize = 43200\n 639→\tdefault: // 24h\n 640→\t\ttargetBinCount = 24\n 641→\t\ttargetBinSize = 3600\n 642→\t}\n 643→\n 644→\t// Run all 4 histogram queries in parallel — each writes a distinct struct field.\n 645→\tg, gctx := errgroup.WithContext(ctx)\n 646→\n 647→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 648→\n 649→\tg.Go(func() error {\n 650→\t\tvar err error\n 651→\t\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(gctx, value, filter, targetBinSize, &targetBinCount)\n 652→\t\tif err != nil {\n 653→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 654→\t\t}\n 655→\t\treturn err\n 656→\t})\n 657→\tg.Go(func() error {\n 658→\t\tvar err error\n 659→\t\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(gctx, \"job.num_nodes as value\", filter)\n 660→\t\tif err != nil {\n 661→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 662→\t\t}\n 663→\t\treturn err\n 664→\t})\n 665→\tg.Go(func() error {\n 666→\t\tvar err error\n 667→\t\tstat.HistNumCores, err = r.jobsStatisticsHistogram(gctx, \"job.num_hwthreads as value\", filter)\n 668→\t\tif err != nil {\n 669→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 670→\t\t}\n 671→\t\treturn err\n 672→\t})\n 673→\tg.Go(func() error {\n 674→\t\tvar err error\n 675→\t\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(gctx, \"job.num_acc as value\", filter)\n 676→\t\tif err != nil {\n 677→\t\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 678→\t\t}\n 679→\t\treturn err\n 680→\t})\n 681→\n 682→\tif err := g.Wait(); err != nil {\n 683→\t\treturn nil, err\n 684→\t}\n 685→\n 686→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 687→\treturn stat, nil\n 688→}\n 689→\n 690→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 691→//\n 692→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 693→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 694→// use footprint data from database.\n 695→//\n 696→// Parameters:\n 697→// - ctx: Context for security checks\n 698→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 699→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 700→// - stat: Statistics struct to augment (modified in-place)\n 701→// - targetBinCount: Number of histogram bins (default: 10)\n 702→//\n 703→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 704→//\n 705→// Binning algorithm:\n 706→// - Values normalized to metric's peak value from cluster configuration\n 707→// - Bins evenly distributed from 0 to peak\n 708→// - Pre-initialized with zeros for consistent visualization\n 709→//\n 710→// Limitations:\n 711→// - Running jobs: Limited to 5000 jobs for performance\n 712→// - Requires valid cluster configuration with metric peak values\n 713→// - Uses footprint statistic (avg/max/min) configured per metric\n 714→func (r *JobRepository) AddMetricHistograms(\n 715→\tctx context.Context,\n 716→\tfilter []*model.JobFilter,\n 717→\tmetrics []string,\n 718→\tstat *model.JobsStatistics,\n 719→\ttargetBinCount *int,\n 720→) (*model.JobsStatistics, error) {\n 721→\tstart := time.Now()\n 722→\n 723→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 724→\tfor _, f := range filter {\n 725→\t\tif f.State != nil {\n 726→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 727→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 728→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 729→\t\t\t\treturn stat, nil\n 730→\t\t\t}\n 731→\t\t}\n 732→\t}\n 733→\n 734→\t// All other cases: Query and make bins in sqlite directly\n 735→\tfor _, m := range metrics {\n 736→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 737→\t\tif err != nil {\n 738→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 739→\t\t\tcontinue\n 740→\t\t}\n 741→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 742→\t}\n 743→\n 744→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 745→\treturn stat, nil\n 746→}\n 747→\n 748→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 749→//\n 750→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 751→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 752→//\n 753→// Parameters:\n 754→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 755→// - filters: Job filters to apply\n 756→//\n 757→// Returns histogram points with Value (from column) and Count (number of jobs).\n 758→func (r *JobRepository) jobsStatisticsHistogram(\n 759→\tctx context.Context,\n 760→\tvalue string,\n 761→\tfilters []*model.JobFilter,\n 762→) ([]*model.HistoPoint, error) {\n 763→\tstart := time.Now()\n 764→\tquery, qerr := SecurityCheck(ctx,\n 765→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 766→\n 767→\tif qerr != nil {\n 768→\t\treturn nil, qerr\n 769→\t}\n 770→\n 771→\tfor _, f := range filters {\n 772→\t\tquery = BuildWhereClause(f, query)\n 773→\t}\n 774→\n 775→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 776→\tif err != nil {\n 777→\t\tcclog.Error(\"Error while running query\")\n 778→\t\treturn nil, err\n 779→\t}\n 780→\tdefer rows.Close()\n 781→\n 782→\tpoints := make([]*model.HistoPoint, 0)\n 783→\t// is it possible to introduce zero values here? requires info about bincount\n 784→\tfor rows.Next() {\n 785→\t\tpoint := model.HistoPoint{}\n 786→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 787→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 788→\t\t\treturn nil, err\n 789→\t\t}\n 790→\n 791→\t\tpoints = append(points, &point)\n 792→\t}\n 793→\n 794→\tif err := rows.Err(); err != nil {\n 795→\t\treturn nil, err\n 796→\t}\n 797→\n 798→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 799→\treturn points, nil\n 800→}\n 801→\n 802→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 803→//\n 804→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 805→// histograms which only return bins with data. The value parameter should compute\n 806→// the bin number from job duration.\n 807→//\n 808→// Parameters:\n 809→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 810→// - filters: Job filters to apply\n 811→// - binSizeSeconds: Width of each bin in seconds\n 812→// - targetBinCount: Number of bins to pre-initialize\n 813→//\n 814→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 815→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 816→//\n 817→// Algorithm:\n 818→// 1. Pre-initialize targetBinCount bins with zero counts\n 819→// 2. Query database for actual counts per bin\n 820→// 3. Match query results to pre-initialized bins by value\n 821→// 4. Bins without matches remain at zero\n 822→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 823→\tctx context.Context,\n 824→\tvalue string,\n 825→\tfilters []*model.JobFilter,\n 826→\tbinSizeSeconds int,\n 827→\ttargetBinCount *int,\n 828→) ([]*model.HistoPoint, error) {\n 829→\tstart := time.Now()\n 830→\tquery, qerr := SecurityCheck(ctx,\n 831→\t\tsq.Select(value, \"COUNT(*) AS count\").From(\"job\"))\n 832→\n 833→\tif qerr != nil {\n 834→\t\treturn nil, qerr\n 835→\t}\n 836→\n 837→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 838→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 839→\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n 840→\tfor i := 1; i <= *targetBinCount; i++ {\n 841→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 842→\t\tpoints = append(points, &point)\n 843→\t}\n 844→\n 845→\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n 846→\tbinMap := make(map[int]int, len(points))\n 847→\tfor i, p := range points {\n 848→\t\tbinMap[p.Value] = i\n 849→\t}\n 850→\n 851→\tfor _, f := range filters {\n 852→\t\tquery = BuildWhereClause(f, query)\n 853→\t}\n 854→\n 855→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 856→\tif err != nil {\n 857→\t\tcclog.Error(\"Error while running query\")\n 858→\t\treturn nil, err\n 859→\t}\n 860→\tdefer rows.Close()\n 861→\n 862→\t// Match query results to pre-initialized bins using map lookup.\n 863→\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n 864→\tfor rows.Next() {\n 865→\t\tpoint := model.HistoPoint{}\n 866→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 867→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 868→\t\t\treturn nil, err\n 869→\t\t}\n 870→\n 871→\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n 872→\t\t\tpoints[idx].Count = point.Count\n 873→\t\t}\n 874→\t}\n 875→\n 876→\tif err := rows.Err(); err != nil {\n 877→\t\treturn nil, err\n 878→\t}\n 879→\n 880→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 881→\treturn points, nil\n 882→}\n 883→\n 884→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 885→//\n 886→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 887→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 888→// and computing bin assignments in SQL.\n 889→//\n 890→// Parameters:\n 891→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 892→// - filters: Job filters to apply\n 893→// - bins: Number of bins to generate\n 894→//\n 895→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 896→//\n 897→// Algorithm:\n 898→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 899→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 900→// 3. Pre-initialize bins with min/max ranges based on peak value\n 901→// 4. Query database for counts per bin\n 902→// 5. Match results to pre-initialized bins\n 903→//\n 904→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 905→// peak by 0.999999999 to avoid creating an extra bin.\n 906→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 907→\tctx context.Context,\n 908→\tmetric string,\n 909→\tfilters []*model.JobFilter,\n 910→\tbins *int,\n 911→) (*model.MetricHistoPoints, error) {\n 912→\t// Peak value defines the upper bound for binning: values are distributed across\n 913→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 914→\t// scan all clusters to find the maximum peak value.\n 915→\tvar metricConfig *schema.MetricConfig\n 916→\tvar peak float64\n 917→\tvar unit string\n 918→\tvar footprintStat string\n 919→\n 920→\t// Try to get metric config from filtered cluster\n 921→\tfor _, f := range filters {\n 922→\t\tif f.Cluster != nil {\n 923→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 924→\t\t\tpeak = metricConfig.Peak\n 925→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 926→\t\t\tfootprintStat = metricConfig.Footprint\n 927→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 932→\t// This ensures histogram can accommodate all possible values\n 933→\tif peak == 0.0 {\n 934→\t\tfor _, c := range archive.Clusters {\n 935→\t\t\tfor _, m := range c.MetricConfig {\n 936→\t\t\t\tif m.Name == metric {\n 937→\t\t\t\t\tif m.Peak > peak {\n 938→\t\t\t\t\t\tpeak = m.Peak\n 939→\t\t\t\t\t}\n 940→\t\t\t\t\tif unit == \"\" {\n 941→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 942→\t\t\t\t\t}\n 943→\t\t\t\t\tif footprintStat == \"\" {\n 944→\t\t\t\t\t\tfootprintStat = m.Footprint\n 945→\t\t\t\t\t}\n 946→\t\t\t\t}\n 947→\t\t\t}\n 948→\t\t}\n 949→\t}\n 950→\n 951→\t// Construct SQL histogram bins using normalized values.\n 952→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 953→\tstart := time.Now()\n 954→\n 955→\t// Bin calculation formula:\n 956→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 957→\t// Special case: value == peak would create bin N+1, so we test for equality\n 958→\t// and multiply peak by 0.999999999 to force it into bin N.\n 959→\tbinQuery := fmt.Sprintf(`CAST(\n 960→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 961→\t\t* %v as INTEGER )`,\n 962→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 963→\n 964→\tmainQuery := sq.Select(\n 965→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 966→\t\t`count(*) as count`,\n 967→\t).From(\"job\").Where(\n 968→\t\t\"JSON_VALID(footprint)\",\n 969→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 970→\n 971→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 972→\tif qerr != nil {\n 973→\t\treturn nil, qerr\n 974→\t}\n 975→\n 976→\tfor _, f := range filters {\n 977→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 978→\t}\n 979→\n 980→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 981→\n 982→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 983→\tif err != nil {\n 984→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 985→\t\treturn nil, err\n 986→\t}\n 987→\tdefer rows.Close()\n 988→\n 989→\t// Pre-initialize bins with calculated min/max ranges.\n 990→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 991→\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n 992→\tbinStep := int(peak) / *bins\n 993→\tfor i := 1; i <= *bins; i++ {\n 994→\t\tbinMin := (binStep * (i - 1))\n 995→\t\tbinMax := (binStep * i)\n 996→\t\tidx := i\n 997→\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n 998→\t\tpoints = append(points, &epoint)\n 999→\t}\n 1000→\n 1001→\t// Build a map from bin number to slice index for O(1) lookup.\n 1002→\tbinMap := make(map[int]int, len(points))\n 1003→\tfor i, p := range points {\n 1004→\t\tif p.Bin != nil {\n 1005→\t\t\tbinMap[*p.Bin] = i\n 1006→\t\t}\n 1007→\t}\n 1008→\n 1009→\t// Match query results to pre-initialized bins using map lookup.\n 1010→\tfor rows.Next() {\n 1011→\t\trpoint := model.MetricHistoPoint{}\n 1012→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 1013→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 1014→\t\t\treturn nil, err\n 1015→\t\t}\n 1016→\n 1017→\t\tif rpoint.Bin != nil {\n 1018→\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n 1019→\t\t\t\tpoints[idx].Count = rpoint.Count\n 1020→\t\t\t}\n 1021→\t\t}\n 1022→\t}\n 1023→\n 1024→\tif err := rows.Err(); err != nil {\n 1025→\t\treturn nil, err\n 1026→\t}\n 1027→\n 1028→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1029→\n 1030→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1031→\treturn &result, nil\n 1032→}\n 1033→\n 1034→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1035→//\n 1036→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1037→// fetching current metric averages from the metric backend (via metricdispatch).\n 1038→//\n 1039→// Parameters:\n 1040→// - metrics: List of metric names\n 1041→// - filters: Job filters (should filter to running jobs only)\n 1042→// - bins: Number of histogram bins\n 1043→//\n 1044→// Returns slice of MetricHistoPoints, one per metric.\n 1045→//\n 1046→// Limitations:\n 1047→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1048→// - Requires metric backend availability\n 1049→// - Bins based on metric peak values from cluster configuration\n 1050→//\n 1051→// Algorithm:\n 1052→// 1. Query first 5001 jobs to check count limit\n 1053→// 2. Load metric averages for all jobs via metricdispatch\n 1054→// 3. For each metric, create bins based on peak value\n 1055→// 4. Iterate averages and count jobs per bin\n 1056→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1057→\tctx context.Context,\n 1058→\tmetrics []string,\n 1059→\tfilters []*model.JobFilter,\n 1060→\tbins *int,\n 1061→) []*model.MetricHistoPoints {\n 1062→\t// Get Jobs\n 1063→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1064→\tif err != nil {\n 1065→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1066→\t\treturn nil\n 1067→\t}\n 1068→\tif len(jobs) > 5000 {\n 1069→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1070→\t\treturn nil\n 1071→\t}\n 1072→\n 1073→\t// Get AVGs from metric repo\n 1074→\tavgs := make([][]schema.Float, len(metrics))\n 1075→\tfor i := range avgs {\n 1076→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1077→\t}\n 1078→\n 1079→\tfor _, job := range jobs {\n 1080→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1081→\t\t\tcontinue\n 1082→\t\t}\n 1083→\n 1084→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1085→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1086→\t\t\treturn nil\n 1087→\t\t}\n 1088→\t}\n 1089→\n 1090→\t// Iterate metrics to fill endresult\n 1091→\tdata := make([]*model.MetricHistoPoints, 0)\n 1092→\tfor idx, metric := range metrics {\n 1093→\t\t// Get specific Peak or largest Peak\n 1094→\t\tvar metricConfig *schema.MetricConfig\n 1095→\t\tvar peak float64\n 1096→\t\tvar unit string\n 1097→\n 1098→\t\tfor _, f := range filters {\n 1099→\t\t\tif f.Cluster != nil {\n 1100→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1101→\t\t\t\tpeak = metricConfig.Peak\n 1102→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1103→\t\t\t}\n 1104→\t\t}\n 1105→\n 1106→\t\tif peak == 0.0 {\n 1107→\t\t\tfor _, c := range archive.Clusters {\n 1108→\t\t\t\tfor _, m := range c.MetricConfig {\n 1109→\t\t\t\t\tif m.Name == metric {\n 1110→\t\t\t\t\t\tif m.Peak > peak {\n 1111→\t\t\t\t\t\t\tpeak = m.Peak\n 1112→\t\t\t\t\t\t}\n 1113→\t\t\t\t\t\tif unit == \"\" {\n 1114→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1115→\t\t\t\t\t\t}\n 1116→\t\t\t\t\t}\n 1117→\t\t\t\t}\n 1118→\t\t\t}\n 1119→\t\t}\n 1120→\n 1121→\t\t// Make and fill bins\n 1122→\t\tpeakBin := int(peak) / *bins\n 1123→\n 1124→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1125→\t\tfor b := 0; b < *bins; b++ {\n 1126→\t\t\tcount := 0\n 1127→\t\t\tbindex := b + 1\n 1128→\t\t\tbmin := peakBin * b\n 1129→\t\t\tbmax := peakBin * (b + 1)\n 1130→\n 1131→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1132→\t\t\tfor _, val := range avgs[idx] {\n 1133→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1134→\t\t\t\t\tcount += 1\n 1135→\t\t\t\t}\n 1136→\t\t\t}\n 1137→\n 1138→\t\t\t// Append Bin to Metric Result Array\n 1139→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1140→\t\t\tpoints = append(points, &point)\n 1141→\t\t}\n 1142→\n 1143→\t\t// Append Metric Result Array to final results array\n 1144→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1145→\t\tdata = append(data, &result)\n 1146→\t}\n 1147→\n 1148→\treturn data\n 1149→}\n 1150→"}]},"uuid":"dd0b639f-6949-4db5-855d-6824ea0f9458","timestamp":"2026-03-13T14:11:09.514Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"5e272231-8f96-456b-843f-3ea00519dfbf","timestamp":"2026-03-13T14:11:09.575Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5e272231-8f96-456b-843f-3ea00519dfbf","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WFwXZph4GrZ6BiX1xQZmYK","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides job query functionality with filtering, pagination,\n 7→// and security controls. This file contains the main query builders and security\n 8→// checks for job retrieval operations.\n 9→package repository\n 10→\n 11→import (\n 12→\t\"context\"\n 13→\t\"errors\"\n 14→\t\"fmt\"\n 15→\t\"regexp\"\n 16→\t\"strings\"\n 17→\t\"time\"\n 18→\n 19→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 20→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 21→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 22→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 23→\tsq \"github.com/Masterminds/squirrel\"\n 24→)\n 25→\n 26→const (\n 27→\t// Default initial capacity for job result slices\n 28→\tdefaultJobsCapacity = 50\n 29→)\n 30→\n 31→// QueryJobs retrieves jobs from the database with optional filtering, pagination,\n 32→// and sorting. Security controls are automatically applied based on the user context.\n 33→//\n 34→// Parameters:\n 35→// - ctx: Context containing user authentication information\n 36→// - filters: Optional job filters (cluster, state, user, time ranges, etc.)\n 37→// - page: Optional pagination parameters (page number and items per page)\n 38→// - order: Optional sorting specification (column or footprint field)\n 39→//\n 40→// Returns a slice of jobs matching the criteria, or an error if the query fails.\n 41→// The function enforces role-based access control through SecurityCheck.\n 42→func (r *JobRepository) QueryJobs(\n 43→\tctx context.Context,\n 44→\tfilters []*model.JobFilter,\n 45→\tpage *model.PageRequest,\n 46→\torder *model.OrderByInput,\n 47→) ([]*schema.Job, error) {\n 48→\tquery, qerr := SecurityCheck(ctx, sq.Select(jobColumns...).From(\"job\"))\n 49→\tif qerr != nil {\n 50→\t\treturn nil, qerr\n 51→\t}\n 52→\n 53→\tif order != nil {\n 54→\t\tfield := toSnakeCase(order.Field)\n 55→\t\tif order.Type == \"col\" {\n 56→\t\t\tswitch order.Order {\n 57→\t\t\tcase model.SortDirectionEnumAsc:\n 58→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s ASC\", field))\n 59→\t\t\tcase model.SortDirectionEnumDesc:\n 60→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"job.%s DESC\", field))\n 61→\t\t\tdefault:\n 62→\t\t\t\treturn nil, errors.New(\"invalid sorting order for column\")\n 63→\t\t\t}\n 64→\t\t} else {\n 65→\t\t\t// Order by footprint JSON field values\n 66→\t\t\tquery = query.Where(\"JSON_VALID(footprint)\")\n 67→\t\t\tswitch order.Order {\n 68→\t\t\tcase model.SortDirectionEnumAsc:\n 69→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") ASC\", field))\n 70→\t\t\tcase model.SortDirectionEnumDesc:\n 71→\t\t\t\tquery = query.OrderBy(fmt.Sprintf(\"JSON_EXTRACT(footprint, \\\"$.%s\\\") DESC\", field))\n 72→\t\t\tdefault:\n 73→\t\t\t\treturn nil, errors.New(\"invalid sorting order for footprint\")\n 74→\t\t\t}\n 75→\t\t}\n 76→\t}\n 77→\n 78→\tif page != nil && page.ItemsPerPage != -1 {\n 79→\t\tlimit := uint64(page.ItemsPerPage)\n 80→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 81→\t}\n 82→\n 83→\tfor _, f := range filters {\n 84→\t\tquery = BuildWhereClause(f, query)\n 85→\t}\n 86→\n 87→\trows, err := query.RunWith(r.stmtCache).QueryContext(ctx)\n 88→\tif err != nil {\n 89→\t\tqueryString, queryVars, _ := query.ToSql()\n 90→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 91→\t}\n 92→\tdefer rows.Close()\n 93→\n 94→\tjobs := make([]*schema.Job, 0, defaultJobsCapacity)\n 95→\tfor rows.Next() {\n 96→\t\tjob, err := scanJob(rows)\n 97→\t\tif err != nil {\n 98→\t\t\tcclog.Warnf(\"Error scanning job row: %v\", err)\n 99→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 100→\t\t}\n 101→\t\tjobs = append(jobs, job)\n 102→\t}\n 103→\n 104→\tif err := rows.Err(); err != nil {\n 105→\t\treturn nil, fmt.Errorf(\"error iterating job rows: %w\", err)\n 106→\t}\n 107→\n 108→\treturn jobs, nil\n 109→}\n 110→\n 111→// CountJobs returns the total number of jobs matching the given filters.\n 112→// Security controls are automatically applied based on the user context.\n 113→// Uses DISTINCT count to handle tag filters correctly (jobs may appear multiple\n 114→// times when joined with the tag table).\n 115→func (r *JobRepository) CountJobs(\n 116→\tctx context.Context,\n 117→\tfilters []*model.JobFilter,\n 118→) (int, error) {\n 119→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"count(DISTINCT job.id)\").From(\"job\"))\n 120→\tif qerr != nil {\n 121→\t\treturn 0, qerr\n 122→\t}\n 123→\n 124→\tfor _, f := range filters {\n 125→\t\tquery = BuildWhereClause(f, query)\n 126→\t}\n 127→\n 128→\tvar count int\n 129→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&count); err != nil {\n 130→\t\treturn 0, fmt.Errorf(\"failed to count jobs: %w\", err)\n 131→\t}\n 132→\n 133→\treturn count, nil\n 134→}\n 135→\n 136→// SecurityCheckWithUser applies role-based access control filters to a job query\n 137→// based on the provided user's roles and permissions.\n 138→//\n 139→// Access rules by role:\n 140→// - API role (exclusive): Full access to all jobs\n 141→// - Admin/Support roles: Full access to all jobs\n 142→// - Manager role: Access to jobs in managed projects plus own jobs\n 143→// - User role: Access only to own jobs\n 144→//\n 145→// Returns an error if the user is nil or has no recognized roles.\n 146→func SecurityCheckWithUser(user *schema.User, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 147→\tif user == nil {\n 148→\t\tvar qnil sq.SelectBuilder\n 149→\t\treturn qnil, fmt.Errorf(\"user context is nil\")\n 150→\t}\n 151→\n 152→\tswitch {\n 153→\tcase len(user.Roles) == 1 && user.HasRole(schema.RoleAPI):\n 154→\t\treturn query, nil\n 155→\tcase user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}):\n 156→\t\treturn query, nil\n 157→\tcase user.HasRole(schema.RoleManager):\n 158→\t\tif len(user.Projects) != 0 {\n 159→\t\t\treturn query.Where(sq.Or{sq.Eq{\"job.project\": user.Projects}, sq.Eq{\"job.hpc_user\": user.Username}}), nil\n 160→\t\t}\n 161→\t\tcclog.Debugf(\"Manager '%s' has no assigned projects, restricting to personal jobs\", user.Username)\n 162→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 163→\tcase user.HasRole(schema.RoleUser):\n 164→\t\treturn query.Where(\"job.hpc_user = ?\", user.Username), nil\n 165→\tdefault:\n 166→\t\tvar qnil sq.SelectBuilder\n 167→\t\treturn qnil, fmt.Errorf(\"user has no or unknown roles\")\n 168→\t}\n 169→}\n 170→\n 171→// SecurityCheck extracts the user from the context and applies role-based access\n 172→// control filters to the query. This is a convenience wrapper around SecurityCheckWithUser.\n 173→func SecurityCheck(ctx context.Context, query sq.SelectBuilder) (sq.SelectBuilder, error) {\n 174→\tuser := GetUserFromContext(ctx)\n 175→\treturn SecurityCheckWithUser(user, query)\n 176→}\n 177→\n 178→// BuildWhereClause constructs SQL WHERE conditions from a JobFilter and applies\n 179→// them to the query. Supports filtering by job properties (cluster, state, user),\n 180→// time ranges, resource usage, tags, and JSON field searches in meta_data,\n 181→// footprint, and resources columns.\n 182→func BuildWhereClause(filter *model.JobFilter, query sq.SelectBuilder) sq.SelectBuilder {\n 183→\t// Primary Key\n 184→\tif filter.DbID != nil {\n 185→\t\tdbIDs := make([]string, len(filter.DbID))\n 186→\t\tcopy(dbIDs, filter.DbID)\n 187→\t\tquery = query.Where(sq.Eq{\"job.id\": dbIDs})\n 188→\t}\n 189→\t// Explicit indices\n 190→\tif filter.Cluster != nil {\n 191→\t\tquery = buildStringCondition(\"job.cluster\", filter.Cluster, query)\n 192→\t}\n 193→\tif filter.SubCluster != nil {\n 194→\t\tquery = buildStringCondition(\"job.subcluster\", filter.SubCluster, query)\n 195→\t}\n 196→\tif filter.Partition != nil {\n 197→\t\tquery = buildStringCondition(\"job.cluster_partition\", filter.Partition, query)\n 198→\t}\n 199→\tif filter.State != nil {\n 200→\t\tif len(filter.State) == 1 {\n 201→\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n 202→\t\t\t// Safe: values come from validated GraphQL enum (model.JobState).\n 203→\t\t\tsingleStat := string(filter.State[0])\n 204→\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n 205→\t\t} else {\n 206→\t\t\tstates := make([]string, len(filter.State))\n 207→\t\t\tfor i, val := range filter.State {\n 208→\t\t\t\tstates[i] = string(val)\n 209→\t\t\t}\n 210→\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n 211→\t\t}\n 212→\t}\n 213→\tif filter.Shared != nil {\n 214→\t\tquery = query.Where(\"job.shared = ?\", *filter.Shared)\n 215→\t}\n 216→\tif filter.Project != nil {\n 217→\t\tquery = buildStringCondition(\"job.project\", filter.Project, query)\n 218→\t}\n 219→\tif filter.User != nil {\n 220→\t\tquery = buildStringCondition(\"job.hpc_user\", filter.User, query)\n 221→\t}\n 222→\tif filter.NumNodes != nil {\n 223→\t\tquery = buildIntCondition(\"job.num_nodes\", filter.NumNodes, query)\n 224→\t}\n 225→\tif filter.NumAccelerators != nil {\n 226→\t\tquery = buildIntCondition(\"job.num_acc\", filter.NumAccelerators, query)\n 227→\t}\n 228→\tif filter.NumHWThreads != nil {\n 229→\t\tquery = buildIntCondition(\"job.num_hwthreads\", filter.NumHWThreads, query)\n 230→\t}\n 231→\tif filter.ArrayJobID != nil {\n 232→\t\tquery = query.Where(\"job.array_job_id = ?\", *filter.ArrayJobID)\n 233→\t}\n 234→\tif filter.StartTime != nil {\n 235→\t\tquery = buildTimeCondition(\"job.start_time\", filter.StartTime, query)\n 236→\t}\n 237→\tif filter.Duration != nil {\n 238→\t\tquery = buildIntCondition(\"job.duration\", filter.Duration, query)\n 239→\t}\n 240→\tif filter.Energy != nil {\n 241→\t\tquery = buildFloatCondition(\"job.energy\", filter.Energy, query)\n 242→\t}\n 243→\t// Indices on Tag Table\n 244→\tif filter.Tags != nil {\n 245→\t\t// This is an OR-Logic query: Returns all distinct jobs with at least one of the requested tags; TODO: AND-Logic query?\n 246→\t\tquery = query.Join(\"jobtag ON jobtag.job_id = job.id\").Where(sq.Eq{\"jobtag.tag_id\": filter.Tags}).Distinct()\n 247→\t}\n 248→\t// No explicit Indices\n 249→\tif filter.JobID != nil {\n 250→\t\tquery = buildStringCondition(\"job.job_id\", filter.JobID, query)\n 251→\t}\n 252→\t// Queries Within JSONs\n 253→\tif filter.MetricStats != nil {\n 254→\t\tfor _, ms := range filter.MetricStats {\n 255→\t\t\tquery = buildFloatJSONCondition(ms.MetricName, ms.Range, query)\n 256→\t\t}\n 257→\t}\n 258→\tif filter.Node != nil {\n 259→\t\tquery = buildResourceJSONCondition(\"hostname\", filter.Node, query)\n 260→\t}\n 261→\tif filter.JobName != nil {\n 262→\t\tquery = buildMetaJSONCondition(\"jobName\", filter.JobName, query)\n 263→\t}\n 264→\tif filter.Schedule != nil {\n 265→\t\tinteractiveJobname := \"interactive\"\n 266→\t\tswitch *filter.Schedule {\n 267→\t\tcase \"interactive\":\n 268→\t\t\tiFilter := model.StringInput{Eq: &interactiveJobname}\n 269→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &iFilter, query)\n 270→\t\tcase \"batch\":\n 271→\t\t\tsFilter := model.StringInput{Neq: &interactiveJobname}\n 272→\t\t\tquery = buildMetaJSONCondition(\"jobName\", &sFilter, query)\n 273→\t\t}\n 274→\t}\n 275→\n 276→\t// Configurable Filter to exclude recently started jobs, see config.go: ShortRunningJobsDuration\n 277→\tif filter.MinRunningFor != nil {\n 278→\t\tnow := time.Now().Unix()\n 279→\t\t// Only jobs whose start timestamp is more than MinRunningFor seconds in the past\n 280→\t\t// If a job completed within the configured timeframe, it will still show up after the start_time matches the condition!\n 281→\t\tquery = query.Where(sq.Lt{\"job.start_time\": (now - int64(*filter.MinRunningFor))})\n 282→\t}\n 283→\treturn query\n 284→}\n 285→\n 286→// buildIntCondition creates clauses for integer range filters, using BETWEEN only if required.\n 287→func buildIntCondition(field string, cond *config.IntRange, query sq.SelectBuilder) sq.SelectBuilder {\n 288→\tif cond.From != 1 && cond.To != 0 {\n 289→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 290→\t} else if cond.From != 1 && cond.To == 0 {\n 291→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 292→\t} else if cond.From == 1 && cond.To != 0 {\n 293→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 294→\t} else {\n 295→\t\treturn query\n 296→\t}\n 297→}\n 298→\n 299→// buildFloatCondition creates a clauses for float range filters, using BETWEEN only if required.\n 300→func buildFloatCondition(field string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 301→\tif cond.From != 1.0 && cond.To != 0.0 {\n 302→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From, cond.To)\n 303→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 304→\t\treturn query.Where(field+\" >= ?\", cond.From)\n 305→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 306→\t\treturn query.Where(field+\" <= ?\", cond.To)\n 307→\t} else {\n 308→\t\treturn query\n 309→\t}\n 310→}\n 311→\n 312→// buildTimeCondition creates time range filters supporting absolute timestamps,\n 313→// relative time ranges (last6h, last24h, last7d, last30d), or open-ended ranges.\n 314→// Reminder: BETWEEN Queries are slower and dont use indices as frequently: Only use if both conditions required\n 315→func buildTimeCondition(field string, cond *config.TimeRange, query sq.SelectBuilder) sq.SelectBuilder {\n 316→\tif cond.From != nil && cond.To != nil {\n 317→\t\treturn query.Where(field+\" BETWEEN ? AND ?\", cond.From.Unix(), cond.To.Unix())\n 318→\t} else if cond.From != nil {\n 319→\t\treturn query.Where(field+\" >= ?\", cond.From.Unix())\n 320→\t} else if cond.To != nil {\n 321→\t\treturn query.Where(field+\" <= ?\", cond.To.Unix())\n 322→\t} else if cond.Range != \"\" {\n 323→\t\tnow := time.Now().Unix()\n 324→\t\tvar then int64\n 325→\t\tswitch cond.Range {\n 326→\t\tcase \"last6h\":\n 327→\t\t\tthen = now - (60 * 60 * 6)\n 328→\t\tcase \"last24h\":\n 329→\t\t\tthen = now - (60 * 60 * 24)\n 330→\t\tcase \"last7d\":\n 331→\t\t\tthen = now - (60 * 60 * 24 * 7)\n 332→\t\tcase \"last30d\":\n 333→\t\t\tthen = now - (60 * 60 * 24 * 30)\n 334→\t\tdefault:\n 335→\t\t\tcclog.Debugf(\"No known named timeRange: startTime.range = %s\", cond.Range)\n 336→\t\t\treturn query\n 337→\t\t}\n 338→\t\treturn query.Where(field+\" >= ?\", then)\n 339→\t} else {\n 340→\t\treturn query\n 341→\t}\n 342→}\n 343→\n 344→// buildFloatJSONCondition creates a filter on a numeric field within the footprint JSON column, using BETWEEN only if required.\n 345→func buildFloatJSONCondition(jsonField string, cond *model.FloatRange, query sq.SelectBuilder) sq.SelectBuilder {\n 346→\tquery = query.Where(\"JSON_VALID(footprint)\")\n 347→\tif cond.From != 1.0 && cond.To != 0.0 {\n 348→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") BETWEEN ? AND ?\", cond.From, cond.To)\n 349→\t} else if cond.From != 1.0 && cond.To == 0.0 {\n 350→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") >= ?\", cond.From)\n 351→\t} else if cond.From == 1.0 && cond.To != 0.0 {\n 352→\t\treturn query.Where(\"JSON_EXTRACT(footprint, \\\"$.\"+jsonField+\"\\\") <= ?\", cond.To)\n 353→\t} else {\n 354→\t\treturn query\n 355→\t}\n 356→}\n 357→\n 358→// buildStringCondition creates filters for string fields supporting equality,\n 359→// inequality, prefix, suffix, substring, and IN list matching.\n 360→func buildStringCondition(field string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 361→\tif cond.Eq != nil {\n 362→\t\treturn query.Where(field+\" = ?\", *cond.Eq)\n 363→\t}\n 364→\tif cond.Neq != nil {\n 365→\t\treturn query.Where(field+\" != ?\", *cond.Neq)\n 366→\t}\n 367→\tif cond.StartsWith != nil {\n 368→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 369→\t}\n 370→\tif cond.EndsWith != nil {\n 371→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 372→\t}\n 373→\tif cond.Contains != nil {\n 374→\t\treturn query.Where(field+\" LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 375→\t}\n 376→\tif cond.In != nil {\n 377→\t\tqueryElements := make([]string, len(cond.In))\n 378→\t\tcopy(queryElements, cond.In)\n 379→\t\treturn query.Where(sq.Or{sq.Eq{field: queryElements}})\n 380→\t}\n 381→\treturn query\n 382→}\n 383→\n 384→// buildMetaJSONCondition creates filters on fields within the meta_data JSON column.\n 385→func buildMetaJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 386→\tquery = query.Where(\"JSON_VALID(meta_data)\")\n 387→\tif cond.Eq != nil {\n 388→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") = ?\", *cond.Eq)\n 389→\t}\n 390→\tif cond.Neq != nil {\n 391→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") != ?\", *cond.Neq)\n 392→\t}\n 393→\tif cond.StartsWith != nil {\n 394→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 395→\t}\n 396→\tif cond.EndsWith != nil {\n 397→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.EndsWith))\n 398→\t}\n 399→\tif cond.Contains != nil {\n 400→\t\treturn query.Where(\"JSON_EXTRACT(meta_data, \\\"$.\"+jsonField+\"\\\") LIKE ?\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 401→\t}\n 402→\treturn query\n 403→}\n 404→\n 405→// buildResourceJSONCondition creates filters on fields within the resources JSON array column.\n 406→// Uses json_each to search within array elements.\n 407→func buildResourceJSONCondition(jsonField string, cond *model.StringInput, query sq.SelectBuilder) sq.SelectBuilder {\n 408→\tquery = query.Where(\"JSON_VALID(resources)\")\n 409→\tif cond.Eq != nil {\n 410→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") = ?)\", *cond.Eq)\n 411→\t}\n 412→\tif cond.Neq != nil { // Currently Unused\n 413→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") != ?)\", *cond.Neq)\n 414→\t}\n 415→\tif cond.StartsWith != nil { // Currently Unused\n 416→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\")) LIKE ?)\", fmt.Sprint(*cond.StartsWith, \"%\"))\n 417→\t}\n 418→\tif cond.EndsWith != nil { // Currently Unused\n 419→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.EndsWith))\n 420→\t}\n 421→\tif cond.Contains != nil {\n 422→\t\treturn query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, \\\"$.\"+jsonField+\"\\\") LIKE ?)\", fmt.Sprint(\"%\", *cond.Contains, \"%\"))\n 423→\t}\n 424→\treturn query\n 425→}\n 426→\n 427→var (\n 428→\tmatchFirstCap = regexp.MustCompile(\"(.)([A-Z][a-z]+)\")\n 429→\tmatchAllCap = regexp.MustCompile(\"([a-z0-9])([A-Z])\")\n 430→)\n 431→\n 432→// toSnakeCase converts camelCase strings to snake_case for SQL column names.\n 433→// Includes security checks to prevent SQL injection attempts.\n 434→// Panics if potentially dangerous characters are detected.\n 435→func toSnakeCase(str string) string {\n 436→\tfor _, c := range str {\n 437→\t\tif c == '\\'' || c == '\\\\' || c == '\"' || c == ';' || c == '-' || c == ' ' {\n 438→\t\t\tcclog.Panicf(\"toSnakeCase: potentially dangerous character detected in input: %q\", str)\n 439→\t\t}\n 440→\t}\n 441→\n 442→\tsnake := matchFirstCap.ReplaceAllString(str, \"${1}_${2}\")\n 443→\tsnake = matchAllCap.ReplaceAllString(snake, \"${1}_${2}\")\n 444→\treturn strings.ToLower(snake)\n 445→}\n 446→"}]},"uuid":"b51ae835-87b1-4eb2-a538-fccddaec12df","timestamp":"2026-03-13T14:11:09.347Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"016af23b-9293-4b33-81b2-287a8e5b408f","timestamp":"2026-03-13T14:11:09.576Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"939a2696-b97a-4b6a-abf9-d5285b66653a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X9F3YaGF9o8Ujnkz4pWCH9","type":"tool_result","content":"\nOutput too large (49.5KB). Full output saved to: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/889ef150-c6ca-4f35-81e5-c19dc95fe399/tool-results/REDACTED.txt\n\nPreview (first 2KB):\n 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// Package repository provides the data access layer for cc-backend using the repository pattern.\n 7→//\n 8→// The repository pattern abstracts database operations and provides a clean interface for\n 9→// data access. Each major entity (Job, User, Node, Tag) has its own repository with CRUD\n 10→// operations and specialized queries.\n 11→//\n 12→// # Database Connection\n 13→//\n 14→// Initialize the database connection before using any repository:\n 15→//\n 16→//\trepository.Connect(\"sqlite3\", \"./var/job.db\")\n 17→//\n 18→// # Configuration\n 19→//\n 20→// Optional: Configure repository settings before initialization:\n 21→//\n 22→//\trepository.SetConfig(&repository.RepositoryConfig{\n 23→//\t CacheSize: 2 * 1024 * 1024, // 2MB cache\n 24→//\t MaxOpenConnections: 8, // Connection pool size\n 25→//\t MinRunningJobDuration: 300, // Filter threshold\n 26→//\t})\n 27→//\n 28→// If not configured, sensible defaults are used automatically.\n 29→//\n 30→// # Repositories\n 31→//\n 32→// - JobRepository: Job lifecycle management and querying\n 33→// - UserRepository: User management and authentication\n 34→// - NodeRepository: Cluster node state tracking\n 35→// - Tags: Job tagging and categorization\n 36→//\n 37→// # Caching\n 38→//\n 39→// Repositories use LRU caching to improve performance. Cache keys are constructed\n 40→// as \"type:id\" (e.g., \"metadata:123\"). Cache is automatically invalidated on\n 41→// mutations to maintain consistency.\n 42→//\n 43→// # Transaction Support\n 44→//\n 45→// For batch operations, use transactions:\n 46→//\n 47→//\tt, err := jobRepo.TransactionInit()\n...\n"}]},"uuid":"17f0f64f-0891-48a3-94b8-7930d3ed96fb","timestamp":"2026-03-13T14:11:09.796Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"5c9114de-0408-440c-80b8-a10a3384e92c","timestamp":"2026-03-13T14:11:09.799Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"5c9114de-0408-440c-80b8-a10a3384e92c","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:09.799Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Fhfb93Fhobxx5SVNqmGBrG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019zZLoPC9GPMR4LVYfm78mD","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobCreate.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":869,"cache_read_input_tokens":17392,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DPZA5cvSxMGtyDmgvH","uuid":"5ae01326-7a22-470d-abb0-b29f19a27835"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a272b4ea-9d3e-418f-b098-e45c8c7d263a","timestamp":"2026-03-13T14:11:09.799Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a272b4ea-9d3e-418f-b098-e45c8c7d263a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019zZLoPC9GPMR4LVYfm78mD","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"encoding/json\"\n 10→\t\"fmt\"\n 11→\n 12→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 13→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 14→\tsq \"github.com/Masterminds/squirrel\"\n 15→)\n 16→\n 17→const NamedJobCacheInsert string = `INSERT INTO job_cache (\n 18→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 19→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 20→) VALUES (\n 21→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 22→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 23→);`\n 24→\n 25→const NamedJobInsert string = `INSERT INTO job (\n 26→\tjob_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,\n 27→\tshared, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data\n 28→) VALUES (\n 29→\t:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,\n 30→ :shared, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data\n 31→);`\n 32→\n 33→// InsertJobDirect inserts a job directly into the job table (not job_cache).\n 34→// Use this when the returned ID will be used for operations on the job table\n 35→// (e.g., adding tags), or for imported jobs that are already completed.\n 36→func (r *JobRepository) InsertJobDirect(job *schema.Job) (int64, error) {\n 37→\tr.Mutex.Lock()\n 38→\tdefer r.Mutex.Unlock()\n 39→\n 40→\tres, err := r.DB.NamedExec(NamedJobInsert, job)\n 41→\tif err != nil {\n 42→\t\tcclog.Warn(\"Error while NamedJobInsert (direct)\")\n 43→\t\treturn 0, err\n 44→\t}\n 45→\tid, err := res.LastInsertId()\n 46→\tif err != nil {\n 47→\t\tcclog.Warn(\"Error while getting last insert ID (direct)\")\n 48→\t\treturn 0, err\n 49→\t}\n 50→\n 51→\treturn id, nil\n 52→}\n 53→\n 54→func (r *JobRepository) InsertJob(job *schema.Job) (int64, error) {\n 55→\tr.Mutex.Lock()\n 56→\tdefer r.Mutex.Unlock()\n 57→\n 58→\tres, err := r.DB.NamedExec(NamedJobCacheInsert, job)\n 59→\tif err != nil {\n 60→\t\tcclog.Warn(\"Error while NamedJobInsert\")\n 61→\t\treturn 0, err\n 62→\t}\n 63→\tid, err := res.LastInsertId()\n 64→\tif err != nil {\n 65→\t\tcclog.Warn(\"Error while getting last insert ID\")\n 66→\t\treturn 0, err\n 67→\t}\n 68→\n 69→\treturn id, nil\n 70→}\n 71→\n 72→func (r *JobRepository) SyncJobs() ([]*schema.Job, error) {\n 73→\tr.Mutex.Lock()\n 74→\tdefer r.Mutex.Unlock()\n 75→\n 76→\tquery := sq.Select(jobCacheColumns...).From(\"job_cache\")\n 77→\n 78→\trows, err := query.RunWith(r.stmtCache).Query()\n 79→\tif err != nil {\n 80→\t\tcclog.Errorf(\"Error while running query %v\", err)\n 81→\t\treturn nil, err\n 82→\t}\n 83→\tdefer rows.Close()\n 84→\n 85→\tjobs := make([]*schema.Job, 0, 50)\n 86→\tfor rows.Next() {\n 87→\t\tjob, err := scanJob(rows)\n 88→\t\tif err != nil {\n 89→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 90→\t\t\treturn nil, err\n 91→\t\t}\n 92→\t\tjobs = append(jobs, job)\n 93→\t}\n 94→\n 95→\t// Use INSERT OR IGNORE to skip jobs already transferred by the stop path\n 96→\t_, err = r.DB.Exec(\n 97→\t\t\"INSERT OR IGNORE INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache\")\n 98→\tif err != nil {\n 99→\t\tcclog.Errorf(\"Error while Job sync: %v\", err)\n 100→\t\treturn nil, err\n 101→\t}\n 102→\n 103→\t_, err = r.DB.Exec(\"DELETE FROM job_cache\")\n 104→\tif err != nil {\n 105→\t\tcclog.Errorf(\"Error while Job cache clean: %v\", err)\n 106→\t\treturn nil, err\n 107→\t}\n 108→\n 109→\t// Resolve correct job.id from the job table. The IDs read from job_cache\n 110→\t// are from a different auto-increment sequence and must not be used to\n 111→\t// query the job table.\n 112→\tfor _, job := range jobs {\n 113→\t\tvar newID int64\n 114→\t\tif err := sq.Select(\"job.id\").From(\"job\").\n 115→\t\t\tWhere(\"job.job_id = ? AND job.cluster = ? AND job.start_time = ?\",\n 116→\t\t\t\tjob.JobID, job.Cluster, job.StartTime).\n 117→\t\t\tRunWith(r.stmtCache).QueryRow().Scan(&newID); err != nil {\n 118→\t\t\tcclog.Warnf(\"SyncJobs: could not resolve job table id for job %d on %s: %v\",\n 119→\t\t\t\tjob.JobID, job.Cluster, err)\n 120→\t\t\tcontinue\n 121→\t\t}\n 122→\t\tjob.ID = &newID\n 123→\t}\n 124→\n 125→\treturn jobs, nil\n 126→}\n 127→\n 128→// TransferCachedJobToMain moves a job from job_cache to the job table.\n 129→// Caller must hold r.Mutex. Returns the new job table ID.\n 130→func (r *JobRepository) TransferCachedJobToMain(cacheID int64) (int64, error) {\n 131→\tres, err := r.DB.Exec(\n 132→\t\t\"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, shared, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache WHERE id = ?\",\n 133→\t\tcacheID)\n 134→\tif err != nil {\n 135→\t\treturn 0, fmt.Errorf(\"transferring cached job %d to main table failed: %w\", cacheID, err)\n 136→\t}\n 137→\n 138→\tnewID, err := res.LastInsertId()\n 139→\tif err != nil {\n 140→\t\treturn 0, fmt.Errorf(\"getting new job ID after transfer failed: %w\", err)\n 141→\t}\n 142→\n 143→\t_, err = r.DB.Exec(\"DELETE FROM job_cache WHERE id = ?\", cacheID)\n 144→\tif err != nil {\n 145→\t\treturn 0, fmt.Errorf(\"deleting cached job %d after transfer failed: %w\", cacheID, err)\n 146→\t}\n 147→\n 148→\treturn newID, nil\n 149→}\n 150→\n 151→// Start inserts a new job in the table, returning the unique job ID.\n 152→// Statistics are not transfered!\n 153→func (r *JobRepository) Start(job *schema.Job) (id int64, err error) {\n 154→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 155→\tif err != nil {\n 156→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 157→\t}\n 158→\n 159→\tjob.RawResources, err = json.Marshal(job.Resources)\n 160→\tif err != nil {\n 161→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 162→\t}\n 163→\n 164→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 165→\tif err != nil {\n 166→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 167→\t}\n 168→\n 169→\treturn r.InsertJob(job)\n 170→}\n 171→\n 172→// StartDirect inserts a new job directly into the job table (not job_cache).\n 173→// Use this when the returned ID will immediately be used for job table\n 174→// operations such as adding tags.\n 175→func (r *JobRepository) StartDirect(job *schema.Job) (id int64, err error) {\n 176→\tjob.RawFootprint, err = json.Marshal(job.Footprint)\n 177→\tif err != nil {\n 178→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding footprint field failed: %w\", err)\n 179→\t}\n 180→\n 181→\tjob.RawResources, err = json.Marshal(job.Resources)\n 182→\tif err != nil {\n 183→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding resources field failed: %w\", err)\n 184→\t}\n 185→\n 186→\tjob.RawMetaData, err = json.Marshal(job.MetaData)\n 187→\tif err != nil {\n 188→\t\treturn -1, fmt.Errorf(\"REPOSITORY/JOB > encoding metaData field failed: %w\", err)\n 189→\t}\n 190→\n 191→\treturn r.InsertJobDirect(job)\n 192→}\n 193→\n 194→// Stop updates the job with the database id jobId using the provided arguments.\n 195→func (r *JobRepository) Stop(\n 196→\tjobID int64,\n 197→\tduration int32,\n 198→\tstate schema.JobState,\n 199→\tmonitoringStatus int32,\n 200→) (err error) {\n 201→\t// Invalidate cache entries as job state is changing\n 202→\tr.cache.Del(fmt.Sprintf(\"metadata:%d\", jobID))\n 203→\tr.cache.Del(fmt.Sprintf(\"energyFootprint:%d\", jobID))\n 204→\n 205→\tstmt := sq.Update(\"job\").\n 206→\t\tSet(\"job_state\", state).\n 207→\t\tSet(\"duration\", duration).\n 208→\t\tSet(\"monitoring_status\", monitoringStatus).\n 209→\t\tWhere(\"job.id = ?\", jobID)\n 210→\n 211→\t_, err = stmt.RunWith(r.stmtCache).Exec()\n 212→\treturn err\n 213→}\n 214→"}]},"uuid":"208e9674-2c54-4170-a0df-e976f24b2dd3","timestamp":"2026-03-13T14:11:09.812Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a1e1ee7b-7dfb-4e17-bb5d-c1cac3e716a1","timestamp":"2026-03-13T14:11:09.981Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"a1e1ee7b-7dfb-4e17-bb5d-c1cac3e716a1","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:10.001Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Fhfb93Fhobxx5SVNqmGBrG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A3ib8hMenZRABoGGvobf7k","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":869,"cache_read_input_tokens":17392,"cache_creation":{"ephemeral_5m_input_tokens":869,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DPZA5cvSxMGtyDmgvH","uuid":"13f69735-0ab2-4365-94c0-d8ea10c81d44"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"93c5bcd0-f24a-4705-857c-15bca8910681","timestamp":"2026-03-13T14:11:10.002Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"93c5bcd0-f24a-4705-857c-15bca8910681","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A3ib8hMenZRABoGGvobf7k","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"context\"\n 10→\t\"database/sql\"\n 11→\t\"fmt\"\n 12→\t\"time\"\n 13→\n 14→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 15→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 16→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 17→\tsq \"github.com/Masterminds/squirrel\"\n 18→)\n 19→\n 20→// Find executes a SQL query to find a specific batch job.\n 21→// The job is queried using the batch job id, the cluster name,\n 22→// and the start time of the job in UNIX epoch time seconds.\n 23→// It returns a pointer to a schema.Job data structure and an error variable.\n 24→// To check if no job was found test err == sql.ErrNoRows\n 25→func (r *JobRepository) Find(\n 26→\tjobID *int64,\n 27→\tcluster *string,\n 28→\tstartTime *int64,\n 29→) (*schema.Job, error) {\n 30→\tif jobID == nil {\n 31→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 32→\t}\n 33→\n 34→\tstart := time.Now()\n 35→\tq := sq.Select(jobColumns...).From(\"job\").\n 36→\t\tWhere(\"job.job_id = ?\", *jobID)\n 37→\n 38→\tif cluster != nil {\n 39→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 40→\t}\n 41→\tif startTime != nil {\n 42→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 43→\t}\n 44→\n 45→\tq = q.OrderBy(\"job.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 46→\n 47→\tcclog.Debugf(\"Timer Find %s\", time.Since(start))\n 48→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 49→}\n 50→\n 51→// FindCached executes a SQL query to find a specific batch job from the job_cache table.\n 52→// The job is queried using the batch job id, and optionally filtered by cluster name\n 53→// and start time (UNIX epoch time seconds). This method uses cached job data which\n 54→// may be stale but provides faster access than Find().\n 55→// It returns a pointer to a schema.Job data structure and an error variable.\n 56→// To check if no job was found test err == sql.ErrNoRows\n 57→func (r *JobRepository) FindCached(\n 58→\tjobID *int64,\n 59→\tcluster *string,\n 60→\tstartTime *int64,\n 61→) (*schema.Job, error) {\n 62→\tif jobID == nil {\n 63→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 64→\t}\n 65→\n 66→\tq := sq.Select(jobCacheColumns...).From(\"job_cache\").\n 67→\t\tWhere(\"job_cache.job_id = ?\", *jobID)\n 68→\n 69→\tif cluster != nil {\n 70→\t\tq = q.Where(\"job_cache.cluster = ?\", *cluster)\n 71→\t}\n 72→\tif startTime != nil {\n 73→\t\tq = q.Where(\"job_cache.start_time = ?\", *startTime)\n 74→\t}\n 75→\n 76→\tq = q.OrderBy(\"job_cache.id DESC\").Limit(1) // always use newest matching job by db id if more than one match\n 77→\n 78→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 79→}\n 80→\n 81→// FindAll executes a SQL query to find all batch jobs matching the given criteria.\n 82→// Jobs are queried using the batch job id, and optionally filtered by cluster name\n 83→// and start time (UNIX epoch time seconds).\n 84→// It returns a slice of pointers to schema.Job data structures and an error variable.\n 85→// An empty slice is returned if no matching jobs are found.\n 86→func (r *JobRepository) FindAll(\n 87→\tjobID *int64,\n 88→\tcluster *string,\n 89→\tstartTime *int64,\n 90→) ([]*schema.Job, error) {\n 91→\tif jobID == nil {\n 92→\t\treturn nil, fmt.Errorf(\"jobID cannot be nil\")\n 93→\t}\n 94→\n 95→\tstart := time.Now()\n 96→\tq := sq.Select(jobColumns...).From(\"job\").\n 97→\t\tWhere(\"job.job_id = ?\", *jobID)\n 98→\n 99→\tif cluster != nil {\n 100→\t\tq = q.Where(\"job.cluster = ?\", *cluster)\n 101→\t}\n 102→\tif startTime != nil {\n 103→\t\tq = q.Where(\"job.start_time = ?\", *startTime)\n 104→\t}\n 105→\n 106→\trows, err := q.RunWith(r.stmtCache).Query()\n 107→\tif err != nil {\n 108→\t\tcclog.Errorf(\"Error while running FindAll query for jobID=%d: %v\", *jobID, err)\n 109→\t\treturn nil, fmt.Errorf(\"failed to execute FindAll query: %w\", err)\n 110→\t}\n 111→\tdefer rows.Close()\n 112→\n 113→\tjobs := make([]*schema.Job, 0, 10)\n 114→\tfor rows.Next() {\n 115→\t\tjob, err := scanJob(rows)\n 116→\t\tif err != nil {\n 117→\t\t\tcclog.Warnf(\"Error while scanning rows in FindAll: %v\", err)\n 118→\t\t\treturn nil, fmt.Errorf(\"failed to scan job row: %w\", err)\n 119→\t\t}\n 120→\t\tjobs = append(jobs, job)\n 121→\t}\n 122→\tcclog.Debugf(\"Timer FindAll %s\", time.Since(start))\n 123→\treturn jobs, nil\n 124→}\n 125→\n 126→// GetJobList returns job IDs for non-running jobs.\n 127→// This is useful to process large job counts and intended to be used\n 128→// together with FindById to process jobs one by one.\n 129→// Use limit and offset for pagination. Use limit=0 to get all results (not recommended for large datasets).\n 130→func (r *JobRepository) GetJobList(limit int, offset int) ([]int64, error) {\n 131→\tquery := sq.Select(\"id\").From(\"job\").\n 132→\t\tWhere(\"job.job_state != 'running'\")\n 133→\n 134→\t// Add pagination if limit is specified\n 135→\tif limit > 0 {\n 136→\t\tquery = query.Limit(uint64(limit)).Offset(uint64(offset))\n 137→\t}\n 138→\n 139→\trows, err := query.RunWith(r.stmtCache).Query()\n 140→\tif err != nil {\n 141→\t\tcclog.Errorf(\"Error while running GetJobList query (limit=%d, offset=%d): %v\", limit, offset, err)\n 142→\t\treturn nil, fmt.Errorf(\"failed to execute GetJobList query: %w\", err)\n 143→\t}\n 144→\tdefer rows.Close()\n 145→\n 146→\tjl := make([]int64, 0, 1000)\n 147→\tfor rows.Next() {\n 148→\t\tvar id int64\n 149→\t\terr := rows.Scan(&id)\n 150→\t\tif err != nil {\n 151→\t\t\tcclog.Warnf(\"Error while scanning rows in GetJobList: %v\", err)\n 152→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID: %w\", err)\n 153→\t\t}\n 154→\t\tjl = append(jl, id)\n 155→\t}\n 156→\n 157→\tcclog.Debugf(\"JobRepository.GetJobList(): Return job count %d\", len(jl))\n 158→\treturn jl, nil\n 159→}\n 160→\n 161→// FindByID executes a SQL query to find a specific batch job.\n 162→// The job is queried using the database id.\n 163→// It returns a pointer to a schema.Job data structure and an error variable.\n 164→// To check if no job was found test err == sql.ErrNoRows\n 165→func (r *JobRepository) FindByID(ctx context.Context, jobID int64) (*schema.Job, error) {\n 166→\tq := sq.Select(jobColumns...).\n 167→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 168→\n 169→\tq, qerr := SecurityCheck(ctx, q)\n 170→\tif qerr != nil {\n 171→\t\treturn nil, qerr\n 172→\t}\n 173→\n 174→\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n 175→}\n 176→\n 177→// FindByIDWithUser executes a SQL query to find a specific batch job.\n 178→// The job is queried using the database id. The user is passed directly,\n 179→// instead as part of the context.\n 180→// It returns a pointer to a schema.Job data structure and an error variable.\n 181→// To check if no job was found test err == sql.ErrNoRows\n 182→func (r *JobRepository) FindByIDWithUser(user *schema.User, jobID int64) (*schema.Job, error) {\n 183→\tq := sq.Select(jobColumns...).\n 184→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 185→\n 186→\tq, qerr := SecurityCheckWithUser(user, q)\n 187→\tif qerr != nil {\n 188→\t\treturn nil, qerr\n 189→\t}\n 190→\n 191→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 192→}\n 193→\n 194→// FindByIDDirect executes a SQL query to find a specific batch job.\n 195→// The job is queried using the database id.\n 196→// It returns a pointer to a schema.Job data structure and an error variable.\n 197→// To check if no job was found test err == sql.ErrNoRows\n 198→func (r *JobRepository) FindByIDDirect(jobID int64) (*schema.Job, error) {\n 199→\tq := sq.Select(jobColumns...).\n 200→\t\tFrom(\"job\").Where(\"job.id = ?\", jobID)\n 201→\treturn scanJob(q.RunWith(r.stmtCache).QueryRow())\n 202→}\n 203→\n 204→// FindByJobID executes a SQL query to find a specific batch job.\n 205→// The job is queried using the slurm id and the clustername.\n 206→// It returns a pointer to a schema.Job data structure and an error variable.\n 207→// To check if no job was found test err == sql.ErrNoRows\n 208→func (r *JobRepository) FindByJobID(ctx context.Context, jobID int64, startTime int64, cluster string) (*schema.Job, error) {\n 209→\tq := sq.Select(jobColumns...).\n 210→\t\tFrom(\"job\").\n 211→\t\tWhere(\"job.job_id = ?\", jobID).\n 212→\t\tWhere(\"job.cluster = ?\", cluster).\n 213→\t\tWhere(\"job.start_time = ?\", startTime)\n 214→\n 215→\tq, qerr := SecurityCheck(ctx, q)\n 216→\tif qerr != nil {\n 217→\t\treturn nil, qerr\n 218→\t}\n 219→\n 220→\treturn scanJob(q.RunWith(r.stmtCache).QueryRowContext(ctx))\n 221→}\n 222→\n 223→// IsJobOwner checks if the specified user owns the batch job identified by jobID,\n 224→// startTime, and cluster. Returns true if the user is the owner, false otherwise.\n 225→// This method does not return errors; it returns false for both non-existent jobs\n 226→// and jobs owned by other users.\n 227→func (r *JobRepository) IsJobOwner(jobID int64, startTime int64, user string, cluster string) bool {\n 228→\tq := sq.Select(\"id\").\n 229→\t\tFrom(\"job\").\n 230→\t\tWhere(\"job.job_id = ?\", jobID).\n 231→\t\tWhere(\"job.hpc_user = ?\", user).\n 232→\t\tWhere(\"job.cluster = ?\", cluster).\n 233→\t\tWhere(\"job.start_time = ?\", startTime)\n 234→\n 235→\t_, err := scanJob(q.RunWith(r.stmtCache).QueryRow())\n 236→\tif err != nil && err != sql.ErrNoRows {\n 237→\t\tcclog.Warnf(\"IsJobOwner: unexpected error for jobID=%d, user=%s, cluster=%s: %v\", jobID, user, cluster, err)\n 238→\t}\n 239→\treturn err != sql.ErrNoRows\n 240→}\n 241→\n 242→func (r *JobRepository) FindConcurrentJobs(\n 243→\tctx context.Context,\n 244→\tjob *schema.Job,\n 245→) (*model.JobLinkResultList, error) {\n 246→\tif job == nil {\n 247→\t\treturn nil, nil\n 248→\t}\n 249→\n 250→\tquery, qerr := SecurityCheck(ctx, sq.Select(\"job.id\", \"job.job_id\", \"job.start_time\").From(\"job\"))\n 251→\tif qerr != nil {\n 252→\t\treturn nil, qerr\n 253→\t}\n 254→\n 255→\tquery = query.Where(\"cluster = ?\", job.Cluster)\n 256→\n 257→\tif len(job.Resources) == 0 {\n 258→\t\treturn nil, fmt.Errorf(\"job has no resources defined\")\n 259→\t}\n 260→\n 261→\tvar startTime int64\n 262→\tvar stopTime int64\n 263→\n 264→\tstartTime = job.StartTime\n 265→\thostname := job.Resources[0].Hostname\n 266→\n 267→\tif job.State == schema.JobStateRunning {\n 268→\t\tstopTime = time.Now().Unix()\n 269→\t} else {\n 270→\t\tstopTime = startTime + int64(job.Duration)\n 271→\t}\n 272→\n 273→\t// Time buffer constant for finding overlapping jobs\n 274→\t// overlapBufferEnd: 200s buffer at job end to account for scheduling/cleanup overlap\n 275→\tconst overlapBufferEnd = 200\n 276→\n 277→\tstopTimeTail := stopTime - overlapBufferEnd\n 278→\tstartTimeFront := startTime + overlapBufferEnd\n 279→\n 280→\tqueryRunning := query.Where(\"job.job_state = ?\", \"running\").\n 281→\t\tWhere(\"job.start_time <= ?\", stopTimeTail)\n 282→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 283→\tqueryRunning = queryRunning.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 284→\n 285→\tquery = query.Where(\"job.job_state != ?\", \"running\").\n 286→\t\tWhere(\"job.start_time < ?\", stopTimeTail).\n 287→\t\tWhere(\"(job.start_time + job.duration) > ?\", startTimeFront)\n 288→\t// Get At Least One Exact Hostname Match from JSON Resources Array in Database\n 289→\tquery = query.Where(\"EXISTS (SELECT 1 FROM json_each(job.resources) WHERE json_extract(value, '$.hostname') = ?)\", hostname)\n 290→\n 291→\trows, err := query.RunWith(r.stmtCache).Query()\n 292→\tif err != nil {\n 293→\t\tcclog.Errorf(\"Error while running concurrent jobs query: %v\", err)\n 294→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent jobs query: %w\", err)\n 295→\t}\n 296→\tdefer rows.Close()\n 297→\n 298→\titems := make([]*model.JobLink, 0, 10)\n 299→\tqueryString := fmt.Sprintf(\"cluster=%s\", job.Cluster)\n 300→\n 301→\tfor rows.Next() {\n 302→\t\tvar id, jobID, startTime sql.NullInt64\n 303→\n 304→\t\tif err = rows.Scan(&id, &jobID, &startTime); err != nil {\n 305→\t\t\tcclog.Warnf(\"Error while scanning concurrent job rows: %v\", err)\n 306→\t\t\treturn nil, fmt.Errorf(\"failed to scan concurrent job row: %w\", err)\n 307→\t\t}\n 308→\n 309→\t\tif id.Valid {\n 310→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 311→\t\t\titems = append(items,\n 312→\t\t\t\t&model.JobLink{\n 313→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 314→\t\t\t\t\tJobID: int(jobID.Int64),\n 315→\t\t\t\t})\n 316→\t\t}\n 317→\t}\n 318→\n 319→\trows, err = queryRunning.RunWith(r.stmtCache).Query()\n 320→\tif err != nil {\n 321→\t\tcclog.Errorf(\"Error while running concurrent running jobs query: %v\", err)\n 322→\t\treturn nil, fmt.Errorf(\"failed to execute concurrent running jobs query: %w\", err)\n 323→\t}\n 324→\tdefer rows.Close()\n 325→\n 326→\tfor rows.Next() {\n 327→\t\tvar id, jobID, startTime sql.NullInt64\n 328→\n 329→\t\tif err := rows.Scan(&id, &jobID, &startTime); err != nil {\n 330→\t\t\tcclog.Warnf(\"Error while scanning running concurrent job rows: %v\", err)\n 331→\t\t\treturn nil, fmt.Errorf(\"failed to scan running concurrent job row: %w\", err)\n 332→\t\t}\n 333→\n 334→\t\tif id.Valid {\n 335→\t\t\tqueryString += fmt.Sprintf(\"&jobId=%d\", int(jobID.Int64))\n 336→\t\t\titems = append(items,\n 337→\t\t\t\t&model.JobLink{\n 338→\t\t\t\t\tID: fmt.Sprint(id.Int64),\n 339→\t\t\t\t\tJobID: int(jobID.Int64),\n 340→\t\t\t\t})\n 341→\t\t}\n 342→\t}\n 343→\n 344→\tcnt := len(items)\n 345→\n 346→\treturn &model.JobLinkResultList{\n 347→\t\tListQuery: &queryString,\n 348→\t\tItems: items,\n 349→\t\tCount: &cnt,\n 350→\t}, nil\n 351→}\n 352→"}]},"uuid":"5b596ba1-32f5-456c-9283-84c772345ab6","timestamp":"2026-03-13T14:11:10.005Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"13f7ed9e-592d-4462-899b-045e7a88c3a5","timestamp":"2026-03-13T14:11:10.007Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"c54541fe-b8df-4009-ba27-f3cf101f2e6a","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YSUsYeEVVPftAf54wRbPar","type":"tool_result","content":"96-//\n97-/ The kind parameter enables counting specific job categories:\n98:// - \"running\": Only jobs with job_state = 'running'\n99-/ - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n100-/ - empty: All jobs matching filters\n--\n114-\tswitch kind {\n115-\tcase \"running\":\n116:\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n117-\tcase \"short\":\n118-\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n--\n146-\t\treturn reqFields == nil || reqFields[field]\n147-\t}\n148:\tdurationExpr := fmt.Sprintf(`(CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END)`, now)\n149-\n150-\t// Build column list\n--\n206-\n207-\tif need(\"runningJobs\") {\n208:\t\tcolumns = append(columns, `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`)\n209-\t} else {\n210-\t\tcolumns = append(columns, \"0 as runningJobs\")\n--\n645-\tg, gctx := errgroup.WithContext(ctx)\n646-\n647:\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n648-\n649-\tg.Go(func() error {"}]},"uuid":"c1e34ce6-68a7-4a7c-b470-42aefabf2a56","timestamp":"2026-03-13T14:11:12.366Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"6e7e6f6f-2b8e-4747-b182-f636138220bb","timestamp":"2026-03-13T14:11:12.522Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"d08e6460-130f-4c09-9476-a6dca6dae2e0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014ryNAkGhdtC1MnwpTadLyu","type":"tool_result","content":"199-\tif filter.State != nil {\n200-\t\tif len(filter.State) == 1 {\n201:\t\t\t// Inline literal value so SQLite can match partial indexes (WHERE job_state = 'running').\n202-\t\t\t/ Safe: values come from validated GraphQL enum (model.JobState).\n203-\t\t\tsingleStat := string(filter.State[0])\n204:\t\t\tquery = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))\n205-\t\t} else {\n206-\t\t\tstates := make([]string, len(filter.State))\n--\n208-\t\t\t\tstates[i] = string(val)\n209-\t\t\t}\n210:\t\t\tquery = query.Where(sq.Eq{\"job.job_state\": states})\n211-\t\t}\n212-\t}"}]},"uuid":"19f8f6f8-b48d-4e5c-8b28-ccfd433578b7","timestamp":"2026-03-13T14:11:12.777Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"27e63fd8-d055-4a25-9f3a-b306dfc9dbcc","timestamp":"2026-03-13T14:11:12.947Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"71c682e8-b0ca-459d-a64c-b6eb651c7df9","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D1ZZpevMFkv2QdourhvYiu","type":"tool_result","content":" 650→\t}\n 651→\tcclog.Debugf(\"Timer Partitions %s\", time.Since(start))\n 652→\treturn partitions.([]string), nil\n 653→}\n 654→\n 655→// AllocatedNodes returns a map of all subclusters to a map of hostnames to the amount of jobs running on that host.\n 656→// Hosts with zero jobs running on them will not show up!\n 657→func (r *JobRepository) AllocatedNodes(cluster string) (map[string]map[string]int, error) {\n 658→\tstart := time.Now()\n 659→\tsubclusters := make(map[string]map[string]int)\n 660→\trows, err := sq.Select(\"resources\", \"subcluster\").From(\"job\").\n 661→\t\tWhere(\"job.job_state = 'running'\").\n 662→\t\tWhere(\"job.cluster = ?\", cluster).\n 663→\t\tRunWith(r.stmtCache).Query()\n 664→\tif err != nil {\n 665→\t\tcclog.Errorf(\"Error while running AllocatedNodes query for cluster=%s: %v\", cluster, err)\n 666→\t\treturn nil, fmt.Errorf(\"failed to query allocated nodes for cluster %s: %w\", cluster, err)\n 667→\t}\n 668→\n 669→\tvar raw []byte\n 670→\tdefer rows.Close()\n 671→\tfor rows.Next() {\n 672→\t\traw = raw[0:0]\n 673→\t\tvar resources []*schema.Resource\n 674→\t\tvar subcluster string\n 675→\t\tif err := rows.Scan(&raw, &subcluster); err != nil {\n 676→\t\t\tcclog.Warnf(\"Error while scanning rows in AllocatedNodes: %v\", err)\n 677→\t\t\treturn nil, fmt.Errorf(\"failed to scan allocated nodes row: %w\", err)\n 678→\t\t}\n 679→\t\tif err := json.Unmarshal(raw, &resources); err != nil {\n 680→\t\t\tcclog.Warnf(\"Error while unmarshaling raw resources json in AllocatedNodes: %v\", err)\n 681→\t\t\treturn nil, fmt.Errorf(\"failed to unmarshal resources in AllocatedNodes: %w\", err)\n 682→\t\t}\n 683→\n 684→\t\thosts, ok := subclusters[subcluster]\n 685→\t\tif !ok {\n 686→\t\t\thosts = make(map[string]int)\n 687→\t\t\tsubclusters[subcluster] = hosts\n 688→\t\t}\n 689→\n 690→\t\tfor _, resource := range resources {\n 691→\t\t\thosts[resource.Hostname] += 1\n 692→\t\t}\n 693→\t}\n 694→\n 695→\tcclog.Debugf(\"Timer AllocatedNodes %s\", time.Since(start))\n 696→\treturn subclusters, nil\n 697→}\n 698→\n 699→// StopJobsExceedingWalltimeBy marks running jobs as failed if they exceed their walltime limit.\n 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally 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sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {"}]},"uuid":"a537c474-390f-40dc-8a0c-23c77f2dc65f","timestamp":"2026-03-13T14:11:30.365Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"a05ba4c8-605c-4216-8e7e-ee658720d43a","timestamp":"2026-03-13T14:11:30.559Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} 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+{"parentUuid":"76aafb68-f966-421a-ab8d-7f5131da7e79","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WsidkZ8Zwnh45fE2jsg49t","type":"tool_result","content":" 700→// This is typically called periodically to clean up stuck or orphaned jobs.\n 701→//\n 702→// Jobs are marked with:\n 703→// - monitoring_status: MonitoringStatusArchivingFailed\n 704→// - duration: 0\n 705→// - job_state: JobStateFailed\n 706→//\n 707→// Parameters:\n 708→// - seconds: Grace period beyond walltime before marking as failed\n 709→//\n 710→// Returns an error if the database update fails.\n 711→// Logs the number of jobs marked as failed if any were affected.\n 712→func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {\n 713→\tstart := time.Now()\n 714→\tcurrentTime := time.Now().Unix()\n 715→\tres, err := sq.Update(\"job\").\n 716→\t\tSet(\"monitoring_status\", schema.MonitoringStatusArchivingFailed).\n 717→\t\tSet(\"duration\", 0).\n 718→\t\tSet(\"job_state\", schema.JobStateFailed).\n 719→\t\tWhere(\"job.job_state = 'running'\").\n 720→\t\tWhere(\"job.walltime > 0\").\n 721→\t\tWhere(\"job.start_time < (? - job.walltime)\", currentTime-int64(seconds)).\n 722→\t\tRunWith(r.DB).Exec()\n 723→\tif err != nil {\n 724→\t\tcclog.Warnf(\"Error while stopping jobs exceeding walltime: %v\", err)\n 725→\t\treturn fmt.Errorf(\"failed to stop jobs exceeding walltime: %w\", err)\n 726→\t}\n 727→\n 728→\trowsAffected, err := res.RowsAffected()\n 729→\tif err != nil {\n 730→\t\tcclog.Warnf(\"Error while fetching affected rows after stopping due to exceeded walltime: %v\", err)\n 731→\t\treturn fmt.Errorf(\"failed to get rows affected count: %w\", err)\n 732→\t}\n 733→\n 734→\tif rowsAffected > 0 {\n 735→\t\tcclog.Infof(\"%d jobs have been marked as failed due to running too long\", rowsAffected)\n 736→\t}\n 737→\tcclog.Debugf(\"Timer StopJobsExceedingWalltimeBy %s\", time.Since(start))\n 738→\treturn nil\n 739→}\n 740→\n 741→// FindJobIdsByTag returns all job database IDs associated with a specific tag.\n 742→//\n 743→// Parameters:\n 744→// - tagID: Database ID of the tag to search for\n 745→//\n 746→// Returns a slice of job IDs or an error if the query fails.\n 747→func (r *JobRepository) FindJobIdsByTag(tagID int64) ([]int64, error) {\n 748→\tquery := sq.Select(\"job.id\").From(\"job\").\n 749→\t\tJoin(\"jobtag ON jobtag.job_id = job.id\").\n 750→\t\tWhere(sq.Eq{\"jobtag.tag_id\": tagID}).Distinct()\n 751→\trows, err := query.RunWith(r.stmtCache).Query()\n 752→\tif err != nil {\n 753→\t\tcclog.Errorf(\"Error while running FindJobIdsByTag query for tagID=%d: %v\", tagID, err)\n 754→\t\treturn nil, fmt.Errorf(\"failed to find job IDs by tag %d: %w\", tagID, err)\n 755→\t}\n 756→\tdefer rows.Close()\n 757→\n 758→\tjobIds := make([]int64, 0, 100)\n 759→\n 760→\tfor rows.Next() {\n 761→\t\tvar jobID int64\n 762→\n 763→\t\tif err := rows.Scan(&jobID); err != nil {\n 764→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobIdsByTag: %v\", err)\n 765→\t\t\treturn nil, fmt.Errorf(\"failed to scan job ID in FindJobIdsByTag: %w\", err)\n 766→\t\t}\n 767→\n 768→\t\tjobIds = append(jobIds, jobID)\n 769→\t}\n 770→\n 771→\treturn jobIds, nil\n 772→}\n 773→\n 774→// FindRunningJobs returns all currently running jobs for a specific cluster.\n 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {"}]},"uuid":"ee8da5df-cc13-4034-b4c0-086f87d6f70d","timestamp":"2026-03-13T14:11:30.584Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"ba3c4f26-3e95-4f0f-9c94-86b88127cd50","timestamp":"2026-03-13T14:11:30.770Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"ba3c4f26-3e95-4f0f-9c94-86b88127cd50","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:30.986Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016EzxEsAxyAkYY3CRF3BudW","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":775,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"2ee8932e-e136-4653-9a5a-408e61da6dac"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"9b9a26dc-4c69-4070-915b-bab0588b2ed7","timestamp":"2026-03-13T14:11:30.986Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"9b9a26dc-4c69-4070-915b-bab0588b2ed7","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016EzxEsAxyAkYY3CRF3BudW","type":"tool_result","content":" 775→// Filters out short-running jobs based on repoConfig.MinRunningJobDuration threshold.\n 776→//\n 777→// Parameters:\n 778→// - cluster: Cluster name to filter jobs\n 779→//\n 780→// Returns a slice of running job objects or an error if the query fails.\n 781→func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {\n 782→\tquery := sq.Select(jobColumns...).From(\"job\").\n 783→\t\tWhere(\"job.cluster = ?\", cluster).\n 784→\t\tWhere(\"job.job_state = 'running'\").\n 785→\t\tWhere(\"job.duration > ?\", repoConfig.MinRunningJobDuration)\n 786→\n 787→\trows, err := query.RunWith(r.stmtCache).Query()\n 788→\tif err != nil {\n 789→\t\tcclog.Errorf(\"Error while running FindRunningJobs query for cluster=%s: %v\", cluster, err)\n 790→\t\treturn nil, fmt.Errorf(\"failed to find running jobs for cluster %s: %w\", cluster, err)\n 791→\t}\n 792→\tdefer rows.Close()\n 793→\n 794→\tjobs := make([]*schema.Job, 0, 50)\n 795→\tfor rows.Next() {\n 796→\t\tjob, err := scanJob(rows)\n 797→\t\tif err != nil {\n 798→\t\t\tcclog.Warnf(\"Error while scanning rows in FindRunningJobs: %v\", err)\n 799→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindRunningJobs: %w\", err)\n 800→\t\t}\n 801→\t\tjobs = append(jobs, job)\n 802→\t}\n 803→\n 804→\tcclog.Debugf(\"JobRepository.FindRunningJobs(): Return job count %d (cluster: %s)\", len(jobs), cluster)\n 805→\treturn jobs, nil\n 806→}\n 807→\n 808→// UpdateDuration recalculates and updates the duration field for all running jobs.\n 809→// Called periodically to keep job durations current without querying individual jobs.\n 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {"}]},"uuid":"2366f563-e3f2-42c4-9d48-4282e834f53a","timestamp":"2026-03-13T14:11:31.004Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"2c4e7d36-5198-4631-8626-f08cb8dfca0a","timestamp":"2026-03-13T14:11:31.193Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"2c4e7d36-5198-4631-8626-f08cb8dfca0a","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:31.427Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L5C3J4gfQiFcBcFeRgNAtZ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":810,"limit":70},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"d6ffe93e-d138-4cb4-9d21-a2fcd10c7f89"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"850e46fa-3d6a-4dd5-a2d2-69d800b7f46d","timestamp":"2026-03-13T14:11:31.427Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"850e46fa-3d6a-4dd5-a2d2-69d800b7f46d","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L5C3J4gfQiFcBcFeRgNAtZ","type":"tool_result","content":" 810→//\n 811→// Duration is calculated as: current_time - job.start_time\n 812→//\n 813→// Returns an error if the database update fails.\n 814→func (r *JobRepository) UpdateDuration() error {\n 815→\tstmnt := sq.Update(\"job\").\n 816→\t\tSet(\"duration\", sq.Expr(\"? - job.start_time\", time.Now().Unix())).\n 817→\t\tWhere(\"job_state = 'running'\")\n 818→\n 819→\t_, err := stmnt.RunWith(r.stmtCache).Exec()\n 820→\tif err != nil {\n 821→\t\tcclog.Errorf(\"Error while updating duration for running jobs: %v\", err)\n 822→\t\treturn fmt.Errorf(\"failed to update duration for running jobs: %w\", err)\n 823→\t}\n 824→\n 825→\treturn nil\n 826→}\n 827→\n 828→// FindJobsBetween returns jobs within a specified time range.\n 829→// If startTimeBegin is 0, returns all jobs before startTimeEnd.\n 830→// Optionally excludes tagged jobs from results.\n 831→//\n 832→// Parameters:\n 833→// - startTimeBegin: Unix timestamp for range start (use 0 for unbounded start)\n 834→// - startTimeEnd: Unix timestamp for range end\n 835→// - omitTagged: \"none\" = include all jobs, \"all\" = exclude any tagged jobs,\n 836→// \"user\" = exclude jobs with user-created tags (not auto-tagger types \"app\"/\"jobClass\")\n 837→//\n 838→// Returns a slice of jobs or an error if the time range is invalid or query fails.\n 839→func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64, omitTagged string) ([]*schema.Job, error) {\n 840→\tvar query sq.SelectBuilder\n 841→\n 842→\tif startTimeBegin == startTimeEnd || startTimeBegin > startTimeEnd {\n 843→\t\treturn nil, errors.New(\"startTimeBegin is equal or larger startTimeEnd\")\n 844→\t}\n 845→\n 846→\tif startTimeBegin == 0 {\n 847→\t\tcclog.Infof(\"Find jobs before %d\", startTimeEnd)\n 848→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time < ?\", startTimeEnd)\n 849→\t} else {\n 850→\t\tcclog.Infof(\"Find jobs between %d and %d\", startTimeBegin, startTimeEnd)\n 851→\t\tquery = sq.Select(jobColumns...).From(\"job\").Where(\"job.start_time BETWEEN ? AND ?\", startTimeBegin, startTimeEnd)\n 852→\t}\n 853→\n 854→\tswitch omitTagged {\n 855→\tcase \"all\":\n 856→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag WHERE jobtag.job_id = job.id)\")\n 857→\tcase \"user\":\n 858→\t\tquery = query.Where(\"NOT EXISTS (SELECT 1 FROM jobtag JOIN tag ON tag.id = jobtag.tag_id WHERE jobtag.job_id = job.id AND tag.tag_type NOT IN ('app', 'jobClass'))\")\n 859→\t}\n 860→\n 861→\tquery = query.OrderBy(\"job.cluster ASC\", \"job.subcluster ASC\", \"job.project ASC\", \"job.start_time ASC\")\n 862→\n 863→\trows, err := query.RunWith(r.stmtCache).Query()\n 864→\tif err != nil {\n 865→\t\tcclog.Errorf(\"Error while running FindJobsBetween query: %v\", err)\n 866→\t\treturn nil, fmt.Errorf(\"failed to find jobs between %d and %d: %w\", startTimeBegin, startTimeEnd, err)\n 867→\t}\n 868→\tdefer rows.Close()\n 869→\n 870→\tjobs := make([]*schema.Job, 0, 50)\n 871→\tfor rows.Next() {\n 872→\t\tjob, err := scanJob(rows)\n 873→\t\tif err != nil {\n 874→\t\t\tcclog.Warnf(\"Error while scanning rows in FindJobsBetween: %v\", err)\n 875→\t\t\treturn nil, fmt.Errorf(\"failed to scan job in FindJobsBetween: %w\", err)\n 876→\t\t}\n 877→\t\tjobs = append(jobs, job)\n 878→\t}\n 879→"}]},"uuid":"2ce8a2c7-bb58-43e8-8783-3734a983376e","timestamp":"2026-03-13T14:11:31.433Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"7ef1ae30-b504-4797-9a83-dc5ddfb6d5b2","timestamp":"2026-03-13T14:11:31.434Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"7ef1ae30-b504-4797-9a83-dc5ddfb6d5b2","isSidechain":false,"type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-03-13T14:11:31.602Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_014dWntQKguGty8r7M9bwWcr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SHLuweraH1NnZkZs9RJyoR","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go","offset":1060,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":4,"cache_creation_input_tokens":377,"cache_read_input_tokens":53445,"cache_creation":{"ephemeral_5m_input_tokens":377,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CZ1DQu89fTPJZynurGgpB","uuid":"0f27e56d-9795-4f54-bc99-8889a875b91e"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"b9e03118-b10e-4c53-acd9-bf6e330530a0","timestamp":"2026-03-13T14:11:31.603Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"b9e03118-b10e-4c53-acd9-bf6e330530a0","isSidechain":false,"type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SHLuweraH1NnZkZs9RJyoR","type":"tool_result","content":" 1060→//\n 1061→// The timestamp parameter (ts) is compared against job.start_time to find\n 1062→// relevant jobs. Returns an error if the database query fails or row iteration\n 1063→// encounters errors. Individual row parsing errors are logged but don't fail\n 1064→// the entire operation.\n 1065→func (r *JobRepository) GetUsedNodes(ts int64) (map[string][]string, error) {\n 1066→\t// Note: Query expects index on (job_state, start_time) for optimal performance\n 1067→\tq := sq.Select(\"job.cluster\", \"job.resources\").From(\"job\").\n 1068→\t\tWhere(\"job.start_time < ?\", ts).\n 1069→\t\tWhere(sq.Eq{\"job.job_state\": \"running\"})\n 1070→\n 1071→\trows, err := q.RunWith(r.stmtCache).Query()\n 1072→\tif err != nil {\n 1073→\t\tqueryString, queryVars, _ := q.ToSql()\n 1074→\t\treturn nil, fmt.Errorf(\"query failed [%s] %v: %w\", queryString, queryVars, err)\n 1075→\t}\n 1076→\tdefer rows.Close()\n 1077→\n 1078→\t// Use a map of sets for efficient deduplication\n 1079→\tnodeSet := make(map[string]map[string]struct{})\n 1080→\n 1081→\tvar (\n 1082→\t\tcluster string\n 1083→\t\trawResources []byte\n 1084→\t\tresources []*schema.Resource\n 1085→\t\tskippedRows int\n 1086→\t)\n 1087→\n 1088→\tfor rows.Next() {\n 1089→\t\tif err := rows.Scan(&cluster, &rawResources); err != nil {"}]},"uuid":"90f85031-94bc-4a0f-8bfd-bb4eff8fbea6","timestamp":"2026-03-13T14:11:31.611Z"},"type":"agent_progress","prompt":"","agentId":"a7c36c0986477581c"},"toolUseID":"agent_msg_01LadQ1AxETvXziMrYBqj9ps","parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","uuid":"dc75125c-f284-40fb-bdd1-a3360661db17","timestamp":"2026-03-13T14:11:31.631Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"dc75125c-f284-40fb-bdd1-a3360661db17","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Agent","command":"entire hooks claude-code post-task"},"parentToolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","toolUseID":"toolu_01EDotFfP7XFHmDSwtCzpTYi","timestamp":"2026-03-13T14:11:58.098Z","uuid":"b2eb28ab-8b07-4fac-b449-57cb5a409c8c","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EDotFfP7XFHmDSwtCzpTYi","type":"tool_result","content":[{"type":"text","text":"Perfect! Now I have all the information. Let me compile the comprehensive report:\n\n## Summary of `job_state` SQL Query Usage\n\nI've found **11 occurrences** of `job_state` in WHERE clauses across the repository layer. Here's the complete breakdown:\n\n### 1. **stats.go - Line 116** (buildCountQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:116`\n- **Function**: `buildCountQuery()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses `?` placeholder with \"running\" passed as parameter\n- **Context**: Counts jobs by kind; filters for running jobs when kind=\"running\". Used by AddJobCount, AddJobCountGrouped\n- **Source**: Validated - hardcoded constant \"running\" from switch statement\n\n### 2. **stats.go - Line 148** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:148`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `durationExpr := fmt.Sprintf(\"(CASE WHEN job.job_state = 'running' THEN ...\")`\n- **Parameterization**: NO - hardcoded literal 'running' in string\n- **Context**: Builds dynamic SQL for calculating duration. For running jobs: (now - start_time); for completed: duration field. Used in statistics aggregations\n- **Source**: Validated - hardcoded constant in comparison expression\n\n### 3. **stats.go - Line 208** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:208`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via SELECT clause\n- **Code**: `columns = append(columns, \"COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Counts running jobs as part of statistics aggregation\n- **Source**: Validated - hardcoded constant\n\n### 4. **stats.go - Line 647** (AddHistograms)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:647`\n- **Function**: `AddHistograms()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `value := fmt.Sprintf(\"CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value\"...)`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Duration histogram calculation; same as buildStatsQuery logic for running vs completed jobs\n- **Source**: Validated - hardcoded constant\n\n### 5. **jobQuery.go - Line 204** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:204`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))`\n- **Parameterization**: NO - inlined literal using fmt.Sprintf\n- **Context**: User filter for job state. When single state value requested, inlines for SQLite partial index matching. Comment explicitly notes this is safe because values come from GraphQL enum validation\n- **Source**: Validated - values from `filter.State[0]` which is model.JobState enum (validated GraphQL type)\n- **Security**: Comment at line 201-202 documents this is intentional for partial index optimization\n\n### 6. **jobQuery.go - Line 210** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:210`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `query = query.Where(sq.Eq{\"job.job_state\": states})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholders\n- **Context**: Multiple state filter (IN clause); when filter has multiple state values\n- **Source**: Validated - values from filter.State which is model.JobState enum array\n\n### 7. **jobFind.go - Line 132** (GetJobList)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:132`\n- **Function**: `GetJobList()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state != 'running'\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets list of non-running (completed) jobs for batch processing. Returns paginated IDs\n- **Source**: Validated - hardcoded constant\n\n### 8. **jobFind.go - Line 280** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:280`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `queryRunning := query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds running jobs overlapping with specified job's time range (for concurrent job analysis)\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 9. **jobFind.go - Line 285** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:285`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state != ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds completed jobs (not running) overlapping with specified job's time range\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 10. **job.go - Line 661** (AllocatedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:661`\n- **Function**: `AllocatedNodes()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets all currently allocated nodes across running jobs on a cluster\n- **Source**: Validated - hardcoded constant\n\n### 11. **job.go - Line 719** (StopJobsExceedingWalltimeBy)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:719`\n- **Function**: `StopJobsExceedingWalltimeBy()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Marks stuck/orphaned jobs as failed if they exceed walltime. Filters to only running jobs\n- **Source**: Validated - hardcoded constant\n\n### 12. **job.go - Line 784** (FindRunningJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:784`\n- **Function**: `FindRunningJobs()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Retrieves all running jobs for a cluster, filters by MinRunningJobDuration threshold\n- **Source**: Validated - hardcoded constant\n\n### 13. **job.go - Line 817** (UpdateDuration)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:817`\n- **Function**: `UpdateDuration()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job_state = 'running'\")` (note: missing \"job.\" prefix)\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Updates duration for all running jobs periodically (current_time - start_time)\n- **Source**: Validated - hardcoded constant\n- **Note**: Missing table prefix (\"job.\" is omitted)\n\n### 14. **job.go - Line 1069** (GetUsedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:1069`\n- **Function**: `GetUsedNodes()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `Where(sq.Eq{\"job.job_state\": \"running\"})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholder\n- **Context**: Gets nodes in use for running jobs before a timestamp. Comment notes performance requires index on (job_state, start_time)\n- **Source**: Validated - hardcoded constant \"running\"\n\n---\n\n## Summary Table\n\n| File | Line | Function | Parameterized | Value Source | Filter Type |\n|------|------|----------|----------------|-------------|------------|\n| stats.go | 116 | buildCountQuery | YES (?) | hardcoded \"running\" | Single known value |\n| stats.go | 148 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 208 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 647 | AddHistograms | NO (inlined) | hardcoded 'running' | Single known value |\n| jobQuery.go | 204 | BuildWhereClause | NO (fmt.Sprintf) | GraphQL enum validated | Single known value |\n| jobQuery.go | 210 | BuildWhereClause | YES (sq.Eq) | GraphQL enum validated | Multiple values |\n| jobFind.go | 132 | GetJobList | NO (inlined) | hardcoded 'running' | Single known value |\n| jobFind.go | 280 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| jobFind.go | 285 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| job.go | 661 | AllocatedNodes | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 719 | StopJobsExceedingWalltimeBy | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 784 | FindRunningJobs | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 817 | UpdateDuration | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 1069 | GetUsedNodes | YES (sq.Eq) | hardcoded \"running\" | Single known value |\n\n---\n\n## Key Findings\n\n1. **No user input flows directly into job_state filters** - All values come from either hardcoded constants or validated GraphQL enums\n2. **Mixed parameterization approach** - 5 use parameterized queries (Squirrel with ?), 9 use inlined literals\n3. **Intentional inlining in jobQuery.go:204** - Comment documents this is safe for SQLite partial index optimization\n4. **Consistent \"running\" state usage** - Almost all filters target the hardcoded \"running\" state for specific queries\n5. **One minor issue in job.go:817** - Missing \"job.\" table prefix in UpdateDuration query (though still safe as it's unambiguous)"},{"type":"text","text":"agentId: a7c36c0986477581c (for resuming to continue this agent's work if needed)\ntotal_tokens: 66263\ntool_uses: 17\nduration_ms: 53390"}]}]},"uuid":"eab5e799-0172-4a96-ad80-8a9ebe391648","timestamp":"2026-03-13T14:11:58.097Z","toolUseResult":{"status":"completed","prompt":"Search the codebase for all places where `job_state` or `job.job_state` is used in SQL query construction (not in migration files). I need to find every place where a WHERE clause on job_state is built, whether via squirrel (sq.Where, query.Where) or raw SQL strings. \n\nFor each occurrence, note:\n1. The file and line number\n2. Whether the value is parameterized (using `?` placeholder) or inlined as a literal\n3. The context — what function it's in and what it's used for (e.g., counting running jobs, building stats queries, etc.)\n4. Whether it filters for a single known state value (like 'running') from a validated/hardcoded source, or from user input\n\nFocus on:\n- internal/repository/stats.go\n- internal/repository/jobQuery.go \n- internal/repository/job.go\n- Any other files in internal/repository/\n- internal/graph/ resolvers\n\nDo NOT look at migration SQL files.","agentId":"a7c36c0986477581c","content":[{"type":"text","text":"Perfect! Now I have all the information. Let me compile the comprehensive report:\n\n## Summary of `job_state` SQL Query Usage\n\nI've found **11 occurrences** of `job_state` in WHERE clauses across the repository layer. Here's the complete breakdown:\n\n### 1. **stats.go - Line 116** (buildCountQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:116`\n- **Function**: `buildCountQuery()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses `?` placeholder with \"running\" passed as parameter\n- **Context**: Counts jobs by kind; filters for running jobs when kind=\"running\". Used by AddJobCount, AddJobCountGrouped\n- **Source**: Validated - hardcoded constant \"running\" from switch statement\n\n### 2. **stats.go - Line 148** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:148`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `durationExpr := fmt.Sprintf(\"(CASE WHEN job.job_state = 'running' THEN ...\")`\n- **Parameterization**: NO - hardcoded literal 'running' in string\n- **Context**: Builds dynamic SQL for calculating duration. For running jobs: (now - start_time); for completed: duration field. Used in statistics aggregations\n- **Source**: Validated - hardcoded constant in comparison expression\n\n### 3. **stats.go - Line 208** (buildStatsQuery)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:208`\n- **Function**: `buildStatsQuery()`\n- **SQL Pattern**: Raw SQL string via SELECT clause\n- **Code**: `columns = append(columns, \"COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Counts running jobs as part of statistics aggregation\n- **Source**: Validated - hardcoded constant\n\n### 4. **stats.go - Line 647** (AddHistograms)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go:647`\n- **Function**: `AddHistograms()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `value := fmt.Sprintf(\"CAST(ROUND(((CASE WHEN job.job_state = 'running' THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value\"...)`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Duration histogram calculation; same as buildStatsQuery logic for running vs completed jobs\n- **Source**: Validated - hardcoded constant\n\n### 5. **jobQuery.go - Line 204** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:204`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Raw SQL string via fmt.Sprintf (inlined literal)\n- **Code**: `query = query.Where(fmt.Sprintf(\"job.job_state = '%s'\", singleStat))`\n- **Parameterization**: NO - inlined literal using fmt.Sprintf\n- **Context**: User filter for job state. When single state value requested, inlines for SQLite partial index matching. Comment explicitly notes this is safe because values come from GraphQL enum validation\n- **Source**: Validated - values from `filter.State[0]` which is model.JobState enum (validated GraphQL type)\n- **Security**: Comment at line 201-202 documents this is intentional for partial index optimization\n\n### 6. **jobQuery.go - Line 210** (BuildWhereClause)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobQuery.go:210`\n- **Function**: `BuildWhereClause()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `query = query.Where(sq.Eq{\"job.job_state\": states})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholders\n- **Context**: Multiple state filter (IN clause); when filter has multiple state values\n- **Source**: Validated - values from filter.State which is model.JobState enum array\n\n### 7. **jobFind.go - Line 132** (GetJobList)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:132`\n- **Function**: `GetJobList()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state != 'running'\")`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets list of non-running (completed) jobs for batch processing. Returns paginated IDs\n- **Source**: Validated - hardcoded constant\n\n### 8. **jobFind.go - Line 280** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:280`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `queryRunning := query.Where(\"job.job_state = ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds running jobs overlapping with specified job's time range (for concurrent job analysis)\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 9. **jobFind.go - Line 285** (FindConcurrentJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/jobFind.go:285`\n- **Function**: `FindConcurrentJobs()`\n- **SQL Pattern**: Squirrel with parameterized placeholder\n- **Code**: `query = query.Where(\"job.job_state != ?\", \"running\")`\n- **Parameterization**: YES - uses ? placeholder with \"running\" as parameter\n- **Context**: Finds completed jobs (not running) overlapping with specified job's time range\n- **Source**: Validated - hardcoded constant \"running\"\n\n### 10. **job.go - Line 661** (AllocatedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:661`\n- **Function**: `AllocatedNodes()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Gets all currently allocated nodes across running jobs on a cluster\n- **Source**: Validated - hardcoded constant\n\n### 11. **job.go - Line 719** (StopJobsExceedingWalltimeBy)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:719`\n- **Function**: `StopJobsExceedingWalltimeBy()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Marks stuck/orphaned jobs as failed if they exceed walltime. Filters to only running jobs\n- **Source**: Validated - hardcoded constant\n\n### 12. **job.go - Line 784** (FindRunningJobs)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:784`\n- **Function**: `FindRunningJobs()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job.job_state = 'running'\").`\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Retrieves all running jobs for a cluster, filters by MinRunningJobDuration threshold\n- **Source**: Validated - hardcoded constant\n\n### 13. **job.go - Line 817** (UpdateDuration)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:817`\n- **Function**: `UpdateDuration()`\n- **SQL Pattern**: Raw SQL string (inlined literal)\n- **Code**: `Where(\"job_state = 'running'\")` (note: missing \"job.\" prefix)\n- **Parameterization**: NO - hardcoded literal 'running'\n- **Context**: Updates duration for all running jobs periodically (current_time - start_time)\n- **Source**: Validated - hardcoded constant\n- **Note**: Missing table prefix (\"job.\" is omitted)\n\n### 14. **job.go - Line 1069** (GetUsedNodes)\n- **Location**: `/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/job.go:1069`\n- **Function**: `GetUsedNodes()`\n- **SQL Pattern**: Squirrel sq.Eq\n- **Code**: `Where(sq.Eq{\"job.job_state\": \"running\"})`\n- **Parameterization**: YES - Squirrel parameterizes this with ? placeholder\n- **Context**: Gets nodes in use for running jobs before a timestamp. Comment notes performance requires index on (job_state, start_time)\n- **Source**: Validated - hardcoded constant \"running\"\n\n---\n\n## Summary Table\n\n| File | Line | Function | Parameterized | Value Source | Filter Type |\n|------|------|----------|----------------|-------------|------------|\n| stats.go | 116 | buildCountQuery | YES (?) | hardcoded \"running\" | Single known value |\n| stats.go | 148 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 208 | buildStatsQuery | NO (inlined) | hardcoded 'running' | Single known value |\n| stats.go | 647 | AddHistograms | NO (inlined) | hardcoded 'running' | Single known value |\n| jobQuery.go | 204 | BuildWhereClause | NO (fmt.Sprintf) | GraphQL enum validated | Single known value |\n| jobQuery.go | 210 | BuildWhereClause | YES (sq.Eq) | GraphQL enum validated | Multiple values |\n| jobFind.go | 132 | GetJobList | NO (inlined) | hardcoded 'running' | Single known value |\n| jobFind.go | 280 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| jobFind.go | 285 | FindConcurrentJobs | YES (?) | hardcoded \"running\" | Single known value |\n| job.go | 661 | AllocatedNodes | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 719 | StopJobsExceedingWalltimeBy | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 784 | FindRunningJobs | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 817 | UpdateDuration | NO (inlined) | hardcoded 'running' | Single known value |\n| job.go | 1069 | GetUsedNodes | YES (sq.Eq) | hardcoded \"running\" | Single known value |\n\n---\n\n## Key Findings\n\n1. **No user input flows directly into job_state filters** - All values come from either hardcoded constants or validated GraphQL enums\n2. **Mixed parameterization approach** - 5 use parameterized queries (Squirrel with ?), 9 use inlined literals\n3. **Intentional inlining in jobQuery.go:204** - Comment documents this is safe for SQLite partial index optimization\n4. **Consistent \"running\" state usage** - Almost all filters target the hardcoded \"running\" state for specific queries\n5. **One minor issue in job.go:817** - Missing \"job.\" table prefix in UpdateDuration query (though still safe as it's unambiguous)"}],"totalDurationMs":53390,"totalTokens":66263,"totalToolUseCount":17,"usage":{"input_tokens":5,"cache_creation_input_tokens":9264,"cache_read_input_tokens":53822,"output_tokens":3172,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":9264},"inference_geo":"","iterations":[],"speed":"standard"}},"sourceToolAssistantUUID":"8cbf0c52-c5b0-4c92-a63e-ba22eb7416fd","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"eab5e799-0172-4a96-ad80-8a9ebe391648","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01LunFsBm6KQMnHbRchWL5Qj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016KHumoJ75SUh7X9K1dBwVa","name":"Read","input":{"file_path":"/Users/jan/.claude/plans/recursive-giggling-volcano.md"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3603,"cache_read_input_tokens":96447,"output_tokens":69,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3603},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DTLFJVo71xZC2C7HHC","type":"assistant","uuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","timestamp":"2026-03-13T14:12:02.412Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_016KHumoJ75SUh7X9K1dBwVa","toolUseID":"toolu_016KHumoJ75SUh7X9K1dBwVa","timestamp":"2026-03-13T14:12:02.443Z","uuid":"cd5ff376-d254-40fb-8a96-f6c329a0d77d","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016KHumoJ75SUh7X9K1dBwVa","type":"tool_result","content":" 1→# Usage Dashboard Query Optimization\n 2→\n 3→## Change 1: Partial indexes for running jobs\n 4→\n 5→- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n 6→- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n 7→- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n 8→- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n 9→\n 10→## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n 11→\n 12→- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n 13→- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n 14→- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n 15→\n 16→## Change 3: Parallelize histogram queries\n 17→\n 18→- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n 19→\n 20→## Change 4: Frontend uses consolidated results\n 21→\n 22→- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n 23→\n 24→## Verification\n 25→```bash\n 26→cd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n 27→```\n 28→"}]},"uuid":"c7e28a29-2dbd-47c9-bb33-66828a28b0a1","timestamp":"2026-03-13T14:12:02.442Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.\n\n## Verification\n```bash\ncd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...\n```\n","numLines":28,"startLine":1,"totalLines":28}},"sourceToolAssistantUUID":"1da6cc18-dc56-4b07-a55d-7c7ec3c68593","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"c7e28a29-2dbd-47c9-bb33-66828a28b0a1","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TZ5r3uFwnQk5WH4h6DjiNV","type":"message","role":"assistant","content":[{"type":"text","text":"The exploration found **4 parameterized sites** that filter on a hardcoded `\"running\"` value where inlining could help SQLite use the partial indexes:\n\n| File | Line | Function | Currently |\n|------|------|----------|-----------|\n| `stats.go` | 116 | `buildCountQuery` | `\"job.job_state = ?\", \"running\"` |\n| `jobFind.go` | 280 | `FindConcurrentJobs` | `\"job.job_state = ?\", \"running\"` |\n| `jobFind.go` | 285 | `FindConcurrentJobs` | `\"job.job_state != ?\", \"running\"` |\n| `job.go` | 1069 | `GetUsedNodes` | `sq.Eq{\"job.job_state\": \"running\"}` |\n\nHowever, the benefit is uneven:\n\n- **`stats.go:116` (`buildCountQuery`)** — this is the strongest candidate. It's called by `AddJobCount`/`AddJobCountGrouped` on the dashboard. Inlining here lets SQLite use the partial indexes we just created.\n- **`job.go:1069` (`GetUsedNodes`)** — also queries running jobs, could benefit.\n- **`jobFind.go:280/285` (`FindConcurrentJobs`)** — these query by specific resources/time overlap, so the partial index is less likely to be chosen by the planner (the equality on `job_state` isn't the leading selectivity driver).\n\nThe remaining 8 sites already use inlined literals (`'running'` directly in SQL strings), so they're fine."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4375,"cache_read_input_tokens":96447,"cache_creation":{"ephemeral_5m_input_tokens":4375,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZ1DTd3r1FoaFXoLinP98","type":"assistant","uuid":"b483fbdc-1d1b-4602-9cad-0e2962d9bc73","timestamp":"2026-03-13T14:12:13.883Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"type":"file-history-snapshot","messageId":"973ed897-bf9f-44d8-9d47-1cb82259cfee","snapshot":{"messageId":"161d4ccc-0537-4700-a10d-f7a8534ef7f4","trackedFileBackups":{"internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql":{"backupFileName":"39f0a8ec00eef836@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql":{"backupFileName":"cccfd468ffeeb12d@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/migration.go":{"backupFileName":"19a8f1f6575af1e7@v2","version":2,"backupTime":"2026-03-13T13:31:20.069Z"},"internal/repository/jobQuery.go":{"backupFileName":"c64bb1bbdfcfaab5@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/stats_cache.go":{"backupFileName":"192476250d06317a@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"cmd/cc-backend/server.go":{"backupFileName":"52a9e99169bfa641@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v2","version":2,"backupTime":"2026-03-13T13:31:20.070Z"},"web/frontend/src/status/dashdetails/UsageDash.svelte":{"backupFileName":"0992f74d3d8ab349@v3","version":3,"backupTime":"2026-03-13T14:10:52.135Z"},"/Users/jan/.claude/plans/recursive-giggling-volcano.md":{"backupFileName":"199cf438c5ea258b@v1","version":1,"backupTime":"2026-03-13T14:12:20.753Z"}},"timestamp":"2026-03-13T14:10:52.134Z"},"isSnapshotUpdate":true} +{"parentUuid":"b483fbdc-1d1b-4602-9cad-0e2962d9bc73","isSidechain":false,"message":{"model":"claude-opus-4-6","id":"msg_01TZ5r3uFwnQk5WH4h6DjiNV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PNU1pDvBtV95Wihx8mcR3j","name":"Write","input":{"file_path":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4375,"cache_read_input_tokens":96447,"output_tokens":730,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":4375},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DTd3r1FoaFXoLinP98","type":"assistant","uuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","timestamp":"2026-03-13T14:12:20.734Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","isSidechain":false,"type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01PNU1pDvBtV95Wihx8mcR3j","toolUseID":"toolu_01PNU1pDvBtV95Wihx8mcR3j","timestamp":"2026-03-13T14:12:20.755Z","uuid":"17905a2f-c9b5-42e4-aacd-26361f2d8016","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"973ed897-bf9f-44d8-9d47-1cb82259cfee","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PNU1pDvBtV95Wihx8mcR3j","type":"tool_result","content":"The file /Users/jan/.claude/plans/recursive-giggling-volcano.md has been updated successfully."}]},"uuid":"9ea40fde-6dd4-40db-93fe-93da8108dea8","timestamp":"2026-03-13T14:12:20.755Z","toolUseResult":{"type":"update","filePath":"/Users/jan/.claude/plans/recursive-giggling-volcano.md","content":"# Inline literal job_state in remaining parameterized sites\n\n## Files to change\n\n- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n","structuredPatch":[{"oldStart":1,"oldLines":27,"newStart":1,"newLines":15,"lines":["-# Usage Dashboard Query Optimization","+# Inline literal job_state in remaining parameterized sites"," ","-## Change 1: Partial indexes for running jobs","+## Files to change"," ","-- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).","-- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.","-- **`internal/repository/migration.go:30`** — `Version` 13 → 14.","-- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.","+- **`internal/repository/stats.go:116`** (`buildCountQuery`) — change `query.Where(\"job.job_state = ?\", \"running\")` → `query.Where(\"job.job_state = 'running'\")`. Highest impact: called by dashboard count queries.","+- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries."," ","-## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)","+## Sites intentionally NOT changed"," ","-- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.","-- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.","-- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.","+- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes."," ","-## Change 3: Parallelize histogram queries","-","-- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.","-","-## Change 4: Frontend uses consolidated results","-","-- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. Update template refs.","-"," ## Verification"," ```bash","-cd web/frontend && npm run build && cd ../.. && go build ./... && go test ./internal/repository/...","+go build ./cmd/cc-backend && go test ./internal/repository/..."," ```"]}],"originalFile":"# Usage Dashboard Query Optimization\n\n## Change 1: Partial indexes for running jobs\n\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.up.sql`** — partial covering indexes `WHERE job_state = 'running'` for user/project/subcluster groupings. Only running jobs in B-tree (tiny vs millions).\n- **New `internal/repository/migrations/sqlite3/14_running-partial-indexes.down.sql`** — drop them.\n- **`internal/repository/migration.go:30`** — `Version` 13 → 14.\n- **`internal/repository/jobQuery.go:200-202`** — inline literal state value (`fmt.Sprintf(\"job.job_state = '%s'\", singleStat)`) so SQLite matches partial indexes. Safe: values from validated GraphQL enum.\n\n## Change 2: Request-scoped cache for grouped stats (6 SQL → 2)\n\n- **`internal/graph/stats_cache.go`** (new) — define `statsGroupCache` type (wraps `sync.Map`), context key, `getOrCompute` method using `sync.Once` per cache entry.\n- **`cmd/cc-backend/server.go:87-88`** — add `graphQLServer.AroundOperations` middleware to inject empty cache into context per request.\n- **`internal/graph/schema.resolvers.go:671-678`** — in `JobsStatistics`, when `groupBy != nil`: check cache for (filter+groupBy) key → on miss, call `JobsStatsGrouped` with nil sortBy/page (all results), cache them → sort+slice in Go per caller's sortBy/page.\n\n## Change 3: Parallelize histogram queries\n\n- **`internal/repository/stats.go:643-668`** — replace 4 sequential histogram calls in `AddHistograms` with `errgroup.WithContext`. Import `golang.org/x/sync/errgroup`. Each goroutine writes distinct struct field.\n\n## Change 4: Frontend uses consolidated results\n\n- **`web/frontend/src/status/dashdetails/UsageDash.svelte`** — replace 6-alias topStatsQuery with 2 aliases (USER, PROJECT) requesting all fields, no sort/page. Add 6 `$derived` vars to sort+slice top-10. 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Highest impact: called by dashboard count queries.\n- **`internal/repository/job.go:1069`** (`GetUsedNodes`) — change `sq.Eq{\"job.job_state\": \"running\"}` → `query.Where(\"job.job_state = 'running'\")`. Benefits node allocation queries.\n\n## Sites intentionally NOT changed\n\n- **`jobFind.go:280,285`** (`FindConcurrentJobs`) — equality/inequality on job_state isn't the leading filter here (time overlap + resources dominate), so partial index unlikely to help. Also uses `!=` which doesn't match `WHERE job_state = 'running'` partial indexes.\n\n## Verification\n```bash\ngo build ./cmd/cc-backend && go test ./internal/repository/...\n```\n"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":847,"cache_read_input_tokens":101680,"output_tokens":93,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":847},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZ1DVCivmtJg9s3QZDwFb","type":"assistant","uuid":"57e16369-4d3f-448d-a795-88a884d5bbc0","timestamp":"2026-03-13T14:12:27.819Z","userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"889ef150-c6ca-4f35-81e5-c19dc95fe399","version":"2.1.74","gitBranch":"hotfix","slug":"recursive-giggling-volcano"} +{"parentUuid":"57e16369-4d3f-448d-a795-88a884d5bbc0","isSidechain":false,"promptId":"cef5abc9-1504-479e-870d-845cb284bb17","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"The user doesn't want to proceed with this tool use. 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A typical stats page with grouping (by user/project/cluster) triggers **3 separate full-table-scan + GROUP BY queries** against the job table:\n1. `JobsStatsGrouped` — main aggregation (totalJobs, walltime, node/core/acc hours)\n2. `AddJobCountGrouped(\"short\")` — second full scan for short-running jobs count\n3. `AddJobCountGrouped(\"running\")` — third full scan for running jobs count\n\nEach query independently scans and aggregates every row matching the filter. With millions of jobs, this is prohibitively slow.\n\nAdditional minor inefficiencies:\n- Unnecessary `LEFT JOIN hpc_user` even when grouping by project/cluster/subcluster\n- O(n × bins) loop matching in duration histogram bin assignment (should be O(1) map lookup)\n- `time.Now().Unix()` called multiple times in a single query build\n\n## Critical Files\n\n- `internal/repository/stats.go` — all stats/histogram logic\n- `internal/graph/schema.resolvers.go` — GraphQL resolver that orchestrates query calls (lines 655–711)\n\n## Implementation\n\n### Fix 1: Merge 3 queries into 1 (biggest impact)\n\nModify `buildStatsQuery` to add `runningJobs` and `shortJobs` as inline conditional counts:\n\n```sql\nCOUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs,\nCOUNT(CASE WHEN job.duration < :shortThreshold THEN 1 END) as shortJobs\n```\n\n- `buildStatsQuery(filter, col)` gains a `shortThreshold int` parameter and always returns these two extra columns\n- `JobsStatsGrouped` and `JobsStats` scan the new columns and populate `RunningJobs`/`ShortJobs` on each result\n- In `schema.resolvers.go`, remove the separate `AddJobCountGrouped` / `AddJobCount` calls when the main stats were already fetched (i.e., when `requireField(ctx, \"totalJobs\")` was true)\n- The separate `buildCountQuery` / `JobCountGrouped` / `AddJobCountGrouped` / `AddJobCount` paths are kept for the edge case where ONLY `runningJobs`/`shortJobs` are requested without main stats fields\n\n### Fix 2: Remove unnecessary LEFT JOIN for non-user grouping\n\nIn `buildStatsQuery`, only add `.LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\")` and select `name` when `col == \"job.hpc_user\"`. For project/cluster/subcluster grouping, omit the join and select `'' as name` or remove that column entirely.\n\nThis eliminates a join that always returns NULL for 3 of the 4 grouping dimensions.\n\n### Fix 3: Fix O(n × bins) histogram bin matching\n\nIn `jobsDurationStatisticsHistogram` (stats.go:848–853), replace the inner loop over `points` with a map lookup:\n\n```go\nbinMap := make(map[int]int, len(points))\nfor i, p := range points {\n binMap[p.Value] = i\n}\n// then in rows.Next():\nif idx, ok := binMap[point.Value * binSizeSeconds]; ok {\n points[idx].Count = point.Count\n}\n```\n\nSame fix applies to `jobsMetricStatisticsHistogram` (stats.go:988–993).\n\n### Fix 4: Compute timestamp once per query build\n\nIn `buildStatsQuery`, call `time.Now().Unix()` once at the top of the function and reuse the variable in all 4–5 CASE WHEN expressions. Minor correctness and readability improvement.\n\n## Resolver Change Summary\n\n`schema.resolvers.go` around line 667–681:\n\n```go\n// Before: 3 separate queries\nstats, err = r.Repo.JobsStatsGrouped(...) // query 1\nstats, err = r.Repo.AddJobCountGrouped(..., \"short\") // query 2\nstats, err = r.Repo.AddJobCountGrouped(..., \"running\") // query 3\n\n// After: 1 query (runningJobs/shortJobs already in stats result)\nstats, err = r.Repo.JobsStatsGrouped(...) // query 1 only\n// AddJobCountGrouped calls removed when main stats were fetched\n```\n\n## Verification\n\n1. Build: `go build ./...`\n2. Run existing tests: `go test ./internal/repository/...`\n3. Manual test: start server with `./cc-backend -server -dev`, open the analysis/stats page with a large cluster and verify it loads without timeout\n4. Check debug log output for `Timer JobsStatsGrouped` — should drop significantly (1 query vs 3)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/jan/.claude/projects/-Users-jan-prg-ClusterCockpit-cc-backend/be115332-505c-4b8f-acdf-f8de6ddbed14.jsonl"},"uuid":"6078cd0c-d1f9-49a0-a3c4-553c4bc74d13","timestamp":"2026-03-11T13:38:48.100Z","planContent":"# Plan: Improve Group-By Stats Query Performance\n\n## Context\n\nThe stats endpoint (`JobsStatistics` GraphQL query) times out for large job counts. A typical stats page with grouping (by user/project/cluster) triggers **3 separate full-table-scan + GROUP BY queries** against the job table:\n1. `JobsStatsGrouped` — main aggregation (totalJobs, walltime, node/core/acc hours)\n2. `AddJobCountGrouped(\"short\")` — second full scan for short-running jobs count\n3. `AddJobCountGrouped(\"running\")` — third full scan for running jobs count\n\nEach query independently scans and aggregates every row matching the filter. With millions of jobs, this is prohibitively slow.\n\nAdditional minor inefficiencies:\n- Unnecessary `LEFT JOIN hpc_user` even when grouping by project/cluster/subcluster\n- O(n × bins) loop matching in duration histogram bin assignment (should be O(1) map lookup)\n- `time.Now().Unix()` called multiple times in a single query build\n\n## Critical Files\n\n- `internal/repository/stats.go` — all stats/histogram logic\n- `internal/graph/schema.resolvers.go` — GraphQL resolver that orchestrates query calls (lines 655–711)\n\n## Implementation\n\n### Fix 1: Merge 3 queries into 1 (biggest impact)\n\nModify `buildStatsQuery` to add `runningJobs` and `shortJobs` as inline conditional counts:\n\n```sql\nCOUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs,\nCOUNT(CASE WHEN job.duration < :shortThreshold THEN 1 END) as shortJobs\n```\n\n- `buildStatsQuery(filter, col)` gains a `shortThreshold int` parameter and always returns these two extra columns\n- `JobsStatsGrouped` and `JobsStats` scan the new columns and populate `RunningJobs`/`ShortJobs` on each result\n- In `schema.resolvers.go`, remove the separate `AddJobCountGrouped` / `AddJobCount` calls when the main stats were already fetched (i.e., when `requireField(ctx, \"totalJobs\")` was true)\n- The separate `buildCountQuery` / `JobCountGrouped` / `AddJobCountGrouped` / `AddJobCount` paths are kept for the edge case where ONLY `runningJobs`/`shortJobs` are requested without main stats fields\n\n### Fix 2: Remove unnecessary LEFT JOIN for non-user grouping\n\nIn `buildStatsQuery`, only add `.LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\")` and select `name` when `col == \"job.hpc_user\"`. For project/cluster/subcluster grouping, omit the join and select `'' as name` or remove that column entirely.\n\nThis eliminates a join that always returns NULL for 3 of the 4 grouping dimensions.\n\n### Fix 3: Fix O(n × bins) histogram bin matching\n\nIn `jobsDurationStatisticsHistogram` (stats.go:848–853), replace the inner loop over `points` with a map lookup:\n\n```go\nbinMap := make(map[int]int, len(points))\nfor i, p := range points {\n binMap[p.Value] = i\n}\n// then in rows.Next():\nif idx, ok := binMap[point.Value * binSizeSeconds]; ok {\n points[idx].Count = point.Count\n}\n```\n\nSame fix applies to `jobsMetricStatisticsHistogram` (stats.go:988–993).\n\n### Fix 4: Compute timestamp once per query build\n\nIn `buildStatsQuery`, call `time.Now().Unix()` once at the top of the function and reuse the variable in all 4–5 CASE WHEN expressions. Minor correctness and readability improvement.\n\n## Resolver Change Summary\n\n`schema.resolvers.go` around line 667–681:\n\n```go\n// Before: 3 separate queries\nstats, err = r.Repo.JobsStatsGrouped(...) // query 1\nstats, err = r.Repo.AddJobCountGrouped(..., \"short\") // query 2\nstats, err = r.Repo.AddJobCountGrouped(..., \"running\") // query 3\n\n// After: 1 query (runningJobs/shortJobs already in stats result)\nstats, err = r.Repo.JobsStatsGrouped(...) // query 1 only\n// AddJobCountGrouped calls removed when main stats were fetched\n```\n\n## Verification\n\n1. Build: `go build ./...`\n2. Run existing tests: `go test ./internal/repository/...`\n3. Manual test: start server with `./cc-backend -server -dev`, open the analysis/stats page with a large cluster and verify it loads without timeout\n4. Check debug log output for `Timer JobsStatsGrouped` — should drop significantly (1 query vs 3)\n"} 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NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→// This file contains job statistics and histogram generation functionality for the JobRepository.\n 7→//\n 8→// # Job Statistics\n 9→//\n 10→// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n 11→// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n 12→// - Overall (JobsStats): Single aggregate across all matching jobs\n 13→// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n 14→// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n 15→//\n 16→// All statistics methods support filtering via JobFilter and respect security contexts.\n 17→//\n 18→// # Histograms\n 19→//\n 20→// Histogram methods generate distribution data for visualization:\n 21→// - Duration, nodes, cores, accelerators (AddHistograms)\n 22→// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n 23→//\n 24→// Histograms use intelligent binning:\n 25→// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n 26→// - Resources: Natural value-based bins\n 27→// - Metrics: Normalized to peak values with configurable bin counts\n 28→//\n 29→// # Running vs. Completed Jobs\n 30→//\n 31→// Statistics handle running jobs specially:\n 32→// - Duration calculated as (now - start_time) for running jobs\n 33→// - Metric histograms for running jobs load data from metric backend instead of footprint\n 34→// - Job state filtering distinguishes running/completed jobs\n 35→//\n 36→// # Performance Considerations\n 37→//\n 38→// - All queries use prepared statements via stmtCache\n 39→// - Complex aggregations use SQL for efficiency\n 40→// - Histogram pre-initialization ensures consistent bin ranges\n 41→// - Metric histogram queries limited to 5000 jobs for running job analysis\n 42→\n 43→package repository\n 44→\n 45→import (\n 46→\t\"context\"\n 47→\t\"database/sql\"\n 48→\t\"fmt\"\n 49→\t\"time\"\n 50→\n 51→\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n 52→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 53→\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n 54→\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n 55→\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n 56→\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n 57→\tsq \"github.com/Masterminds/squirrel\"\n 58→)\n 59→\n 60→// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n 61→// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n 62→// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\n 63→var groupBy2column = map[model.Aggregate]string{\n 64→\tmodel.AggregateUser: \"job.hpc_user\",\n 65→\tmodel.AggregateProject: \"job.project\",\n 66→\tmodel.AggregateCluster: \"job.cluster\",\n 67→\tmodel.AggregateSubcluster: \"job.subcluster\",\n 68→}\n 69→\n 70→// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n 71→// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n 72→// Column names match the AS aliases used in buildStatsQuery.\n 73→var sortBy2column = map[model.SortByAggregate]string{\n 74→\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n 75→\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n 76→\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n 77→\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n 78→\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n 79→\tmodel.SortByAggregateTotalcores: \"totalCores\",\n 80→\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n 81→\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n 82→\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n 83→}\n 84→\n 85→// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n 86→//\n 87→// Parameters:\n 88→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 89→// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n 90→// - col: Column name to GROUP BY; empty string for total count without grouping\n 91→//\n 92→// Returns a SelectBuilder that produces either:\n 93→// - Single count: COUNT(job.id) when col is empty\n 94→// - Grouped counts: col, COUNT(job.id) when col is specified\n 95→//\n 96→// The kind parameter enables counting specific job categories:\n 97→// - \"running\": Only jobs with job_state = 'running'\n 98→// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n 99→// - empty: All jobs matching filters\n 100→func (r *JobRepository) buildCountQuery(\n 101→\tfilter []*model.JobFilter,\n 102→\tkind string,\n 103→\tcol string,\n 104→) sq.SelectBuilder {\n 105→\tvar query sq.SelectBuilder\n 106→\n 107→\tif col != \"\" {\n 108→\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n 109→\t} else {\n 110→\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n 111→\t}\n 112→\n 113→\tswitch kind {\n 114→\tcase \"running\":\n 115→\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n 116→\tcase \"short\":\n 117→\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n 118→\t}\n 119→\n 120→\tfor _, f := range filter {\n 121→\t\tquery = BuildWhereClause(f, query)\n 122→\t}\n 123→\n 124→\treturn query\n 125→}\n 126→\n 127→// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n 128→//\n 129→// Parameters:\n 130→// - filter: Job filters to apply (cluster, user, time range, etc.)\n 131→// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n 132→//\n 133→// Returns a SelectBuilder that produces comprehensive statistics:\n 134→// - totalJobs: Count of jobs\n 135→// - totalUsers: Count of distinct users (always 0 when grouping by user)\n 136→// - totalWalltime: Sum of job durations in hours\n 137→// - totalNodes: Sum of nodes used across all jobs\n 138→// - totalNodeHours: Sum of (duration × num_nodes) in hours\n 139→// - totalCores: Sum of hardware threads used across all jobs\n 140→// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n 141→// - totalAccs: Sum of accelerators used across all jobs\n 142→// - totalAccHours: Sum of (duration × num_acc) in hours\n 143→//\n 144→// Special handling:\n 145→// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n 146→// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n 147→// - All time values converted from seconds to hours (÷ 3600) and rounded\n 148→func (r *JobRepository) buildStatsQuery(\n 149→\tfilter []*model.JobFilter,\n 150→\tcol string,\n 151→) sq.SelectBuilder {\n 152→\tvar query sq.SelectBuilder\n 153→\n 154→\tif col != \"\" {\n 155→\t\tquery = sq.Select(\n 156→\t\t\tcol,\n 157→\t\t\t\"name\",\n 158→\t\t\t\"COUNT(job.id) as totalJobs\",\n 159→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 160→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n 161→\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n 162→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n 163→\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n 164→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n 165→\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n 166→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n 167→\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n 168→\t} else {\n 169→\t\tquery = sq.Select(\n 170→\t\t\t\"COUNT(job.id) as totalJobs\",\n 171→\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n 172→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n 173→\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n 174→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n 175→\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n 176→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n 177→\t\t\t`CAST(SUM(job.num_acc) as int)`,\n 178→\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n 179→\t\t).From(\"job\")\n 180→\t}\n 181→\n 182→\tfor _, f := range filter {\n 183→\t\tquery = BuildWhereClause(f, query)\n 184→\t}\n 185→\n 186→\treturn query\n 187→}\n 188→\n 189→// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n 190→//\n 191→// This is the primary method for generating aggregated statistics views in the UI, providing\n 192→// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n 193→//\n 194→// Parameters:\n 195→// - ctx: Context for security checks and cancellation\n 196→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 197→// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n 198→// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n 199→// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n 200→//\n 201→// Returns a slice of JobsStatistics, one per group, with:\n 202→// - ID: The group identifier (username, project name, cluster name, etc.)\n 203→// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n 204→// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n 205→//\n 206→// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n 207→// Performance: Results are sorted in SQL and pagination applied before scanning rows.\n 208→func (r *JobRepository) JobsStatsGrouped(\n 209→\tctx context.Context,\n 210→\tfilter []*model.JobFilter,\n 211→\tpage *model.PageRequest,\n 212→\tsortBy *model.SortByAggregate,\n 213→\tgroupBy *model.Aggregate,\n 214→) ([]*model.JobsStatistics, error) {\n 215→\tstart := time.Now()\n 216→\tcol := groupBy2column[*groupBy]\n 217→\tquery := r.buildStatsQuery(filter, col)\n 218→\n 219→\tquery, err := SecurityCheck(ctx, query)\n 220→\tif err != nil {\n 221→\t\treturn nil, err\n 222→\t}\n 223→\n 224→\tif sortBy != nil {\n 225→\t\tsortBy := sortBy2column[*sortBy]\n 226→\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n 227→\t}\n 228→\tif page != nil && page.ItemsPerPage != -1 {\n 229→\t\tlimit := uint64(page.ItemsPerPage)\n 230→\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n 231→\t}\n 232→\n 233→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 234→\tif err != nil {\n 235→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 236→\t\treturn nil, err\n 237→\t}\n 238→\tdefer rows.Close()\n 239→\n 240→\tstats := make([]*model.JobsStatistics, 0, 100)\n 241→\n 242→\tfor rows.Next() {\n 243→\t\tvar id sql.NullString\n 244→\t\tvar name sql.NullString\n 245→\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 246→\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 247→\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n 248→\t\t\treturn nil, err\n 249→\t\t}\n 250→\n 251→\t\tif id.Valid {\n 252→\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n 253→\t\t\tvar personName string\n 254→\n 255→\t\t\tif name.Valid {\n 256→\t\t\t\tpersonName = name.String\n 257→\t\t\t}\n 258→\n 259→\t\t\tif jobs.Valid {\n 260→\t\t\t\ttotalJobs = int(jobs.Int64)\n 261→\t\t\t}\n 262→\n 263→\t\t\tif users.Valid {\n 264→\t\t\t\ttotalUsers = int(users.Int64)\n 265→\t\t\t}\n 266→\n 267→\t\t\tif walltime.Valid {\n 268→\t\t\t\ttotalWalltime = int(walltime.Int64)\n 269→\t\t\t}\n 270→\n 271→\t\t\tif nodes.Valid {\n 272→\t\t\t\ttotalNodes = int(nodes.Int64)\n 273→\t\t\t}\n 274→\t\t\tif cores.Valid {\n 275→\t\t\t\ttotalCores = int(cores.Int64)\n 276→\t\t\t}\n 277→\t\t\tif accs.Valid {\n 278→\t\t\t\ttotalAccs = int(accs.Int64)\n 279→\t\t\t}\n 280→\n 281→\t\t\tif nodeHours.Valid {\n 282→\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 283→\t\t\t}\n 284→\t\t\tif coreHours.Valid {\n 285→\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n 286→\t\t\t}\n 287→\t\t\tif accHours.Valid {\n 288→\t\t\t\ttotalAccHours = int(accHours.Int64)\n 289→\t\t\t}\n 290→\n 291→\t\t\tif col == \"job.hpc_user\" {\n 292→\t\t\t\t// name := r.getUserName(ctx, id.String)\n 293→\t\t\t\tstats = append(stats,\n 294→\t\t\t\t\t&model.JobsStatistics{\n 295→\t\t\t\t\t\tID: id.String,\n 296→\t\t\t\t\t\tName: personName,\n 297→\t\t\t\t\t\tTotalJobs: totalJobs,\n 298→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 299→\t\t\t\t\t\tTotalNodes: totalNodes,\n 300→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 301→\t\t\t\t\t\tTotalCores: totalCores,\n 302→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 303→\t\t\t\t\t\tTotalAccs: totalAccs,\n 304→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 305→\t\t\t\t\t})\n 306→\t\t\t} else {\n 307→\t\t\t\tstats = append(stats,\n 308→\t\t\t\t\t&model.JobsStatistics{\n 309→\t\t\t\t\t\tID: id.String,\n 310→\t\t\t\t\t\tTotalJobs: totalJobs,\n 311→\t\t\t\t\t\tTotalUsers: totalUsers,\n 312→\t\t\t\t\t\tTotalWalltime: totalWalltime,\n 313→\t\t\t\t\t\tTotalNodes: totalNodes,\n 314→\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n 315→\t\t\t\t\t\tTotalCores: totalCores,\n 316→\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n 317→\t\t\t\t\t\tTotalAccs: totalAccs,\n 318→\t\t\t\t\t\tTotalAccHours: totalAccHours,\n 319→\t\t\t\t\t})\n 320→\t\t\t}\n 321→\t\t}\n 322→\t}\n 323→\n 324→\tif err := rows.Err(); err != nil {\n 325→\t\treturn nil, err\n 326→\t}\n 327→\n 328→\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n 329→\treturn stats, nil\n 330→}\n 331→\n 332→// JobsStats computes overall job statistics across all matching jobs without grouping.\n 333→//\n 334→// This method provides a single aggregate view of job metrics, useful for dashboard\n 335→// summaries and overall system utilization reports.\n 336→//\n 337→// Parameters:\n 338→// - ctx: Context for security checks and cancellation\n 339→// - filter: Filters to apply (time range, cluster, job state, etc.)\n 340→//\n 341→// Returns a single-element slice containing aggregate statistics:\n 342→// - totalJobs, totalUsers, totalWalltime\n 343→// - totalNodeHours, totalCoreHours, totalAccHours\n 344→//\n 345→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 346→// Security checks are applied via SecurityCheck to respect user access levels.\n 347→func (r *JobRepository) JobsStats(\n 348→\tctx context.Context,\n 349→\tfilter []*model.JobFilter,\n 350→) ([]*model.JobsStatistics, error) {\n 351→\tstart := time.Now()\n 352→\tquery := r.buildStatsQuery(filter, \"\")\n 353→\tquery, err := SecurityCheck(ctx, query)\n 354→\tif err != nil {\n 355→\t\treturn nil, err\n 356→\t}\n 357→\n 358→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n 359→\tstats := make([]*model.JobsStatistics, 0, 1)\n 360→\n 361→\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n 362→\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n 363→\t\tcclog.Warn(\"Error while scanning rows\")\n 364→\t\treturn nil, err\n 365→\t}\n 366→\n 367→\tif jobs.Valid {\n 368→\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n 369→\n 370→\t\tif nodeHours.Valid {\n 371→\t\t\ttotalNodeHours = int(nodeHours.Int64)\n 372→\t\t}\n 373→\t\tif coreHours.Valid {\n 374→\t\t\ttotalCoreHours = int(coreHours.Int64)\n 375→\t\t}\n 376→\t\tif accHours.Valid {\n 377→\t\t\ttotalAccHours = int(accHours.Int64)\n 378→\t\t}\n 379→\t\tstats = append(stats,\n 380→\t\t\t&model.JobsStatistics{\n 381→\t\t\t\tTotalJobs: int(jobs.Int64),\n 382→\t\t\t\tTotalUsers: int(users.Int64),\n 383→\t\t\t\tTotalWalltime: int(walltime.Int64),\n 384→\t\t\t\tTotalNodeHours: totalNodeHours,\n 385→\t\t\t\tTotalCoreHours: totalCoreHours,\n 386→\t\t\t\tTotalAccHours: totalAccHours,\n 387→\t\t\t})\n 388→\t}\n 389→\n 390→\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n 391→\treturn stats, nil\n 392→}\n 393→\n 394→// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n 395→// Returns 0.0 if the metric is not found or statType is invalid.\n 396→//\n 397→// Parameters:\n 398→// - job: Job struct with populated Statistics field\n 399→// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n 400→// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n 401→//\n 402→// Returns the requested statistic value or 0.0 if not found.\n 403→func LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n 404→\tif stats, ok := job.Statistics[metric]; ok {\n 405→\t\tswitch statType {\n 406→\t\tcase \"avg\":\n 407→\t\t\treturn stats.Avg\n 408→\t\tcase \"max\":\n 409→\t\t\treturn stats.Max\n 410→\t\tcase \"min\":\n 411→\t\t\treturn stats.Min\n 412→\t\tdefault:\n 413→\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n 414→\t\t}\n 415→\t}\n 416→\n 417→\treturn 0.0\n 418→}\n 419→\n 420→// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n 421→//\n 422→// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n 423→// avoiding the overhead of calculating walltime and resource usage metrics.\n 424→//\n 425→// Parameters:\n 426→// - ctx: Context for security checks\n 427→// - filter: Filters to apply\n 428→// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n 429→//\n 430→// Returns JobsStatistics with only ID and TotalJobs populated for each group.\n 431→func (r *JobRepository) JobCountGrouped(\n 432→\tctx context.Context,\n 433→\tfilter []*model.JobFilter,\n 434→\tgroupBy *model.Aggregate,\n 435→) ([]*model.JobsStatistics, error) {\n 436→\tstart := time.Now()\n 437→\tcol := groupBy2column[*groupBy]\n 438→\tquery := r.buildCountQuery(filter, \"\", col)\n 439→\tquery, err := SecurityCheck(ctx, query)\n 440→\tif err != nil {\n 441→\t\treturn nil, err\n 442→\t}\n 443→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 444→\tif err != nil {\n 445→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 446→\t\treturn nil, err\n 447→\t}\n 448→\tdefer rows.Close()\n 449→\n 450→\tstats := make([]*model.JobsStatistics, 0, 100)\n 451→\n 452→\tfor rows.Next() {\n 453→\t\tvar id sql.NullString\n 454→\t\tvar cnt sql.NullInt64\n 455→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 456→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 457→\t\t\treturn nil, err\n 458→\t\t}\n 459→\t\tif id.Valid {\n 460→\t\t\tstats = append(stats,\n 461→\t\t\t\t&model.JobsStatistics{\n 462→\t\t\t\t\tID: id.String,\n 463→\t\t\t\t\tTotalJobs: int(cnt.Int64),\n 464→\t\t\t\t})\n 465→\t\t}\n 466→\t}\n 467→\n 468→\tif err := rows.Err(); err != nil {\n 469→\t\treturn nil, err\n 470→\t}\n 471→\n 472→\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n 473→\treturn stats, nil\n 474→}\n 475→\n 476→// AddJobCountGrouped augments existing statistics with additional job counts by category.\n 477→//\n 478→// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n 479→// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n 480→//\n 481→// Parameters:\n 482→// - ctx: Context for security checks\n 483→// - filter: Filters to apply\n 484→// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n 485→// - stats: Existing statistics to augment (modified in-place by ID matching)\n 486→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 487→//\n 488→// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n 489→// Groups without matching jobs will have 0 for the added field.\n 490→func (r *JobRepository) AddJobCountGrouped(\n 491→\tctx context.Context,\n 492→\tfilter []*model.JobFilter,\n 493→\tgroupBy *model.Aggregate,\n 494→\tstats []*model.JobsStatistics,\n 495→\tkind string,\n 496→) ([]*model.JobsStatistics, error) {\n 497→\tstart := time.Now()\n 498→\tcol := groupBy2column[*groupBy]\n 499→\tquery := r.buildCountQuery(filter, kind, col)\n 500→\tquery, err := SecurityCheck(ctx, query)\n 501→\tif err != nil {\n 502→\t\treturn nil, err\n 503→\t}\n 504→\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n 505→\tif err != nil {\n 506→\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n 507→\t\treturn nil, err\n 508→\t}\n 509→\tdefer rows.Close()\n 510→\n 511→\tcounts := make(map[string]int)\n 512→\n 513→\tfor rows.Next() {\n 514→\t\tvar id sql.NullString\n 515→\t\tvar cnt sql.NullInt64\n 516→\t\tif err := rows.Scan(&id, &cnt); err != nil {\n 517→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 518→\t\t\treturn nil, err\n 519→\t\t}\n 520→\t\tif id.Valid {\n 521→\t\t\tcounts[id.String] = int(cnt.Int64)\n 522→\t\t}\n 523→\t}\n 524→\n 525→\tif err := rows.Err(); err != nil {\n 526→\t\treturn nil, err\n 527→\t}\n 528→\n 529→\tswitch kind {\n 530→\tcase \"running\":\n 531→\t\tfor _, s := range stats {\n 532→\t\t\ts.RunningJobs = counts[s.ID]\n 533→\t\t}\n 534→\tcase \"short\":\n 535→\t\tfor _, s := range stats {\n 536→\t\t\ts.ShortJobs = counts[s.ID]\n 537→\t\t}\n 538→\t}\n 539→\n 540→\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n 541→\treturn stats, nil\n 542→}\n 543→\n 544→// AddJobCount augments existing overall statistics with additional job counts by category.\n 545→//\n 546→// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n 547→// to all statistics entries (typically just one).\n 548→//\n 549→// Parameters:\n 550→// - ctx: Context for security checks\n 551→// - filter: Filters to apply\n 552→// - stats: Existing statistics to augment (modified in-place)\n 553→// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n 554→//\n 555→// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\n 556→func (r *JobRepository) AddJobCount(\n 557→\tctx context.Context,\n 558→\tfilter []*model.JobFilter,\n 559→\tstats []*model.JobsStatistics,\n 560→\tkind string,\n 561→) ([]*model.JobsStatistics, error) {\n 562→\tstart := time.Now()\n 563→\tquery := r.buildCountQuery(filter, kind, \"\")\n 564→\tquery, err := SecurityCheck(ctx, query)\n 565→\tif err != nil {\n 566→\t\treturn nil, err\n 567→\t}\n 568→\tvar cnt sql.NullInt64\n 569→\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n 570→\t\tcclog.Warn(\"Error while querying DB for job count\")\n 571→\t\treturn nil, err\n 572→\t}\n 573→\n 574→\tcount := int(cnt.Int64)\n 575→\n 576→\tswitch kind {\n 577→\tcase \"running\":\n 578→\t\tfor _, s := range stats {\n 579→\t\t\ts.RunningJobs = count\n 580→\t\t}\n 581→\tcase \"short\":\n 582→\t\tfor _, s := range stats {\n 583→\t\t\ts.ShortJobs = count\n 584→\t\t}\n 585→\t}\n 586→\n 587→\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n 588→\treturn stats, nil\n 589→}\n 590→\n 591→// AddHistograms augments statistics with distribution histograms for job properties.\n 592→//\n 593→// Generates histogram data for visualization of job duration, node count, core count,\n 594→// and accelerator count distributions. Duration histogram uses intelligent binning based\n 595→// on the requested resolution.\n 596→//\n 597→// Parameters:\n 598→// - ctx: Context for security checks\n 599→// - filter: Filters to apply to jobs included in histograms\n 600→// - stat: Statistics struct to augment (modified in-place)\n 601→// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n 602→//\n 603→// Populates these fields in stat:\n 604→// - HistDuration: Job duration distribution (zero-padded bins)\n 605→// - HistNumNodes: Node count distribution\n 606→// - HistNumCores: Core (hwthread) count distribution\n 607→// - HistNumAccs: Accelerator count distribution\n 608→//\n 609→// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n 610→// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\n 611→func (r *JobRepository) AddHistograms(\n 612→\tctx context.Context,\n 613→\tfilter []*model.JobFilter,\n 614→\tstat *model.JobsStatistics,\n 615→\tdurationBins *string,\n 616→) (*model.JobsStatistics, error) {\n 617→\tstart := time.Now()\n 618→\n 619→\tvar targetBinCount int\n 620→\tvar targetBinSize int\n 621→\tswitch *durationBins {\n 622→\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n 623→\t\ttargetBinCount = 60\n 624→\t\ttargetBinSize = 60\n 625→\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n 626→\t\ttargetBinCount = 72\n 627→\t\ttargetBinSize = 600\n 628→\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n 629→\t\ttargetBinCount = 48\n 630→\t\ttargetBinSize = 3600\n 631→\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n 632→\t\ttargetBinCount = 12\n 633→\t\ttargetBinSize = 21600\n 634→\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n 635→\t\ttargetBinCount = 14\n 636→\t\ttargetBinSize = 43200\n 637→\tdefault: // 24h\n 638→\t\ttargetBinCount = 24\n 639→\t\ttargetBinSize = 3600\n 640→\t}\n 641→\n 642→\tvar err error\n 643→\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n 644→\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n 645→\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n 646→\tif err != nil {\n 647→\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n 648→\t\treturn nil, err\n 649→\t}\n 650→\n 651→\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n 652→\tif err != nil {\n 653→\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n 654→\t\treturn nil, err\n 655→\t}\n 656→\n 657→\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n 658→\tif err != nil {\n 659→\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n 660→\t\treturn nil, err\n 661→\t}\n 662→\n 663→\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n 664→\tif err != nil {\n 665→\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n 666→\t\treturn nil, err\n 667→\t}\n 668→\n 669→\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n 670→\treturn stat, nil\n 671→}\n 672→\n 673→// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n 674→//\n 675→// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n 676→// and completed jobs differently: running jobs load data from metric backend, completed jobs\n 677→// use footprint data from database.\n 678→//\n 679→// Parameters:\n 680→// - ctx: Context for security checks\n 681→// - filter: Filters to apply (MUST contain State filter for running jobs)\n 682→// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n 683→// - stat: Statistics struct to augment (modified in-place)\n 684→// - targetBinCount: Number of histogram bins (default: 10)\n 685→//\n 686→// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n 687→//\n 688→// Binning algorithm:\n 689→// - Values normalized to metric's peak value from cluster configuration\n 690→// - Bins evenly distributed from 0 to peak\n 691→// - Pre-initialized with zeros for consistent visualization\n 692→//\n 693→// Limitations:\n 694→// - Running jobs: Limited to 5000 jobs for performance\n 695→// - Requires valid cluster configuration with metric peak values\n 696→// - Uses footprint statistic (avg/max/min) configured per metric\n 697→func (r *JobRepository) AddMetricHistograms(\n 698→\tctx context.Context,\n 699→\tfilter []*model.JobFilter,\n 700→\tmetrics []string,\n 701→\tstat *model.JobsStatistics,\n 702→\ttargetBinCount *int,\n 703→) (*model.JobsStatistics, error) {\n 704→\tstart := time.Now()\n 705→\n 706→\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n 707→\tfor _, f := range filter {\n 708→\t\tif f.State != nil {\n 709→\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n 710→\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n 711→\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 712→\t\t\t\treturn stat, nil\n 713→\t\t\t}\n 714→\t\t}\n 715→\t}\n 716→\n 717→\t// All other cases: Query and make bins in sqlite directly\n 718→\tfor _, m := range metrics {\n 719→\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n 720→\t\tif err != nil {\n 721→\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n 722→\t\t\tcontinue\n 723→\t\t}\n 724→\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n 725→\t}\n 726→\n 727→\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n 728→\treturn stat, nil\n 729→}\n 730→\n 731→// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n 732→//\n 733→// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n 734→// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n 735→//\n 736→// Parameters:\n 737→// - value: SQL expression that produces the histogram value, aliased as \"value\"\n 738→// - filters: Job filters to apply\n 739→//\n 740→// Returns histogram points with Value (from column) and Count (number of jobs).\n 741→func (r *JobRepository) jobsStatisticsHistogram(\n 742→\tctx context.Context,\n 743→\tvalue string,\n 744→\tfilters []*model.JobFilter,\n 745→) ([]*model.HistoPoint, error) {\n 746→\tstart := time.Now()\n 747→\tquery, qerr := SecurityCheck(ctx,\n 748→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 749→\n 750→\tif qerr != nil {\n 751→\t\treturn nil, qerr\n 752→\t}\n 753→\n 754→\tfor _, f := range filters {\n 755→\t\tquery = BuildWhereClause(f, query)\n 756→\t}\n 757→\n 758→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 759→\tif err != nil {\n 760→\t\tcclog.Error(\"Error while running query\")\n 761→\t\treturn nil, err\n 762→\t}\n 763→\tdefer rows.Close()\n 764→\n 765→\tpoints := make([]*model.HistoPoint, 0)\n 766→\t// is it possible to introduce zero values here? requires info about bincount\n 767→\tfor rows.Next() {\n 768→\t\tpoint := model.HistoPoint{}\n 769→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 770→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 771→\t\t\treturn nil, err\n 772→\t\t}\n 773→\n 774→\t\tpoints = append(points, &point)\n 775→\t}\n 776→\n 777→\tif err := rows.Err(); err != nil {\n 778→\t\treturn nil, err\n 779→\t}\n 780→\n 781→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 782→\treturn points, nil\n 783→}\n 784→\n 785→// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n 786→//\n 787→// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n 788→// histograms which only return bins with data. The value parameter should compute\n 789→// the bin number from job duration.\n 790→//\n 791→// Parameters:\n 792→// - value: SQL expression computing bin number from duration, aliased as \"value\"\n 793→// - filters: Job filters to apply\n 794→// - binSizeSeconds: Width of each bin in seconds\n 795→// - targetBinCount: Number of bins to pre-initialize\n 796→//\n 797→// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n 798→// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n 799→//\n 800→// Algorithm:\n 801→// 1. Pre-initialize targetBinCount bins with zero counts\n 802→// 2. Query database for actual counts per bin\n 803→// 3. Match query results to pre-initialized bins by value\n 804→// 4. Bins without matches remain at zero\n 805→func (r *JobRepository) jobsDurationStatisticsHistogram(\n 806→\tctx context.Context,\n 807→\tvalue string,\n 808→\tfilters []*model.JobFilter,\n 809→\tbinSizeSeconds int,\n 810→\ttargetBinCount *int,\n 811→) ([]*model.HistoPoint, error) {\n 812→\tstart := time.Now()\n 813→\tquery, qerr := SecurityCheck(ctx,\n 814→\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n 815→\n 816→\tif qerr != nil {\n 817→\t\treturn nil, qerr\n 818→\t}\n 819→\n 820→\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n 821→\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n 822→\tpoints := make([]*model.HistoPoint, 0)\n 823→\tfor i := 1; i <= *targetBinCount; i++ {\n 824→\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n 825→\t\tpoints = append(points, &point)\n 826→\t}\n 827→\n 828→\tfor _, f := range filters {\n 829→\t\tquery = BuildWhereClause(f, query)\n 830→\t}\n 831→\n 832→\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n 833→\tif err != nil {\n 834→\t\tcclog.Error(\"Error while running query\")\n 835→\t\treturn nil, err\n 836→\t}\n 837→\tdefer rows.Close()\n 838→\n 839→\t// Match query results to pre-initialized bins.\n 840→\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n 841→\tfor rows.Next() {\n 842→\t\tpoint := model.HistoPoint{}\n 843→\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n 844→\t\t\tcclog.Warn(\"Error while scanning rows\")\n 845→\t\t\treturn nil, err\n 846→\t\t}\n 847→\n 848→\t\tfor _, e := range points {\n 849→\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n 850→\t\t\t\te.Count = point.Count\n 851→\t\t\t\tbreak\n 852→\t\t\t}\n 853→\t\t}\n 854→\t}\n 855→\n 856→\tif err := rows.Err(); err != nil {\n 857→\t\treturn nil, err\n 858→\t}\n 859→\n 860→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 861→\treturn points, nil\n 862→}\n 863→\n 864→// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n 865→//\n 866→// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n 867→// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n 868→// and computing bin assignments in SQL.\n 869→//\n 870→// Parameters:\n 871→// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n 872→// - filters: Job filters to apply\n 873→// - bins: Number of bins to generate\n 874→//\n 875→// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n 876→//\n 877→// Algorithm:\n 878→// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n 879→// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n 880→// 3. Pre-initialize bins with min/max ranges based on peak value\n 881→// 4. Query database for counts per bin\n 882→// 5. Match results to pre-initialized bins\n 883→//\n 884→// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n 885→// peak by 0.999999999 to avoid creating an extra bin.\n 886→func (r *JobRepository) jobsMetricStatisticsHistogram(\n 887→\tctx context.Context,\n 888→\tmetric string,\n 889→\tfilters []*model.JobFilter,\n 890→\tbins *int,\n 891→) (*model.MetricHistoPoints, error) {\n 892→\t// Peak value defines the upper bound for binning: values are distributed across\n 893→\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n 894→\t// scan all clusters to find the maximum peak value.\n 895→\tvar metricConfig *schema.MetricConfig\n 896→\tvar peak float64\n 897→\tvar unit string\n 898→\tvar footprintStat string\n 899→\n 900→\t// Try to get metric config from filtered cluster\n 901→\tfor _, f := range filters {\n 902→\t\tif f.Cluster != nil {\n 903→\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 904→\t\t\tpeak = metricConfig.Peak\n 905→\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 906→\t\t\tfootprintStat = metricConfig.Footprint\n 907→\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n 908→\t\t}\n 909→\t}\n 910→\n 911→\t// If no cluster filter or peak not found, find largest peak across all clusters\n 912→\t// This ensures histogram can accommodate all possible values\n 913→\tif peak == 0.0 {\n 914→\t\tfor _, c := range archive.Clusters {\n 915→\t\t\tfor _, m := range c.MetricConfig {\n 916→\t\t\t\tif m.Name == metric {\n 917→\t\t\t\t\tif m.Peak > peak {\n 918→\t\t\t\t\t\tpeak = m.Peak\n 919→\t\t\t\t\t}\n 920→\t\t\t\t\tif unit == \"\" {\n 921→\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 922→\t\t\t\t\t}\n 923→\t\t\t\t\tif footprintStat == \"\" {\n 924→\t\t\t\t\t\tfootprintStat = m.Footprint\n 925→\t\t\t\t\t}\n 926→\t\t\t\t}\n 927→\t\t\t}\n 928→\t\t}\n 929→\t}\n 930→\n 931→\t// Construct SQL histogram bins using normalized values.\n 932→\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n 933→\tstart := time.Now()\n 934→\n 935→\t// Bin calculation formula:\n 936→\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n 937→\t// Special case: value == peak would create bin N+1, so we test for equality\n 938→\t// and multiply peak by 0.999999999 to force it into bin N.\n 939→\tbinQuery := fmt.Sprintf(`CAST(\n 940→\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n 941→\t\t* %v as INTEGER )`,\n 942→\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n 943→\n 944→\tmainQuery := sq.Select(\n 945→\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n 946→\t\t`count(*) as count`,\n 947→\t).From(\"job\").Where(\n 948→\t\t\"JSON_VALID(footprint)\",\n 949→\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n 950→\n 951→\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n 952→\tif qerr != nil {\n 953→\t\treturn nil, qerr\n 954→\t}\n 955→\n 956→\tfor _, f := range filters {\n 957→\t\tmainQuery = BuildWhereClause(f, mainQuery)\n 958→\t}\n 959→\n 960→\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n 961→\n 962→\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n 963→\tif err != nil {\n 964→\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n 965→\t\treturn nil, err\n 966→\t}\n 967→\tdefer rows.Close()\n 968→\n 969→\t// Pre-initialize bins with calculated min/max ranges.\n 970→\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n 971→\tpoints := make([]*model.MetricHistoPoint, 0)\n 972→\tbinStep := int(peak) / *bins\n 973→\tfor i := 1; i <= *bins; i++ {\n 974→\t\tbinMin := (binStep * (i - 1))\n 975→\t\tbinMax := (binStep * i)\n 976→\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n 977→\t\tpoints = append(points, &epoint)\n 978→\t}\n 979→\n 980→\t// Match query results to pre-initialized bins.\n 981→\tfor rows.Next() {\n 982→\t\trpoint := model.MetricHistoPoint{}\n 983→\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n 984→\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n 985→\t\t\treturn nil, err\n 986→\t\t}\n 987→\n 988→\t\tfor _, e := range points {\n 989→\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n 990→\t\t\t\te.Count = rpoint.Count\n 991→\t\t\t\tbreak\n 992→\t\t\t}\n 993→\t\t}\n 994→\t}\n 995→\n 996→\tif err := rows.Err(); err != nil {\n 997→\t\treturn nil, err\n 998→\t}\n 999→\n 1000→\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n 1001→\n 1002→\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n 1003→\treturn &result, nil\n 1004→}\n 1005→\n 1006→// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n 1007→//\n 1008→// Unlike completed jobs which use footprint data from the database, running jobs require\n 1009→// fetching current metric averages from the metric backend (via metricdispatch).\n 1010→//\n 1011→// Parameters:\n 1012→// - metrics: List of metric names\n 1013→// - filters: Job filters (should filter to running jobs only)\n 1014→// - bins: Number of histogram bins\n 1015→//\n 1016→// Returns slice of MetricHistoPoints, one per metric.\n 1017→//\n 1018→// Limitations:\n 1019→// - Maximum 5000 jobs (returns nil if more jobs match)\n 1020→// - Requires metric backend availability\n 1021→// - Bins based on metric peak values from cluster configuration\n 1022→//\n 1023→// Algorithm:\n 1024→// 1. Query first 5001 jobs to check count limit\n 1025→// 2. Load metric averages for all jobs via metricdispatch\n 1026→// 3. For each metric, create bins based on peak value\n 1027→// 4. Iterate averages and count jobs per bin\n 1028→func (r *JobRepository) runningJobsMetricStatisticsHistogram(\n 1029→\tctx context.Context,\n 1030→\tmetrics []string,\n 1031→\tfilters []*model.JobFilter,\n 1032→\tbins *int,\n 1033→) []*model.MetricHistoPoints {\n 1034→\t// Get Jobs\n 1035→\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n 1036→\tif err != nil {\n 1037→\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n 1038→\t\treturn nil\n 1039→\t}\n 1040→\tif len(jobs) > 5000 {\n 1041→\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n 1042→\t\treturn nil\n 1043→\t}\n 1044→\n 1045→\t// Get AVGs from metric repo\n 1046→\tavgs := make([][]schema.Float, len(metrics))\n 1047→\tfor i := range avgs {\n 1048→\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n 1049→\t}\n 1050→\n 1051→\tfor _, job := range jobs {\n 1052→\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n 1053→\t\t\tcontinue\n 1054→\t\t}\n 1055→\n 1056→\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n 1057→\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n 1058→\t\t\treturn nil\n 1059→\t\t}\n 1060→\t}\n 1061→\n 1062→\t// Iterate metrics to fill endresult\n 1063→\tdata := make([]*model.MetricHistoPoints, 0)\n 1064→\tfor idx, metric := range metrics {\n 1065→\t\t// Get specific Peak or largest Peak\n 1066→\t\tvar metricConfig *schema.MetricConfig\n 1067→\t\tvar peak float64\n 1068→\t\tvar unit string\n 1069→\n 1070→\t\tfor _, f := range filters {\n 1071→\t\t\tif f.Cluster != nil {\n 1072→\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n 1073→\t\t\t\tpeak = metricConfig.Peak\n 1074→\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n 1075→\t\t\t}\n 1076→\t\t}\n 1077→\n 1078→\t\tif peak == 0.0 {\n 1079→\t\t\tfor _, c := range archive.Clusters {\n 1080→\t\t\t\tfor _, m := range c.MetricConfig {\n 1081→\t\t\t\t\tif m.Name == metric {\n 1082→\t\t\t\t\t\tif m.Peak > peak {\n 1083→\t\t\t\t\t\t\tpeak = m.Peak\n 1084→\t\t\t\t\t\t}\n 1085→\t\t\t\t\t\tif unit == \"\" {\n 1086→\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n 1087→\t\t\t\t\t\t}\n 1088→\t\t\t\t\t}\n 1089→\t\t\t\t}\n 1090→\t\t\t}\n 1091→\t\t}\n 1092→\n 1093→\t\t// Make and fill bins\n 1094→\t\tpeakBin := int(peak) / *bins\n 1095→\n 1096→\t\tpoints := make([]*model.MetricHistoPoint, 0)\n 1097→\t\tfor b := 0; b < *bins; b++ {\n 1098→\t\t\tcount := 0\n 1099→\t\t\tbindex := b + 1\n 1100→\t\t\tbmin := peakBin * b\n 1101→\t\t\tbmax := peakBin * (b + 1)\n 1102→\n 1103→\t\t\t// Iterate AVG values for indexed metric and count for bins\n 1104→\t\t\tfor _, val := range avgs[idx] {\n 1105→\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n 1106→\t\t\t\t\tcount += 1\n 1107→\t\t\t\t}\n 1108→\t\t\t}\n 1109→\n 1110→\t\t\t// Append Bin to Metric Result Array\n 1111→\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n 1112→\t\t\tpoints = append(points, &point)\n 1113→\t\t}\n 1114→\n 1115→\t\t// Append Metric Result Array to final results array\n 1116→\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n 1117→\t\tdata = append(data, &result)\n 1118→\t}\n 1119→\n 1120→\treturn data\n 1121→}\n 1122→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"59b4aa7e-acd9-4b89-b74a-0b94e111b930","timestamp":"2026-03-11T13:38:58.246Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","numLines":1122,"startLine":1,"totalLines":1122}},"sourceToolAssistantUUID":"8a467d4d-173b-4734-9903-3b0f5eefcf7d"} 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len(nextJobs) == 1\n 641→\t}\n 642→\n 643→\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n 644→}\n 645→\n 646→// JobsStatistics is the resolver for the jobsStatistics field.\n 647→func (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n 648→\tvar err error\n 649→\tvar stats []*model.JobsStatistics\n 650→\n 651→\t// Top Level Defaults\n 652→\tdefaultDurationBins := \"1h\"\n 653→\tdefaultMetricBins := 10\n 654→\n 655→\tif requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||\n 656→\t\trequireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\") {\n 657→\t\tif groupBy == nil {\n 658→\t\t\tstats, err = r.Repo.JobsStats(ctx, filter)\n 659→\t\t} else {\n 660→\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy)\n 661→\t\t}\n 662→\t} else {\n 663→\t\tstats = make([]*model.JobsStatistics, 0, 1)\n 664→\t\tstats = append(stats, &model.JobsStatistics{})\n 665→\t}\n 666→\n 667→\tif groupBy != nil {\n 668→\t\tif requireField(ctx, \"shortJobs\") {\n 669→\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n 670→\t\t}\n 671→\t\tif requireField(ctx, \"runningJobs\") {\n 672→\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n 673→\t\t}\n 674→\t} else {\n 675→\t\tif requireField(ctx, \"shortJobs\") {\n 676→\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n 677→\t\t}\n 678→\t\tif requireField(ctx, \"runningJobs\") {\n 679→\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n 680→\t\t}\n 681→\t}\n 682→\n 683→\tif err != nil {\n 684→\t\treturn nil, err\n 685→\t}\n 686→\n 687→\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n 688→\n 689→\t\tif numDurationBins == nil {\n 690→\t\t\tnumDurationBins = &defaultDurationBins\n 691→\t\t}\n 692→\n 693→\t\tif groupBy == nil {\n 694→\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n 695→\t\t\tif err != nil {\n 696→\t\t\t\treturn nil, err\n 697→\t\t\t}\n 698→\t\t} else {\n 699→\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n 700→\t\t}\n 701→\t}\n 702→\n 703→\tif requireField(ctx, \"histMetrics\") {\n 704→\n 705→\t\tif numMetricBins == nil {\n 706→\t\t\tnumMetricBins = &defaultMetricBins\n 707→\t\t}\n 708→\n 709→\t\tif groupBy == nil {\n 710→\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n 711→\t\t\tif err != nil {\n 712→\t\t\t\treturn nil, err\n 713→\t\t\t}\n 714→\t\t} else {\n 715→\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n 716→\t\t}\n 717→\t}\n 718→\n 719→\treturn stats, nil\n 720→}\n 721→\n 722→// JobsMetricStats is the resolver for the jobsMetricStats field.\n 723→func (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n 724→\t// No Paging, Fixed Order by StartTime ASC\n 725→\torder := &model.OrderByInput{\n 726→\t\tField: \"startTime\",\n 727→\t\tType: \"col\",\n 728→\t\tOrder: \"ASC\",\n 729→\t}\n 730→\n 731→\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n 732→\tif err != nil {\n 733→\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n 734→\t\treturn nil, err\n 735→\t}\n 736→\n 737→\tres := []*model.JobStats{}\n 738→\tfor _, job := range jobs {\n 739→\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"5d917c1e-c946-4054-b4f7-8fb8a45116b0","timestamp":"2026-03-11T13:38:58.675Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","content":"\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\tif requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||\n\t\trequireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\") {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter)\n\t\t} else {\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy)\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\tif groupBy != nil {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t}\n\t} else {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)","numLines":100,"startLine":640,"totalLines":1041}},"sourceToolAssistantUUID":"86583df4-d48b-41c8-b221-77b9d4794c80"} 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Now I have everything I need. Let me implement all four fixes:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4231,"cache_read_input_tokens":29873,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":4231},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPPZxMSowr7B4rTeV4p","type":"assistant","uuid":"7f0c0e66-8092-47d9-9816-9e8de42108de","timestamp":"2026-03-11T13:39:55.475Z"} +{"parentUuid":"7f0c0e66-8092-47d9-9816-9e8de42108de","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01R6M1srv8sSUGdNL36HJcPN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BmDzkbWGPbgqCqLRtnpfhU","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}","new_string":"// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n// - runningJobs: Count of jobs with job_state = 'running'\n// - shortJobs: Count of jobs with duration < shortThreshold\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped by user: Also joins hpc_user table to select display name\n// - Grouped by other dimensions: Selects empty string for name column (no join)\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tif col == \"job.hpc_user\" {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t\t} else {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"'' as name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").GroupBy(col)\n\t\t}\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, now),\n\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":4231,"cache_read_input_tokens":29873,"output_tokens":3261,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":4231,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPPZxMSowr7B4rTeV4p","type":"assistant","uuid":"07b68e92-25e3-420d-ab6d-5168bde87b2d","timestamp":"2026-03-11T13:40:23.259Z"} +{"type":"file-history-snapshot","messageId":"07b68e92-25e3-420d-ab6d-5168bde87b2d","snapshot":{"messageId":"6078cd0c-d1f9-49a0-a3c4-553c4bc74d13","trackedFileBackups":{"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-11T13:40:23.271Z"}},"timestamp":"2026-03-11T13:38:51.165Z"},"isSnapshotUpdate":true} +{"parentUuid":"07b68e92-25e3-420d-ab6d-5168bde87b2d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01BmDzkbWGPbgqCqLRtnpfhU","toolUseID":"toolu_01BmDzkbWGPbgqCqLRtnpfhU","timestamp":"2026-03-11T13:40:23.277Z","uuid":"57c994f7-5a82-4448-af2a-b580f88cf717"} +{"parentUuid":"07b68e92-25e3-420d-ab6d-5168bde87b2d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BmDzkbWGPbgqCqLRtnpfhU","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"6030ba8f-0157-4e17-9246-78648cdd2d3a","timestamp":"2026-03-11T13:40:23.277Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}","newString":"// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n// - runningJobs: Count of jobs with job_state = 'running'\n// - shortJobs: Count of jobs with duration < shortThreshold\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped by user: Also joins hpc_user table to select display name\n// - Grouped by other dimensions: Selects empty string for name column (no join)\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tif col == \"job.hpc_user\" {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t\t} else {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"'' as name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").GroupBy(col)\n\t\t}\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, now),\n\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped queries: Also select grouping column and user's display name from hpc_user table\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(\n\t\t\tcol,\n\t\t\t\"name\",\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),\n\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":129,"oldLines":6,"newStart":129,"newLines":7,"lines":[" // Parameters:"," // - filter: Job filters to apply (cluster, user, time range, etc.)"," // - col: Column name to GROUP BY; empty string for overall statistics without grouping","+// - shortThreshold: Duration threshold in seconds for counting short-running jobs"," //"," // Returns a SelectBuilder that produces comprehensive statistics:"," // - totalJobs: Count of jobs"]},{"oldStart":140,"oldLines":42,"newStart":141,"newLines":69,"lines":[" // - totalCoreHours: Sum of (duration × num_hwthreads) in hours"," // - totalAccs: Sum of accelerators used across all jobs"," // - totalAccHours: Sum of (duration × num_acc) in hours","+// - runningJobs: Count of jobs with job_state = 'running'","+// - shortJobs: Count of jobs with duration < shortThreshold"," //"," // Special handling:"," // - Running jobs: Duration calculated as (now - start_time) instead of stored duration","-// - Grouped queries: Also select grouping column and user's display name from hpc_user table","+// - Grouped by user: Also joins hpc_user table to select display name","+// - Grouped by other dimensions: Selects empty string for name column (no join)"," // - All time values converted from seconds to hours (÷ 3600) and rounded"," func (r *JobRepository) buildStatsQuery("," filter []*model.JobFilter,"," col string,","+ shortThreshold int,"," ) sq.SelectBuilder {","+ now := time.Now().Unix()"," var query sq.SelectBuilder"," "," if col != \"\" {","- query = sq.Select(","- col,","- \"name\",","- \"COUNT(job.id) as totalJobs\",","- \"COUNT(DISTINCT job.hpc_user) AS totalUsers\",","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, time.Now().Unix()),","- `CAST(SUM(job.num_nodes) as int) as totalNodes`,","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, time.Now().Unix()),","- `CAST(SUM(job.num_hwthreads) as int) as totalCores`,","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, time.Now().Unix()),","- `CAST(SUM(job.num_acc) as int) as totalAccs`,","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, time.Now().Unix()),","- ).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)","+ if col == \"job.hpc_user\" {","+ query = sq.Select(","+ col,","+ \"name\",","+ \"COUNT(job.id) as totalJobs\",","+ \"COUNT(DISTINCT job.hpc_user) AS totalUsers\",","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),","+ `CAST(SUM(job.num_nodes) as int) as totalNodes`,","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),","+ `CAST(SUM(job.num_hwthreads) as int) as totalCores`,","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),","+ `CAST(SUM(job.num_acc) as int) as totalAccs`,","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),","+ `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,","+ fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),","+ ).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)","+ } else {","+ query = sq.Select(","+ col,","+ \"'' as name\",","+ \"COUNT(job.id) as totalJobs\",","+ \"COUNT(DISTINCT job.hpc_user) AS totalUsers\",","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),","+ `CAST(SUM(job.num_nodes) as int) as totalNodes`,","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),","+ `CAST(SUM(job.num_hwthreads) as int) as totalCores`,","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),","+ `CAST(SUM(job.num_acc) as int) as totalAccs`,","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),","+ `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,","+ fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),","+ ).From(\"job\").GroupBy(col)","+ }"," } else {"," query = sq.Select("," \"COUNT(job.id) as totalJobs\","," \"COUNT(DISTINCT job.hpc_user) AS totalUsers\",","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, time.Now().Unix()),","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, now),"," `CAST(SUM(job.num_nodes) as int)`,","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, time.Now().Unix()),","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, now),"," `CAST(SUM(job.num_hwthreads) as int)`,","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, time.Now().Unix()),","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, now),"," `CAST(SUM(job.num_acc) as int)`,","- fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, time.Now().Unix()),","+ fmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, now),","+ `COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,","+ fmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),"," ).From(\"job\")"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"07b68e92-25e3-420d-ab6d-5168bde87b2d"} +{"parentUuid":"6030ba8f-0157-4e17-9246-78648cdd2d3a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01TdQi7q1r8ByaZRM5ax2VMv","type":"message","role":"assistant","content":[{"type":"text","text":"Now update `JobsStatsGrouped` to pass `shortThreshold` and scan the new columns:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3323,"cache_read_input_tokens":34104,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":3323},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPRnzEVSecjt65W5JKZ","type":"assistant","uuid":"ee7ed0ef-f081-4489-8685-fd47e4dc84d0","timestamp":"2026-03-11T13:40:26.496Z"} +{"parentUuid":"ee7ed0ef-f081-4489-8685-fd47e4dc84d0","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01TdQi7q1r8ByaZRM5ax2VMv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SwAptqrhS3kRzJdMCDTmBV","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}","new_string":"\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3323,"cache_read_input_tokens":34104,"output_tokens":2273,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":3323,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPRnzEVSecjt65W5JKZ","type":"assistant","uuid":"c5eeefe9-8b61-4687-b651-cb7cd7682ec4","timestamp":"2026-03-11T13:40:46.169Z"} +{"parentUuid":"c5eeefe9-8b61-4687-b651-cb7cd7682ec4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01SwAptqrhS3kRzJdMCDTmBV","toolUseID":"toolu_01SwAptqrhS3kRzJdMCDTmBV","timestamp":"2026-03-11T13:40:46.186Z","uuid":"08df137a-7bea-4421-a76a-da55c3a4038f"} +{"parentUuid":"c5eeefe9-8b61-4687-b651-cb7cd7682ec4","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SwAptqrhS3kRzJdMCDTmBV","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"73c9b615-87a0-4e73-bcfe-2fc3c78d6bdd","timestamp":"2026-03-11T13:40:46.186Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}","newString":"\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n// - runningJobs: Count of jobs with job_state = 'running'\n// - shortJobs: Count of jobs with duration < shortThreshold\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped by user: Also joins hpc_user table to select display name\n// - Grouped by other dimensions: Selects empty string for name column (no join)\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tif col == \"job.hpc_user\" {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t\t} else {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"'' as name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").GroupBy(col)\n\t\t}\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, now),\n\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\t// name := r.getUserName(ctx, id.String)\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":242,"oldLines":7,"newStart":242,"newLines":7,"lines":[" ) ([]*model.JobsStatistics, error) {"," start := time.Now()"," col := groupBy2column[*groupBy]","- query := r.buildStatsQuery(filter, col)","+ query := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)"," "," query, err := SecurityCheck(ctx, query)"," if err != nil {"]},{"oldStart":270,"oldLines":8,"newStart":270,"newLines":8,"lines":[" for rows.Next() {"," var id sql.NullString"," var name sql.NullString","- var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64","- if err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {","+ var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64","+ if err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {"," cclog.Warnf(\"Error while scanning rows: %s\", err.Error())"," return nil, err"," }"]},{"oldStart":317,"oldLines":7,"newStart":317,"newLines":6,"lines":[" }"," "," if col == \"job.hpc_user\" {","- // name := r.getUserName(ctx, id.String)"," stats = append(stats,"," &model.JobsStatistics{"," ID: id.String,"]},{"oldStart":330,"oldLines":6,"newStart":329,"newLines":8,"lines":[" TotalCoreHours: totalCoreHours,"," TotalAccs: totalAccs,"," TotalAccHours: totalAccHours,","+ RunningJobs: int(runningJobs.Int64),","+ ShortJobs: int(shortJobs.Int64),"," })"," } else {"," stats = append(stats,"]},{"oldStart":344,"oldLines":6,"newStart":345,"newLines":8,"lines":[" TotalCoreHours: totalCoreHours,"," TotalAccs: totalAccs,"," TotalAccHours: totalAccHours,","+ RunningJobs: int(runningJobs.Int64),","+ ShortJobs: int(shortJobs.Int64),"," })"," }"," }"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c5eeefe9-8b61-4687-b651-cb7cd7682ec4"} +{"parentUuid":"73c9b615-87a0-4e73-bcfe-2fc3c78d6bdd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_011NzuRn3SxfTfhphdfP1uih","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2555,"cache_read_input_tokens":37427,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2555},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPTUxLMPsthgRti2Wnz","type":"assistant","uuid":"36c588b8-e847-4efa-b653-b77dbbebb746","timestamp":"2026-03-11T13:40:51.262Z"} +{"parentUuid":"36c588b8-e847-4efa-b653-b77dbbebb746","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_011NzuRn3SxfTfhphdfP1uih","type":"message","role":"assistant","content":[{"type":"text","text":"Need to fix the remaining two call sites. Let me check what's there now:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2555,"cache_read_input_tokens":37427,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2555},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPTUxLMPsthgRti2Wnz","type":"assistant","uuid":"056eaafe-699f-48d1-9495-6c388cc49e73","timestamp":"2026-03-11T13:40:51.731Z"} +{"parentUuid":"056eaafe-699f-48d1-9495-6c388cc49e73","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_011NzuRn3SxfTfhphdfP1uih","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YXfntdEerWzsKgyLNZs7T1","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","offset":240,"limit":10},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2555,"cache_read_input_tokens":37427,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2555},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPTUxLMPsthgRti2Wnz","type":"assistant","uuid":"42885a1c-20aa-4975-b8a3-950353d88f6d","timestamp":"2026-03-11T13:40:52.639Z"} +{"parentUuid":"42885a1c-20aa-4975-b8a3-950353d88f6d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01YXfntdEerWzsKgyLNZs7T1","toolUseID":"toolu_01YXfntdEerWzsKgyLNZs7T1","timestamp":"2026-03-11T13:40:52.645Z","uuid":"677aa390-63a1-4a97-a5f8-9475b51dd1ae"} +{"parentUuid":"42885a1c-20aa-4975-b8a3-950353d88f6d","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YXfntdEerWzsKgyLNZs7T1","type":"tool_result","content":" 240→\tsortBy *model.SortByAggregate,\n 241→\tgroupBy *model.Aggregate,\n 242→) ([]*model.JobsStatistics, error) {\n 243→\tstart := time.Now()\n 244→\tcol := groupBy2column[*groupBy]\n 245→\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)\n 246→\n 247→\tquery, err := SecurityCheck(ctx, query)\n 248→\tif err != nil {\n 249→\t\treturn nil, err\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"f5aa86e7-fbc6-409b-9212-4079ba7ca3ea","timestamp":"2026-03-11T13:40:52.644Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err","numLines":10,"startLine":240,"totalLines":1153}},"sourceToolAssistantUUID":"42885a1c-20aa-4975-b8a3-950353d88f6d"} +{"parentUuid":"f5aa86e7-fbc6-409b-9212-4079ba7ca3ea","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_011NzuRn3SxfTfhphdfP1uih","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JMa1RE8uA56tVnKGiKPotD","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","offset":375,"limit":15},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2555,"cache_read_input_tokens":37427,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2555},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPTUxLMPsthgRti2Wnz","type":"assistant","uuid":"7d850a74-8c70-4b9b-9553-3984a2693a40","timestamp":"2026-03-11T13:40:53.430Z"} +{"parentUuid":"7d850a74-8c70-4b9b-9553-3984a2693a40","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JMa1RE8uA56tVnKGiKPotD","toolUseID":"toolu_01JMa1RE8uA56tVnKGiKPotD","timestamp":"2026-03-11T13:40:53.440Z","uuid":"042356fe-e21b-4080-9b30-259ee9f1489a"} +{"parentUuid":"7d850a74-8c70-4b9b-9553-3984a2693a40","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JMa1RE8uA56tVnKGiKPotD","type":"tool_result","content":" 375→//\n 376→// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n 377→// Security checks are applied via SecurityCheck to respect user access levels.\n 378→func (r *JobRepository) JobsStats(\n 379→\tctx context.Context,\n 380→\tfilter []*model.JobFilter,\n 381→) ([]*model.JobsStatistics, error) {\n 382→\tstart := time.Now()\n 383→\tquery := r.buildStatsQuery(filter, \"\")\n 384→\tquery, err := SecurityCheck(ctx, query)\n 385→\tif err != nil {\n 386→\t\treturn nil, err\n 387→\t}\n 388→\n 389→\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"b5069e09-2683-468e-8548-9142379c923e","timestamp":"2026-03-11T13:40:53.440Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","content":"//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)","numLines":15,"startLine":375,"totalLines":1153}},"sourceToolAssistantUUID":"7d850a74-8c70-4b9b-9553-3984a2693a40"} +{"parentUuid":"b5069e09-2683-468e-8548-9142379c923e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_011NzuRn3SxfTfhphdfP1uih","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YEe4pcquazUUhrGbQqcDMQ","name":"Read","input":{"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats_test.go","offset":1,"limit":40},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2555,"cache_read_input_tokens":37427,"output_tokens":527,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":2555,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPTUxLMPsthgRti2Wnz","type":"assistant","uuid":"7e1241db-e663-439c-a888-32140b0d47b6","timestamp":"2026-03-11T13:40:53.994Z"} +{"parentUuid":"7e1241db-e663-439c-a888-32140b0d47b6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01YEe4pcquazUUhrGbQqcDMQ","toolUseID":"toolu_01YEe4pcquazUUhrGbQqcDMQ","timestamp":"2026-03-11T13:40:53.998Z","uuid":"c5ec6e68-43ec-40e8-8679-e2478e05d97e"} +{"parentUuid":"7e1241db-e663-439c-a888-32140b0d47b6","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YEe4pcquazUUhrGbQqcDMQ","type":"tool_result","content":" 1→// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n 2→// All rights reserved. This file is part of cc-backend.\n 3→// Use of this source code is governed by a MIT-style\n 4→// license that can be found in the LICENSE file.\n 5→\n 6→package repository\n 7→\n 8→import (\n 9→\t\"fmt\"\n 10→\t\"testing\"\n 11→\n 12→\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n 13→)\n 14→\n 15→func TestBuildJobStatsQuery(t *testing.T) {\n 16→\tr := setup(t)\n 17→\tq := r.buildStatsQuery(nil, \"USER\")\n 18→\n 19→\tsql, _, err := q.ToSql()\n 20→\tnoErr(t, err)\n 21→\n 22→\tfmt.Printf(\"SQL: %s\\n\", sql)\n 23→}\n 24→\n 25→func TestJobStats(t *testing.T) {\n 26→\tr := setup(t)\n 27→\n 28→\tvar expectedCount int\n 29→\terr := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount)\n 30→\tnoErr(t, err)\n 31→\n 32→\tstats, err := r.JobsStats(getContext(t), []*model.JobFilter{})\n 33→\tnoErr(t, err)\n 34→\n 35→\tif stats[0].TotalJobs != expectedCount {\n 36→\t\tt.Fatalf(\"Want %d, Got %d\", expectedCount, stats[0].TotalJobs)\n 37→\t}\n 38→}\n 39→\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"uuid":"4234c6a4-254e-4711-8520-a9b75706d387","timestamp":"2026-03-11T13:40:53.998Z","toolUseResult":{"type":"text","file":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats_test.go","content":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"fmt\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\nfunc TestBuildJobStatsQuery(t *testing.T) {\n\tr := setup(t)\n\tq := r.buildStatsQuery(nil, \"USER\")\n\n\tsql, _, err := q.ToSql()\n\tnoErr(t, err)\n\n\tfmt.Printf(\"SQL: %s\\n\", sql)\n}\n\nfunc TestJobStats(t *testing.T) {\n\tr := setup(t)\n\n\tvar expectedCount int\n\terr := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount)\n\tnoErr(t, err)\n\n\tstats, err := r.JobsStats(getContext(t), []*model.JobFilter{})\n\tnoErr(t, err)\n\n\tif stats[0].TotalJobs != expectedCount {\n\t\tt.Fatalf(\"Want %d, Got %d\", expectedCount, stats[0].TotalJobs)\n\t}\n}\n","numLines":39,"startLine":1,"totalLines":39}},"sourceToolAssistantUUID":"7e1241db-e663-439c-a888-32140b0d47b6"} +{"parentUuid":"4234c6a4-254e-4711-8520-a9b75706d387","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01EJpcD6UduHXx6BmVhJHHBf","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me fix `JobsStats` and the test, and also update the scan in `JobsStats` to handle the new columns:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1846,"cache_read_input_tokens":39982,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1846},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPU4WBwbaXDy6pzQ9nV","type":"assistant","uuid":"a17c1747-d84d-4392-8e87-dc35f16d1811","timestamp":"2026-03-11T13:40:57.044Z"} +{"parentUuid":"a17c1747-d84d-4392-8e87-dc35f16d1811","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01EJpcD6UduHXx6BmVhJHHBf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TUm6mMQEtJT9aWy6urY6T7","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}","new_string":"\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1846,"cache_read_input_tokens":39982,"output_tokens":1050,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1846,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPU4WBwbaXDy6pzQ9nV","type":"assistant","uuid":"902d8462-b4df-4d92-bdfb-32453570aae7","timestamp":"2026-03-11T13:41:05.371Z"} +{"parentUuid":"902d8462-b4df-4d92-bdfb-32453570aae7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TUm6mMQEtJT9aWy6urY6T7","toolUseID":"toolu_01TUm6mMQEtJT9aWy6urY6T7","timestamp":"2026-03-11T13:41:05.377Z","uuid":"18e3b8c4-9652-4ea2-a3ea-2a9badb82cdb"} +{"parentUuid":"902d8462-b4df-4d92-bdfb-32453570aae7","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TUm6mMQEtJT9aWy6urY6T7","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"999fca6c-9186-4b04-bbf6-34109f6775cd","timestamp":"2026-03-11T13:41:05.377Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}","newString":"\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n// - runningJobs: Count of jobs with job_state = 'running'\n// - shortJobs: Count of jobs with duration < shortThreshold\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped by user: Also joins hpc_user table to select display name\n// - Grouped by other dimensions: Selects empty string for name column (no join)\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tif col == \"job.hpc_user\" {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t\t} else {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"'' as name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").GroupBy(col)\n\t\t}\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, now),\n\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":380,"oldLines":7,"newStart":380,"newLines":7,"lines":[" filter []*model.JobFilter,"," ) ([]*model.JobsStatistics, error) {"," start := time.Now()","- query := r.buildStatsQuery(filter, \"\")","+ query := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration)"," query, err := SecurityCheck(ctx, query)"," if err != nil {"," return nil, err"]},{"oldStart":389,"oldLines":8,"newStart":389,"newLines":8,"lines":[" row := query.RunWith(r.DB).QueryRowContext(ctx)"," stats := make([]*model.JobsStatistics, 0, 1)"," ","- var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours sql.NullInt64","- if err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours); err != nil {","+ var jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64","+ if err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {"," cclog.Warn(\"Error while scanning rows\")"," return nil, err"," }"]},{"oldStart":415,"oldLines":6,"newStart":415,"newLines":8,"lines":[" TotalNodeHours: totalNodeHours,"," TotalCoreHours: totalCoreHours,"," TotalAccHours: totalAccHours,","+ RunningJobs: int(runningJobs.Int64),","+ ShortJobs: int(shortJobs.Int64),"," })"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"902d8462-b4df-4d92-bdfb-32453570aae7"} +{"parentUuid":"999fca6c-9186-4b04-bbf6-34109f6775cd","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01S6fd9t99wpwHxiQoJPmabX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01R31A8DGhUBRZhrZn8upxWS","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats_test.go","old_string":"\tq := r.buildStatsQuery(nil, \"USER\")","new_string":"\tq := r.buildStatsQuery(nil, \"USER\", 300)"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1112,"cache_read_input_tokens":41828,"output_tokens":166,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1112,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPUtzyKoYPZ99Gr7eSh","type":"assistant","uuid":"c91bcc50-8213-4417-9f90-339be18c90db","timestamp":"2026-03-11T13:41:08.486Z"} +{"type":"file-history-snapshot","messageId":"c91bcc50-8213-4417-9f90-339be18c90db","snapshot":{"messageId":"6078cd0c-d1f9-49a0-a3c4-553c4bc74d13","trackedFileBackups":{"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-11T13:40:23.271Z"},"internal/repository/stats_test.go":{"backupFileName":"3bbe0046949fb6ca@v1","version":1,"backupTime":"2026-03-11T13:41:08.496Z"}},"timestamp":"2026-03-11T13:38:51.165Z"},"isSnapshotUpdate":true} +{"parentUuid":"c91bcc50-8213-4417-9f90-339be18c90db","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01R31A8DGhUBRZhrZn8upxWS","toolUseID":"toolu_01R31A8DGhUBRZhrZn8upxWS","timestamp":"2026-03-11T13:41:08.497Z","uuid":"b960751e-a04b-417b-9405-25b7407aefbf"} +{"parentUuid":"c91bcc50-8213-4417-9f90-339be18c90db","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R31A8DGhUBRZhrZn8upxWS","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats_test.go has been updated successfully."}]},"uuid":"5e836fad-8b2d-48b1-b69b-974778297e8c","timestamp":"2026-03-11T13:41:08.497Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats_test.go","oldString":"\tq := r.buildStatsQuery(nil, \"USER\")","newString":"\tq := r.buildStatsQuery(nil, \"USER\", 300)","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\npackage repository\n\nimport (\n\t\"fmt\"\n\t\"testing\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n)\n\nfunc TestBuildJobStatsQuery(t *testing.T) {\n\tr := setup(t)\n\tq := r.buildStatsQuery(nil, \"USER\")\n\n\tsql, _, err := q.ToSql()\n\tnoErr(t, err)\n\n\tfmt.Printf(\"SQL: %s\\n\", sql)\n}\n\nfunc TestJobStats(t *testing.T) {\n\tr := setup(t)\n\n\tvar expectedCount int\n\terr := r.DB.QueryRow(`SELECT COUNT(*) FROM job`).Scan(&expectedCount)\n\tnoErr(t, err)\n\n\tstats, err := r.JobsStats(getContext(t), []*model.JobFilter{})\n\tnoErr(t, err)\n\n\tif stats[0].TotalJobs != expectedCount {\n\t\tt.Fatalf(\"Want %d, Got %d\", expectedCount, stats[0].TotalJobs)\n\t}\n}\n","structuredPatch":[{"oldStart":14,"oldLines":7,"newStart":14,"newLines":7,"lines":[" "," func TestBuildJobStatsQuery(t *testing.T) {"," r := setup(t)","- q := r.buildStatsQuery(nil, \"USER\")","+ q := r.buildStatsQuery(nil, \"USER\", 300)"," "," sql, _, err := q.ToSql()"," noErr(t, err)"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"c91bcc50-8213-4417-9f90-339be18c90db"} +{"parentUuid":"5e836fad-8b2d-48b1-b69b-974778297e8c","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01LfA9XLCBdjnmwWh2tgaZ6N","type":"message","role":"assistant","content":[{"type":"text","text":"Now update the resolver to skip the separate count queries when main stats were already fetched:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":211,"cache_read_input_tokens":42940,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":211},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPV8W5BUm2mLxfu6NDW","type":"assistant","uuid":"7818fe63-a22d-4710-9cc4-3895effc36d5","timestamp":"2026-03-11T13:41:11.146Z"} +{"parentUuid":"7818fe63-a22d-4710-9cc4-3895effc36d5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01LfA9XLCBdjnmwWh2tgaZ6N","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TFDXxorerPBjaC57rann6s","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","old_string":"\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\tif requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||\n\t\trequireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\") {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter)\n\t\t} else {\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy)\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\tif groupBy != nil {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t}\n\t} else {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t}\n\t}","new_string":"\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\tfetchedMainStats := requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||\n\t\trequireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\")\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter)\n\t\t} else {\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy)\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":211,"cache_read_input_tokens":42940,"output_tokens":1092,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":211,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPV8W5BUm2mLxfu6NDW","type":"assistant","uuid":"47593f2c-9fa3-44a0-84bd-cec49891cc8f","timestamp":"2026-03-11T13:41:20.902Z"} +{"type":"file-history-snapshot","messageId":"47593f2c-9fa3-44a0-84bd-cec49891cc8f","snapshot":{"messageId":"6078cd0c-d1f9-49a0-a3c4-553c4bc74d13","trackedFileBackups":{"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v1","version":1,"backupTime":"2026-03-11T13:40:23.271Z"},"internal/repository/stats_test.go":{"backupFileName":"3bbe0046949fb6ca@v1","version":1,"backupTime":"2026-03-11T13:41:08.496Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v1","version":1,"backupTime":"2026-03-11T13:41:20.910Z"}},"timestamp":"2026-03-11T13:38:51.165Z"},"isSnapshotUpdate":true} +{"parentUuid":"47593f2c-9fa3-44a0-84bd-cec49891cc8f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01TFDXxorerPBjaC57rann6s","toolUseID":"toolu_01TFDXxorerPBjaC57rann6s","timestamp":"2026-03-11T13:41:20.913Z","uuid":"fd661dac-b52e-4c7c-9b49-f171e8def92f"} +{"parentUuid":"47593f2c-9fa3-44a0-84bd-cec49891cc8f","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TFDXxorerPBjaC57rann6s","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go has been updated successfully."}]},"uuid":"2e838443-c66b-463e-9401-93045906df58","timestamp":"2026-03-11T13:41:20.913Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/graph/schema.resolvers.go","oldString":"\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\tif requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||\n\t\trequireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\") {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter)\n\t\t} else {\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy)\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\tif groupBy != nil {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t}\n\t} else {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t}\n\t}","newString":"\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\tfetchedMainStats := requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||\n\t\trequireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\")\n\n\tif fetchedMainStats {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter)\n\t\t} else {\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy)\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\t// runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.\n\t// Only run separate count queries if main stats were not fetched.\n\tif !fetchedMainStats {\n\t\tif groupBy != nil {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t\t}\n\t\t} else {\n\t\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t\t}\n\t\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t\t}\n\t\t}\n\t}","originalFile":"package graph\n\n// This file will be automatically regenerated based on the schema, any resolver\n// implementations\n// will be copied through when generating and any unknown code will be moved to the end.\n// Code generated by github.com/99designs/gqlgen version v0.17.87\n\nimport (\n\t\"context\"\n\t\"errors\"\n\t\"fmt\"\n\t\"math\"\n\t\"regexp\"\n\t\"slices\"\n\t\"strconv\"\n\t\"strings\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/generated\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/repository\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\tccunit \"github.com/ClusterCockpit/cc-lib/v2/ccUnits\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n)\n\n// Partitions is the resolver for the partitions field.\nfunc (r *clusterResolver) Partitions(ctx context.Context, obj *schema.Cluster) ([]string, error) {\n\treturn r.Repo.Partitions(obj.Name)\n}\n\n// StartTime is the resolver for the startTime field.\nfunc (r *jobResolver) StartTime(ctx context.Context, obj *schema.Job) (*time.Time, error) {\n\ttimestamp := time.Unix(obj.StartTime, 0)\n\treturn ×tamp, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *jobResolver) Tags(ctx context.Context, obj *schema.Job) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), obj.ID)\n}\n\n// ConcurrentJobs is the resolver for the concurrentJobs field.\nfunc (r *jobResolver) ConcurrentJobs(ctx context.Context, obj *schema.Job) (*model.JobLinkResultList, error) {\n\t// FIXME: Make the hardcoded duration configurable\n\tif obj.Shared != \"none\" && obj.Duration > 600 {\n\t\treturn r.Repo.FindConcurrentJobs(ctx, obj)\n\t}\n\n\treturn nil, nil\n}\n\n// Footprint is the resolver for the footprint field.\nfunc (r *jobResolver) Footprint(ctx context.Context, obj *schema.Job) ([]*model.FootprintValue, error) {\n\trawFootprint, err := r.Repo.FetchFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.FootprintValue{}\n\tfor name, value := range rawFootprint {\n\n\t\tparts := strings.Split(name, \"_\")\n\t\tstatPart := parts[len(parts)-1]\n\t\tnameParts := parts[:len(parts)-1]\n\n\t\tres = append(res, &model.FootprintValue{\n\t\t\tName: strings.Join(nameParts, \"_\"),\n\t\t\tStat: statPart,\n\t\t\tValue: value,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// EnergyFootprint is the resolver for the energyFootprint field.\nfunc (r *jobResolver) EnergyFootprint(ctx context.Context, obj *schema.Job) ([]*model.EnergyFootprintValue, error) {\n\trawEnergyFootprint, err := r.Repo.FetchEnergyFootprint(obj)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching job energy footprint data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.EnergyFootprintValue{}\n\tfor name, value := range rawEnergyFootprint {\n\t\t// Suboptimal: Nearly hardcoded metric name expectations\n\t\tmatchCPU := regexp.MustCompile(`cpu|Cpu|CPU`)\n\t\tmatchAcc := regexp.MustCompile(`acc|Acc|ACC`)\n\t\tmatchMem := regexp.MustCompile(`mem|Mem|MEM`)\n\t\tmatchCore := regexp.MustCompile(`core|Core|CORE`)\n\n\t\thwType := \"\"\n\t\tswitch test := name; { // NOtice ';' for var declaration\n\t\tcase matchCPU.MatchString(test):\n\t\t\thwType = \"CPU\"\n\t\tcase matchAcc.MatchString(test):\n\t\t\thwType = \"Accelerator\"\n\t\tcase matchMem.MatchString(test):\n\t\t\thwType = \"Memory\"\n\t\tcase matchCore.MatchString(test):\n\t\t\thwType = \"Core\"\n\t\tdefault:\n\t\t\thwType = \"Other\"\n\t\t}\n\n\t\tres = append(res, &model.EnergyFootprintValue{\n\t\t\tHardware: hwType,\n\t\t\tMetric: name,\n\t\t\tValue: value,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *jobResolver) MetaData(ctx context.Context, obj *schema.Job) (any, error) {\n\treturn r.Repo.FetchMetadata(obj)\n}\n\n// UserData is the resolver for the userData field.\nfunc (r *jobResolver) UserData(ctx context.Context, obj *schema.Job) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, obj.User)\n}\n\n// Name is the resolver for the name field.\nfunc (r *metricValueResolver) Name(ctx context.Context, obj *schema.MetricValue) (*string, error) {\n\tpanic(fmt.Errorf(\"not implemented: Name - name\"))\n}\n\n// CreateTag is the resolver for the createTag field.\nfunc (r *mutationResolver) CreateTag(ctx context.Context, typeArg string, name string, scope string) (*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\tif user.HasRole(schema.RoleAdmin) && scope == \"admin\" ||\n\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && scope == \"global\" ||\n\t\tuser.Username == scope {\n\t\t// Create in DB\n\t\tid, err := r.Repo.CreateTag(typeArg, name, scope)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while creating tag\")\n\t\t\treturn nil, err\n\t\t}\n\t\treturn &schema.Tag{ID: id, Type: typeArg, Name: name, Scope: scope}, nil\n\t} else {\n\t\tcclog.Warnf(\"Not authorized to create tag with scope: %s\", scope)\n\t\treturn nil, fmt.Errorf(\"not authorized to create tag with scope: %s\", scope)\n\t}\n}\n\n// DeleteTag is the resolver for the deleteTag field.\nfunc (r *mutationResolver) DeleteTag(ctx context.Context, id string) (string, error) {\n\t// This Uses ID string <-> ID string, removeTagFromList uses []string <-> []int\n\tpanic(fmt.Errorf(\"not implemented: DeleteTag - deleteTag\"))\n}\n\n// AddTagsToJob is the resolver for the addTagsToJob field.\nfunc (r *mutationResolver) AddTagsToJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while adding tag to job\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Add to Job\n\t\t\tif tags, err = r.Repo.AddTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while adding tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to add tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to add tag: %d\", tid)\n\t\t}\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagsFromJob is the resolver for the removeTagsFromJob field.\nfunc (r *mutationResolver) RemoveTagsFromJob(ctx context.Context, job string, tagIds []string) ([]*schema.Tag, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\tjid, err := strconv.ParseInt(job, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\ttags := []*schema.Tag{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Support/Admin and Global Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && tscope == \"admin\" ||\n\t\t\tuser.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) && tscope == \"global\" ||\n\t\t\tuser.Username == tscope {\n\t\t\t// Remove from Job\n\t\t\tif tags, err = r.Repo.RemoveTag(user, jid, tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\n\t}\n\n\treturn tags, nil\n}\n\n// RemoveTagFromList is the resolver for the removeTagFromList field.\nfunc (r *mutationResolver) RemoveTagFromList(ctx context.Context, tagIds []string) ([]int, error) {\n\t// Needs Contextuser\n\tuser := repository.GetUserFromContext(ctx)\n\tif user == nil {\n\t\treturn nil, fmt.Errorf(\"no user in context\")\n\t}\n\n\ttags := []int{}\n\tfor _, tagID := range tagIds {\n\t\t// Get ID\n\t\ttid, err := strconv.ParseInt(tagID, 10, 64)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while parsing tag id for removal\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\t// Test Exists\n\t\t_, _, tscope, exists := r.Repo.TagInfo(tid)\n\t\tif !exists {\n\t\t\tcclog.Warnf(\"Tag does not exist (ID): %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"tag does not exist (ID): %d\", tid)\n\t\t}\n\n\t\t// Test Access: Admins && Admin Tag OR Everyone && Private Tag\n\t\tif user.HasRole(schema.RoleAdmin) && (tscope == \"global\" || tscope == \"admin\") || user.Username == tscope {\n\t\t\t// Remove from DB\n\t\t\tif err = r.Repo.RemoveTagByID(tid); err != nil {\n\t\t\t\tcclog.Warn(\"Error while removing tag\")\n\t\t\t\treturn nil, err\n\t\t\t} else {\n\t\t\t\ttags = append(tags, int(tid))\n\t\t\t}\n\t\t} else {\n\t\t\tcclog.Warnf(\"Not authorized to remove tag: %d\", tid)\n\t\t\treturn nil, fmt.Errorf(\"not authorized to remove tag: %d\", tid)\n\t\t}\n\t}\n\treturn tags, nil\n}\n\n// UpdateConfiguration is the resolver for the updateConfiguration field.\nfunc (r *mutationResolver) UpdateConfiguration(ctx context.Context, name string, value string) (*string, error) {\n\tif err := repository.GetUserCfgRepo().UpdateConfig(name, value, repository.GetUserFromContext(ctx)); err != nil {\n\t\tcclog.Warn(\"Error while updating user config\")\n\t\treturn nil, err\n\t}\n\n\treturn nil, nil\n}\n\n// ID is the resolver for the id field.\nfunc (r *nodeResolver) ID(ctx context.Context, obj *schema.Node) (string, error) {\n\tpanic(fmt.Errorf(\"not implemented: ID - id\"))\n}\n\n// SchedulerState is the resolver for the schedulerState field.\nfunc (r *nodeResolver) SchedulerState(ctx context.Context, obj *schema.Node) (schema.SchedulerState, error) {\n\tif obj.NodeState != \"\" {\n\t\treturn obj.NodeState, nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no SchedulerState (NodeState) on node object\")\n\t}\n}\n\n// HealthState is the resolver for the healthState field.\nfunc (r *nodeResolver) HealthState(ctx context.Context, obj *schema.Node) (string, error) {\n\tif obj.HealthState != \"\" {\n\t\treturn string(obj.HealthState), nil\n\t} else {\n\t\treturn \"\", fmt.Errorf(\"resolver: no HealthState (NodeState) on node object\")\n\t}\n}\n\n// MetaData is the resolver for the metaData field.\nfunc (r *nodeResolver) MetaData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.MetaData != nil {\n\t\treturn obj.MetaData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no MetaData (NodeState) on node object\")\n\t\temptyMeta := make(map[string]string, 0)\n\t\treturn emptyMeta, nil\n\t}\n}\n\n// HealthData is the resolver for the healthData field.\nfunc (r *nodeResolver) HealthData(ctx context.Context, obj *schema.Node) (any, error) {\n\tif obj.HealthData != nil {\n\t\treturn obj.HealthData, nil\n\t} else {\n\t\tcclog.Debug(\"resolver: no HealthData (NodeState) on node object\")\n\t\temptyHealth := make(map[string][]string, 0)\n\t\treturn emptyHealth, nil\n\t}\n}\n\n// Clusters is the resolver for the clusters field.\nfunc (r *queryResolver) Clusters(ctx context.Context) ([]*schema.Cluster, error) {\n\treturn archive.Clusters, nil\n}\n\n// Tags is the resolver for the tags field.\nfunc (r *queryResolver) Tags(ctx context.Context) ([]*schema.Tag, error) {\n\treturn r.Repo.GetTags(repository.GetUserFromContext(ctx), nil)\n}\n\n// GlobalMetrics is the resolver for the globalMetrics field.\nfunc (r *queryResolver) GlobalMetrics(ctx context.Context) ([]*schema.GlobalMetricListItem, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\n\tif user != nil {\n\t\tif user.HasRole(schema.RoleUser) || user.HasRole(schema.RoleManager) {\n\t\t\treturn archive.GlobalUserMetricList, nil\n\t\t}\n\t}\n\n\treturn archive.GlobalMetricList, nil\n}\n\n// User is the resolver for the user field.\nfunc (r *queryResolver) User(ctx context.Context, username string) (*model.User, error) {\n\treturn repository.GetUserRepository().FetchUserInCtx(ctx, username)\n}\n\n// AllocatedNodes is the resolver for the allocatedNodes field.\nfunc (r *queryResolver) AllocatedNodes(ctx context.Context, cluster string) ([]*model.Count, error) {\n\tdata, err := r.Repo.AllocatedNodes(cluster)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while fetching allocated nodes\")\n\t\treturn nil, err\n\t}\n\n\tcounts := make([]*model.Count, 0, len(data))\n\tfor subcluster, hosts := range data {\n\t\tcounts = append(counts, &model.Count{\n\t\t\tName: subcluster,\n\t\t\tCount: len(hosts),\n\t\t})\n\t}\n\n\treturn counts, nil\n}\n\n// Node is the resolver for the node field.\nfunc (r *queryResolver) Node(ctx context.Context, id string) (*schema.Node, error) {\n\trepo := repository.GetNodeRepository()\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\treturn repo.GetNodeByID(numericID, false)\n}\n\n// Nodes is the resolver for the nodes field.\nfunc (r *queryResolver) Nodes(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodes(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodesWithMeta is the resolver for the nodesWithMeta field.\nfunc (r *queryResolver) NodesWithMeta(ctx context.Context, filter []*model.NodeFilter, order *model.OrderByInput) (*model.NodeStateResultList, error) {\n\t// Why Extra Handler? -> graphql.CollectAllFields(ctx) only returns toplevel fields (i.e.: items, count), and not subfields like item.metaData\n\trepo := repository.GetNodeRepository()\n\tnodes, err := repo.QueryNodesWithMeta(ctx, filter, nil, order) // Ignore Paging, Order Unused\n\tcount := len(nodes)\n\treturn &model.NodeStateResultList{Items: nodes, Count: &count}, err\n}\n\n// NodeStates is the resolver for the nodeStates field.\nfunc (r *queryResolver) NodeStates(ctx context.Context, filter []*model.NodeFilter) ([]*model.NodeStates, error) {\n\trepo := repository.GetNodeRepository()\n\n\tstateCounts, serr := repo.CountStates(ctx, filter, \"node_state\")\n\tif serr != nil {\n\t\tcclog.Warnf(\"Error while counting nodeStates: %s\", serr.Error())\n\t\treturn nil, serr\n\t}\n\n\thealthCounts, herr := repo.CountStates(ctx, filter, \"health_state\")\n\tif herr != nil {\n\t\tcclog.Warnf(\"Error while counting healthStates: %s\", herr.Error())\n\t\treturn nil, herr\n\t}\n\n\tallCounts := append(stateCounts, healthCounts...)\n\n\treturn allCounts, nil\n}\n\n// NodeStatesTimed is the resolver for the nodeStatesTimed field.\nfunc (r *queryResolver) NodeStatesTimed(ctx context.Context, filter []*model.NodeFilter, typeArg string) ([]*model.NodeStatesTimed, error) {\n\trepo := repository.GetNodeRepository()\n\n\tif typeArg == \"node\" {\n\t\tstateCounts, serr := repo.CountStatesTimed(ctx, filter, \"node_state\")\n\t\tif serr != nil {\n\t\t\tcclog.Warnf(\"Error while counting nodeStates in time: %s\", serr.Error())\n\t\t\treturn nil, serr\n\t\t}\n\t\treturn stateCounts, nil\n\t}\n\n\tif typeArg == \"health\" {\n\t\thealthCounts, herr := repo.CountStatesTimed(ctx, filter, \"health_state\")\n\t\tif herr != nil {\n\t\t\tcclog.Warnf(\"Error while counting healthStates in time: %s\", herr.Error())\n\t\t\treturn nil, herr\n\t\t}\n\t\treturn healthCounts, nil\n\t}\n\n\treturn nil, errors.New(\"unknown Node State Query Type\")\n}\n\n// Job is the resolver for the job field.\nfunc (r *queryResolver) Job(ctx context.Context, id string) (*schema.Job, error) {\n\tnumericID, err := strconv.ParseInt(id, 10, 64)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while parsing job id\")\n\t\treturn nil, err\n\t}\n\n\tjob, err := r.Repo.FindByID(ctx, numericID)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while finding job by id\")\n\t\treturn nil, err\n\t}\n\n\tif user := repository.GetUserFromContext(ctx); user != nil &&\n\t\tjob.User != user.Username &&\n\t\tuser.HasNotRoles([]schema.Role{schema.RoleAdmin, schema.RoleSupport, schema.RoleManager}) {\n\t\treturn nil, errors.New(\"you are not allowed to see this job\")\n\t}\n\n\treturn job, nil\n}\n\n// JobMetrics is the resolver for the jobMetrics field.\nfunc (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope, resolution *int) ([]*model.JobMetricWithName, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying job for metrics\")\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadData(job, metrics, scopes, ctx, *resolution)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job data\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobMetricWithName{}\n\tfor name, md := range data {\n\t\tfor scope, metric := range md {\n\t\t\tres = append(res, &model.JobMetricWithName{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tMetric: metric,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, err\n}\n\n// JobStats is the resolver for the jobStats field.\nfunc (r *queryResolver) JobStats(ctx context.Context, id string, metrics []string) ([]*model.NamedStats, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading jobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := []*model.NamedStats{}\n\tfor name, md := range data {\n\t\tres = append(res, &model.NamedStats{\n\t\t\tName: name,\n\t\t\tData: &md,\n\t\t})\n\t}\n\n\treturn res, err\n}\n\n// ScopedJobStats is the resolver for the scopedJobStats field.\nfunc (r *queryResolver) ScopedJobStats(ctx context.Context, id string, metrics []string, scopes []schema.MetricScope) ([]*model.NamedStatsWithScope, error) {\n\tjob, err := r.Query().Job(ctx, id)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while querying job %s for metadata\", id)\n\t\treturn nil, err\n\t}\n\n\tdata, err := metricdispatch.LoadScopedJobStats(job, metrics, scopes, ctx)\n\tif err != nil {\n\t\tcclog.Warnf(\"Error while loading scopedJobStats data for job id %s\", id)\n\t\treturn nil, err\n\t}\n\n\tres := make([]*model.NamedStatsWithScope, 0)\n\tfor name, scoped := range data {\n\t\tfor scope, stats := range scoped {\n\n\t\t\tmdlStats := make([]*model.ScopedStats, 0)\n\t\t\tfor _, stat := range stats {\n\t\t\t\tmdlStats = append(mdlStats, &model.ScopedStats{\n\t\t\t\t\tHostname: stat.Hostname,\n\t\t\t\t\tID: stat.ID,\n\t\t\t\t\tData: stat.Data,\n\t\t\t\t})\n\t\t\t}\n\n\t\t\tres = append(res, &model.NamedStatsWithScope{\n\t\t\t\tName: name,\n\t\t\t\tScope: scope,\n\t\t\t\tStats: mdlStats,\n\t\t\t})\n\t\t}\n\t}\n\n\treturn res, nil\n}\n\n// Jobs is the resolver for the jobs field.\nfunc (r *queryResolver) Jobs(ctx context.Context, filter []*model.JobFilter, page *model.PageRequest, order *model.OrderByInput) (*model.JobResultList, error) {\n\tif page == nil {\n\t\tpage = &model.PageRequest{\n\t\t\tItemsPerPage: 50,\n\t\t\tPage: 1,\n\t\t}\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, page, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs\")\n\t\treturn nil, err\n\t}\n\n\tcount, err := r.Repo.CountJobs(ctx, filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while counting jobs\")\n\t\treturn nil, err\n\t}\n\n\t// Note: Even if App-Default 'config.Keys.UiDefaults[\"job_list_usePaging\"]' is set, always return hasNextPage boolean.\n\t// Users can decide in frontend to use continuous scroll, even if app-default is paging!\n\t// Skip if page.ItemsPerPage == -1 (\"Load All\" -> No Next Page required, Status Dashboards)\n\t/*\n\t Example Page 4 @ 10 IpP : Does item 41 exist?\n\t Minimal Page 41 @ 1 IpP : If len(result) is 1, Page 5 @ 10 IpP exists.\n\t*/\n\thasNextPage := false\n\tif page.ItemsPerPage != -1 {\n\t\tnextPage := &model.PageRequest{\n\t\t\tItemsPerPage: 1,\n\t\t\tPage: ((page.Page * page.ItemsPerPage) + 1),\n\t\t}\n\t\tnextJobs, err := r.Repo.QueryJobs(ctx, filter, nextPage, order)\n\t\tif err != nil {\n\t\t\tcclog.Warn(\"Error while querying next jobs\")\n\t\t\treturn nil, err\n\t\t}\n\t\thasNextPage = len(nextJobs) == 1\n\t}\n\n\treturn &model.JobResultList{Items: jobs, Count: &count, HasNextPage: &hasNextPage}, nil\n}\n\n// JobsStatistics is the resolver for the jobsStatistics field.\nfunc (r *queryResolver) JobsStatistics(ctx context.Context, filter []*model.JobFilter, metrics []string, page *model.PageRequest, sortBy *model.SortByAggregate, groupBy *model.Aggregate, numDurationBins *string, numMetricBins *int) ([]*model.JobsStatistics, error) {\n\tvar err error\n\tvar stats []*model.JobsStatistics\n\n\t// Top Level Defaults\n\tdefaultDurationBins := \"1h\"\n\tdefaultMetricBins := 10\n\n\tif requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||\n\t\trequireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\") {\n\t\tif groupBy == nil {\n\t\t\tstats, err = r.Repo.JobsStats(ctx, filter)\n\t\t} else {\n\t\t\tstats, err = r.Repo.JobsStatsGrouped(ctx, filter, page, sortBy, groupBy)\n\t\t}\n\t} else {\n\t\tstats = make([]*model.JobsStatistics, 0, 1)\n\t\tstats = append(stats, &model.JobsStatistics{})\n\t}\n\n\tif groupBy != nil {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")\n\t\t}\n\t} else {\n\t\tif requireField(ctx, \"shortJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")\n\t\t}\n\t\tif requireField(ctx, \"runningJobs\") {\n\t\t\tstats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")\n\t\t}\n\t}\n\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif requireField(ctx, \"histDuration\") || requireField(ctx, \"histNumNodes\") || requireField(ctx, \"histNumCores\") || requireField(ctx, \"histNumAccs\") {\n\n\t\tif numDurationBins == nil {\n\t\t\tnumDurationBins = &defaultDurationBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddHistograms(ctx, filter, stats[0], numDurationBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\tif requireField(ctx, \"histMetrics\") {\n\n\t\tif numMetricBins == nil {\n\t\t\tnumMetricBins = &defaultMetricBins\n\t\t}\n\n\t\tif groupBy == nil {\n\t\t\tstats[0], err = r.Repo.AddMetricHistograms(ctx, filter, metrics, stats[0], numMetricBins)\n\t\t\tif err != nil {\n\t\t\t\treturn nil, err\n\t\t\t}\n\t\t} else {\n\t\t\treturn nil, errors.New(\"metric histograms only implemented without groupBy argument\")\n\t\t}\n\t}\n\n\treturn stats, nil\n}\n\n// JobsMetricStats is the resolver for the jobsMetricStats field.\nfunc (r *queryResolver) JobsMetricStats(ctx context.Context, filter []*model.JobFilter, metrics []string) ([]*model.JobStats, error) {\n\t// No Paging, Fixed Order by StartTime ASC\n\torder := &model.OrderByInput{\n\t\tField: \"startTime\",\n\t\tType: \"col\",\n\t\tOrder: \"ASC\",\n\t}\n\n\tjobs, err := r.Repo.QueryJobs(ctx, filter, nil, order)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying jobs for comparison\")\n\t\treturn nil, err\n\t}\n\n\tres := []*model.JobStats{}\n\tfor _, job := range jobs {\n\t\tdata, err := metricdispatch.LoadJobStats(job, metrics, ctx)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading comparison jobStats data for job id %d\", job.JobID)\n\t\t\tcontinue\n\t\t\t// return nil, err\n\t\t}\n\n\t\tsres := []*model.NamedStats{}\n\t\tfor name, md := range data {\n\t\t\tsres = append(sres, &model.NamedStats{\n\t\t\t\tName: name,\n\t\t\t\tData: &md,\n\t\t\t})\n\t\t}\n\n\t\tnumThreadsInt := int(job.NumHWThreads)\n\t\tnumAccsInt := int(job.NumAcc)\n\t\tres = append(res, &model.JobStats{\n\t\t\tID: int(*job.ID),\n\t\t\tJobID: strconv.Itoa(int(job.JobID)),\n\t\t\tStartTime: int(job.StartTime),\n\t\t\tDuration: int(job.Duration),\n\t\t\tCluster: job.Cluster,\n\t\t\tSubCluster: job.SubCluster,\n\t\t\tNumNodes: int(job.NumNodes),\n\t\t\tNumHWThreads: &numThreadsInt,\n\t\t\tNumAccelerators: &numAccsInt,\n\t\t\tStats: sres,\n\t\t})\n\t}\n\treturn res, err\n}\n\n// JobsFootprints is the resolver for the jobsFootprints field.\nfunc (r *queryResolver) JobsFootprints(ctx context.Context, filter []*model.JobFilter, metrics []string) (*model.Footprints, error) {\n\t// NOTE: Legacy Naming! This resolver is for normalized histograms in analysis view only - *Not* related to DB \"footprint\" column!\n\treturn r.jobsFootprints(ctx, filter, metrics)\n}\n\n// RooflineHeatmap is the resolver for the rooflineHeatmap field.\nfunc (r *queryResolver) RooflineHeatmap(ctx context.Context, filter []*model.JobFilter, rows int, cols int, minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {\n\treturn r.rooflineHeatmap(ctx, filter, rows, cols, minX, minY, maxX, maxY)\n}\n\n// NodeMetrics is the resolver for the nodeMetrics field.\nfunc (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes []string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time) ([]*model.NodeMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tdefaultMetrics := make([]string, 0)\n\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\tdefaultMetrics = append(defaultMetrics, mc.Name)\n\t}\n\tif metrics == nil {\n\t\tmetrics = defaultMetrics\n\t} else {\n\t\tmetrics = slices.DeleteFunc(metrics, func(metric string) bool {\n\t\t\treturn !slices.Contains(defaultMetrics, metric) // Remove undefined metrics.\n\t\t})\n\t}\n\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\tstateMap, _ := nodeRepo.MapNodes(cluster)\n\n\tnodeMetrics := make([]*model.NodeMetrics, 0, len(data))\n\tfor hostname, metrics := range data {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0, len(metrics)*len(scopes)),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: schema.MetricScopeNode,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetrics = append(nodeMetrics, host)\n\t}\n\n\treturn nodeMetrics, nil\n}\n\n// NodeMetricsList is the resolver for the nodeMetricsList field.\nfunc (r *queryResolver) NodeMetricsList(ctx context.Context, cluster string, subCluster string, stateFilter string, nodeFilter string, scopes []schema.MetricScope, metrics []string, from time.Time, to time.Time, page *model.PageRequest, resolution *int) (*model.NodesResultList, error) {\n\tif resolution == nil { // Load from Config\n\t\tif config.Keys.EnableResampling != nil {\n\t\t\tdefaultRes := slices.Max(config.Keys.EnableResampling.Resolutions)\n\t\t\tresolution = &defaultRes\n\t\t} else { // Set 0 (Loads configured metric timestep)\n\t\t\tdefaultRes := 0\n\t\t\tresolution = &defaultRes\n\t\t}\n\t}\n\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tnodeRepo := repository.GetNodeRepository()\n\t// nodes -> array hostname\n\tnodes, stateMap, countNodes, hasNextPage, nerr := nodeRepo.GetNodesForList(ctx, cluster, subCluster, stateFilter, nodeFilter, page)\n\tif nerr != nil {\n\t\treturn nil, errors.New(\"could not retrieve node list required for resolving NodeMetricsList\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// data -> map hostname:jobdata\n\tdata, err := metricdispatch.LoadNodeListData(cluster, subCluster, nodes, metrics, scopes, *resolution, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data (Resolver.NodeMetricsList\")\n\t\treturn nil, err\n\t}\n\n\tnodeMetricsList := make([]*model.NodeMetrics, 0, len(data))\n\tfor _, hostname := range nodes {\n\t\thost := &model.NodeMetrics{\n\t\t\tHost: hostname,\n\t\t\tState: stateMap[hostname],\n\t\t\tMetrics: make([]*model.JobMetricWithName, 0),\n\t\t}\n\t\thost.SubCluster, err = archive.GetSubClusterByNode(cluster, hostname)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"error in nodeMetrics resolver: %s\", err)\n\t\t}\n\n\t\tfor metric, scopedMetrics := range data[hostname] {\n\t\t\tfor scope, scopedMetric := range scopedMetrics {\n\t\t\t\thost.Metrics = append(host.Metrics, &model.JobMetricWithName{\n\t\t\t\t\tName: metric,\n\t\t\t\t\tScope: scope,\n\t\t\t\t\tMetric: scopedMetric,\n\t\t\t\t})\n\t\t\t}\n\t\t}\n\n\t\tnodeMetricsList = append(nodeMetricsList, host)\n\t}\n\n\tnodeMetricsListResult := &model.NodesResultList{\n\t\tItems: nodeMetricsList,\n\t\t// TotalNodes depends on sum of nodes grouped on latest timestamp, see repo/node.go:357\n\t\tTotalNodes: &countNodes,\n\t\tHasNextPage: &hasNextPage,\n\t}\n\n\treturn nodeMetricsListResult, nil\n}\n\n// ClusterMetrics is the resolver for the clusterMetrics field.\nfunc (r *queryResolver) ClusterMetrics(ctx context.Context, cluster string, metrics []string, from time.Time, to time.Time) (*model.ClusterMetrics, error) {\n\tuser := repository.GetUserFromContext(ctx)\n\tif user != nil && !user.HasAnyRole([]schema.Role{schema.RoleAdmin, schema.RoleSupport}) {\n\t\treturn nil, errors.New(\"you need to be administrator or support staff for this query\")\n\t}\n\n\tif metrics == nil {\n\t\tfor _, mc := range archive.GetCluster(cluster).MetricConfig {\n\t\t\tmetrics = append(metrics, mc.Name)\n\t\t}\n\t}\n\n\t// 'nodes' == nil -> Defaults to all nodes of cluster for existing query workflow\n\tscopes := []schema.MetricScope{\"node\"}\n\tdata, err := metricdispatch.LoadNodeData(cluster, metrics, nil, scopes, from, to, ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"error while loading node data\")\n\t\treturn nil, err\n\t}\n\n\tclusterMetricData := make([]*model.ClusterMetricWithName, 0)\n\tclusterMetrics := model.ClusterMetrics{NodeCount: 0, Metrics: clusterMetricData}\n\n\tcollectorTimestep := make(map[string]int)\n\tcollectorUnit := make(map[string]schema.Unit)\n\tcollectorData := make(map[string][]schema.Float)\n\n\tfor _, metrics := range data {\n\t\tclusterMetrics.NodeCount += 1\n\t\tfor metric, scopedMetrics := range metrics {\n\t\t\tfor _, scopedMetric := range scopedMetrics {\n\t\t\t\t// Collect Info Once\n\t\t\t\t_, okTimestep := collectorTimestep[metric]\n\t\t\t\tif !okTimestep {\n\t\t\t\t\tcollectorTimestep[metric] = scopedMetric.Timestep\n\t\t\t\t}\n\t\t\t\t_, okUnit := collectorUnit[metric]\n\t\t\t\tif !okUnit {\n\t\t\t\t\tcollectorUnit[metric] = scopedMetric.Unit\n\t\t\t\t}\n\t\t\t\t// Collect Data\n\t\t\t\tfor _, ser := range scopedMetric.Series {\n\t\t\t\t\t_, okData := collectorData[metric]\n\t\t\t\t\t// Init With Datasize > 0\n\t\t\t\t\tif !okData && len(ser.Data) != 0 {\n\t\t\t\t\t\tcollectorData[metric] = make([]schema.Float, len(ser.Data))\n\t\t\t\t\t} else if !okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip init: no data -> %s at %s; size %d\", metric, ser.Hostname, len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t\t// Sum if init'd and matching size\n\t\t\t\t\tif okData && len(ser.Data) == len(collectorData[metric]) {\n\t\t\t\t\t\tfor i, val := range ser.Data {\n\t\t\t\t\t\t\tif val.IsNaN() {\n\t\t\t\t\t\t\t\tcontinue\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tcollectorData[metric][i] += val\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t} else if okData {\n\t\t\t\t\t\tcclog.Debugf(\"[SCHEMARESOLVER] clusterMetrics skip sum: data diff -> %s at %s; want size %d, have size %d\", metric, ser.Hostname, len(collectorData[metric]), len(ser.Data))\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\tfor metricName, data := range collectorData {\n\t\t// use ccUnits for backend normalization to \"Tera\"\n\t\tp_old := ccunit.NewPrefix(collectorUnit[metricName].Prefix)\n\t\tp_new := ccunit.NewPrefix(\"T\")\n\t\tconvFunc := ccunit.GetPrefixPrefixFactor(p_old, p_new)\n\t\tu_new := schema.Unit{Prefix: p_new.Prefix(), Base: collectorUnit[metricName].Base}\n\n\t\troundedData := make([]schema.Float, 0)\n\t\tfor _, v_old := range data {\n\t\t\tv_new := math.Round(convFunc(float64(v_old)).(float64)*100.0) / 100.0\n\t\t\troundedData = append(roundedData, schema.Float(v_new))\n\t\t}\n\n\t\tcm := model.ClusterMetricWithName{\n\t\t\tName: metricName,\n\t\t\tUnit: &u_new,\n\t\t\tTimestep: collectorTimestep[metricName],\n\t\t\tData: roundedData,\n\t\t}\n\n\t\tclusterMetrics.Metrics = append(clusterMetrics.Metrics, &cm)\n\t}\n\n\treturn &clusterMetrics, nil\n}\n\n// NumberOfNodes is the resolver for the numberOfNodes field.\nfunc (r *subClusterResolver) NumberOfNodes(ctx context.Context, obj *schema.SubCluster) (int, error) {\n\tnodeList, err := archive.ParseNodeList(obj.Nodes)\n\tif err != nil {\n\t\treturn 0, err\n\t}\n\treturn nodeList.NodeCount(), nil\n}\n\n// Cluster returns generated.ClusterResolver implementation.\nfunc (r *Resolver) Cluster() generated.ClusterResolver { return &clusterResolver{r} }\n\n// Job returns generated.JobResolver implementation.\nfunc (r *Resolver) Job() generated.JobResolver { return &jobResolver{r} }\n\n// MetricValue returns generated.MetricValueResolver implementation.\nfunc (r *Resolver) MetricValue() generated.MetricValueResolver { return &metricValueResolver{r} }\n\n// Mutation returns generated.MutationResolver implementation.\nfunc (r *Resolver) Mutation() generated.MutationResolver { return &mutationResolver{r} }\n\n// Node returns generated.NodeResolver implementation.\nfunc (r *Resolver) Node() generated.NodeResolver { return &nodeResolver{r} }\n\n// Query returns generated.QueryResolver implementation.\nfunc (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }\n\n// SubCluster returns generated.SubClusterResolver implementation.\nfunc (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }\n\ntype clusterResolver struct{ *Resolver }\ntype jobResolver struct{ *Resolver }\ntype metricValueResolver struct{ *Resolver }\ntype mutationResolver struct{ *Resolver }\ntype nodeResolver struct{ *Resolver }\ntype queryResolver struct{ *Resolver }\ntype subClusterResolver struct{ *Resolver }\n","structuredPatch":[{"oldStart":652,"oldLines":8,"newStart":652,"newLines":10,"lines":[" defaultDurationBins := \"1h\""," defaultMetricBins := 10"," ","- if requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||","- requireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\") {","+ fetchedMainStats := requireField(ctx, \"totalJobs\") || requireField(ctx, \"totalUsers\") || requireField(ctx, \"totalWalltime\") || requireField(ctx, \"totalNodes\") || requireField(ctx, \"totalCores\") ||","+ requireField(ctx, \"totalAccs\") || requireField(ctx, \"totalNodeHours\") || requireField(ctx, \"totalCoreHours\") || requireField(ctx, \"totalAccHours\")","+","+ if fetchedMainStats {"," if groupBy == nil {"," stats, err = r.Repo.JobsStats(ctx, filter)"," } else {"]},{"oldStart":664,"oldLines":20,"newStart":666,"newLines":24,"lines":[" stats = append(stats, &model.JobsStatistics{})"," }"," ","- if groupBy != nil {","- if requireField(ctx, \"shortJobs\") {","- stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")","+ // runningJobs and shortJobs are already inlined in JobsStats/JobsStatsGrouped.","+ // Only run separate count queries if main stats were not fetched.","+ if !fetchedMainStats {","+ if groupBy != nil {","+ if requireField(ctx, \"shortJobs\") {","+ stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"short\")","+ }","+ if requireField(ctx, \"runningJobs\") {","+ stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")","+ }","+ } else {","+ if requireField(ctx, \"shortJobs\") {","+ stats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")","+ }","+ if requireField(ctx, \"runningJobs\") {","+ stats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")","+ }"," }","- if requireField(ctx, \"runningJobs\") {","- stats, err = r.Repo.AddJobCountGrouped(ctx, filter, groupBy, stats, \"running\")","- }","- } else {","- if requireField(ctx, \"shortJobs\") {","- stats, err = r.Repo.AddJobCount(ctx, filter, stats, \"short\")","- }","- if requireField(ctx, \"runningJobs\") {","- stats, err = r.Repo.AddJobCount(ctx, filter, stats, \"running\")","- }"," }"," "," if err != nil {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"47593f2c-9fa3-44a0-84bd-cec49891cc8f"} +{"parentUuid":"2e838443-c66b-463e-9401-93045906df58","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01H3fQTxzL6gyWp3EU6Zb5iQ","type":"message","role":"assistant","content":[{"type":"text","text":"Now apply Fix 3 — map-based bin lookup in `jobsDurationStatisticsHistogram`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1138,"cache_read_input_tokens":43151,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1138},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPW3S1AHBwtExwrQj7J","type":"assistant","uuid":"40ac47fe-8b3e-4663-a108-85bd5663e10b","timestamp":"2026-03-11T13:41:23.796Z"} +{"parentUuid":"40ac47fe-8b3e-4663-a108-85bd5663e10b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01H3fQTxzL6gyWp3EU6Zb5iQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014HAWTMqxbNWKfYBbYX98S1","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}","new_string":"\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1138,"cache_read_input_tokens":43151,"output_tokens":979,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1138,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPW3S1AHBwtExwrQj7J","type":"assistant","uuid":"ac0a813c-16e8-4230-a908-3a727d68516b","timestamp":"2026-03-11T13:41:33.710Z"} +{"parentUuid":"ac0a813c-16e8-4230-a908-3a727d68516b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_014HAWTMqxbNWKfYBbYX98S1","toolUseID":"toolu_014HAWTMqxbNWKfYBbYX98S1","timestamp":"2026-03-11T13:41:33.717Z","uuid":"1071ba69-f8f9-4f9e-9a0c-066085743ccc"} +{"parentUuid":"ac0a813c-16e8-4230-a908-3a727d68516b","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014HAWTMqxbNWKfYBbYX98S1","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"aff1b5e5-9732-40c5-97de-2b448c90cc0e","timestamp":"2026-03-11T13:41:33.717Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}","newString":"\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n// - runningJobs: Count of jobs with job_state = 'running'\n// - shortJobs: Count of jobs with duration < shortThreshold\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped by user: Also joins hpc_user table to select display name\n// - Grouped by other dimensions: Selects empty string for name column (no join)\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tif col == \"job.hpc_user\" {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t\t} else {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"'' as name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").GroupBy(col)\n\t\t}\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, now),\n\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Value == (point.Value * binSizeSeconds) {\n\t\t\t\te.Count = point.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":852,"oldLines":12,"newStart":852,"newLines":18,"lines":[" "," // Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)"," // Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.","- points := make([]*model.HistoPoint, 0)","+ points := make([]*model.HistoPoint, 0, *targetBinCount)"," for i := 1; i <= *targetBinCount; i++ {"," point := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}"," points = append(points, &point)"," }"," ","+ // Build a map from bin value (seconds) to slice index for O(1) lookup.","+ binMap := make(map[int]int, len(points))","+ for i, p := range points {","+ binMap[p.Value] = i","+ }","+"," for _, f := range filters {"," query = BuildWhereClause(f, query)"," }"]},{"oldStart":869,"oldLines":8,"newStart":875,"newLines":8,"lines":[" }"," defer rows.Close()"," ","- // Match query results to pre-initialized bins.","- // point.Value from query is the bin number; multiply by binSizeSeconds to match bin.Value.","+ // Match query results to pre-initialized bins using map lookup.","+ // point.Value from query is the bin number; multiply by binSizeSeconds to get bin key."," for rows.Next() {"," point := model.HistoPoint{}"," if err := rows.Scan(&point.Value, &point.Count); err != nil {"]},{"oldStart":878,"oldLines":11,"newStart":884,"newLines":8,"lines":[" return nil, err"," }"," ","- for _, e := range points {","- if e.Value == (point.Value * binSizeSeconds) {","- e.Count = point.Count","- break","- }","+ if idx, ok := binMap[point.Value*binSizeSeconds]; ok {","+ points[idx].Count = point.Count"," }"," }"," "]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"ac0a813c-16e8-4230-a908-3a727d68516b"} +{"parentUuid":"aff1b5e5-9732-40c5-97de-2b448c90cc0e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01KNZFZztWUPACkpmMqsuRi5","type":"message","role":"assistant","content":[{"type":"text","text":"Now apply Fix 3 to `jobsMetricStatisticsHistogram`:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1022,"cache_read_input_tokens":44289,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1022},"output_tokens":5,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYwPWzG2nfjTR8JaE4PvN","type":"assistant","uuid":"5719aa01-168f-435c-bbfc-6fd4e5d1390e","timestamp":"2026-03-11T13:41:36.836Z"} +{"parentUuid":"5719aa01-168f-435c-bbfc-6fd4e5d1390e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01KNZFZztWUPACkpmMqsuRi5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GBMPvPnLkCriQkD8mFDkoe","name":"Edit","input":{"replace_all":false,"file_path":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","old_string":"\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}","new_string":"\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1022,"cache_read_input_tokens":44289,"output_tokens":880,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":1022,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPWzG2nfjTR8JaE4PvN","type":"assistant","uuid":"072e2c6c-85a4-4d43-870f-1244ed32a0c5","timestamp":"2026-03-11T13:41:44.324Z"} +{"parentUuid":"072e2c6c-85a4-4d43-870f-1244ed32a0c5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01GBMPvPnLkCriQkD8mFDkoe","toolUseID":"toolu_01GBMPvPnLkCriQkD8mFDkoe","timestamp":"2026-03-11T13:41:44.338Z","uuid":"a86b9f92-a4b2-4c61-9a8f-f117f1d16323"} +{"parentUuid":"072e2c6c-85a4-4d43-870f-1244ed32a0c5","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GBMPvPnLkCriQkD8mFDkoe","type":"tool_result","content":"The file /Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go has been updated successfully."}]},"uuid":"6a7aef22-1281-4138-8dd9-27ebf32767ac","timestamp":"2026-03-11T13:41:44.338Z","toolUseResult":{"filePath":"/Users/jan/prg/ClusterCockpit/cc-backend/internal/repository/stats.go","oldString":"\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}","newString":"\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0, *bins)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tidx := i\n\t\tepoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Build a map from bin number to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tif p.Bin != nil {\n\t\t\tbinMap[*p.Bin] = i\n\t\t}\n\t}\n\n\t// Match query results to pre-initialized bins using map lookup.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif rpoint.Bin != nil {\n\t\t\tif idx, ok := binMap[*rpoint.Bin]; ok {\n\t\t\t\tpoints[idx].Count = rpoint.Count\n\t\t\t}\n\t\t}\n\t}","originalFile":"// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.\n// All rights reserved. This file is part of cc-backend.\n// Use of this source code is governed by a MIT-style\n// license that can be found in the LICENSE file.\n\n// This file contains job statistics and histogram generation functionality for the JobRepository.\n//\n// # Job Statistics\n//\n// The statistics methods provide aggregated metrics about jobs including total jobs, users,\n// walltime, and resource usage (nodes, cores, accelerators). Statistics can be computed:\n// - Overall (JobsStats): Single aggregate across all matching jobs\n// - Grouped (JobsStatsGrouped): Aggregated by user, project, cluster, or subcluster\n// - Counts (JobCountGrouped, AddJobCount): Simple job counts with optional filtering\n//\n// All statistics methods support filtering via JobFilter and respect security contexts.\n//\n// # Histograms\n//\n// Histogram methods generate distribution data for visualization:\n// - Duration, nodes, cores, accelerators (AddHistograms)\n// - Job metrics like CPU load, memory usage (AddMetricHistograms)\n//\n// Histograms use intelligent binning:\n// - Duration: Variable bin sizes (1m, 10m, 1h, 6h, 12h, 24h) with zero-padding\n// - Resources: Natural value-based bins\n// - Metrics: Normalized to peak values with configurable bin counts\n//\n// # Running vs. Completed Jobs\n//\n// Statistics handle running jobs specially:\n// - Duration calculated as (now - start_time) for running jobs\n// - Metric histograms for running jobs load data from metric backend instead of footprint\n// - Job state filtering distinguishes running/completed jobs\n//\n// # Performance Considerations\n//\n// - All queries use prepared statements via stmtCache\n// - Complex aggregations use SQL for efficiency\n// - Histogram pre-initialization ensures consistent bin ranges\n// - Metric histogram queries limited to 5000 jobs for running job analysis\n\npackage repository\n\nimport (\n\t\"context\"\n\t\"database/sql\"\n\t\"fmt\"\n\t\"time\"\n\n\t\"github.com/ClusterCockpit/cc-backend/internal/config\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/graph/model\"\n\t\"github.com/ClusterCockpit/cc-backend/internal/metricdispatch\"\n\t\"github.com/ClusterCockpit/cc-backend/pkg/archive\"\n\tcclog \"github.com/ClusterCockpit/cc-lib/v2/ccLogger\"\n\t\"github.com/ClusterCockpit/cc-lib/v2/schema\"\n\tsq \"github.com/Masterminds/squirrel\"\n)\n\n// groupBy2column maps GraphQL Aggregate enum values to their corresponding database column names.\n// Used by JobsStatsGrouped and JobCountGrouped to translate user-facing grouping dimensions\n// into SQL GROUP BY clauses. GraphQL validation ensures only valid enum values are accepted.\nvar groupBy2column = map[model.Aggregate]string{\n\tmodel.AggregateUser: \"job.hpc_user\",\n\tmodel.AggregateProject: \"job.project\",\n\tmodel.AggregateCluster: \"job.cluster\",\n\tmodel.AggregateSubcluster: \"job.subcluster\",\n}\n\n// sortBy2column maps GraphQL SortByAggregate enum values to their corresponding computed column names.\n// Used by JobsStatsGrouped to translate sort preferences into SQL ORDER BY clauses.\n// Column names match the AS aliases used in buildStatsQuery.\nvar sortBy2column = map[model.SortByAggregate]string{\n\tmodel.SortByAggregateTotaljobs: \"totalJobs\",\n\tmodel.SortByAggregateTotalusers: \"totalUsers\",\n\tmodel.SortByAggregateTotalwalltime: \"totalWalltime\",\n\tmodel.SortByAggregateTotalnodes: \"totalNodes\",\n\tmodel.SortByAggregateTotalnodehours: \"totalNodeHours\",\n\tmodel.SortByAggregateTotalcores: \"totalCores\",\n\tmodel.SortByAggregateTotalcorehours: \"totalCoreHours\",\n\tmodel.SortByAggregateTotalaccs: \"totalAccs\",\n\tmodel.SortByAggregateTotalacchours: \"totalAccHours\",\n}\n\n// buildCountQuery constructs a SQL query to count jobs with optional grouping and filtering.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - kind: Special filter - \"running\" for running jobs only, \"short\" for jobs under threshold\n// - col: Column name to GROUP BY; empty string for total count without grouping\n//\n// Returns a SelectBuilder that produces either:\n// - Single count: COUNT(job.id) when col is empty\n// - Grouped counts: col, COUNT(job.id) when col is specified\n//\n// The kind parameter enables counting specific job categories:\n// - \"running\": Only jobs with job_state = 'running'\n// - \"short\": Only jobs with duration < ShortRunningJobsDuration config value\n// - empty: All jobs matching filters\nfunc (r *JobRepository) buildCountQuery(\n\tfilter []*model.JobFilter,\n\tkind string,\n\tcol string,\n) sq.SelectBuilder {\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tquery = sq.Select(col, \"COUNT(job.id)\").From(\"job\").GroupBy(col)\n\t} else {\n\t\tquery = sq.Select(\"COUNT(job.id)\").From(\"job\")\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tquery = query.Where(\"job.job_state = ?\", \"running\")\n\tcase \"short\":\n\t\tquery = query.Where(\"job.duration < ?\", config.Keys.ShortRunningJobsDuration)\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// buildStatsQuery constructs a SQL query to compute comprehensive job statistics with optional grouping.\n//\n// Parameters:\n// - filter: Job filters to apply (cluster, user, time range, etc.)\n// - col: Column name to GROUP BY; empty string for overall statistics without grouping\n// - shortThreshold: Duration threshold in seconds for counting short-running jobs\n//\n// Returns a SelectBuilder that produces comprehensive statistics:\n// - totalJobs: Count of jobs\n// - totalUsers: Count of distinct users (always 0 when grouping by user)\n// - totalWalltime: Sum of job durations in hours\n// - totalNodes: Sum of nodes used across all jobs\n// - totalNodeHours: Sum of (duration × num_nodes) in hours\n// - totalCores: Sum of hardware threads used across all jobs\n// - totalCoreHours: Sum of (duration × num_hwthreads) in hours\n// - totalAccs: Sum of accelerators used across all jobs\n// - totalAccHours: Sum of (duration × num_acc) in hours\n// - runningJobs: Count of jobs with job_state = 'running'\n// - shortJobs: Count of jobs with duration < shortThreshold\n//\n// Special handling:\n// - Running jobs: Duration calculated as (now - start_time) instead of stored duration\n// - Grouped by user: Also joins hpc_user table to select display name\n// - Grouped by other dimensions: Selects empty string for name column (no join)\n// - All time values converted from seconds to hours (÷ 3600) and rounded\nfunc (r *JobRepository) buildStatsQuery(\n\tfilter []*model.JobFilter,\n\tcol string,\n\tshortThreshold int,\n) sq.SelectBuilder {\n\tnow := time.Now().Unix()\n\tvar query sq.SelectBuilder\n\n\tif col != \"\" {\n\t\tif col == \"job.hpc_user\" {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").LeftJoin(\"hpc_user ON hpc_user.username = job.hpc_user\").GroupBy(col)\n\t\t} else {\n\t\t\tquery = sq.Select(\n\t\t\t\tcol,\n\t\t\t\t\"'' as name\",\n\t\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int) as totalWalltime`, now),\n\t\t\t\t`CAST(SUM(job.num_nodes) as int) as totalNodes`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int) as totalNodeHours`, now),\n\t\t\t\t`CAST(SUM(job.num_hwthreads) as int) as totalCores`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int) as totalCoreHours`, now),\n\t\t\t\t`CAST(SUM(job.num_acc) as int) as totalAccs`,\n\t\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int) as totalAccHours`, now),\n\t\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t\t).From(\"job\").GroupBy(col)\n\t\t}\n\t} else {\n\t\tquery = sq.Select(\n\t\t\t\"COUNT(job.id) as totalJobs\",\n\t\t\t\"COUNT(DISTINCT job.hpc_user) AS totalUsers\",\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END)) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_nodes) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_nodes) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_hwthreads) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_hwthreads) / 3600) as int)`, now),\n\t\t\t`CAST(SUM(job.num_acc) as int)`,\n\t\t\tfmt.Sprintf(`CAST(ROUND(SUM((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) * job.num_acc) / 3600) as int)`, now),\n\t\t\t`COUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs`,\n\t\t\tfmt.Sprintf(`COUNT(CASE WHEN job.duration < %d THEN 1 END) as shortJobs`, shortThreshold),\n\t\t).From(\"job\")\n\t}\n\n\tfor _, f := range filter {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\treturn query\n}\n\n// JobsStatsGrouped computes comprehensive job statistics grouped by a dimension (user, project, cluster, or subcluster).\n//\n// This is the primary method for generating aggregated statistics views in the UI, providing\n// metrics like total jobs, walltime, and resource usage broken down by the specified grouping.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n// - page: Optional pagination (ItemsPerPage: -1 disables pagination)\n// - sortBy: Optional sort column (totalJobs, totalWalltime, totalCoreHours, etc.)\n// - groupBy: Required grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns a slice of JobsStatistics, one per group, with:\n// - ID: The group identifier (username, project name, cluster name, etc.)\n// - Name: Display name (for users, from hpc_user.name; empty for other groups)\n// - Statistics: totalJobs, totalUsers, totalWalltime, resource usage metrics\n//\n// Security: Respects user roles via SecurityCheck - users see only their own data unless admin/support.\n// Performance: Results are sorted in SQL and pagination applied before scanning rows.\nfunc (r *JobRepository) JobsStatsGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tpage *model.PageRequest,\n\tsortBy *model.SortByAggregate,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildStatsQuery(filter, col, config.Keys.ShortRunningJobsDuration)\n\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\tif sortBy != nil {\n\t\tsortBy := sortBy2column[*sortBy]\n\t\tquery = query.OrderBy(fmt.Sprintf(\"%s DESC\", sortBy))\n\t}\n\tif page != nil && page.ItemsPerPage != -1 {\n\t\tlimit := uint64(page.ItemsPerPage)\n\t\tquery = query.Offset((uint64(page.Page) - 1) * limit).Limit(limit)\n\t}\n\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar name sql.NullString\n\t\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\t\tif err := rows.Scan(&id, &name, &jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows: %s\", err.Error())\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif id.Valid {\n\t\t\tvar totalJobs, totalUsers, totalWalltime, totalNodes, totalNodeHours, totalCores, totalCoreHours, totalAccs, totalAccHours int\n\t\t\tvar personName string\n\n\t\t\tif name.Valid {\n\t\t\t\tpersonName = name.String\n\t\t\t}\n\n\t\t\tif jobs.Valid {\n\t\t\t\ttotalJobs = int(jobs.Int64)\n\t\t\t}\n\n\t\t\tif users.Valid {\n\t\t\t\ttotalUsers = int(users.Int64)\n\t\t\t}\n\n\t\t\tif walltime.Valid {\n\t\t\t\ttotalWalltime = int(walltime.Int64)\n\t\t\t}\n\n\t\t\tif nodes.Valid {\n\t\t\t\ttotalNodes = int(nodes.Int64)\n\t\t\t}\n\t\t\tif cores.Valid {\n\t\t\t\ttotalCores = int(cores.Int64)\n\t\t\t}\n\t\t\tif accs.Valid {\n\t\t\t\ttotalAccs = int(accs.Int64)\n\t\t\t}\n\n\t\t\tif nodeHours.Valid {\n\t\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t\t}\n\t\t\tif coreHours.Valid {\n\t\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t\t}\n\t\t\tif accHours.Valid {\n\t\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t\t}\n\n\t\t\tif col == \"job.hpc_user\" {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tName: personName,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t} else {\n\t\t\t\tstats = append(stats,\n\t\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\t\tID: id.String,\n\t\t\t\t\t\tTotalJobs: totalJobs,\n\t\t\t\t\t\tTotalUsers: totalUsers,\n\t\t\t\t\t\tTotalWalltime: totalWalltime,\n\t\t\t\t\t\tTotalNodes: totalNodes,\n\t\t\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\t\t\tTotalCores: totalCores,\n\t\t\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\t\t\tTotalAccs: totalAccs,\n\t\t\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t\t\t})\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobsStatsGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// JobsStats computes overall job statistics across all matching jobs without grouping.\n//\n// This method provides a single aggregate view of job metrics, useful for dashboard\n// summaries and overall system utilization reports.\n//\n// Parameters:\n// - ctx: Context for security checks and cancellation\n// - filter: Filters to apply (time range, cluster, job state, etc.)\n//\n// Returns a single-element slice containing aggregate statistics:\n// - totalJobs, totalUsers, totalWalltime\n// - totalNodeHours, totalCoreHours, totalAccHours\n//\n// Unlike JobsStatsGrouped, this returns overall totals without breaking down by dimension.\n// Security checks are applied via SecurityCheck to respect user access levels.\nfunc (r *JobRepository) JobsStats(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildStatsQuery(filter, \"\", config.Keys.ShortRunningJobsDuration)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\n\trow := query.RunWith(r.DB).QueryRowContext(ctx)\n\tstats := make([]*model.JobsStatistics, 0, 1)\n\n\tvar jobs, users, walltime, nodes, nodeHours, cores, coreHours, accs, accHours, runningJobs, shortJobs sql.NullInt64\n\tif err := row.Scan(&jobs, &users, &walltime, &nodes, &nodeHours, &cores, &coreHours, &accs, &accHours, &runningJobs, &shortJobs); err != nil {\n\t\tcclog.Warn(\"Error while scanning rows\")\n\t\treturn nil, err\n\t}\n\n\tif jobs.Valid {\n\t\tvar totalNodeHours, totalCoreHours, totalAccHours int\n\n\t\tif nodeHours.Valid {\n\t\t\ttotalNodeHours = int(nodeHours.Int64)\n\t\t}\n\t\tif coreHours.Valid {\n\t\t\ttotalCoreHours = int(coreHours.Int64)\n\t\t}\n\t\tif accHours.Valid {\n\t\t\ttotalAccHours = int(accHours.Int64)\n\t\t}\n\t\tstats = append(stats,\n\t\t\t&model.JobsStatistics{\n\t\t\t\tTotalJobs: int(jobs.Int64),\n\t\t\t\tTotalUsers: int(users.Int64),\n\t\t\t\tTotalWalltime: int(walltime.Int64),\n\t\t\t\tTotalNodeHours: totalNodeHours,\n\t\t\t\tTotalCoreHours: totalCoreHours,\n\t\t\t\tTotalAccHours: totalAccHours,\n\t\t\t\tRunningJobs: int(runningJobs.Int64),\n\t\t\t\tShortJobs: int(shortJobs.Int64),\n\t\t\t})\n\t}\n\n\tcclog.Debugf(\"Timer JobStats %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// LoadJobStat retrieves a specific statistic for a metric from a job's statistics.\n// Returns 0.0 if the metric is not found or statType is invalid.\n//\n// Parameters:\n// - job: Job struct with populated Statistics field\n// - metric: Name of the metric to query (e.g., \"cpu_load\", \"mem_used\")\n// - statType: Type of statistic: \"avg\", \"min\", or \"max\"\n//\n// Returns the requested statistic value or 0.0 if not found.\nfunc LoadJobStat(job *schema.Job, metric string, statType string) float64 {\n\tif stats, ok := job.Statistics[metric]; ok {\n\t\tswitch statType {\n\t\tcase \"avg\":\n\t\t\treturn stats.Avg\n\t\tcase \"max\":\n\t\t\treturn stats.Max\n\t\tcase \"min\":\n\t\t\treturn stats.Min\n\t\tdefault:\n\t\t\tcclog.Errorf(\"Unknown stat type %s\", statType)\n\t\t}\n\t}\n\n\treturn 0.0\n}\n\n// JobCountGrouped counts jobs grouped by a dimension without computing detailed statistics.\n//\n// This is a lightweight alternative to JobsStatsGrouped when only job counts are needed,\n// avoiding the overhead of calculating walltime and resource usage metrics.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (User, Project, Cluster, or SubCluster)\n//\n// Returns JobsStatistics with only ID and TotalJobs populated for each group.\nfunc (r *JobRepository) JobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, \"\", col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tstats := make([]*model.JobsStatistics, 0, 100)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tstats = append(stats,\n\t\t\t\t&model.JobsStatistics{\n\t\t\t\t\tID: id.String,\n\t\t\t\t\tTotalJobs: int(cnt.Int64),\n\t\t\t\t})\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer JobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCountGrouped augments existing statistics with additional job counts by category.\n//\n// This method enriches JobsStatistics returned by JobsStatsGrouped or JobCountGrouped\n// with counts of running or short-running (based on ShortRunningJobsDuration) jobs, matched by group ID.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - groupBy: Grouping dimension (must match the dimension used for stats parameter)\n// - stats: Existing statistics to augment (modified in-place by ID matching)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields populated per group.\n// Groups without matching jobs will have 0 for the added field.\nfunc (r *JobRepository) AddJobCountGrouped(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tgroupBy *model.Aggregate,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tcol := groupBy2column[*groupBy]\n\tquery := r.buildCountQuery(filter, kind, col)\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\trows, err := query.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job statistics\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tcounts := make(map[string]int)\n\n\tfor rows.Next() {\n\t\tvar id sql.NullString\n\t\tvar cnt sql.NullInt64\n\t\tif err := rows.Scan(&id, &cnt); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\t\tif id.Valid {\n\t\t\tcounts[id.String] = int(cnt.Int64)\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = counts[s.ID]\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = counts[s.ID]\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCountGrouped %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddJobCount augments existing overall statistics with additional job counts by category.\n//\n// Similar to AddJobCountGrouped but for ungrouped statistics. Applies the same count\n// to all statistics entries (typically just one).\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply\n// - stats: Existing statistics to augment (modified in-place)\n// - kind: \"running\" to add RunningJobs count, \"short\" to add ShortJobs count\n//\n// Returns the same stats slice with RunningJobs or ShortJobs fields set to the total count.\nfunc (r *JobRepository) AddJobCount(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstats []*model.JobsStatistics,\n\tkind string,\n) ([]*model.JobsStatistics, error) {\n\tstart := time.Now()\n\tquery := r.buildCountQuery(filter, kind, \"\")\n\tquery, err := SecurityCheck(ctx, query)\n\tif err != nil {\n\t\treturn nil, err\n\t}\n\tvar cnt sql.NullInt64\n\tif err := query.RunWith(r.DB).QueryRowContext(ctx).Scan(&cnt); err != nil {\n\t\tcclog.Warn(\"Error while querying DB for job count\")\n\t\treturn nil, err\n\t}\n\n\tcount := int(cnt.Int64)\n\n\tswitch kind {\n\tcase \"running\":\n\t\tfor _, s := range stats {\n\t\t\ts.RunningJobs = count\n\t\t}\n\tcase \"short\":\n\t\tfor _, s := range stats {\n\t\t\ts.ShortJobs = count\n\t\t}\n\t}\n\n\tcclog.Debugf(\"Timer AddJobCount %s\", time.Since(start))\n\treturn stats, nil\n}\n\n// AddHistograms augments statistics with distribution histograms for job properties.\n//\n// Generates histogram data for visualization of job duration, node count, core count,\n// and accelerator count distributions. Duration histogram uses intelligent binning based\n// on the requested resolution.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply to jobs included in histograms\n// - stat: Statistics struct to augment (modified in-place)\n// - durationBins: Bin size - \"1m\", \"10m\", \"1h\", \"6h\", \"12h\", or \"24h\" (default)\n//\n// Populates these fields in stat:\n// - HistDuration: Job duration distribution (zero-padded bins)\n// - HistNumNodes: Node count distribution\n// - HistNumCores: Core (hwthread) count distribution\n// - HistNumAccs: Accelerator count distribution\n//\n// Duration bins are pre-initialized with zeros to ensure consistent ranges for visualization.\n// Bin size determines both the width and maximum duration displayed (e.g., \"1h\" = 48 bins × 1h = 48h max).\nfunc (r *JobRepository) AddHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tstat *model.JobsStatistics,\n\tdurationBins *string,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\tvar targetBinCount int\n\tvar targetBinSize int\n\tswitch *durationBins {\n\tcase \"1m\": // 1 Minute Bins + Max 60 Bins -> Max 60 Minutes\n\t\ttargetBinCount = 60\n\t\ttargetBinSize = 60\n\tcase \"10m\": // 10 Minute Bins + Max 72 Bins -> Max 12 Hours\n\t\ttargetBinCount = 72\n\t\ttargetBinSize = 600\n\tcase \"1h\": // 1 Hour Bins + Max 48 Bins -> Max 48 Hours\n\t\ttargetBinCount = 48\n\t\ttargetBinSize = 3600\n\tcase \"6h\": // 6 Hour Bins + Max 12 Bins -> Max 3 Days\n\t\ttargetBinCount = 12\n\t\ttargetBinSize = 21600\n\tcase \"12h\": // 12 hour Bins + Max 14 Bins -> Max 7 Days\n\t\ttargetBinCount = 14\n\t\ttargetBinSize = 43200\n\tdefault: // 24h\n\t\ttargetBinCount = 24\n\t\ttargetBinSize = 3600\n\t}\n\n\tvar err error\n\t// Return X-Values always as seconds, will be formatted into minutes and hours in frontend\n\tvalue := fmt.Sprintf(`CAST(ROUND(((CASE WHEN job.job_state = \"running\" THEN %d - job.start_time ELSE job.duration END) / %d) + 1) as int) as value`, time.Now().Unix(), targetBinSize)\n\tstat.HistDuration, err = r.jobsDurationStatisticsHistogram(ctx, value, filter, targetBinSize, &targetBinCount)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: job duration\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, \"job.num_nodes as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num nodes\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumCores, err = r.jobsStatisticsHistogram(ctx, \"job.num_hwthreads as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num hwthreads\")\n\t\treturn nil, err\n\t}\n\n\tstat.HistNumAccs, err = r.jobsStatisticsHistogram(ctx, \"job.num_acc as value\", filter)\n\tif err != nil {\n\t\tcclog.Warn(\"Error while loading job statistics histogram: num acc\")\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer AddHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// AddMetricHistograms augments statistics with distribution histograms for job metrics.\n//\n// Generates histogram data for metrics like CPU load, memory usage, etc. Handles running\n// and completed jobs differently: running jobs load data from metric backend, completed jobs\n// use footprint data from database.\n//\n// Parameters:\n// - ctx: Context for security checks\n// - filter: Filters to apply (MUST contain State filter for running jobs)\n// - metrics: List of metric names to histogram (e.g., [\"cpu_load\", \"mem_used\"])\n// - stat: Statistics struct to augment (modified in-place)\n// - targetBinCount: Number of histogram bins (default: 10)\n//\n// Populates HistMetrics field in stat with MetricHistoPoints for each metric.\n//\n// Binning algorithm:\n// - Values normalized to metric's peak value from cluster configuration\n// - Bins evenly distributed from 0 to peak\n// - Pre-initialized with zeros for consistent visualization\n//\n// Limitations:\n// - Running jobs: Limited to 5000 jobs for performance\n// - Requires valid cluster configuration with metric peak values\n// - Uses footprint statistic (avg/max/min) configured per metric\nfunc (r *JobRepository) AddMetricHistograms(\n\tctx context.Context,\n\tfilter []*model.JobFilter,\n\tmetrics []string,\n\tstat *model.JobsStatistics,\n\ttargetBinCount *int,\n) (*model.JobsStatistics, error) {\n\tstart := time.Now()\n\n\t// Running Jobs Only: First query jobdata from sqlite, then query data and make bins\n\tfor _, f := range filter {\n\t\tif f.State != nil {\n\t\t\tif len(f.State) == 1 && f.State[0] == \"running\" {\n\t\t\t\tstat.HistMetrics = r.runningJobsMetricStatisticsHistogram(ctx, metrics, filter, targetBinCount)\n\t\t\t\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\t\t\t\treturn stat, nil\n\t\t\t}\n\t\t}\n\t}\n\n\t// All other cases: Query and make bins in sqlite directly\n\tfor _, m := range metrics {\n\t\tmetricHisto, err := r.jobsMetricStatisticsHistogram(ctx, m, filter, targetBinCount)\n\t\tif err != nil {\n\t\t\tcclog.Warnf(\"Error while loading job metric statistics histogram: %s\", m)\n\t\t\tcontinue\n\t\t}\n\t\tstat.HistMetrics = append(stat.HistMetrics, metricHisto)\n\t}\n\n\tcclog.Debugf(\"Timer AddMetricHistograms %s\", time.Since(start))\n\treturn stat, nil\n}\n\n// jobsStatisticsHistogram generates a simple histogram by grouping on a column value.\n//\n// Used for histograms where the column value directly represents the bin (e.g., node count, core count).\n// Unlike duration/metric histograms, this doesn't pre-initialize bins with zeros.\n//\n// Parameters:\n// - value: SQL expression that produces the histogram value, aliased as \"value\"\n// - filters: Job filters to apply\n//\n// Returns histogram points with Value (from column) and Count (number of jobs).\nfunc (r *JobRepository) jobsStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\tpoints := make([]*model.HistoPoint, 0)\n\t// is it possible to introduce zero values here? requires info about bincount\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tpoints = append(points, &point)\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsDurationStatisticsHistogram generates a duration histogram with pre-initialized bins.\n//\n// Bins are zero-padded to provide consistent ranges for visualization, unlike simple\n// histograms which only return bins with data. The value parameter should compute\n// the bin number from job duration.\n//\n// Parameters:\n// - value: SQL expression computing bin number from duration, aliased as \"value\"\n// - filters: Job filters to apply\n// - binSizeSeconds: Width of each bin in seconds\n// - targetBinCount: Number of bins to pre-initialize\n//\n// Returns histogram points with Value (bin_number × binSizeSeconds) and Count.\n// All bins from 1 to targetBinCount are returned, with Count=0 for empty bins.\n//\n// Algorithm:\n// 1. Pre-initialize targetBinCount bins with zero counts\n// 2. Query database for actual counts per bin\n// 3. Match query results to pre-initialized bins by value\n// 4. Bins without matches remain at zero\nfunc (r *JobRepository) jobsDurationStatisticsHistogram(\n\tctx context.Context,\n\tvalue string,\n\tfilters []*model.JobFilter,\n\tbinSizeSeconds int,\n\ttargetBinCount *int,\n) ([]*model.HistoPoint, error) {\n\tstart := time.Now()\n\tquery, qerr := SecurityCheck(ctx,\n\t\tsq.Select(value, \"COUNT(job.id) AS count\").From(\"job\"))\n\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\t// Each bin represents a duration range: bin N = [N*binSizeSeconds, (N+1)*binSizeSeconds)\n\t// Example: binSizeSeconds=3600 (1 hour), bin 1 = 0-1h, bin 2 = 1-2h, etc.\n\tpoints := make([]*model.HistoPoint, 0, *targetBinCount)\n\tfor i := 1; i <= *targetBinCount; i++ {\n\t\tpoint := model.HistoPoint{Value: i * binSizeSeconds, Count: 0}\n\t\tpoints = append(points, &point)\n\t}\n\n\t// Build a map from bin value (seconds) to slice index for O(1) lookup.\n\tbinMap := make(map[int]int, len(points))\n\tfor i, p := range points {\n\t\tbinMap[p.Value] = i\n\t}\n\n\tfor _, f := range filters {\n\t\tquery = BuildWhereClause(f, query)\n\t}\n\n\trows, err := query.GroupBy(\"value\").RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Error(\"Error while running query\")\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Match query results to pre-initialized bins using map lookup.\n\t// point.Value from query is the bin number; multiply by binSizeSeconds to get bin key.\n\tfor rows.Next() {\n\t\tpoint := model.HistoPoint{}\n\t\tif err := rows.Scan(&point.Value, &point.Count); err != nil {\n\t\t\tcclog.Warn(\"Error while scanning rows\")\n\t\t\treturn nil, err\n\t\t}\n\n\t\tif idx, ok := binMap[point.Value*binSizeSeconds]; ok {\n\t\t\tpoints[idx].Count = point.Count\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn points, nil\n}\n\n// jobsMetricStatisticsHistogram generates a metric histogram using footprint data from completed jobs.\n//\n// Values are normalized to the metric's peak value and distributed into bins. The algorithm\n// is based on SQL histogram generation techniques, extracting metric values from JSON footprint\n// and computing bin assignments in SQL.\n//\n// Parameters:\n// - metric: Metric name (e.g., \"cpu_load\", \"mem_used\")\n// - filters: Job filters to apply\n// - bins: Number of bins to generate\n//\n// Returns MetricHistoPoints with metric name, unit, footprint stat type, and binned data.\n//\n// Algorithm:\n// 1. Determine peak value from cluster configuration (filtered cluster or max across all)\n// 2. Generate SQL that extracts footprint value, normalizes to [0,1], multiplies by bin count\n// 3. Pre-initialize bins with min/max ranges based on peak value\n// 4. Query database for counts per bin\n// 5. Match results to pre-initialized bins\n//\n// Special handling: Values exactly equal to peak are forced into the last bin by multiplying\n// peak by 0.999999999 to avoid creating an extra bin.\nfunc (r *JobRepository) jobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetric string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) (*model.MetricHistoPoints, error) {\n\t// Peak value defines the upper bound for binning: values are distributed across\n\t// bins from 0 to peak. First try to get peak from filtered cluster, otherwise\n\t// scan all clusters to find the maximum peak value.\n\tvar metricConfig *schema.MetricConfig\n\tvar peak float64\n\tvar unit string\n\tvar footprintStat string\n\n\t// Try to get metric config from filtered cluster\n\tfor _, f := range filters {\n\t\tif f.Cluster != nil {\n\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\tpeak = metricConfig.Peak\n\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\tfootprintStat = metricConfig.Footprint\n\t\t\tcclog.Debugf(\"Cluster %s filter found with peak %f for %s\", *f.Cluster.Eq, peak, metric)\n\t\t}\n\t}\n\n\t// If no cluster filter or peak not found, find largest peak across all clusters\n\t// This ensures histogram can accommodate all possible values\n\tif peak == 0.0 {\n\t\tfor _, c := range archive.Clusters {\n\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\tif m.Name == metric {\n\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t}\n\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t}\n\t\t\t\t\tif footprintStat == \"\" {\n\t\t\t\t\t\tfootprintStat = m.Footprint\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\n\t// Construct SQL histogram bins using normalized values.\n\t// Algorithm based on: https://jereze.com/code/sql-histogram/ (modified)\n\tstart := time.Now()\n\n\t// Bin calculation formula:\n\t// bin_number = CAST( (value / peak) * num_bins AS INTEGER ) + 1\n\t// Special case: value == peak would create bin N+1, so we test for equality\n\t// and multiply peak by 0.999999999 to force it into bin N.\n\tbinQuery := fmt.Sprintf(`CAST(\n\t\t((case when json_extract(footprint, \"$.%s\") = %f then %f*0.999999999 else json_extract(footprint, \"$.%s\") end) / %f)\n\t\t* %v as INTEGER )`,\n\t\t(metric + \"_\" + footprintStat), peak, peak, (metric + \"_\" + footprintStat), peak, *bins)\n\n\tmainQuery := sq.Select(\n\t\tfmt.Sprintf(`%s + 1 as bin`, binQuery),\n\t\t`count(*) as count`,\n\t).From(\"job\").Where(\n\t\t\"JSON_VALID(footprint)\",\n\t).Where(fmt.Sprintf(`json_extract(footprint, \"$.%s\") is not null and json_extract(footprint, \"$.%s\") <= %f`, (metric + \"_\" + footprintStat), (metric + \"_\" + footprintStat), peak))\n\n\tmainQuery, qerr := SecurityCheck(ctx, mainQuery)\n\tif qerr != nil {\n\t\treturn nil, qerr\n\t}\n\n\tfor _, f := range filters {\n\t\tmainQuery = BuildWhereClause(f, mainQuery)\n\t}\n\n\tmainQuery = mainQuery.GroupBy(\"bin\").OrderBy(\"bin\")\n\n\trows, err := mainQuery.RunWith(r.DB).QueryContext(ctx)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while running mainQuery: %s\", err)\n\t\treturn nil, err\n\t}\n\tdefer rows.Close()\n\n\t// Pre-initialize bins with calculated min/max ranges.\n\t// Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]\n\tpoints := make([]*model.MetricHistoPoint, 0)\n\tbinStep := int(peak) / *bins\n\tfor i := 1; i <= *bins; i++ {\n\t\tbinMin := (binStep * (i - 1))\n\t\tbinMax := (binStep * i)\n\t\tepoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}\n\t\tpoints = append(points, &epoint)\n\t}\n\n\t// Match query results to pre-initialized bins.\n\tfor rows.Next() {\n\t\trpoint := model.MetricHistoPoint{}\n\t\tif err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil {\n\t\t\tcclog.Warnf(\"Error while scanning rows for %s\", metric)\n\t\t\treturn nil, err\n\t\t}\n\n\t\tfor _, e := range points {\n\t\t\tif e.Bin != nil && rpoint.Bin != nil && *e.Bin == *rpoint.Bin {\n\t\t\t\te.Count = rpoint.Count\n\t\t\t\tbreak\n\t\t\t}\n\t\t}\n\t}\n\n\tif err := rows.Err(); err != nil {\n\t\treturn nil, err\n\t}\n\n\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Stat: &footprintStat, Data: points}\n\n\tcclog.Debugf(\"Timer jobsStatisticsHistogram %s\", time.Since(start))\n\treturn &result, nil\n}\n\n// runningJobsMetricStatisticsHistogram generates metric histograms for running jobs using live data.\n//\n// Unlike completed jobs which use footprint data from the database, running jobs require\n// fetching current metric averages from the metric backend (via metricdispatch).\n//\n// Parameters:\n// - metrics: List of metric names\n// - filters: Job filters (should filter to running jobs only)\n// - bins: Number of histogram bins\n//\n// Returns slice of MetricHistoPoints, one per metric.\n//\n// Limitations:\n// - Maximum 5000 jobs (returns nil if more jobs match)\n// - Requires metric backend availability\n// - Bins based on metric peak values from cluster configuration\n//\n// Algorithm:\n// 1. Query first 5001 jobs to check count limit\n// 2. Load metric averages for all jobs via metricdispatch\n// 3. For each metric, create bins based on peak value\n// 4. Iterate averages and count jobs per bin\nfunc (r *JobRepository) runningJobsMetricStatisticsHistogram(\n\tctx context.Context,\n\tmetrics []string,\n\tfilters []*model.JobFilter,\n\tbins *int,\n) []*model.MetricHistoPoints {\n\t// Get Jobs\n\tjobs, err := r.QueryJobs(ctx, filters, &model.PageRequest{Page: 1, ItemsPerPage: 5000 + 1}, nil)\n\tif err != nil {\n\t\tcclog.Errorf(\"Error while querying jobs for footprint: %s\", err)\n\t\treturn nil\n\t}\n\tif len(jobs) > 5000 {\n\t\tcclog.Errorf(\"too many jobs matched (max: %d)\", 5000)\n\t\treturn nil\n\t}\n\n\t// Get AVGs from metric repo\n\tavgs := make([][]schema.Float, len(metrics))\n\tfor i := range avgs {\n\t\tavgs[i] = make([]schema.Float, 0, len(jobs))\n\t}\n\n\tfor _, job := range jobs {\n\t\tif job.MonitoringStatus == schema.MonitoringStatusDisabled || job.MonitoringStatus == schema.MonitoringStatusArchivingFailed {\n\t\t\tcontinue\n\t\t}\n\n\t\tif err := metricdispatch.LoadAverages(job, metrics, avgs, ctx); err != nil {\n\t\t\tcclog.Errorf(\"Error while loading averages for histogram: %s\", err)\n\t\t\treturn nil\n\t\t}\n\t}\n\n\t// Iterate metrics to fill endresult\n\tdata := make([]*model.MetricHistoPoints, 0)\n\tfor idx, metric := range metrics {\n\t\t// Get specific Peak or largest Peak\n\t\tvar metricConfig *schema.MetricConfig\n\t\tvar peak float64\n\t\tvar unit string\n\n\t\tfor _, f := range filters {\n\t\t\tif f.Cluster != nil {\n\t\t\t\tmetricConfig = archive.GetMetricConfig(*f.Cluster.Eq, metric)\n\t\t\t\tpeak = metricConfig.Peak\n\t\t\t\tunit = metricConfig.Unit.Prefix + metricConfig.Unit.Base\n\t\t\t}\n\t\t}\n\n\t\tif peak == 0.0 {\n\t\t\tfor _, c := range archive.Clusters {\n\t\t\t\tfor _, m := range c.MetricConfig {\n\t\t\t\t\tif m.Name == metric {\n\t\t\t\t\t\tif m.Peak > peak {\n\t\t\t\t\t\t\tpeak = m.Peak\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif unit == \"\" {\n\t\t\t\t\t\t\tunit = m.Unit.Prefix + m.Unit.Base\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\t// Make and fill bins\n\t\tpeakBin := int(peak) / *bins\n\n\t\tpoints := make([]*model.MetricHistoPoint, 0)\n\t\tfor b := 0; b < *bins; b++ {\n\t\t\tcount := 0\n\t\t\tbindex := b + 1\n\t\t\tbmin := peakBin * b\n\t\t\tbmax := peakBin * (b + 1)\n\n\t\t\t// Iterate AVG values for indexed metric and count for bins\n\t\t\tfor _, val := range avgs[idx] {\n\t\t\t\tif int(val) >= bmin && int(val) < bmax {\n\t\t\t\t\tcount += 1\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Append Bin to Metric Result Array\n\t\t\tpoint := model.MetricHistoPoint{Bin: &bindex, Count: count, Min: &bmin, Max: &bmax}\n\t\t\tpoints = append(points, &point)\n\t\t}\n\n\t\t// Append Metric Result Array to final results array\n\t\tresult := model.MetricHistoPoints{Metric: metric, Unit: unit, Data: points}\n\t\tdata = append(data, &result)\n\t}\n\n\treturn data\n}\n","structuredPatch":[{"oldStart":1004,"oldLines":16,"newStart":1004,"newLines":25,"lines":[" "," // Pre-initialize bins with calculated min/max ranges."," // Example: peak=1000, bins=10 -> bin 1=[0,100), bin 2=[100,200), ..., bin 10=[900,1000]","- points := make([]*model.MetricHistoPoint, 0)","+ points := make([]*model.MetricHistoPoint, 0, *bins)"," binStep := int(peak) / *bins"," for i := 1; i <= *bins; i++ {"," binMin := (binStep * (i - 1))"," binMax := (binStep * i)","- epoint := model.MetricHistoPoint{Bin: &i, Count: 0, Min: &binMin, Max: &binMax}","+ idx := i","+ epoint := model.MetricHistoPoint{Bin: &idx, Count: 0, Min: &binMin, Max: &binMax}"," points = append(points, &epoint)"," }"," ","- // Match query results to pre-initialized bins.","+ // Build a map from bin number to slice index for O(1) lookup.","+ binMap := make(map[int]int, len(points))","+ for i, p := range points {","+ if p.Bin != nil {","+ binMap[*p.Bin] = i","+ }","+ }","+","+ // Match query results to pre-initialized bins using map lookup."," for rows.Next() {"," rpoint := model.MetricHistoPoint{}"," if err := rows.Scan(&rpoint.Bin, &rpoint.Count); err != nil 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\tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.834s","is_error":false}]},"uuid":"4870dcdb-4be4-4477-afc5-87613fbcfa4e","timestamp":"2026-03-11T13:42:06.259Z","toolUseResult":{"stdout":"ok \tgithub.com/ClusterCockpit/cc-backend/internal/repository\t0.834s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"1c0ae649-13f5-4bef-96a4-a45836b6762f"} +{"parentUuid":"4870dcdb-4be4-4477-afc5-87613fbcfa4e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01DzuwWB2VsTHCEefR9KADws","type":"message","role":"assistant","content":[{"type":"text","text":"All tests pass. Here's a summary of what was implemented:\n\n### Fix 1: Merged 3 queries into 1 (biggest impact)\n`buildStatsQuery` now gains a `shortThreshold int` parameter and always emits two extra columns:\n```sql\nCOUNT(CASE WHEN job.job_state = 'running' THEN 1 END) as runningJobs,\nCOUNT(CASE WHEN job.duration < THEN 1 END) as shortJobs\n```\n`JobsStatsGrouped` and `JobsStats` now scan these columns and populate `RunningJobs`/`ShortJobs` directly.\n\nIn `schema.resolvers.go`, a `fetchedMainStats` bool gates the separate `AddJobCountGrouped`/`AddJobCount` calls — they only run if the main stats query was skipped entirely.\n\n### Fix 2: Removed unnecessary LEFT JOIN for non-user grouping\n`buildStatsQuery` now only adds `.LeftJoin(\"hpc_user ON ...\")` and selects `name` when `col == \"job.hpc_user\"`. For project/cluster/subcluster grouping, it selects `'' as name` with no join.\n\n### Fix 3: O(1) map lookup for histogram bin matching\nBoth `jobsDurationStatisticsHistogram` and `jobsMetricStatisticsHistogram` now pre-build a `binMap` after initializing the points slice, replacing the O(n×bins) inner loop with a single map lookup per result row.\n\n### Fix 4: Single `time.Now().Unix()` call per query build\n`now := time.Now().Unix()` is computed once at the top of `buildStatsQuery` and reused in all CASE WHEN expressions."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":119,"cache_read_input_tokens":49969,"output_tokens":418,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":119,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYwPZPGwJC5y9kpbLPr96","type":"assistant","uuid":"3119bfd9-f134-456e-a3bc-58fed958121e","timestamp":"2026-03-11T13:42:17.764Z"} +{"parentUuid":"3119bfd9-f134-456e-a3bc-58fed958121e","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"entire hooks claude-code 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+{"type":"file-history-snapshot","messageId":"56f11da5-20f9-4066-bee5-84082166f523","snapshot":{"messageId":"56f11da5-20f9-4066-bee5-84082166f523","trackedFileBackups":{"internal/repository/stats.go":{"backupFileName":"37b1ab532d191fe8@v2","version":2,"backupTime":"2026-03-11T14:07:10.923Z"},"internal/repository/stats_test.go":{"backupFileName":"3bbe0046949fb6ca@v2","version":2,"backupTime":"2026-03-11T14:07:10.923Z"},"internal/graph/schema.resolvers.go":{"backupFileName":"117e2419c7a90363@v2","version":2,"backupTime":"2026-03-11T14:07:10.923Z"}},"timestamp":"2026-03-11T14:07:10.922Z"},"isSnapshotUpdate":false} +{"parentUuid":"f3c988d8-d7e6-45b6-9538-a62a59746012","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","type":"user","message":{"role":"user","content":"Explain how Fix 3 works and why this is an improvement"},"uuid":"56f11da5-20f9-4066-bee5-84082166f523","timestamp":"2026-03-11T14:07:10.287Z","permissionMode":"acceptEdits"} 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+{"parentUuid":"bff53c51-8126-465e-bb14-048a3b02876a","isSidechain":false,"userType":"external","cwd":"/Users/jan/prg/ClusterCockpit/cc-backend","sessionId":"c85f0d9d-5ec7-4e08-a07a-be075090ec2d","version":"2.1.72","gitBranch":"hotfix","slug":"rosy-churning-spindle","message":{"model":"claude-sonnet-4-6","id":"msg_01DsfaL1wJoSMdqUv2UNuo6T","type":"message","role":"assistant","content":[{"type":"text","text":"### The problem: O(n × bins) inner loop\n\nAfter querying the database, the code needs to match each query result row to its pre-initialized bin. The original code did this with a nested loop:\n\n```go\n// For each row returned by the query...\nfor rows.Next() {\n rows.Scan(&point.Value, &point.Count)\n\n // ...scan every bin to find the matching one\n for _, e := range points {\n if e.Value == (point.Value * binSizeSeconds) {\n e.Count = point.Count\n break\n }\n }\n}\n```\n\nIf the query returns `R` rows and there are `B` bins, this is **O(R × B)** — every result row triggers a full scan of the `points` slice until it finds its match. For the duration histogram with 48 bins, each of the up to 48 result rows scans up to 48 entries = up to 2,304 comparisons. Small here, but the pattern is still wasteful.\n\n### The fix: build a reverse index first\n\n```go\n// Build map once: bin value (seconds) → slice index\nbinMap := make(map[int]int, len(points))\nfor i, p := range points {\n binMap[p.Value] = i // e.g. 3600 → 0, 7200 → 1, ...\n}\n\n// Then during row scan: one map lookup per row\nfor rows.Next() {\n rows.Scan(&point.Value, &point.Count)\n if idx, ok := binMap[point.Value * binSizeSeconds]; ok {\n points[idx].Count = point.Count\n }\n}\n```\n\nBuilding the map is **O(B)** once. Each result row lookup is **O(1)** average. Total: **O(B + R)** instead of **O(R × B)**.\n\n### Why it also fixes a correctness subtlety\n\nThe original loop used `break` to stop after the first match — relying on the assumption that bin values are unique (which they are, since they're `1×size, 2×size, ...`). The map makes this uniqueness structural rather than implicit.\n\n### Practical impact\n\nFor histograms the bins are small (max ~72), so the raw speedup here is modest. The more significant benefit is in `jobsMetricStatisticsHistogram`, which is called once per metric per stats request — if someone requests 10 metrics, that's 10 × O(R×B) inner loops replaced with 10 × O(B+R). 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